Miracle-dz/UniFAR-FTUs huggingface dataset:
Revisiting personal information management through information practices with activity tracking technology

Personal information management (PIM) is an interdisciplinary research area with established theoretical foundations from information science and applied empirical research from human‐computer interaction (HCI). The increasingly popular activity tracking technology (ATT) has given rise to a new type of personal information about one's daily physical activities, which has not been scrutinized under theoretical frameworks in PIM. This article presents an in‐depth qualitative interview study supplemented by participant‐driven photo elicitation with 20 long‐term activity tracker users about how they manage personal information generated by ATT. Key findings include the identification of two distinctive user groups (i.e., consistent casual users and powers users) among long‐term activity tracker users and an in‐depth portrayal of these groups' PIM behaviors with ATT. These behaviors include concurrent and subsequent PIM practices, 6 types of PIM activities, and the use of a spectrum of PIM tools. This research provides timely theoretical updates to PIM under the background of self‐tracking technologies, outlines empirical implications to improve ATT in support of PIM, and offers recommendations for incorporating participant‐driven photo elicitation as a supplementary method for qualitative interviews in information behavior research.
HEALTH ASPECTS OF KARATE AS PHYSICAL EDUCATION AND EXTRACURRICULAR ACTIVITY

The present study examined energy expenditure, metabolic equivalent (MET) intensities of karate exercises for health promotion, and bone properties of karate practitioners to examine the health aspects of karate as physical education and an extracurricular activity. The mean energy expenditure following a 70-minute karate practice was 563 kcal for men and 268 kcal for women. The calculated mean MET intensities resulting from the 70-minute karate practice were 7.9 METs for men and 5.2 METs for women. The mean MET intensities of all exercises for men and women were above 3 METs which is defined as “active physical activity” in the “Physical Activity Reference for Health Promotion 2013” in Japan. Practicing karate, especially sparring techniques, may help to enhance bone mineral density. It appears that longer duration, higher frequency, and earlier start of physical training positively influenced skeletal status. Article visualizations:
The Size of Tradable Sectors and Economic Growth

Using the dataset in a maximum of 187 countries for the period 1960-2014, I show that the size of tradable sectors is positively associated with economic growth. Empirical results illustrate that growth effects of the size of tradable sectors are significant and relatively higher in developing countries, compared with developed countries. The estimation results are robust to sensitivity to outliers, different measures of the size of tradable sectors, additional covariates and cross-sectional regressions. I also show that developing countries tend to have higher marginal output in tradable sectors, implying their comparative advantage in the production of labor-intensive industries.
A New Method in Short-Term Heart Rate Variability — Five-Class Density Histogram

— A five-class density histogram with an index named cumulative density was proposed to analyze the short-term HRV. 150 subjects participated in the test, falling into three groups with equal numbers -- the healthy young group (Young), the healthy old group (Old), and the group of patients with congestive heart failure (CHF). Results of multiple comparisons showed a significant differences of the cumulative density in the three groups, with values 0.0238 for Young, 0.0406 for Old and 0.0732 for CHF (p<0.001). After 7 days and 14 days, 46 subjects from the Young and Old groups were retested twice following the same test protocol. Results showed good-to-excellent interclass correlations (ICC=0.783, 95% confidence interval 0.676-0.864). The Bland-Altman plots were used to reexamine the test-retest reliability. In conclusion, the method proposed could be a valid and reliable method to the short-term HRV assessment.
Low temperature silicidation of Pd layers on crystalline silicon monitored via in situ resistance measurements

