Miracle-dz/UniFAR-FTUs huggingface dataset:
Cooperation under conflict: participatory hydrological modeling for science policy dialogues in the Aculeo Lake

Abstract. Hydrological modeling tools can support collaborative decision processes by visually displaying hydrological systems connections, uncertainties and gaps, as well as conflicting preferences over water management strategies. Nevertheless, many challenges remain in the real application of these technical tools to successfully implement, capture, and communicate to non-experts the complexities of coupled human hydrological systems and effectively support science policy dialogues. The disappearance of a 12 km2 lake in the Aculeo basin in Chile led to increasing socio environmental conflicts over the causes and effects of the water scarcity. A traditionally WEAP based hydrological model study aiming to explore the causes of the lake desiccation, was transformed into a multiple question driven socio hydrological modeling process to help answer the diversity of questions instigating conflict. The surface aquifer hydrological model tested a subset of socially accepted management strategies under two climate change scenarios, showing that combining more low impact, but socially acceptable adaptation measures such as using the out of season irrigation surplus (March to May), improving irrigation efficiency for agriculture industry and decreasing the grass surface in new urbanizations, would allow to recover up to half the Lake water volume even under a pessimistic climate change scenario. As presented in this article, flexible approaches and research agendas could better support the exploration of synergies towards collaboration and production of useful and socially acceptable hydrological models and water management strategies.
Parameter Identification of Nonlinear Bearing Stiffness for Turbopump Units of Liquid Rocket Engines Considering Initial Gaps and Axial Preloading

This article is devoted to developing a mathematical model of nonlinear bearing supports for turbopump units of liquid rocket engines considering initial gaps and axial preloading. In addition to the radial stiffness of the bearing support, this model also considers the stiffness of the bearing cage, the rotational speed of the rotor, axial preloading of the rotor (due to which the inner cage shifts relative to the outer, changing the radial stiffness of the support), as well as radial gaps between contact elements of the bearings. This model makes it possible to calculate the stiffness of the bearing supports more accurately. The proposed model is realized using both the linear regression procedure and artificial neural networks. The model’s reliability is substantiated by the relatively small discrepancy of the obtained evaluation results with the experimental data. As a result, this model will allow determining the critical frequencies of the rotor with greater accuracy. The results have been implemented within the experience of designing turbopump units for State Company “Yuzhnoye Design Office”.
Consumo voluntário de bovinos - Bovines voluntary intake

The animal production is determined by dry matter intake, feed nutritive value and animal response. The dry matter intake (DMI) is the first step for the nutrients input, wich are necessary for supply the demands of maintenance and production, hence the importance of this factor within a production system. In general, intake in ruminants can be regulated by three basic mechanisms: physical, physiological and psicogenic that interact with each other determining the ingestive profile of an animal to a given situation. The objective of this review was to present the main factors involved in the regulation of voluntary intake in
Using Building Control System for Commissioning

This paper summarizes the different approaches developed during Annex 40 (research project of International Energy Agency Energy Conservation in Buildings & Community Systems ) for carrying out commissioning activities using the control system. During our work we have found that control systems in buildings have the potential to greatly improve the commissioning process. In particular, control systems can be used to carry out automated testing on the energy systems in a building in a systematic way. Technologies for carrying out automated commissioning are still in their infancy and very few tools are available for practitioners to use. However, our work has demonstrated that tools can be built using existing infrastructure at relatively low cost. In many cases, tools are software programs that can be implemented on most microprocessor-based platforms.
Design strategies for high-speed,lightweight robots

Industrial robots today can lift objects no. heavier than about five percent of their own weight. Imagine a robotic weight lifter competing against the current Olympic human record of 750 lb. By today's standards, that robot would have to weigh about 15,000 lb, as opposed to its human competitor, who would weigh 165 lb (and who is "rated" at 450 percent of body weight). While this analogy is inexact, the point stands that improvements in the performance of robotic manipulators require engineers to consider the weight of the structural and drive components. The advantages of lighter weight include faster motion times for large motions, smaller actuators, lower energy consumption, reduced mounting requirements, and less weight to be transported. But there are also penalties such as lower (structural) strength and lower stiffness. The stiffness constraint arising from the dynamic and static behavior of the arm is the more critical for most uses of robotic arms. Therefore, we have concentrated on controlling the motion of robotic devices that have lightweight structures. URI http://hdl.handle. net/1853/39076 Collections Intelligent Machine Dynamics Laboratory [175] Intelligent Machine Dynamics Laboratory Publications [175] About  Terms of Use  Contact Us Emergency Information  Legal & Privacy Information  Accessibility  Accountability  Accreditation  Employment  Design strategies for high-speed lightweight robots 
Post-Stroke Treatment with Neuromuscular Functional Electrostimulation of Antagonistic Muscles and Kinesiotherapy Evaluated with Electromyography and Clinical Studies in a Two-Month Follow-Up

