Miracle-dz/UniFAR-FTUs huggingface dataset:
Day-Ahead Energy and Reserve Dispatch Problem under Non-Probabilistic Uncertainty

The current energy transition and the underlying growth in variable and uncertain renewable-based energy generation challenge the proper operation of power systems. Classical probabilistic uncertainty models, e.g., stochastic programming or robust optimisation, have been used widely to solve problems such as the day-ahead energy and reserve dispatch problem to enhance the day-ahead decisions with a probabilistic insight of renewable energy generation in real-time. By doing so, the scheduling of the power system becomes, production and consumption of electric power, more reliable (i.e., more robust because of potential deviations) while minimising the social costs given potential balancing actions. Nevertheless, these classical models are not valid when the uncertainty is imprecise, meaning that the system operator may not rely on a unique distribution function to describe the uncertainty. Given the Distributionally Robust Optimisation method, our approach can be implemented for any non-probabilistic, e.g., interval models rather than only sets of distribution functions (ambiguity set of probability distributions). In this paper, the aim is to apply two advanced non-probabilistic uncertainty models: Interval and ϵ-contamination, where the imprecision and in-determinism in the uncertainty (uncertain parameters) are considered. We propose two kinds of theoretical solutions under two decision criteria—Maximinity and Maximality. For an illustration of our solutions, we apply our proposed approach to a case study inspired by the 24-node IEEE reliability test system.
Optimal Power Allocation for Cooperative Pattern Division Multiple Access Systems

This study focuses on the power allocation (PA) problem in code division multiple access (PDMA) networks with amplify-and-forward (AF) relays. We provide two wireless communication technical performance indexes, which are system throughput and outage probability. A multiobjective version of particle swarm optimization is proposed to solve Pareto-optimal solutions for optimal PA problems. A novel programming model is built based on improvement of constraint functions, and the accuracy and efficiency of solution can be improved via compact constraints. The technique for order preference by similarity to an ideal solution is proposed to balance the performance indicators, which include outage probability and system throughput. It has been calculated that the proposed approach for optimal PA is verified and performs better than a genetic algorithm approach.
Youth Centres as Foodscapes and Informal Learning Environments in Finland

Although not adequately studied in the research on youth work, food is and has been an integral element of youth centres. This article examines what characterizes youth centres as foodscapes and explores which aspects of youth centres support the food-related learning of young people. We merge the traditions of youth work research, food education and learning. The data of the study consist of two rounds of focus group interviews (N = 14) conducted with young people aged 13 to 17. The data are qualitatively analysed using the five aspects meal model, which was developed to analyse foodscapes. The results of this study suggest that when youth centres, as foodscapes, are based on the active participation of young people and offer them opportunities to have an influence on the activities and work with peers, it is easier for young people to be inspired and learn.
Removal of Mn(II) from Ground Water by Solid Wastes of Sugar Industry

The potential to remove or reduce the risk of Mn(II) from ground water through adsorption using Sugar Cane Bagasse (SCB) and Beet Pulp (BP) as a low cost natural wastes was investigated. The SCB and BP were characterized using Fourier transform infrared spectra (FT-IR) and Scanning Electron Microscope (SEM). The adsorption was taken in batch experiments under different parameters such as pH (2.0-10.0), weight of phase (0.25-2.5 g), contact times (10-180 min), initial concentration (2.0-10.0 ppm). Under the optimum conditions, the percentage removals of Mn(II) using SCB and BP were 62.5 and 86.36%, respectively. The rate limiting step of the adsorption was studied using different kinetic models such as pseudo-first-order, pseudo-secondorder adsorption equation, elovich equation and the intraparticle diffusion model. Kinetics data was best fitted with the pseudo-second-order type. This method has been successfully applied for reduce the risk of Mn(II) from ground water samples.
A person-situation perspective of informal learning: the role of supervisor feedback environment

Purpose Based on trait activation theory, the purpose of the present study is to explore the relationship between the antecedents and outcomes of informal learning with the moderating effect of supervisor feedback environment (SFE) in small- and medium-sized enterprises (SMEs). Design/methodology/approach Data (n = 388) were gathered from middle managers of Pakistan’s SME sector by following the purposive sampling technique. The proposed model was examined by means of structural equation modeling analysis with AMOS 24. Findings The study results delineate that middle managers with high-level self-efficacy and motivation to learn more actively participate in informal learning activities. The study also found that the SFE is a strong contextual moderator between the nexus of personal factors and informal learning. In addition, informal learning also has significant and positive effect on work engagement. Practical implications Human resource practitioners and organizational leaders of small businesses can use informal learning to improve employees’ skills and knowledge with less cost. For instance, management should use different strategies to enhance the effectiveness of informal learning by providing SFE. Originality/value There are numerous recent calls for research to ascertain the interaction of individual, contextual factors and outcomes of informal learning. The study addresses these voids by empirically examining antecedents and outcomes of informal learning simultaneously through the person–situation interaction perspective. It demonstrates that informal learning at the workplace becomes more effective in SFE.
Effect of N-acetyl cysteine on oxidative stress and Bax and Bcl2 expression in the kidney tissue of rats exposed to lead

