Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical and Microbiological Impact of Implementing a Decision Support Algorithm through Microbiologic Rapid Diagnosis in Critically Ill Patients: An Epidemiological Retrospective Pre-/Post-Intervention Study

Background: Data on the benefits of rapid microbiological testing on antimicrobial consumption (AC) and antimicrobial resistance patterns (ARPs) are scarce. We evaluated the impact of a protocol based on rapid techniques on AC and ARP in intensive care (ICU) patients. Methods: A retrospective pre- (2018) and post-intervention (2019–2021) study was conducted in ICU patients. A rapid diagnostic algorithm was applied starting in 2019 in patients with a lower respiratory tract infection. The incidence of nosocomial infections, ARPs, and AC as DDDs (defined daily doses) were monitored. Results: A total of 3635 patients were included: 987 in the pre-intervention group and 2648 in the post-intervention group. The median age was 60 years, the sample was 64% male, and the average APACHE II and SOFA scores were 19 points and 3 points. The overall ICU mortality was 17.2% without any differences between the groups. An increase in the number of infections was observed in the post-intervention group (44.5% vs. 17.9%, p < 0.01), especially due to an increase in the incidence of ventilator-associated pneumonia (44.6% vs. 25%, p < 0.001). AC decreased from 128.7 DDD in 2018 to 66.0 DDD in 2021 (rate ratio = 0.51). An increase in Pseudomonas aeruginosa susceptibility of 23% for Piperacillin/tazobactam and 31% for Meropenem was observed. Conclusion: The implementation of an algorithm based on rapid microbiological diagnostic techniques allowed for a significant reduction in AC and ARPs without affecting the prognosis of critically ill patients.
The Impact of HVLA Manipulations and Therapeutic Massage in Increasing the Mobility of the Lateral Flexion of the Neck

The purpose of this study was to establish if high-velocity, low-amplitude manipulation (HVLA) combined with therapeutic massage can improve cervical spine mobility, particularly neck lateral flexion, on the left and right sides, given that lateral neck flexion is 90 degrees. The sample of 75 participants was comprised of 35 men (46.6%) and 40 women (53.3%), all of whom were between the ages of 20 and 60 and were divided into four groups based on their average ages: 20 to 30 years, 31 to 40 years, 41 to 50 years, and 51 to 60 years. These groups were further subdivided into two groups by gender, male and female. Patients' lateral flexion was measured with a goniometer, which displays the angle of lateral flexion before and after treatment. C1-C7 vertebral level and shoulder joint level HVLA procedures were conducted. The therapeutic massage concentrated on the trapezius, sternocleidomastoid, platysma, splenius, and semispinalis muscles using relaxing techniques. Each patient's left and right elbow lateral flexion was measured with a goniometer following HVLA manipulations and therapeutic massage to see whether or not there was a significant increase. After combining the findings and measurements, we were able to determine that these combined methods increase the cervical spine joint mobility of the 75 participants by a mean of 12.36 degrees.
Evolutionary significance of the quarry cave specimens from Mladeč

The human remains from Mladeě have recently been described in a detailed monograph on the site (Frayer et al. 2005). This material derives from two different caves, the large Dome of the Dead cave and a small, separate side cave discovered during quarrying operations in 1904. Fortunately similar bone tools were found in both localities making archaeological association possible between the two caves. Material from this smaller chamber is less numerous and for the most part has been destroyed or lost since its discovery. However, the two adult crania (Mladeě 5 and 6) represent distinctive specimens with clear morphological links to Neandertals. Here, we review details of the side chamber and test hypotheses concerning the relationship of Miadec 5 and 6 to earlier populations.
Automatic Correction of Non-Anechoic Antenna Measurements using Low-Pass Filters

Prototype measurements belong to key steps in the development of antenna structures. They are normally performed in expensive facilities, such as anechoic chambers (ACs). Alternatively, antenna performance can be extracted (at a low cost) in non-anechoic conditions upon appropriate post-processing. Unfortunately, existing correction algorithms are difficult to set up and prone to failure, which limits their practical usefulness. In this work, a method for refining far-field antenna responses that exploits a series of low-pass filters with automatically determined properties has been proposed. Its performance has been demonstrated using a geometrically small antipodal Vivaldi radiator measured in an office room. The approach has been favorably compared against the state-of-the-art techniques from the literature.
Evaluation of Power Sharing Mechanism of a PEM Fuel Cell-Battery Powered Electric Vehicle

