LLukas22/scidocs huggingface dataset:
Knowledge networks in new product development projects: A transactive memory perspective

Even though an individual’s knowledge network is known to contribute to the effectiveness and efficiency of his or her work in groups, the way that network building occurs has not been carefully investigated. In our study, activities of new product development teams were analyzed to determine the antecedents and consequences on the transactive memory systems, the moderating affect of task complexity was also considered. We examined 69 new product development projects and found that team stability, team member familiarity, and interpersonal trust had a positive impact on the transactive memory system and also had a positive influence on team learning, speed-to-market, and new product success. Further, we found that the impact of the transactive memory system on team learning, speed-to-market, and new product success was higher when there was a higher task complexity. Theoretical and managerial implications of the study findings are discussed. # 2005 Elsevier B.V. All rights reserved.
Early Experience in the Treatment of Intra-Cranial Aneurysms by Endovascular Flow Diversion: A Multicentre Prospective Study

INTRODUCTION
Flow diversion is a new approach to the endovascular treatment of intracranial aneurysms which uses a high density mesh stent to induce sac thrombosis. These devices have been designed for the treatment of complex shaped and large size aneurysms. So far published safety and efficacy data on this approach is sparse.


MATERIAL AND METHODS
Over 8 months, standardized clinical and angiographic data were collected on 70 patients treated with a flow diverter device (SILK flow diverter (SFD)) in 18 centres worldwide. Treatment and early follow up details were audited centrally. SFDs were deployed alone in 57 (81%) or with endosaccular coils in 10 (14%) aneurysms, which included: 44 (63%) saccular, 26 (37%) fusiform shapes and 18 (26%) small, 37 (53%) large, 15 (21%) giant sizes. Treatment outcome data up to 30 days were reported for all patients, with clinical (50 patients) and imaging (49 patients) follow up (median 119 days) data available.


RESULTS
Difficulties in SFD deployment were reported in 15 (21%) and parent artery thrombosis in 8 (11%) procedures. Procedural complications caused stroke in 1 and serious extracranial bleeding in 3 patients; 2 of whom developed fatal pneumonias. Delayed worsening of symptoms occurred in 5 patients (3 transient, 1 permanent neurological deficit, and 1 death) and fatal aneurysm bleeding in 1 patient. Overall permanent morbidity rates were 2 (4%) and mortality 4 (8%). Statistical analysis revealed no significant association between complications and variables related to treated aneurysm morphology or rupture status.


CONCLUSION
This series is the largest reporting outcome of the new treatment approach and provides data for future study design. Procedural difficulties in SFD deployment were frequent and anti-thrombosis prophylaxis appears to reduce the resulting clinical sequelae, but at the cost of morbidity due to extracranial bleeding. Delayed morbidity appears to be a consequence of the new approach and warrants care in selecting patients for treatment and future larger studies.
Facial feature detection using Haar classifiers