The aim of this study was to determine the sustained influence of personalized neuromuscular functional electrical stimulation (NMFES) combined with kinesiotherapy (mainly, proprioceptive neuromuscular facilitation (PNF)) on the activity of muscle motor units acting antagonistically at the wrist and the ankle in a large population of post-stroke patients. Clinical evaluations of spasticity (Ashworth scale), manual muscle testing (Lovett scale), and surface electromyography recordings at rest (rEMG) and during attempts of maximal muscle contraction (mcEMG) were performed three times in 120 post-stroke patients (T0: up to 7 days after the incidence; T1: after 21 days of treatment; T2: after 60 days of treatment). Patients (N = 120) were divided into two subgroups—60 patients received personalized NMFES and PNF treatment (NMFES+K), and the other 60 received only PNF (K). The NMFES+K therapy resulted in a decrease in spasticity and an increase in muscle strength of mainly flexor muscles, in comparison with the K group. A positive correlation between the increase of rEMG amplitudes and high Ashworth scale scores and a positive correlation between low amplitudes of mcEMG and low Lovett scale scores were found in the wrist flexors and calf muscles on the paretic side. Negative correlations were found between the rEMG and mcEMG amplitudes in the recordings. The five-grade alternate activity score of the antagonists’ actions improved in the NMFES+K group. These improvements in the results of controlled NMFES treatment combined with PNF in patients having experienced an ischemic stroke, in comparison to the use of kinesiotherapy alone, might justify the application of conjoined rehabilitation procedures based on neurophysiological approaches. Considering the results of clinical and neurophysiological studies, we suppose that NMFES of the antagonistic muscle groups acting at the wrist and the ankle may evoke its positive effects in post-stroke patients by the modulation of the activity more in the spinal motor centers, including the level of Ia inhibitory neurons, than only at the muscular level.
PRISE Studies on Gouge Forces and Subgouge Deformations

The Pressure Ridge Ice Scour Experiment (PRISE) joint industry program engaged directed studies to address engineering design and integrity issues for offshore pipelines and subsea facilities in harsh ice environments. One of the main activities for the PRISE program was to assess the significance of subgouge deformations imposed on buried pipelines during ice gouge events. The PRISE joint industry research program conducted analytical, numerical, experimental and field studies. Comparison of field investigations on relict gouge events with centrifuge experiments demonstrated that subgouge deformations should be considered. Models were developed to assess the gouge forces in drained uniform sands, based on the experimental failure mechanism observations. These force models are compared to those of other analytical seabed force models. The implications of the models on ice keel ablation, spoil heap development and the development of subgouge deformations are discussed.
A two-step filtering mechanism for speckle noise reduction in OCT images

Optical coherence tomography (OCT) has been widely adopted in various areas for its noninvasive and high-resolution properties. Due to it low-coherence interferometry nature, however, OCT inevitably suffers from speckle noise, which hides structural information in OCT images and thus degrades the clinical diagnosis accuracy. So far various algorithms have been proposed for OCT speckle denoising, yet few studies have evaluated the influences of speckle noise distributions on the denoising effects. This paper studies the influences of speckle noise distributions in OCT despeckling process, and a twostep filtering mechanism, namely, Augmented Lagrange function minimization and Rayleigh alpha-trimmed filtering (AR) scheme, is proposed for OCT speckle noise reductions. The speckle noise distribution models are established and estimated first, and then two different filtering mechanisms are designed for those noise distributions, respectively. Simulations with both synthetic and OCT images are conducted to verify the effectiveness of the AR scheme. Results show that AR method can suppress OCT speckle noises effectively, and outperforms the best existing methods in different cases, yet with less time computations.
Stroke Units Necessity for Patients, Web-Based "SUN4P" Registry: Descriptive Characteristics of the Population

The aim of this study was to present the descriptive characteristics of the Stroke Units Necessity for Patients (SUN4P) registry. METHODS The study population derived from the web-based SUN4P registry included 823 patients with first-ever acute stroke. Descriptive statistics were used to present patients' characteristics. RESULTS The vast majority of patients (80.4%) had an ischemic stroke, whereas 15.4% had a hemorrhagic stroke. Hypertension was the leading risk factor in both patients. The patients with ischemic stroke had higher prevalence of traditional cardiovascular risk factors such as diabetes mellitus, dyslipidemia and smoking and most commonly cryptogenic stroke (39%). National Institutes of Health Stroke Scale (NIHSS) was higher among patients with hemorrhagic in comparison to those with ischemic stroke (10.5 vs 6 respectively). Moreover, all patients had similar rate of disability prior to stroke, as shown by Modified Rankin Scale (mRS=0). CONCLUSIONS These data are in accordance with current evidence and should be thoroughly assessed in order to ensure optimal therapeutic management of stroke patients.
INITIAL HUMAN COLONIZATION OF THE AMERICAS, REDUX

