Miracle-dz/UniFAR-FTUs huggingface dataset:
A salt-concentrated electrolyte for aqueous ammonium-ion hybrid batteries

The development of aqueous ammonium-ion batteries (AAIBs) is currently attracting great attention because of the interesting electrochemical features induced by the charge carrier NH4+. One possible way to improve the performance of AAIBs is increasing the salt concentration in the electrolyte. Yet, few studies focus on the complex electrode–electrolyte interface behaviors in highly concentrated electrolytes, which affect the electrochemical performance of AAIBs significantly. Herein, we aim to understand the impact of CH3COONH4 electrolyte concentration on the NH4+ storage performance of a bimetallic hydroxide material. Experimental and theoretical simulation results indicate that the acetate anion will participate in the construction of the solvated NH4+ in a highly concentrated electrolyte, facilitating the adsorption of the solvated NH4+ cluster on the electrode surface. Besides, a new partial de-solvation model is also proposed, demonstrating an energy favorable de-solvation process. Finally, an ammonium-ion hybrid battery is designed, which provides a high average discharge voltage of 1.7 V and good energy density of 368 W h kg(cathode)−1, outperforming most of the state-of-the-art aqueous batteries. This work provides new understanding about the electrode's interfacial chemistry in different concentrated CH3COONH4 electrolytes, establishes a correlation between the electrolyte concentration and the electrode's performances, and demonstrates the superiority of the hybrid ammonium-ion battery design.
Efficacy and safety of zuranolone in the treatment of major depressive disorder: a meta-analysis

Objective This study aimed to systematically review zuranolone’s efficacy and safety in treating major depressive disorder (MDD). Methods We conducted electronic searches in databases like PubMed, Embase, Cochrane, and Web of Science to identify randomized controlled trials using zuranolone for severe depression from study inception to September 15, 2023. Two independent reviewers screened studies, extracted data, and assessed study quality. Our meta-analysis included four studies with 1,454 patients. The findings showed significant improvements with zuranolone across various measures: Hamilton Depression Rating Scale (HAM-D) scores indicated notable alleviation in depressive symptoms (WMD: −2.03; 95% CI: −2.42 to −1.65); the treatment group’s HAM-D score response rate was significantly higher than the control group’s at day 15 (OR: 1.46, 95% CI: 1.11 to 1.92, P = 0.01). The meta-analysis also revealed higher remission rates for the treatment group compared to the control group at day 15 (OR: 1.68, 95% CI: 1.18 to 2.39, P = 0.03). Additionally, HAM-A scores on day 15 and MADRS scores on day 15 showed improvement, and HAM-D scores for 30 mg zuranolone on different treatment days exhibited improvement (WMD, −2.55; 95% CI, −3.24 to −1.58; P = 0.05). However, analyzing HAM-D scores on day 15 for various zuranolone doses revealed no significant differences. Importantly, zuranolone use was associated with an increased incidence of adverse reactions. Results Our meta-analysis included four studies with 1454 patients, showing significant improvements with zuranolone across various measures, including HAM-D scores, HAM-A scores, MADRS scores, and specific HAM-D scores for 30 mg zuranolone on different treatment days. However, no significant differences were found in HAM-D scores on day 15 for various doses of zuranolone. Conclusions Our findings suggest that zuranolone is a promising, simple, and convenient treatment for patients with major depressive disorder, offering potential guidance for clinical practice.
A Scoping Review to Explore the Potential Benefits of Nutrition Interventions for Latino/a Adult Cancer Survivors in the US

Despite evidence for the role of healthy diets in preventing cancer, little is known about how nutrition can support positive health outcomes after a cancer diagnosis for Latino/a cancer survivors in the United States (U.S.). The purpose of this scoping review is to understand the potential benefits of nutrition interventions in supporting healthy survivorship among Latino/a cancer survivors in the U.S. A team compiled, evaluated, and summarized the available evidence. Potentially relevant studies were identified from a comprehensive search of peer-reviewed databases and the gray literature. Eligible studies included Latino/a adult cancer survivors with a nutrition education, dietary change, or behavioral intervention; and a nutrition-related health outcome. Data were extracted and summarized using tables. The review included 10 randomized controlled trials, with samples or subsamples of Latino/a cancer survivors. Interventions mostly focused on breast cancer survivors. The results showed some evidence that dietary behaviors, like fruit and vegetable intake, were related to positive outcomes, like a decreased risk of cancer (through changes in DNA methylation), decreased risk breast cancer recurrence (through changes in inflammatory biomarkers), or improved perception of health status. The findings highlight a need for community-engaged and culturally relevant nutrition interventions for Latino/a adults, especially for rural communities; and innovative intervention approaches, including m/ehealth approaches with long-term follow-up.
The Sensitivity of Surface Fluxes to Soil Water Content in Three Land Surface Schemes

