Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Transmissibility of the Rear Suspension of a Mini-Baja Vehicle

This work presents a dynamical analysis of the transmissibility of an off-road vehicle rear suspension, which was developed in CEFET-RJ for the Mini-Baja / SAE-Brazil competition. A finite element model was developed to identify the critical points of the structure. Afterwards, electric strain gages were bonded at the most critical points to measure the dynamic strains due to an impact load. Accelerometers were bonded before and after rear suspension system to measure the main transmissibility characteristics of the suspension. The data obtained through an A/D converter with instrumentation software was used to evaluate the transmissibility of the rear suspension and other important dynamic characteristics. Finally, a simple twodegree of freedom model was developed to study the behavior of the rear suspension and the influence of the main parameters in the transmissibility of accelerations and loads to the structure. An estimate for an optimal suspension adjustment was obtained with this simple model. The results obtained with this methodology indicates that it can be used as an effective tool for the design and improvement for Mini-Baja vehicle, as the designer can work with more realistic loads. INTRODUCTION The Mini-Baja vehicle is completely developed and built by undergraduate engineering students with the orientation of a professor board. During the development, the students are exposed to a real engineering problem involving several areas of knowledge. CEFET-RJ participates on the SAE competition since 1997. In the competition these vehicles are submit to several tests that exposed it to severe conditions, where should respect technical and safety SAE standards. These vehicles are highly competitive which demands an optimized project using advanced technologies. Figure 1 shows the CEFETRJ vehicle that participated on the 1998 SAE event. During the design process of the Mini-Baja structure it is necessary to quantify the maximum loads in the suspension and the accelerations and loads transmitted to the structure by the suspension. Usually, in the design of a vehicle, a static analysis is developed considering a static load that is equivalent to the maximum dynamic load. The equivalent static load is estimated using factors obtained in literature. These factors are generally quite conservative and they strongly depend on the suspension type. It is well know
Use and evaluation of new organic fertilizers in the cultivation of Abelmoschus esculenthus (Okra)

Research objective: The objective of this work was to evaluate the properties and effect of certain organic fertilizers that can be used in organic farming in comparison with fertilizers of inorganic origin on Abelmoschus esculenthus plants. In addition, the interactions that can develop with microorganisms in the rhizosphere and the possible beneficial effects on transplant stress, nutrient uptake by roots and reduction of plant mortality were investigated. Materials and Methods: The experiments, which began in May 2022, were conducted in the greenhouses of CREA-OF in Pescia on plants placed in pots 12 cm in diameter and on which fertilizers of organic and inorganic origin were evaluated. In September 2022, plant height, number of leaves, leaf surface area, vegetative weight, root volume, root length, seeds per plant, number, weight, girth and length of pods, total substrate bacteria, substrate pH and number of dead plants were analysed. Results and Discussion: The experiment showed that the application of organic nitrogen and potassium fertilizers can significantly improve the quality and yield of Abelmoschus esculenthus plants. In general, a significant increase in height and vegetative and root growth of the plants was observed, especially in nitrogen and potassium synthesis, with an improvement also in the number of fruits and seeds per plant. Plant mortality also decreased significantly compared to the control with synthetic fertilizers, and microbial colonisation of the substrate increased, which probably affected the plants by influencing both vegetative and root growth and defence against biotic stressors. Conclusions: Organic fertiliser trials showed that these products can significantly improve plant growth by positively affecting the soil microbial component. This is an additional opportunity, especially for those farmers who not only seek to reduce the use of synthetic fertilizers, but also want to use sustainable techniques that better preserve plants and soils, while guaranteeing the production of quality products.
The Use of Different Anthropometric Indices to Assess the Body Composition of Young Women in Relation to the Incidence of Obesity, Sarcopenia and the Premature Mortality Risk

