Miracle-dz/UniFAR-FTUs huggingface dataset:
Trichoderma Diversity in Mexico: A Systematic Review and Meta-Analysis

Trichoderma is a genus of cosmopolitan fungi with more than 375 species described today. Despite its global significance in agriculture, ecosystems, and industry, few studies have focused on studying the diversity and distribution of this genus in Mexico. In this systematic review and meta-analysis, we aimed to understand the diversity and distribution of Trichoderma species in Mexico, both in ecosystems and agroecosystems. For this systematic review, we used the PRISMA methodology. We reviewed forty-one scientific articles, two book chapters, and the GBIF database. We recorded a total of 1082 isolates, revealing the presence of 57 species of the genus Trichoderma in 29 states of Mexico. We found that species from the genus Trichoderma were reported in 20 agroecosystems and 6 ecosystems. T. harzianum was the predominant species in both agricultural and undisturbed soil. Tabasco and Veracruz were the states with the highest species diversity, with 20 and 14 species reported, respectively. Chiapas had the highest diversity indices (Menhinick had 3.20, Simpson had 0.89, and Margalef had 4.16). The coffee crop was the agroecosystem with the highest diversity, with 12 species reported. In the undisturbed ecosystems, tropical rainforests featured 12 different species. This study highlights the distribution of the genus Trichoderma as a cosmopolitan genus. We argue for the importance of the species that comprise the genus and its applications for social benefits.
EBONE: integrated figures of habitat and biodiversity indicators : quantifying indicators of an integrated biodiversity observation system

The EBONE project developed a method to monitor biodiversity over time in the whole of Europe. In this deliverable, a proof of practice for the developed methodology is presented through an analysis of the data collected. Field data have been collected from a sampling pool of 1km squares throughout Europe and three case study regions outside Europe. The EBONE Habitat Recording Field Protocol allowed the computation of a wide array of indicators from habitat level, pressure and management, life forms and species biodiversity. The protocol ensures the provision of multidimensional and statistically robust estimators of biodiversity for national, environmental strata or any given type of habitats levels. Additionally, it offers new perspectives on both Annex I habitats and semi-natural habitats.
A Functional vs Projectized approach in Oil and Gas Industry

The development of the oil & gas sector is associated with the constant search for new solutions to challenges facing companies that operate in the industry. One of the major challenges for the future development of the business is the need to increase the level of flexibility and adaptiveness. This conclusion is especially relevant for the oil & gas sector, which is likely to face the risks of energy transition and rising environmental regulations. To address this source of risk, the current study aimed to assess the perspectives of the project management approach used in the oil & gas sector. The specific company selected for the aims of analysis was the ADNOC company, also including a case study of a set of international businesses from different regions of the world. The qualitative research design was applied that was bases on interviews and a case study. The findings of the study demonstrated the high relevance of using the project management approach. Specific technologies that could bring benefits to the industry included production project management, advanced analytics, digitalization, and agile project management. It was found that studying the potential sources of resistance to change and sources of mistakes in terms of project management approach integration in the oil & gas sector was crucial.
Modelling the attraction of shopping centres

Development of major shopping centres continues even though online shopping is increasing. This has implications for mode and destination choice for shopping travel and therefore also for sustainability. In this paper, we estimate models for shopping travel using an unusually rich data set of shopping attractions. We find that shopping travel is best represented in three separate models: consumables in short and long-activity segments and durables. In all of these models, we show that representing nearby attractions outside the destination zone adds to the measured attraction. For both consumables segments, the addition of secondary attractions within 2 km of the main destination adds very significantly to the explanation given by the model, but attractions within 5 km do not add anything. For durables, both 2 km and 5 km added to the model, but 2 km was slightly better. Furthermore, we find significant within-zone correlation in all three models, but are unable to find significant between-zone correlation, indicating that zone boundaries have some behavioural meaning for shopping travellers, but larger areas are not viewed in this way. Shopping attractions with a specifically Swedish impact, Systembolaget (official alcohol outlet in Sweden) and IKEA, proved to be important in all the models. These attractors work better as part of the size than as part of the utility, indicating that they appear to be separate attractors of trips, rather than as adding to the utility of other attractors.
Flexible Design Method for Multifunctional Filtering Diplexers Integrated With Single-Pole Double-Throw Switches

