nils-herrmann/clean_scirepeval huggingface dataset:
Fast Visual Tracking of Mobile Agents
Year: 2011

Control and coordination of agents in multi agent systems is demanding and complex task. Applications like search and rescue Jennings et al. (1997) mapping of unknown environments or just simple moving in formation demands gathering a lot of information from surrounding. A local sensor based information is preferred in large formations due to observability constraints. On the other hand, local information processing requires sophisticated and expensive hardware that wouldmanage to gather and process sensor information in real time. Furthermore, refined sensors, such as a camera, entail time consuming algorithms. Generally, it is difficult to provide satisfactory results by implementation of such algorithms in real time. For this reason immense research efforts have been put in development of fast and simple image analysis methods. This is specifically noticeable in the field of robot vision, a discipline that strives to solve problems such as robot localization and tracking, formation control, obstacle avoidance, grasping and so on. Visual tracking of robots in formation is usually based on visual markers. Algorithms for detection of predefined shapes or colors are simple enough to be executed even on low cost embedded computers in real time. In Chiem Cervera (2004) pose estimation based on the tracking of color regions attached to the robot is presented. The position of the leader robot is estimated at video rate of 25 frames per second. The main disadvantage of the proposed method is marker position on the robot, i.e. a marker can be recognized only from particular angle. Authors in Cruz et al. (2007) accomplish robot identification and localization by using visual tags arranged on the back of each robot on a 3D truncated octagonal shaped structure. Each face of visual tag has a code that provides the vehicle's ID as well as the position of the face in the 3D visual marker. This information allows a vision sensor to identify the vehicle and estimate its pose relative to the sensor coordinate system. A robot formation control strategy based on visual pose estimation is presented in Renaud et al. (2004) Robots visual perception is enhanced by the control of a motorized zoom, which gives the follower robot a large field of view and improves leader detection. A position based visual servo control strategy for leader follower formation control of unmanned ground vehicles is proposed in Dani et al. (2009) The relative pose and the relative velocity are obtained using a geometric pose estimation technique and a nonlinear velocity estimation strategy. The geometric pose estimation technique Gans (2008)
Learning from Lacunae in Research: Making Sense of Teachers' Labor Activism
Year: 2020

How does educational research inform understanding of the current labor activism among U.S. teachers and illuminate teachers' capacity when they are organized as workers to challenge neoliberal educational policies? To address these questions we examine critical research on teachers' work and teachers unions from 2000 2019, scrutinizing knowledge production about teachers' work and the role of teachers unions in contesting and conceding to reform, and analyzing how ideological assumptions about capitalism, labor, race, class, and gender configure the amount and nature of scholarship on teachers unions. We explain why scholarship on school reform should include attention to teacher unionism, re conceptualizing tensions between what are understood as "social justice" struggles and defense of teachers' professional interests, livelihoods, and working conditions.
Existential learning: dialogues and places to be(come) in entrepreneurial Ba practice
Venue: Journal of Innovation and Entrepreneurship
Year: 2019

This paper understands entrepreneurship by viewing it from the perspective of process (Van de Ven and Poole, The Academy of Management Review 20:510 540, 1995; Tsoukas and Chia, Organization Science 13:568 582, 2002; Hernes, A Process Theory of Organizing, 2014) and it contributes to the demand for process studies within the field of entrepreneurship (Hjorth et al. International Small Business Journal 33:599 611, 2015) by focusing on four entrepreneurs in situ dialogues and in places to become in entrepreneurial practice. The paper examines how entrepreneurs' existence and learning unfold from their dialogues in Ba. Emphasis is given to the emergent and relational processes through which learning and being might unfold and through which future entrepreneurial opportunities may be realised. In order to develop a theoretical register with which to articulate the dialogues and places to be(come) in entrepreneurial practice, we advance a dialogic conception of Ba based upon Nishida (Fundamental Problems of Philosophy, 1970) Nonaka (1998) and Bakhtin's (The Bakhtin Reader. Selected Writings of Bakhtin, Medvedev, Voloshinov, 1984) relational or shared perspectives. We suggest that the notions of dialogues and places to be(come) act as central drivers and conditions for meaning around which diverse entrepreneurs coalesce. Further, we argue that the dialogical and shared potential inherent in a temporary shared Ba or world might generate a more creative and sustainable outcome to the entrepreneurial challenges of their life projects. This paper claims the acknowledgement of the dialogue as a manifest phenomenon itself, seen through other lenses than just those of interaction, inter subjectivity and learning. Further, the paper recommends a sharper understanding of the social aspects of situated learning. Finally, the paper shows the need for more facilitation and training programmes for post start up entrepreneurs, highlighting the need for educators, entrepreneurial trainers, and others working in supportive functions to have a fuller understanding of what we might call lifelong learning processes situated in temporary Ba's such as the small group learning method.
Climate Change and Human Rights: Fragmentation, Interplay and Institutional Linkages
Year: 2017

