Miracle-dz/UniFAR-FTUs huggingface dataset:
MEASUREMENT ACCURACY ON 3D POINT CLOUD GENERATED USING MULTISPECTRAL IMAGERY BY DIFFERENT CALIBRATION METHODS

Abstract. The state-of-the-art lightweight multispectral cameras are widely used for low altitude remote sensing, also can be exploited as a tool for close-range photogrammetry application. The acquired imagery can be used for generating the 3D model using Structure-from-Motion/ Multi-view Stereo (SfM/MVS) processing software. In photogrammetry, camera calibration is an essential step for accurate measurement. The parameter of the camera system can be estimated using photogrammetric self-calibration bundle-adjustment, or by automatic and straightforward calibration procedure developed by computer vision (CV) community. When using SfM/MVS photogrammetry software, the pre-calibration value is not required, as the algorithm calculates the parameter as a part of point cloud construction process. Nevertheless, processing with the uncalibrated image is only suitable when no metric accuracy required in the modelling project. This paper aims to evaluate the measurement accuracy on generated 3D point cloud based on different estimated parameter method. The evaluation of measurement accuracy started by estimates the camera’s interior parameter using two different approaches; photogrammetric self-calibration bundle-adjustment and computer vision calibration. The estimated parameter from both methods then imported into commercial SfM/MVS software to construct the 3D point cloud. The point cloud also generated using uncalibrated images and used for measurement accuracy assessment. All parameters applied to the same datasets involved three different check-fields. Two accuracy assessments were performed by comparing the check-points and check-distance extracted with the total station measurement. As a result, the point cloud generated using photogrammetric approach provides the most accurate result on both assessments. While the automatic on-the-job self-calibration shows inconsistent results.
Higher Education in Pakistan : A Comparative Study of the Neo-Marxist and Neo-liberal Stance on Higher Education

The present article compares the neo-liberal response towards higher education needs and realities in the present times and the neo-marxist reaction to this neo-liberal response. In the present study these two positions are compared and an attempt is made to understand the implications of the propsed higher education reforms in the context of Pakistan. This analysis is done in the background of the major articles written by the thinkers belonging to these two rival schools of thought. The article, in the light of the relevant literature tries to arrive at a realistic position regarding the higher education status in Pakistan. The Context of Reforms With the ascendence of market economy and neo-liberal principles, the need to reform the higher education set up became a priority for the policy makers. The establishment of a free market allowed the neo-liberal thinkers and supporters to coceive human existence either as a consumer or a producer of goods and services in the market. The society , in the eyes of these intellectuals has taken the • Iqra University, Karachi, Pakistan
THE EFFECT OF FUNGAL ACTIVITY ON PHOTOSYNTHETIC PARAMETERS OF DIFFERENT CANNA CULTIVARS UNDER FIELD CONDITIONS

Three-year studies (2014–2016) were conducted in Lublin in the south-east Poland. The objects of research were the plants of ten canna cultivars: ‘Aida’, ‘America’, ‘Botanica’, ‘Cherry Red’, ‘La Boheme’, ‘Lucifer’, ‘Picasso’, ‘Robert Kemp’, ‘President’ and ‘Wyoming’. Observations were carried out each year in October. Plants with symptoms of stem and root rot, leaves yellowing and wilt were noticed on the investigated plantations. The plants were studied with regard to photosynthetic activity and also by disease index for all cultivars and statistical analysis was carried out upon them. The effect of disease index on photosynthetic intensity and transpiration was determined after the calculation of Pearson’s correlation coefficient. Infected plants were collected for mycological analysis. The results of mycological analysis showed that canna plants were colonized by Fusarium spp. , Sclerotinia spp. and Alternaria spp. Alternaria alternata, Fusarium oxysporum, Fusarium avenaceum and Sclerotinia sclerotiorum predominated among pathogenic species. The best health status and the lowest number of colonies were noticed for plants of cv. ‘Botanica’. The infection of canna leaves by pathogenic fungi has negatively affected the intensity of photosynthesis, transpiration, stomatal conductance and sub-stomatal CO2 concentration and it was largely related to the degree of infestation of specified varieties of canna. The photosynthesis process was limited especially in ‘La Boheme’, ‘Picasso’, ‘Cherry Red’ and ‘President’ cultivars, which were infected most frequently by pathogenic fungi. It was confirmed by negative Pearson’s coefficient.
Pharmakologische Ansätze in der Adipositastherapie