December 2021 This study aimed to consider the lead-induced oxidative damage of the kidney of male rats and the role of antioxidant N-acetylcysteine (Nac) in preserving cells against Pb toxicity. rats were randomly divided into five groups including G1 (control), G2 (single 70 mg/kg dose of Pb), G3 (continuous daily 2 mg/kg dosing of Pb for 4 weeks), G4 (single dose of Pb + 50 mg/kg NAC), and G5 (continuous daily dosing of Pb + 50 mg/ kg Nac). The level of malonic dialdehyde (Mda) and total antioxidant capacity were measured spectropho-tometrically.The level of Pb in serum and kidney tissue was measured by atomic absorption spectroscopy. expression of Bax and Bcl2 genes was estimated using rT-Pcr. It was shown that single and continuous exposure to Pb caused a considerable increase of Pb content in serum and kidney tissue of rats in G2 and G3 groups compared to other groups. NAC treatment significantly improved TAC values and decreased MDA val ues in the serum of rats exposed to Pb. Single and continuous Pb dosing caused a 3.9- and 13.1-fold increase in Bax expression and 1.5-fold and 2.1-fold decrease in Bcl2 expression in a kidney tissue respectively. The current study revealed that single and especially continuous Pb exposure was strongly associated with Pb accumulation, antioxidant depletion, oxidative stress and kidney cells apoptosis. Nac can help protect kidney tissue against Pb by elevating antioxidant capacity, mitigating oxidative stress and normalizing Bax and Bcl2
Task, usability, and error analyses of ambulance-based telemedicine for stroke care

Abstract Past research has established that telemedicine improves stroke care through decreased time to treatment and more accurate diagnoses. The goals of this study were to 1) study how clinicians complete stroke assessment using a telemedicine system integrated in ambulances, 2) determine potential errors and usability issues when using the system, and 3) develop recommendations to mitigate these issues. This study investigated use of a telemedicine platform to evaluate a stroke patient in an ambulance with a geographically distributed caregiving team comprised of a paramedic, nurse, and neurologist. It first determined the tasks involved based on 13 observations of a simulated stroke using 39 care providers. Based on these observational studies, a Hierarchical Task Analysis (HTA) was developed, and subsequently, a heuristic evaluation was conducted to determine the usability issues in the interface of the telemedicine system. This was followed by a Systematic Human Error Reduction and Prediction Approach (SHERPA) to determine the possibility of human error while providing care using the telemedicine work system. The results from the HTA included 6 primary subgoals categorizing the 97 tasks to complete the stroke evaluation. The heuristic evaluation found 123 unique violations to heuristics, with an average severity of 2.38. One hundred and thirty-one potential human errors were found with SHERPA, the two most common being miscommunication and selecting an incorrect option. Several recommendations are proposed, including improvement of labeling, consistent formatting, rigid or suggested formatting for data input, automation of task structure and camera movement, and audio/visual improvements to support communication.
A New Generation of Sustainability Governance: Potentials for 2030 Agenda Implementation in Swiss Cantons

Governments and administrations at all levels play a central role in shaping sustainable development. Over the past 30 years, many have developed differentiated sustainability governance arrangements (SGAs) to incorporate sustainability into their governing practice. The 2030 Agenda for Sustainable Development, which the UN adopted in 2015, brings with it some significant conceptual shifts in sustainability thinking that, in turn, entail new governance requirements. Starting from practical calls for improved understanding of the requirements and conditions of 2030 Agenda implementation ‘on the ground,’ this article examines existing SGAs’ potential to deal with the generational shift that the 2030 Agenda implies. To this end, four ideal-typical SGAs representing an early generation of sustainability governance at the subnational level in Switzerland are related to five specific governance requirements emerging from the 2030 Agenda. The analysis highlights different possibilities and limitations of the four SGAs to meet 2030 Agenda requirements and points to the need for context-specific reforms of first-generation sustainability governance in the wake of the new Agenda.
Accurate 3D Localization Using RGB-TOF Camera and IMU for Industrial Mobile Robots

