Miracle-dz/UniFAR-FTUs huggingface dataset:
The Proportion of Cassava and Palm Kernel Cake Affects in situ Rumen Degradation Kinetics in Ongole Crossbreed

The present study investigated the effect of varying the proportion of dried cassava and palm kernel cake on in situ rumen degradation kinetics in Ongole Crossbreed. Ongoles were fed two different concentrate rations of cassava and palm kernel cake (PKC) varying in percentage with one concentrate mixture comprising 80% cassava with 20% PKC and the other concentrate mixture was 50% cassava mixed with 50% PKC. Each concentrate mixture was fed with rice straw to make a total mixed ration of approximately 80% rice straw and 20% concentrate. Each ration was fed to one of two rumen fistulated cattle in a cross-over design. Each period was of two weeks with an adaptation period. In situ degradation was measured in the second week. A sample of the mixed concentrate was measured into each nylon bag such that the proportion of cassava or PKC was the same as the ration concentrate being fed ie 80:20 or 50:50 cassava:PKC respectively. Each mixed concentrate treatment (5 g) was weighed in quadruplicate into nylon bags and then incubated in the rumen for 4, 8, 16, 24, 48, 72, and 96 h, removed at these times, dried and analysed for DM and organic matter. The degradation kinetics of dry matter and organic matter were higher (P<0.05) in the 80:20 concentrate treatment than the 50:50 concentrate treatment. The immediately degradable fraction, the potentially degradable fraction, fractional degradation rate, and theoretical degradability were higher (P<0.05) in the 80:20 concentrate treatment thanthe 50:50 dietary treatment even though this had a higher crude protein content. In conclusion, degradation rate of the 80:20 cassava concentrate was higher and reflected the higher starch content of this mixed ration. It would be the better concentrate mixture as a supplement but if fed at high levels the 50:50 concentrate mixture would be a safer option to avoid acidosis.
A Polarimetric Radar Operator and Application for Convective Storm Simulation

In this study, a polarimetric radar forward model operator was developed for the Weather Research and Forecasting (WRF) model that was based on a scattering algorithm using the T-matrix methodology. Three microphysics schemes—Thompson, Morrison 2-moment, and Milbrandt-Yau 2-moment—were supported in the operator. This radar forward operator used the microphysics, thermodynamic, and wind fields from WRF model forecasts to compute horizontal reflectivity, radial velocity, and polarimetric variables including differential reflectivity (ZDR) and specific differential phase (KDP) for S-band radar. A case study with severe convective storms was used to examine the accuracy of the radar operator. Output from the radar operator was compared to real radar observations from the Weather Surveillance Radar–1988 Doppler (WSR-88D) radar. The results showed that the radar forward operator generated realistic polarimetric signatures. The distribution of polarimetric variables agreed well with the hydrometer properties produced by different microphysics schemes. Similar to the observed polarimetric signatures, radar operator output showed ZDR and KDP columns from low-to-mid troposphere, reflecting the large amount of rain within strong updrafts. The Thompson scheme produced a better simulation for the hail storm with a ZDR hole to indicate the existence of graupel in the low troposphere.
Analyzing Stakeholder Perceptions of Water Ecosystem Services to Enhance Resilience in the Middle Drâa Valley, Southern Morocco

Freshwater ecosystems deliver an extensive range of ecosystem services (ESs), which are the benefits people obtain from their interaction with nature. Increasing pressure on water resources threatens the sustainable supply of water-related ecosystem services, especially in arid regions, as is the case for the Drâa Valley located in southern Morocco. With the long-term objective of contributing to a sustainable supply of important ecosystem services in the Drâa Valley, this paper analyzes stakeholder perceptions of water-related ecosystem services (WESs). To assess the different perceptions of WES, 35 semi-structured interviews were conducted with the inhabitants of three oases in the middle Drâa Valley, as well as 12 other interviews with key government officials. Based on our interviews, we reflect on two of the policy-relevant generic principles proposed by the Stockholm Resilience Centre for enhancing the resilience of WESs. Our results reveal similarities in perceptions of WES among stakeholder groups regarding provisioning services but marked differences regarding regulating and cultural services. The analysis suggests that these differences stem from stakeholders’ different roles and activities in the area. In addition, socio-demographic, biophysical, and spatial aspects also shape how WESs are perceived in the area. Learning about similarities in WES perceptions can help build common ground among stakeholders. The recognition of differences can also assist the balancing of the different needs and interests of these groups. ESs perception assessment can contribute to strengthened stakeholder knowledge of the categories of ESs and provide a common ground for participating in ES-related decision making, hence enhancing resilience in social–ecological systems.
Osseointegration of a New, Ultrahydrophilic and Nanostructured Dental Implant Surface: A Comparative In Vivo Study