Viola and Jones [9] introduced a method to accurately and rapidly detect faces within an image. This technique can be adapted to accurately detect facial features. However, the area of the image being analyzed for a facial feature needs to be regionalized to the location with the highest probability of containing the feature. By regionalizing the detection area, false positives are eliminated and the speed of detection is increased due to the reduction of the area examined. INTRODUCTION The human face poses even more problems than other objects since the human face is a dynamic object that comes in many forms and colors [7]. However, facial detection and tracking provides many benefits. Facial recognition is not possible if the face is not isolated from the background. Human Computer Interaction (HCI) could greatly be improved by using emotion, pose, and gesture recognition, all of which require face and facial feature detection and tracking [2]. Although many different algorithms exist to perform face detection, each has its own weaknesses and strengths. Some use flesh tones, some use contours, and other are even more complex involving templates, neural networks, or filters. These algorithms suffer from the same problem; they are computationally expensive [2]. An image is only a collection of color and/or light intensity values. Analyzing these pixels for face detection is time consuming and difficult to accomplish because of the wide variations of shape and JCSC 21, 4 (April 2006) 128 Figure 1 Common Haar Features pigmentation within a human face. Pixels often require reanalysis for scaling and precision. Viola and Jones devised an algorithm, called Haar Classifiers, to rapidly detect any object, including human faces, using AdaBoost classifier cascades that are based on Haar-like features and not pixels [9]. HAAR CASCADE CLASSIFIERS The core basis for Haar classifier object detection is the Haar-like features. These features, rather than using the intensity values of a pixel, use the change in contrast values between adjacent rectangular groups of pixels. The contrast variances between the pixel groups are used to determine relative light and dark areas. Two or three adjacent groups with a relative contrast variance form a Haar-like feature. Haar-like features, as shown in Figure 1 are used to detect an image [8]. Haar features can easily be scaled by increasing or decreasing the size of the pixel group being examined. This allows features to be used to detect objects of various sizes. Integral Image The simple rectangular features of an image are c a l c u l a t e d u s i n g a n intermediate representation of an image, called the integral image [9]. The integral image is an array containing the sums of the pixels’ intensity values located directly to the left of a pixel and directly above the pixel at location (x, y) inclusive. So if A[x,y] is the original image and AI[x,y] is the integral image then the integral image is computed as shown in equation 1 and illustrated in Figure 2. (1) [ ] AI x y A x y x x y y , ( ' , ' ) ' , ' =
Drug-induced gynecomastia.

Drugs account for about 20% of gynecomastia cases in men. As a number of factors can alter the estrogen:androgen ratio, several pathophysiologic mechanisms are associated with drugs causing this disorder. Antiandrogens, protease inhibitors, and nucleoside reverse transcriptase inhibitors are the most common drug causes of gynecomastia, whereas first-generation antipsychotics, spironolactone, verapamil, and cimetidine are less common causes. Other drugs have been reported rarely as causes. Treatment may involve switching to an alternative agent or may require surgery or irradiation if the causative agent cannot be discontinued. We reviewed the literature on drug-induced gynecomastia and provided another perspective by reviewing data from the United States Food and Drug Administration's Adverse Event Reporting System. Epidemiologic studies are needed to provide a more accurate description of the frequency of drug-induced gynecomastia.
Parabolic-Antenna Design for Microwaves

This paper is intended to give fundamental relations and design criteria for parabolic radiators at microwave frequencies (i.e., wavelengths between 1 and 10 centimeters). The frst part of the paper discusses the properties of the parabola which make it useful as a directional antenna, and the relation of phase polarization and amplitude of primary illumination to the over-all radiation characteristics. In the second part, the characteristics of practical feed systems for parabolic antennas are discussed.
Action recognition based on overcomplete independent components analysis

Article history: Available online 8 January 2014
Corporate Performance, Corporate Takeovers, and Management Turnover

