Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Study on Infrared Temperature Characteristics and Failure Modes of Marble with Prefabricated Holes under Uniaxial Compression

In rock engineering, it is of great significance to study the failure mechanical behavior of rocks with holes. Using a combination of experiment and infrared detection, the strength, deformation, and infrared temperature evolution behavior of marble with elliptical holes under uniaxial compression were studied. The test results showed that as the vertical axis b of the ellipse increased, the peak intensity first decreased and then increased, and the minimum value appeared when the horizontal axis was equal to the vertical axis. The detection results of the infrared thermal imager showed that the maximum temperature, minimum temperature, and average temperature of the observation area in the loading stage showed a downward trend, and the range of change was between 0.02 °C and 1 °C. It was mainly due to the accumulation of energy in the loading process of the rock sample that caused the surface temperature of the specimen to decrease. In the brittle failure stage, macroscopic cracks appeared on the surface of the rock sample, which caused the energy accumulated inside to dissipate, thereby increasing the maximum temperature and average temperature of the rock sample. The average temperature increase was about 0.05 °C to about 0.19 °C. The evolution of infrared temperature was consistent with the mechanical characteristics of rock sample failure, indicating that infrared thermal imaging technology can provide effective monitoring for the study of rock mechanics. The research in this paper provides new ideas for further research on the basic characteristics of rock failure under uniaxial compression.
Unstable rarefied gas flow conditions in a channel

Nonlinear dynamic system corresponding to rarefied gas flow in a channel is investigated. Under certain conditions corresponding iterative equations may have unstable solutions in some regions of the values of gas-surface interaction parameters [1]. Numerical calculations have demonstrated that a negligible change of one of the parameters of scattering function (less than 1%) near the bifurcation points causes the substantial difference in gas flow in a channel. As well non-random solutions as random solutions can be observed on bifurcation diagrams. Some of obtained solutions have a physical meaning of locking the channel, i.e. its conductivity reduces significantly. The scattering function is supposed to be close to ray-diffuse model, where the ray model, as well as the specular model, determines only one velocity of reflected gas atoms by given incident velocity. The ray-diffuse model has better experimental confirmation in comparison with the specular-diffuse model widely applied in practical DSMC cal.
Bioengineering of Human Artificial Ovary From Cryopreserved Tissue: Optimization of the Follicles Enzymatic Isolation.

Background: This study aims to evaluate the effectiveness of Tumor Dissociation Enzyme (TDE) for the isolation of cryopreserved human ovarian cortex tissues, proposing an optimized applicable for artificial ovary.Methods: This is a prospective experimental study. We present a comparative analysis among the outputs of follicles isolated from cryopreserved ovarian biopsies of ten young women undergoing laparoscopy. Follicles were isolated by Tumor Dissociation Enzyme (TDE) or Liberase Dispase High (DH) enzymatic digestion. Follicles were assessed by evaluating the number, viability, morphology, oxidative stress. Moreover, the follicle growth and viability were analyzed after eight days of in vitro culture (IVC) between each protocol.Results: The recovery rate of follicles in Group 1 was significantly higher by 78 follicles compare to Group 2 (p < 0.05), while the difference in weight and volume of biopsies in both groups was no significant (p > 0.05). Group 1 allowed to isolate more primordial follicles (p < 0.05) and smaller diameter of follicles (p < 0.01) than Group 2. Group 1 allowed to isolate 7% more of bright red follicles than Group 2 (p < 0.01). We also found that Group 1 had isolated a significantly higher percent of viable follicles (p < 0.05), more morphologically normal follicles (p < 0.05), and lower oxidative stress levels compared with Group 2 (p < 0.01). The velocity of follicles growth from Day 0 to Day 8 in Group 1 was significantly higher (p < 0.05) than in Group 2. The viability of follicles on Day 8 of in vitro culture in Group 1 was significantly higher than Group 2 (p < 0.05). Conclusions: TDE treatment can be an alternative for Liberase DH, allows the isolation of highly viable follicles from the cryopreserved human ovarian cortex, with an intact morphology and low oxidative stress, and with high proliferation potential after culture in vitro.
Retail Regulation in South Korea: The NoBrand Case

