LLukas22/scidocs huggingface dataset:
1 BID TOGETHER , BUY TOGETHER : ON THE EFFICACY OF GROUP-BUYING BUSINESS MODELS IN INTERNET-BASED SELLING

In recent years, the advent of electronic commerce has led to the creation of many new and interesting business models for Internet-based selling. In this paper, we will explore a variant of the typical dynamic pricing mechanism, in which buyers and sellers actively engage in the price discovery process, that emphasizes the power of group buying. Dynamic pricing approaches are used by many well known Internet-based firms, including firms that offer online auctions such as eBay and Amazon.com. A group-buying discount is a dynamic pricing mechanism that mimics the general approach of traditional “discount shopping clubs.” Group buying pricing mechanisms permit buyers to aggregate their purchasing power and obtain lower prices than they otherwise would be able to get individually. However, with the recent closing of Mercata.com, a leading group-buying Web site, and the change in strategic direction of another market leader, Mobshop.com, the future of group-buying discount business models in Internet-based selling is no longer clear. In this essay, we will: (1) introduce the innovations associated with group-buying business models in Internet-based selling; (2) characterize the operational aspects of dynamic pricing mechanisms for group-buying through a discussion of a series of mini-cases with different firms that are widely recognized as the innovators in this area; (3) assess the quality of their business models relative to other new business models for Internet-based selling; and (4) draw conclusions about their sustainability in light of competitive forces in the marketplace.
Automatic Single Document Text Summarization Using Key Concepts in Documents

Many previous research studies on extractive text summarization consider a subset of words in a document as keywords and use a sentence ranking function that ranks sentences based on their similarities with the list of extracted keywords. But the use of key concepts in automatic text summarization task has received less attention in literature on summarization. The proposed work uses key concepts identified from a document for creating a summary of the document. We view single-word or multi-word keyphrases of a document as the important concepts that a document elaborates on. Our work is based on the hypothesis that an extract is an elaboration of the important concepts to some permissible extent and it is controlled by the given summary length restriction. In other words, our method of text summarization chooses a subset of sentences from a document that maximizes the important concepts in the final summary. To allow diverse information in the summary, for each important concept, we select one sentence that is the best possible elaboration of the concept. Accordingly, the most important concept will contribute first to the summary, then to the second best concept, and so on. To prove the effectiveness of our proposed summarization method, we have compared it to some state-of-the art summarization systems and the results show that the proposed method outperforms the existing systems to which it is compared. Keywords—Automatic Text Summarization, Key Concepts, Keyphrase Extraction
Reinvigorating the software engineering curriculum with Jackson's methods and ideas

Because they are sound, original, and provide a needed critical perspective, Jackson's ideas and methods deserve to be incorporated into - and can invigorate - the software engineering curriculum.
Electricity Consumption in the Industrial Sector of Jordan: Application of Multivariate Linear Regression and Adaptive Neuro-Fuzzy Techniques

In this study two techniques, for modeling electricity consumption of the Jordanian industrial sector, are presented: (i) multivariate linear regression and (ii) neuro-fuzzy models. Electricity consumption is modeled as function of different variables such as number of establishments, number of employees, electricity tariff, prevailing fuel prices, production outputs, capacity utilizations, and structural effects. It was found that industrial production and capacity utilization are the most important variables that have significant effect on future electrical power demand. The results showed that both the multivariate linear regression and neuro-fuzzy models are generally comparable and can be used adequately to simulate industrial electricity consumption. However, comparison that is based on the square root average squared error of data suggests that the neuro-fuzzy model performs slightly better for future prediction of electricity consumption than the multivariate linear regression model. Such results are in full agreement with similar work, using different methods, for other countries.
I saw this and thought of you: some social uses of camera phones

This paper presents aspects of a study into how and why people use camera phones. The study examined people's intentions at the time of image capture and subsequent patterns of use. Motivated by current interest in "picture messaging", we focus on images taken to communicate with absent people and look at how they were actually used. We consider the timeliness of communication and the role of common ground to derive implications for design.
Comparative physiologic effects of noninvasive assist-control and pressure support ventilation in acute hypercapnic respiratory failure.

STUDY OBJECTIVE
To compare the effects of noninvasive assist-control ventilation (ACV) and pressure support ventilation (PSV) by nasal mask on respiratory physiologic parameters and comfort in acute hypercapnic respiratory failure (AHRF).


DESIGN
A prospective randomized study.


SETTING
A medical ICU.


PATIENTS AND INTERVENTIONS
Fifteen patients with COPD and AHRF were consecutively and randomly assigned to two noninvasive ventilation (NIV) sequences with ACV and PSV mode, spontaneous breathing (SB) via nasal mask being used as control. ACV and PSV settings were always subsequently adjusted according to patient's tolerance and air leaks. Fraction of inspired oxygen did not change between the sequences.


