Miracle-dz/UniFAR-FTUs huggingface dataset:
Has Strategic Management Research Lost Its Way?

Strategic management research has strayed from its primary focus on efficient and effective management practice. We suggest a refocusing of strategic management research, based on the logic of discovery of real-world phenomena and strategic problems, with the goals of better enabling scholars to refine existing and develop new management theories. We demonstrate that historically, such a pragmatic, engaged, and problem-focused process helped produce many of the seminal works, groundbreaking concepts, and core theories in the strategic management field. We express our concern that many scholars are no longer developing or practicing sufficient skills to generate such impactful research. We propose that re-adopting this logic of discovery within the knowledge production process of engaged scholarship can produce both scientifically rigorous and practically relevant research. Such a research approach both develops new theoretical contributions and bridges the theory-practice gap by addressing real-world problems (and thereby creating economic value). We discuss some of the existing impediments to doing so and suggest changes in incentive systems ∗We thank Guatam Ahuja, Richard Bettis, Seth Carnahan, Lillian Cheng, Felipe Csaszer, Don Hambrick, Bruce Kogut, Michael Leiblein, James Mahoney, Cathy Maritan, Will Mitchell, Arvind Parkhe, Olga Petricevic, Jeff Reuer, David Teece, Alain Verbeke, and Sidney Winter for their thoughtful comments on earlier drafts of the paper. We also thank those who provided comments at our presentation at the 2016 annual Academy of Management meeting, and at subsequent seminars at Temple University, the University of Calgary, and the University of Michigan. Finally, we thank Strategic Management Review for the editors’ and reviewer’s helpful comments and suggestions for improving this manuscript through the review process. The usual disclaimer applies. ISSN 2688-2612; DOI 10.1561/111.00000004 © 2020 now Publishers, Inc.
Global atmospheric change and human health

On November 6-7, 1989, the National Institute of Environmental Health Sciences (NIEHS) held a Conference on Global Atmospheric Change and Human Health. Since this conference, presented papers have been transformed and revised as articles that address several potential impacts on human health of global warming. Coming when it did, this was a very important conference. At the present time, there is still much uncertainty about whether or not global warming is occurring and, if it is, what effect it will have no human health. All the participants in this conference recognized this uncertainty and addressed potential impacts on human health if surface temperatures continue to rise and greater amounts of shorter wavelength ultraviolet (UV) radiation continue to reach the earth's surface as a result of depletion of the ozone layer. Because global warming and ozone depletion will occur over many decades, adverse impacts on human health and the environment may not be reversible. In short, we are in the midst of a huge geophysical experiment with global climate, and we will not know what the outcome will be for many years.
A comparative study of multi-agent control approaches for optimization of central cooling systems without significant storage

This paper presents the application of a multi-agent control methodology to large chiller plants. The approach, originally conceived to automate controller design and reduce engineering costs in building energy systems, consisted of a multi-agent simulation framework with distributed consensus-based optimization algorithms. To adapt the approach to this scenario, agents representing physical components of a cooling plant were developed and incorporated in the framework along with two alternative optimization methods: centralized, parallel optimization with a genetic algorithm (GA), and a combination of the GA with a quasi-newton method to handle non-linear equality constraints associated to physical component behavior. An existing cooling plant was utilized as case study to simulate the performance of the methods under different operating conditions. The results demonstrated the difficulty of the consensus-based algorithms to find optimal solutions. The GAs, on the other hand, showed that significant energy savings can be achieved through the implementation of multi-agent control with algorithms capable of handling non-convex objective functions and a combination of discrete and continuous variables, which are characteristic of central cooling systems.
Chronic obstructive pulmonary disease exacerbations and periodontitis: a possible association