This study examines how NoBrand has faced legal regulations in Korea, and NoBrand’s transition to the franchise system to respond to regulatory changes (examined with a case analysis). In 2015, Emart, a Korean retail giant, launched its private brand (PB), NoBrand, to address stagnant sales. With advantages in price and quality due to supply chain management (SCM), NoBrand not only established a successful foothold, but also gained success in the market. Despite the rapid growth of NoBrand, it has faced government regulations that restrict its operations. To respond to these regulations, NoBrand changed its direct operating system to a franchise system that allows an individual owner to run his or her own NoBrand store. However, the transition triggered conflicts with both local stakeholders and other branches of its parent firm, Emart. By analyzing these conflicts, this study finds that Korean retail policy did not effectively protect small business owners as primarily aimed.
Calculated cyclotron-based scandium-47 production yields via 48Ca(p, 2n)47Sc nuclear reaction

Scandium-47 is a promising particle emitter that has been suggested as a candidate for radiotheranostics. Thus, better understanding of optimum irradiation parameters, radioactivity yields and possible impurities during its production is of paramount importance. The theoretical calculation of the end-of-bombardment (EOB) results is performed using Microsoft Excel following the calculation of the excitation function obtained from the TALYS software and the stopping power obtained from the SRIM software can be accessed for free. According to the TALYS code calculations, the threshold energy for 47Sc production was 8.39 MeV, whereas the maximum cross-section (879 mbarn) occurred at proton incident energy of 17 MeV. The calculated EOB yield for 48Ca(p,2n)47Sc nuclear reaction at 60 MeV proton energy was found to be 449 MBq/μAh, which was suitable quality for typical radionuclide production. Besides, three radionuclides, i.e. 48Sc, 46Sc and 47Ca were predicted to be the main impurities in the 47Sc production. However, in order to minimize the production of 48Sc, 46Sc and 47Ca impurities radionuclide the safest and optimum proton energy should be between 23 and 30 MeV, which can be achieved using the available 26 MeV cyclotron. This study can be used as a reference for future 47Sc production when proton beams of up to 60 MeV are employed.
Acoustic Emission Analysis for Wind Turbine Blade Bearing Fault Detection Under Time-Varying Low-Speed and Heavy Blade Load Conditions

This article uses acoustic emission (AE) analysis to diagnose an industrial-scale and slow-speed wind turbine blade bearing. The main challenge for AE analysis is that the fault signals are mingled with heavy noise. As a result, the objective of this article is to filter the raw AE signals and extract weak fault signals. To achieve this goal, a general linear and nonlinear auto-regressive (GLNAR) model is first developed to exploit the nonlinear characteristics of the AE signals. Then, the sparse augmented Lagrangian (SAL) algorithm is applied to learn the built GLNAR model and filter the raw AE signals. The characteristics of SAL is that it is a novel sparse representation technique which can convert the original filtering problem into a number of suboptimization problems, and these subproblems can be solved separately. Finally, as the blade bearing rotates at fluctuating speeds, the filtered signals are resampled so that the bearing fault type can be diagnosed in the order domain. The proposed diagnostic framework was validated in several experiments under time-varying low-speed and heavy-blade-load conditions. The results indicate that our proposed methods are effective and accurate.
On the Optimization of a Multimodal Electromagnetic Vibration Energy Harvester Using Mode Localization and Nonlinear Dynamics

