Miracle-dz/UniFAR-FTUs huggingface dataset:
Domain adaptation approach for classification of high resolution post-disaster data

Disaster image information mining is one of the crucial aspects in remote sensing applications. In a post disaster situation, to build learning model, new training samples are required, which are difficult to obtain. With the available pre-disaster data, the traditional algorithms cannot generalize well on the post-event situation for classification because, the data distributions are different. The proposed approach addresses this problem by domain adaptation to classify a post-disaster event by leveraging distribution changes. In this way it can augment the paucity in ground truth by using the prior information available to build the model.
Rethinking God as Gift: Marion, Derrida, and the Limits of Phenomenology

Rethinking God as Gift is situated at the intersection of philosophy, critical theory and theology. The first sustained study of the work of Jean-Luc Marion in English, it offers a unique perspective on contemporary questions and their theological relevance. Taking its point of departure from the problem of the gift as articulated by Jacques Derrida, who argues that the conditions of possibility of the gift are also its conditions of impossibility, Horner pursues a series of questions concerning the nature of thought, the viability of phenomenology, and, most urgently, the possibility of grace. For Marion, phenomenology, as the thought of the given, offers a path for philosophy to proceed without being implicated in metaphysics. His retrieval of several important insights of Edmund Husserl, along with his reading of Martin Heidegger and Emmanuel Lvinas, enables him to work out a phenomenology where even impossiblephenomena such as revelation and the gift might be examined. In this important confrontation between Marion and Derrida issues vital to the negotiation of postmodern concerns in philosophy and theology emerge with vigour. The careful elucidation of those issues in an interdisciplinary context, and the snapshot it provides of the state of contemporary debate, make Rethinking God as Gift an important contribution to theological and philosophical discussion.
Generation of qualitative descriptions of complex objects

Humans develop useful insights into the structure and behavior of physical systems by discovery of relations of dependence between major subsystems or between their descriptive variable. Commonly, the nature of these relations is approximate and qualitative rather than precise and quantitative. By constrast, the representation methods employed in modern data repositories-largely based on underlying measurement systems-stress precision and accuracy of detail. Furthermore, their reliance on techniques that facilitate computational manipulation rather than knowledge discovery makes those repositories ill suited for the purpose of system analysis and understanding. We present details of a program of research for the generation of qualitative descriptions of complex objects, such as large biological molecules, multidimensional time series, or statistical surveys. The production of these representations is the initial step toward augmenting the utility of data repositories by facilitating retrieval and discovery processes based on perceptual features that are closer to the experience of those seeking to understand the underlying systems. Our approach to the qualitative description of complex objects is illustrated by presentation of a genetic-algorithm based methodology for the identification of qualitative features that match approximately a collection of prototypical models of interesting features. We present also heuristics for the summarization and interrelation of discovered features, providing also results of the application of our methods to financial time series.
The hbrm and BRG‐1 proteins, components of the human SNF/SWI complex, are phosphorylated and excluded from the condensed chromosomes during mitosis.

In yeast, the SNF/SWI complex is believed to regulate transcription by locally altering the chromatin structure. At the present time, three human homologues of yeast SNF/SWI proteins have been characterized: hbrm and BRG‐1, homologues of SNF2/SWI2, and hSNF5, a homologue of SNF5. We show here that, during mitosis, hbrm and BRG‐1 are phosphorylated and excluded from the condensed chromosomes. In this phase of the cell cycle, the level of hbrm protein is also strongly reduced, whereas the level of BRG‐1 remains constant. The mitotic phosphorylation of hbrm and BRG‐1 is found not to disrupt the association of these proteins with hSNF5 but correlates with a decreased affinity for the nuclear structure in early M phase. We suggest that chromosomal exclusion of the human SNF/SWI complex at the G2‐M transition could be part of the mechanism leading to transcriptional arrest during mitosis.
Reconceptualising product life-cycle theory as stakeholder engagement with non-profit organisations