Evaluation of power sharing mechanism of a fuel cell-battery powered electric vehicle has been carried out using MATLAB and Simulink based mathematical simulation model. The vehicle simulation model was designed based on the specifications of a real-world commercial passenger vehicle to determine accurate estimation of onboard vehicle behaviors and power requirements depending on drive cycle inputs and vehicle dynamics. The power sharing mechanism is designed based on the role each component should be played by the vehicle's onboard hybrid combination of fuel cell and battery power sources. The battery is responsible for the meeting the vehicle's peak power demands whereas the fuel cell system controls the state-of-charge of the battery. The parameters of the power sharing mechanism are optimized by considering the drive torque, the battery state-of-the charge and the vehicle performance. The optimized simulation results showed that the power requirement/demand of the vehicle was significantly affected by the operating behaviors of the end users (driver) and combination of fuel cell and battery power sharing management system.
De novo designing of novel drug-like inhibitors of aldose reductase

Aldose reductase (AR, ALR2) is a member of the aldo-keto reductase superfamily. It is the first and rate-limiting enzyme of the polyol pathway. AR plays an essential role in the development of diabetic complications. It is designated as the most legitimate target for managing diabetic complications. One of the key challenges to the successful development of target-specific AR inhibitors is target selectivity. In this research, target-specific drug-like ALR2 inhibito
First estimate of common bottlenose dolphin (Tursiops truncatus) (Cetacea, Delphinidae) abundance off Uruguayan Atlantic coast

The common bottlenose dolphin Tursiops truncatus is often observed throughout the oceanic coast of Uruguay. Historically, its distribution was wider, including the estuary of the Rio de la Plata, but currently its occurrence seems to be restricted mainly to the Uruguayan Atlantic coast (Rocha Department). Conflicting interests and tradeoffs between conservation and development are being generated in Uruguay. On one hand, the establishment of protected areas, responsible tourism and sustainable fisheries are promoted, while on the other hand, foreign exploitation of natural resources and development of mega-infrastructure in coastal zone are facilitated. In this work, we provide the first estimate of bottlenose dolphin’s abundance along the Uruguayan Atlantic coast. These results can be used as baseline information for monitoring population trends and guiding conservation actions for bottlenose dolphins in Uruguay. Mark-recapture models were applied to data of photoidentified animals with long-lasting natural marks. Total population size estimates of 63 individuals (95% CI = 54–74) and 61 (95% CI = 53–73) were obtained from closed and open population models, respectively. Although the estimates are within the range of values obtained for other coastal bottlenose dolphin populations in the Southwest Atlantic Ocean, as well as other regions of the world, it is lower than the values reported for populations inhabiting open habitats. This small population is probably vulnerable to non-natural removals, environmental and demographic stochasticity. Therefore, precautionary actions are recommended given the planned development for this coastal region.
Potential roles for mitochondria-to-HSF1 signaling in health and disease

The ability to respond rapidly and efficiently to protein misfolding is crucial for development, reproduction and long-term health. Cells respond to imbalances in cytosolic/nuclear protein homeostasis through the Heat Shock Response, a tightly regulated transcriptional program that enhances protein homeostasis capacity by increasing levels of protein quality control factors. The Heat Shock Response is driven by Heat Shock Factor 1, which is rapidly activated by the appearance of misfolded proteins and drives the expression of genes encoding molecular chaperones and protein degradation factors, thereby restoring proteome integrity. HSF1 is critical for organismal health, and this has largely been attributed to the preservation of cytosolic and nuclear protein homeostasis. However, evidence is now emerging that HSF1 is also a key mediator of mitochondrial function, raising the possibility that many of the health benefits conferred by HSF1 may be due to the maintenance of mitochondrial homeostasis. In this review, I will discuss our current understanding of the interplay between HSF1 and mitochondria and consider how mitochondria-to-HSF1 signaling may influence health and disease susceptibility.
Improving Student's Critical Thinking Ability Using Argument-Drivent Inquiry Approach in Thermochemistry

