Miracle-dz/UniFAR-FTUs huggingface dataset:
Provisional chapter Single and Coupled Nanobeam Cavities

In the coming decade in physics great effort will probably be devoted, among other things, to improving quantum storage and the development of quantum computer. To make use of quantum processes one should avoid decoherence influence of surroundings, or use specifically designed environment to modify the process considered. This is the case when an atom or a quantum dot — nanosized emitter in an active material — is located inside a medium exhibiting modified density of electromagnetic states, e.g., a photonic crystal. In fact, prospects to modify the density of states gave the major motivation to investigate photonic crystals back in the years of their inception. Still they generate large interest from the fundamental cavity quantum electrodynamics perspectives [1–3]. Photonic crystals based structures — beam splitters, cavities, slow light and logic devices — allow for a lot of diverse operations with light. Main advantages of dielectric photonic crystal components over, for instance, their plasmonic analogues are low-loss operation and low-cost production.
Spatial preferences in a choice experiment Visual impact of offshore wind turbines as a case

In this study, I examine how differences in choice experiment survey designs change the obtained results. The survey designs differ by the reminders included, such that one sample was given no reminders, one sample was given a cheap talk reminder and one sample was given both a cheap talk and an opt-out reminder. Using the opt-out reminder in choice experiment surveys is quite new in the literature (Ladenburg and Olsen (2014)), thus, this study is very relevant and explores issues that have not yet been addressed. Furthermore, I both examine how the results differ for the full sample and, additionally, how results differ across gender. By including the gender aspect, the main question that I wish to answer is whether or not male and female respondents react similarly to the reminders and, generally, if willingness to pay estimates differ across gender. The case used to illustrate this is placement of offshore wind turbines in Denmark. Specificly, I examine preferences for placing wind turbines farther off shore. Using a choice experiment survey design, which includes photo-shopped images of wind turbines placed at 8, 12, 18 or 50 km off shore and a monetary variable reflecting respondents’ hypothetical cost from choosing the different alternatives, preferences are estimated. Preferences are evaluated relative to the status quo alternative where wind turbines are placed 8 kilometers from shore with no additional cost for the respondents. There are a couple of things that are expected to be seen from the results. First off, we expect that when respondents receive any form of reminder in the survey the estimated willingness to pay decreases. This is because reminders are designed to mitigate hypothetical bias, that has been proven to exist in stated preference methods (hereunder the choice experiment method). Much literature reveals this to be true in the case of the cheap talk reminder, however, not much literature exists that evaluates the opt-out reminder, which is why this study is an important addition. Secondly, we expect that respondents state preferences that reveal spatial dependence, i.e. a distance-decay in willingness to pay. In this study, therefore, we expect that the willingness to pay in order to move wind turbines to distances further than 8 kilometers from shore, is lower for respondents who live far from the site in question than for the ones living close to it. In more general terms we could say, that peoples willingness to pay for a geographically fixed improvement decreases as respondents live farther away from this point. I find that both the cheap talk reminder and the opt-out reminder effectively mitigate hypothetical bias, thus, the estimated willingness to pay estimates are generally lower when respondents have received reminders in the survey. Furthermore, I find that the results calculated from the sample that received an opt-out reminder reveal a willingness to pay that is lower than the ones calculated from the sample that received only a cheap talk reminder. These results seem to hold for both gender
Improving the LPJmL 4-SPITFIRE vegetation-fire model for South America using satellite data ”