ABSTRACT The paper critically re-examines product life-cycle (PLC) theory, developed over 50 years ago. Despite prevalence in marketing pedagogy and continued popularity within empirical research, PLC is seldom challenged. The paper identifies the organisation-centric construct underpinning the theory and highlights a disconnection between PLC theory and the recent academic insight around customer engagement. It reconceptualises the life-cycle concept based on engagement between stakeholder and non-profit organisation (NPO), structured upon both the market orientation and social exchange constructs. The revised framework maps stakeholder engagement with the NPO through the five stages of incubation, interaction, involvement, immersion, and incapacitation. The paper concludes with identifying a roadmap for future empirical research to develop and validate the re-envisaged conceptual model. The methodology used is narrative literature review supported by secondary research from specialist practitioner reports.
Occupational and health safety on cruise ships: dimensions of injuries among crew members

ABSTRACT Work-related injuries on cruise ships have profound adverse consequences on employee engagement and the work environment, creating among crew members a perception of unattractive and unfavourable working conditions. The purpose of the present study is to outline the dimensions of injuries among crew members on board cruise ships. In-depth interviews with open-ended questions were conducted with 39 crew members who work on cruise ships. Dimensions of injuries among crew members on board cruise ships were: (1) slipping, stumbling, and falling; (2) body moving with or without any physical pressure, and (3) contacts with physical objects or liquid substances. Occupational and health safety on cruise ships is still an uncharted field of science. To the best of the author’s knowledge, this is only the second study that deals with crew injuries on cruise ships.
HYPOTHESES OF EQUIVALENCE AND THEIR TESTING

Hypothesis of no difference are null hypotheses for studies to show that populations differ. To show that populations are essentially the same, the appropriate null is that substantial differences do exist. We propose that there is a pent-up conceptual need for equivalence hypothesizing in all of marketing— e.g, for the testing of core marketing concepts including the marketing concept, optimization of the marketing mix, product differentiation, market segmentation, the building of brand loyalty, product positioning, test marketing, as well as marketing pedagogy. We present two statistical tests appropriate for Equivalence Hypothesis Testing (EHT). Usefulness of the method to marketing is discussed.
Early recruitment of phagocytes contributes to the vascular inflammation of giant cell arteritis

Vascular inflammation in giant cell arteritis is generally described as a process involving dendritic cells, T‐lymphocytes, and effector tissue macrophages. Less is known about the contribution of phagocytes that are recruited early, such as monocytes and neutrophils. These cells express and secrete pro‐inflammatory S100 proteins which directly activate endothelial cells. In this study the expression of S100A8/S100A9 and S100A12, pro‐inflammatory proteins specific for early recruited phagocytes, was studied in biopsies from 36 patients with giant cell arteritis. In addition, serum concentrations of these proteins were analysed in serum samples from 42 patients and 35 healthy controls. The S100A8/S100A9 complex was found to be abundant in the adventitia and media in affected arteries. Besides neutrophils, cells expressing these proteins belonged to a pro‐inflammatory subtype of CD68‐positive monocytes. In contrast, S100A12 expression was restricted to neutrophils that were found around the vasa vasorum within the adventitial layer. Both S100A8/S100A9 and S100A12 serum concentrations were significantly higher in patients with giant cell arteritis than in healthy controls. In conclusion, recently recruited phagocytes expressing pro‐inflammatory S100 proteins take part in the vascular inflammation of giant cell arteritis. They may play important roles at the vasa vasorum of affected vessels, which represent sites of entry for recruited inflammatory cells. These data indicate that phagocytes within the adventitia and media contribute to the process of inflammation via release of the pro‐inflammatory S100 proteins S100A8, S100A9, and S100A12. Copyright © 2004 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Reception antenna composed with unbalanced fed inverted L element for digital terrestrial television in Japan