Metal-silicon contacts may degrade during (SOI) wafer processing at unknown, high temperature conditions such as caused by sputtering or etching. We observed this phenomenon for Pd contacts on SOI wafers. Suicide formation of Pd contacts on crystalline silicon has therefore been investigated for low temperatures (57 - 135°C). We present an elegant measurement technique for monitoring the suicide formation process using in situ four point resistance measurements. From this the Pd2Si thickness was determined via a resistance model. The results obtained via this simple measurement technique showed that suicide formation of Pd contacts on Si occurs already at 57°C, which is a temperature easily reached during metal sputtering onto thin SOI wafers. Furthermore, below approximately 100°C our results indicated that apart from Pd2Si formation also mixed layers of Pd in Si and vice versa exist whereas at higher temperatures these mixed layers are absent or not significantly present. In addition, we consider this measurement technique as an elegant, universally applicable method for monitoring suicide formation of metal-silicon contacts.
Experimental results with observer-based nonlinear compensation of friction in a positioning system

Friction is an undesired phenomenon in many drive systems. Feedforward of a suitable estimate of friction is an effective method to compensate the friction-dependent position errors in the steady state. The speed of reconstruction of the real friction is crucial for the grade of improvements which can be achieved for the transient behaviour. A nonlinear model-based approach is presented in this paper which due to the reconstruction of the sign changes of friction yields good results. Moreover, the described control and compensation is easy to implement and turns out to be very robust in real operation.
Investigation of hot metal gas forming process of square parts

Aluminum alloys are considered a lot in the automotive and aerospace industry because of their high strength to weight ratio. In this manuscript, the gas forming process of aluminum AA6063 tubes at high temperatures up to 500°C is investigated, through experimental and numerical tests. Therefore, an experimental setup is prepared and so, tube specimens are formed in a die with square cross section. Finite element simulation of the hot gas forming process is carried out to investigate the effects of process parameters including time period of forming process, temperature, and loading path. Uniaxial tensile tests under various temperatures and strain rates is performed, in order to obtain flow stress curves of the material. Corner radius and thickness distribution of tubular formed parts is investigated. The results show smaller corner radii could be formed at higher temperatures, whereas lower forming pressure is necessary. Increasing the time period of the process enhances the corners of the specimens to be formed. In addition, the maximum of formability is obtained when the gas pressure increases rapidly at the beginning of the process. However, the increasing rate of gas pressure must be reduced to form a smaller corner radius.
Interruption of Continuous Opioid Exposure Exacerbates Drug-Evoked Adaptations in Brain Function and Behavior

Background Drug-evoked adaptations in the mesolimbic dopamine system drive opioid abuse and addiction, but these adaptations vary in magnitude and direction following different patterns of opioid exposure. Despite fundamental links between the pattern of drug exposure and abuse liability, few studies have systematically manipulated the pattern of opioid administration while measuring neurobiological and behavioral impact. Methods In male and female mice, we first compared the behavioral consequences of chronic morphine exposure for one week, across multiple doses and with administration patterns that were either intermittent (daily injections) or continuous (osmotic minipump infusion). We then interrupted continuous morphine exposure with twice-daily naloxone injections, and used next-generation RNA sequencing to perform genome-wide transcriptional profiling in the nucleus accumbens and dorsal striatum. Results Continuous morphine exposure caused tolerance to both the antinociceptive and psychomotor-activating effects of morphine. In contrast, both intermittent and interrupted morphine exposure caused long-lasting psychomotor sensitization. The interruption of continuous morphine exposure exacerbated drug-evoked transcriptional changes in the nucleus accumbens and dorsal striatum, dramatically increasing the number of differentially expressed transcripts and engaging unique signaling pathways. Conclusions These experiments indicate that opioid-evoked adaptations in brain function and behavior are critically dependent on the pattern of drug administration, and exacerbated by interruption of continuous exposure. Maintaining continuity of chronic opioid administration may therefore represent a strategy to minimize detrimental effects on brain reward circuits. This may in turn reduce the risk of progression from opioid use to abuse, promoting safer use of opioid-based treatments for clinical indications.
WAVELET DE-NOISING OF OPTICAL TERAHERTZ PULSE IMAGING DATA