Drug Treatment for Obesity. Overweight and obesity are associated with various comorbidities and thus lead to impaired quality of life and an increased mortality. Lifestyle modifi cations remain the cornerstone of antiobesity therapy, while drugs can be an adjunct to assist and maintain weight loss. At present, the intestinal lipase inhibitor orlistat is the only drug approved in Austria for medical therapy of obesity. For patients with type-2 diabetes, metformin and the newer classes of antidiabetic drugs, such as incretin therapeutics and SGLT2-inhibitors, can support weight loss. J Klin Endokrinol Stoffw 2014; 7 (2): 55–7.
SSC 19-WKVIII-09 Fault Tolerant Nanosatellite Computing on a Budget

In this contribution, we present a CubeSat-compatible on-board computer (OBC) architecture that offers strong fault tolerance to enable the use of such spacecraft in critical and long-term missions. We describe in detail the design of our OBC’s breadboard setup, and document its composition from the component-level, all the way down to the software level. Fault tolerance in this OBC is achieved without resorting to radiation hardening, just intelligent through software. The OBC ages graceful, and makes use of FPGA-reconfiguration and mixed criticality. It can dynamically adapt to changing performance requirements throughout a space mission. We developed a proof-of-concept with several Xilinx Ultrascale and Ultrascale+ FPGAs. With the smallest Kintex Ultrascale+ KU3P device, we achieve 1.94W total power consumption at 300Mhz, well within the power budget range of current 2U CubeSats. To our knowledge, this is the first scalable and COTS-based, widely reproducible OBC solution which can offer strong fault coverage even for small CubeSats. To reproduce this OBC architecture, no custom-written, proprietary, or protected IP is needed, and the needed design tools are available free-of-charge to academics. All COTS components required to construct this architecture can be purchased on the open market, and are affordable even for academic and scientific CubeSat developers. Fuchs 1 33 Annual AIAA/USU Conference on Small Satellites
Sülfür İçeren Antioksidanların Kurşuna Maruz Kalmış Ratlarda Karaciğer, Böbrek ve Beyin Malondialdehit ve Katalaz Düzeylerine Antioksidan Etkileri

Turkiye Klinikleri J Med Sci 2007, 27 1 urşun endüstride yaygın olarak kullanılmakta; insan ve hayvanlarda fizyolojik, biyokimyasal ve davranışsal bozukluklara neden olmaktadır. Kurşun zehirlenmesinin mekanizması prooksidan/antioksidan dengesinin bozulmasından kaynaklanmakta ve bu durumu kurşun dokularda lipidler, proteinler ve DNA gibi kritik moleküller ile etkileşerek oksidatif hasar sonucunda meydana çıkarmaktadır. Daha önceki çalışmalarda oksidatif hasarın, kurşunun dokularda indirekt olarak reaktif oksijen türlerinin artışına neden olması sonucu hücre membranları ile etkileşime girerek lipid peroksidasyonunu başlatması ve hücrelerdeki sülfidrilli antioksidan savunma sisK ORİJİNAL ARAŞTIRMA / ORIGINAL RESEARCH.
Reflect on Your Mistakes ! Lightweight Domain-Specific Error Messages

Embedded domain-specific languages allow the rapid prototyping and development of new languages. Host languages with rich type systems can encode a wide variety of embedded language type systems, leading to the same static safety guarantees that a stand-alone implementation would enjoy. However, the error messages generated by these embedded type systems are notoriously difficult to understand, which can limit the practical utility of safe embedded languages. This paper presents a language feature, called error reflection, that allows EDSL and library authors to customize the display of compiler errors based on reflected representations of these errors. Additionally, error reflection is applicable to other situations in which immediate surface syntax does not correspond to underlying representations.
CO 2 Hydrogenation to Methanol by a Liquid-Phase Process with Alcoholic Solvents : A Techno-Economic Analysis

