Miracle-dz/UniFAR-FTUs huggingface dataset:
Projective reconstruction from curve correspondences in uncalibrated views

This paper presents algorithms for stereo reconstruction from uncalibrated binocular stereo views using correspondences of curves between the two images. We mainly consider curves which are projections of planar 3-D curves although some of our methods work without this restriction as well. First a brief description of reconstruction algorithms based on point correspondences is given. Then we introduce a coordinate system which is invariant to the unknown camera parameters. Compared to similar constructions reported in the literature our method has the advantage that no restrictions concerning the relative position of the cameras (e.g. parallel optical axes) are necessary. Using this coordinate system we show how to reduce the reconstruction from conic correspondences to the point based case. Next the case of general curves is considered. By applying a simple tangent construction we obtain for a given pair of corresponding curves at least two pairs of matching curve points. By fitting at these points an osculating conic we get pairs of matching conics which reduces the problem to conics based stereo reconstruction. All these algorithms rely on the assumption that the epipolar geometry (encoded in the fundamental matrix) is known. We discuss how to recover the epipolar geometry from conic correspondences. The appendix contains some useful results concerning normal forms of pairs of conics.
Câncer de colo uterino: caracterização das mulheres em um município do sul do Brasil

Este estudo objetivou identificar e analisar caracteristicas socioeconomicas, comportamentais e biologicas de mulheres com câncer de colo uterino que utilizaram os servicos publicos de saude em um municipio do sul do Brasil. Trata-se de um estudo qualitativo com vinte mulheres com diagnostico de câncer de colo uterino. A pesquisa teve como suporte teorico a integralidade da atencao a saude. Para coleta dos dados, utilizamos as informacoes do Sistema de Informacoes do Câncer do Colo do Utero e entrevista semiestruturada. Foram identificadas caracteristicas de faixa etaria, escolaridade, frequencia a consulta medica e intervalo de realizacao do exame preventivo. Os achados mostram que as mulheres ainda apresentam dificuldade em considerar a importância do pre-câncer para deteccao precoce e prevencao do câncer de colo uterino. O desafio para o alcance da integralidade esta na necessidade de repensar saberes e praticas profissionais no cuidado as mulheres, independente do motivo que as levou ao servico de saude.
Development of hydrophobic concrete by adding dual‐crystalline admixture at mixing stage

A novel approach has been presented to add a dual‐crystalline hydrophobic admixture in fresh concrete for improving hydrophobicity against chloride and harmful chemicals. Dual‐crystalline material can utilize water of the fresh concrete to form crystals, but the challenge is to maintain adequate hydration and strength while improving hydrophobicity. This study presents the results from a comprehensive laboratory investigation on the application of 1, 2 and 8% of crystallizing aqueous and cementitious hydrophobic mineral in fresh concrete. Despite the high slump in the fresh mixture, no segregation was observed in the matured concrete. There was a marginal reduction of strength when a high percentage of admixture was used. Despite this, significant reduction of water absorption was observed indicating greater hydrophobicity. The optimum performance was found in mixtures with 2% admixture. Mixture with 2% aqueous hydrophobic admixture revealed marginal strength gain compared to 2% crystalline cementitious hydrophobic admixture, although water protection appears to be better in cementitious mixture.
Developing a Design Science Based Decision Support Framework for Detailed Design of a Warehouse