Abstract Evaporative fraction (EF; the ratio of latent heat flux to the sum of the latent plus sensible heat fluxes) can be measured in the field to an accuracy of about 10%. In this modeling study, the authors try to determine to what accuracy soil moisture must be known in order to simulate surface energy fluxes within this observational uncertainty and whether there is a firm relationship between the variabilities of soil moisture and surface turbulent energy fluxes. A relationship would provide information for planning the future measurement of soil moisture, the design of field experiments, and points of focus for soil model development. The authors look for relationships in three different land surface schemes using results and ancillary integrations in the Global Soil Wetness Project. It is found that the variation of evaporative fraction as a function of soil moisture is consistent among the models and within subsets of vegetation type. In forested areas, there is high sensitivity of EF to soil mo.
Nematodes as bioindicators of soil food web health in agroecosystems: a critical analysis

Nematodes occupy a central position in the soil food web occurring at multiple trophic levels and, therefore, have the potential to provide insights into condition of the soil food webs. I hypothesized that differences in management strategies may have differential effects on nematode community structure and soil properties. This hypothesis was tested in three different replicated experiments. In the first study a conventional farming system receiving synthetic inputs was compared with an organically managed system and in the second study four different farming strategies with and without compost application transitioning to organic management were compared for nematode communities and soil characteristics including soil bulk density, organic matter, microbial biomass and mineral-N. The third study was aimed at assessing the indicative value of various nematode measures in five habitats. Nematode food webs were analyzed for trophic group abundance and by calculating MI, and enrichment (EI), structure (SI) and channel indices (CI) based on weighted abundance of c-p (colonizer-persister) guilds. Bacterivore nematodes were more abundant in the organic than the conventional whereas the conventional system had higher population of the root lesion nematode, Pratylenchus crenatus compared with organic system. Organic hay plots had the lowest populations of P. crenatus compared to corn, soybeans and oats. Enrichment ii opportunists c-p 1 and general opportunists c-p 2 bacterivores were higher in composted than the non-composted strategies. Population of Pratylenchus sp. was significantly lower but that of c-p 2 plant parasites Tylenchus and Filenchus were higher in the composted compared with non-composted amended soils. Principal components analysis indicated that MI, SI and EI contributed the most to differences between the habitats. Forests and shrublands had highly structured food webs as expected but their high enrichment may be unique due to the muck soils. Croplands showed a clear distinction from other habitats with less structured food webs. Turfgrass lawns occupied an intermediary position between disturbed and unmanaged habitats. Lack of increase in SI in the organic farming system could be due to the high tillage requirement, which might have suppressed the population of high c-p value tillagesensitive nematodes.
THE MAJOR OF PRESCHOOL EDUCATION ART CLASSROOM MANAGEMENT BIBLIOMETRIC RESEARCH

This study takes the research on the management of art classroom teaching in preschool education majors as the starting point, combines the actual work requirements of kindergartens for the artistic ability of preschool education majors, and investigates and analyzes the current situation of art classroom teaching management in preschool education majors. Teaching management reforms and suggestions such as content and objectives. To ensure that graduates of preschool education majors can manage kindergarten art activities, improve teaching management methods that strengthen practical abilities in art courses of preschool education majors, and make some useful explorations for cultivating qualified and excellent kindergarten teachers and managers. Art classes in preschool education majors have dual attributes of theoretical and practical training. This study is based on influencing factors such as students' artistic foundation, classroom conditions, and the artistic quality of teachers. In the research and integration of various variables, new questions will inevitably arise, which will be another starting point for exploring art classroom management.
Fabrication and Applications of Magnetic Polymer Composites for Soft Robotics

The emergence of magnetic polymer composites has had a transformative impact on the field of soft robotics. This overview will examine the various methods by which innovative materials can be synthesized and utilized. The advancement of soft robotic systems has been significantly enhanced by the utilization of magnetic polymer composites, which amalgamate the pliability of polymers with the reactivity of magnetic materials. This study extensively examines the production methodologies involved in dispersing magnetic particles within polymer matrices and controlling their spatial distribution. The objective is to gain insights into the strategies required to attain the desired mechanical and magnetic properties. Additionally, this study delves into the potential applications of these composites in the field of soft robotics, encompassing various devices such as soft actuators, grippers, and wearable gadgets. The study emphasizes the transformative capabilities of magnetic polymer composites, which offer a novel framework for the advancement of biocompatible, versatile soft robotic systems that utilize magnetic actuation.
Research Progress and Analysis on Comprehensive Utilization of Livestock and Poultry Biogas Slurry as Agricultural Resources