This study compared the osseointegration of acid-etched, ultrahydrophilic, micro- and nanostructured implant surfaces (ANU) with non-ultra-hydrophilic, microstructured (SA) and non-ultrahydrophilic, micro- and nanostructured implant surfaces (AN) in vivo. Fifty-four implants (n = 18 per group) were bilaterally inserted into the proximal tibia of New Zealand rabbits (n = 27). After 1, 2, and 4 weeks, bone-implant contact (BIC, %) in the cortical (cBIC) and spongious bone (sBIC), bone chamber ingrowth (BChI, %), and the supra-crestal, subperiosteal amount of newly formed bone, called percentage of linear bone fill (PLF, %), were analyzed. After one week, cBIC was significantly higher for AN and ANU when compared to SA (p = 0.01 and p = 0.005). PLF was significantly increased for ANU when compared to AN and SA (p = 0.022 and p = 0.025). After 2 weeks, cBIC was significantly higher in SA when compared to AN (p = 0.039) and after 4 weeks, no significant differences in any of the measured parameters were found anymore. Ultrahydrophilic implants initially improved osseointegration when compared to their non-ultrahydrophilic counterparts. In accordance, ultrahydrophilic implants might be appropriate in cases with a necessity for an accelerated and improved osseointegration, such as in critical size alveolar defects or an affected bone turnover.
Research on Efficient Single-Sided Asymmetric Modulation Strategy for Dual Active Bridge Converters in Wide Voltage Range

For the problem of narrow soft-switching range and low efficiency of dual active bridge (DAB) converter in wide voltage range, this article proposes a single-sided asymmetric duty modulation (SSADM) strategy, which contains only two control degrees of freedom, and significantly improves the soft-switching performance and efficiency at light load. First, the potential advantages of asymmetric duty modulation (ADM) method are described through waveforms. The principle of determining which full bridge to adopt the ADM is given and the working principle of SSADM is described. Second, a linear pulse logic combination analysis of SSADM in time domain is performed to establish a complete steady-state mathematical model. To solve the analytical expression for the optimal solution of SSADM, the peak-to-peak value of the inductor current with simple expression is chosen as the optimization objective, and the global optimal solution of SSADM is solved based on the Karush–Kuhn–Tucker (KKT) condition, and the voltage closed-loop control strategy of SSADM is presented. In addition, the soft-switching range of SSADM is analyzed. Finally, the experimental platform of DAB converter based on SiC device is built. Compared with other modulation strategies, SSADM shows better soft-switching performance with significant efficiency improvement, which is verified by the experimental results.
CHARACTERIZATION OF SOLUTIONS FOR BICOOPERATIVE GAMES BY USING REPRESENTATION THEORY

When analyzing solutions for bicooperative games as well as classical cooperative games, traditional approaches regard both of games and payoﬀ vectors as linear spaces, but in this paper, we present another approach to analyze solutions from the viewpoint of representation of the symmetric group. First, we regard the space of games as a representation of the symmetric group. Then, by using tools of representation theory, we obtain a decomposition of the space and specify useful subrepresentations. Exploiting this decomposition, we show an explicit formula of linear symmetric solutions. Additionally, we also show expressions of linear symmetric solutions restricted by parts of the axioms of the Shapley value for bicooperative games.
Hydrological Scenarios and Malaria Incidence in the Amazonian Context