This paper presents a novel design method for multifunctional filtering diplexers integrated with single-pole double-throw switches having three operating modes: Modes 1–3. Modes 1 and 2 involve the operation of switchable filters with different frequencies, which are suitable for time-division duplexing (TDD) systems. Mode 3 involves the operation of switchable diplexers, which are suitable for TDD and frequency-division duplexing (FDD) systems. The proposed design method is based on distributed coupling technology and can thus offer a high degree of design flexibility, particularly in terms of controlling the filter order, bandwidth, and number of channels. To demonstrate the feasibility and design flexibility of the proposed method, it was used to design and fabricate second- and fourth-order multifunctional diplexers; the designed diplexers were then assessed through electromagnetic simulations and experimental measurements. The simulation results were in good agreement with the experimental results, thereby validating the feasibility and design flexibility of the proposed method. The results indicated that the second- and fourth-order multifunctional diplexers occupied small circuit areas (approximately $0.098 {\lambda }_{g}^{2}$ and $0.198 {\lambda }_{g}^{2}$ , respectively). In addition to their multifunctional characteristics and high design flexibility, the multifunctional diplexers exhibited satisfactory performance, including an in-band insertion loss of < 2.5 dB in the ON state, an in-band attenuation of >42 dB in the OFF state, and a port-to-port isolation of >48 dB.
Analysis on Evolution of Groundwater Depression Cones and Its Leading Factors in North China Plain

According to field investigation of 13.96×104km2 and dates from 4850 monitoring points from 2001 to 2007 in North China Plan,we carried out integrated analysis of the obtained change maps of groundwater flow field in deep and shallow aquifer layer of both high and low flow period in different years,and summarized the following points:1)Areas of groundwater depression cones have enlarged and central buried depth has decreased continuously;2)The maximum buried depth of shallow groundwater aquifer reached 65m and the area with buried depth above 10m has reached 44.4%of the whole region.The depression cone of shallow aquifer is mainly located in industrial cities in piedmont of Taihang Mountain and Yan Mountain like a moniliform,and the total area surrounded by equal water level line of cones has reached 9 657.9 km2;3)The maximum buried depth of deep groundwater aquifer has reached 110m and the areas with buried depth above 40m have reached 43.1%of the whole region,while the area with pressure bearing water head lower than sea level has reached 87 934.14 km2,which is 52.6%of the whole,and combined groundwater depression cones have been formed.The phenomenon of groundwater overflow, which was widely distributed in this region during 50~60’s in the 20th century,has disappeared. We have reached several conclusions:the precipitation has reduced by 4%~9%in recent 30 years compared with the average earlier;the exploitation modulus of groundwater has increased from 11.13×104 m3(/km2·a)in the 70s to 15×10 4 m3(/km2·a)at present,by a percentage of 32.8;due to the block store up projects in upper reaches,the main river is dry more than 300 days since 1980, which leads to the leakage reduction in supply.Being calculated by adopting analytic hierarchy process,the respective correlation coefficients of exploitation and precipitation with the declination of groundwater level were 0.711 and 0.601. It is agreed that both natural and human factors led to the formation of groundwater depression cones,but the human ones are in a leading position.
Impact of Atmospheric Aerosols on the Accuracy of IMERG Precipitation Estimates Over Northern China

Accurate satellite precipitation estimates are vital for understanding global and large-scale regional water cycles. Among the many factors influencing satellite precipitation data quality, the detection and accuracy of precipitation products at different atmospheric aerosol concentrations are not well studied. In this study, we investigated the impact of atmospheric aerosols on the accuracy of satellite precipitation products (IMERG) over North China by comparing performance metrics such as bias, normalized root mean squared error, probability of detection (POD), and false alarm ratio (FAR) under different atmospheric aerosol conditions. The results revealed that IMERG generally exhibits poorer detectability and quantification under pollution condition. Based on the error decomposition, the estimated errors in autumn and winter were dominated by false biases, which are mainly affected by atmospheric aerosols. At the sensor level, the FARs of both infrared (IR) and passive microwave sensors show escalating trends as pollutant concentrations increase. The POD of IR sensors is affected by pollution. Pollution has a significant impact on IR detection capability. Our findings suggest that atmospheric aerosols may impact the accuracy of IMERG precipitation estimates over Northern China and need to be taken into consideration in the IMERG retrieval process and data utilization.
Estimation of Signal-Noise-Ratio for HJ-1/CCD Data

The improved local means and local standard deviations method was employed to estimate the SNR of HJ-1/CCD data in this paper.Taking the HJ-1/CCD image acquired on June 26,2011 in Jiuquan area as the test image,the characters of SNR for all HJ-1/CCD bands were analyzed.Result shows that the SNR are different for different HJ-1/CCD bands.Band 3 shows the highest SNR while band 4 shows the lowest SNR.Comparison with the Landsat/TM indicates that HJ-1/CCD exhibits higher SNR except for band 4.
Design of Energy-Saving MgB$_\text{2}$ Ramped Superconducting Magnets for Particle Beam Lines

