Miracle-dz/UniFAR-FTUs huggingface dataset:
Intermittency

Acknowledgements Abbreviations Preface, Jean-Jacques Lecercle Introduction Kojeve's Hegel An Anti-Schematics of Historical Reason Sartre: History and Hysteresis The Example of Orwell 1. The Logic of Intermittency: Alain Badiou The Structure of Intermittency Inexistents Custos, Quid Noctis? The Example of Flaubert 2. Sporadic Modernity: Francoise Proust The Beginnings of Modernity Catastrophe in Permanence Explosions of Justice The Example of Wordsworth 3. A Counter-Phenomenology of Spirit: Christian Jambet The Great Resurrection of Alamut The Paradoxical One The Dark Event The Example of Rimbaud 4. Alternances Indepassables: Guy Lardreau The Remains of History Kanto-Lacanianism Art and the Moment of Spirit The Example of Kleist 5. Intermittency and Melancholy: Jacques Ranciere Egalitarian and Democratic Events Historical Decompositions Aesthetics and Partage The Example of Rossellini Conclusion: Prolegomena for a Critical Synthesis Badiou and Speculative Realism The Question of Rarity The Unerasable Conviction The Necessity of Literature The Example of Sebald Appendix: Lardreau: Philosophization, Negation and Veracity Bibliography Index.
Cost‐effectiveness of ultrasound‐guided liver biopsy

The risk of a major complication from “blind” percutaneous liver biopsy is reported to be in the range of 0.24% to 3.8%. In a recent randomized trial, patients whose liver biopsies were performed with ultrasonography had a significant reduction in complications requiring hospitalization compared with patients without ultrasound‐guided biopsies (0.5% vs. 2.2%, P < .05). Despite this, routine use of ultrasonography for liver biopsies has not been implemented because of controversies with respect to cost‐effectiveness. The aim of our study was to analyze the relative cost‐effectiveness of performing ultrasound‐guided liver biopsies using decision analysis. A decision tree was constructed to compare a strategy of liver biopsy using ultrasonography with a strategy without ultrasonography. The major outcomes included were minor complications such as pain requiring analgesics and major complications, which require hospitalization. Costs included were direct medical costs from the payer's perspective. In our baseline model, the cost from complications per patient with and without ultrasonography was $62 and $129, respectively. The marginal effectiveness expressed as the number of major complications avoided was 1.2/100 liver biopsies. The incremental cost to avoid one major complication was $2,731. The model was most sensitive to the frequency of major complications and the additional cost of ultrasonography. Our decision analysis model suggests that ultrasound‐guided liver biopsy is cost‐effective. Future studies assessing the efficacy of image‐guided liver biopsies should be conducted.
Anticipatory visual perception as a bio-inspired mechanism underlying robot locomotion

Anticipation of sensory consequences of actions is critical for the predictive control of movement that explains most of our sensory-motor behaviors. Plenty of neuroscientific studies in humans suggest evidence of anticipatory mechanisms based on internal models. Several robotic implementations of predictive behaviors have been inspired on those biological mechanisms in order to achieve adaptive agents. This paper provides an overview of such neuroscientific and robotic evidences; a high-level architecture of sensory-motor coordination based on anticipatory visual perception and internal models is then introduced; and finally, the paper concludes by discussing the relevance of the proposed architecture within the context of current research in humanoid robotics.
Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics

There is much debate about whether the Medicare Prescription Drug Bill -- the greatest expansion of Medicare benefits since its creation in 1965 -- will improve the health of elderly Americans, and how much it will cost. We model how insurance affects medical care utilization, and subsequently, health outcomes over time in a dynamic model with correlated errors. Longitudinal individual-level data from the 1992-1998 Medicare Current Beneficiary Survey provide estimates of these effects. Simulations over five years show that expanding prescription drug coverage would increase drug expenditures by between 12% and 17%. However, other health care expenditures would only increase slightly, and the mortality rate would improve.
Labelling of the Energetic Efficiency on a Case Study in Passo Fundo, RS, Brazil, in Accordance with the Mentioned Methods under the Respective Brazilian Regulation—RTQ-C