Vegetation fires influence global vegetation distribution, ecosystem functioning, and global carbon cycling. Specifically in South America, changes in fire occurrence together with land use change accelerate ecosystem fragmentation and increase the vulnerability of tropical forests and savannas to climate change. Dynamic Global Vegetation Models (DGVMs) are valuable tools to estimate the effects of fire on ecosystem functioning and carbon cycling under future climate changes. However, :::: most : fire-enabled DGVMs have partly poor performances ::::::: problems : in capturing the magnitude, spatial patterns, 5 and temporal dynamics of burnt area as observed by satellites. As fire is controlled by the interplay of weather conditions, vegetation properties and human activities, fire modules in DGVMs can be improved in various aspects. As a starting point, we here :: In ::: this ::::: study ::: we : focus on improving the controls of climate and hence fuel moisture content on fire danger in the LPJmL4-SPITFIRE DGVM in South America and especially for the Brazilian fire-prone biomes Caatinga and Cerrado. We therefore test two alternative model formulations (standard Nesterov index and a newly implemented water vapor pressure 10 deficit) for climate effects on fire danger within a formal model-data integration setup where we estimate model parameters against satellite data sets of burnt area (GFED4) and above ground biomass of trees. Our results show that the optimized model improves the representation of spatial patterns and the seasonal to inter-annual dynamics of burnt area especially in the Cerrado/Caatinga region. In addition, the model improves the simulation of above-ground biomass and :: the :::::: spatial :::::::::: distribution :: of plant functional types (PFTs). We obtained the best results by using the water vapor pressure deficit (VPD) for the calculation 15 of fire danger. The VPD includes, in comparison to the Nesterov index, a representation of the air humidity and the vegetation density. This work shows the successful application of a systematic model-data integration setup, as well as the integration of a new fire danger formulation, in order to optimize a process-based fire-enabled DGVM. It further highlights the potential of this approach to achieve a new level of accuracy in comprehensive global fire modelling and prediction.
POST-PRINT VERSION

Purpose Firms operating in contemporary hypercompetitive environments have to seek series of temporary advantages, sometimes requiring them to move beyond their current knowledge domains. The existing knowledgeand capability-based views have certain shortcomings in terms of explaining firm competitiveness in such situations. In order to narrow this gap, this study puts forward a “knowledge-based perspective on non-routine change” to explain how firms can generate innovative processes and outcomes that are disconnected from their current knowledge and capability base. Design/methodology/approach The study is a conceptual theory-development paper, which is based on the recent knowledge-based and capability approaches, and on other relevant literature related to nonroutine change in organizations. Findings Non-routine change is defined here as a process and an outcome that is disconnected from the firm’s current knowledge and capability base. The process involves the detachment from firm’s current knowledge and capability base, the identification of certain types of disconnected knowledge (slack, unrelated, unused, or unknown), and the leverage and combination of such knowledge in the search for novel, non-routine change outcomes. Originality/value The novelty of this paper lies in its view on firm-level competitiveness in situations in which the existing knowledge and capability bases are of little value. The study proposes a categorization that explains what types of disconnected knowledge assets are particularly useful in such a process, and identifies where they are likely to be located. Thus, the study provides new insights into the management of knowledge related to non-routine change in organizations.
Floristic species composition and structure of a mid-elevation tropical montane evergreen forests ( sholas ) of the western ghats , southern India

The study provides descriptive information of the floristic composition, forest structure and effects of disturbance on forest structure of a mid-elevation (≥ 1800 ≤ 2100 m amsl) tropical montane evergreen forests (sholas) in the Nilgiri Mountains, southern India. Sampling plots of 10 × 100 m (1000 m2, 0.1 ha) were surveyed in ten different locations within a large patch, giving a total sample area of approximately 1 ha. All individual stems (≥ 1 cm dbh) of trees, shrubs and lianas from these plots were identified to species level and counted. A total of 3896 individuals (≥ 10 cm dbh) comprising 97 species, 79 genera and 45 families were included. On average there were a total of 1246 individual stems of at least 10 cm per hectare with a basal area 53.33 m2 ha-1. The species abundance distribution did not differ significantly from a log-normal distribution. According to the Importance value index (IVI), five species, namely Litsea glabrata, Lasianthus venulosus, Meliosma simplicifolia, Daphniphyllum neilgherrense and Neolitsea fischeri were dominant species in the community and influenced forest structure more than any other species present. Lauraceae, Rubiaceae, Euphorbiaceae, Myrtaceae and Symplocaceae were most dominant families according to the Family Importance Value index (FIV). Our results also suggest that disturbance influences tree species richness and density and liana density and basal area, in addition to forest structure and changes species composition. Moreover, the study shows that one-hectare floristic inventories of shola forests can provide a useful tool for assessing plant biodiversity, and provide useful information for effective conservation and management of nature reserves.
Improving Inference via Perturbations by YingYing ( Brittany )

