Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of antibiotic resistance in clinical isolates of Klebsiella pneumoniae in Denmark

Klebsiella pneumoniae (KP) is a major global health problem as it leads to hospital outbreaks all over the world and is becoming more difficult to treat due to its increasing antimicrobial resistance (AMR). Optimization and development of new treatments of KP requires understanding of its population structure and AMR properties. Therefore, in this study, we collected and sequenced 491 KP strains from four major Danish microbiology departments covering 51% of the Danish population. The isolates were whole genome sequenced (WGS), phenotypically characterized and compared with 2,124 KP strains from 13 different countries (PATRIC strains). We found that while genomic content varies significantly across the Danish strains, they also differ significantly from strains from other countries, due to the lack of certain AMR sequence types (e.g. ST258 and ST307) in Denmark. Genomic and experimental analysis suggest that Danish strains contain fewer virulence mechanisms and are more susceptible to antimicrobials compared to strains from other countries, likely due to the relatively low antibiotic usage in Denmark where 70% of hospital antibiotic usage is penicillins. We also identified potential novel AMR determinants to tigecycline through statistical analysis of genomic and phenotypic data. To conclude, we obtained a more comprehensive understanding of the KP strains in Denmark and provided valuable insights for future experiments and strategies to combat AMR in KP.
Wide-stopband microstrip low-pass filter using modified semi-circle patch resonator

In this article, a compact microstrip low-pass filter with elliptic-function response is proposed. To achieve wide stopband, modified semi-circle patch resonator in series with semi-circle stepped impedance resonator is used. The proposed structure achieves a wide stopband and a high selectivity within a small circuit area. The proposed filter has 3-dB cutoff frequency at 1.71 GHz and 20 dB rejection at 2.1 GHz. The stopband with the attenuation level better than −18.7 dB is from 2.08 up to 16 GHz, and consequently we have reached the high and wide rejection in stopband as well as compact size. The structure is simulated, fabricated and measured. The measured results are in good agreement with the simulated results.
Lesson Design for Formative Assessment

The potential power of formative assessment to enhance student learning is clear from research. This, however, demands a different learning culture and a broader range of teaching approaches than are found in most mathematics classrooms. Earlier efforts to introduce formative assessment for learning have focused on teacher professional development. Here we describe a major project that explores how this change may be stimulated and supported by teaching materials that embody the principles of formative assessment. We describe the design challenges we faced, the previous research and development experience we drew upon, and the principles that directed our designs. We illustrate these elements with examples of the products themselves, some outcomes and lessons learned.
Bryum klinggraeffii and Philonotis marchica – new to the bryoflora of Croatia

Abstract: Rimac, A. , Alegro, A. , Šegota, V. , Koletić, N. & Papp, B. 2021. Bryum klinggraeffii and Philonotis marchica – new to the bryoflora of Croatia. – Herzogia 34: 255 –266. Two new records for the still quite underexplored Croatian bryophyte flora are presented. The ephemeral colonist Bryum klinggraeffii was recorded in pioneer dwarf-cyperaceous vegetation along sandy banks of two lowland watercourses of Central and Eastern Croatia (Continental Biogeographical Region), while turfs of Philonotis marchica were found on submerged and exposed carbonate rocks in a fast-flowing karstic river in the mountainous region of Gorski Kotar (Alpine Biogeographical Region). Here we provide a detailed description of ecological conditions and a vegetation account for all sites of occurrence of these species in Croatia. These findings of quite rare species, especially P. marchica, which is listed as endangered on European level, also represent a valuable contribution to the bryoflora of Southeast Europe, the European region with the greatest deficit in knowledge of bryophytes.
Detailed modelling of the wind comfort in a city avenue at the pedestrian level

The interrelations between microclimatic conditions and urban morphology determine the comfort of pedestrians in a city. This work evaluates the wind comfort, based on international criteria, in a 1.1 km long avenue. For this purpose the CFD model Fluent was applied. 3D virtual simulation domain was constructed from GIS file of the area using a CAD tool. Results show a very complex wind flow in this urban canyon, as a result of its architectural characteristics and relative wind direction. The orientation of the canyon relative to the prevailing wind direction, its configuration (namely its aspect ratio), the presence of tall buildings in the edge of the avenue, and the absence of trees, induce a swirling flow that increases in speed along its length, as a typical channelling effect. As a consequence, comfort conditions are very distinct in the different sections of the avenue. Based on this work, the areas that do not meet the comfort criterion were identified, supporting the implementation of adequate mitigation measures (as natural or artificial windbreakers).
A practice perspective on organizational implementation of information technology

