Miracle-dz/UniFAR-FTUs huggingface dataset:
Depth Dose Enhancement on Flattening-Filter-Free Photon Beam: A Monte Carlo Study in Nanoparticle-Enhanced Radiotherapy

The aim of this study is to investigate the variations of depth dose enhancement (DDE) on different nanoparticle (NP) variables, when using the flattening-filter-free (FFF) photon beam in nanoparticle-enhanced radiotherapy. Monte Carlo simulation under a macroscopic approach was used to determine the DDE ratio (DDER) with variables of NP material (gold (Au) and iron (III) oxide (Fe2O3)), NP concentration (3–40 mg/mL) and photon beam (10 MV flattening-filter (FF) and 10 MV FFF). It is found that Au NPs had a higher DDER than Fe2O3 NPs, when the depths were shallower than 6 and 8 cm for the 10 MV FF and 10 MV FFF photon beams, respectively. However, in a deeper depth range of 10–20 cm, DDER for the Au NPs was lower than Fe2O3 NPs mainly due to the beam attenuation and photon energy distribution. It is concluded that DDER for the Au NPs and Fe2O3 NPs decreased with an increase of depth in the range of 10–20 cm, with rate of decrease depending on the NP material, NP concentration and the use of FF in the photon beam.
Use of Modern Technologies for the Conservation of Historical Heritage in Water Management

Historical monuments represent a cultural heritage that humanity has a duty to preserve and conserve. Lately all over the world, scanning these heritage objectives has become a priority, in order to preserve in the smallest details the used architecture. The work aims to complete the cultural heritage for Sânmihaiu Român hydro technical development built between 1912 and 1915, located on the Bega River in Western Romania, through modern mobile scanning technology, Leica Pegasus Backpack, necessary for the creation of a three-dimensional (3D) documentation, for the completion of the cultural heritage, and for the creation of a 3D database. The purpose of the scientific paper is restoring Sanmihaiu Roman Hidro technical Node, subject to degradation, in order to achieve the project “The navigable Bega”, waterway connection to Serbia. Collecting method of LiDAR data is Fused Slam, the acquisition of RINNEX data being made by placing a Leica GS08 Master Station. Visualization of quality graphics has been performed in Quality Control (QC) Tools. The scanning accuracy is between 2 and 3 cm and the 3D data processing was performed with the Cyclone Model version program, with SmartPick Point and Virtual Surveyor functions. The obtained point clouds will be of a great help in order to follow in time the construction which can be used whenever it will be needed by the designers and specialists in the field of hydrotechnics.
Linearizing Control of a Distributed Actuation Magnetic Bearing for Thin-Walled Rotor Systems

This paper describes an exact linearizing control approach for a distributed actuation magnetic bearing (DAMB) supporting a thin-walled rotor. The radial DAMB design incorporates a circular array of compact electromagnetic actuators with multi-coil winding scheme optimized for supporting thin-walled rotors. A distinguishing feature is that both the x and y components of the radial bearing force are coupled with all four of the supplied coil currents and so a closed form solution for the linearizing equations cannot be obtained. To overcome this issue, a gradient-based root-finding algorithm is proposed to solve the linearizing equations numerically in real-time. The proposed method can be applied with any chosen constraints on current values to achieve low RMS values while avoiding zero-current operating points. The approach is implemented and tested experimentally on a rotor system comprising two radial DAMBs and a uniform cylindrical shell rotor. The results show that the method achieves more accurate reproduction of demanded bearing forces, thereby simplifying the rotor suspension control design and providing improved stability and vibration control performance compared with implementations based on operating point linearization.
Linking Patient Care Ownership and Professional Identity Formation through Simulation

Abstract Theory The link between ownership of patient care and professional identity formation (PIF) has not been formally established, yet PIF researchers frequently cite clinical experiences as powerful contributions to PIF. Hypothesis: Using clinical simulation, this study aimed to explore the relationship between patient care ownership and the cognitive processes involved in the creation of a professional identity. Methods: In 2018–2019, 189 third-year students participated in a simulation in which they were placed in the role of a physician treating a patient in respiratory distress. Data were collected from 12 focus groups (n = 84; 44% of the third-year class), each lasting 15–25 minute. Students were asked four questions designed to identify moments when they felt like a physician and experienced feelings of ownership. Each focus group was transcribed and analyzed for the presence of known elements that contribute to feelings of psychological ownership, and then inductively for how students related their feelings of ownership to their professional identity. Results: When students were asked to take ownership of their patient’s care, they underwent a three-step process: (1) experiencing disorientation, (2) reconceptualizing roles and responsibilities, and (3) reorientation to professional goals. Patient care ownership was disorienting because it marked a departure from the clinical roles the students had previously experienced. While disoriented, students engaged in a process of reflection during which they asked themselves who they were, who they were becoming, and who they needed to become to effectively serve in the role of a physician. This process prompted students to realize the limitations of their clinical reasoning abilities and that the role of a physician requires new ways of thinking. Conclusions: This study advances a conceptual model of PIF that identifies patient care ownership as a catalyst in developing a professional identity. Assuming responsibility for patients places students into an unfamiliar role, which opens a channel for students to access new perspectives in their development as physicians.
All-single-mode fiber intracavity displacement sensor based on Er-doped fiber ring laser