Background There is an increasing interest concerning the potential link between both chronic obstructive pulmonary disease (COPD) and chronic periodontitis; therefore the association became the research focus. Objective This study intended to evaluate the potential association between the frequency of COPD exacerbations and chronic periodontitis. Patients and methods A total of 250 male patients with COPD were included in the study and were categorized into two groups according to the frequency of exacerbations per year: group 1 had patients with frequent exacerbations (having ≥2 exacerbations in last year) and group 2 had patients with infrequent exacerbations (having <2 exacerbations in last year). They were compared regarding age, smoking history, education background, information of their oral hygiene behaviors, calculated modified Medical Research Council dyspnea scale, calculated COPD assessment test, the number of exacerbations and hospitalizations in the past year, prebronchodilator and postbronchodilator spirometry, calculated plaque index, bleeding index, probing pocket depth, clinical attachment level, and measured high-sensitivity C-reactive protein. Correlations between variables were examined. Logistic regression test was performed to explore the concurrent influences of periodontal health variables on the frequency of exacerbations. Results This study evidenced that all periodontal health variables were significantly correlated with smoking status, modified Medical Research Council dyspnea scale, COPD assessment test, number of exacerbations and hospitalizations per year, and C-reactive protein level. Simplified oral hygiene index, plaque index, bleeding index, gingival index, probing pocket depth, and clinical attachment level were significantly correlated with most of the spirometry data. Conclusion Periodontal health variables were considerably associated with the frequency of COPD exacerbations.
Two-Stage Limited Feedback Hybrid Precoding in Multiuser MIMO Systems

Accurate channel state information (CSI) is essential at the base station (BS) in order to serve multiple users simultaneously on the same time-frequency resources. Explicit low-rate CSI feedback from each user terminal to the BS is indispensable in frequency-division duplexing (FDD) multipleinput multiple-output (MIMO) hybrid precoding systems. In the presence of correlated Rician fading channels with arbitrary rank, and in order to reduce the feedback overhead, a unified adaptive statistical codebook is designed by leveraging the long-term first and second order channel statistics. Moreover, as the feedback overhead scales linearly with the number of BS antennas, which introduces a bottleneck in FDD massive MIMO systems, an adaptive two-stage reduced dimensionality codebook design is developed. The main idea stems from the fact that the high dimensional analog beamforming stage could get away with coarse CSI, e.g., statistical CSI, while the low dimensional baseband precoding stage acquires finite-rate quantized CSI of the reduced dimensionality channel to eliminate multiuser interference. These steps reduce significantly the CSI training and feedback overhead to scale linearly with the number of radio-frequency chains instead. For comparison purposes, the two extremes of full and statistical CSI at the BS are also included. The performance gap between these two extremes justifies the importance of the proposed two-stage reduced dimensionality adaptive statistical codebook.
Percutaneous coronary intervention in left main disease: 10-year follow-up.

Significant left main coronary artery (LMCA) disease is found in 4.8% of patients undergoing coronary angiography (1). Historically, coronary artery bypass graft (CABG) has been the mainstay of revascularization strategy for LMCA disease (2). However, with the advances in PCI techniques and devices as well as adjunctive pharmacotherapy, PCI certainty has expanded its role in left main revascularization over the past decade (3).
Towards automatic context-aware summarization of code entities

Software developers are working with different methods and classes and in order to understand those that perplex them and–or that are part of their tasks, they need to tackle with a huge amount of information. Therefore, providing developers with high-quality summaries of code entities can help them during their maintenance and evolution tasks. To provide useful information about the purpose of code entities, informal documentation (Stack Overflow) has been shown to be an important source of information that can be leveraged. In this study, we investigate bug reports as a type of informal documentation and we apply machine learning to produce summaries of code entities (methods and classes) in bug reports. In the proposed approach, code entities are extracted using a technique in a form of an island parser that we implemented to identify code in bug reports. Additionally, we applied machine learning to select a set of useful sentences that will be part of the code entities’ summaries. We have used logistic regression as our machine learning technique to rank sentences based on their importance. To this aim, a corpus of sentences is built based on the occurrence of code entities in the sentences belonging to bug reports containing the code entities in question. In the last step, summaries have been evaluated using surveys to estimate the quality of produced summaries. The results show that the automatically produced summaries can reduce time and effort to understand the usage of code entities. Specifically, the majority of participants found summaries extremely helpful to decrease the understanding time (43.5%) and the effort to understand the code entities (39.1%). In the future, summaries can be produced by using other informal documentation such as mailing lists or stack overflow, etc. Additionally, the approach can be applied in practical settings. Consequently, it can be used within an IDE such as Eclipse to assist developers during their software maintenance and evolution tasks.
The Handle System

The Handle System is a general-purpose distributed information system used to assign, manage, and resolve persistent identifiers, known as "handles", for digital objects and other resources on the Internet. Some applications of this are in content, and others in a variety of identity management applications. The Corporation for National Research Initiatives manages this through its Handle System Advisory Committee (composed of external interested parties).
Back to the Past: When Segmentation Is More Efficient Than Paging