Abstract The organizational implementation of an information technology begins with the idea of a new information system and ends when it is no longer in the focus of attention. It is a slow and convoluted process that affects all members of the organization. Use of new information technology is expected to have a direct impact on work processes and everyday organizing of the work. However, information technology can be taken into use in various ways. This study examines the organizational implementation of an information system for managing home care visits. Personal digital assistants (PDAs) with client information were used for recording visit starts, endings, and special services. This study explores the changes in work practices during the organizational implementation of the information system and how this transformation affected the workers. First, a practice perspective approach to the organizational implementation is developed. With this approach, work practices are defined as enacted, as a lived experience, where actions are informed by shared technologies, projects, identities, and interests. Work practices are embedded and routinized within the sociomaterial boundaries of working, and organizational power is manifested in the enacted practices. This longitudinal ethnographic study followed the organizational implementation of the PDAs during 2001-2004. The care workers were repeatedly observed as they visited their clients and interacted with each other. They were also interviewed in order to attain a more detailed view of the rationalities both at work and in the implementation project. Related documents provided one more data source. With the data, from the practice perspective, the issues of the organizational implementation and change were scrutinized, as well as related themes of organizational power, control, and work identity. The study shows how the new technology was gradually fitted into the home care after the initial resistance. During this organizational implementation, work practices and attitudes previously taken for granted were questioned as the material environment was transformed. The practice perspective approach emphasizes the workers as agents of change without marginalizing them. The contributions to practice propose realistic implementation goals, importance of peer support and feedback, and acceptance of the unexpected.
Tessarine and Quaternion-Valued Deep Neural Networks for Image Classification

Many image processing and analysis tasks are performed with deep neural networks. Although the vast majority of advances have been made with real numbers, recent works have shown that complex and hypercomplex-valued networks may achieve better results. In this paper, we address quaternion-valued and introduce tessarine-valued deep neural networks, including tessarine-valued 2D convolutions. We also address initialization schemes and hypercomplex batch normalization. Finally, a tessarine-valued ResNet model with hypercomplex batch normalization outperformed the corresponding real and quaternion-valued networks on the CIFAR dataset.
Gait-Skeleton: Skeleton Based Convolutional Neural Network Gait Recognition

Gait recognition is an image/video-based biometric approach used to determine the identity of individuals according to their style of walk, the direction of walk, or the manner of the walk. The efficiency of gait recognition is often impaired by covarying conditions like changes in clothing, angle of view, and carriage condition. Most of the methods for gait recognition depict a person using silhouette images in every frame, which is under the Appearance-based approach. However, pictures of silhouettes will lack fine grains and most papers fail to acknowledge how these figures are obtained in complicated scenes. Moreover, silhouette pictures not only include gait features, but also other visual clues. However, this method cannot be treated as the best recognition of the gait. Another method is called the Model-Based approach where we utilize the RGB images to generate skeletons over the images to recognize the gait patterns most efficiently. Here, we propose Gait-Skeleton with the combination of Convolutional Neural Network (CNN) in order to achieve a contemporary model-based technique for gait recognition. The primary benefits are a smoother, smarter extraction of the gait features and the ability to integrate strong spatial modelling with CNN. The famous CASIA-B data set experiments demonstrate that our technique archives the finest in model-based gait recognition performance.
An RFID-based digital warehouse management system in the tobacco industry: a case study

This paper proposes a digital warehouse management system (DWMS) in the tobacco industry based on radio frequency identification (RFID) technology. The DWMS helps warehouse managers to achieve better inventory control, as well as to improve the operation efficiency. In this system, a set of basic events and storage/retrieval rules are defined as event-condition-action (ECA) rules to improve the feasibility and flexibility of DWMS. By using RFID technology, the DWMS enables a plane warehouse to achieve visualised inventory management, automatic storage/retrieval assignment and high accuracy of inventory control as an automatic warehouse. A case in the tobacco industry is studied to illustrate the feasibility and rationality of the proposed system. Based on the ECA rules, a storage/retrieval methodology is proposed to improve the storage/retrieval operations. The results of this case study illustrate that RFID-DWMS can help a plane warehouse to improve operation efficiency, enhance the utilisation of warehouse capacity, increase inventory accuracy and reduce manpower and loading time significantly.
Real-Time Model for Optimal Water Allocation in Irrigation Systems during Droughts