This paper examines the hypothesis that an important role of corporate takeovers is to discipline the top managers of poorly performing target firms. We document that the turnover rate for the top manager of target firms in tender offer-takeovers significantly increases following completion of the takeover and that prior to the takeover these firms were significantly under-performing other firms in their industry as well as other target firms which had no post-takeover change in the top executive. We interpret the results to indicate that the takeover market plays an important role in controlling the nonvalue maximizing hehavior of top corporate managers. ECONOMIC ANALYSIS IDENTIFIES TWO broad motives for value maximizing corporate takeovers. Eitber tbey are undertaken to acbieve synergies between tbe bidder and tbe target firms, or tbey are undertaken to discipline tbe target firm's managers. In synergistic takeovers, gains are generated by efficiencies tbat result from combining tbe pbysical operations of tbe bidder and tbe target firm. In disciplinary takeovers, gains can be acbieved witbout combining tbe pbysical operations of tbe two firms. Ratber, tbe gains are generated by altering tbe nonvalue maximizing operating strategies of tbe target firm's managers.^ Some observers give more weigbt to tbe importance of takeovers as a disciplinary mecbanism tban do otbers, but, regardless of tbe weigbt assigned to takeovers in performing tbis task, it is generally presumed tbat firms tbat are performing poorly are more likely to be tbe target of a disciplinary takeover tban are firms tbat are performing well.^ *Kenneth J. Martin is at the University of Iowa. Professor John J. McConnell is at the Krannert Graduate School of Management of Purdue University. We thank Michael Bradley and E. Han Kim for providing us with their tender offer database. Martin acknowledges financial support received from the Richard D. Irwin Foundation. We also thank Claudio Loderer for many helpful suggestions and comments and Steve Buser for his help in moving the paper toward completion. The paper has benefited from presentations at Boston College and Kansas University. 'Nonvalue maximizing behavior on the part of the target's managers can take a variety of forms. For example, it could include the excessive consumption of corporate perquisites, excessive compensation, overpayment for supplies and raw materials, or the deployment of corporate resources to self-enriching or self-aggrandizing projects. It could also be that the target's managers are simply ineffective at or incapable of operating the target firm efficiently. ^See, for example, Fama (1980), Manne (1965), and Morck, Shleifer and Vishny (1988) for discussions of the disciplinary role of corporate takeovers.
A randomized, controlled effectiveness trial of OROS-methylphenidate compared to usual care with immediate-release methylphenidate in attention deficit-hyperactivity disorder.

BACKGROUND
The thrice daily dosing regimen of immediate release methylphenidate (IR-MPH) for Attention Deficit/Hyperactivity Disorder (ADHD) requires in-school dosing, leading to issues surrounding dispensing and storage of controlled substances by school personnel and concerns over children?s privacy and the embarrassment associated with taking medication in public at school. OROS-methylphenidate (OROS-MPH) is a once-daily controlled-release formulation of methylphenidate (MPH) developed to overcome some of the limitations associated with IR-MPH and first-generation sustained-release formulations. Randomized, controlled trials (RCTs) that focus on treatment efficacy provide the best evidence for demonstrating whether an intervention works, but under ideal conditions one cannot discount the importance of efficacy study results. However, the most useful information to clinicians comes from an effectiveness study design.


OBJECTIVES
To evaluate the effectiveness and tolerability of OROS-MPH versus usual care with IR-MPH in children aged 6 to 12 years with ADHD.


METHODS
This 8 week, multicentre, open-label study randomized 147 subjects to either once-daily OROS-MPH or usual care with IR-MPH. Subjects were titrated to a clinically effective dose of either study medication over 4 weeks and maintained on that dose for an additional 4 weeks. The SNAP-IV parent-rating scale was used to assess effectiveness.


RESULTS
OROS-MPH showed statistically significant superiority to IR-MPH in remission rate based on the 18 ADHD symptoms (p=0.0002, X2=13.8, df=1) and severity of ADHD and ODD symptoms (p=0.004, F=8.4, df=1,127), as well as on the following secondary assessments: IOWA Conners, Conners Parent Rating Scale (short version), Parent Stress Index, (short version); Visual Analogue Scale for social play; Clinical Global Impression-Severity, Clinical Global Impression-Improvement and Parent Satisfaction with treatment. OROS-MPH and IR-MPH were both well tolerated with a similar side effect profile.