SUMMARY Localization based on visual natural landmarks is one of the state-of-the-art localization methods for automated vehicles that is, however, limited in fast motion and low-texture environments, which can lead to failure. This paper proposes an approach to solve these limitations with an extended Kalman filter (EKF) based on a state estimation algorithm that fuses information from a low-cost MEMS Inertial Measurement Unit and a Time-of-Flight camera. We demonstrate our results in an indoor environment. We show that the proposed approach does not require any global reflective landmark for localization and is fast, accurate, and easy to use with mobile robots.
Prevalence of non-alcoholic fatty liver disease in postmenopausal woman: systematic review and meta-analysis

and full content of articles, 25 studies were retrieved. Overall, the NAFLD prevalence was 30.81% (95% CI 24.75-37.22). The prevalence of NAFLD in postmenopausal women was 31.64% (95% CI 25.82-37.77) in Asia countries compared to 27.99% (95% CI 11.2148.72) in Non-Asia countries. Ultrasound was the most commonly used diagnostic technique in diagnosing NAFLD in postmenopausal women, lead a higher prevalence of NAFLD (32.77%, 95% CI 27.4338.35) than computed tomography (CT, 5.64%, 95% CI 4.82-6.52) or fatty live index (FLI, 17.33%, 95% CI 11.72-23.78, P< 0.01). Conclusion: Approximately one third of postmenopausal women presented with NAFLD indicateda ratherhighprevalencewhich call for theattention of primary care physicians, specialists, and health policymakers.
Trait‐based adaptability of Phragmites australis to the effects of soil water and salinity in the Yellow River Delta

Abstract Phragmites australis is the dominant species in the Yellow River Delta and plays an important role in wetland ecosystems. In order to evaluate the relationship between phenotypic variation and environmental factors, explore how functional traits respond to changes in electrical conductivity and soil water content, and reveal the ecological strategies of P. australis, we investigated the ecological responses of P. australis to soil properties based on 96 plots along the coastal–inland regions in the Yellow River Delta of China. Within the range of soil water content (SWC, 9.39%–36.92%) and electrical conductivity (EC, 0.14–13.29 ms/cm), the results showed that (a) the effects of salinity were more important than the soil water content for the characterization of the morphological traits and that plant functional traits including leaf traits and stem traits responded more strongly to soil salinity than soil water content; (b) compared with morphological traits such as average height and internode number, physiological traits such as SPAD value, as well as morphological traits closely related to physiological traits such as specific leaf area and leaf thickness, showed stronger stability in response to soil water and salinity; and (c) under the condition of high electrical conductivity, P. australis improved its water acquisition ability by increasing indicators such as leaf water content and leaf thickness. In addition, with the increase in plant tolerance to stress, more resources were used to resist external stress, and the survival strategy was inclined toward the stress tolerator (S) strategy. Under low EC conditions, P. australis increased specific leaf area and leaf area for its growth in order to obtain resources rapidly, while its survival strategy gradually moved toward the competitor (C) strategy.
Synthesis, antimicrobial and anthelmintic activity of some novel benzimidazole derivatives

New benzimidazole derivatives containing 4-chloropyridine-2-carbonyl and N-methyl picolinamide moieties in one side chain at 1H position of benzimidazoles (2- ((benzylthio)methyl)-1H-benzo[d]imidazol-1-yl)(4-chloropyridin-2-yl)methanones(3) have been synthesized as depicted in scheme-1. The intermediates and final compounds were purified and their chemical structures have been confirmed by IR, 1H NMR, and Mass spectral data. All the derivatives were examined for their anthelmintic activity against Indian adult earthworms (pheretima posthuma) at various concentrations (0.2% and 0.5%), antibacterial activity against B.subtilis, B.cereus, S.epidermidis, S.typhi, P.aeruginosa and K.pneumoniae and antifungal activity against A.flavus, F.oxysporium and P.notatum at a concentration of 2mg/ml. Most of the compounds tested have shown promising activities when compared with the standard drugs.
Increasing Sustainability through Wine Tourism in Mass Tourism Destinations. The Case of the Balearic Islands

This study explores the potential contribution to economic and cultural sustainability of fostering wine tourism activity in a Mediterranean mature mass tourism destination like the Balearic Islands. A causal model was designed linking winery visitors’ satisfaction with both the local wines and the visit to the winery and future purchasing intentions as well as the interest in the destination cultural offer, global satisfaction with the trip, and image of the destination. Field research was carried out within the wineries where a questionnaire was administered personally to a sample of 200 winery visitors. The managers of the wineries were contacted previously to ensure their cooperation in the research. The statistical method used for the analysis of the exploratory causal model was the Partial Least Squares (PLS) regression. Results indicate that there is a great growth potential for wine tourism activity in the islands with important positive externalities on gastronomic tourism and the overall image of the Islands. Results show that wine tourism might boost the sales and exports of wine in the medium and long term. Finally, it can be concluded that there are important synergies between rural tourism, mass tourism, and wine tourism in the islands which are still not sufficiently optimized, and that greater support to wine tourism development could contribute not only to a more sustainable rural development but also to a more sustainable tourist activity overall within a more diversified economy.
Joint Symbol Level Precoding and Combining for MIMO-OFDM Transceiver Architectures Based on One-Bit DACs and ADCs

