Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Cereal Metagenomics: Unravelling Microbial Communities for Improved Food Security

Food security is an urgent global challenge, with cereals playing a crucial role in meeting the nutritional requirements of populations worldwide. In recent years, the field of metagenomics has emerged as a powerful tool for studying the microbial communities associated with cereal crops and their impact on plant health and growth. This chapter aims to provide a comprehensive overview of cereal metagenomics and its role in enhancing food security through the exploration of beneficial and pathogenic microbial interactions. Furthermore, we will examine how the integration of metagenomics with other tools can effectively address the adverse effects on food security. For this purpose, we discuss the integration of metagenomic data and machine learning in providing novel insights into the dynamic interactions shaping plant-microbe relationships. We also shed light on the potential applications of leveraging microbial diversity and epigenetic modifications in improving crop resilience and yield sustainability. Ultimately, cereal metagenomics has revolutionized the field of food security by harnessing the potential of beneficial interactions between cereals and their microbiota, paving the way for sustainable agricultural practices.
A Review of Studies Related to Parental Involvement in Early Intervention for Children with Special Educational Needs with Visual Impairment

A positive relationship can be created in the development of children's skills if parents can be actively involved. Parental involvement is important for improving the development of children with special educational needs. Parents of children with special educational needs must always be active in the development of their own children's learning, i.e. parents follow activities at school together, take children to early intervention centers and apply learning skills at home. With this, parents who often involve themselves at school or at home can help the development of children with special education needs in a better direction. As we know, the involvement of parents in early intervention programs can reflect various parenting behaviors shown at home and school to improve learning outcomes and children's development. For children with special educational needs, parental involvement at every level of education and treatment is considered an important and indispensable component, especially for making decisions about the process of individual education programs, interventions at school and home and communication with teachers.
A Novel PBM for Nanomilling of Drugs in a Recirculating Wet Stirred Media Mill: Impacts of Batch Size, Flow Rate, and Back-Mixing

We examined the evolution of fenofibrate (FNB, drug) particle size distribution (PSD) during the production of nanosuspensions via wet stirred media milling (WSMM) with a cell-based population balance model (PBM). Our objective was to elucidate the potential impacts of batch size, suspension volumetric flow rate, and imperfect mixing in a recirculating WSMM. Various specific breakage rate functions were fitted to experimental PSD data at baseline conditions assuming perfect mixing. Then, the best function was used to simulate the PSD evolution at various batch sizes and flow rates to validate the model. A novel function, which is a product of power–law and logistic functions, fitted the evolution the best, signifying the existence of a transition particle size commensurate with a grinding limit. Although larger batches yielded coarser and wider PSDs, the suspensions had identical PSDs when milled for the same effective milling time. The flow rate had an insignificant influence on the PSD. Furthermore, the imperfect mixing in the mill chamber was simulated by considering more than one cell and different back-mixing flow ratios. The effects were weak and restricted to the first few turnovers. These insights contribute to our understanding of recirculating WSMM, providing valuable guidance for process development.
The Influence of Work-Life Balance on Job Satisfaction of Employees in Merchandising Enterprises in the City of Mati

The study seeks to determine the influence of work-life balance on job satisfaction of employees in merchandising enterprises in the City of Mati, Davao Oriental, Philippines. To achieve the objectives of the study, a correlational research design was employed to analyze data collected through a structured survey questionnaire. The 389 respondents were selected using a purposive sampling method. The collected data from the survey were analyzed through multiple linear regression and analysis of variance (ANOVA). The study discovered that most of the indicators of work-life balance have a significant influence on job satisfaction. It was also discovered that there is no significant difference in work-life balance when grouped according to age and gender. There is also no significant difference in job satisfaction in terms of age, however, results showed a significant difference in job satisfaction in terms of gender. This study will contribute to the existing literature as it can give benefit to employees and employers in merchandising enterprises. The findings could give employees the opportunity for better working conditions and could also help employers and managers in designing policies that can attract and retain qualified employees.
Spaces of distinction, spaces of segregation. Nightlife and consumption in a central neighbourhood of Turin