Anaerobic fermentation of organic waste, such as livestock manure, in biogas projects is an environmentally friendly and effective treatment method. The resulting biogas, mainly composed of methane, is a combustible gas with energy properties, while the digestate, containing nutrients such as nitrogen (N), phosphorus (P), potassium (K), and other organic matter, can be used for agricultural irrigation. This article analyzes the current situation of resource utilization of livestock manure in various countries and the progress of biogas projects. It introduces the process, composition, and commonly used filtration methods before applying the digestate to farmland. The summary focuses on the improvement of crop quality, enhancement of soil fertility and the risks of pollution, and environmental hazards associated with the utilization of biogas slurry. The limitations and corresponding solutions for the agricultural utilization of livestock digestate are discussed, and recommendations are made for the technology of digestate irrigation and application to farmland.
Inhibition of Citrus Huanglongbing Disease by Paenibacillus polymyx KN-03 and Analysis with Transcriptome and Microflora

Soil drench treatment using Paenibacillus polymyxa strain KN-03 was applied to citrus plants infected with Candidatus Liberibacter asiaticus (CLas). The infection status was assessed using PCR and a real-time quantitative PCR detection system (qPCR). The application of KN-03 resulted in a notable reduction in CLas levels in citrus plants. Specifically, by the 257th day post treatment commencement, following 24 KN-03 applications, the negative rates of CLas in the vein, root tip, and shoot tip were 50%, 0%, and 50%, respectively. After 24 cycles, KN-03 application significantly enhanced plant growth and stimulated reactive oxygen production in citrus leaves compared to control plants. Transcriptome analysis identified specific upregulated pathways. Furthermore, flora analysis revealed an increased abundance of microorganisms possessing potential utilization value, including Burkholderia-Caballeronia-Paraburkholderia, uncultured_bacterium_o_Acidobacteriales, uncultured_bacterium_f_Gemmatimonadaceae, and Rhodanobacter, in the root zone. Moreover, the BugBase analysis indicated that KN-03 treatment increased the abundance of beneficial rhizosphere bacteria associated with biofilm formation, element mobilization, and stress tolerance. These findings support the utility of Paenibacillus polymyxa KN-03 as an effective plant-growth-promoting bacterium for CLas management, with additional benefits for plant growth and soil health, specifically offering detoxification resources for shoot tip grafting.
Community Empowerment and Planning forCoastal Traders in the Matahari Terbit Beach, Sanur Kaja Traditional Village, Denpasar, Bali

Bali tourism is starting to revive after being devastated by the COVID-19 pandemic. This can be seen from the increase in foreign tourist arrivals and wisdom and hotel occupancy rates. The Sanur area is one of the attractive tourist destinations. But the COVID-19 storm has changed the behavior of hotel employees. Common things that are altruistic in nature in employees have decreased. Polite and considerate behavior towards colleagues aimed at preventing work-related problems has also decreased. This situation is still ongoing even though employees know that the government has started to relax the mask policy, but WHO has not yet declared the end of the COVID-19 pandemic. The human resource (HR) managers of hotels in Sanur strive to develop an empowering environment that allows all employees to contribute to their peak performance. HR can be optimized through a behavior, namely organizational citizenship behavior (OCB). This behavior displays employee altruism, courtesy, sportsmanship, awareness, and benevolence. OCB is one of the measures of organizational success because although it is abstract, OCB with the concept of helping and friendliness that tends to go unrecognized actually contributes positively and is able to increase organizational effectiveness.
Anisotropic Velocity Structure Beneath Shikoku, Japan: Insights From Receiver Function and Shear Wave Splitting Analyses

A combination of receiver function (RF) analysis and shear wave splitting can reveal the anisotropic properties of the Earth's velocity structure. The RF profile exhibits harmonic patterns partially generated from the discontinuities of anisotropic media near the receiver. The anisotropic properties are determined using splitting parameters, which include the fast polarization direction (FPD) and split time. We utilized the seismograms recorded by stations on Shikoku Island, Japan. Also, we applied the Bayesian information criterion to control the spike count of each RF, which consists of a series of spikes generated by time‐domain iterative deconvolution. Anisotropic differences arose between northern and southern regions along the 30‐km iso‐depth line of the top surface of the Philippine Sea Plate. In the southern part of Shikoku Island, the FPDs are sub‐perpendicular to the plunge of the subducting slab, while in the northern part, they are sub‐parallel to the plunge of the slab. Our results indicate that anisotropic strengths are weaker in the tectonic‐tremor band in northwestern Shikoku and stronger in the northern part of central and eastern Shikoku around the no tectonic‐tremor area. These anisotropic variations may characterize Shikoku Island’s geological structure.
A Flexible Eddy Current TMR Sensor for Monitoring Internal Fatigue Crack