In this paper, we propose and demonstrate a high-integration intracavity displacement-sensor through inserting U-shape single-mode fiber interferometer (U-SMFI) into an Er-doped fiber ring laser. Considering that the U-SMFI can be realized only through bending a SMF, its characteristic of easy fabrication can reduce the cost of manufacturing process in contrast with those wavelength-modulated displacement sensors based on fiber Bragg grating, long-period grating and surface plasmon resonance. When the U-SMFI is inserted into the laser cavity, the variation of the bending radii can modulate the cavity loss so as to have an effect on the spectrum of the output laser. The proposed sensor has a higher signal to noise ratio and a narrower full width at half maximum. Through measuring the change of the spectrum, a high-resolution displacement sensor can be realized. The experimental results indicate that the sensitivities are 39 pm/μm when the bending radius is 6.5 mm.
Electrochemical Hydrogen Storage in Amine‐Activated Polydopamine

Electrochemical hydrogen storage combines the evolution, oxidation, and storage of hydrides from aqueous electrolytes and ionic liquids, but presently requires palladium or rare‐earth metals to achieve significant power capacities. Here hydrogen electrosorption in amine‐activated polydopamine is shown. The organic heterogeneous amine‐hydride yields a gravimetric hydrogen density of 0.44%, corresponding to a 80% hydride‐per‐monomer content, and offers similar reaction kinetics as for palladium and related systems. An initial stability test of 100 electrosorption cycles that demonstrates resilience in acidic media with a tendency for increased capacity over time is included. In situ vibronic amine‐hydride fingerprints corroborate the reversibility and stability of the conversion process and highlight the merits of amine‐activated polydopamines as a heterogeneous organic hydrogen storage system.
A Review on Fatigue Life Prediction of Plain Concrete

Fatigue analysis of concrete structures is important since it is the limiting factor to service life of many infrastructures. The heterogeneity in concrete and its complex behaviour upon repetitive loading makes the fatigue life prediction of concrete erratic. This paper presents a review on the fatigue life prediction models of plain concrete. Review includes the deterministic and probabilistic approach for the prediction of fatigue life of concrete. It has been observed that deterministic approach depends on certain parameters and initial conditions and is not reliable for the prediction of fatigue life of concrete. So there is a demand for a more generalised model based on probabilistic approach which includes randomness in the fatigue failure of concrete. Recent studies show utilisation of artificial neural network, a computational tool based on this approach can be utilised to predict the fatigue behaviour of concrete.
Proficiency Testing of Metagenomics-Based Detection of Food-Borne Pathogens Using a Complex Artificial Sequencing Dataset

Metagenomics-based high-throughput sequencing (HTS) enables comprehensive detection of all species comprised in a sample with a single assay and is becoming a standard method for outbreak investigation. However, unlike real-time PCR or serological assays, HTS datasets generated for pathogen detection do not easily provide yes/no answers. Rather, results of the taxonomic read assignment need to be assessed by trained personnel to gain information thereof. Proficiency tests are important instruments of validation, harmonization, and standardization. Within the European Union funded project COMPARE [COllaborative Management Platform for detection and Analyses of (Re-) emerging and foodborne outbreaks in Europe], we conducted a proficiency test to scrutinize the ability to assess diagnostic metagenomics data. An artificial dataset resembling shotgun sequencing of RNA from a sample of contaminated trout was provided to 12 participants with the request to provide a table with per-read taxonomic assignments at species level and a report with a summary and assessment of their findings, considering different categories like pathogen, background, or contaminations. Analysis of the read assignment tables showed that the software used reliably classified the reads taxonomically overall. However, usage of incomplete reference databases or inappropriate data pre-processing caused difficulties. From the combination of the participants’ reports with their read assignments, we conclude that, although most species were detected, a number of important taxa were not or not correctly categorized. This implies that knowledge of and awareness for potentially dangerous species and contaminations need to be improved, hence, capacity building for the interpretation of diagnostic metagenomics datasets is necessary.
Models of feed utilization and growth for monogastric animals

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
A Deep Learning and Depth Image based Obstacle Detection and Distance Measurement Method for Substation Patrol Robot