Having as a starting point of the problematic energy consumption of buildings, it studied the panorama of energy efficiency, emphasizing the Brazilian program of the INMETRO (Instituto Nacional de Metrologia, Normalização e Qualidade Industrial), PROCEL “Edifica” (national program for energy efficiency in buildings), contained in the norm RTQ-C (technical requirements of the quality for the level of energetic efficiency of commercial, service, and public buildings). For a better understanding of the regulation, it elected a building, emblematic in the city of Passo Fundo, RS, Brazil, illustrating the perspective of the program. The building was classified in accordance with the two methodologies presented by the program: prescriptive and simulation, so it was possible to investigate the peculiarities of each methodology and the own regulation. After the application of the methodologies, we came to the conclusion that the prescriptive method is less accurate and requires more dedication by the evaluator to do all the calculations and surveys required, however, it is the fastest tool and accessible to the field professionals. The simulation on the other hand, is a more accurate methodology and reaches levels of analysis that the prescriptive method does not reach, but still is a tool that needs large initial financial contribution and prior knowledge.
Crowdfunding: Designing an effective reward structure

Many crowdfunding platforms allow developers maximum flexibility in terms of the number and types of rewards offered in a project. However, designing an effective reward structure continues to be a major challenge. This article empirically examines consumers’ responsiveness to different factors related to reward structures on crowdfunding platforms. We collected data from 2,262 rewards programs across 219 projects and applied a mixed Tweedie model to investigate the impact of various reward structures on the number of backers and the revenue generated at each reward tier. The results revealed a significant effect of reward limit setting on backers’ interest, but this effect varies by reward tiers. Higher tiers attenuate price sensitivity. The reward type matters as well: material rewards are better received than symbolic ones on crowdfunding platforms, but only in lower reward tiers. These findings have direct implications for launching crowdfunding projects that will be more effective in creating buzz and reaching their fundraising goals.
How is brand experience designed in practice?: Results of a multiple-case study

Brand experience is an important concept in marketing because it can affect brand loyalty, brand recall, and brand attitude. Brand experience design is therefore an important practice for companies to create favourable and meaningful experiences, through the design of various touchpoints that are in line with the brand values. This paper presents a multiple-case study of brand experience design in practice. Our results suggest similarities and differences between product design and brand experience design processes. Furthermore, we suggest that reciprocal influences may exist between the brand and touchpoint design. We also provide insights for managers and designers to not only use logical reasoning but also other capabilities to design for brand experiences. Finally, we identified the limitations of our study and interesting areas for future research.
Hold the Chips: Chipless Technology, an Alternative Technique for RFID

Entering "RFID" on your Web browser will return you more than 50 million links. This huge number of references is a result of the impact of radio-frequency identification (RFID) technology worldwide [1]. Indeed, RFID technology is exploited in numerous domains, with thousands of applications, including more and more seen in everyday life. The RFID market is worth several billion dollars today, and its growth is more than 10% per year [2], [3]. There are two main classes of RFID devices. Figure 1 illustrates the main features of each class. The most known and broadly used class is the one based on the use of an integrated circuit (IC) chip in which the information is stored and that is connected to an antenna; the two together form the "tag. " Such a technology exhibits several advantages, including flexibility and versatility in terms of the application. Nevertheless, it has some drawbacks mostly in terms of cost, robustness, reliability, data security, and poor recyclability of tags. More properties and new functionalities, such as sensing capabilities and tag-totag communication [4], are continually being developed, leading to the new paradigm of Internet of Things [5].
Dynamic Weighted PSVR-Based Ensembles for Prognostics of Nuclear Components

