Miracle-dz/UniFAR-FTUs huggingface dataset:
SKILLS MONITORING IN HEALTHCARE STUDIES – FOR PATIENT SAFETY AND HEALTHCARE QUALITY

The competence of healthcare professionals is crucial in ensuring patient safety and the quality of healthcare. Skills are one of the most important aspects of competence, but often health care employers, when assessing the readiness of young professionals, point out that the ability to implement skills in a real work environment are unclear, insufficient and even inadequate. Slavinska et al., 2021. Prasmju monitorings veselības aprūpes studiju virziena studijās pacientu drošībai un veselības aprūpes kvalitātei 612 The paradigm shift in education intends bringing skills to the foreground. In order to promote skills management, Rīga Stradiņš University (RSU) already in 2016 started work on the institutional level project “Skills Monitoring System” (hereinafter SMS), focusing primarily on work and profession specific skills in the field of health care studies. Visible and demonstrable monitoring of skills in education is an innovation. The aim of this article is to analyze and reflect the coherence of the RSU Skills Monitoring System concept with the current principles of education policy development, legal framework and basic principles of higher education pedagogy in skills acquisition and evaluation in health care education, as well as to evaluate the initial results of the newly developed system. In order to achieve the goal, an interdisciplinary, qualitative study was conducted, where analytical and descriptive, inductive, deductive and synthesis research and legal (translation) norm methods were implemented, as well as interviews to evaluate initial results. The results of the research show that the components and solutions included in SMS have been developed in accordance with the legal framework and the main educational guidelines, in accordance with the theoretical concepts of pedagogy. An education approach based on simulation integrated in the acquisition of skills allows to systematically evaluate the amount and quality of theoretical knowledge, to determine the actual level of abilities and to predict the quality of performance and compliance with the real work environment. The management of skills acquisition in Higher Education Institutions should be supported and promoted from the point of view of educators, employees and sectoral professional associations and employers.
Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI

Abstract. The objective is to derive methane (CH4) emissions of the metropolitan city Madrid Spain from the CH4 enhancements seen by the space-borne and the ground-based instruments. This study applies satellite-based measurements from the TROPOspheric Monitoring Instrument (TROPOMI) and the Infrared Atmospheric Sounding Interferometer (IASI) together with measurements from the ground-based COllaborative Carbon Column Observing Network (COCCON) instruments. In 2018, a two-week field campaign for measuring the atmospheric concentrations of greenhouse gases was performed in Madrid in the framework of Monitoring greenhousE Gas EmIssions of Madrid city (MEGEI-MAD) project. Five COCCON instruments were deployed at different locations around the Madrid city center enabling the observation of total column averaged CH4 mixing ratios (XCH4). Using available wind data, the differences between CH4 columns observed at these locations allow to estimate the emissions emerging from the surrounded area. In addition, based on the dominating wind direction in the Madrid region, we calculate the difference of the satellite data maps for two opposite wind regimes (northeast – southwest, NE – SW). In the following, we refer to the resultant signal as the wind-assigned anomaly. We use TROPOMI tropospheric nitrogen dioxide (NO2) observations as a test to verify our method of wind-assigned anomaly and its implementation, taking advantage of the much better detectability of the plume due to the short lifetime and low background concentrations of NO2. Pronounced bipolar plumes are found along NE and SW wind direction, which implies that our method of wind-assigned anomaly is working as expected. The wind-assigned TROPOMI XCH4 anomaly shows much weaker symmetric plumes than NO2 due to the long lifetime of CH4 and in consequence a high accumulated background of CH4 in the atmosphere. The wind-assigned plume method is also applied to the tropospheric and upper tropospheric/stratospheric column averaged CH4 mixing ratio products (in the following referred to as TXCH4 and UTSXCH4) derived from a-posteriori merged Infrared Atmospheric Sounding Interferometer (IASI) profile and TROPOMI total column data. Based on the NE and SW wind fields, we developed a simple plume model locating the source at three waste disposal sites east of Madrid for CH4. As CH4 emission strength we estimate 7.4 × 1025 ± 6.4 × 1024 molec s−1 from the TROPOMI XCH4 data and 7.1 × 1025 ± 1.0 × 1025 molec s−1 from the TROPOMI&IASI merged TXCH4 data. The COCCON observations indicate a weaker CH4 emission strength of around 3.7 × 1025 molec s−1 from local source (near to the Valdemingómez waste plant) in accordance with observations in a single day and. All emission rates estimated from the different observations are significantly larger than the emission rates provided via the official Spanish Register of Emissions and Pollutant Sources.
Structural Query Language Question Creation by using Inverse Way