Recently, substation patrol robot is gradually used to replace the manual inspection in order to improve the inspection efficiency as well as security and automation level of substation maintenance. The research of obstacle avoidance is a hot spot in substation intelligent patrol robot area. The emerging new generation of artificial intelligence (AI) technology provides a new way to solve the obstacle detection and distance measurement problem. To realize accurate, effective and real-time response to the environmental changes, a novel obstacle avoidance method based on deep learning and depth image is proposed. The core of this method is pixel-level instance segmentation between obstacles and roads, along with a pixel-level matching of obstacles’ segmentation mask and depth data. The effectiveness of the proposed method is validated by actual tests in real substation environment.
The geometry of the lactation curve based on Wood's equation: a two-step prediction

ABSTRACT Lactation records from cows of the southwestern Parana state, Brazil, form the dataset of this study. We applied the information-theoretic approach to evaluate the ability of the nonlinear Wood, Brody, Dijkstra, and Gamma functions to fit to these data by employing a two-step technique based on nonlinear mixed-effects models and generalized linear mixed-effects models. Wood’s equation was fitted with the combination of a first-order autoregressive correlation structure and a variance function to account for heteroscedasticity. This version was the [. ]
Farmland human-shape obstacles identification based on Viola-Jones Algorithm

Abstract: When agricultural unmanned aerial vehicle (UAV) is spraying in the field or hovering on the ridge, there is a possibility that obstacles without moving characteristics represented by humans may collide with agricultural UAV. In order to quickly identify and detect human-shape obstacles, realize the safe operation of agricultural UAV, this paper proposes a new method based on Viola-Jones Algorithm according to the head-shoulder ratio characteristics of Chinese adults and the basic spraying parameters of agricultural UAV. The cascade object detector is used to detect people’s upper bodies area of all humanoid obstacles in the view field of the agricultural UAV’s flight direction, and the extracted upper body image is binarized to obtain the relevant projection histogram and calculate the width ratio and distance ratio of head-shoulder, then judge whether it is a human-shape obstacle, and combine the depth and position information to avoid the danger of collision. The test results show that the method is feasible and effective in recognizing human-shape obstacles on the front or back in the farmland within the sight distance of6 meters. Keywords: agricultural UAV, binocular vision, picture processing, human-shape obstacles, MATLAB DOI: 10.33440/j.ijpaa. 20200303.99 Citation: Wang L L, Xiao W W, Qi Y, Gao Q C,Li L, Yan K T, Zhang Y L, Lan Y B. Farmland human-shape obstacles identification based on Viola-Jones Algorithm. Int J Precis Agric Aviat, 2020; 3(3): 35–40.
SFBCT for Couples Raising a Child with Autism: A Grounded Theory Study

ABSTRACT Raising a child with an Autism Spectrum Disorder (ASD) can have negative effects on the parents’ emotional wellbeing, along with their marital relationship. Although there is some information on the treatment of parents, there is a lack of research investigating how the process of change occurs during couples therapy. The current study interviewed five couples, raising a child with ASD, who received Solution-Focused Brief Couples Therapy (SFBCT). A grounded theory approach was used to understand the process of change for couples receiving six sessions of SFBCT. Through the use of constructivist-grounded theory methodology (GTM), a theory was constructed on the experience of change perceived by participants. The results indicate the importance of both the therapists’ and clients’ process of change during therapy.
Nymphal Diapause in Laodelphax striatellus (Hemiptera: Delphacidae)1

Abstract Diapause, an important developmental process in insects, is a physiological adaptation for avoiding adverse environmental conditions. Laodelphax striatellus Fallén is an important graminaceous crop pest in East Asia, and there are few reports regarding the nymphal diapause from fields with rice–wheat rotation. In the present study, we determined the fourth-instar nymph as the main diapause stage through investigation under field and laboratory conditions. Developmental duration of the third and fourth instars was longer during the short day-length (10 h light:14 h dark [10L:14D]) at 20°C than during other photoperiods. The third-instar nymph is the most sensitive stage to changes in the photoperiod. The optimal environmental factor for diapause termination was long day-length (16L:8D) at 25 to 28°C. The supercooling point was significantly reduced in diapause nymphs, and activities of trehalase, pyruvate kinase, and sorbitol dehydrogenase were significantly decreased (46.46, 37.90, and 17.64%, respectively). The information obtained in this study may be beneficial to the development of control strategies for this pest.
Biogeographic and Biogeochemical Drivers of Microbial Community Assembly