Recent researches have underlined that, despite local specificities, the degree of residential segregation in Southern European cities is generally low, somehow confirming long time assumptions. This paper, however, argues that other forms of spatial segregation might be at work and should be taken into account to investigate social exclusion in daily life. Indeed, by considering not only where people have their home but also which urban spaces they use in their free time, the picture may change. In a frame, such as that of contemporary cities, where consumption has acquired a central role and is overloaded with multiple layers of social meanings, the emergence of landscapes of consumption catering for specific segments of the urban population may play a key role in shaping new forms of exclusion. To develop this argument, the paper focuses on the city of Turin (Italy) and analyses the case of San Salvario, a central neighbourhood that, while being mixed in its demographic composition, presents patterns of segregation in the use and accessibility of public spaces, mainly due to the spatial disposition of spaces of consumption.
Diel Cycle Proteomics: Illuminating Molecular Dynamics in Purple Bacteria for Optimized Biotechnological Applications

Circadian rhythms, characterized by approximately 24 h cycles, play a pivotal role in enabling various organisms to synchronize their biological activities with daily variations. While ubiquitous in Eukaryotes, circadian clocks remain exclusively characterized in Cyanobacteria among Prokaryotes. These rhythms are regulated by a core oscillator, which is controlled by a cluster of three genes: kaiA, kaiB, and kaiC. Interestingly, recent studies revealed rhythmic activities, potentially tied to a circadian clock, in other Prokaryotes, including purple bacteria such as Rhodospirillum rubrum, known for its applications in fuel and plastic bioproduction. However, the pivotal question of how light and dark cycles influence protein dynamics and the expression of putative circadian clock genes remains unexplored in purple non-sulfur bacteria. Unraveling the regulation of these molecular clocks holds the key to unlocking optimal conditions for harnessing the biotechnological potential of R. rubrum. Understanding how its proteome responds to different light regimes—whether under continuous light or alternating light and dark cycles—could pave the way for precisely fine-tuning bioproduction processes. Here, we report for the first time the expressed proteome of R. rubrum grown under continuous light versus light and dark cycle conditions using a shotgun proteomic analysis. In addition, we measured the impact of light regimes on the expression of four putative circadian clock genes (kaiB1, kaiB2, kaiC1, kaiC2) at the transcriptional and translational levels using RT-qPCR and targeted proteomic (MRM-MS), respectively. The data revealed significant effects of light conditions on the overall differential regulation of the proteome, particularly during the early growth stages. Notably, several proteins were found to be differentially regulated during the light or dark period, thus impacting crucial biological processes such as energy conversion pathways and the general stress response. Furthermore, our study unveiled distinct regulation of the four kai genes at both the mRNA and protein levels in response to varying light conditions. Deciphering the impact of the diel cycle on purple bacteria not only enhances our understanding of their ecology but also holds promise for optimizing their applications in biotechnology, providing valuable insights into the origin and evolution of prokaryotic clock mechanisms.
An overview of spices and herbs as natural antioxidant sources

Antioxidants are abundant in spices and herbs. Over 2000 years have passed since spices and herbs were used for aroma, colour and flavour. In addition to being used to preserve foods and beverages, they have phytochemicals that have been shown to preserve food and beverages. Spices and herbs contain excellent antioxidant activity, which makes them extremely effective antioxidants. As whole spices or ground herbs, extracts, encapsulated products, or emulsions, spices and herbs have been used as antioxidants. Additionally, spices and herbs are all natural, an appealing quality for consumers, along with their effectiveness as antioxidants. Foods can be controlled by adding spices and herbs to reduce lipid oxidation. Spices and herbs will continue to be effective antioxidants in the future, and possible trends are also discussed.
QTL evolution under natural infection using a F2 Scavina-6 x ICS1 population for witches'broom resistance in Bahia, Brazil

Studies to determine the genetic bases to witches´ broom resistance were being carried out in order to identify different genetic sources of resistance and to improve the efficiency of selection using molecular markers. Scavina-6, particularly in the cocoa producing region of the Bahia state in Brazil, was initially the main resistance source. A major QTL of resistance was detected in the linkage group 9 from a F2 Scavina 6 x ICS1 progenies (Brown et al 2005 and Faleiro et al 2006). Observations related with the number of vegetative brooms and flower cushions brooms, were carried out on143 individuals replicated three times by grafting on CEPLAC-hybrids and observed over a period between 2003 and 2008. Analyses were made with SAS, mainly to adjust phenotypic values (number of brooms ) by a regression taking into account the difference of the section of each plant (vigor was made in 2008 assessing the section of the grafted portion). QTLs analyses were carried out with MapQTL.5 software. We confirm the presence of the previous QTL located in the LG9 around the mTcCIR35 marker. However, the LOD score and the percentage of variation explained by the QTL significantly decrease over time and change its position into the confidence interval. During this new period of evaluation of the disease in the field, others QTLs of resistance were also detected. The QTLs values related to these others significant QTLs of the resistance to WBD and to a QTL involved in the vigor were also presented. This result suggests a change in the relationship between the host and the pathogen. (Resume d'auteur)
High‐resolution regional climate model projections of future tropical cyclone activity in the Philippines