Synthesis of methanol from recirculated CO2 and H2 produced by water electrolysis allows sustainable production of fuels and chemical storage of energy. Production of renewable methanol has, however, not achieved commercial breakthrough, and novel methods to improve economic feasibility are needed. One possibility is to alter the reaction route to methanol using catalytic alcoholic solvents, which makes the process possible at lower reaction temperatures. To estimate the techno-economic potential of this approach, the feasibilities of the conventional gas-phase process and an alternative liquid-phase process employing 2-butanol or 1-butanol solvents were compared by means of flowsheet modelling and economic analysis. As a result, it was found that despite improved methanol yield, the presence of solvent adds complexity to the process and increases separation costs due to the high volatility of the alcohols and formation of azeotropes. Hydrogen, produced from wind electricity, was the major cost in all processes. The higher cost of the present, non-optimized liquid-phase process is largely explained by the heat required in separation. If this heat could be provided by heat integration, the resulting production costs approach the costs of the gas-phase process. It is concluded that the novel reaction route provides promising possibilities, but new breakthroughs in process synthesis, integration, optimization, and catalysis are needed before the alcoholic solvent approach surpasses the traditional gas-phase process.
Early Years Foundation Stage : A Secondary Analysis of Data from the Growing up in Scotland and Effective Provision of Pre-School Education Reports

The recent introduction of ‘free early education’ entitlement for the most ‘disadvantaged 40% of two year olds’ in the UK (Dfe 2013) represents the latest government policy focussed on ‘closing the gap’ in attainment between children from the most and least wealthy backgrounds. In the context of this, this paper utilises a range of sociological theories to analyse potential understandings of the apparent connections between socio-economic status (SES) and children’s early development, as highlighted by secondary research data from the Effective Provision of Pre-School Education (EPPE) Project (Sylva et al 2004) and the ‘Growing up Scotland’ Report (Anderson et al 2007). The highly positivist methodologies these adopt, plus the unavoidable cultural and social positioning of quantifiable development tests within them is explored. Various theoretical interpretations of the results are explored and an argument made against the adoption of highly deterministic theoretical positions which dismiss the potential for human agency to overcome the potentially negative impacts of social structures. It is then asserted that the introduction of the two year old entitlement offers a renewed opportunity to focus on supporting families, with consideration best placed on ‘what parents do’, not ‘who parents are’ (Kellaghan et al 1993).
Information-theoretic Compression of Weighted Graphs

Set Partitioning Problem (SPP): I given a ground set Ω = {x1, . , xn}, I a collection of admissible subsets P = {X1, . ,Xm} ⊆ 2, I a cost function c : P → R, I find a partition X of Ω using subsets in P and minimising the sum of the costs minX ∑ X∈X c(X ). Complete SPP (CSPP): I All subsets are admissible: P = 2 Bidimensional Complete SPP (CSPP×CSPP): I The ground set is a Cartesian product: Ω = Ω1 × Ω2 I Admissible subsets are all Cartesian products: P = 21 × 22 I In our case: Ω1 = Ω2 = VG , X = E , and c(V1,V2) = comp(V1,V2) + β loss(V1,V2) (see on the right) Optimisation Algorithm: Dynamic programming algorithm (branching, recursion, memoization, non-redundancy) https://github.com/Lamarche-Perrin/optimal_partition
Exploring Embedding and Attention Improvements to BiDAF SQuAD Model

This project aims to improve upon a baseline Bi-Directional Attention Flow model focused on solving the SQuAD question answering task using Non Pre-Trained Contextual Embedding methods. These improvements are targeted primarily at the embedding and attention layers of the current model. In particular three additional models are explored in this research. The first is a BiDAF model with characterlevel embeddings, extending the baseline BiDAF model’s word embedding layer. The second is a BiDAF model with an added self-attention layer based on the R-Net model. The third model is a BiDAF model using a GRU RNN rather than the original LSTM RNN. Beyond individual experimentation on each of these three models, cross-experimentation was done to determine the best performing combination. In the end a character-level embeddings BiDAF model using a GRU RNN achieved the best overall performance.
Quantitative Proteomics Using Formalin-fixed, Paraffin-embedded Biopsy Tissues in Inflammatory Disease

