Miracle-dz/UniFAR-FTUs huggingface dataset:
How Does Public Service Motivation Affect the Proactive Service Behaviors of Grid Workers? A Study of Survey Evidence from Eastern China

In China, grid workers have increasingly become an indispensable and important force in basic social governance. They not only undertake several tasks, such as gaining publicity, collecting information, resolving conflicts, and assisting in management, but they also actively serve the grid residents enthusiastically and engage in proactive service behaviors. In order to better cultivate this important force, we hope to have a better understanding of the factors contributing to the behavioral performance of grid workers, especially the impact of organizational and personal factors. In this study, we sought to establish what factors influence the proactive service behaviors of grid workers. Based on a theoretical consideration of factors such as public service motivation, occupational identity, and organizational climate, a multi-factor influence hypothesis model was constructed to explain the proactive service behaviors of these workers. By analyzing data based on 348 paired survey samples received in two stages in eastern China, these hypotheses were then tested. The results reflect that grid workers’ public service motivation can stimulate proactive service behaviors. Furthermore, occupational identity plays a mediating role, while organizational support and organizational service climate play a positive moderating role between public service motivation and occupational identity. This finding clarifies the important influencing factors of proactive service behaviors among grassroots workers, such as grid workers, and has important implications for how to effectively motivate these groups to provide more proactive services, promoting their sustainable development and improve the effectiveness of grassroots governance.
1 Compositional Time Series Past and Present

This survey reviews diverse academic production on compositional dynamic series analysis. Although time dimension of compositional series has been little investigated, this kind of data structure is widely available and utilized in social sciences research. This way, a review of the state-of-the-art on this topic is required for scientist to understand the available options. The review comprehends the analysis of several techniques like autoregresive integrate moving average (ARIMA) analysis, compositional vector autoregression systems (CVAR) and state space techniques but most of these are developed under Bayesian frameworks. As conclusion, this branch of the compositional statistical analysis still requires a lot of advances and updates and, for this same reason, is a fertile field for future research. Social scientists should pay attention to future developments due to the extensive availability of this kind of data structures in socioeconomic databases. FIRST DRAFT September 15, 2005 [COMMENTS ARE WELCOME]
Peculiarities of Unmanned Aerial Vehicle Use in Crop Production in Russia: A Review

This review article examines the potential for intensifying Russian crop production through digital transformation, particularly through the use of unmanned aerial vehicles (UAVs). (1) The importance of this topic is driven by declining food security in some parts of the world and the Russian government’s goal to increase grain exports by 2050. (2) Comparisons of agriculture technologies suggest that the use of UAVs for crop treatment with agrochemicals is economically effective in certain cases. (3) Specifically, UAV treatment is advantageous for plots with irregular shapes, larger than 2 ha, and containing between 9 and 19% infertile land. It is also important to agree on the flight parameters of the UAV, such as speed and altitude, as well as the type of on-board sprayer and agrochemical. In case of insufficient funds or expertise, it is recommended to hire specialized companies. (4) The listed peculiarities of Russian crop production led to assumptions about the regions where the use of UAVs for agrochemical treatment of crops would be economically effective.
The Effect of Self Learning regarding Food –Borne Diseases on Knowledge and Practices of Primary School Teachers

Background : Foodborne diseases are challenge to global health. These diseases are caused by consuming contaminated food and can range in severity from mild discomfort to life-threatening illness. Therefore, food safety healthy instructions can help in preventing the spread of food borne diseases especially in primary school stage. Aim: Evaluate the effect of self-learning regarding food borne diseases on knowledge and practices of primary school teachers. Subjects and Method: Study design: a quasi-experimental research design. Setting: This study was carried out in ten primary schools which were selected randomly from (forty - seven) schools which are the total number of primary schools at Tanta city. Subjects: The total sample was 150 primary school teachers were chosen by systematic random sample technique. Tools of the study: Two tools were used to collect the needed data, Tool I : A structured questionnaire sheet to assess socio demographic characteristics of the teachers and teachers' knowledge regarding food borne diseases. Tool ІІ : Teachers' reported practices regarding prevention of food borne diseases . Results: The majority (89.3%) of the studied school teachers had poor knowledge score before self-learning intervention while after self-learning intervention there was an amazing improvement in their knowledge as 99.3% of them had good knowledge score. In addition, the majority (93.3%) of the studied school teachers reported unsatisfactory practices before self-learning, while 88% of them reported satisfactory practices after self-learning intervention. Conclusion: Self-learning intervention was effective in improving in teacher's knowledge and practices regarding food borne diseases . Recommendations: Encouraging continuous training and self-learning of primary school teachers to enhance their knowledge and practices related to food safety and prevention of food borne diseases
Exploring the nexus between sustainability and food events