The Philippines is one of the most exposed countries in the world to tropical cyclones. In order to provide information to help the country build resilience and plan for a future under a warmer climate, we build on previous research to investigate implications of future climate change on tropical cyclone activity in the Philippines. Experiments were conducted using three regional climate models with horizontal resolutions of approximately 12 km (HadGEM3‐RA) and 25 km (HadRM3P and RegCM4). The simulations are driven by boundary data from a subset of global climate model simulations from the CMIP5 ensemble. Here we present the experimental design, the methodology for selecting CMIP5 models, the results of the model validation, and future projections of changes to tropical cyclone frequency and intensity by the mid‐21st century. The models used are shown to represent the key climatological features of tropical cyclones across the domain, including the seasonality and general distribution of intensities, but issues remain in resolving very intense tropical cyclones and simulating realistic trajectories across their life‐cycles. Acknowledging model inadequacies and uncertainties associated with future climate model projections, the results show a range of plausible changes with a tendency for fewer but slightly more intense tropical cyclones. These results are consistent with the basin‐wide results reported in the IPCC AR5 and provide clear evidence that the findings from these previous studies are applicable in the Philippines region.
Muscular performance analysis in “cross” modalities: comparison between “AMRAP,” “EMOM” and “RFT” configurations

Introduction: In recent years, a surge of interest in high-intensity training methods, associated with “cross” modalities has emerged as a promising approach for improving performance and overall health. Therefore, the main aim of this study was to compare the acute effects on heart rate, mean propulsive velocity and intra and inter-set velocity loss in “Cross” modalities. Materials and methods: Twelve athletes, 10 men’s and 2 women’s (age: 31.5 ± 6.74 years; height: 174.17 ± 6.05 cm; weight: 75.34 ± 7.16 kg) with at least 1 year of experience in “cross” training. The participants performed three different “cross” modalities, Rounds for Time (RFT), Every Minute on the Minute (EMOM) and As Many Rounds As Possible (AMRAP) across three separate days. In each modality participants carried out 10 repetitions of squat, pull-ups, and shoulder press with difference rates of work-rest. Mean propulsive velocity (MPV) and heart rate (HR) were recorded and analysed for each athlete. Repeated measures one-way ANOVA and repeated measures two-way ANOVA were performed to analyse the differences between modalities and subjects. Besides, a Bonferroni post hoc analysis was carried out to assess the differences between modalities in each subject. Results: Significant differences in MPV were observed among the modalities. The comparisons between RFT and AMRAP, as well as EMOM and AMRAP, revealed lower MPV in the AMRAP modality (p < 0.01). RFT exhibited the greatest intra-set velocity loss, while EMOM showed the least, with significant distinctions (p < 0.01) between them. Furthermore, significant differences in the HR results were noted among all modalities (p < 0.05). Conclusion: Findings consistently identify the AMRAP modality as having the lowest MPV values due to its prolonged duration, promoting self-regulated tempo for optimal performance and technique, while the RFT modality exhibits higher fatigue and intra-set MPV losses. These insights into propulsive velocity, intensity, fatigue, and pacing across various “Cross” modalities provide valuable guidance for athletes and trainers seeking to enhance their exercise programs.
Absorption of nutrients by aquatic plants

Formulae are derived for the rate of nutrient absorption by aquatic plants approximating the shapes of spheres, discs, cylinders, and plates. Other parameters are the size and specific gravity of the plant, the nutrient concentration of the medium, and the physical properties affecting the transfer of nutrients toward the plant surface. The formulae allow for convection, i. e. , the movement of water relative to the plant. Hence absorption is aided by a current in the case of attached plants and by a rapid sinking rate in the case of plankton. The results are not materially modified by turbulence. The formulae are applied to problems of diatom growth and adaptation. Any division rate of diatoms corresponds to a certain minimum rate of nutrient absorption; this in turn requires a certain sinking rate and therefore a certain excess in specific gravity of the diatoms over that of the surrounding water. In well fertilized laboratory media the excess may be very small, and this is consistent with the slow sinking rates usually observed under laboratory conditions. Under impoverished natural conditions the excess roust be much larger, and hence there is a flotation problem. Accordingly, the analysis was extended to take into account sinking rates and vertical overturn in addition to nutrient absorption. The results are realistic with regard to observed division rates and sizes of diatoms, but they indicate an inherent competitive advantage of small diatoms over large ones. The observed size-frequency distribution of diatom species can be accounted for if one introduces an arbitrary predation factor which assumes that small cells are eaten more readily than large ones and that spheres are more acceptable food for small animals than long cylinders and plates.
An Intelligent Fuzzy-PID Controller for Supporting Comfort Microclimate in Smart Homes