Virtual Memory was devised in a time of scarce resources. In the coming decade we expect to see physical memory systems populated with 264 bytes of RAM, a fraction of which may be non-volatile. Demand paging is inefficient in such large memories because space (Page Tables) and time (Page Table walks) overheads are too high. We collected execution traces from six applications and characterized their virtual memory behavior with respect to miss rates in references to Translation Buffers (TLBs) and Segment Buffers (SBs). Our measurements indicate that the miss rates for SBs are 2-3 orders of magnitude smaller than for TLBs. In light of these results, we discuss some of the design implications of segmented systems and of SBs.
To Make Good Compression Wears with Moderate Pressure

Clothing pressure as an index of clothing comfort has been well studied. The pressure applied by clothing has advantages and disadvantages [1]. Compression wear has become popular for controlling body shape and for reducing swelling in daily life. Moderate pressure is needed to achieve a beautiful silhouette while excessive pressure has adverse effects [2]. According to Kikufuji et al. [3] menstrual cycles were significantly delayed by 14 days when participants wore a tight foundation layer of clothing compared with when they wore no foundation layer [3]. Meanwhile, Sugimoto reported an increase in urinary noradrenaline excretion when participants wore a girdle. It is possible that the pressure may cause the alternation of the autonomic nervous system [4]. It is therefore important to pay careful attention to the level, duration and frequency of pressure being applied to a particular body part [5]. Among body parts, the legs are most insensitive to pressure and commercial compression ware products that reduce swelling of the legs [6] are widely available [7]. Meanwhile the abdomen was sensitive for the clothing pressure compared with legs. The skin is not equally sensitive all over the body, because the mechanoreceptors are not equally dense all over the body [8]. Perhaps, the body surface of abdomen will have mechanoreceptors more than the legs. The abdomen is a body part requiring very careful attention for pressure. However, the abdomen becomes the body part where a good effect is provided if moderate pressure can be realized. When the abdomen was supported by moderate pressure, an example of body fat consumption (BFC) was described as follows. At first BFC by aerobic exercise was examined without clothing pressure as possible.
Pair Correlation Functions with Free-Form Boundaries for Distribution Inpainting and Decomposition

Pair Correlation Functions (PCF) have been recently spreading as a reliable representation for distributions, enabling the efficient synthesis of point-sets, vector textures and object placement from examples. In this work we introduce a triangulation-based local filtering method to extend PCF-based analysis to exemplars with free-form boundaries. This makes PCF applicable to new problems such as the inpainting of missing parts in an input distribution, or the decomposition of complex, non-homogeneous distributions into a set of coherent classes, in which each category of points can be studied together with their intra and inter-class correlations.
Quality Factors for Mobile Medical Apps

The increased use of mobile phones, smartphones, tablets, and connected wearable devices has fostered the development of mobile medical applications (apps) in the last few years. Mobile medical apps are developed to extend or replace some existing applications that run on a desktop or laptop computer, or on a remote server. If mobile apps are used, for example, to diagnose, mitigate, treat, cure, or prevent human diseases, patient safety is at potential risk if the apps do not function as intended. Therefore, such apps need to be cleared, approved, or otherwise regulated in order to protect public health. There are many papers that have been published about the quality attributes of mobile apps. Less is known about quality factors of mobile medical apps. In this paper we provide key definitions and examples of regulated mobile medical apps, and identify factors that influence the quality of mobile medical apps.
Evaluation of Wearable Optical Heart Rate Monitoring Sensors