Combining different physical and / or statistical predictive algorithms for Nuclear Power Plant (NPP) components into an ensemble can improve the robustness and accuracy of the prediction. In this paper, an ensemble approach is proposed for prediction of time series data based on a modified Probabilistic Support Vector Regression (PSVR) algorithm. We propose a modified Radial Basis Function (RBF) as kernel function to tackle time series data and two strategies to build diverse sub-models of the ensemble. A simple but effective strategy is used to combine the results from sub-models built with PSVR, giving the ensemble prediction results. A real case study on a power production component is presented.
The Latino Integrative Medical Group Visit as a Model for Pain Reduction in Underserved Spanish Speakers

Objectives: Chronic pain is a common problem in the United States, one for which there is a dearth of effective treatments. Nonpharmacological options are a promising alternative, especially for Spanish-speaking Latinos. This pilot study would like to assess the feasibility of an adapted Integrative Medical Group Visit (IMGV) curriculum for a Spanish-speaking Latino chronic pain population. Design and Intervention: We translated and adapted the curriculum of the IMGV for a Spanish-speaking Latino chronic pain population. We then tested the feasibility of using this model with two pilot groups (N = 19) using a pre–postdesign. Subjects: This intervention was targeted for underserved Spanish-speaking Latino patients with chronic pain. Settings/Location: This study took place at a safety net academic teaching hospital, the Boston Medical Center, and at a community health center located in a majority Latino neighborhood, the East Boston Neighborhood Health Clinic. Outcome measures: We used the validated Spanish translations of the Patient-Reported Outcomes Measurement Information System (PROMIS-29) (short version), Personal Health Questionnaire (PHQ-8), and Perceived Stress Scale (PSS-10). We also gathered qualitative information through focus groups and in-depth interviews. Results: Using PROMIS measures, there was a statistically significant reduction in pain interference ( p = 0.01), fatigue ( p = 0.01), and depression ( p = 0.01). Qualitative data also indicated the participants felt they benefited from the visits and having care in Spanish was unique. Conclusions: This model offers a promising nonpharmacological option for Spanish-speaking patients with chronic pain and could offer an alternative for addressing disparities for this population.
Smart Garbage Based on Internet of Things (IoT)

Trash is one of serious problems in Indonesia. It leads to another problems which deal with social, culture and economic, most of cities inindonesia have some problems in managing the trush. It is because the government doesn’t have the standard of trash management. The schedule to take the trash usually discover a problems with a lateness. The lack of trashmanagement and people’s habbit who don’t care about the trash impact effect to more serious problems that dealwith the trash. Such as, enviromental problems. Based on the problems the researcher makes a system called “Smart Garbage Based On Internet of things”. The system applies the technology of temporary garbage used internal system. This system creates in order to fix the problem of punctuality. Which makes the trash management more effective and afficient. The process of uploading the information in the internal awerness of based on the “real time” ativity this system can increase the peurity and health. Because the trash is controlled and not aculamulated arround people. The ultrasonic sensor and nodeMCU are used as a module of IoT to discover the temporary garbage. Grapical user Interface dekstop and android are also used in order to observe the level of trash in temporary garbage. The notification system can be access in mobile and dekstop interface. Furthermore the temporary garbage location can find by using google map the result of research shows that the system is running well. The system can onilne 12 hours/day along 2 weeks in exsperiment. The data sent by online based on “real time” activity and the result of mapping and tracking on android show the location of garbage.
Chapter 2 Lens Correction and Gamma Correction

Recently, the necessity of camera in vehicle industry is increasing now as increasing the smart car needs. Almost smart car concepts are implemented by using the camera system based on image processing technology. Actually, the rear view camera for parking assistance system, the forward view camera for lane departure warning and forward collision warning system, and multi-view camera for vehicle black box and blind spot warning system and so on, so many systems those adopted the camera system are already released. However, performance of these functions strongly depends on the image quality through the camera system. Especially, distortion of a thing pictured by the lens and suddenly illumination changing by environments are core factors affecting the image quality for smart car performance. Thus, in this chapter, we introduced a vehicle friendly lens correction algorithm and a gamma correction algorithm with objective illumination estimation method. In the lens correction part, we introduced a simple lens correction method in low-cost camera and we propose a method that leads to guarantee of the restrictions simultaneously for the determination. In the gamma correction part, we introduced the objective illumination estimation methods and the gamma correction methods based on tone mapping.
Insightful circuit modeling of FSS with arbitrary scatterers