Cellular networks in biological systems are complex and as such, identifying the molecular interactions that give rise to the complex behavior observed can require an immense amount of data. Often, statistical and machine learning techniques are used to analyze this data and extract a global picture of network dynamics. One of the challenges of network analysis in systems biology is finding the connections between genes, proteins, or both, and predicting additional ones that have not yet been detected experimentally. This problem is easily mappable to the inverse problem of statistical physics: inferring the microscopic particle-particle interactions given macroscopic observations of a system. In particular, the focus of this work is to investigate whether perturbations can be introduced into the system so as to improve the output data quality. Specifically, we explore how perturbations in the form of magnetic field can be used to improve the inference of interactions for a three-spin Ising system. Utilizing a maximum likelihood approach, we empirically show that there exists an optimal field where learning is most e cient. Such a field seems to counteract the individual interactions between spins, allowing for optimal inference.
Isolation, Identification and Antibiogram Study of Salmonella spp. from Poultry Farm Environment

Wide spread use of antimicrobials in poultry farming here is a concern of multi-drug microbial resistance development that can potentially be transmitted to human pathogens even from non-pathogenic carrier strains. Attempt was made to assess drug susceptibility in Salmonella from poultry sources of Bangladesh. Salmonella isolated from poultry sources were thoroughly characterized by standard cultural and biochemical tests from which 5 were tested for susceptibility to 10 antibiotics following disk diffusion method. Out of total 60 samples 32 (53.33%) were found positive for Salmonella. Highest number of Salsmonella was isolated from egg surface washing (90%), followed by cloacal swab (80%), intestinal content (60%), hand wash of poultry handler (50%) and in fecal materials(40%) but no isolate was found on environment (air) samples. 100% of the tested Salmonella isolates from poultry sources were found to be resistant to Erythromycin, Tetracycline and Nalidaxic Acid and 80% strains showed resistance to Ciprofloxacin whereas, Ampicillin, Amoxicillin, Sulphamethoxazole and Kanamycin showed 60% resistance. No isolate showed resistance to Gentamicin. Sensitivity was recorded in case of 40% strains to Chloramphenicol, Ampicillin, Amoxicillin, Sulphamethoxazole, Kanamycin and 20% isolate against Ciprofloxacin. Both, resistance and susceptibility were exhibited against Chloramphenicol, Ampicillin, Amoxicillin, Sulphamethoxazole, Kanamycin, and Ciprofloxacin. Further study is required on the role of poultry borne bacteria as vectors in transmitting drug resistance. Attention is to be paid for personnel hygiene in processing and handling of poultry and poultry products and excess use or abuse of antibiotics should be reduced or stopped by the judicious application of antibiotics for the safety of public health in Bangladesh.
4 D Trajectory management through Contract of Objectives

Contract-of-Objectives (CoO) is designed in the context of trajectory-based Air Traffic Management (ATM), using mutually agreed objectives between Air Traffic Control (ATC), airlines and airports. This paper provides an overview of the assessment of CoO and discusses the results of the three Human-in-the-Loop (HIL) evaluations of the concept of operations. Measurements were collected and analyze d of system performance (i.e., safety, efficiency, and capacity ) as well as human performance (i.e., workload, situation awareness, and acceptability) for the human actors involved. Findi ngs indicate that controllers and pilots are positive about the concept of operations, and they do agree on the principle of f lying what was “planned, agreed and negotiated” during the planning phase, as opposed to the current “first come, first served” approach. The renegotiation was assessed as manageable, even with the 2020 traffic load, without any impact on safety. They al l recognize that implementation of CoO increases the collaboration b etween crew and ground, as they share not only the same data bu t also the same robust objective all along the flight, i.e. th e objective determined at strategic level through a Collaborati ve Decision Making process (CDM). Some improvements are still n eeded regarding the HMI and the generation of Target Windows (TWs). The airport and airline operators, as well as the network manager considered renegotiation to be feasible and acceptable. They were interested in the CDM process proposed. Th ey found the principle of sharing the operational data of ot her actors to be a great improvement in the way the choices are made and validated.
A semantic underspecification-based analysis of scope ambiguities in gapping 1

Gapping is known to interact with scopal operators to create an ambiguity between so-called wideand distributive-scope readings (Siegel, 1984). In this paper, we offer an analysis of these readings which combines an underspecified treatment of scope and a general theory of coordination. Utilizing the technique of semantic underspecification (Richter and Sailer, 2004), we develop a new coordination rule that captures an asymmetry in the semantic contributions between initial and non-initial conjuncts observed independently of Gapping. This semantic asymmetry in coordination as well as well-justified assumptions about tense and scopal operators (Condoravdi, 2002; Champollion, 2015) correctly predict the various readings of conjoined sentences with or without Gapping.
Chapter 1 Microservices Anti-Patterns : A Taxonomy