The objective of the study was to evaluate the stratification of young women based on the assessment of body composition according to several currently recommended anthropometric indices and parameters, as well as the presence of obesity, sarcopenic obesity and the risk of premature death. Three hundred and three young Caucasian women aged 18–25 years were included in the cross-sectional observational study. For the purposes of the study, we used the bioelectrical impedance method and applied the obtained data to calculate indices defining obesity, sarcopenic obesity and premature mortality risk (ABSI z-score). We found significant differences between indicators of total and abdominal obesity when determining the rate of risk of premature death and diagnosis of obesity. Our results also suggest that FMI and FM/FFM indices correlate excellently with fat mass and visceral adipose tissue, better than BMI. Even in the case of abdominal obesity, FMI appears to correlate relatively strongly, more so than BMI. The results of the study support the opinion that in the assessment of body composition and health status, the presence of obesity (sarcopenic obesity) and the risk of premature death, anthropometric parameters and indices focusing not only on body weight (BMI, ABSI), but also on the proportionality and distribution of fat (WC, WHR, WHtR, VFA) and muscle tissue (FFMI, SMMI, FM/FFM ratio) should be used.
The Effect of Tedlar Bags on the Composition of Exhaled Human Breath Samples

The PVF Tedlar is widely used for gas collection in clinical diagnostics and environmental research. However, sample collection is frequently associated with the degradation, adsorption, or transformation of sensitive chemicals. Here, we explore to what extent the Tedlar bag collection effects the composition of expired breath samples. Collected breath samples were analyzed using the EESI-MS technique after the storage time of 30 min, 1 h, 2 h, 3 h, 4 h, 5 h, and 6 h, respectively. Our results demonstrated the gradual MS signal decay after 3 h storage. The decay rate of 3 h is about 45% and 6 h is about 88%. Therefore, the Tedlar bag is suggested as a reliable breath holder on the time scale of <3 h.
A GRAVITATIONAL LENS MODEL FOR THE Lyα EMITTER LAE 221724+001716 AT z = 3.1 IN THE SSA 22 FIELD,

During the course of our Lyman continuum imaging survey, we found that the spectroscopically confirmed Lyα emitter LAE 221724+001716 at z = 3.10 in the SSA 22 field shows strong Lyman continuum emission (λrest ∼ 900 Å) that escapes from this galaxy. However, another recent spectroscopic survey revealed that the supposed Lyman continuum emission could arise from a foreground galaxy at z = 1.76 if the emission line newly detected from the galaxy at λobs ≈ 3360 Å is Lyα. If this is the case, as the angular separation between these two galaxies is very small (≈0.″6), LAE 221724+001716 at z = 3.10 could be amplified by the gravitational lensing caused by this intervening galaxy. Here we present a possible gravitational lens model for the system of LAE 221724+001716. First, we estimate the stellar mass of the intervening galaxy as M⋆ ∼ 3.5 × 109 M☉ from its UV luminosity and ∼3.0 × 107–2.4 × 109 M☉ through the spectral energy distribution fitting. Then, we find that the gravitational magnification factor ranges from 1.01 to 1.16 using the so-called singular isothermal sphere model for strong lensing. While LAE 221724+001716 is the first system of an LAE–LAE lensing reported so far, the estimated magnification factor is not so significant because the stellar mass of the intervening galaxy is small.
Effect of a Digital Literacy Program on Older Adults’ Digital Social Behavior: A Quasi-Experimental Study

In South Korea, digital literacy education programs are expected to help its older population participate in online welfare services to increase their social support, self-esteem and well-being. This quasi-experimental study assesses the effects of digital literacy education on digital device usage among rural-dwelling adults aged 65 and above and evaluates the positive effects of digital literacy education on depression, happiness, quality of life, self-efficacy and cognitive function. A digital literacy education program and a customized questionnaire survey were conducted to evaluate smartphone use competency and the program’s effects, respectively. We also conducted a chi-square test, paired t-test and difference-in-differences regression analysis. The experimental group showed a significant increase in smartphone usage and video recording capacity than the control group. The happiness and cognitive function scores for dementia screening increased significantly by a mean of 3.7 and 1.1 points, respectively, after digital literacy education. Cognitive function increased significantly by 1.305 points in the experimental group compared to the control group (β = 1.305, p = 0.05 *). Digital literacy education for older adults in rural areas greatly increased smartphone use, video recording capacity, happiness and cognitive function. Based on these findings, it is recommended that the government should implement digital literacy education for older adults in rural areas to increase their happiness and cognitive function.
Vietnamese Document Analysis: Dataset, Method and Benchmark Suite