A physical insightful and quasi-analytical circuit model is here proposed in order to characterize frequency selective surfaces composed by scatterers/apertures of arbitrary geometry. The present work is an extension of the approach previously proposed by some of the authors that dealt only with simple dipole-based periodic surfaces. In order to account for scatterers of more complex shape, their current profile is extracted from a full-wave tool at a single frequency. Our numerical results are validated through comparison with commercial simulators as well as with previously proposed circuit-model approaches.
A Comprehensive Toolkit of Plant Cell Wall Glycan-Directed Monoclonal Antibodies1[W][OA]

A collection of 130 new plant cell wall glycan-directed monoclonal antibodies (mAbs) was generated with the aim of facilitating in-depth analysis of cell wall glycans. An enzyme-linked immunosorbent assay-based screen against a diverse panel of 54 plant polysaccharides was used to characterize the binding patterns of these new mAbs, together with 50 other previously generated mAbs, against plant cell wall glycans. Hierarchical clustering analysis was used to group these mAbs based on the polysaccharide recognition patterns observed. The mAb groupings in the resulting cladogram were further verified by immunolocalization studies in Arabidopsis (Arabidopsis thaliana) stems. The mAbs could be resolved into 19 clades of antibodies that recognize distinct epitopes present on all major classes of plant cell wall glycans, including arabinogalactans (both protein- and polysaccharide-linked), pectins (homogalacturonan, rhamnogalacturonan I), xyloglucans, xylans, mannans, and glucans. In most cases, multiple subclades of antibodies were observed to bind to each glycan class, suggesting that the mAbs in these subgroups recognize distinct epitopes present on the cell wall glycans. The epitopes recognized by many of the mAbs in the toolkit, particularly those recognizing arabinose- and/or galactose-containing structures, are present on more than one glycan class, consistent with the known structural diversity and complexity of plant cell wall glycans. Thus, these cell wall glycan-directed mAbs should be viewed and utilized as epitope-specific, rather than polymer-specific, probes. The current world-wide toolkit of approximately 180 glycan-directed antibodies from various laboratories provides a large and diverse set of probes for studies of plant cell wall structure, function, dynamics, and biosynthesis.
Nontypeable Haemophilus influenzae Gene Expression Induced In Vivo in a Chinchilla Model of Otitis Media

ABSTRACT The gram-negative bacterium nontypeable Haemophilus influenzae (NTHI) is the predominant pathogen in chronic otitis media with effusion and, with Streptococcus pneumoniae and Moraxella catarrhalis, is a causative agent of acute otitis media. To identify potential virulence determinants, bacterial gene expression was monitored by differential fluorescence induction during early disease progression in one specific anatomical niche of a chinchilla model of NTHI-induced otitis media. Genomic DNA fragments from NTHI strain 86-028NP were cloned upstream of the promoterless gfpmut3 gene. NTHI strain 86-028NP served as the host for the promoter trap library. Pools of 2,000 transformants were inoculated into the left and right middle ear cavities of chinchillas. Middle ear effusions were recovered by epitympanic tap at 24 and 48 h, and clones containing promoter elements that were induced in vivo and producing green fluorescent protein were isolated by two-color fluorescence-activated cell sorting. Insert DNA was sequenced and compared to the complete genome sequence of H. influenzae strain Rd. In a screen of 16,000 clones, we have isolated 44 clones that contain unique gene fragments encoding biosynthetic enzymes, metabolic and regulatory proteins, and hypothetical proteins of unknown function. An additional eight clones contain gene fragments unique to our NTHI isolate. Using quantitative reverse transcription-PCR, we have confirmed that 26 clones demonstrated increased gene expression in vivo relative to expression in vitro. These data provide insight into the response of NTHI bacteria as they sense and respond to the middle ear microenvironment during early events of otitis media.
Skeletal effects of aging and menopausal status in female rhesus macaques.