AbstractThe agricultural sector is the main victim of drought and efficient water planning, and management is the best strategy to reduce drought pressures on this sector. One operational approach is the application of real-time models to help water managers decide on mitigation measures, such as deficient irrigation or reducing cropped areas using the new incoming information (for example, recorded inflows and precipitation). The present paper introduces a real-time modeling approach for optimal water allocation during a drought. The model includes two main components: forecasting and optimization modules. The forecasting module uses a recurrent neural network technique to forecast annual inflows that is updated as monthly climate and hydrological data are introduced to the model. The optimization module allocates water among the irrigation units and their crops by considering growing stage, sensitivity to water stress at different stages, available/forecasted water, and previous decisions about water re.
Analysis of Depth and Semantic Mask for Perceiving a Physical Environment Using Virtual Samples Generated by a GAN

Micro aerial vehicles (MAVs) can make explorations in 3D environments using technologies capable of perceiving the environment to map and estimate the location of objects that could cause collisions, such as Simultaneous Localization and Mapping (SLAM). Nevertheless, the agent needs to move during the environment mapping, reducing the flying time to employ additional activities. It has to be noted that adding more devices (sensors) to MAVs implies more power consumption. Since more energy to perform tasks is required, growing the dimensions of MAVs limits the flying time. Contrarily, Generative Adversarial Networks (GAN) have demonstrated the usefulness of creating images from one domain to another, but the GAN domain changes require a large number of samples. Therefore, an interoperability coefficient is employed to determine a minimum number of samples to connect the different domains. In order to prove the coefficient, the performance to estimate the depth and semantic mask between authentic and virtual samples with the number limited of samples is analyzed. Consequently, an RGB-D sensor can be replaced by a few samples of a real scenario based on GANs. Although GAN allows creating images with depth and semantic mask information, there is an additional problem to be tackled: the presence of intrinsic noise, where a simple GAN architecture is not enough. In this proposal, the performance of this solution against a physical RGB-D sensor (Microsoft Kinect V1) and other state-of-the-art approaches is compared. Experimental results allow us to affirm that this proposal is a viable option to replace a physical RGB-D sensor with limited information.
Handling uncertainty through Bayesian inference for Species Distribution Modelling in the Amazon Basin region

Uma das ferramentas mais utilizadas para o monitoramento da biodiversidade é a modelagem de distribuição de espécies. Para a sua aplicação, é necessário possuir uma grande base de dados confiáveis a respeito da ocorrência de espécies. Entretanto, essa condição não é satisfeita quando existem poucos registros de ocorrência. Nesse contexto, podem ser aplicadas técnicas de tratamento de incertezas. Assim, este trabalho buscou utilizar a abordagem Bayesiana para permitir a modelagem de distribuição de espécies na região da Bacia Amazônica próxima a Manaus (AM), com base em dados coletados pelo projeto GoAmazon 2014/15. Os resultados foram comparados com os resultantes de técnicas clássicas, obtendo desempenhos semelhantes.
Role of Folate and Folic Acid During Pregnancy

Abstract: Pregnancy represents a period of fast tissue growth of maternal and foetal tissues that's related to enhanced energy and nutrient needs. Maternal nutrition throughout gestation period, has being essential for best offspring development, reducing long unwellness burden and for general health throughout life. Maternal Folate throughout pregnancy might have numerous roles in offspring health, as well as neurodevelopment and psychological feature performance in childhood. Folate is crucial for C1 metabolism, a network of pathways concerned in many biological processes as well as nucleotide synthesis, deoxyribonucleic acid repair and methylation reactions. The periconceptional use of pteroylglutamic acid (Folic Acid ) containing supplements reduces the primary incidence, as well as recurrence of neural tube defects. Folic Acid (FA) are artificial form of a necessary vitamin generically considered Folates or B9. It is concerned in one-carbon metabolism, and it's been connected to lowering neural tube Defect (NTD). National programs to mandate fortification of food with Folic Acid have reduced the prevalence of NTDs worldwide . The indisputable protecting role of Folic Acid in the hindrance of NTD, in addition to the low compliance of women to Folic Acid recommendations, has aroused the choice of mandatory Folic Acid fortification, a policy currently in place in over eighty countries worldwide. Mandatory food fortification needs food makers to feature Folic Acid to certain foods (e.g. starch or grain products), whereas voluntary fortification permits Folic Acid to be added to foods at the discretion of manufacturers. Food fortification with Folic Acid because the intervention is likely to achieve increasing Folic Acid intake among populations throughout the world. The objective of this article is to discuss the Role of Folic Acid and Folate during pregnancy and to review the role of Folate and Folic Acid , metabolism , absorption and Folic Acid effects on maternal on the basis of recent findings that are important for implementation of fortified food to design future studies. Keywords: Neurodevelopment, Methylation Reactions, Pteroylglutamic Acid, Bioavailability, Monoglutamates.
Full complex spectrum simultaneous obtaining SD-OCT