Several companies are re-architecting their monolithic information systems with microservices. However, many companies migrated without experience on microservices, mainly learning how to migrate from books or from practitioners’ blogs. Because of the novelty of the topic, practitioners and consultancy are learning by doing how to migrate, thus facing several issues but also several benefits. In this chapter, we introduce a catalog and a taxonomy of the most common microservices anti-patterns in order to identify common problems. Our anti-pattern catalogue is based on the experience summarized by different practitioners we interviewed in the last three years. We identified a taxonomy of 20 anti-patterns, including organizational (team oriented and technology/tool oriented) anti-patterns and technical (internal and communication) anti-patterns. The results can be useful to practitioners to avoid experiencing the same difficult situations in the systems they develop. Moreover, researchers can benefit of this catalog and further validate the harmfulness of the anti-patterns identified.
1 Mechanisms of crustal growth in large igneous provinces : the North-Atlantic Province as a case study

The mechanisms of magma crust accretion at LIPs are questioned using arguments based on the North-Atlantic case. Published and new data on the calculated flow vectors within dike swarms feeding the early traps and subsequent SDR-lavas suggest that most of the mafic magmas forming the North Atlantic LIP transited through a small number of igneous centers. The magma was injected centrifugally in dike swarms at some distance away from individual igneous centers along the trend of the maximum horizontal stress acting in the crust, feeding lava piles via dikes intersecting the ground surface. This mechanism is similar to that observed in present-day Iceland and, more generally, in mafic volcano-tectonic systems. The absence of generalized vertical magma transit in a LIP has major geodynamic consequences. We cannot link the surface extent of LIP magmas to the dimensions of the mantle melting zone as proposed in former plume head models. The distribution of LIP magmas at the surface is primarily controlled by the regional stress field acting within the upper crust, but is also affected by magma viscosity. The igneous centers feeding LIPs most likely represent the crustal expression of small-
Social Cognitive Theory as an Effective Clinical Supervision Approach : The Social Cognitive Theory of Supervision

New supervisors often experience difficulty shifting from counseling to supervision. Lack of experience, coupled with confusion pertaining to professional roles stagnate the supervisory relationship. This article applies Social Cognitive Theory (SCT; Bandura, 1986) to the supervision process. SCT can potentially promote supervisor and supervisee growth and flexibility, as well as offer a pragmatic supervisory model. Backed by research supporting SCT, the purpose of this article is to provide a succinct model that is able to meet the capricious needs of both supervisors and supervisees.
Study 1 : Effects of hypertext writing 1 . 1

mode (hy versus obs formal aca genre. De quality. Fo effects bet prior cont content kn students w strong init writing sk the hypert could be did not m with low p interaction M, Rijlaarsdam nal learning on tal studies expl doi: 10.17239/j artine A. H. Br hof 20, 2595 B : Earli | This arti tive Works 3.0 ts of hy ing on fficacy, experim ment in
Simulation of biomass production and soil water dynamics on highly weathered , acidic Acrisols with the EPICSEAR model

1 Abstract The EPICSEAR model is a newly developed version of the EPIC model for simulating crop production and nutrient uptake on highly wheatered, acidic soils. It has been used to simulate soil water dynamics and biomass production of a Maize/Cowpea intercrop with and without fertilization on an Alumi-Haplic Acrisol with high aluminium saturation. The simulation results were used to appreciate the effect of fertilization on water use efficiency in rainfed agriculture on similar sites. The simulation results where checked against soil water and biomass measurements of a field trial in the semiarid Northeast of Brazil. The field had been previously used for Maize/Cowpea mixed cropping and the effect of complete fertilization (C) on soil water changes, nutrient uptake and biomass development was tested in a randomized complete block design with four repetitions against the control treatment (CR) without fertilizer application. Depending on the parametrization of soil hydrological properties, the average total dry matter production of both treatments (C and CR) was reasonably well represented by the model. The absolute soil water content was better represented when field capacity and wilting point were calculated from pedotransferfunctions other than the EPIC defaults. The coefficients of transpiration in the treatment with complete fertilization were ranged on average between 576 and 653 l kg dry matter depending on the calculation method for crop transpiration, whereas those in the control were between 1265 and 1528 l kg. The results demonstrate the extremely high coefficients of transpiration of a maize/cowpea intercrop under semi-arid tropical conditions and the increase of efficiency of transpiration by more than 100% when mineral fertilizer is applied.