In this paper we study a generic model of a nonlinear quasiperiodic vibration energy harvester (VEH) based on electromagnetic transduction. The proposed device consists of multiple moving magnets guided by elastic beams and coupled by repulsive magnetic forces. A system of two degrees-of-freedom (DOFs) with tunable nonlinearity and mode localization is experimentally validated. The validated 2-DOFs harvester is optimized using a multiobjective optimization procedure to improve its harvested power and frequency bandwidth. An efficient criterion using the modal kinetic energy of the finite element model is proposed to quantify the energy localized in the structure perturbed zones. Afterward, this concept has been generalized to a 5-DOFs VEH with two perturbed DOFs oscillators and the optimal performances are derived using a multiobjective optimization. This proposed model enables a significant increase in the harvested power and frequency bandwidth by 101% and 79%, respectively, compared to that of the 2-DOFs device. Moreover, it has been shown that harvesting energy from two perturbed magnets among five provides almost the same amount of harvested energy and enhances the frequency bandwidth by 18% compared to those of the periodic system. Consequently, the harvester can be improved by reducing the transduction circuits number and the manufacturing cost.
On the potential of wearable bioimpedance for longitudinal fluid monitoring in end-stage kidney disease.

Bioimpedance spectroscopy (BIS) has proven to be a promising non-invasive technique for fluid monitoring in HD patients. While current BIS-based monitoring of pre- and post-dialysis fluid status utilizes benchtop devices, designed for intramural use, advancements in micro-electronics have enabled the development of wearable bioimpedance systems. Wearable systems meanwhile can offer a similar frequency range for current injection as commercially available benchtop devices. This opens opportunities for unobtrusive longitudinal fluid status monitoring, including transcellular fluid shifts, with the ultimate goal of improving fluid management, thereby lowering mortality and improving quality of life for HD patients. Ultra-miniaturized wearable devices can also offer simultaneous acquisition of multiple other parameters, including hemodynamic parameters. Combination of wearable BIS and additional longitudinal multiparametric data may aid in the prevention of both hemodynamic instability as well as fluid overload. The opportunity to also acquire data during interdialytic periods using wearable devices likely will give novel pathophysiological insights and the development of smart (predicting) algorithms could contribute to personalizing dialysis schemes and ultimately to autonomous (nocturnal) home dialysis. This review provides an overview of current research regarding wearable bioimpedance, with special attention to applications in ESKD patients. Furthermore, we present an outlook on the future use of wearable bioimpedance within dialysis practice.
Pollination in the campo rupestre: a test of hypothesis for an ancient tropical mountain vegetation

The campo rupestre is a Neotropical OCBIL (old, climatically buffered infertile landscape), a grassy-shrub vegetation with high species richness and endemism, characterized by rocky outcrops surrounded by grasslands distributed in South American ancient mountaintops. We tested one OCBIL prediction: the prevalence of long-distance pollinators ensuring cross-pollination across the archipelago-like landscapes of the campo rupestre. We described the pollination systems and tested whether their frequency differed across vegetation types and elevation, focusing on long-distance systems. We performed non-systematic and systematic surveys of plants and plant-pollinator interactions across the elevation gradient and vegetation types. We also reviewed the literature on campo rupestre pollination and applied an accuracy criterion to infer 11 pollination systems. The bee system was split into large bee (long-distance) and small bee (shorter distances) to test the prevalence of long-distance pollination systems. We surveyed 413 pollinator species, mostly bees (220) and flies (69). Among the 636 plant species studied, the bee pollination system was dominant (56%), followed by wind and hummingbird. Wind, small-bee and fly pollination systems increased with elevation, and small-bee and wind pollination systems prevailed in grasslands. Large-bee and hummingbird long-distance pollination systems remained unchanged with elevation and were more frequent in the highly isolated rocky outcrops corroborating the OCBIL theory.
Typology Selection of Retaining Walls Based on Multicriteria Decision-Making Methods