CONCLUSIONS
Once-daily OROS-MPH is significantly more effective than usual care with IR-MPH based on multiple outcome measures including remission rate.
The INTERSPEECH 2009 emotion challenge

The last decade has seen a substantial body of literature on the recognition of emotion from speech. However, in comparison to related speech processing tasks such as Automatic Speech and Speaker Recognition, practically no standardised corpora and test-conditions exist to compare performances under exactly the same conditions. Instead a multiplicity of evaluation strategies employed – such as cross-validation or percentage splits without proper instance definition – prevents exact reproducibility. Further, in order to face more realistic scenarios, the community is in desperate need of more spontaneous and less prototypical data. This INTERSPEECH 2009 Emotion Challenge aims at bridging such gaps between excellent research on human emotion recognition from speech and low compatibility of results. The FAU Aibo Emotion Corpus [1] serves as basis with clearly defined test and training partitions incorporating speaker independence and different room acoustics as needed in most reallife settings. This paper introduces the challenge, the corpus, the features, and benchmark results of two popular approaches towards emotion recognition from speech.
Resource Scheduling for Parallel Database and Scientific Applications

We initiate a study of resource scheduling problems in parallel database and scientific applications. Based on this study we formulate a problem. In our formulation, jobs specify their running times and amounts of a fixed number of other resources (like memory, IO) they need. The resourcetime trade-off may be fundamentally different for different resource types. The processor resource is malleable, meaning we can trade processors for time gracefully. Other resources may not be malleable. One way to model them is to assume no malleability: the entire requirement of those resources has to be reserved for a job to begin execution, and no smaller quantity is acceptable. The jobs also have precedences amongst them; in our applications, the precedence structure may be restricted to being a collection of trees or series-parallel graphs. Not much is known about considering precedence and non-malleable resource constraints together, For many other problems, it has been possible to find schedules whose length match to a constant factor the sum of two obvious lower bounds: the total resource-time product of jobs, denoted V, and the critical path in the precedence graph, denoted II. We show that there are instances when the optimal makespan is G?(V + II log 2’) in our model. Here T is the ratio between longest and shortest job execution times, where typically T << n, the number of jobs. We then give a polynomial time makespan algorithm that produces a schedule of length O(V + II log T), which is therefore an O (log T) approximation. This contrasts with most existing solutions for this problem, which are greedy, list-based strategies. These fail under heavy load and that is provably unavoidable since theoretical results have established various adversaries for them that force Q(T) or Q(n) approximations, The makespan algorithm can be extended to minimize the weighted average completion time over all the jobs to the same approximation factor of O(log T).
Effect of composite yogurt enriched with acacia fiber and Bifidobacterium lactis.

AIM
To investigate whether composite yogurt with acacia dietary fiber and Bifidobacterium lactis (B. lactis) has additive effects in irritable bowel syndrome (IBS).


METHODS
A total of 130 patients were randomly allocated to consume, twice daily for 8 wk, either the composite yogurt or the control product. The composite yogurt contained acacia dietary fiber and high-dose B. lactis together with two classic yogurt starter cultures. Patients were evaluated using the visual analog scale via a structured questionnaire administered at baseline and after treatment.


RESULTS
Improvements in bowel habit satisfaction and overall IBS symptoms from baseline were significantly higher in the test group than in the control group (27.16 vs 15.51, P = 0.010, 64.2 ± 17.0 vs 50.4 ± 20.5, P < 0.001; respectively). In constipation-predominant IBS, improvement in overall IBS symptoms was significantly higher in the test group than in the control group (72.4 ± 18.4 vs 50.0 ± 21.8, P < 0.001). In patients with diarrhea-predominant IBS, improvement in bowel habit satisfaction from baseline was significantly higher in the test group than in the control group (32.90 vs 7.81, P = 0.006).


CONCLUSION
Our data suggest that composite yogurt enriched with acacia fiber and B. lactis has greater therapeutic effects in patients with IBS than standard yogurt.
Anti-forensic resilient memory acquisition

Memory analysis has gained popularity in recent years proving to be an effective technique for uncovering malware in compromised computer systems. The process of memory acquisition presents unique evidentiary challenges since many acquisition techniques require code to be run on a potential compromised system, presenting an avenue for anti-forensic subversion. In this paper, we examine a number of simple anti-forensic techniques and test a representative sample of current commercial and free memory acquisition tools. We find that current tools are not resilient to very simple anti-forensic measures. We present a novel memory acquisition technique, based on direct page table manipulation and PCI hardware introspection, without relying on operating system facilities making it more difficult to subvert. We then evaluate this technique’s further vulnerability to subversion by considering more advanced anti-forensic attacks. a 2013 Johannes Stüttgen and Michael Cohen. Published by Elsevier Ltd. All rights
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