This study aimed to investigate the impact of the Argument-Driven Inquiry instruction (ADI-Based Instruction) in thermochemistry on students' critical thinking skills. This study applied the one group pretest-posttest type of pre-experiment design. The subjects of this study were 71 eleven grade students of Public Senior High School of Ambulu Jember on academic year of 2022/2023. The instrument, namely the critical thinking ability test on thermochemistry, was developed by the researchers based on Ennis' critical thinking ability framework. This test consists of 10 valid items with a Cronbach's Alpha reliability of 0.782. The results showed that thermochemistry instruction carried out using ADI instructional model improve students' critical thinking skills with an N-gain of 0.731 (high category) and Cohen's d-effect size of 1.023 (large effect category) with an intermediate reliability of 0.619 (good categories). These results indicate that ADI-based instruction on thermochemistry can improve students' critical thinking skills. The implication of this study is that ADI-based instruction can be applied to other subjects who have the same characteristics of thermochemistry, namely having contextual, factual, conceptual, procedural, and metacognitive knowledge.
CALIBRATION DE CAMERA PAR ACQUISITION DE TYPE PANORAMIQUE

This paper presents a novel method to calibrate a camera from panoramas, i.e. to determine its intrinsic parameters. Camera calibration using panoramas has two main advantages: it requires neither ground control points or calibration patterns and the estimation of intrinsic and distortion parameters is of higher quality due to the loop constraint. The paper is organised as follow. The first part presents the acquisition process and our mathematical estimation framework. The second part explores with simulated data sets the impact of noisy measures, of geometry of acquisition and of unmodelled parallaxes on the calibration results. A comparison with a traditional calibration method (i.e by using a 3D target network) is then studied. The final section presents results in a real case.
A Statistical and Optimization Study on the Influence of Different Abrasive Types on Kerf Quality and Productivity during Abrasive Waterjet (AWJ) Milling of Ti-4Al-6V

Non-conventional machining processes offer significant advantages over conventional ones, especially in terms of the productivity, cost, and surface integrity of the produced parts due to their higher flexibility. Abrasive waterjet machining, in particular, constitutes an ecologically friendly process with a negligible thermal impact on a workpiece, and it has considerable capabilities for obtaining the desired outcome by regulating some of its numerous parameters. Among these parameters, the abrasive type is particularly important due to its hardness, mesh size, and shape, which lead to considerable deviations on the obtained depth, kerf characteristics, and productivity. Thus, in this work, a comprehensive comparison is conducted on the use of garnet and silicon carbide particles for the slot milling of the Ti-6Al-4V alloy under different conditions. The capabilities of both abrasive materials are evaluated by statistical analysis regarding the depth of penetration, kerf width, kerf taper angle, and material removal rate (MRR), which are obtained under the same process conditions. Finally, a multi-objective optimization based on grey relational analysis (GRA) is performed for several different practical cases. It was found that, although silicon carbide is more efficient in optimizing individual process outputs, the use of a garnet abrasive can lead to considerably better trade-offs between two or more objectives of the machining process.
Distributed Machine Learning for Terrestrial and Non-Terrestrial Internet of Things Networks

The integration of terrestrial and non-terrestrial (TNT) networks in the next-generation Internet of Things (IoT) is expected to provide a new communication paradigm for a variety of service and application offerings. In this work, we explain our vision of an intelligent and cognitive TNT-IoT platform that utilizes distributed machine learning. More specifically, we propose a novel intelligent adaptation layer (IAL) concept and examine its architecture, specifications, and operation. We investigate this new architecture's efficiency and vulnerability through a federated learning use case for joint jamming detection and waveform classification. We also identify significant research challenges and opportunities for further improvement of the TNT-IoT platform using digital twin, semantic communications, and responsible Al-empowered communications.
Water Reuse: Using Reclaimed Water for Irrigation