In civil engineering and construction, in the selection of the most adequate and sustainable alternative, all of the alternatives and selection criteria, such as the requirements of the construction process (which are often overlooked) and the preferences of designers, clients, or contractors, are not always taken into account. The purpose of this article is to suggest a methodology that may allow studying all of the possible alternatives to find the most ideal solution among all of the existing possibilities for the selection of retaining walls to be built in infrastructures in different environments. For this purpose, all typologies of retaining walls and selection criteria (external requirements, construction requirements, characteristics of the natural land and economic criteria) are first identified. Subsequently, a simple methodological method is proposed, allowing the relative importance of each criterion to be established and allowing us to select the most suitable solution for each situation by successively applying different multicriteria decision-making methods. Finally, the methodology developed is applied to two projects in different locations with different constraints. The results obtained provide a set of compromise solutions that remain as best-rank alternatives when the weights of the criteria change. Therefore, the methodology developed can be applied to the selection of typologies of other structures in future projects.
ASSESSMENT OF SUBCLINICAL MASTITIS EFFECTS ON LIVE WEIGHT, BODY CONDITION SCORE (BCS) AND EXTERNAL UDDER MEASUREMENTS OF DORPER SHEEP

Mastitis is an inflammation of the mammary gland that can be classified as clinical and subclinical mastitis. The clinical mastitis can be diagnosed based on clinical signs, whilst subclinical mastitis mostly through somatic cell count (SCC). This study was carried out to determine the subclinical mastitis effects on live weight, body condition score (BCS) and external udder traits of Dorper sheep. A total 16 Dorper ewes were selected and screened for mastitis using the Californian mastitis test (CMT). The live weight, BCS and external udder traits (i.e. udder length (UL), udder width (UW), rear udder depth (RUD), cistern depth (CD) and teat length (TL) of the ewes were measured. The subclinical mastitis did not affect the live weight and BCS of Dorper ewes. Whilst for external udder measurements; the highest average of udder length, udder width, rear udder depth and cistern depth were indicated in CMT score as strong positive which shows that the measurement values of external ewes’ udder are increased when the strength detection of CMT scores increased and vice versa. However, all of the external udder parameters measured were not statistically (P>0.05) affected by the mastitis infection scores. The present results indicate that live weight, BCS and all external udder parameters did not influence the subclinical mastitis detected in the milk’s samples of the ewes. This study suggests that subclinical mastitis does not directly affected by morphology alteration of external udder traits, live weight or BCS, however it is likely affect the quality of milk produced.
How environmental values influence trust and beliefs about societal oversight and need for regulation of the Australian cattle industry

Livestock grazing covers half of Australia and vast areas of global terrestrial ecosystems. The sustainability of the beef cattle industries are being scrutinised amid ongoing environmental concerns. In response, industry discourse has identified public trust as critical to avoiding reactive environmental regulation. However, public perceptions of the cattle industry’s sustainability performance and trust are largely unknown and speculative. We present the first model of public attitudes toward the Australian cattle industry (n = 2913). Our results reveal that societal perceptions of the industry’s environmental performance strongly predict trust in the industry. However, trust only weakly predicts a perceived right for societal oversight and has only an indirect relationship on need for environmental regulation. Environmental values influence perceptions of industry performance and the perceived right for societal oversight. We conclude that effective industry governance must be values literate and recognise that strong environmental performance is critical for public trust. Public trust is high but does not translate to support for a relaxed regulatory environment.
An Critical Analysis of Speech Recognition of Tamil and Malay Language Through Artificial Neural Network

Human and Computer interaction has been a part of our day-to-day life. Speech is one of the essential and comfortable ways of interacting through devices as well as a human being. The device, particularly smartphones have multiple sensors in camera and microphone, etc. speech recognition is the process of converting the acoustic signal to a smartphone as a set of words. The efficient performance of the speech recognition system highly enhances the interaction between humans and machines by making the latter more receptive to user needs. The recognized words can be applied for many applications such as Commands & Control, Data entry, and Document preparation. This research paper highlights speech recognition through ANN (Artificial Neural Network). Also, a hybrid model is proposed for audio-visual speech recognition of the Tamil and Malay language through SOM (Self-organizing map0 and MLP (Multilayer Perceptron). The Effectiveness of the different models of NN (Neural Network) utilized in speech recognition will be examined.
Hunting and Use of Wildlife Species in the Semi-Arid Region of Brazil