Objective: Food tourism can have social, economic, and environmental benefits. However, its environmental impact is high. Food festivals need to be managed in a sustainable perspective that reduces their environmental footprint and contributes to the economic and social development of communities. This article aims to describe the literature linking food events and sustainability, to pave the way for further research to contribute to sustainable development.Methodology: The PRISMA model is used to structure and document the conducted review. A descriptive and narrative analysis will be carried out by analysing time, impact of journals, main authors, and methodological characteristics. Finally, the main objectives, contributions and limitations are highlighted.Results: The search reveals a scarce literature on the subject. The studies are mostly empirical and use different analytical techniques. However, it is difficult to generalise the results. In addition, there is a paucity of articles dealing exclusively with waste management, which calls for progress in this area of research. There is a need for further research in this area. There is an opportunity for publication by young researchers or for the development of new lines of research.Limitations: The information could be extended by using other databases and analysed with bibliometric or content analysis software.Practical implications: This study gathers information that can help organisers of food events to identify sustainable practices and reduce their environmental impact.
Nucleoredoxin Redox Interactions Are Sensitized by Aging and Potentiated by Chronic Alcohol Consumption in the Mouse Liver

Aging is characterized by increased reactive species, leading to redox imbalance, oxidative damage, and senescence. The adverse effects of alcohol consumption potentiate aging-associated alterations, promoting several diseases, including liver diseases. Nucleoredoxin (NXN) is a redox-sensitive enzyme that targets reactive oxygen species and regulates key cellular processes through redox protein–protein interactions. Here, we determine the effect of chronic alcohol consumption on NXN-dependent redox interactions in the liver of aged mice. We found that chronic alcohol consumption preferentially promotes the localization of NXN either into or alongside senescent cells, declines its interacting capability, and worsens the altered interaction ratio of NXN with FLII, MYD88, CAMK2A, and PFK1 proteins induced by aging. In addition, carbonylated protein and cell proliferation increased, and the ratios of collagen I and collagen III were inverted. Thus, we demonstrate an emerging phenomenon associated with altered redox homeostasis during aging, as shown by the declining capability of NXN to interact with partner proteins, which is enhanced by chronic alcohol consumption in the mouse liver. This evidence opens an attractive window to elucidate the consequences of both aging and chronic alcohol consumption on the downstream signaling pathways regulated by NXN-dependent redox-sensitive interactions.
Modeling Sulfate Attack in Modern Concrete for Building Sustainable and Resilient Infrastructure

External sulfate attack is known to be the most widespread and common form of chemical degradation of concrete infrastructure and requires extensive rehabilitation within a few years of construction. In spite of numerous studies done in this field, damage due to sulfate attack is still not fully understood because of its complex mechanism and varied effects induced by different sulfate solutions. While experimental investigations indicate expansion as a damage parameter, softening of the concrete surface and mass loss due to spalling are widely considered in the field. Moreover, the accelerated experiments lack credibility due to their inherent limitations associated with the changing pH, and the unrealistically high concentration of sulfate ions and temperatures. Existing models account for expansion of concrete and crystallization pressure developed by expansive crystal growth due to long-term exposure, but do not consider the osmotic suction effect caused by the spatial gradient of the solute concentration in the pore solution. In this work, poroelastic theory has been applied to demonstrate the effect of osmotic suction on the crack initiating tensile stresses in concrete exposed to sulfate solutions. It has been found that high instantaneous tensile tangential stress can be developed at the concrete surface when the specimen is exposed to sulfate solution. This stress can be attributed to the strain differential and pressure gradient caused by the osmotic suction.
Climate Variability and Change of Mediterranean-Type Climates