The array antenna is proposed for the reception antenna of the digital terrestrial television broadcasting in Japan. The ultra low profile unbalanced fed inverted L antenna on parallel conducting wires is used as the driven element and two wires are located at the forward and backward directions of driven element. In the case of antenna size of 320 mm by 83 mm by 148 mm, the return loss bandwidth larger than 10 dB is satisfied from 480 MHz to 650 MHz. The directivity becomes 6.0 dBi to 7.77 dBi at this frequency band. In the numerical analysis, the electromagnetic simulator WIPL-D based on the method of moment is used.
Creating Value through Social Media: Fresh Evidence from Cultural Organizations

Abstract The impacts of digital technologies are gaining increasing attention in the service literature, and a growing number of cultural organizations are using online websites and social media to interact with their actual and potential customers. However, the contributions developed by service marketing scholars show little interest in examining the role of underlying technologies in a particular service experience context, namely, the cultural heritage context and the corresponding visiting experience. Therefore, the purpose of this research is to analyse how digital technologies, especially social media, can help cultural organizations stimulate customer engagement. To reach this aim, we conducted a single exploratory case study of a communication project developed by the National Archaeological Museum of Naples (MANN) to attract their actual and potential Italian and foreign visitors. The achieved results allow for us to show how digital communication tools can stimulate customer engagement in a cultural heritage context.
Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing

Mobile crowdsensing is a new paradigm that can utilize pervasive smartphones to collect and analyze data to benefit users. However, sensory data gathered by smartphone usually involves different data types because of different granularity and multiple sensor sources. Besides, the data are also time labelled. The heterogeneous and time sequential data raise new challenges for data analyzing. Some existing solutions try to learn each type of data one by one and analyze them separately without considering time information. In addition, the traditional methods also have to determine phone orientation because some sensors equipped in smartphone are orientation related. In this paper, we think that a combination of multiple sensors can represent an invariant feature for a crowdsensing context. Therefore, we propose a new representation learning method of heterogeneous data with time labels to extract typical features using deep learning. We evaluate that our proposed method can adapt data generated by different orientations effectively. Furthermore, we test the performance of the proposed method by recognizing two group mobile activities, walking/cycling and driving/bus with smartphone sensors. It achieves precisions of and in distinguishing cycling from walking and bus from driving, respectively.
Morphometrical study of plant vacuolar dynamics in single cells using three‐dimensional reconstruction from optical sections

In higher plants, vacuoles increase their volumes in accordance with cell enlargement and occupy most of the cell volume. However, quantitative analyses of vacuolar contributions during changes in cell morphology have been hampered by the inadequacies and frequent artifacts associated with current three‐dimensional (3‐D) reconstruction methods of images derived from light microscopy. To overcome the limitations of quantifying 3‐D structures, we have introduced 3‐D morphometrics into light microscopy, adopting a contour‐based approach for which we have developed an interpolation method. Using this software, named REANT, the morphological and morphometrical changes in protoplasts and vacuoles during plasmolysis could be investigated. We employed the tobacco (Nicotiana tabacum) BY‐2 cell line No.7, expressing a GFP‐AtVam3p fusion protein, BY‐GV7, using GFP as a marker of vacuolar membranes (VMs). By vital staining of the plasma membrane (PM) of cells, we simultaneously obtained optical sections of both the PM and VM. We, therefore, reconstructed the 3‐D structures of protoplasts and vacuoles before and after plasmolysis. We were able to identify the appearance of elliptical structures of VMs in the vacuolar lumen, and to determine that they were derived from cytoplasmic strands. From the 3‐D structures, the volumes and surface areas were measured at the single cell level. The shrinkage of vacuoles accounted for most of the decrease in protoplast volume, while the surface area of the vacuoles remained mostly unchanged. These morphometrical analyses suggest that the elliptical structures are reservoirs for excess VMs that result from the response to rapid decreases in vacuolar and protoplast volumes. Microsc. Res. Tech. 68:296–306, 2005. © 2005 Wiley‐Liss, Inc.
Preoperative quadriceps strength predicts functional ability one year after total knee arthroplasty.