Why reuse water? The demand for fresh water in Virginia is growing as the state’s population increases. This demand can potentially exceed supply during times of even moderate drought. In recent years, the normal seasonal droughts that have occurred in Virginia have caused local and state government to enact water conservation ordinances. These ordinances limit the use of potable water (water suitable for human consumpWater Reuse: Using Reclaimed Water for Irrigation
Austeridad y ajustes sociales en el Sur de Europa. La fragmentación del modelo de bienestar Mediterráneo

espanolLa crisis economica iniciada en 2008 ha sido mas intensa en los paises del Sur de Europa que en otros socios comunitarios. Las dificultades de financiacion publica afrontadas por Espana, Grecia, Italia o Portugal han situado a sus sistemas de proteccion social bajo especiales circunstancias de presion. El imperativo de consolidacion fiscal ha forzado la introduccion de cambios de urgencia en numerosas areas de bienestar. Las transformaciones institucionales se han visto acompanadas de ajustes y trasvases de gasto social. El articulo examina el repertorio de reformas de bienestar acometido en el Sur de Europa en el contexto de la crisis y bajo la supervision politica de la Union Europea. Se evaluan las dificultades de conciliacion de los objetivos de austeridad y de sostenimiento de la red de proteccion social. Asimismo, se aborda la fragmentacion interna del modelo de bienestar Mediterraneo, discutiendose su consistencia como regimen de bienestar ante la diversidad de trayectorias nacionales de reforma. EnglishSouthern European countries have been impacted longer and harder than other European Union members by the post-2008 economic crisis. The financial difficulties faced by Greece, Italy, Portugal and Spain have brought their welfare states under intense strain. Bail-outs and political surveillance by the European Union have triggered reform in several welfare areas. Far-reaching institutional changes and urgent transformations in social services have been paralleled by shifts and cuts in social protection in order to achieve fiscal consolidation. The article discusses the broad repertoire of reforms introduced in Southern Europe in order to tackle the quandary of targeting fiscal constraint while striving to maintain social protection thresholds. It also reviews the internal fragmentation of the Mediterranean welfare model, assessing its consistency as a welfare regime, in view of the diversity of national reform trajectories prior to and during the crisis.
Existence Solution for Fractional Mean-Field Backward Stochastic Differential Equation with Stochastic Linear Growth Coefficients

We deal with fractional mean field backwardWe deal with fractional mean field backward stochastic differential equations with hurst parameter $H\in (\frac{1}{2},1)$ when the coefficient $f$ satisfy a stochastic Lipschitz conditions, we prove the existence and uniqueness of solution and provide a comparison theorem. Via an approximation and comparison theorem, we show the existence of a minimal solution when the drift satisfies a stochastic growth condition.
A dynamic-leaf light use efficiency model for improving gross primary production estimation

Accurate quantification of terrestrial gross primary production (GPP) is integral for enhancing our understanding of the global carbon budget and climate change. The light use efficiency (LUE) model is undoubtedly the most extensively applied method for GPP estimation. However, the two-leaf (TL)-LUE model using a ‘potential’ sunlit leaf area index (LAIsu) can separate a portion of LAIsu even when the canopy does not receive any direct radiation, leading to the underestimation of GPP under cloudy and overcast days. Here, we developed a dynamic-leaf (DL) LUE model by introducing an ‘effective’ LAIsu to improve GPP estimation, which considers the comprehensive contribution of LAIsu when the canopy does and does not receive direct radiation. In particular, the new model decreases LAIsu to zero when direct radiation reaches zero. Our evaluation at eight ChinaFLUX sites showed that (1) the DL-LUE model outperformed the most well-known BL-LUE (namely, the MOD17 GPP algorithm) and TL-LUE models in reproducing the daily in situ GPP, especially at four forest sites [reducing the root mean square error (RMSE) from 1.74 g C m−2 d−1 and 1.53 g C m−2 d−1 to 1.36 g C m−2 d−1 and increasing the coefficient of determination (R 2) from 0.74 and 0.79–0.82, respectively]. Moreover, the improvements were particularly pronounced at longer temporal scales, as indicated by the RMSE decreasing from 29.32 g C m−2 month−1 and28.11 g C m−2 month−1 to 25.81 g C m−2 month−1 at a monthly scale and from 231.82 g C m−2 yr−1 and 221.60 g C m−2 yr−1–200.00 g C m−2 yr−1 at a yearly scale; (2) the DL-LUE model mitigated the systematic underestimation of the in situ GPP by both the TL-LUE and BL-LUE models when the clearness index (CI) was below 0.5, as indicated by the Bias reductions of 0.25 g C m−2 d−1 and 0.46 g C m−2 d−1, respectively; and (3) the contributions of the shaded GPP to the total GPP from the DL-LUE model were higher by 0.07–0.16 than those from the TL-LUE model across the eight ChinaFLUX sites. The proposed parsimonious and effective DL-LUE model not only has great potential for improving global GPP estimations but also provides a more mechanism-based approach for partitioning the total GPP into its shaded and sunlit components.
Estudio de la variación genética de la ruta isomerasa del D-galacturonato y análisis estructural de la enzima UxaA (D-altronato deshidratasa) para la transformación de residuos agroindustriales ricos en pectinas a etanol

