Identification of Preferences in Forced-Choice Conjoint Experiments: Reassessing the Quantity of Interest

Forced-choice conjoint experiments have become a standard component of the experimental toolbox in political science and sociology. Yet the literature has largely overlooked the fact that conjoint experiments can be used for two distinct purposes: to uncover respondents’ multidimensional preferences, and to estimate the causal effects of some attributes on a profile’s selection probability in a multidimensional choice setting. This paper makes the argument that this distinction is both analytically and practically relevant, because the quantity of interest is contingent on the purpose of the study. The vast majority of social scientists relying on conjoint analyses, including most scholars interested in studying preferences, have adopted the average marginal component effect (AMCE) as their main quantity of interest. The paper shows that the AMCE is neither conceptually nor practically suited to explore respondents’ preferences. Not only is it essentially a causal quantity conceptually at odds with the goal of describing patterns of preferences, but it also does generally not identify preferences, mixing them with compositional effects unrelated to preferences. This paper proposes a novel estimand—the average component preference—designed to explore patterns of preferences, and it presents a method for estimating it.

Advanced Bronchoscopic Technologies for Biopsy of the Pulmonary Nodule: A 2021 Review

The field of interventional pulmonology (IP) has grown from a fringe subspecialty utilized in only a few centers worldwide to a standard component in advanced medical centers. IP is increasingly recognized for its value in patient care and its ability to deliver minimally invasive and cost-effective diagnostics and treatments. This article will provide an in-depth review of advanced bronchoscopic technologies used by IP physicians focusing on pulmonary nodules. While most pulmonary nodules are benign, malignant nodules represent the earliest detectable manifestation of lung cancer. Lung cancer is the second most common and the deadliest cancer worldwide. Differentiating benign from malignant nodules is clinically challenging as these entities are often indistinguishable radiographically. Tissue biopsy is often required to discriminate benign from malignant nodule etiologies. A safe and accurate means of definitively differentiating benign from malignant nodules would be highly valuable for patients, and the medical system at large. This would translate into a greater number of early-stage cancer detections while reducing the burden of surgical resections for benign disease. There is little high-grade evidence to guide clinicians on optimal lung nodule tissue sampling modalities. The number of novel technologies available for this purpose has rapidly expanded over the last decade, making it difficult for clinicians to assess their efficacy. Unfortunately, there is a wide variety of methods used to determine the accuracy of these technologies, making comparisons across studies impossible. This paper will provide an in-depth review of available data regarding advanced bronchoscopic technologies.

Effects of Negation and Uncertainty Stratification on Text-Derived Patient Profile Similarity

Semantic similarity is a useful approach for comparing patient phenotypes, and holds the potential of an effective method for exploiting text-derived phenotypes for differential diagnosis, text and document classification, and outcome prediction. While approaches for context disambiguation are commonly used in text mining applications, forming a standard component of information extraction pipelines, their effects on semantic similarity calculations have not been widely explored. In this work, we evaluate how inclusion and disclusion of negated and uncertain mentions of concepts from text-derived phenotypes affects similarity of patients, and the use of those profiles to predict diagnosis. We report on the effectiveness of these approaches and report a very small, yet significant, improvement in performance when classifying primary diagnosis over MIMIC-III patient visits.

Knowledge of the good Samaritan drug overdose act and possession of a naloxone kit among people recently released from prison

Purpose This study aims to describe knowledge of Canada’s Good Samaritan Drug Overdose Act (GSDOA) and take home naloxone (THN) training and kit possession among people being released from provincial correctional facilities in British Columbia. Design/methodology/approach The authors conducted surveys with clients of the Unlocking the Gates Peer Health Mentoring program on their release. The authors compared the characteristics of people who had and had not heard of the GSDOA and who were in possession of a THN kit. Findings In this study, 71% people had heard of the GSDOA, and 55.6% were in possession of a THN kit. This study found that 99% of people who had heard of the GSDOA indicated that they would call 911 if they saw an overdose. Among people who perceived themselves to be at risk of overdose, 28.3% did not have a THN kit. Only half (52%) of participants had a mobile phone, but 100% of those with a phone said they would call 911 if they witnessed an overdose. Originality/value The authors found that people with knowledge of the GSDOA were likely to report that they would call 911 for help with an overdose. Education about the GSDOA should be a standard component of naloxone training in correctional facilities. More than one in four people at risk of overdose were released without a naloxone kit, highlighting opportunities for training and distribution. Access to a cellphone is important in enabling calls to 911 and should be included in discharge planning.

Stopwords in technical language processing

There are increasing applications of natural language processing techniques for information retrieval, indexing, topic modelling and text classification in engineering contexts. A standard component of such tasks is the removal of stopwords, which are uninformative components of the data. While researchers use readily available stopwords lists that are derived from non-technical resources, the technical jargon of engineering fields contains their own highly frequent and uninformative words and there exists no standard stopwords list for technical language processing applications. Here we address this gap by rigorously identifying generic, insignificant, uninformative stopwords in engineering texts beyond the stopwords in general texts, based on the synthesis of alternative statistical measures such as term frequency, inverse document frequency, and entropy, and curating a stopwords dataset ready for technical language processing applications.