Herein, a precoding scheme is developed for orthogonal frequency division multiplexing (OFDM) transmission in multiple-input multiple-output (MIMO) systems that use one-bit digital-to-analog converters (DACs) and analog-to-digital converters (ADCs) at the transmitter and receiver, respectively, as a means to reduce the power consumption. Two different one-bit architectures are presented. In the first, a single user MIMO system is considered where the DACs and ADCs of the transmitter and the receiver are assumed to be one-bit and in the second, a network of analog phase shifters is added at the receiver as an additional analog-only processing step with the view to mitigate some of the effects of coarse quantization. The precoding design problem is formulated and then split into two NP-hard optimization problems, which are solved by an algorithmic solution based on the Cyclic Coordinate Descent (CCD) framework. The design of the analog post-coding matrix for the second architecture is decoupled from the precoding design and is solved by an algorithm based on the alternating direction method of multipliers (ADMM). Numerical results show that the proposed precoding scheme successfully mitigates the effects of coarse quantization and the proposed systems achieve a performance close to that of systems equipped with full resolution DACs/ADCs.
Candida glabrata: Laboratuvar Tanısı ve Mikrobiyolojik Özellikleri, Epidemiyolojisi, Virulans Faktörleri ve Klinik Hastalıkları

Candida glabrata is a yeast genus fungus that can be found in the normal flora of healthy individuals and can lead to various infections in humans. Candida species cause local infections as well as fatal systemic infections. Recent years have seen an increase in the isolation rate of non- Candida albicans species, especially Candida glabrata . The most important reason for this increase is the change in factor distribution with prophylactic and empirical use of fluconazole. There are articles in the world and in our country reporting that the second isolation frequency after C. albicans is Candida glabrata . Unlike other Candida species, C. glabrata are not dimorphic; C. glabrata are found both commensally and pathogenically as blastoconidia. C. glabrata infections are difficult to treat and are often resistant to many azole antifungal agents, especially fluconazole. As a result, C. glabrata infections are among infections with a high mortality rate.
Porous Design of SiCNWs/SiC Nanocomposites with High Strength and Low Thermal Conductivity

Porous SiC composites with lightweight, high strength and low thermal conductivity design can be obtained by constructing porous silicon carbide nanowires (SiCNWs) network and controlling chemical vapor infiltration (CVI) process. The SiCNWs network with an optimized volume fraction (13.6%) and uniform structure is prepared by mixing SiCNWs and polyvinyl alcohol (PVA) firstly. SiCNWs reinforced porous SiC composite (SiCNWs/SiC) with a small uniform pore can be obtained by controlling the chemical deposition kinetics. The morphology of the grown SiC matrix, from the spherical particles to the hexagonal pyramid particles, can be influenced by the deposition parameters like temperature and reactive gas concentration. The strength of the lightweight SiCNWs/SiC composites reach 47.8 MPa with a porosity of 64% and thermal conductivity of 1.2 W/(m∙K), which shows the toughening effect and insulation design with low thermal conductivity.
Analog Low-Latency Kramers-Kronig optical Single-Sideband Receiver

Kramers-Kronig (KK) receivers have been shown to be able to cancel the signal-signal beat interference that occurs upon direct-photodetection in optical single-sideband systems, where the transmitted optical field is proportional to the modulation signal (Field-Modulated Direct-Detection systems). They can support complex modulation formats, and being single-sideband, electronic dispersion compensation, without the need for a coherent receiver. All current research has used digital-signal processing (DSP) to implement the KK algorithm. Radio-frequency KK receivers using analog processing were first introduced in the 1960's, and offer an alternative to DSP, particularly in their approximate form. Analog processing is inherently real-time and offers the lowest latency (processing delay). In this paper, we show that with minor changes, analog processing can also be used with signals from a photodetector. We have built an experimental receiver, using standard parts that have functionality that approximates to the desired algorithm. In particular, we show that a differential pair of bipolar transistors can approximate a square-root function, that the Hilbert transform can be approximated by an 8-tap transmission-line delay, and that a commercial analog multiplier chip can be used for a squaring and subtraction function. The system is demonstrated with 16-QAM at 500 Mbit/s with the photocurrent emulated in software and the KK algorithm performed in hardware. Finally, software band-limits the signal, down-converts it to form a constellation, and calculates symbol error rates. We show that the analog KK reduces the symbol error rate by at least a factor of ten, enabling low carrier-to-signal power ratios to be used with standard forward error correction. Much higher data rates could be supported using custom-designed microwave ASICs, which could be incorporated in packaged receivers. This would enable miniaturized receivers using standard DSP to work with dispersion-limited links. Interestingly, half the benefit could be gained by simply re-biasing the differential stage of a standard photoreceiver.