This paper proposes a flexible eddy current TMR (FEC-TMR) sensor to monitor the internal crack of metal joint structures. First, the finite element model of the FEC-TMR sensor is established to analyze the influence of the sensor’s crack identification sensitivity with internal crack propagation at different depths and determine the optimal location and exciting frequency of the sensor. Then, the optimal longitudinal spacing and exciting frequency of the sensor are tested by experiment. The experimental results are consistent with the simulation results, which verify the correctness of the simulation model. Finally, the experiment is carried out for internal cracks of different depths to verify that the sensor can monitor internal cracks, and the crack identification sensitivity gradually decreases with the increase in the depth of the crack from the surface.
THE INFLUENCING FACTORS OF BEHAVIOR INTENTION OF APPLYING EXPERIENTIAL TEACHING METHOD TO PROMOTE LABOR EDUCATION OF VOCATIONAL COLLEGES IN GUANGZHOU, CHINA

Purpose: The purpose of this study is to examine the main factors that influence the intention and use of experiential teaching methods in the curriculum of labor education in Guangzhou Vocational Colleges. Research design, data and methodology: Questionnaires and quantitative analysis were used to collect sample data. The validity and reliability of the questionnaire were tested before it was issued. The data were analyzed by confirmatory factor analysis (CFA) and structural equation modeling (SEM) to verify the goodness of fit of the model, to confirm the causality and influence degree among variables, and to test hypotheses. Results: The study has found that behavioral intention has the greatest influence on the use behavior and use behavior has significantly impacted Students' Performance. The standardized path coefficient of behavioral intention and use behavior was 0.505 and T-value was 7.657. The standardized path coefficient of use behavior and students’ Performance was 0.476 and t-value at 7.464. Convenience and behavior intention are the two important factors to decide whether to use experiential teaching in the curriculum of labor education. Conclusions: The promotion condition (0.293) and the behavioral intention (0.563) are two factors that directly affect the use behavior. Usability perception (0.064), usefulness perception (0.156) , attitude perception (0.112) and social influence perception (0.085) had indirect effects on use behavior. Use behavior (0.471) is a factor that directly affects students' academic performance. Usability perception (0.030) , usefulness perception (0.073), attitude perception (0.053) and social influence perception (0.040) , promoting condition perception (0.138) and behavior intention perception (0.265) are six factors that indirectly affect students' academic performance.
Are Artificial Intelligence and Machine Learning Shaping a New Risk Management Approach?

Digital revolution is influencing many economic sectors and for a few years banking sector is under a great transformation mainly due to the development and the use of new technologies. The most recent ones are artificial intelligence (AI) with the recourse to advanced algorithms. The main banking services, their offer, but above all, the customer relations have been significantly influenced by the this. The recourse to new channels, the monitoring of risks and the controls of frauds are only some of the applications of machine learning (ML). To manage the increase in financial and non-financial risks AI and ML seem to give a great help to banks. The survey conducted from December 2022 to May 2023 with a sample of Italian banks of different size, shows the level of awareness in the recourse to these technologies. Moreover, it aims to assess the maturity and the future perspectives in the adoption of AI in the financial system. The analysis is divided into different investigation areas that show how banks can mitigate the risks involved with the implementation of AI and how it affects the risk management process. The paper covers the gap in literature where AI and ML are mainly considered as separate tools to face specific banking projects; and Italian banks, even if with differences due to the size, are aware of the relevance of these new technologies. The research is a contribute to the discussion about the application of AI and ML in a holistic dimension.
#YoSoy132: ¿Un nuevo paradigma en la política mexicana?

Normal 0 21 false false false ES X-NONE X-NONE #YoSoy132 became the most talked about development in the final stretch of the last Mexican election. The election, held on July 1 2012, resulted in the victory of Enrique Pena Nieto, reinstating, after a twelve-year hiatus, the Institutional Revolutionary Party, which had previously ruled the country from 1929 to 2000. Throughout the campaign, polls indicated that Pena had a comfortable lead ahead of his adversaries. The emergence of the #YoSoy132 movement changed this panorama. The movement called out for opposition against Pena and had considerable impact on the electoral process and its results, as well as in the dynamics and politics of information diffusion and media. This paper argues that the #YoSoy132 phenomenon does not fit into the traditional definition of social movements. Through the analysis of close to a million tweets, this paper presents a multidisciplinary approach to #YoSoy132. First we situate the phenomenon in the history of social movements in Mexico. We will analyze how members of the movement interpret history and how they view themselves in history. Second, we will analyze how political parties used the Internet in their campaigns, and in what ways #YoSoy132 fits into this framework. Third, taking some notes from the social network analysis and complexity theories, we analyze the behavior and communication dynamics from monitoring the hashtag #YoSoy132 on Twitter, and we see the relationship of this movement with the media and its uses as a network, opening interdisciplinary views to analyze the social movements in the twenty-first century /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:. 0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}