MEASUREMENTS AND RESULTS
ACV and PSV mode strongly decreased the inspiratory effort in comparison with SB. The total inspiratory work of breathing (WOBinsp) expressed as WOBinsp/tidal volume (VT) and WOBinsp/respiratory rate (RR), the pressure time product (PTP), and esophageal pressure variations (deltaPes) were the most discriminant parameters (p<0.001). ACV most reduced WOBinsp/VT (p<0.05), deltaPes (p<0.05), and PTP (0.01) compared with PSV mode. The surface diaphragmatic electromyogram activity was also decreased >32% as compared with control values (p<0.01), with no difference between the two modes. Simultaneously, NIV significantly improved breathing pattern (p<0.01) with no difference between ACV and PSV for VT, RR, minute ventilation, and total cycle duration. As compared to SB, respiratory acidosis was similarly improved by both modes. The respiratory comfort assessed by visual analog scale was less with ACV (57.23+/-30.12 mm) than with SB (75.15+/-18.25 mm) (p<0.05) and PSV mode (81.62+/-25.2 mm) (p<0.01) in our patients.


CONCLUSIONS
During NIV for AHRF using settings adapted to patient's clinical tolerance and mask air leaks, both ACV and PSV mode provide respiratory muscle rest and similarly improve breathing pattern and gas exchange. However, these physiologic effects are achieved with a lower inspiratory workload but at the expense of a higher respiratory discomfort with ACV than with PSV mode.
Deep Reinforcement Learning Using Neurophysiological Signatures of Interest

We present a study where human neurophysiological signals are used as implicit feedback to alter the behavior of a deep learning based autonomous driving agent in a simulated virtual environment.
Behavioral Factors in Mutual Fund Flows

Using a sample of daily net flows to nearly 1,000 U.S. mutual funds over a year and a half period, we identify a set of systematic factors that explain a significant amount of the variation in flows. This suggests the existence of a common component to mutual fund investor behavior and indicates which asset classes may be regarded as economic substitutes by the participants in the market for mutual fund shares. We find that flows into equity funds -both domestic and international -are negatively correlated to flows to money market funds and precious metals funds. This suggests that investor rebalancing between cash and equity explains a significant amount of trade in mutual fund shares. The negative correlation of equities to metals suggests that this timing is not simply due to liquidity concerns, but rather to sentiment about the equity premium. We address the question of whether behavioral factors spread returns by using the mutual fund flow factors as pre-specified regressors in a Fama-MacBeth asset pricing framework. We find that the factors derived from flows alone explain as much as 45% of the cross-sectional variation in mutual fund returns. The fund flow factors provide significant incremental explanatory power in the cross-sectional regressions on daily returns. We consider a number of alternatives to explain our evidence including causality from returns to flows and vice-versa. Our evidence is consistent with the existence of a pervasive investor sentiment variable. Acknowledgements: We thank Mark Grinblatt and Jeff Wurgler for helpful comments. We thank Trimtabs for providing data for analysis. For a current draft, please contact William Goetzmann at william.goetzmann@yale.edu.
Block training periodization in alpine skiing: effects of 11-day HIT on VO2max and performance

Attempting to achieve the high diversity of training goals in modern competitive alpine skiing simultaneously can be difficult and may lead to compromised overall adaptation. Therefore, we investigated the effect of block training periodization on maximal oxygen consumption (VO2max) and parameters of exercise performance in elite junior alpine skiers. Six female and 15 male athletes were assigned to high-intensity interval (IT, N = 13) or control training groups (CT, N = 8). IT performed 15 high-intensity aerobic interval (HIT) sessions in 11 days. Sessions were 4 × 4 min at 90–95% of maximal heart rate separated by 3-min recovery periods. CT continued their conventionally mixed training, containing endurance and strength sessions. Before and 7 days after training, subjects performed a ramp incremental test followed by a high-intensity time-to-exhaustion (tlim) test both on a cycle ergometer, a 90-s high-box jump test as well as countermovement (CMJ) and squat jumps (SJ) on a force plate. IT significantly improved relative VO2max by 6.0% (P < 0.01; male +7.5%, female +2.1%), relative peak power output by 5.5% (P < 0.01) and power output at ventilatory threshold 2 by 9.6% (P < 0.01). No changes occurred for these measures in CT. tlim remained unchanged in both groups. High-box jump performance was significantly improved in males of IT only (4.9%, P < 0.05). Jump peak power (CMJ −4.8%, SJ −4.1%; P < 0.01), but not height decreased in IT only. For competitive alpine skiers, block periodization of HIT offers a promising way to efficiently improve VO2max and performance. Compromised explosive jump performance might be associated with persisting muscle fatigue.
New Model for Cyber Crime Investigation Procedure

In this paper, we presented a new model for cyber crime investigation procedure which is as follows: readiness phase, consulting with profiler, cyber crime classification and investigation priority decision, damaged cyber crime scene investigation, analysis by crime profiler, suspects tracking, injurer cyber crime scene investigation, suspect summon, cyber crime logical reconstruction, writing report.
Communicating uncertainty can lead to less decision satisfaction: a necessary cost of involving patients in shared decision making?