Large accelerator facilities in the medium- and high-energy particle range can consume a significant amount of energy to power the resistive magnets in the beamlines. Depending on the magnet duty cycle, new magnet designs based on superconducting configurations have become increasingly attractive as possible alternatives to energy-intensive resistive solutions. High-temperature superconductor coils made in rare earth copper oxide (<italic>Re</italic>BCO) and MgB<inline-formula><tex-math notation="LaTeX">$_\text{2}$</tex-math></inline-formula> based cables can be used for both static and ramped magnets thanks to their high energy margin due to the large critical temperature. The University of Milan and INFN-Milano LASA Lab. research team are currently working on developing superconducting magnet designs to replace the conventional resistive coils without modifications of the iron yoke of the normal-conducting solution. To highlight the potential of these superconducting materials, we present an estimation of the energy consumption reduction achieved in a MgB<inline-formula><tex-math notation="LaTeX">$_\text{2}$</tex-math></inline-formula> superferric dipole ramped magnet case study for the CNAO accelerator complex. Two design iterations, optimized at 10 K and 20 K, are compared with the resistive design demonstrating the benefit on total consumed energy and cost of this type of superconducting magnet solutions for large-scale research facilities.
Regional and global scale modeling of the benthic marine nitrogen cycle

The benthic nitrogen (N) cycle is highly dynamic and diverse due to the strong redox gradients occurring in marine surface sediments and the variety of oxidation states accessible to nitrogen. Since N is a limiting nutrient for biological productivity, fluxes of nitrogenous species across the sediment-water interface may strongly affect the biogeochemistry of nitrogen, carbon and phosphorus in the oceanic water column. In particular, as a major sink for fixed N in the marine environment, benthic denitrification has a profound impact on the availability of bioavailable N in the oceans. Consequently, an understanding of N cycling in marine sediments is of major importance for constraining the global marine nitrogen budget and quantifying benthic-pelagic feedbacks. The thesis addresses benthic N turnover on local and global scales with a special focus on oxygen minimum zones where strong lateral redox gradients lead to unique and highly interesting interactions in N cycling.
Opportunities of implementing the genomic selection in small populations - the Croatian case

The implementation of genomic selection (GS) together with the changes caused by globalization and trade liberalization of breeding material often raise the question of sustainability of breeding programs in small cattle populations /countries. The objective of this study was to describe the steps in the implementation of GS in small populations of Croatian Simmental (SIM) and Holstein (HOL) breeds ; to show the results of its implementation ; and to present the perspectives of GS for these populations. In order to improve the selection of SIM bulls, Croatia joined the German-Austrian genomic evaluation system in July 2013. The main goal of the GS in HOL population was selection of bull’s dams at a young age which started in 2016 through the inclusion in German HOL genomic evaluation system. In total, 268 SIM and 96 HOL calves were selected, genotyped, and genomically tested until the end of 2017. The criterion for the entry of SIM bulls in the artificial insemination (AI) centres is the total merit index over 130 and candidates should not be carriers of specific monogenic defects or be recessive for them. Based on these criteria, seven young bulls were selected as for AI. The criteria for the selection of HOL females are the total merit index of 150, without monogenic defects and so far none of them reached these standards. The future perspective for HOL breed is international IgHol project for small HOL populations representing the possibility for cost-efficient solutions of GS. The implementation of GS brought opportunity to Croatian breeders to use semen of bulls from the national breeding program. Genomics for females becomes an attractive option to capitalise the benefits of using this technology.
Bridging the Broadband Divide through 5G Solutions Based on Community-Based Broadband Solutions for Balancing Competition

This paper addresses the issue of insufficient broadband and wireless technology access in rural areas and proposes the use of 5G technology to bridge the digital divide. The paper analyzes a possible cost model for community implementation of 5G, with a focus on Chicago’s South and West Sides, where internet access is an issue for citizens. The methodology is based on qualitative research through narrative analysis and a focus group discussion with economists and consultants specializing in the digital divide. The paper proposes a cost model based on average revenue per machine (ARPM) instead of the traditional average revenue per user (ARPU) model, which provides a fairer cost model for rural areas. Participants of the focus group evaluated the model and concluded that it would provide a fair and competitive ground between local and nationwide providers, with potential government support.
Mapping Rock Surface Roughness with Photogrammetry