—Addressing the challenge of ensuring a comfortable indoor environment in both commercial and residential buildings through the use of heating, ventilation, and air conditioning (HVAC) systems is a critical issue. This challenge is intricately connected to the development of sophisticated multi-channel controllers to regulate temperature and humidity effectively. This academic discussion initially focuses on the development and examination of a complex, interactive, nonlinear mathematical model that encapsulates the ideal parameters for temperature and humidity to achieve the desired comfort levels. The paper then progresses to explore various methodologies in the design of temperature and humidity control systems. It delves into the traditional Proportional-Integral-Derivative (PID) controllers, a mainstay in the industry, and extends to more advanced iterations. These include the integration of PID controllers with distinct decoupled controllers and the innovative combination of PID controllers with self-adjusting parameters, which are informed by the principles of fuzzy logic. This combination is particularly significant for the processes of heating and humidification. Subsequently, the paper presents the results obtained from simulations conducted on a proposed fuzzy-PID controller using Matlab, a widely used computational tool. These simulations are crucial in evaluating the efficacy of the controller design. Additionally, the paper offers an analysis of experimental data collected over a six-month period. This data is instrumental in assessing the real-world performance of the proposed system, providing valuable insights into its practical applicability and effectiveness in managing indoor climate conditions. In summary, this comprehensive study not only lays the groundwork for an interactive model for climate control but also compares various controller designs, culminating in the proposal and evaluation of an advanced fuzzy-PID controller. This work stands as a significant contribution to the ongoing efforts to enhance indoor climate control in buildings.
CORRECTION PROCEDURE FOR THE DETERMINATION OF SOIL SPECIFIC SURFACE

Specific surface has a very important role in geotacnic especially with that home dell with gypseous soils or other types of salty soils. Because its calculation need for high accuracy, a procedure is presented to calculate a correction factor for Specific surface determination.In a previous work, grain size distribution curves of many soil samples are collected. A value for the specific surface of each soil is determined summing the surface area of subintervals in the distribution curve.In this work, the values of specific surface are obtained from these gradation curves and compared to those calculated using the values of the equivalent diameter for each soil. Fitting has been made and gets the best equation representing these points. From this equation, new values for specific surface are obtained by interning the specific surface calculated from the equivalent diameter and again the point is draw with the origin point (specific surface obtained from these gradation curves). Fitting is made again and the new equation is obtained. Finally, the equation of the calculated corrected specific surface is written. The results showed a very good agreement when using the corrected procedure.
Financing Sustainable Energy through Remittance Flows in Haiti and the Dominican Republic

The goal of this market research was to determine the feasibility of promoting the use of remittances as a means to purchase clean energy. The project was designed to test the attractiveness to immigrants in more developed countries (the United States) of linking their remittance flows to the purchase of clean energy technologies in Haiti and the Dominican Republic.
Urban delineation through a prism of intraday commute patterns

Introduction Urban mobility patterns are crucial for effective urban and transportation planning. This study investigates the dynamics of urban mobility in Brno, Czech Republic, utilizing the rich dataset provided by passive mobile phone data. Understanding these patterns is essential for optimizing infrastructure and planning strategies. Methods We developed a methodological framework that incorporates bidirectional commute flows and integrates both urban and suburban commute networks. This comprehensive approach allows for a detailed representation of Brno's mobility landscape. By employing clustering techniques, we aimed to identify distinct mobility patterns within the city. Results Our analysis revealed consistent structural features within Brno's mobility patterns. We identified three distinct clusters: a central business district, residential communities, and an intermediate hybrid cluster. These clusters highlight the diversity of mobility demands across different parts of the city. Discussion The study demonstrates the significant potential of passive mobile phone data in enhancing our understanding of urban mobility patterns. The insights gained from intraday mobility data are invaluable for transportation planning decisions, allowing for the optimization of infrastructure utilization. The identification of distinct mobility patterns underscores the practical utility of our methodological advancements in informing more effective and efficient transportation planning strategies.