OBJECTIVE Quadriceps weakness is common after total knee arthroplasty (TKA) as is longterm disability. We hypothesized that preoperative quadriceps strength would be the best predictor of postoperative functional ability when compared to preoperative pain or knee range of motion (ROM). METHODS Forty subjects (mean age 63 +/- 8 yrs, body mass index 29.4 kg/m2 +/- 4.2) were tested 2 weeks before and one year after TKA. Quadriceps strength was measured isometrically, pain was quantified using the Medical Outcome Study Short-Form 36 (SF-36) bodily pain subset, and knee flexion range of motion (ROM) was assessed by goniometer. Performance based functional assessment included the Timed Up and Go test (TUG) and a timed Stair Climbing Test (SCT). The Knee Outcome Survey (KOS) and the SF-36 questionnaires were used to quantify perceived function. The ability of preoperative factors to predict postoperative outcomes was analyzed using hierarchical regression. Differences in means before and one year after surgery were analyzed using paired t tests. RESULTS Significant improvements were found in all functional measures assessed (p < 0.001). Preoperative quadriceps strength accounted for the bulk of the variance in the one-year SCT and the TUG (p < 0.001), but did not achieve significance in predicting one-year questionnaire scores (p > 0.05). Neither preoperative pain nor knee ROM were significant predictors of any functional measure (p > 0.05). CONCLUSION Preoperative quadriceps strength plays a dominant role in predicting one-year SCT and TUG functional measures, but it is not a good predictor of score on self-report questionnaires. Preoperative bodily pain and knee flexion ROM are poor predictors of all functional outcome measures.
Myotube orientation using strong static magnetic fields

In this experiment, we evaluated the effects of strong static magnetic fields (SMF) on the orientation of myotubes formed from a mouse‐derived myoblast cell line, C2C12. Myogenic differentiation of C2C12 cells was conducted under exposure to SMF at a magnetic flux density of 0–10 T and a magnetic gradient of 0–41.7 T/m. Exposure to SMF at 10 T led to significant formation of oriented myotubes. Under the high magnetic field gradient and a high value of the product of the magnetic flux density and magnetic field gradient, myotube orientation increased as the myogenic differentiation period increased. At the 3 T exposure position, where there was a moderate magnetic flux density and moderate magnetic field gradient, myotube orientation was not observed. We demonstrated that SMF induced the formation of oriented myotubes depending on the magnetic flux density, and that a high magnetic field gradient and a high value of the product of the magnetic flux density and magnetic field gradient induced the formation of oriented myotubes 6 days after myogenic differentiation. We did not detect any effect of the static magnetic fields on myogenic differentiation or cell number. To the best of our knowledge, this is the first report to demonstrate that myotubes orient to each other under a SMF without affecting the cell number and myogenic differentiation. Bioelectromagnetics 33:421–427, 2012. © 2011 Wiley Periodicals, Inc.
INTEGRASI METODE SERVICE QUALITY, KANO MODEL DAN QUALITY FUNCTION DEPLOYMENT UNTUK PENINGKATAN KUALITAS PELAYANAN SEKOLAH STAF DAN KOMANDO ANGKATAN LAUT