ABSTRACT The study of the peopling of the Americas has been transformed in the past decade by astonishing progress in paleogenomic research. Ancient genomes now show that Native American ancestors were formed in Siberia or the Amur region by admixture of ca. 15–30% Ancient North Eurasian genes with those of East Asians. The Anzick infant, buried with Clovis bifaces at 12,900 cal BP, belonged to a group that was ancestral to later Native Central and South Americans. Fishtail points, derived from Clovis, mark the arrival and rapid expansion of Clovis-descended Paleoindians across South America, also evident in the sharp increase of radiocarbon dates, continent-wide, at 13,000–12,500 cal BP. In both North and South America, extinction of most genera of megafauna was virtually simultaneous with Paleoindian expansion. Human hunting must have been involved, perhaps in concert with other indirect impacts. Contrary to the alternative bolide impact theory, there is no evidence of a dramatic human population decline after 12,800 cal BP. Ancient genomes show that divergent lithic traditions after 13,000 cal BP need not be attributed to a separate Pacific Rim migration stream. Several recent finds raise the possibility that pre-Clovis people might have reached the Americas before 20,000 cal BP, but these precursors must have either failed to thrive, or were ultimately replaced by proto-Clovis or Clovis people. Consilient paleogenomic and archaeological data indicate that initial colonization by Paleoindian ancestors of living Native Americans occurred after 14,500 cal BP.
Developing Secure Multipath Routing (AODV-SMR) Protocol Framework Based Multipath Network Routing Protocol

Mobile ad hoc networks (MANETs) are wireless networks, which consist of mobile nodes that communicate over wireless media. MANETs are typically characterized by high mobility and frequent link failures. Since routing protocols are crucial for the success of MANETs, multipath routing can be employed to reduce link failure so that alternate paths will be available. This paper aims to develop and evaluate the performance of a new multipath routing protocol based on the ad hoc on-demand distance vector (AODV) routing protocol. It is an on-demand multipath routing protocol named ad hoc on-demand distance vector-secure multipath routing (AODV-SMR). The on-demand multipath routing protocol was evaluated against three performance metrics: packet delivery ratio, average end-to-end delay and normalized routing load. The simulation results, obtained using an OMNET++ simulator, showed that the proposed protocol exhibits significant improvement in the packet delivery ratio. It also outperformed the ad hoc on-demand multipath distance vector (AOMDV) protocol in the average end-to-end delay, and outperformed AODV in the normalized routing load metric.
Comparative Evaluation of Methods for Continuous Rotor Position Estimation using Low Resolution Hall Sensors

Permanent magnet motors used in mild hybrid vehicles are usually driven by trapezoidal control with low resolution position sensors to crank IC engines. Field oriented control (FOC) can be used for enhancing the dynamic performance, which demands high resolution position data obtained from encoder, resolver or similar sensors. Additional cost for these sensors can be avoided by estimating continuous rotor position using low-cost, low-resolution hall sensors. The accuracy of the estimation is affected by the inaccuracies in the hall sensor signals in the form of constant position error in single direction, zero position jitter and periodicity error. In this paper, comparative evaluation is discussed for three major types of rotor position estimation methods for different cases of hall sensor errors. The first method uses linear interpolation based on least squares method. The second method uses transformation of hall rotary vector into orthogonal axes and synchronous frequency tracking filter. The third method uses combination of back emf observer and hall effect sensor output with a phase locked loop (PLL) like structure. All these methods are simulated and analyzed using a MATLAB based PMSM model. The accuracy of these methods during steady state and transient operation considering different types of errors in hall sensor signals are discussed in this paper. Finally, hardware implementation of least square estimation method is presented.
Clinical Relevance and Tumor Growth Suppression of Mitochondrial ROS Regulators along NADH:Ubiquinone Oxidoreductase Subunit B3 in Thyroid Cancer