Problem description: Warehouses and warehousing operations are often considered as some of the most crucial elements in a company's supply chain, and often stand for more than 20 percent of a company’s total logistics costs. The actual size of these costs are, together with most of the costs related to warehouse operations, mainly consequences of the decisions made when designing the warehouse. The design of warehouses should therefore be considered as a critical component for any company striving towards increased competitiveness and a more efficient supply chain. When designing a warehouse several aspects have to be considered, including location and size of aisles, P/D location, picking zones, storage assignment and many more. These aspects are often interdependent, thereby making it almost impossible to find an optimal solution to the layout design problem. A structured approach towards decision making is therefore needed. Purpose: The purpose of this thesis is to develop a decision support framework by combining warehousing theory with the methodology of design science. By using design science, the focus of the research shifts from theoretical knowledge creation towards a more problem solving oriented approach, enabling the user to consider several interdependent aspects by the use of iterative processes. Research questions: How can a decision support framework for the detailed design of a warehouse be conceived by utilizing established warehouse theory in combination with design science? And, can the proposed framework enhance the ability to pursue the warehousing strategy at the case company by improving the physical layout and related processes? Methodology: By studying research within the fields of both warehousing and design science, frameworks related to both of the topics were established. The design science research framework combines the viewpoints of current research and puts it in a warehouse design context. This framework was then combined with modules, consisting of key topics from the warehousing literature study, in order to create the decision support framework. The framework was then applied to the situation at BorgWarner Sweden AB using a single case study research strategy. Conclusion: The module based approach used in the decision support framework provides several benefits when merging the concepts of warehousing and design science. The iterative design science methodology needs clearly structured definitions and limitations, which is given by the different modules of the framework. It can also be concluded that, as seen by the case study, the use of the decision support framework resulted in an improved detailed layout that are in line with the strategy of the case company.
Low Carbon Energy Transitions in the Nordic Countries: Evidence from the Environmental Kuznets Curve

Low carbon energy transitions are important to mitigate climate change, reduce air pollution, and reduce fossil fuel resource depletion. The Nordic countries (Denmark, Finland, Iceland, Norway, Sweden) are seen as leaders in low carbon energy transitions. This paper provides a comparative data analysis of low carbon energy transitions in the Nordic countries from the 1960s to 2015, and assesses evidence of the Environmental Kuznets Curve (EKC). The paper finds that the EKC has been observed in Denmark, Iceland, and Sweden in terms of total CO2 emissions, but not in Norway and Finland. For per capita CO2 emissions, there is evidence for the EKC in Denmark, Finland, Iceland, and Sweden, but not for Norway. For energy use per capita, the EKC is only observed for Denmark, while improvements are needed for the other countries. Norway is an outlier, in comparison with the other Nordic countries, hence the country should implement more stringent climate change mitigation policies to reduce its emissions. Overall, the research suggests that the Nordic countries, particularly Denmark, Iceland, and Sweden, can provide valuable lessons for national, regional, and global low carbon energy transitions.
İzmit depreminde hospitalize edilen depremzede çocuk ve ergenlerin klinik özellikleri

Amac: Bu calismada izmit depreminde enkaz altindan cikarilarak Marmara Universitesi Tip Fakultesi Hastanesi 'nde hospitalize edilen depremzede cocuk ve ergenlerin yasadiklari agir travmanin olusturdugu ruhsal tepkileri ve psikopatolojiyi degerlendirmektir. Yontem: Hospitalize edilen 49 depremzede cocuk ve ergenden dosyalarina ulasilabilen 21 olgunun yas, cinsiyet, yakinmalar ve tani acisindan dosyalari retrospektif olarak degerlendirilip veriler toplanmistir. Ruhsal belirtiler DSM-IV tani kriterlerine gore degerlendirilmis, veriler ki-kare, Mann-Whitney U testi ile hesaplanmistir. Grup sayilarinin istatistik hesaplamalar icin yeterli olmadigi durumlarda sonuclar % olarak verilmis, 'egilim' olarak degerlendirilmistir. Sonuc: Depremzede cocuklarin buyuk bir bolumunun akut stres bozuklugu veya buna benzer semptom kumesi gosterdigi yapilan ilk degerlen-dirme ve izlemde saptanmistir. Istatiksiksel olarak anlamli fark bulunmasa da, bazi ruhsal belirtilerin kizlarda daha cok goruldugu saptanmistir. Agir fiziksel travmaya maruz kalan cocuklarda uykusuzluk (X2=3.82, df=l, p=0.03) ve agri (X2=5.96, df=l, p=0.06) daha yuksek oranda bulunmustur. Enkaz altinda kalma suresi arttikca duygusal izolasyon (Mann-Whitney U=22.500, p=0.032) artmaktadir. Tartisma: Agir fiziksel ve ruhsal travmalardan hemen sonra akut stres bozuklugu (ASB) her yasta gorulebilmektedir. Arastirma grubumuzdaki cocuklarin hepsinde bu belirtiler saptanmistir. Şiddetli fiziksel ve ruhsal travma olan enkaz altinda kalma suresi arttikca depremi yeniden yasama hissi, duygusal izolasyon artmakta, enkaz altinda kalis suresinin psikopatoloji icin basli basina risk faktoru olabilecegini dusundurmektedir. Bazi ruhsal belirtilerin sayi olarak kizlarda daha fazla bulunmasi ile, travmadan cok sonraki yillarda depresyon, anksiyete bozuklugu gibi psikopatolojilerin kizlarda daha sik oranda gorulmesi arasindaki iliski, izleme calismalari ile aydinlatilmalidir.
Contaminated Sources of ‘ready-to-eat’ and ‘raw’ foods and their health risks to the Public in Ethiopia