To further define the nonhuman primate as a model of the adult human skeleton, we explored the impact of growth, natural menopause, and osteoarthritis on bone mass, serum markers of bone turnover (osteocalcin and C-terminal telopeptide of type I collagen) and measures of skeletal relevance (PTH, 25-hydroxyvitamin D, total alkaline phosphatase, calcium, phosphorus, creatinine, and albumin). Fifty-eight female (aged 4-30 yr) rhesus macaques were defined as growing (G; n = 12; < or = 10 yr old), adult premenopausal (APre; n = 30; > 10 yr old; eumenorrheic, high serum estradiol and low FSH), or postmenopausal (Post; n = 16; amenorrheic for at least 1 yr, with low serum estradiol and high FSH). Total body and posterior-anterior spinal bone masses were lower in G than APre animals (P < 0.05). Post females had lower total body, distal radius, and spinal bone mass than premenopausal animals (P < 0.05). Osteocalcin was higher in Post than APre animals (P < 0.01). Other measures showed no relationship with menopausal status. In older monkeys, spinal osteoarthritis became common, causing increased dual-energy x-ray absorptiometry-measured bone mass in the lumbar spinal posterior-anterior projection. In conclusion, after natural menopause, rhesus monkeys have lower bone mass and higher skeletal turnover without alteration of the calcium-vitamin D axis. As such, they are an excellent model of human estrogen-depletion bone loss.
Isolation and Antimicrobial Susceptability of Listeria Monocytogenes from Raw Milk and Milk Products in Northern Kaduna State, Nigeria

Listeria (L.) monocytogenes is an ‘emerging food borne pathogen’ that poses threat to global food safety. Its occurrence in milk and milk products constitute a negative impact to the dairy industry. Despite its veterinary public health significance, only few studies are available on the prevalence and characteristics of the organism from milk and milk products in Nigeria. The main objectives of this study were to isolate, identify and determine the antibiotic susceptibility patterns of the Listeria monocytogenes isolated from raw milk and milk product in Kaduna state Nigeria. A total of 550 samples of raw milk and milk products (fermented milk “Kindrimo” and milk butter “Manshanu”) were collected during a cross-sectional study. Of these 550 samples, 193 (35.10%) samples were positive for Listeria species- like growth when plated on chromogenic Listeria agar, 91 (47.15%) from raw milk, 65 (33.67%) from ‘Manshanu’ and 37 (19.15%) ‘Kindrimo’. A total of 36 (6.55%) were found to be L. monocytogenes based on conventional biochemical tests. However, when further subjected to MicrobactTM Listeria 12L detection Kit (Oxoid, MB1128A) only 3 (8.3%) of the 36 isolates were identified as L. monocytogenes, while the others were L. grayi 4 (11.1%), L. ivanovii 27 (75.0%) and L. seeligeri 2 (5.6%). The multiplex PCR assay identified 9 Listeria (L.) monocytogenes isolates harbouring the hly A gene. The susceptibility of 36 L. monocytogenes isolates to 10 antibiotics was evaluated using the disk diffusion method. Isolates from milk samples had an overall resistance of 64.09% to the antibiotics, followed by isolates from ‘Kindrimo’ (61.67%), and least resistance was observed in isolates from ‘Manshanu” (58.33%). Overall, L. monocytogenes isolates showed the highest frequency of resistance to ampicillin (100%), followed by penicillin (95%) and cloxacillin (90%). In conclusion, the isolation of L. monocytogenes and other Listeria species in this study calls for an improved hygienic practices in the milk and milk products production channels and for the enlightment of the Fulani herds men and women by agricultural extension workers. Also, the resistance pattern shown by the isolates is an indication that the use of antibiotics should be regulated to minimize the incidence of antibiotic resistance.