Los residuos agroindustriales son una problemática a nivel mundial ya que pueden producir contaminación de los cuerpos de agua o lixiviados al ser desechados en los rellenos sanitarios. Estos residuos, como las cáscaras de algunos frutos, son muy ricos en pectinas que no pueden ser fácilmente fermentables por levaduras como la Saccharomyces cerevisiae. Por lo que se hizo una búsqueda de bacterias y hongos que posean esa maquinaria metabólica, en una base de datos construida a partir de sus secuencias nucleotídicas en un Megablastn, con los softwares DNAsp, Megay Jalview. Se seleccionó la ruta isomerasa de cuatro microorganismos como Escherichia coli,Lactoccocus lactis, Erwinia carotova, Dickeya dadantii, con el fin de entender la variabilidad genética y se obtuvo que la UxaA presentaba mayor variabilidad en la ruta isomerasa. Cada enzima UxaA fue modelada por predictores de estructura y se encontró una relación de alineamiento global proteico respecto a la distancia filogenética, por lo que se proponen las rutas isomerasas de dos microorganismos saprofitos: Erwinia carotova y Dickeya dadantii como posibles soluciones para transfectar a Saccharomyces cerevisiae como una alternativa fermentativa de estos residuos agroindustriales.
Low‐CCN concentration air masses over the eastern North Atlantic: Seasonality, meteorology, and drivers

A 20 month cloud condensation nucleus concentration (NCCN) data set from Graciosa Island (39°N, 28°W) in the remote North Atlantic is used to characterize air masses with low cloud condensation nuclei (CCN) concentrations. Low‐CCN events are defined as 6 h periods with mean NCCN<20 cm−3 (0.1% supersaturation). A total of 47 low‐CCN events are identified. Surface, satellite, and reanalysis data are used to explore the meteorological and cloud context for low‐CCN air masses. Low‐CCN events occur in all seasons, but their frequency was 3 times higher in December–May than during June–November. Composites show that many of the low‐CCN events had a common meteorological basis that involves southerly low‐level flow and rather low wind speeds at Graciosa. Anomalously low pressure is situated to the west of Graciosa during these events, but back trajectories and lagged SLP composites indicate that low‐CCN air masses often originate as cold air outbreaks to the north and west of Graciosa. Low‐CCN events were associated with low cloud droplet concentrations (Nd) at Graciosa, but liquid water path (LWP) during low‐CCN events was not systematically different from that at other times. Satellite Nd and LWP estimates from MODIS collocated with Lagrangian back trajectories show systematically lower Nd and higher LWP several days prior to arrival at Graciosa, consistent with the hypothesis that observed low‐CCN air masses are often formed by coalescence scavenging in thick warm clouds, often in cold air outbreaks.
Redesigning Expectations for Initial and Continuing Competence For Contemporary Nursing Practice

The escalating complexities of health care delivery systems and changing sociopolitical market forces compel the profession to confront the issues of promoting documentation of initial competence of students and new graduates and the continuing competence of experienced and certified practitioners. Educators, administrators, regulators, and association leaders have begun to discuss and debate these problems and the consequences of action and non-action. This article provides an overview, context and rationale for competency-based education and practice and selected methods relevant to performance assessment and related contemporary issues. The author suggests a structure for developing alternative that are flexible, efficient and effective across the broad spectrum of nursing roles and responsibilities.