The relationship between the climate change and human rights regimes has been the subject of much scholarly debate. The Paris Agreement and work carried out under the auspices of the Human Right Council have shed new light on states' understanding of the interplay between these two bodies of law. This chapter analyses these recent developments, placing them in the context of the scholarly debate on the fragmentation of international law, analysing means to avoid conflicts and exploit synergies between the climate change and the human rights regimes.
Framework for Distributed Industrial Automation and Control (4DIAC)
Venue: 2008 6th IEEE International Conference on Industrial Informatics
Year: 2008

This paper intends to provide a basis for the discussion and development of an Open Source Initiative for a ldquoFramework for distributed industrial automation and control (4DIAC) based on the new IEC 61499 standard. The general understanding of the authors is that an open source strategy is an adequate means for pushing current developments within the industrial automation domain and bringing together interested partners to focus and unite their concerns on a distributed and flexible automation environment. One main point is also to provide a stable basis for industrial appliances and further research into next generation distributed automation and control systems based on the IEC 61499 standard. A look at the current status of the developments for IEC 61499 shows, that these targets may not have been attained. In the opinion of the authors, the targets presented above need a common and publicly available reference framework. Therefore the general idea of the 4DIAC initiative is to provide such an open framework for the IEC 61499 standard that gives the opportunity to establish an automation and control environment based on the three main targets, portability, configurability and interoperability.
Dong phuong Bac co Hoc vien trong thoi ky 9/1945 12/1946 qua cac van ban
Year: 2009

Bai viet cung cap nhung thong tin co lien quan den co cau quan ly dieu hanh va thuc tien hoat dong cua Dong phuong Bac co Hoc vien trong giai doan tu thang 9 nam 1945 den thang 12 nam 1946, trong do co noi dung cac sac lenh va nghi dinh cua Chinh phu ve viec thanh lap Hoi dong co van tai Hoc vien, an dinh nhiem vu cua Dong phuong Bac co Hoc vien va tro cap kinh phi hoat dong cho Hoc vien.
Efficient Multi Granularity Network based on Local Context aware Correlation Feature for Person Re Identification
Venue: 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)
Year: 2021

The joint learning strategy of the global and local feature can further improve discriminative ability in complex realistic scenarios. The adjacent horizontal stripes regions of local features have the strong correlation characteristics. Considering the structure characteristics of human body, in this paper we design the Multi Granularity Network based on Local Contextaware Correlation Feature (MGN_CACF) based on ResNet50 IBN a backbone, which is split into four branches including a Top DropBlock branch, a global feature branch and two local feature branches. Experimental results shown that our proposed algorithm can achieve significant performance improvement, such as for Market 1501 and CUHK03 datasets Rank l/mAP 95.7%/88.5% and Rank l/mAP=78.0%/73.8% respectively.
Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors
Venue: Genome Biology
Year: 2006

BackgroundAlthough numerous mouse models of breast carcinomas have been developed, we do not know the extent to which any faithfully represent clinically significant human phenotypes. To address this need, we characterized mammary tumor gene expression profiles from 13 different murine models using DNA microarrays and compared the resulting data to those from human breast tumors.ResultsUnsupervised hierarchical clustering analysis showed that six models (TgWAP Myc, TgMMTV Neu, TgMMTV PyMT, TgWAP Int3, TgWAP Tag, and TgC3(1) Tag) yielded tumors with distinctive and homogeneous expression patterns within each strain. However, in each of four other models (TgWAP T121, TgMMTV Wnt1, Brca1Co/Co;TgMMTV Cre;p53+ and DMBA induced) tumors with a variety of histologies and expression profiles developed. In many models, similarities to human breast tumors were recognized, including proliferation and human breast tumor subtype signatures. Significantly, tumors of several models displayed characteristics of human basal like breast tumors, including two models with induced Brca1 deficiencies. Tumors of other murine models shared features and trended towards significance of gene enrichment with human luminal tumors; however, these murine tumors lacked expression of estrogen receptor (ER) and ER regulated genes. TgMMTV Neu tumors did not have a significant gene overlap with the human HER2+/ER subtype and were more similar to human luminal tumors.ConclusionMany of the defining characteristics of human subtypes were conserved among the mouse models. Although no single mouse model recapitulated all the expression features of a given human subtype, these shared expression features provide a common framework for an improved integration of murine mammary tumor models with human breast tumors.
TINJAUAN MANAJEMEN RISIKO TERKAIT DENGAN ERGONOMI RUANG KERJA URUSAN PENGAMBILAN DANPENYIMPANAN BERKAS REKAM MEDIS DI RUMAH SAKIT TK. II 04.05.01 DR. SOEDJONO MAGELANG
Year: 2018