: In order to store the information of the database stored in the formation or layout of tables of rows and columns Structured Query Language is created\developed. It is one of the essential practices that each and every student of the IT Department of Engineering must know. To let students understand this language, professors spend a vast amount of time building assignments and queries for students, which however results in using previously used questions and queries whom the students might have already have seen and know the answers, this method dismantle the whole motto of teaching SQL because students get the advantage of less number of queries and questions and no need of brainstorming for answers. This paper discusses the inverse process of producing Structural Query Language exercises by producing answers first rather than questions which not only saves the time of instructors but also generates a spread of SQL questions, and also introduces the framework which is developed by using an inverse method. This paper also arrange\talk about reviews on superiority \ benefits and scope in the future of using inverse way\process over normal methods for producing Structural Query Language exercises.
Synthesis and characterisation of super-paramagnetic iron oxide nanoparticles (SPIONs) for minimising Aeromonas hydrophila load from freshwater

The current study was conducted to prepare an efficient super-paramagnetic iron oxide nanoparticle (SPIONs) to remove Aeromonas hydrophila from water. The nanoparticles were synthesized by the co-precipitation method and characterized by DLS, UV-Vis spectrophotometer, FT-IR, XRD, FEG-TEM, and VSM analysis. The results showed that the synthesized SPIONs were having a size range of 8-12nm with magnetic property. Bacteria removal efficiency and antibacterial activity of SPIONs were assessed in sterile distilled water by adding different concentrations of SPIONs viz. 0, 6.25, 12.5, 25, 50, 100, 200, 500, and 1000µM with different initial bacterial loads viz. 1×103, 1×104, 1×105, 1×106, and 1×107 CFU mL−1 at different time intervals 15, 30, 45, and 60 min. At low bacterial load (1×103 to 1×105 CFU mL−1), 95 to 99.99% of bacteria were removed by low SPIONs concentration (6.25-100µM) by 15min which was increased up to 100% by 30min. However, at high bacterial load (1×106 to 1×107 CFU mL−1), more than 87 to 95% of bacteria were removed by the highest SPIONs concentration (1000µM) by 15min, which was increased above 93 to 99.99% by increasing the exposure time to 60min. At low bacterial load (1×103 to1×105 CFU mL−1), the effective concentration was 3.21 to 6. 42µM at 15-60 min intervals. Meanwhile, the effective concentration at high bacterial load was 267.81 µM at 15min, which was decreased to 104.09 µM with increasing exposure time to 60min. Based on the results, it is concluded that the antibacterial effect against A. hydrophila depends on the concentration as well as the exposure time of SPIONs. A low concentration of SPIONs is sufficient to remove 100% of bacterial load in lower exposure time and increasing concentration of SPIONs increases the antibacterial effect. However, further research requires to find the safe concentration of SPIONs for using it as a novel antibacterial agent for the treatment of aeromonads disease in aquaculture.
Real Color Model of a Cadaver for Deep Brain Stimulation of the Subthalamic Nucleus

When performing deep brain stimulation (DBS) of the subthalamic nucleus, practitioners should interpret the magnetic resonance images (MRI) correctly so they can place the DBS electrode accurately at the target without damaging the other structures. The aim of this study is to provide a real color volume model of a cadaver head that would help medical students and practitioners to better understand the sectional anatomy of DBS surgery. Sectioned images of a cadaver head were reconstructed into a real color volume model with a voxel size of 0.5 mm × 0.5 mm × 0.5 mm. According to preoperative MRIs and postoperative computed tomographys (CT) of 31 patients, a virtual DBS electrode was rendered on the volume model of a cadaver. The volume model was sectioned at the classical and oblique planes to produce real color images. In addition, segmented images of a cadaver head were formed into volume models. On the classical and oblique planes, the anatomical structures around the course of the DBS electrode were identified. The entry point, waypoint, target point, and nearby structures where the DBS electrode could be misplaced were also elucidated. The oblique planes could be understood concretely by comparing the volume model of the sectioned images with that of the segmented images. The real color and high resolution of the volume model enabled observations of minute structures even on the oblique planes. The volume models can be downloaded by users to be correlated with other patients’ data for grasping the anatomical orientation.
Direct Synthesis of N-Protected Serine- and Threonine-Derived Weinreb Amides via Diboronic Acid Anhydride-Catalyzed Dehydrative Amidation: Application to the Concise Synthesis of Garner’s Aldehyde

Abstract An efficient method for the direct synthesis of Weinreb amides derived from serine and threonine derivatives via diboronic acid anhydride-catalyzed hydroxy-directed amidation is described. This is the first successful example of the synthesis of serine- or threonine-derived Weinreb amides using catalytic dehydrative amidations. The methodology could be applied to the concise synthesis of Garner’s aldehyde.
Genetic, Physiological, and Industrial Aspects of the Fructophilic Non-Saccharomyces Yeast Species, Starmerella bacillaris