BACKGROUND
Given the large number of interventions of uncertain effectiveness, research on communicating uncertainty is needed to examine its impact on patients' health decisions.


OBJECTIVE
To examine physicians' communication of uncertainty and its impact on patients' decisions and decision satisfaction.


DESIGN, SETTING, AND PARTICIPANTS
Participants included female patients seen in a breast health centre whose physicians were discussing a decision with them, with no clear 'best' choice based on outcome evidence.


MAIN VARIABLES
Decision communication was measured using the OPTION scale, a measure of the degree to which physicians involve patients in a decision-making process. One-to-two weeks after the discussion, patients reported their satisfaction with the decision-making process and their decision. Decisions were verified in medical charts with patient consent.


RESULTS
Seventy-five women agreed to participate (94% response rate). The mean translated score of the OPTION scale was 68.0 (SD 18.3), but only 33.2 (SD 19.1) for the uncertainty items. Among cancer patients, communicating uncertainty was negatively related to decision satisfaction (P < 0.002), and there was an interaction between patient involvement in decisions and communicating uncertainty in relation to patients' decision satisfaction (P < 0.03).


DISCUSSION
Communicating scientific uncertainty might lead to less decision satisfaction among women facing cancer treatment decisions; this could be a natural outcome of the decision making process. Involving patients in decisions might help them tolerate uncertainty.


CONCLUSION
Future studies should consider assessing other outcomes (e.g. knowledge, physician support) of the decision making process. There may be trade-offs between acknowledging uncertainty and immediate decision satisfaction.
Robust focus measure for low-contrast images

The problem of auto-focusing has been studied for long, but most techniques found in literature do not always work well for low-contrast images. In this paper, a robust focus measure based on the energy of the image is proposed. It performs equally well on ordinary and low-contrast images. In addition, it is computationally efficient.
Time-Domain Reconstruction Algorithms for FMCW-SAR

In this letter, we develop time-domain reconstruction algorithms for frequency-modulated continuous wave synthetic aperture radar (FMCW-SAR). The algorithms considered here are the time-domain correlation algorithm, and two versions of the backprojection algorithm: the standard one based on the start-stop approximation, and a modified version that takes into account the movement of the sensor during the transmission of the pulse. Numerical simulations illustrate the performance of the algorithms, showing that the start-stop approximation may not be valid for FMCW-SAR, whereas the modified backprojection algorithm works very well here.
Understanding the relationship between searchers' queries and information goals

We describe results from Web search log studies aimed at elucidating user behaviors associated with queries and destination URLs that appear with different frequencies. We note the diversity of information goals that searchers have and the differing ways that goals are specified. We examine rare and common information goals that are specified using rare or common queries. We identify several significant differences in user behavior depending on the rarity of the query and the destination URL. We find that searchers are more likely to be successful when the frequencies of the query and destination URL are similar. We also establish that the behavioral differences observed for queries and goals of varying rarity persist even after accounting for potential confounding variables, including query length, search engine ranking, session duration, and task difficulty. Finally, using an information-theoretic measure of search difficulty, we show that the benefits obtained by search and navigation actions depend on the frequency of the information goal.
Common changes in cerebral blood flow in patients with social phobia treated with citalopram or cognitive-behavioral therapy.

BACKGROUND
Neurofunctional changes underlying effective antianxiety treatments are incompletely characterized. This study explored the effects of citalopram and cognitive-behavioral therapy on regional cerebral blood flow (rCBF) in social phobia.


METHODS
By means of positron emission tomography with oxygen 15-labeled water, rCBF was assessed in 18 previously untreated patients with social phobia during an anxiogenic public speaking task. Patients were matched for sex, age, and phobia severity, based on social anxiety questionnaire data, and randomized to citalopram medication, cognitive-behavioral group therapy, or a waiting-list control group. Scans were repeated after 9 weeks of treatment or waiting time. Outcome was assessed by subjective and psychophysiological state anxiety measures and self-report questionnaires. Questions were readministered after 1 year.