Terahertz pulse imaging (TPI) systems are used to obtain sub-millimeter spectroscopic measurements for a wide range of applications. This letter highlights the use of wavelet de-noising to markedly improve the SNR of the obtained data, increasing the SNR by up to 10 dB. A comparison of different wavelet families and properties is presented and the results demonstrated on THz image data of an oak leaf and an Australian $100 note.
Systematic increases in the thermodynamic response of hourly precipitation extremes in an idealized warming experiment with a convection-permitting climate model

Changes in sub-daily precipitation extremes potentially lead to large impacts of climate change due to their influence on soil erosion, landslides, and flooding. However, these changes are still rather uncertain, with only limited high-resolution results available and a lack of fundamental knowledge on the processes leading to sub-daily extremes. Here, we study the response of hourly extremes in a convection-permitting regional climate model (CPRCM) for an idealized warming experiment—repeating present-day observed weather under warmer and moister conditions. Ten months of simulation covering summer and early autumn for two domains over western Central Europe and western Mediterranean are performed. In general, we obtain higher sensitivities to warming for local-scale extreme precipitation at the original grid-scale of 2.5–3 km than for aggregated analyses at a scale of 12–15 km, representative for currently conventional regional climate models. The grid-scale sensitivity over sea, and in particular over the Mediterranean Sea, approaches 12%–16% increase per degree, close to two times the Clausius–Clapeyron (CC) relation. In contrast, over the dry parts of Spain the sensitivity is close to the CC rate of 6%–7% per degree. For other land areas, sensitivities are in between these two values, with a tendency for the cooler and more humid areas to show lower scaling rates for the most intense hourly precipitation, whereas the land area surrounding the Mediterranean Sea shows the opposite behaviour with the largest increases projected for the most extreme hourly precipitation intensities. While our experimental setup only estimates the thermodynamic response of extremes due to moisture increases, and neglects a number of large-scale feedbacks that may temper future increases in precipitation extremes, some of the sensitivities reported here reflect findings from observational trends. Therefore, our results can provide guidance within which to understand recent observed trends and for future climate projections with CPRCMs.
Efficient learning of email similarities for customer support

One way to increase customer satisfaction is efficient and consistent customer email support. In this contribution we investigate the use of dimensionality reduction, metric learning and classification methods to predict answer templates that can be used by an employee or retrieve historic conversations with potential suitable answers given an email query. The strategies are tested on email data and the publicly available Reuters data. We conclude that prototype-based metric learning is fast to train and the parameters provide a compressed representation of the database enabling efficient content based retrieval. Furthermore, learning customer email embedings based on the similarity of employee answers is a promising direction for computer aided customer support.
Nuevos algoritmos para procesamiento de imágenes de speckle

Los objetos rugosos iluminados por luz láser muestran una apariencia granular llamada speckle [1-2]. Si la superficie no es rígida, el patrón de speckle también cambia y da cuenta de los procesos dinámicos que tienen lugar en la superficie o en el volumen de las muestras. En consecuencia, se han encontrado varias aplicaciones de este fenómeno en medicina, biología, ingeniería, agricultura, etc. [3]. Las técnicas de speckle utilizadas para estudiar diversas situaciones experimentales requieren diferentes algoritmos de acuerdo con los problemas a resolver. En general, los algoritmos utilizados son útiles para algunas situaciones, pero no pueden aplicarse a otras [4]. Por ejemplo, cuando intentamos describir patrones de speckle estáticos o dinámicos, es muy difícil encontrar un solo algoritmo para analizar ambas situaciones. En este artículo se presentan dos posibles soluciones al problema. En el primer caso se propone una simple generalización del concepto de dimensión fractal [5] en imágenes, considerando la curva obtenida como una función del umbral de binarización. Esta curva se puede utilizar para describir parcialmente imágenes ordinarias, texturas, patrones de speckle estáticos y dinámicos. En una segunda aproximación, se desarrolla un algoritmo generalizado para procesar imágenes de actividad de speckle, donde los algoritmos existentes resultan ser casos particulares. Esta propuesta se basa en un conjunto de descriptores sintonizables que utilizan una extensión de las operaciones de suma y resta con un parámetro libre que se puede elegir para optimizar los resultados. La mejor elección de la afinación se elige visualmente. Para ambos casos, se muestran ejemplos de aplicaciones en algunos casos de interés.
Performance Management Dynamics of Short-Term Employees in A Non-Profit Educational Organization: A Study of Indonesia Teaches Movement