Starmerella bacillaris (synonym Candida zemplinina) is a non-Saccharomyces yeast species, frequently found in enological ecosystems. Peculiar aspects of the genetics and metabolism of this yeast species, as well as potential industrial applications of isolated indigenous S. bacillaris strains worldwide, have recently been explored. In this review, we summarize relevant observations from studies conducted on standard laboratory and indigenous isolated S. bacillaris strains.
Exogenous melatonin ameliorates salinity-induced oxidative stress and improves photosynthetic capacity in sweet corn seedlings

Melatonin (MT) is involved in physiological processes in plants under abiotic stress. In this study, we investigated the effects of melatonin on maize photosynthetic and antioxidant capacities under salinity stress. Our findings indicated salinity stress significantly inhibited maize growth. However, exogenous MT promoted maize growth and antioxidant capacity. Superoxide dismutase, peroxidase, and catalase increased by 138.8, 38.7, and 32.0%, respectively, while H2O2 and malondialdehyde decreased by 23 and 31%, respectively. Exogenous MT also improved maize photosynthesis under salinity stress. Net photosynthetic rate, transpiration rate, and stomatal conductance increased by 134, 67.2, and 46.3%, respectively. Maximum quantum yield of PSII photochemistry, effective quantum yield of PSII photochemistry, photochemical quenching coefficient, and electron transport rate increased by 5.8, 70.4, 65.3, and 41.0%, respectively. Therefore, our findings suggested exogenous MT significantly ameliorated maize physiological and photosynthetic adaptation under salinity stress, thereby providing helpful guidance for maize cultivation in areas of high salinity.
Crack Detection in Plate-Like Structures Using Modal Strain Energy Method considering Various Boundary Conditions

Among vibration-based damage detection methods, one of the effective approaches for damage localization is the modal strain energy method. In this paper, the modal strain energy method is developed for damage detection in plate-like structures with various boundary conditions. Firstly, the theory of the modal strain energy method is briefly outlined. In order to overcome the limitation of measuring points, a central difference method is newly employed to compute the partial differential terms in the modal strain energy formula. Finite element analysis is conducted on an aluminum thin plate to obtain the mode shapes before and after the occurrence of damage. Feasibility of the proposed method is verified by investigating plates with different types of boundary conditions. A damage index is presented to identify the location and extent of crack in the plate-like structures. The analytical results show that the proposed method accurately identifies the crack in the plate structure with various types of boundary conditions by using appropriate mode shapes and damage threshold.
A Fall Posture Classification and Recognition Method Based on Wavelet Packet Transform and Support Vector Machine

An accidental fall seriously threatens the health and safety of the elderly. The injuries caused by a fall have a lot to do with the different postures during the fall. Therefore, recognizing the posture of falling is essential for the rescue and care of the elderly. In this paper, a novel method was proposed to improve the classification and recognition accuracy of fall postures. Firstly, the wavelet packet transform was used to extract multiple features from sample data. Secondly, random forest was used to evaluate the importance of the extracted features and obtain effective features through screening. Finally, the support vector machine classifier based on the linear kernel function was used to realize the falling posture recognition. The experiment results on “Simulated Falls and Daily Living Activities Data Set” show that the proposed method can distinguish different types of fall postures and achieve 99% classification accuracy.
Integrating Production Planning with Truck-Dispatching Decisions through Reinforcement Learning While Managing Uncertainty

This paper presents a new truck dispatching policy approach that is adaptive given different mining complex configurations in order to deliver supply material extracted by the shovels to the processors. The method aims to improve adherence to the operational plan and fleet utilization in a mining complex context. Several sources of operational uncertainty arising from the loading, hauling and dumping activities can influence the dispatching strategy. Given a fixed sequence of extraction of the mining blocks provided by the short-term plan, a discrete event simulator model emulates the interaction arising from these mining operations. The continuous repetition of this simulator and a reward function, associating a score value to each dispatching decision, generate sample experiences to train a deep Q-learning reinforcement learning model. The model learns from past dispatching experience, such that when a new task is required, a well-informed decision can be quickly taken. The approach is tested at a copper–gold mining complex, characterized by uncertainties in equipment performance and geological attributes, and the results show improvements in terms of production targets, metal production, and fleet management.
New Data from Old Specimens

Museums provide a wealth of scientific information via preserved natural history specimens, including but not limited to dietary, morphological, and geographic distributions of organisms. In the modern molecular age, however, fluid-preserved museum collections have not always been at the frontline for generating useable data, despite the fact that for some species, only museum specimens are known, with no fresh genetic materials available. We are now at a major shift in our ability to use museum specimens for molecular phylogenetics, where modern subgenomic sequencing techniques better allow for successfully sequencing hundreds to thousands of phylogenetically informative loci for historical specimens, including formalin- and fluid-preserved amphibians and reptiles. Here, I review the current state of the field, with respect to studies which have successfully generated high-throughput molecular datasets using fluid-preserved specimens for herpetofauna, particularly for systematic studies. Although only six publications fitting the search criteria were found, these studies provide a wealth of knowledge on the uses of museum herpetological specimens for modern work and illustrate just how important historical specimens are for enhancing our current understanding of species genetic structure, phylogenetic placements, and for disentangling taxonomic conundrums. In an age where both museums and general collecting come under critique from the general public, this review emphasizes the continued importance of museum specimens across all subfields in the study of amphibians and reptiles.
Lake browning generates a spatiotemporal mismatch between dissolved organic carbon and limiting nutrients