Mediterranean-type climates are defined by temperate, wet winters, and hot or warm dry summers and exist at the western edges of five continents in locations determined by the geography of winter storm tracks and summer subtropical anticyclones. The climatology, variability, and long-term changes in winter precipitation in Mediterranean-type climates, and the mechanisms for model-projected near-term future change, are analyzed. Despite commonalities in terms of location in the context of planetary-scale dynamics, the causes of variability are distinct across the regions. Internal atmospheric variability is the dominant source of winter precipitation variability in all Mediterranean-type climate regions, but only in the Mediterranean is this clearly related to annular mode variability. Ocean forcing of variability is a notable influence only for California and Chile. As a consequence, potential predictability of winter precipitation variability in the regions is low. In all regions, the trend in winter precipitation since 1901 is similar to that which arises as a response to changes in external forcing in the models participating in phase 5 of the Coupled Model Intercomparison Project. All Mediterranean-type climate regions, except in North America, have dried and the models project further drying over coming decades. In the Northern Hemisphere, dynamical processes are responsible: development of a winter ridge over the Mediterranean that suppresses precipitation and of a trough west of the North American west coast that shifts the Pacific storm track equatorward. In the Southern Hemisphere, mixed dynamic–thermodynamic changes are important that place a minimum in vertically integrated water vapor change at the coast and enhance zonal dry advection into Mediterranean-type climate regions inland.
New Progress on London Dispersive Energy, Polar Surface Interactions, and Lewis’s Acid–Base Properties of Solid Surfaces

The determination of the polar surface free energy, polar properties, and Lewis’s acid base of solid materials is of capital importance in many industrial processes, such as adhesion, coatings, two-dimensional films, and adsorption phenomena. (1) Background: The physicochemical properties of many solid particles were characterized during the last forty years by using the retention time of injected well-known molecules into chromatographic columns containing the solid substrates to be characterized. The obtained net retention time of the solvents adsorbed on the solid, allowing the determination of the net retention volume directly correlated to the specific surface variables, dispersive, polar, and acid–base properties. (2) Methods: Many chromatographic methods were used to quantify the values of the different specific surface variables of the solids. However, one found a large deviation between the different results. In this paper, one proposed a new method based on the London dispersion equation that allowed the quantification of the polar free energy of adsorption, as well as the Lewis’s acid–base constants of many solid surfaces. (3) Results: The newly applied method allowed us to obtain the polar enthalpy and entropy of adsorption of polar model organic molecules on several solid substrates, such as silica, alumina, MgO, ZnO, Zn, TiO2, and carbon fibers. (4) Conclusions: our new method based on the separation between the dispersive and polar free surface energy allowed us to better characterize the solid materials.
Service quality in cloud gaming: instrument development and validation

PurposeThe global market for cloud gaming is growing rapidly. How gamers evaluate the service quality of this emerging form of cloud service has become a critical issue for both researchers and practitioners. Building on the literature on service quality and software as a service, this study develops and validates a gamer-centric measurement instrument for cloud gaming service quality.Design/methodology/approachA three-step measurement instrument development process, including item generation, scale development and instrument testing, was adopted to conceptualize and operationalize cloud gaming service quality.FindingsCloud gaming service quality consists of two second-order constructs of support service quality and technical service quality with seven first-order dimensions, namely rapport, responsiveness, reliability, compatibility, ubiquity, smoothness and comprehensiveness. The instrument exhibits desirable psychometric properties.Practical implicationsPractitioners can use this new measurement instrument to evaluate gamers' perceptions toward their service and to identify areas for improvement.Originality/valueThis study contributes to the service quality literature by utilizing qualitative and quantitative approaches to develop and validate a new measurement instrument of service quality in the context of cloud gaming and by identifying new dimensions (compatibility, ubiquity, smoothness and comprehensiveness) specific to it.
Harnessing microRNA-enriched extracellular vesicles for liquid biopsy

Extracellular microRNAs (miRNAs) can be detected in body fluids and hold great potential as cancer biomarkers. Extracellular miRNAs are protected from degradation by binding various proteins and through their packaging into extracellular vesicles (EVs). There is evidence that the diagnostic performance of cancer-associated extracellular miRNAs can be improved by assaying EV-miRNA instead of total cell-free miRNA, but several challenges have hampered the advancement of EV-miRNA in liquid biopsy. Because almost all types of cells release EVs, cancer cell-derived EVs might constitute only a minor fraction of EVs in body fluids of cancer patients with low volume disease. Furthermore, a given cell type can release several subpopulations of EVs that vary in their cargo, and there is evidence that the majority of EVs contain low copy numbers of miRNAs. In this mini-review, we discuss the potential of several candidate EV membrane proteins such as CD147 to define cancer cell-derived EVs, and approaches by which subpopulations of miRNA-rich EVs in body fluids might be identified. By integrating these insights, we discuss strategies by which EVs that are both cancer cell-derived and miRNA-rich could be isolated to enhance the diagnostic performance of extracellular miRNAs.
The Efficient Extraction of β-Carotene from Sea Buckthorn Berries Using a Novel Solvent, Fatty Acid Ethyl Esters, and a Combination of Ultrasound and Microwave