This paper presents a robotic pick-and-place system that is capable of grasping and recognizing both known and novel objects in cluttered environments. The key new feature of the system is that it handles a wide range of object categories without needing any task-specific training data for novel objects. To achieve this, it first uses a category-agnostic affordance prediction algorithm to select and execute among four different grasping primitive behaviors. It then recognizes picked objects with a cross-domain image classification framework that matches observed images to product images. Since product images are readily available for a wide range of objects (e.g., from the web), the system works out-of-the-box for novel objects without requiring any additional training data. Exhaustive experimental results demonstrate that our multi-affordance grasping achieves high success rates for a wide variety of objects in clutter, and our recognition algorithm achieves high accuracy for both known and novel grasped objects. The approach was part of the MIT-Princeton Team system that took 1st place in the stowing task at the 2017 Amazon Robotics Challenge. All code, datasets, and pre-trained models are available online at http://arc.cs.princeton.edu
Macroeconomic indicators and their impact on stock market performance in the short and long run: The case of the baltic states

The relation between macroeconomic variables and the movement of stock prices has well been documented in the literature over the last several decades. It is often argued that stock prices are determined by some fundamental macroeconomic variables. Therefore, macroeconomic variables can influence investment decisions and motivates many researchers to investigate the relation between stock market prices and macroeconomic variables. The current paper attempts to introduce the concepts of stock market and macroeconomic indicators, then to present a model of the impact of macroeconomic indicators on stock market index, and to define what macroeconomic indicators are related with stock market index in the short and long runs. The study investigates ten macroeconomic indicators and the main Baltic stock market indices. The data are monthly and extend from the January of 2000 to the December of 2008. Empirical research has been conducted with the Baltic States: Lithuania, Latvia, and Estonia. With the reference to the results of performed analysis the interpretations of the relationships between macroeconomic indicators and stock market index from the viewpoint of investors have been formed. keywords: macroeconomic indicators, stock market index, OMXV, OMXR, OMXT, Lithuania, Latvia, Estonia. reference to this paper should be made as follows: Pilinkus, D. 2010. Macroeconomic indicators and their impact on stock market performance in the short and long run: the case of the Baltic States, Technological and Economic Development of Economy 16(2): 291–304.
[Suicidal asphyxiation by propane-butane mixture inside a plastic bag: case report].

INTRODUCTION
Volatiles are easily accessible and widely used in a form of liquid petroleum gas. Death as a consequence of inhalation of volatiles can be either accidental or suicidal.


CASE OUTLINE
We present a 62-year-old men who committed suicide by placing a plastic bag over the head and inhaling propane-butane mixture from a domestic gas tank. A rubber hose was attached to the tank valve and connected with the plastic bag. The body of the deceased showed signs of advanced postmortal changes. A suicidal note was found at the scene.


CONCLUSION
Propane-butane mixture, i.e. liquified petroleum gas leads to the depletion of oxygen in the air consequently causing hypoxia and anoxia, and therefore, unconsciousness and eventual death. The mechanisms of death in cases of volatile inhalation include cardiac arrhythmias, reflex cardiac vagal inhibition, and/or central nervous system depression. Similar mechanisms occur in cases of asphyxiation with a plastic bag. The reconstruction of the event in this case was based, not so much on autopsy findings (because of significant putrefaction changes), but on the police investigation and traces found at the scene.
Alar Batten Grafts for Non-iatrogenic Nasal Valve Area/Alar Collapse

Objectives: We present our 3 years experience with alar batten grafts, using a modified technique, for non-iatrogenic nasal valve/alar