ABSTRACT: In this study, the possibility of measuring rock surface roughness by means of opensource photogrammetric methods was investigated. With simple commercially available digital cameras, samples of varying roughness were measured. As a reference, the samples were also measured with a high-resolution white light strip scanner and additionally manually with a contour gauge. By comparing the digital datasets it became clear that the open-source structure-from-motion (SFM) algorithms were able to capture the overall topography but with clearly less accuracy than the white light scanner. This had a marked influence on the determined roughness parameter JRC (joint roughness coefficient). For smooth surfaces the JRC was higher than the reference value, for rough surfaces it was lower. In general, with the introduced method it was possible to reproduce the surface of the rocks but care has to be exercised when roughness parameters are to be deduced from the datasets.
Composición química y mineral de leucaena asociada con pasto estrella durante la estación de lluvias* Chemical and mineral composition of leucaena associated with star grass during the rainy season

The aim of this study was to determine the chemical and mineral composition of the leucaena (Leucaena leucocephala Lam. de Wit) and star grass (Cynodon nlemfuensis Vanderyst) associated in an intensive silvopastoral system 35, 42, 49, 56, 63 and 70 day old sprouts during the rainy season, in the Huasteca potosina region of Mexico. The variables evaluated were the percentage of EE, PC, FDA, FDN, Ca, Mg, Na, K and P, ratio Ca:P and ppm Cu, Zn and Fe. The results showed significant differences ( p< 0.05) by effect of age of suckers for the FDN and Ca which were higher at day 49 while Na and P decreased with increasing age of suckers. In contrast, the concentration of FDA, Cu and Fe increased with increasing age of the volunteers (p< 0.05). There were differences between the forage species ( p< 0.05) for most of the variables studied, except for Na, K and Zn minerals. Leucaena had higher content of EE, PC, Ca, Mg, Cu and Fe; but the star grass had higher content of FDN, FDA and Ca:P ratio. The age of the volunteers interacted with forage species for content FDN, Na, K and Zn. The deficiencies Cu, Zn and P in forages studied were found. It is concluded that leucaena star grass association with improved chemical and mineral composition of edible foliage.
Convolutional Neural Network Activation Function Performance on Image Recognition of The Batak Script

Deep Learning is a sub-set of Machine learning, Deep Learning is widely used to solve problems in various fields. One of the popular deep learning architectures is The Convolutional Neural Network (CNN), CNN has a layer that transforms feature extraction automatically so it is widely used in image recognition. However, CNN's performance using the tanh function is still relatively low, therefore it is necessary to select the right activation function to improve accuracy performance. This study analyzes the use of the activation function in image recognition of the Batak script. The result of this study is that the CNN model using the ReLU and eLU functions produces the highest accuracy compared to the CNN model using the tanh function. The CNN model using eLU produces the best accuracy performance in the training process, which is 99.71% with an error value of 0.0108. Meanwhile, in the testing process, the highest accuracy value is generated by the CNN Model using the ReLU function with an accuracy of 94.11%, an error value of 0.3282, a precision value of 0.9411, a recall of 0.9411, and an f1-score of 0.9416.
Nurturing positive mental health and wellbeing in educational settings – the PRICES model

This article presents a comprehensive framework for the implementation of social and emotional learning (SEL) programs as a means of health promotion in educational settings, to positively impact student, school, and adult mental health and wellbeing across education. It emphasizes the profound impact of education on life trajectories and success definitions. Drawing inspiration from the Greek myth of Icarus and Maya Angelou’s poem “Still I Rise,” it explores contrasting notions of success and their consequences. Schools play a pivotal role in shaping students’ wellbeing across multiple dimensions and developmental stages. Because of this, holistic mental health and wellbeing promotion that takes a whole-school approach is critical. The paper introduces the PRICES framework (Preparation and Access, Restoration, Integration, Connection and Community, Educator Support, Strengths-Based Cultivation and Student Voice) as a comprehensive method for implementing SEL programs in educational systems. Each component of the PRICES framework is discussed in detail, emphasizing its role in fostering positive health promotion within schools. Examples of implementation plans that operationalize this model through a co-development process focusing on the Social, Emotional, and Ethical (SEE) Learning program are also presented. The PRICES model encourages a shift towards a more holistic approach to education, nurturing social and emotional development alongside academic achievement. By prioritizing wellbeing, fostering a sense of community, and integrating evidence based SEL interventions, schools can positively impact the mental health and overall flourishing of students and educators, contributing to thriving communities.