Background: Investigations in human disease pathogenesis have been hampered due to paucity of access to fresh-frozen tissues (FFT) for use in global, data-driven methodologies. As an alternative, formalin-fixed, paraffin-embedded (FFPE) tissues are readily available in pathology banks. However, the use of formalin for fixation can lead to the loss of proteins that appear during inflammation, thus introducing an inherent sample bias. To address this, we compared FF and FFPE tissue proteomics to determine whether FFPE-tissue can be used effectively in inflammatory diseases. Methods: Adjacent kidney slices from lupus nephritic mice were processed as FFPE or FFTs. Their tissue lysates were run together using proteomics workflow involving filter-aided sample preparation, in-solution dimethyl isotope labeling, StageTip fractionation, and nano-LC MS/MS through an Orbitrap XL MS. Results: We report a >97% concordance in protein identification between adjacent FFPE and FFTs in murine lupus nephritic kidneys. Specifically, proteins representing pathways, namely, ‘systemic lupus erythematosus’, ‘interferon-α’, ‘TGF-β’, and ‘extracellular matrix’, were reproducibly quantified between FFPE and FFTs. However, 12%−29% proteins were quantified differently in FFPE compared to FFTs, but the differences were consistent across experiments. In particular, certain proteins represented in pathways, including ‘inflammatory response’ and ‘innate immune system’ were quantified less in FFPE than in FFTs. In a pilot study of human FFPE tissues, we identified proteins relevant to pathogenesis in lupus nephritic kidney biopsies compared to control kidneys. Conclusion: This is the first report of lupus nephritis kidney proteomics using FFPE tissue. We concluded that archived FFPE tissues can be reliably used for proteomic analyses in inflammatory diseases, with a caveat that certain proteins related to immunity and inflammation may be quantified less in FFPE than in FFTs.
Mise au point Endocardites fongiques > Fungal endocarditis

Les endocardites fongiques sont rares ; toutefois, leur incidence est certainement sous-estimée du fait de difficultés de mise en évidence du microorganisme responsable. Auparavant surtout observées chez le sujet porteur d’une valvulopathie ou toxicomane intraveineux, elles concernent actuellement de plus en plus le sujet immunodéprimé, soumis à une antibiothérapie prolongée ou à des procédures invasives. Les endocardites fongiques sont souvent caractérisées par des végétations volumineuses et friables, expliquant l’apparition de complications emboliques dans 60 % des cas. Le diagnostic est porté, selon le microorganisme responsable, sur les hémocultures, l’examen histologique d’emboles ou de valves, et/ou sur les méthodes sérologiques. La place des techniques de biologie moléculaire, de plus en plus développées, reste à définir. Le traitement repose sur une association médicochirurgicale. L’intérêt des nouveaux antifongiques dans cette indication est probablement majeur et mérite d’être évalué. © 2004 Société de réanimation de langue française. Publié par Elsevier SAS. Tous droits réservés.
Large Cluster Approximation to the Finite Mixture Information Matrix with an Application to Meta-Analysis

Finite mixtures have been adopted in a wide range of statistical applications. Their utility comes at a computational cost and a loss of tractability for common inference techniques. The Fisher information matrix (FIM) is often used with maximum likelihood estimation but does not have a simple analytical form in the finite mixture setting. Raim, Neerchal, and Morel (2014, submitted) have recently shown that, in some finite mixture settings, a certain block-diagonal matrix becomes close to the FIM as the sample size increases. This block-diagonal matrix is the FIM of the complete data: the observed data along with a latent indicator of the subpopulation from the mixture from which an observation is drawn. The convergence requires that the sample is “grouped” so that individual observations are known to be drawn from a common subpopulation. One application where this kind of sampling can naturally be justified is meta-analysis. We consider model-based clustering of studies in a meta-analysis to explore the nature of their heterogeneity. A simulation study is presented to illustrate the closeness of the complete data FIM and actual FIM. Use of the complete data FIM is also demonstrated on an example dataset measuring selenium content in nonfat milk powder. We conclude that the complete data FIM can serve as a reasonable approximation to the actual FIM for this kind of application.
Source characterisation and estimation of daily residential exposure to ultrafine particles