In Brazil, approximately 99% of malaria cases are concentrated in the Amazon region. An acute febrile infectious disease, malaria is closely related to climatic and hydrological factors. Environmental variables such as rainfall, flow, level, and color of rivers, the latter associated with the suspended sediment concentration, are important factors that can affect the dynamics of the incidence of some infectious diseases, including malaria. This study explores the possibility that malaria incidence is influenced by precipitation, fluctuations in river levels, and suspended sediment concentration. The four studied municipalities are located in two Brazilian states (Amazonas and Pará) on the banks of rivers with different hydrological characteristics. The results suggest that precipitation and river level fluctuations modulate the seasonal pattern of the disease and evidence the existence of delayed effects of river floods on malaria incidence. The seasonality of the disease has a different influence in each municipality studied. However, municipalities close to rivers with the same characteristic color of waters (as a function of the concentration of suspended sediments) have similar responses to the disease.
Executive Turnover and Founder CEO Experience: Effect on New Ventures’ R&D Investment

As the direction and strategies of new ventures depend on the top management team (TMT)‘s stability and continuous efforts, we investigate the relationship between executive turnover and research and development (R & R&D) investment. Furthermore, we assess the moderating role of the founder chief executive officer (CEO)’s prior experiences to show that founders’ experiential knowledge mitigates the adverse side effects of executives’ departure. Our empirical analysis utilizes a large pool of firm-level survey datasets comprising 1897 Korean founder-led ventures. The empirical results show that executive turnover reduces R&D intensity, suggesting that new ventures’ longer-term investments may be affected by the instability of the management team. We also show that the negative effects of executive turnover weaken when the founder CEO has a longer prior work experience, prior business group experience, and founding experience. Our findings show that the founder CEO’s entrepreneurship based on valuable prior experiential knowledge mitigates the negative impact of organizational instability. While the TMT factor is essential for a new venture’s survival, our findings show that the manner in which leaders act should also be considered separately.
The Effectiveness of Picture Word Inductive Learning Model in Improving Literacy Ability in Early Childhood

Learning literacy for early childhood is very important. It aims to improve reading and understand a word and even a text from an early age. Therefore, various learning models are significant to support students' literacy skills at an early age. To discover the need for an appropriate learning model to improve literacy skills in early childhood, it is necessary to explore and try out an appropriate learning model, in this case, the pictorial word inductive learning. Besides being an effort to find out the prototype of the learning model, it is also to find out the effectiveness of the Inductive Word Picture learning model to improve literacy skills in early childhood. This research is the development of learning creativity. The Inductive Word Picture learning model is a learning model that can be measured its validity and effectiveness. Therefore, this study uses a qualitative descriptive method, the method used for in-depth research on an applied learning model. From the learning process, the learning outcomes can be derived in depth through the variable data obtained in the sample of the research object. So, the hypothesis in this study is the effectiveness of the pictorial word learning model (ILM) in improving literacy skills in early childhood, concerning the research methodology used. To find out, it is necessary to do research in detail by the research methodology that will be used so that the hypothesis in this study is answered and can answer the prototype of the learning model in improving the literacy skills of students at an early age.
Technology Acceptance Model in Supporting the Tendency to Use Applications and Impulsive Buying on Purchase Decisions

This article presents the results of the mapping carried out taken from various sources with a total of 20 articles that are used as mapping materials. Starting from 2004 to 2021. Based on existing theory, TAM consists of several factors, namely Risk Factors, Usefulness, and added value where the stronger these factors are, the stronger a technology can be accepted. The perceived ease can trigger impulse buying and purchasing decisions. The purpose of this study is to determine the relationship and correlation between TAM and impulse buying on purchasing decisions among students who use shopee e-commerce as a shopping medium.
Tribological behavior of epoxy nanocomposites under corrosive environment: effect of high-performance boron nitride nanoplatelet