Widespread long‐term increases in dissolved organic carbon (DOC) concentrations (i.e., “browning”) have been observed in many lakes, but the ecological consequences are poorly understood. Some studies suggest a unimodal relationship between DOC and primary productivity, with peak productivity at intermediate DOC concentrations. This peak is hypothesized to result from the tradeoff between light absorbing properties of DOC, and increases in limiting nutrients with browning. Nevertheless, it is unclear whether nutrient stoichiometry is constant as lakes brown. Across both regional and national surveys, we found a positive linear relationship between DOC and both total and organic forms of nitrogen and phosphorus. However, long‐term data from a suite of browning lakes indicates that total nutrients do not increase as DOC increases through time. Our results show that DOC and limiting nutrients are coupled spatially, but not temporally, and that this temporal mismatch challenges previous conceptualizations of the long‐term effects of browning on productivity.
Managing Overconfident Newsvendors: A Target‐Setting Approach

Experimental results support that overconfident newsvendors deviate from the optimal inventory levels to place orders closer to the mean of demand distributions, thereby lowering profits. To improve performance, we investigate whether nonstandard preferences based on prospect theory can manage overconfident newsvendors. We develop a framework where a manager determines a profit‐based target, which serves as a reference point in the newsvendor's utility function. We show that target‐setting can induce optimal orders for low‐margin products. We extend our model to a duopoly and show that the type of competition determines whether target‐setting improves performance beyond the monopolist setting. Decentralized competition, where competing newsvendors have different managers, reduces the effectiveness of target‐setting. However, centralized competition, where competing newsvendors share the same manager, increases the range of profit margins within which target‐setting can achieve the system‐optimal order quantities. We compare profit‐margin targets with gross‐profit targets throughout our analysis. Although the targets offer similar performance, we find that profit‐margin [gross‐profit] targets dominate for extremely [moderately] low‐margin products when the manager is uncertain about the newsvendor's overconfidence level. However, when managing a newsvendor with an uncertain degree of loss aversion, we find that profit‐margin targets offer greater benefits regardless of the product's profitability.
N-doped graphene as a nanostructure adsorbent for carbon monoxide: DFT calculations

ABSTRACT This work reports the physisorption of carbon monoxide (CO) on the surface of N-doped graphene. To study the adsorption of CO on N-doped graphene, some quantum chemical calculations were used through density functional theory. Based on our results, it can be found that the CO molecule could be adsorbed on the surface of N-doped graphene physically with the adsorption energies (Eads) of −2.9 and −0.8 kcal mol−1 (depends on the kind of configuration) while positive adsorption energies were calculated upon adsorption of CO on pristine graphene. We used the charge analysis for calculation of the net transferred charge of adsorbed CO on pristine and N-doped graphene sheets to evaluate the sensing ability of surface. The global indices of reactivity were calculated from the differences of the lowest unoccupied molecular orbital and highest occupied molecular orbital energies. Graphs for density of states point to some orbital hybridisation between CO molecule and N-doped graphene. Consequently, the N-doped graphene transforms the existence of CO molecules into electrical signal, and it may be potentially used as a sensor for CO.
GC-MS DETERMINATION OF RESIDUAL FLUOSILAZOLE PROPICONAZOLE AND DIFENOCONAZOLE IN GREEN PEA

Residual amounts of fluosilazole(FSAZ),propiconazole(PPAZ) and difenoconazole(DFAZ) in green pea was determined by gas chromatography and mass spectrometry in hyphenation.The above mentioned pesticides were extracted from the sample with acetonitrile and purified by using Supelco Dual Layer ENVI~(TM)-(Carb Ⅱ/PSA)(500/500 mg) SPE Tube.The final extract was injected into GC for separation and followed by MS detection under EI ionization and synchronous SIM/SCAN data aquisition mode.The detection limit found for FSAZ,PPAZ and DFAZ were 0.001,0.003 and 0.005 mg·kg~(-1) respectively.Tests for precision and recovery were made at the concentration levels of 0.01,0.02 and 0.05 mg·kg~(-1),and values of RSD′s found were in the range of 5.0%-12.0%,and values of recovery were in the ranges of 60%-120%,70%-112% and 75%-110% respectively.