The study was carried out from December 2010 to June 2011 to determine the hygienic and sanitary conditions on the available cafeterias, restaurants, juice houses, supermarkets, and food handlers of Mekelle city. Using the standardized pre-tested questionnaire and observational check list, data was collected from a total of 510 catering establishments. Microbiological examination of 260 food samples indicated that food provided to the consumers in the city was less hygienic and had prepared under poor sanitation conditions. General hygiene of food handlers, sanitary facilities of food establishments, physical conditions of food catering establishments, disposal services, legal licensing and environmental hygiene were identified as major sanitary deficiencies. Less understanding in food hygiene among food handlers were also commonly observed. High mean values of bacterial load were found in mayonnaise (2.64 × 10 6 ) among the food samples taken from the supermarkets and 2.89 × 10 6 bacterial load was found in samples from restaurants. The bacteriological swab tests of food utensils confirmed the gross unhygienic condition of food offered to the consumers. Pathogens such as Salmonella spp. , Shigella spp. and Escherichia coli were the main identified organisms in the catering establishments. It is concluded that the sanitary conditions of studied subjects required strict follow up for the provisions of sanitary codes. Periodic sanitary-hygienic evaluation and inspection of catering establishments should be strengthened to reduce public health hazards. Data analyzed Statistical Package Social statistical package (SPSS, Descriptive statistics such as means and frequencies were used to present the findings. To answer the question of whether or not there is a significant correlation between the selected parameters and inspection of catering establishments by sanitarian, we conducted two-sided Fisher’s exact test using the cross tabulation feature of the software. Univariable logistic regression was applied to measure the strength of that association or to calculate OR. P<0.05 was taken as significant.
Stability of asymptotic properties of Hille-yosida operators under perturbations and retarded differential equations

We give conditions on the strongly continuous semigroup (T 0(t)) t≥0, generated by the part of a Hille-Yosida operator A on X 0 := D(A), and a non-autonomous family of operators (B(t)) t≥0 such that the evolution family (U(t,s)) t≥s≥0, generated by the part of (A + B(t)) t≥0 in X 0, inherits some asymptotic properties of (T 0(t)) t≥0 as boundedness, asymptotic almost periodicity, uniform ergodicity and total uniform ergodicity. Our main result is obtained via an extended result of Batty-Chill [7], which we prove here. We illustrate our abstract hypotheses and results by an example from population dynamics. Also, an application to non-autonomous retarded differential equations is given.
RUPTURE OF THE UTERUS IN EAST AFRICA

vious Caesarean section; z cases. In this series of 33 cases, a more detailed Groufi 6. Spontaneous rupture in vertex account of which has been submitted to the presentation; cases. This group was subEast African Medical Jozlnzal, rupture of divided follows : the uterus presented itself as follows: (I) Rupture before admission. Group I. Rupture of uterus discovered (2) SPontaneous rupture in hospital. on admission ; presentation before rupture (3) SPontaneous rupture in hospital not ascertainable; 11 cases. associated with subtertian malaria. These patients were brought to hospital (4) Spontaneous rupture causing V m P by ambulance, as emergencies occurring in toms after normal delivery of live the course of labour. baby and placenta at home.
Immune Escape Associated with RBD Omicron Mutations and SARS-CoV-2 Evolution Dynamics