TNI Angkatan Laut menyelenggarakan pendidikan Sekolah Staf dan Komando (Seskoal) yang juga diikuti oleh Perwira dari Angkatan Laut mancanegara sebagai kegiatan diplomatik pada operasi militer selain perang. Dari keberhasilan yang telah dicapai TNI Angkatan Laut, beberapa Pejabat Strategis Angkatan Laut negara sahabat menyebutkan bahwa TNI Angkatan Laut sudah berkelas dunia. Namun dari pernyataan beberapa Pasis mancanegara yang tengah mengikuti pendidikan reguler Seskoal angkatan ke-53, khususnya mengenai kualitas pelayanan di Seskoal masih terdapat banyak hal yang belum mencerminkan lembaga pendidikan yang berkelas dunia. Komandan Seskoal, bertekad membawa Seskoal kearah yang lebih maju, cerdas dan lebih diakui keberadaannya baik di lingkungan TNI, Nasional dan Internasional. Artikel ini berusaha menjawab beberapa pertanyaan, apa saja atribut pelayanan Seskoal; bagaimana klasifikasi atribut pelayanan di Seskoal; atribut pelayanan apa yang perlu diperbaiki dan ditingkatkan; dan apa yang menjadi usulan prioritas sebagai action plan . Berdasarkan hasil pengamatan, diskusi dan wawancara dengan Pasis mancanegara didapatkan 54 atribut layanan Seskoal. Dari atribut layanan tersebut terdapat 3 atribut yang masuk dalam kategori questionable , 3 atribut masuk kategori reverse , 15 atribut masuk kategori indifferent , 17 atribut masuk kategori attractive , 8 atribut masuk kategori one dimensional dan 8 atribut masuk kategori must be . Berdasarkan hasil studi ini diperoleh 16 atribut layanan dengan prioritas tinggi sebagai usulan perbaikan terhadap atribut tersebut sebagai upaya peningkatan Seskoal dalam rangka mewujudkan visi World Class Navy . Kata Kunci : service quality, Kano, Quality Function Deployment, Seskoal , World Class Navy
Simulation realer Unfalleinlaufszenarien der German In-Depth Accident Study (GIDAS). Erstellung und Nutzen von "pre crash scatter plots"

Der Fokus der technischen Innovationen der Automobilindustrie richtet sich aktuell auf die Entwicklung von sensorbasierten Sicherheitssystemen. Diese Systeme agieren in der Unfalleinleitungsphase. Um diese vorkollisionaere Phase eingehender zu beleuchten, ist eine Simulation des Unfalleinlaufszenarios unter Verwendung der GIDAS Datenbank erforderlich. Basis dieser Simulation sind zum einen geometrische Informationen der Unfallstelle und zum anderen exakte Unfalldaten aus der GIDAS Datenbank. Die Zusammenfuehrung dieser beiden Informationsquellen bietet die Moeglichkeit einer exakten Nachbildung der Unfalleinlaufbewegung aller Beteiligten unter Nutzung der Programme MATLAB/SIMULINK. Ergebnis dieser Simulation sind Informationen ueber die jeweilige geometrische Position, die gefahrenen Geschwindigkeiten und eventuell eingeleitete Manoever der Beteiligten zu einer gewuenschten "time to collision" (TTC). Mit diesen Ergebnissen ist es moeglich, ueber "pre crash scatter plots" sinnvolle Sensorgeometrien zu entwerfen oder Effizienzabschaetzungen von implementierten aktiven Sicherheitssystemen in Kombination mit Sensorcharakteristika durchzufuehren. Diese Simulation der Unfalleinlaufszenarien kann auf jeden rekonstruierten Unfall der GIDAS Datenbank angewendet werden. Somit bilden die Ergebnisse eine gesicherte Datenbasis fuer Neu- und Weiterentwicklungen von aktiven Sicherheitssystemen oder Sensorcharakteristika. (A) Beitrag zum Themenbereich "Funktionsentwicklung von Assistenzsystemen" der 24. VDI/VW-Gemeinschaftstagung "Integrierte Sicherheit und Fahrerassistenzsysteme, Wolfsburg, 29. und 30. Oktober 2008. Siehe auch Gesamtaufnahme der Tagung, ITRD-Nummer D364581.
A Perspective on Incentive Design: Challenges and Opportunities

The increasingly tight coupling between humans and system operations in domains ranging from intelligent infrastructure to e-commerce has led to a challenging new class of problems founded on a well-established area of research: incentive design. There is a clear need for a new tool kit for designing mechanisms that help coordinate self-interested parties while avoiding unexpected outcomes in the face of information asymmetries, exogenous uncertainties from dynamic environments, and resource constraints. This article provides a perspective on the current state of the art in incentive design from three core communities—economics, control theory, and machine learning—and highlights interesting avenues for future research at the interface of these domains.