: This paper sheds light on the impact of corrosive service conditions on the mechanical and tribological performances of epoxy nanocomposites containing 0.5 wt. % hexagonal boron nitride (BN) nanoplatelets as fillers. The composite samples were aged in 10 wt% H 2 SO 4 solutions by immersion for 504 hours. Variation in mechanical and tribological behaviors during immersion was investigated using tensile and ball-on disk tests. The ball-on disk tests were performed at room temperature under a 10 N constant load and 0.8 m/s speed for 3000 seconds. The high-performance BN nanoplatelets improved neat Epoxy's tensile strength, toughness, and wear performance by 17%, 27%, and 56%, respectively. The aging results revealed that H 2 SO 4 exposure deteriorates the mechanical performance of all epoxy composite samples, even though BN/Epoxy nanocomposites exhibited better resistance to the corrosive environment. In contrast, the tribological performance increased with the acidic solution exposure that acts as a lubricant and forms a corrosive protective layer after the immersion of 504 hours. active on wear behavior and friction coefficiency. This study investigates the influences of acidic conditions on both mechanical performance and wear behaviors of epoxy polymer composite material modified with nano boron nitride (BN) nanoplatelets using the tensile and ball-on-disk wear tests. The neat Epoxy samples and BN/Epoxy nanocomposites are immersed in the sulphuric acid solution at room temperature and kept for 504 hours. The changes in the properties of the composite samples are determined after every 168 hours of immersion and compared with each other. The wear tracks of both neat Epoxy and BN/Epoxy nanocomposites are examined using optical microscopy to identify the acidic aging-induced damage mechanisms.
Feeding Bakery Former Foodstuffs and Wheat Distiller’s as Partial Replacement for Corn and Soybean Enhances the Environmental Sustainability and Circularity of Beef Cattle Farming

The effects of the partial substitution of corn and soybean meals with bakery former foodstuffs (BFF) and wheat wet distiller’s grains (WDGs) on environmental sustainability, production performance, and health status were evaluated in beef cattle. Newly arrived Limousine beef heifers (n = 408) housed an intensive farm in Campagnatico (Grosseto, Italy) were balanced for initial weight and body conformation and then randomly divided in two groups: (i) Traditional corn–soybean meal diet; (ii) Circular diet with average as-fed 1.5 kg BFF and 1.5 kg WDGs as substitute for 1.6 kg corn and 0.3 kg soybean meal. The environmental impact of the diet was analyzed considering greenhouse gases emissions (GHG, kg CO2 eq), water (H2O, L), and land use (LU, m2) as well as consumption of human-edible feeds (HE, kg). The growth performance, feed intake (FI), feed conversion ratio (FCR), carcass characteristics, apparent total tract digestibility (aTTD), and health status of heifers were evaluated. The Circular diet led to a reduction per kg of cold carcass weight (CCW) of 1.00 kg CO2 eq of GHG, 72.38 L of H2O, 1.20 m2 of LU, and 0.95 kg of HE (p < 0.0001). Growth performances, carcass characteristics, and health status were not affected (p > 0.05). Sugar and pectin aTTD were significantly higher (p < 0.0001) in the Circular group. Replacing traditional feed ingredients with BFF and WDGs reduced the environmental impact of the diet of fattening Limousine heifers and the food competition between humans and beef cattle in accordance with circular economy principles.
Adaptation of Soil Spectral Reflectance Technique for Monitoring and Managing of Center-Pivot Irrigation Water

Center pivot irrigation system has the potentiality for economically net –return of various crop patterns, although it’s higher fixed costs inputs. Therefore, water management under the specified center pivot irrigation system can play a crucial role in maximizing water unit productivity and enhancing physical-agricultural resources sustainability. Hereby, the aim of this research was to evaluate the optional of a general reflectance model based solely on soil moisture distribution pattern as a key for on-farm irrigation management under center pivot irrigation system. Data revealed that the relative reflectance was strongly correlated with soil moisture contents. However, the best correlation was found act high soil moisture level between the reflectance values of 700 nm (Red-NIR) wave length and the volumetric water content (R² = 0.9). Moreover, the observed data could help to quality the strong in influence of soil moisture on spectral reflectance and absorption features and should aid in the development operational and management algorithms of on-farm irrigation systems.
A Biological Monitoring Method based on the Response Behavior of Caenorhabditis Elegans to Chemicals in Water