ANALYSIS OF DEMAND FOR COUNSELLING SERVICES FOR UNIVERSITY / COLLEGE STUDENTS

The offer for counselling services at universities and colleges is nowadays their standard component. University counselling focuses on learning, psychological, social, special-pedagogical and career issues. The aim of the paper is to acquaint with the results of the demand analysis for counselling services among students of all grades of the selected university in the Czech Republic. The results identified specific areas where students would need guidance or their further development (e. g. soft skills) while gender and student preference differences at different stages of study were found for most indicators. The results of such investigations are the core basis for reflection, innovation and improvement of the university counselling services status quo.

Analisis Sistem Kelistrikan Body pada Sepeda Motor Suzuki Nex-FI

A motorcycle has an electrical system that functions to make the vehicle operate and provide comfort and safety while driving. Generally, the electrical system on a motorcycle can be divided into three parts: the filling system, the lighting system, and the ignition system. In this study, an analysis was carried out on the body's electrical system, which has more functions in the lighting system. Examining the body's electrical system is carried out by checking the voltage, resistance, and current flowing in each electrical component. The results of these measurements are adjusted to the standard component specifications in the manual. Based on the results of the component inspection, it can be concluded that the inspection of the body's electrical system includes headlights, city lights, rear lights, turn signals, and horns on Nex-FI motorbikes after 5 years of operation in normal conditions according to standards and functions according to their respective roles.

Digital leadership: State governance in the era of digital technology

The rise of digital technology, as represented by artificial intelligence, blockchain technology, cloud computing, big data, edge computing and 5G, is not only leading a new round of economic and industrial transformation, but also reshaping society and fundamentally transforming state governance. In retrospect, almost every recent catastrophe in China has been followed by substantial advances in the Chinese internet. While the COVID-19 pandemic poses a daunting challenge for the country, it has provided an opportunity for digital technology to be deployed in the fight against it. After COVID-19, it will be important to establish a model of governance that is compatible with digital technology, so a government with digital leadership will be a standard component of a digital society. Digital leadership and state capacity are theoretically based on the same foundation. Both are organic bodies supported by digital insights, digital decision-making, digital implementation and digital guidance, with digital thinking as the basis. All aspects collaborate throughout the process of state governance to assist its modernisation. Digital competence, platforms, government and talent should be improved as part of digital leadership.

Paul Hindemith's Symphonic Metamorphosis of Themes by Carl Maria von Weber for Orchestra: A Historical and Analytical Perspective

A now standard component of orchestral and wind band repertoire, Symphonic Metamorphosis of Themes by Carl Maria von Weber was originally intended to be ballet music. This study examines the history and background surrounding Paul Hindemith's orchestral piece and demonstrates how Hindemith crafted each movement based off Weber's original piano duets and incidental orchestral music. The study was undertaken as limited information exists about the piece in its entirety, and much of what has been written primarily concerns itself with grammatical and contextual aspects of Hindemith's title. Existing analyses either only focus on a singular movement, or are limited; presumably, due to a prevailing notion that Hindemith simply orchestrated the piano pieces. Potentially exacerbating the issue may be the fact that it was not known for nearly twenty years after Symphonic Metamorphosis was premiered which Weber duets Hindemith reworked. This analysis, coupled with the background information provided, shows that Hindemith's settings transcend mere orchestrations and, in some cases, exhibit qualities of original composition. The analysis thoroughly delineates Weber's Turandot overture and three piano duets, part by part and hand by hand, to show exactly where and how Hindemith altered the original writings. The differences in overall form, measure numbers, tempi, meter, and harmony are listed. In addition, it is revealed which thematic additions, alterations, and omissions Hindemith includes.

Blindness above and below the Poverty Line: Reflections form Sofala, Mozambique

Although the correlation between visual impairment and poverty has been established, economic assessment is not a standard component of blindness surveys. The purpose of this study was to determine the prevalence of avoidable blindness and its association with poverty in Sofala province of Mozambique. As part of a Rapid Assessment of Avoidable Blindness, 94% of a random sample of 3600 people >50 years responded to questions regarding daily per capita expenditure. The WHO definition of blindness (presenting visual acuity <3/60) was used to determine the visual status of participants, and the World Bank’s threshold of living on <$1.25 International Dollar a day demarcated the poverty line. The prevalence of blindness was 3.2% [95% Confidence Interval (CI): 2.6, 3.8]. People living below the poverty line had significantly greater odds of being blind [Odds Ratio (OR): 2.6 (CI: 1.6 to 4.5)]. Age above 60 [OR: 7.0 [CI: 4.6 to 10.80] predicted blindness but the association with illiteracy, gender or rural residence was not significant. Blindness disproportionately affects people living below the poverty line. Development initiatives could augment the impact of blindness prevention programs. Measuring poverty should become a standard component of visual impairment surveys.