Latar Belakang:Rumah sakit merupakan salah satu fasilitas pelayanan kesehatan yang memiliki peran yang sangat strategis dalam berupaya mempercepat peningkatan derajat kesehatan masyarakat Indonesia. Ergonomi ruang kerja adalah ilmu yang mempelajari interaksi kompleks antara aspek pekerjaan yang meliputi peralatan kerja, tatacara kerja, proses atau sistem kerja dan lingkungan kerja dengan kondisi fisik, fisiologis dan psikis manusia karyawan untuk menyesuaikan aspek pekerjaan dengan kondisi karyawan dapat bekerja dengan aman, nyaman efisien dan lebih produktif. dalam ruang penyimpanan dokumen rekam medis yaitu suhu, luas ruangan pengambilan dan penyimpanan, jarak aman, pencahayaan, debu, vector penyakit. lingkungan kerja merupakan tempat bekerja seseorang dalam melaksanakan segala aktivitasnya. Mengetahui manajemen risiko terkait dengan ruang kerja pengambilan dan penyimpanam berkas rekam medis, Mengetahui faktor risiko dan pengendalian risiko terkait dengan ruang kerja pengambilan dan penyimpanam berkas rekam medis, Mengetahui ergononi ruang kerja urusan pengambilan dan penyimpanan berkas rekam medis. Metode: Jenis penelitian ini menggunakan jenis Penelitian Deskriptif dengan pendekatan kualitatif. Rancangan penelitian ini menggunakan pendekatan Cross Section. terdiri dari 7 petugas pengambilan dan penyimpanan dan 2 petugas K3 rumah sakit sebagai responden. Objek penelitian ini adalah mengenai Ruang Kerja Urusan Pengambilan dan Penyimpanan Berkas Rekam Medis. Hasil: Didapatkan jendela masih menggunakan jendela kayu yang terbuka, pada bagian rak penyimpanan masih terkena paparan cahayanya matahari secara langsung. Sedangkan untuk suhu penyimpanan di ruangan mencapai 28*C ruang penyimpanan dan pengambilan masih menggunakan kipas angin biasa sehingga sirkulasi udara kurang baik.
On the effectiveness of facial expression recognition for evaluation of urban sound perception.
Venue: The Science of the total environment
Year: 2019

Sound perception studies mostly depend on questionnaires with fixed indicators. Therefore, it is desirable to explore methods with dynamic outputs. The present study aims to explore the effects of sound perception in the urban environment on facial expressions using a software named FaceReader based on facial expression recognition (FER) The experiment involved three typical urban sound recordings, namely, traffic noise, natural sound, and community sound. A questionnaire on the evaluation of sound perception was also used, for comparison. The results show that, first, FER is an effective tool for sound perception research, since it is capable of detecting differences in participants' reactions to different sounds and how their facial expressions change over time in response to those sounds, with mean difference of valence between recordings from 0.019 to 0.059 (p 0.05or p 0.01) In a natural sound environment, for example, facial expression increased by 0.04 in the first 15 s and then went down steadily at 0.004 every 20 s. Second, the expression indices, namely, happy, sad, and surprised, change significantly under the effect of sound perception. In the traffic sound environment, for example, happy decreased by 0.012, sad increased by 0.032, and surprised decreased by 0.018. Furthermore, social characteristics such as distance from living place to natural environment (r 0.313) inclination to communicate (r 0.253) and preference for crowd (r 0.296) have effects on facial expression. Finally, the comparison of FER and questionnaire survey results showed that in the traffic noise recording, valence in the first 20 s best represents acoustic comfort and eventfulness; for natural sound, valence in the first 40 s best represents pleasantness; and for community sound, valence in the first 20 s of the recording best represents acoustic comfort, subjective loudness, and calmness.
A Survey on Opinion Mining: From Stance to Product Aspect
Venue: IEEE Access
Year: 2019