RESULTS
Symptoms improved significantly and roughly equally with citalopram and cognitive-behavioral therapy, whereas the waiting-list group remained unchanged. Four patients in each treated group and 1 waiting-list patient were classified as responders. Within both treated groups, and in responders regardless of treatment approach, improvement was accompanied by a decreased rCBF-response to public speaking bilaterally in the amygdala, hippocampus, and the periamygdaloid, rhinal, and parahippocampal cortices. Between-group comparisons confirmed that rCBF in these regions decreased significantly more in treated groups than control subjects, and in responders than nonresponders, particularly in the right hemisphere. The degree of amygdalar-limbic attenuation was associated with clinical improvement a year later.


CONCLUSIONS
Common sites of action for citalopram and cognitive-behavioral treatment of social anxiety were observed in the amygdala, hippocampus, and neighboring cortical areas, ie, brain regions subserving bodily defense reactions to threat.
The safety of Mohs surgery: a prospective multicenter cohort study.

BACKGROUND
Complications associated with Mohs surgery have been evaluated by single-surgeon studies. While these studies provide evidence for the safety of the procedure, prospective, multicenter studies afford a higher level of clinical evidence and establish further the safety profile of Mohs surgery in the ambulatory setting.


OBJECTIVE
This study was designed to prospectively evaluate major and minor complications as well as postoperative pain associated with Mohs surgery.


METHODS
A multicenter prospective cohort study was conducted evaluating the rate of major and minor complications as well as postoperative pain associated with the treatment of skin cancer using Mohs surgery in 1550 patients with 1792 tumors. Follow-up was obtained in 1709 of the 1792 tumors treated (95.3%).


RESULTS
No major complications occurred during Mohs surgery or reconstruction. A total of 44 (2.6%) minor primary postoperative complications occurred during the study. On a scale from 0 to 10, the average peak postoperative pain level was 1.99.


LIMITATIONS
Limitations of the study include the variability of practice patterns across practice sites as well as the 4.7% of patients lost to follow-up.


CONCLUSION
Mohs surgery is performed with a high degree of safety and is well tolerated by patients.
Heart rate variability is associated with polymorphic variation in the choline transporter gene.

OBJECTIVE
The objective of this study was to determine whether interindividual variation in parasympathetic (cholinergic) and sympathetic (adrenergic) regulation of heart rate (as estimated by frequency components of heart rate variability [HRV]) may be accounted for, in part, by genetic variation in the choline transporter, a component of acetylcholine neurotransmission.


METHODS
Resting HRV estimates of high- (HF) and low-frequency (LF) power and LF/HF ratio were determined from electrocardiogram recordings collected continuously over 5 minutes in 413 white individuals of European ancestry (49% men; aged 30-54 years [mean, 44 years]). Subjects were genotyped for a single nucleotide polymorphism (SNP) located in the 3' untranslated region of the choline transporter gene (CHT1). Frequencies of the alternate CHT1 alleles, labeled G and T, were 76% and 24%.


RESULTS
Compared with GG homozygotes, participants having any T allele had greater HF power (p <.02), lower LF power (p <.02), and lower LF/HF ratios (p <.005). Relative to men, women had lower LF power (p <.001) and lower LF/HF ratios (p <.005).


CONCLUSIONS
These findings show that polymorphic variation in the CHT1 gene is associated significantly with interindividual variability in HRV indices related to parasympathetic (cholinergic) activity.
Range Non-linearities Correction in FMCW SAR

The limiting factor to the use of Frequency Modulated Continuous Wave (FMCW) technology with Synthetic Aperture Radar (SAR) techniques to produce lightweight, cost effective, low power consuming imaging sensors with high resolution, is the well known presence of non-linearities in the transmitted signal. This results in contrast and range resolution degradation, especially when the system use is intended for long range applications, as it is the case for SAR. The paper presents a novel processing solution, which completely solves the non- linearity problem. It corrects the non-linearity effects for the whole range profile at once, differently from the algorithms described in literature so far, which work only for very short range intervals. The proposed method operates directly on the deramped data and it is very computationally efficient.
The skeleton algorithm for self-collision avoidance of a humanoid manipulator

For use in unstructured domains, highly redundant multi-arm robotic systems need both deliberative and reactive control schemes, in order to safely interact with the environment. The problem of collisions is crucial. A robust reactive algorithm, named the "skeleton algorithm", is proposed for the real-time generation of self-collision avoidance motions, where only proprioceptive sensory data are needed. The algorithm is applied to the DLR humanoid manipulator Justin, and a joint-torque control is used, where the collision avoidance torques are summed to the desired torques corresponding to other tasks; experimental results are reported.