Mitochondrial reactive oxygen species (mitoROS) are a double-edged sword in cancer progression, connoting the ROS-dependent malignant transformation and the oxidative stress-induced cell death. However, the underlying role of mitoROS in thyroid cancer remains unclear. Here, we collected 35 prominent mitoROS regulators to stratify 510 thyroid cancer patients in TCGA cohort through consensus clustering. Three molecular subtypes (cluster 1/2/3) were identified, among which cluster 1 (mitoROSlow) was preferentially associated with unfavorable prognosis. Individually, there were 12 regulators with a high expression that predicted a significantly favorable progression-free survival. The NADH:Ubiquinone Oxidoreductase Subunit B3 (NDUFB3) had a highest impact. NDUFB3 knockdown significantly reduced mitoROS levels in BCPAP and C643 cells. Bioinformatically, the consistency between NDUFB3 expression and cluster 1/2/3 was confirmed; lower expression of NUDFB3 was associated with a poor clinical outcome. Pathway analysis of differentially expressed genes in the NDUFB3low and NDUFB3high cohorts revealed a predominance of oxidative phosphorylation pathway changes. Consistently, mitochondrial functions, including oxygen consumption rate, ATP levels, complex I activity, mitoROS levels, and the expression of mitochondrially encoded NADH:Ubiquinone oxidoreductase core subunit 5, were significantly increased in NDUFB3-overexpressed BCPAP cells or C643 cells. The in vivo NDUFB3 overexpression and sideroxylin treatment significantly suppressed tumor growth and prolonged survival, concurrently elevating mitoROS levels ex vivo in mouse xenograft models. Conversely, NDUFB3 knockdown had the opposite effect. Together, these findings implicated the importance of mitoROS regulators in predicting clinical outcomes of patients with thyroid cancer. Our findings may pave the way for developing a mitoROS-based treatment for thyroid cancer patients.
Indirect Genetic Effects of ADIPOQ Variants on Lipid Levels in a Sibling Study of a Rural Chinese Population

Variations in lipid levels are the result of combinations of genetic and environmental factors. We aim to investigate the indirect effect between siblings of the three polymorphisms of ADIPOQ on serum lipid levels in rural Chinese populations. A total of 2571 sibling pairs were enrolled as study participants. A generalized estimating equation was used to accommodate a family-based design. We used stratified analysis to detect sex combination differences in the indirect genetic effect. We found a significant association between the number of altered risk alleles of rs182052 and ego lipid levels of TG (β = 0.177, P = 0.003), TC (β = 0.140, P = 0.004) and LDL-C (β = 0.098, P = 0.014). Ego and altered genotypes of rs182052 demonstrated a joint effect on ego lipid levels of TC (β = 0.212, P = 0.019), HDL-C (β = 0.099, P = 0.002) and LDL-C (β = 0.177, P = 0.013) in recessive inheritance mode. In opposite-sex siblings, the altered GG genotype of rs182052 increased the ego lipid levels. Thus, our findings demonstrate that ADIPOQ has an indirect genetic effect on lipid levels in sibling pairs, and there are sex-combination differences in the indirect genetic effect in siblings.
Social Appearance Anxiety, Automatic Thoughts, Psychological Well-Being and Social Media Addiction in University Students

This study aimed to determine the relationships between social appearance anxiety, automatic thoughts, psychological well-being and social media addiction and the predictive power of these variables on social media addiction. The sample of the study consists of 440 associate degrees, undergraduate and postgraduate students studying in various universities in Turkey. Demographic Information Form, Social Media Addiction Scale, Automatic Thoughts Scale and Psychological Well-being Scale were used as data collection tools in the study. Independent group t-test, one-way ANOVA, Pearson correlation coefficient and hierarchical regression analysis methods were used for the analysis of the obtained data. As a result of the analysis, it was found that there was a positive correlation between social appearance anxiety, automatic thoughts and social media addiction and a negative correlation between social media addiction and psychological well-being. According to the analysis, it was concluded that automatic thoughts and social appearance anxiety significantly predicted social media addiction, while psychological well-being did not significantly contribute to the model. Findings were discussed in light of the relevant literature.
Characterization of Black Carbon Mixing State

This measurement characterizes the types of BC emissions that result in near­surface BC­ containing particles in a region that is dominated by biomass and open pit/stove cooking. Specifically, examine three primary BC emission sources: (i) urban setting (e.g., fossil fuel emissions); and (ii) biomass burning. Source (i) are captured at the Indian Institute of Science (IISc) in Bangalore. Biomass emissions (ii) contains a series of 1­2 day measurement excursions to the rural area surrounding Bangalore.
Development of Student-Centered Learning With Problem-Based Learning Through Blended Learning In 3.B Block (Normal Delivery Care)

3.B Block is the second block that give students the opportunity to understand the concepts, changes and mechanisms of normal delivery, basic needs of mothers in labor, implementation of assessments of mothers in labor and neonates, determining planning, management and evaluation of labor. This study applies a blended learning and tutorial in the PBL method to improve students’ critical thinking skills. This Classroom Action Research was held at the Undergraduate Program of Midwifery, Faculty of Medicine, Andalas University. The subject of this study was the third semester student in the 2021/2022 academic year . This study compares the development of student scores from the first meeting to the fourth meeting of the tutorial. Data collection tools using assessment sheets and written tests. The results showed that the blended learning model could improve students' creative thinking skills. The increase in the average value of students' creative thinking abilities from 79,24 at the fisrt meeting to 84,69 at the fourth meeting. This study also showed the increased value of the pre-test and post-test scores of students. Where the results showed that the majority of students had a score range in 75-79 (30.30%).