In this paper, based on the behavior of Caenorhabditis elegans (C. elegans) in response to a toxic substance, we propose a novel biological monitoring method for the detection of water contamination. Both before and after the introduction of formaldehyde into the water at the concentration of 0.1 ppm, the swimming activities of C. elegans are continuously recorded by a charge coupled device camera at the rate of four frames per second. The behavior in each of the image frames is characterized by the branch length similarity (BLS) entropy profile. The shapes quantified by the BLS entropy profiles are classified into seven shape patterns via the self-organizing map combined with the k-means clustering algorithm. Subsequently, a monitoring scheme composed of two hidden Markov models decides the water quality based on the sequence of shape patterns over a certain observation time. The performance of the proposed method is generally affected by the observation interval; yet, experimental results show an accuracy of about 83% for an observation time of five minutes. It is also observed that, by taking the distribution of individual decisions into account, the accuracy of the proposed method can be improved up to 93% and the false negative rate can be reduced to 10%.
Enhancement-Mode GaN MOS-HEMT with Quaternary InAlGaN-Barrier

The quaternary InAlGaN-barrier GaN MOS-HEMT (high-electron-mobility transistor) with enhancement mode operation was displayed as Vth=0.65V and the maximum drain current ~ 40 mA/mm at VDS=10V with LG=15μm and LGD=20μm. The measured rocking-curve and RSM (reciprocal space mapping) for epitaxial quality was confirmed the composition of the quaternary and analyzed the relaxation between InAlGaN-barrier and GaN Buffer layer. The surface roughness of InAlGaN was observed by AFM (Atomic force microscopy). The positive polarity of Vth was obtained with the gate lengths 3-30μm, and short channel effect was discussed.
Four Public Self-Service Applications: A Study of the Development Process, User Involvement and Usability in Danish public self-service applications

— This paper presents a case study of four software companies in Denmark developing self-service applications for the same self-service area. This study outlines the process of how the four companies developed their self-service applications and a usability study of the completed software solutions. In this study, we have analysed the customer and end-user involvement and compared these results to the results of the usability evaluations. The main findings show that the usability varied in the four cases, and the ones who had the most customer involvement from case workers showed the highest number of usability problems in the self-service solutions for the citizens. We discuss the user-centred design approaches used, the drawbacks and benefits of customer and user involvement, and case workers acting as citizen representation during the development process of the software.
Deep Learning Methods for Accurate Skin Cancer Recognition and Mobile Application

Although many efforts have been made through past years, skin cancer recognition from medical images is still an active area of research aiming at more accurate results. Many efforts have been made in recent years based on deep learning neural networks. Only a few, however, are based on a single deep learning model and targeted to create a mobile application. Contributing to both efforts, first we present a summary of the required medical knowledge on skin cancer, followed by an extensive summary of the most recent related works. Afterwards, we present 11 CNN (convolutional neural network) candidate single architectures. We train and test those 11 CNN architectures, using the HAM10000 dataset, concerning seven skin lesion classes. To face the imbalance problem and the high similarity between images of some skin lesions, we apply data augmentation (during training), transfer learning and fine-tuning. From the 11 CNN architecture configurations, DenseNet169 produced the best results. It achieved an accuracy of 92.25%, a recall (sensitivity) of 93.59% and an F1-score of 93.27%, which outperforms existing state-of-the-art efforts. We used a light version of DenseNet169 in constructing a mobile android application, which was mapped as a two-class model (benign or malignant). A picture is taken via the mobile device camera, and after manual cropping, it is classified into benign or malignant type. The application can also inform the user about the allowed sun exposition time based on the current UV radiation degree, the phototype of the user’s skin and the degree of the used sunscreen. In conclusion, we achieved state-of-the-art results in skin cancer recognition based on a single, relatively light deep learning model, which we also used in a mobile application.