Heart rate monitoring provides valuable information about an individual’s physiological condition. The information obtained from heart rate monitoring can be used for a wide range of purposes such as clinical diagnostics, assessment of the efficiency of training for sports and fitness, or of sleep quality and stress levels in wellbeing applications. Other useful parameters for describing a person’s fitness, such as maximal oxygen uptake and energy expenditure, can also be estimated using heart rate measurement. The traditional ‘gold standard’ for heart rate monitoring is the electrocardiograph, but nowadays there are a number of alternative methods too. Of these, optical sensors provide a relatively simple, lowcost and unobtrusive technology for monitoring heart rate and they are widely accepted by users. There are many factors affecting the measurement of optical signals that have an effect on the accuracy of heart rate estimation. However, there is a lack of standardized and unified methodology for comparing the accuracy of optical heart rate sensors to the ‘gold standard’ methods of measuring heart rate. The widespread use of optical sensors for different purposes has led to a pressing need for a common objective methodology for the evaluation of how accurate these sensors are. This thesis presents a methodology for the objective evaluation of optical heart-rate sensors. The methodology is applied in evaluation studies of four commercially available optical sensors. These evaluations were carried out during both controlled and non-controlled sporting and daily life activities. In addition, evaluation of beat detection accuracy was carried out in non-controlled sleep conditions. The accuracy of wrist-worn optical heart-rate sensors in estimating of maximal oxygen uptake during submaximal exercise and energy expenditure during maximal exercise using heart rate as input parameter were also evaluated. The accuracy of a semi-continuous heart rate estimation algorithm designed to reduce power consumption for long-term monitoring was also evaluated in various conditions. The main findings show that optical heart-rate sensors may be highly accurate during rhythmic sports activities, such as jogging, running, and cycling, including ramp-up running during maximal exercise testing. During non-rhythmic activities, such as intermittent hand movements, the sensors’ accuracy depends on where they are worn. During sleep and motionless conditions, the optical heart-rate sensors’ estimates for beat detection and inter-beat interval showed less than
Challenges of Developing a Mobile Game for Children with Down Syndrome to Test Gestural Interface

After a literature review published by Nascimento et. al. (2017), the research team noticed the lack of studies focused on game controllers’ accessibility during use by children with Down syndrome. In view of that, this research describes a mobile game development and its usability analyses, which were created to evaluate the accessibility of touchscreen gestural interfaces. The methodology was organized into three steps: bibliographic research and the definition of the project guidelines, the game development, and its evaluation. The guidelines used were based on a study made by Nascimento et. al. (2019) of the impairments that children can have, their game preferences found on Prena’s article (2014), games accessibility guidelines for people with intellectual deficiency from the Includification Book (2012), a manual of touchscreen gestural interfaces from Android and iOS and a game development framework from Schuytema (2008). Then, for the usability analyses, the team decided to first submit the game to a group of experts in order to make some improvements before submitting it to the audience. In this way, two evaluations were done, a heuristic test with usability specialists and a cognitive walkthrough with health professionals. The list of heuristics used on the tests was created by a mash up of the Breyer evaluation (2008) and the recommendations of the Able Games Association (2012) and the cognitive one followed the Preece, Sharp and Rogers (2007) recommendations. The results found reveal some challenges in the field and adjustments, mainly in the narrative, game goals and interface feedback, that should be addressed as soon as possible.
Development of a Ground-based Synthetic Aperture Radar System for Highly Repeatable Measurements

We introduce the development of a robust ground-based synthetic aperture radar (GB-SAR) system capable of obtaining highly accurate SAR images of surface targets repeatedly by dedicated efforts for accurate motion control and innovative system design for stable RF acquisition. A brief introduction of the GB-SAR system and some test images will be followed by the accuracy assessment of the system performance for the future radar-interferometric applications to natural or anthropogenic surface/sub-surface targets.
NOMA-Based Scalable Video Multicast in Mobile Networks With Statistical Channels

To cope with rapid growth of video services, we propose a non-orthogonal multiple access (NOMA) based scalable video multicast (NOMA-SVM) framework for mobile networks, by exploiting NOMA's specific potential in scalable video multicast transmission. We consider statistical channels, instead of channels with perfect estimation, in the proposed NOMA-SVM framework in order to capture the realistic channel behaviors. As quality of experience (QoE) is a better metric than throughput for video transmission, QoE-driven power allocation is performed among multiple video layers in the proposed NOMA-SVM framework, in which users can decode video with quality proportional to their channel conditions. Specifically, we formulate the power allocation problem with the goal to maximize the average QoE over all users while guaranteeing the basic services of these users. To solve such a non-convex discrete problem, an optimal algorithm is developed based on the hidden monotonicity of the problem. A suboptimal algorithm is also proposed with much lower complexity in order to meet the practical needs. Simulation results show that the proposed algorithms outperform existing orthogonal multiple access (OMA) and NOMA based algorithms under various multicast scenarios in terms of QoE.