Document image understanding is increasingly useful since the number of digital documents is increasing day-by-day and the need for automation is increasing. Object detection plays a significant role in detecting vital objects and layouts in document images and contributes to providing a clearer understanding of the documents. Nonetheless, previous research mainly focuses on English document images, and studies on Vietnamese document images are limited. In this study, we extensively benchmark state-of-the-art object detectors and analyze the performance of each method on Vietnamese document images. Moreover, we also investigate the effectiveness of four different loss functions on the experimental object detection methods. Extensive experiments on the UIT-DODV dataset are conducted to provide insightful discussions.
Holographic Consequences of a No Transmission Principle

Two quantum field theories whose Hilbert spaces do not overlap cannot transmit a signal to one another. From this simple principle, we deduce some highly nontrivial consequences for holographic quantum gravity. These include: (1) certain cosmological bounces are forbidden, (2) generic singularities inside black holes cannot be resolved, and (3) traversable wormholes do not exist. At the classical level, this principle rules out certain types of naked singularities and suggests that new singularity theorems should exist.
Purification of recombinant endoglucanase GH5-CBM72-CBM72 expressed in Escherichia coli

In a previous study, a gene GL0694641 coding for endoglucanase containing 3 domains GH5-CBM72-CBM72 was exploited from metagenomic DNA data of bacteria in Vietnamese goats’ rumen. The gene (eg5) encoding the mature enzyme (without signal peptide coding sequence) was optimized codons, artificially synthesized, and inserted into the pET22b(+) vector at NcoI and XhoI to generate expression vector pET22-eg5 for expression of the gene in Eschrichia coli. In this study, the gene eg5 was well expressed in E. coli BL21 and Rosetta 1 strains to produce recombinant endoglucanase of 77 kDa. The recombinant enzymes were expressed mainly in the soluble fractions of both strains. However, the enzyme expressed in E. coli BL21 was precipitated by imidazole at even a low concentration of 20 mM, whereas endoglucanase produced from E. coli Rosetta 1 strain was well soluble in buffers containing imidazole at concentrations of 20, 50, 200, and 250 mM. To our knowledge, this is the first study showing the negative effect of imidazole on recombinant protein. Endoglucanase expressed from strain E. coli Rosetta 1 was successfully purified by His-tag affinity chromatography using phosphate buffer saline (PBS). Protein contaminations were washed out by PBS buffer containing 20 mM and 75 mM imidazole then the target protein was harvested by the buffer containing 200 mM imidazole. After purification and desalting by the PD10 column, the recombinant endoglucanase had purity up to 97%. The pure enzyme exhibited endoglucanase activity hydrolyzing carboxymethyl cellulose in agar plate and by zymogram. The purified enzyme can be used as a material for its characterization.
A compact pattern reconfigurable antenna employing shorted quarterwave patch antennas

: In this study, a compact pattern reconfigurable antenna structure is proposed. The proposed antenna is a half-wave square microstrip patch antenna divided into two quarter-wave antenna portions by a conducting wall. This wall forces potential zero at the connection point; therefore, it separates the antenna into two independent quarterwave portions. Pattern reconfiguration is achieved by separate feeding of the quarter-wave portions. Phase difference between excitations of antenna ports result in variation at the maximum beam direction. Hence, pattern reconfiguration is achieved. Within such a compact antenna, beam steering up to 40 0 is achieved.
MULTI-COLOR OPTICAL MONITORING OF MRK 501 FROM 2010 TO 2015