Humans, at least in the industrialized part of the world, spend a large part of their lives in their homes, and are hereby subjected to various indoor generated airborne particles, which often dominate the particle concentrations (Wierzbicka, 2008). Most of our knowledge concerning particles of indoor origin and their potential health effects is derived from epidemiological studies based on measurements of outdoor particles. These particles are considered to be the background exposure indoors. There is a need to further investigate the contribution from human activities to concentrations in indoor environments. The aim of this study has been to characterize the air quality in residential dwellings, identify sources of indoor particles (<300 nm) on the basis of residential activities, quantify their source strength and from measurements and detailed log books estimate daily residential exposure levels (concentration*hours per day). For seven consecutive days, time resolved stationary measurements were conducted in randomly selected homes (N=42) in the urban area of Lund in southern Sweden. Number concentrations, and mean diameter of particles <300 nm were monitored with Discmini (University of Applied Sciences, Windisch, CH) and Nanotracer (Philips Aerasense). Since a majority of particles generated by indoor activities are smaller than 100 nm, results from the Nanotracer and Discmini could be considered as good approximations of ultrafine particles. The accuracy of both the Nanotracer and Discmini are ±30% (Asbach et. al., 2012). All measurements were made during off-pollen season (October-April). The instruments were placed centrally in the dwelling, but not in, or close to, the kitchen. CO2 data was collected, by a custom-made instrument from Technical University of Denmark, DTU, and used to calculate air exchange rates based on the ASTM standard (2002). The habitants filled in detailed activity log books, and reported when they were present or absent in the dwelling. A data classification was carried out by sorting the data into two categories: occupancy time (at least one person present in the home) and non-occupancy time. Occupancy time occurred during an average of 77 % of the measurement period. Activities occurred on average 33 % of the occupancy time. Average concentration of particles (<300 nm) during occupancy time was 49000±64000 cm, and during non-occupancy time 6000±4000 cm. The origins of elevated concentrations were identified using the activity logs. Several of the concentration peaks were results of a combination of two or more particle generating activities. 13 different single activities could however be identified as contributing significantly to the indoor air particle concentration (Figure 1). Cooking activities (boiling, frying, oven, microwave oven, toaster, and their combinations) and candle burning were shown to be the major particle sources, contributing to 31 and 26 % of the daily residential exposure, respectively.
THE IMMERSIVE AUDIENCE EXPERIENCE EVALUATION TOOLKIT

This paper introduces the Immersive Audience Experience Evaluation Toolkit, a online questionnaire designed to measure audience perceptions of impact and value of different immersive experiences. Initially created and developed in 2017, the Toolkit has been applied to various immersive media formats and contents such as virtual reality (VR), augmented reality (AR), mixed reality (MR), games and screen-based media. With examples of insights generated for creators and funders of immersive experiences, this paper summarises the need for, development and refinement of the Toolkit. Drawing from audience evaluations with 460 people using 10 different immersive contents, the added value of the Toolkit to the creative industry of further exploring aggregated and comparative ratings is also discussed.
Tratamento da papilomatose canina com Propionibacterium acnes

Propionibacterium acnes as immunostimulant in oral canine papillomatosis treatment in 16 animals was studied. Regression of the pappiloma started being observed after the second aplication, with complete resolution in all dogs after the sixth aplication. These results suggest the use of P. acnes as an alternative in oral canine papillomatosis therapy.
Inhibition of Nox 1 induces apoptosis by attenuating the AKT signaling pathway in oral squamous cell carcinoma cell lines

NADPH oxidases, also known as the Nox family, are major sources of reactive oxygen species generation that regulate redox-sensitive signaling pathways. Recent studies have implicated the Nox family in cancer development and progression. However, the involvement of its members in the development of oral squamous cell carcinoma (OSCC) remains to be elucidated. To clarify this issue, we first analyzed mRNA expression of Nox/Duox family members (Nox1, Nox2, Nox3, Nox4, Nox5, Duox1 and Duox2) in five OSCC cell lines. Nox1 and Nox4 mRNAs were highly expressed in four OSCC cell lines. Western blot analysis revealed that the protein expression level of Nox1 was higher than that of Nox4 in the OSCC cell lines. In addition, knockdown of Nox1, but not Nox4, significantly suppressed cell viability and induced apoptosis in the HSC-2 and HSC-3 cells. We also found that a specific AKT inhibitor, perifosine, dose-dependently suppressed OSCC cell growth. Notably, Nox1 knockdown significantly attenuated the phosphorylation level of AKT. Furthermore, both Nox1 knockdown and perifosine treatment markedly enhanced the cisplatin-induced cytotoxic effect. Taken together, our results highlight that the Nox1/AKT signaling pathway plays an important role in cell survival in OSCC cells.