The move towards environmentally friendly processing has been a driving force for research into green methods for the extraction of bioactive compounds from plant materials. In this study, a green and efficient process for the extraction of β-carotene from sea buckthorn berries through the simultaneous use of ultrasound and microwave, using a novel green solvent, fatty acid ethyl esters (FAEE), is described. For the same extraction time (45 min), the β-carotene content in the extract was significantly increased (according to ANOVA analysis—p < 0.05) by the simultaneous use of ultrasound and microwave, compared with the separate use of these technologies—an increase of 15 and 89% compared with ultrasound-assisted extraction (UAE) and microwave-assisted extraction (MAE), respectively. The resulting extract can be used directly, without further purification, as a food supplement because the solvent itself is safe for consumption. Furthermore, FAEE contains omega-3 and omega-6 fatty acids which add to the health benefits of the extract. When β-carotene is extracted from the plant matrix, it is subjected to degradation due to oxidation, but the addition of the antioxidant vitamin E (13 mg/mL of extract) to the extract extends its stability to more than 90 days at room temperature even when exposed to light. The addition of vitamin E also enhances the health benefits of the extract.
Mycologic Epidemiology and Antifungal Susceptibility Patterns of Otomycosis in Yaounde, Cameroon: A Cross Sectional Study Revealing Candida albicans Dorminance and Nystatin Sensitivity

Introduction : Otomycosis, or fungal otitis externa, has typically been described as fungal infection of the external auditory canal, with infrequent complications involving the middle ear. With an estimated global prevalence of 10%, a wide range of pathogens a re implicated, which could have a significant impact on treatment outcomes in immunosuppressive conditions and the concurrent use of topical antibiotics/steroid preparations. Considering the limited data on this disease in Cameroon and the impact of various factors, including significant population growth and change, climate variations, and an increase in the number of patients, the epidemiology of otomycosis may have undergone substantial alterations over the years. There is therefore a need to characterize the mycologic epidemiology and susceptibility patterns for better treatment outcomes. Objectives : We aimed to describe the mycological profiles and antifungal susceptibility patterns in patients with otomycosis in Yaounde, as well as to investigate potential factors associated with otomycosis in Cameroon. Materials and Methods : We carried out a cross-sectional study on patient s samples received between November 2020 to August 2021 in Yaounde University Teaching Hospital (CHUY) and Yaounde Central Hospital (HCY). Patients’ socio-demographic and clinical data w ere obtained. Samples were analyzed for their mycologic profiles using Sabouraud-chloramphenicol agar and antifungal susceptibility testing was carried out using the Disk and macrodilution in liquid mileu methods. Statistical analyses were carried out using SPSS version 23.0, and p-values <0.05 considered statistically significant. Results : The following fungi were isolated: Candida albicans (38%), Aspergillus niger (26%), Candida spp (22%), and Aspergillus fumigatus (14%). Nystatin demonstrated high sensitivity to most tested microorganisms, with 86% exhibiting sensitivity. Swimming and excessive ear cleaning were identified as the only two factors associated with otomycosis. Conclusion : The most predominant fungus isolated was Candida albicans . Nystatin exhibited the highest sensitivity among other antifungals. Factors associated with otomycosis included swimming and excessive ear cleaning.
Google Translate vs. ChatGPT: Can non-language professionals trust them for specialized translation?

Experts and professionals in specialized fields often need writing tools to communicate in English as a means to disseminate their knowledge or enter the international market. There are different tools to accomplish this and most of them are, lately, Machine Translation systems (MT) based on Neural Machine Translation (NMT), an approach using artificial neural networks to translate with outstanding fluency. Free and open systems such as Google Translate or, more recently, ChatGPT used as a translator, have popularized NMT to a multitude of users. However, there are experts and professionals who, due to their lack of command of English, often fail in their communication tasks by accepting NMT system’s output as correct. This paper examines these systems ’ performance when translating terminology of the discourse in wine and olive oil tasting notes, specifically from Spanish into English. This domain may serve to represent less-studied specialized languages where general language words and terms become closely intertwined. The aim is to determine whether these systems can translate terminology accurately within the domain, and, if so, whether the GPT-3.5 model outperforms Google Translate. Results will help identify or discard possible language solutions for users who need to obtain texts in specialized English with professional and internationalization purposes, but who do not have the linguistic or economic resources to ensure the quality of the English text. Results show that, although ChatGPT yields fewer terminological errors than Google Translate in terms of error severity and number of samples affected, professionals cannot rely solely on these tools just yet.