We have monitored the BL Lac object Mrk 501 in the optical V, R, and I bands from 2010 to 2015. For Mrk 501, the presence of a strong host galaxy component can affect the results of photometry. After subtracting the host galaxy contributions, the source shows intraday and long-term variabilities for optical flux and color indices. The average variability amplitudes of the V, R, and I bands are 22.05 % , 22.25 % , and 23.82 % ? > , respectively, and the value of the duty cycle is 14.87%. A minimal variability timescale of 106 minutes is detected. No significant time lag between the V and I bands is found on one night. The bluer-when-brighter (BWB) trend is dominant for Mrk 501 on intermediate, short, and intraday timescales, which supports the shock-in-jet model. For the long timescale, Mrk 501, in different states, can have different BWB trends. The corresponding results for non-correcting host galaxy contributions are also presented.
Building up templates for nonrigid plane outlines

The authors study the outline synthesis problem of plane shapes based on their landmark point set. The approach is invariant not only to global transformation groups but also to local deformations. The main points of this approach are the characterization of an outline using a subset of points of its curve of curvatures and the use of certain specific splines to interpolate between these points. Each outline is considered as a sample of a distribution of probability which means it defines the pattern curve or shape. <<ETX>>
Investigation of Volume-of-Fluid Method to Simulate Melting-Solidification of CMAS Particles

The ingestion of CMAS (Calcium-Magnesium-Alumino-Silicate) particles into aircraft engines is an issue for both the safety and resilience of aircraft. CMAS ingestion process can erode compressor blades, erode/infiltration thermal barrier coatings, and lead to overheating and stall. To better understand the physical details, this paper presents a novel approach to exploring individual CMAS dynamics in the context of melting particles. The methodology was accomplished by resolving the details of a single CMAS particle using the volume-of-fluid method. To account for thermal properties of the flow and particle, melting-solidification modeling was implemented. The particle was initialized at a stagnant condition with a temperature under its solidus temperature. The flow around the particle was initialized at turbine relevant conditions, including high velocities and temperatures above the particle’s liquidus temperature. Transient conditions were explored in context of non-dimensional numbers (including slip Reynold’s Number, Weber number, and Ohnesorge number), as well as several ratios (ρs/ρg and Ts/T∞). For validation, sensitivity to mesh and input, as well as experimental comparisons were examined. The experimental comparison benchmarked the temperature ratio of particles at varying thermal Stokes numbers against the experimental correlation shown in Bojdo et al. [1].
Multi-Criteria Decision-Making with Linguistic Labels

This paper proposes an approach that is suitable for solving multi-criteria decision-making problems characterized by fuzzy (subjective) criteria. A finite set (universe) of alternatives will be expressed as a decision table that represents a fuzzy information system in which every fuzzy criterion is connected with a set of its linguistic values. We apply subjective preference degrees for linguistic values that should be provided by a decision-maker. To simplify the process of decision-making in big data environments, an additional stage will be introduced that can produce a smaller set of alternatives represented by fuzzy linguistic labels of similarity classes. We select a small set of similarity classes for the final ranking. A measure of compatibility will be defined that should express the accordance of a selected alternative with preferences given for the linguistic values of a particular fuzzy criterion.
Detecting Uninformative Research Job Titles via Classifier Failures - Zero Shot Approach

—The aim of this paper is to introduce a novel approach to detecting “uninformative” job titles in research domain, i.e., detecting titles that convey little or no information about the focus and/or content of a particular job – like “Academic staff member AP/2”, “PhD student position” etc. Such job titles decrease the success rate of job advertisements. The proposed approach belongs to zero shot approaches – it exploits only existing, easy accessible classiﬁcation of jobs to research ﬁelds and it does not require any additional (manual) annotations. This work introduces an experimental corpus and provides preliminary results of our approach.
A Novel Nociceptor Functional Circuit for Tactile Applications