This article investigates the socio-cultural and ecological aspects associated with the hunting of wild animals by the inhabitants of the Cruz village, State of Alagoas. The data was obtained through semi-structured interviews and informal conversations. A total of 23 species was indicated as a game, with mammals being preferred by the population. Among the techniques of capture, the hunting of persecution with dog and hunting with a shotgun stands out, in addition to the shuttlecock, used to reach the birds with small stones. Four forms of animal use were recorded: food, medicine, pets, and control. Despite being indicated as one of the main causes of the reduction of wildlife, hunting is strongly related to the socio-cultural aspects of the Brazilian semi-arid populations. Thus, proposals for the management of wildlife resources in traditional communities must take into account the needs of these populations.
An Application of the Results from the Large-Scale Thermal Stimulation Method of Methane Hydrate Dissociation to the Field Tests

Methane hydrate formation and the gas recovery from the hydrates using the thermal stimulation method was studied in a large-scale laboratory reactor. A large-scale laboratory reactor (59 L volume) was used in this study. The efficiencies of gas recovery and energy utilization were studied over two different values of initial hydrate saturation (30% and 50%) and three different values of heating rates (20, 50, and 100 W). Results obtained from the tests demonstrate that with the initial hydrate saturation (SH) remaining constant (50% SH); total recovery of methane increases from 40% to 52% to 73% with a heating rate increase from 20 W to 50 W to 100 W. The average thermal efficiency, however, decreases from 86% to 84% to 82% over the same heating rate range. Alternately at a constant heating rate (100 W), total recovery of methane increased from 67% to 74% when an initial hydrate saturation was increased from 30% to 50%. We show that maintaining a constant heating rate throughout the dissociation is not t.
Tethered humanity: Humanizing self and others in response to interpersonal harm

We propose an integrative framework in which the self-image of perpetrators and victims in interpersonal conflictual relationships becomes tethered to each other. To the extent that both parties stop seeing themselves as fully human when interpersonal harm is inflicted, we theorize that this state motivates attempts at restoration. Specifically, we propose the tethered humanity hypothesis which ascertains that perpetrators or victims can reclaim their full human status by re-establishing the humanness of the opposing party. This hypothesis was analyzed from both the perspective of the perpetrator (Study 1-3) and the victim (Study 4). In all studies, results indicated that perpetrators or victims self-dehumanize in response to interpersonal harm and managed to regain a full human status when re-humanizing the opposing party. Interestingly, this process was interrupted when the opposing party did not accept attempts at reconciliation. Our findings offer a new interpersonal perspective on the implications of immoral behavior.
Analysis of the Effects of Floor Area Ratio Change in Urban Street Canyons on Microclimate and Particulate Matter

Air pollution, such as particulate matter (PM), and extreme weather are causing increasingly complex problems and socioeconomic damage in urban environments year-round. This study predicts extreme weather and air pollution changes that occur in urban street canyons as the basic data necessary for research on energy conservation. Changes in PM and microclimate elements based on the change in floor area ratio are analyzed. In addition, the effects of microclimate elements on the distribution of PM factors are examined. Based on the change in floor area ratio, high-concentration PM was negatively correlated with PM2.5, PM10, O3, NO2, NOx, Ta, Tmrt, and Tsurface. Extreme heat was observed to be negatively correlated with Tmrt and Tsurface, and extreme cold negatively correlated with PM2.5, PM10, NO2, and NOx. The higher the floor area ratio, the higher the wind speed (WS), indicating a positive correlation between the two factors. Ta, Tmrt, and Tsurface were observed to be negatively correlated with PM2.5, PM10, NO2, and NOx. WS showed negative correlations with PM2.5, PM10, NO2, and NOx. The results of this study can be used as basic data for the derivation of evaluation indices and to determine prediction and response strategies with respect to a combination of extreme weather and air pollution to ensure a suitable and sustainable quality of life. This study helps predict energy loads according to urban street canyon structures and examines whether trees and green walls are effective in reducing extreme weather and air pollution and saving energy.