The evolution and the emergence of new mutations of viruses affect their transmissibility and/or pathogenicity features, depending on different evolutionary scenarios of virus adaptation to the host. A typical trade-off scenario of SARS-CoV-2 evolution has been proposed, which leads to the appearance of an Omicron strain with lowered lethality, yet enhanced transmissibility. This direction of evolution might be partly explained by virus adaptation to therapeutic agents and enhanced escape from vaccine-induced and natural immunity formed by other SARS-CoV-2 strains. Omicron’s high mutation rate in the Spike protein, as well as its previously described high genome mutation rate (Kandeel et al., 2021), revealed a gap between it and other SARS-CoV-2 strains, indicating the absence of a transitional evolutionary form to the Omicron strain. Therefore, Omicron has emerged as a new serotype divergent from the evolutionary lineage of other SARS-CoV-2 strains. Omicron is a rapidly evolving variant of high concern, whose new subvariants continue to manifest. Its further understanding and the further monitoring of key mutations that provide virus immune escape and/or high affinity towards the receptor could be useful for vaccine and therapeutic development in order to control the evolutionary direction of the COVID-19 pandemic.
Bird detection and species classification with time‐lapse images around a wind farm: Dataset construction and evaluation

Collisions of birds, especially endangered species, with wind turbines is a major environmental concern. Automatic bird monitoring can be of aid in resolving the issue, particularly in environmental risk assessments and real-time collision avoidance. For automatic recognition of birds in images, a clean, detailed, and realistic dataset to learn features and classifiers is crucial for any machine-learning-based method. Here, we constructed a bird image dataset that is derived from the actual environment of a wind farm and that is useful for examining realistic challenges in bird recognition in practice. It consists of high-resolution images covering a wide monitoring area around a turbine. The birds captured in these images are at relatively low resolution and are hierarchically labeled by experts for fine-grained species classification. We conducted evaluations of state-of-the-art image recognition methods by using this dataset. The evaluations revealed that a deep-learning-based method and a simpler traditional learning method were almost equally successful at detection, while the former captures more generalized features. The most promising results were provided by the deep-learning-based method in classification. The best methods in our experiments recorded a 0.98 true positive rate for bird detection at a false positive rate of 0.05 and a 0.85 true positive rate for species classification at a false positive rate of 0.1.
A variational Bayesian approach to identifying whole-brain directed networks with fMRI data

The brain is a high-dimensional directed network system as it consists of many regions as network nodes that exert inﬂuence on each other. The directed inﬂuence exerted by one region on another is referred to as directed connectivity. We aim to reveal whole-brain directed networks based on resting-state functional magnetic resonance imaging (fMRI) data of many subjects. However, it is both statistically and computationally challenging to produce scientiﬁcally meaningful estimates of whole-brain directed networks. To address the statistical modeling challenge, we assume modular brain networks, which re-ﬂect functional specialization and functional integration of the brain. We address the computational challenge by developing a variational Bayesian method to estimate the new model. We apply our method to resting-state fMRI data of many subjects and identify modules and directed connections in whole-brain directed networks. The identiﬁed modules are accordant with functional brain systems specialized for different functions. We also detect directed connections between functionally specialized modules, which is not attainable by existing network methods based on functional connectivity. In summary, this paper presents a new computationally efﬁcient and ﬂexible method for directed network studies of the brain as well as new scientiﬁc ﬁndings regarding the functional organization of the human brain.
Nasal Mucosa Exploited by SARS-CoV-2 for Replicating and Shedding during Reinfection