In this research, the main functional characteristics of nociceptors are considered for designing a novel neuromorphic circuit in TSMC 180 nm CMOS technology with a 1.8 V supply voltage and 780 $\mu \text{W}$ power consumption. Indeed, the current study is the first analog circuit realization of the functional model of nociceptors. The proposed circuit includes three spiking neurons. The first and second neurons determine the pressure level and the active area of the stimulus, respectively. The pressure to active area ratio is sensed by the third neuron and helps for better discrimination of the input stimuli. To evaluate the performance of the proposed nociceptor circuit, we perform numerical simulations and robotic experiments. In this way, the 3D-printed objects with different sharpness are touched by a custom-made tactile sensor and the spiking responses from the nociceptor neuromorphic circuit are then collected. Next, machine learning algorithms are applied offline to classify objects based on the rate and time of the spike responses. The results show that by analyzing the spike patterns obtained from the bio-inspired circuit, it is possible to recognize stimuli after the emission of a few spikes. The proposed approach is the proof of concept that circuit implementation of the functional model of the nociceptors expands the range of object recognition and hence facilitates the fabrication of novel tactile sensory systems for bio-robotic and prosthetic applications.
Digital Business Transformation Methodologies: A Quasi-systematic Review of Literature

4 The globalized scenario of great competition in the corporate world and the use of new disruptive technologies, which are associated with a revolutionary innovation process, are leveraging current business models and awakening the latent need for companies to adapt definitively to this historic moment of transformation digital driven by the Pandemic of the new Coronavirus. In addition to the new commercial relationships using technology as a support base for all business processes, they are also highly dependent on the care with the privacy of the personal data used. Security incidents that occur with this data can drastically compromise the image of companies and also imply serious sanctions provided for in privacy laws such as the Brazilian LGPD - General Data Protection Law. Thus, this work aims to map state-of-the-art articles that address Digital Business Transformation Methodologies, aiming to understand how these methodologies can be replicated in companies to accelerate the reach of this new industrial revolution. A quasi-systematic review of the literature was carried out, involving the main methodologies created from the year 2011 and 127 studies were analyzed, and which 12 were considered relevant. The results show that the number of works related to Digital Transformation Methodologies is still very small and that it started to grow from 2017. The COVID-19 is one of the main reasons for last year's research. there is a diversity of countries studying the theme. Few articles refer to adequacy to the requirements of the privacy laws and protection of personal data existing in their countries.
POTASSIUM AND NANO-COPPER FERTILIZATION EFFECTS ON MORPHOLOGICAL AND PRODUCTION TRAITS OF OAT (AVENA SATIVA L.)

Potassium is the third essential nutrient of commercial fertilizers, which strengthens plants' abilities to resist diseases and plays a vital role in increasing crop yields and overall quality. Nanofertilizers offer benefits in nutrition management through their strong potential to increase nutrient uptake efficiency and release nutrients very slowly compared with conventional fertilizers. Potassium fertilizer and nano-copper fertilization effects on oat (Avena sativa L.) morphological and yield traits have been studied in the spring season 2020–2021 at the Department of Field Crops, College of Agriculture, University of Kerbala, Iraq. The said study conducted research with two factors, viz., potassium fertilizer levels (0, 80, and 160 kg ha-1) and nano-copper concentrations (0, 30, and 60 mg L-1) in a randomized complete block design (RCBD) with three replications. Potassium fertilization at the rate of 160 kg ha-1 produced the highest mean number of tillers, spikes m2, 1000-grain weight, biological yield, grain yield, and harvest index, with average values of 510.37 tillers m-2, 438.99 spikes m-2, 41.14 g, 26.52 ton ha-1, 5.85 ton ha-1, and 22.00%, respectively. The nano-copper application at the concentration of 60 mg L-1 followed by the values of 478.13 tillers m-2, 418.87 spikes m-2, 36.91 g, 4.69 ton ha-1, 25.25 ton ha-1, and 22.02%, respectively. The combined use of potassium (160 kg ha-1) and nano-copper (60 mg L-1) proved more effective in boosting the oat grain yield. Results revealed that the oat exhibited more favorable vegetative and productive development features after receiving potassium and nano-copper fertilization.