An efficient technique of simultaneous obtaining of quadrature spectral components of interference signal in spectrometer-based OCT is proposed. The components are obtained in air-spaced non-polarization interferometer by partition of reference beam onto two parts and using an achromatic phase shifter. Several setups of phase sifter are described and compared.
Tolerability of long-term temperature controlled whole-body thermal treatment in advanced cancer-bearing dogs

Abstract Aim: In oncology, thermal therapy is the application of external heat to fight cancer cells. The goal of whole-body thermal treatment (WBTT) is to raise the patient’s core temperature to 39–42 °C, and represents the only thermal treatment modality that can act on both the primary tumor and distant metastases. However, WBTT carries potential risks for toxicity when applied without accurate thermometry and monitoring. Methods: ElmediX has developed a medical device, HyperTherm, to deliver long-term controlled and accurate WBTT (41.5 °C, up to 8 h). The safety of the device and thermal treatment protocol was initially evaluated in minipigs, and we present the confirmation of tolerability of WBTT in dogs with advanced cancer, in combination with a reduced dose of radiotherapy or chemotherapy. Results: Thermometry in liver, rectum, and tumor confirmed a homogeneous heating of these body parts. Monitoring of clinical parameters showed acceptable and reversible changes in liver, cardiac, muscle and coagulation parameters, as was expected. Combination of WBTT with both radiotherapy and chemotherapy only caused some low-grade adverse events. Conclusion: We conclude that our findings support the safe use of HyperTherm-mediated WBTT for canine patients with advanced malignancies. They also tend to support a genuine therapeutic potential for long-term WBTT which needs to be confirmed on a larger dog patient population. Combined with previously reported safety results in minipigs, these contribute to support the ongoing clinical evaluation of WBTT in advanced human cancer patients.
Factors Influencing Bicycle Crash Severity on Two-Lane, Undivided Roadways in North Carolina

Concern over crashes involving bicycles and motor vehicles is largely due to the severity of injuries. The impacts of physical and environmental factors on the severity of injury to bicyclists are examined. North Carolina Highway Safety Information System crash and inventory data for state-controlled, two-lane, undivided roadways are analyzed. The injury severity distribution, measured on the KABCO scale, is as follows: no injury, 1.8 percent; complaint of pain, 24.4 percent; nonincapacitating injury, 42.5 percent; incapacitating injury, 25.5 percent; and fatal injury, 5.9 percent. The total number of involvements in this data set was 1,025, with a majority of the involvements occurring outside urbanized areas (80.5 percent). Using the ordered probit model, the effect of a set of roadway, environmental, and crash variables on injury severity is explored. Variables that significantly increase injury severity include straight grades, curved grades, darkness, fog, and speed limit. Higher average annual daily traffic, an interaction of speed limit and shoulder-width variables, and dark conditions with street lighting significantly lower injury severity. Separate models are estimated for rural and urban locations. Marginal effects of each factor on the likelihood of each injury-severity class are reported. Policy implications and possible countermeasures are then discussed.
Facilitating effective, geographically distributed engineering design teams

With recent advances in technology, computer-mediated communications (CMC) are beginning to facilitate effective interactions of geographically distributed scientific research and engineering design teams. However, changes in both the technology and culture are likely necessary for CMC to realize its potential, and a project at Syracuse and Cornell Universities is being conducted to address these required technological solutions as well as the associated behavioral changes. In this project, students at both Universities participate in a senior-level engineering course on thermo-structural design of the lower surface of a next-generation reusable spacecraft. The course requires project work by teams comprised of students from both Universities, and therefore provides the context by which to study CMC, to teach students about collaborative engineering design, and within which to address behavioral changes needed to successfully combine the two. This paper first describes the course and supporting technology. This is followed by a review of qualitative evaluations by students from the two years that the course has been offered. These evaluations indicate that students taking the course receive training not only in discipline specific subject matter, but on working as member of a design team, distributed collaborative engineering, and advanced information technologies that is perceived as valuable educationally and for its expected benefits in their careers.