Reinfection risk is a great concern with regard to the COVID-19 pandemic because a large proportion of the population has recovered from an initial infection, and previous reports found that primary exposure to SARS-CoV-2 protects against reinfection in rhesus macaques without viral presence and pathological injury; however, a high possibility for reinfection at the current stage of the pandemic has been proven. We found the reinfection of SARS-CoV-2 in Syrian hamsters with continuous viral shedding in the upper respiratory tracts and few injuries in the lung, and nasal mucosa was exploited by SARS-CoV-2 for replication and shedding during reinfection; meanwhile, no viral replication or enhanced damage was observed in the lower respiratory tracts. Consistent with the mild phenotype in the reinfection, increases in mRNA levels in cytokines and chemokines in the nasal mucosa but only slight increases in the lung were found. Notably, the high levels of neutralizing antibodies in serum could not prevent reinfection in hamsters but may play roles in benefitting the lung recovery and symptom relief of COVID-19. In summary, Syrian hamsters could be reinfected by SARS-CoV-2 with mild symptoms but with obvious viral shedding and replication, and both convalescent and vaccinated patients should be wary of the transmission and reinfection of SARS-CoV-2.
Contribution of higher-order nonlinearity to nonlinear ion-acoustic waves in a weakly relativistic warm plasma. Part 1. Isothermal case

The contribution of higher-order nonlinearity to nonlinear ion-acoustic waves in a weakly relativistic plasma consisting of warm ion-fluid and hot isothermal electrons is investigated using reductive perturbation theory. A Korteweg-de Vries-type equation, with temperature- and relativistic-parameter-dependent coefficients is obtained. The renormalization method is applied to the equations obtained from the different orders of perturbation theory to obtain a stationary solution. Relativistic cold and non-relativistic warm plasma limits are considered in order to make comparisons with previous results.
Effect of different edible coating materials on quality and shelf life of guava ( Psidium guajava L.) cv. L- 49

The present investigation was to study the suitable edible coating material and their concentration and shelf-life evaluation of guava fruits. An experiment comprised of 10 treatments consisting of post-harvest treatments of chitosan (0.5, 1, 2, 2.5 %), aloe-vera gel 100%, coconut oil 100%, olive oil 100% and control. Among all treatments T 1 (Coconut oil 100%) recorded significantly higher marketable fruit retained percentage (87.55%), Specific gravity (0.82%), fruit volume (125.80 ml), fruit length and diameter (6.21, 6.56 cm), respectively during storage period compared to other treatments. It can be conclude that use of 100% coconut oil can improve the shelf life of guava fruits in ambient storage condition.
INTERNATIONAL MONETARY FUND Shocks to Inflation Expectations

The consensus among central bankers is that higher inflation expectations can drive up inflation today, requiring tighter policy. We assess this by devising a novel method for identifying shocks to inflation expectations, estimating a semi-structural VAR where an expectation shock is identified as that which causes measured expectations to diverge from rationality. Using data for the United States, we find that a positive inflation expectations shock is deflationary and contractionary: inflation, output, and interest rates all fall. These results are inconsistent with the standard New Keynesian model, which predicts inflation and interest rate hikes. We discuss possible resolutions to this new puzzle. JEL Classification Numbers: D84, E31, E32, E52
THE SLOPE OF THE PHILLIPS CURVE: EVIDENCE FROM U.S. STATES

We estimate the slope of the Phillips curve in the cross section of U.S. states using newly constructed state-level price indices for nontradeable goods back to 1978. Our estimates indicate that the slope of the Phillips curve is small and was small even during the early 1980s. We estimate only a modest decline in the slope of the Phillips curve since the 1980s. We use a multiregion model to infer the slope of the aggregate Phillips curve from our regional estimates. Applying our estimates to recent unemployment dynamics yields essentially no missing disinﬂation or missing reinﬂation over the past few business cycles. Our results imply that the sharp drop in core inﬂation in the early 1980s was mostly due to shifting expectations about long-run monetary policy as opposed to a steep Phillips curve, and the greater stability of inﬂation between 1990 and 2020 is mostly due to long-run inﬂation expectations becoming more ﬁrmly anchored. JEL Codes: E30. This same type of lack of comparability arises in some cases for different estimates based on aggregate data. Some researchers use longer-term inﬂation expectations, one-period-ahead inﬂation expectations, to proxy for E t π N t + 1 when estimating the Phillips curve using aggregate data. Our analysis shows, however, that when researchers use data on long-term inﬂation expectations, they (perhaps end up estimating ψ , not κ . To compare such estimates with those based on a speciﬁcation that controls for one-period-ahead expectations, one must translate between the two, for example, by the formula = or a version of this formula appropriate for (say) 10-years-ahead inﬂation expectations.