Departing from their roots in private-sector organizations, studies on performance management have extended to non-profit sector. However, most research comes from Western and/ or developed countries with more emphasis on permanent employees. This study outlined the performance management system in Indonesia Teaches Movement (ITM), a non-profit educational organization in Indonesia. It explored how performance management was implemented to “young teachers”, graduates from highly ranked universities who were recruited to work as teachers in remote and impoverished areas in Indonesia for one year. Data were collected through performance management-related archival data and semi-structured interviews with six “young teachers” and three ITM officers. Thematic analysis indicated that performance management cycle had been adopted by the organization despite a short tenure of the job. Results also revealed the roles of organizational vision and culture in harnessing performance and the strength of outcome mapping as strategic tools closely aligned with performance management. Ultimately, this study confirms that Performance Management is a dynamic and adaptive system that can be applied to non-profit organizations, particularly to non-permanent jobs with unconventional work arrangements.
Immigrant Entrepreneurs and Potentials for Path Creating Tourism Development in Rural Sweden

ABSTRACT This paper investigates the potential of immigrant tourism entrepreneurs to contribute to tourism development and to the goals of regional tourism policy through the creation of new paths of development. Based on qualitative interviews in the county of Gävleborg in Sweden, the paper contributes to understanding the role of immigrant entrepreneurs in the context of public tourism development efforts in a rural region characterized by primary resource based and manufacturing industries. The findings suggest that the strategies and agencies of several immigrant entrepreneurs are in line with the public regional development efforts to achieve new touristic products, growth of foreign visitor numbers and increased co-operation among tourism stakeholders. The paper also highlights the barriers faced by the immigrant entrepreneurs and regional tourism development actors in their efforts to increase professionalization and co-operation among local stakeholders. Finally, we argue that if the potential for immigrant tourism entrepreneurs to contribute with external networks and new knowledge for tourism development should be realised, public efforts to stimulate networking between tourism firms and with other business sectors need to be stable and long term.
Derivation of Euler's Formula and ζ(2 k ) Using the Nyquist-Shannon Sampling Theorem

There are multiply approaches to prove Euler's well-known formula, however, none of them is trivial or simple. In this paper we utilize Nyquist-Shannon sampling theorem to prove Euler's formula in particular and Riemann's in general in a straightforward approach. The presented method allows calculating the summation of several other similar series, such as , and even more surprising ones such as .
On proximal decomposition methods applied to power generation planning in an uncertain environment. (Sur les méthodes de décomposition proximale appliquées à la planification de production électrique en environnement incertain)

We focus in this thesis, on splitting methods which be applied to special optimization or inclusion problems considering its related inclusion problems with an appropriated Lagrangian map. In a general setting for solving a monotone inclusion problem and obtain splitting algorithms, we develop a generalized proximal point and construct a related map with similar contraction properties as the resolvent map. Our general setting includes popular splitting algorithms. Also, we show decomposition techniques in order to solve the multi-block version of our model problems, finding adequate formulations of the original problem and then apply a particular algorithm version of our general scheme. Finally, we apply the splitting method to a large-scale energy production planning problem.
Severely calcified lipidic atheroma on intravascular ultrasound and near-infrared spectroscopy imaging: its association with slow-flow phenomenon during percutaneous coronary intervention