The processes of community assembly shape all groups of coexisting organisms across all environments where life is found. Even for environments that are currently sterile, when they are colonized by life, community assembly processes will occur. The processes governing formation and diversification of microbial communities are vital to an understanding of how ecosystems develop in the human body, in emerging landscapes, and everywhere else. In this dissertation, I use community assembly theory to understand how microbial communities are shaped by geography, and also by the resources available to them. Using a microcosm-based nutrient addition experiment, I show that microbial communities in the plant-free, oligotrophic debris on top of the Middle Fork Toklat Glacier (Denali National Park and Preserve, Alaska) are strongly structured by the lack of available phosphorus, a result which differs significantly from ecological dogma that suggests early-successional primary producers are limited by nitrogen instead. I expand on my findings of P-limitation with an in situ nutrient addition experiment in soils exposed by the retreating Puca glacier (Cordillera Vilcanota, Peru), which showed that phosphorus limits primary producers (both microbes and plants), shaping the structure and function of microbial communities. The biogeochemical properties affecting microbial communities often have a geospatial component, and I found that atop the Toklat Glacier,
Rigid bronchoscopy in malignant airway fistula using dexmedetomidine

Esophageal and tracheal stenting is an effective palliative treatment of malignant tracheo-esophageal (TEF) and trachea-mediastinal fistula (TMF) to relieve dyspnea and dysphagia (1), and to improve quality of life (2). Rigid bronchoscopy (RB) is commonly used to place tracheal stents to seal the lesion from the airway side (3). However, general anesthesia and jet ventilation required for RB may cause gastric distension, pneumomediastinum or worsening of the fistula (4). Thus, a safe sedation technique enabling RB in spontaneous respiration might be promising. Dexmedetomidine is an α2 receptor agonist with sympatholytic and sedative characteristics, which has been shown to enable moderate sedation for several procedures including airway foreign body removal through RB in pediatric patients (5). Apart from one publication (6), to our knowledge there are no reports on tracheal stenting through RB using dexmedetomidine. Here, we present three cases with successful tracheal stent placement through RB in moderate sedation and spontaneous respiration using dexmedetomidine to seal TEF or TMF. All patients gave the consent to this technique and a general consent to present the data.
Economic Assessment and Community Management of Prosopis juliflora Invasion in Sweimeh Village, Jordan

Invasions by invasive alien species (IAS) are recognized as one of the largest threats to earth’s ecosystem services and represent rapidly growing economic costs as they damage local ecosystems and force surrounding communities to divert resources towards IAS management and control. The study objectives were to assess the economic impacts of a Prosopis juliflora invasion in Jordan and gauge community preferences for management plans. The study was conducted in Sweimeh, Jordan Valley using a combination of focus groups and randomized interviews with 203 local households. Direct-use values for products derived from P. juliflora and direct costs owing to P. juliflora’s presence have been calculated. A binary logistic regression model was then developed to predict the households’ preferences between two policy responses: P. juliflora management or complete eradication. The results revealed the dualistic role of P. juliflora in household livelihoods: it was widely used for firewood, fodder, and charcoal offering benefits valued at JOD 2165 per household/year (JOD 1 = USD 0.71). At the same time, the invasion reduced household welfare by taking over arable lands and injuring humans and animals. Consequently, the income lost as a result of the invasion was estimated by JOD 1410.5 per household/year. As a result, two-thirds of respondents choose the option of P.juliflora invasion management. Only respondents’ monthly income and perception of P. juliflora’s impact on the prevention of soil erosion were significant predictors of respondents’ preferences for the management plans. In conclusion, more coordinated responses between policy makers, institutions, and local communities are required to mitigate the negative impact of P. juliflora invasion.
Improving competitiveness and well-being through human resources quality, local culture, and product performance

Abstract This study aims to examine and analyze the effect of Human Resources Quality, Product performance, and local culture on Competitiveness and welfare of small and medium-sized businesses. The study was conducted at the Small and Medium Enterprises in Denpasar-Bali-Indonesia which collected 126 business owner. The research was conducted by census, where all participation was used as research respondents. Data collection was carried out through interviews related to the prepared questionnaire. Questionnaires that were asked by respondents then tabulated and processed with the SmartPLS 3.0 program. The results found that the quality of human resources, product performance, and local culture showed a significant positive effect on competitiveness. Competitiveness shows a significant positive effect on the competitiveness of small and medium businesses. The results of the study prove that product performance and competitiveness together mediate the relationship between Human Resources Quality and Welfare.
On the optimal separating hyperplane for arbitrary sets: a generalization of the SVM formulation and a convex hull approach

ABSTRACT We generalize the existing formulation and results on linear separability of sets. In order to characterize the solution of the generalized problem, we use the concepts of convex hulls. For finite sets, it is well known the Support Vector Machine technique for finding the optimal separating hyperplane. Here we consider arbitrary sets, allowing infinite, unbounded and nonclosed sets. The problem is formulated as an optimization problem with possibly infinitely many constraints. We prove existence and uniqueness of the solution. Besides, we present some examples and counterexamples to many properties discussed in the text and statements in the literature.