With the prevalence of social media and online forum, opinion mining, aiming at analyzing and discovering the latent opinion in user generated reviews on the Internet, has become a hot research topic. This survey focuses on two important subtasks in this field, stance detection and product aspect mining, both of which can be formalized as the problem of the triple \left \langle{ target, aspect, opinion \right \rangle extraction. In this paper, we first introduce the general framework of opinion mining and describe the evaluation metrics. Then, the methodologies for stance detection on different sources, such as online forum and social media are discussed. After that, approaches for product aspect mining are categorized into three main groups which are corpus level aspect extraction, corpus level aspect, and opinion mining, and document level aspect and opinion mining based on the processing units and tasks. And then we discuss the challenges and possible solutions. Finally, we summarize the evolving trend of the reviewed methodologies and conclude the survey.
Challenges in the implementation of dense wavelength division multiplexed (DWDM) optical interconnects using resonant silicon photonics
Venue: SPIE OPTO
Year: 2016

Small silicon photonics micro resonator modulators and filters hold the promise for multi terabit per second interconnects at energy consumptions well below 1 pJ/bit. To date, no products exist and little known commercial development is occurring using this technology. Why? In this talk, we review the many challenges that remain to be overcome in bringing this technology from the research labs to the field where they can overcome important commercial, industrial, and national security limitations of existing photonic technologies.
Guided KNOWLA: The Use of Guided Unscrambling to Enhance Active Online Learning
Venue: L@S
Year: 2019

Test yourself questions are effective examples of formative assessment, and have been shown to promote learners' active interaction with materials and knowledge mastery through frequent practice. However, the cost of developing and implementing engaging test yourself activities can be problematic in large scale web based learning environments; a lack of built in scaffolding to guide learners is also a challenge. We introduce Guided KNOWLA, an improvement of KNOWLA a learning tool has learners assemble a given set of mixed size scrambled fragments into a logical order using a web based interface, accompanied by motivational step by step hint/guidance as enhancements. We conducted an exploratory study with graduate learners to examine their attitudes toward Guided KNOWLA activities, measured by perceived usefulness and comparative formats for formative assessment. Preliminary results suggest that using the Guided KNOWLA were useful in helping learners master online materials and were a preferred format of "test yourself" practice to multiple choice questions.
Partial least squares structural equation modeling (PLS SEM) An emerging tool in business research
Year: 2014

The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM) highlight its advantages and limitations and provide an overview of recent research on the method across various fields.  In this review article, the authors merge literatures from the marketing, management, and management information systems fields to present the state of the art of PLS SEM research. Furthermore, the authors meta analyze recent review studies to shed light on popular reasons for PLS SEM usage.  SEM has experienced increasing dissemination in a variety of fields in recent years with nonnormal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS SEM's methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity.  While rese.
Intelligent signal processing routine for instantaneous heart rate detection using a Six Port microwave interferometer
Venue: 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
Year: 2015

Instantaneous heart rate detection is one of the key parameters in medical vital parameter monitoring. In medical centers e.g. real time monitoring of the vital signs of a patient under surveillance is necessary. Nowadays, the dominant technologies are electrocardiogram (ECG) or ballistocardiogram (BCG) but the required direct contact to the person under surveillance is a common drawback of these sensors. In this paper, a Six Port microwave interferometer is presented and used to detect the current heart rate of a person under test. An intelligent signal processing routing is proposed that avoids the fast Fourier transform (FFT) due to the implicated longsome observation window and operates directly in the time domain instead. A commercial ECG product is used to proof the reliability of the presented signal processing routine to establish Six Port microwave interferometers for instantaneous heart rate detection.
Stochastic optimization models for a bike sharing problem with transshipment
Venue: Eur. J. Oper. Res.
Year: 2019

We study the problem faced by a bike sharing service provider who needs to manage a fleet of bikes over a set of bike stations, each with given capacity and time varying stochastic demand. In particular, we focus on One way bike sharing systems with transshipment in which: (1) The user can pick up a bike at a station and drop it off at a different station; (2) Transshipment of bikes among stations is performed at the end of the day, to have the optimal number of bikes at each station at the beginning of the service on the next day. For this problem, we propose two stage and multistage stochastic optimization models, to determine the optimal number of bikes to assign to each station at the beginning of the service. Numerical results are provided for the bike sharing service "LaBiGi" in Bergamo (Italy) from which managerial insights are drawn.