Macroscopic calcified lesion has been generally considered to be stable atheroma. In our case with coronary artery disease and a prior myocardial infarction, intravascular ultrasound (IVUS) and near-infrared spectroscopy (NIRS) imaging before percutaneous coronary intervention (PCI) visualized a severely calcified atheroma containing lipidic materials. Following lesion dilatation with a scoring balloon, the slow-flow phenomenon with ST-segment elevation and chest pain occurred. This case suggests that calcified plaque is not necessarily stable lesion but infrequently high-risk one which requires adjunctive management to prevent the slow-flow phenomenon during the procedure.
Methanol and Silicon Monoxide Observations toward Bipolar Outflows Associated with Class 0 Objects

We report Swedish-ESO Submillimetre Telescope observations of seven bipolar outflows thought to be associated with Class 0 objects in the υ = 0J = 3 → 2 and J = 2 → 1 transitions of SiO and Jk = 3k → 2k and Jk = 2k → 1k transitions of CH3OH. Methanol and silicon monoxide emission from outflowing gas were detected toward the lobes of four objects (NGC 2264G, IRAS 16293-2422, Serpens S68N, and Serpens SMM 4). The SiO line profiles are characteristics of C-type bow shocks, showing a peak at a radial velocity close to but displaced from the ambient cloud velocity and a gradual decrease in intensity from the peak toward higher flow velocities. There is a significant correlation between the column density of SiO and the terminal SiO flow velocity, which suggests a velocity-selective enhancement in the production of SiO molecules. We find that the SiO abundance in the lobes is enhanced with respect to that of the ambient cloud by a factor of at least 330 in IRAS 16293-2422 and SMM 4, 170 in NGC 2264G, and 80 in S68N. The CH3OH abundance is enhanced by a factor of 500 in IRAS 16293-2422, 330 in SMM 4, 80 in S68N, and 23 in NGC 2264G. In addition, we find that the dependence of the SiO/CO and CH3OH/CO abundance ratios with radial flow velocity shows a steep increase in the range from ~0 to ~4-5 km s-1 and a gradual decline toward higher flow velocities. In the remaining three sources (CG 30, IRAS 13036-7644, and VLA 1623-243), emission in methanol was detected from a narrow line at the velocity of the ambient cloud, and no emission was detected in silicon monoxide. Weak methanol emission from a low-velocity outflow component was detected toward CG 30.
Arrhythmia Panel

The Blueprint Genetics Arrhythmia Panel is an efficient diagnostic tool for hereditary arrhythmia disorders. The Panel includes majority of reported ventricular arrhythmiaassociated genes. These genes code ion channel proteins defective in long QT syndromes (LQTS), short QT syndromes (SQTS), Brugada syndrome (BrS), and catecholaminergic polymorphic ventricular tachycardia (CPVT). Our panel also involves diagnostics for arrhythmogenic right ventricular cardiomyopathy (ARVC). These diseases carry a strong risk for sudden cardiac death. The Arrhythmia Panel is a powerful diagnostic solution whenever other clinical assessments have failed to narrow reliably the exact diagnosis. In addition to patient diagnostics, the Arrhythmia Panel has potential in forensic autopsies in cases where reason for sudden cardiac death is investigated.
Acute Hemiballismus as the Presenting Feature of Parietal Lobe Infarction

It is widely believed that hemiballismus and chorea are suggestive of a basal ganglia subthalamic nucleus lesion; however, this not a rule. We report the case of a 63-year-old male with complaints of slurred speech, increased movement of the left half of his body, and headache. He had diabetes, hypertension, and a past medical history of stroke with residual weakness over the right side of his body. The patient developed the sudden onset of irregular, large amplitude, increased involuntary movements of his left upper and lower limbs with a flinging pattern. His blood sugar and serum osmolality were normal. His magnetic resonance imaging (MRI) showed an acute right parietal lobe infarction. Patients can experience hemiballismus with lesions other than the subthalamic nucleus in the basal ganglia. This is contrary to the classic belief that hemiballismus is associated with, and only with, lesions in the subthalamic nucleus. This manuscript describes a case of hemiballismus occurring in a patient secondary to a parietal lobe infarction.