Miracle-dz/UniFAR-FTUs huggingface dataset:
Public Opinions of Farmer-Oriented Environmentally Friendly Extension Programs: A Case of Best Management Practices

Public concern about environmental protection has been developing for decades. However, a knowledge gap exists between farmers and consumers regarding the implementation of environmental protection practices through the use of Best Management Practices (BMPs). Extension can bridge this knowledge gap by developing effective educational programs about BMP use. This study sought to identify consumers’ perceptions of BMPs and preferred communication channels to facilitate the development of farmer-oriented Extension programs which assist with direct communication between farmers and consumers. Residents in seven Florida counties (N = 700) were surveyed for this descriptive study. Respondents were asked about their perceptions, beliefs, trust, and attitudes related to BMPs, as well as preferred communication channels for farming practices. The findings indicated the respondents either agreed or were undecided if farmers practice BMPs properly, and the majority perceived farmers’ engagement in BMPs as important. Over 60% of the respondents believed farmers practicing BMPs care about the environment and would trust and purchase products from BMPpracticing farmers. The respondents indicated their preferred information sources were mass media and communicating directly with farmers at farmers’ markets and local festivals. Therefore, Extension educators should develop educational programs for farmers emphasizing the need to communicate with consumers using consumers.
Visual SLAM Based on Semantic Segmentation and Geometric Constraints for Dynamic Indoor Environments

Simultaneous localization and mapping (SLAM), a core technology of mobile robots and autonomous driving, has received more and more attention in recent years. However, most of the existing visual SLAM algorithms do not consider the impact of dynamic objects on the visual SLAM system, resulting in significant system positioning errors and high map redundancy. Based on the ORB-SLAM2 algorithm, this paper combines semantic information and a geometric constraint algorithm based on feature point homogenization to improve the positioning accuracy of the SLAM system. Aiming at the problem that the feature points extracted by the ORB-SLAM2 algorithm are easily concentrated, and the extraction rate is low in the weak texture area, a feature point homogenization algorithm based on quadtree and adaptive threshold is proposed to improve the uniformity of feature point extraction. In addition, in view of the impact of dynamic targets on the SLAM system, the dynamic information in the scene is filtered out through the semantic segmentation network and the motion consistency detection algorithm, and the static feature points obtained after filtering are used to estimate the camera pose. Then, a semantic map is constructed after filtering out the dynamic point cloud according to the semantic information. Finally, the test results on Oxford and TUM datasets show that the uniformity of feature points extracted by the improved algorithm is increased by 56.3%. The positioning error of visual SLAM is reduced by 68.8% on average, and the constructed semantic map has rich semantic information and less redundancy.
History of Molluscan Fishery Regulations and the Shellfish Officer Service in Massachusetts

Oysters, Crassostrea virginica, and softshell clams, Mya arenaria, along the Massachusetts coast were harvested by European colonists beginning in the 1600’s. By the 1700’s, official Commonwealth rules were established to regulate their harvests. In the final quarter of the 1800’s, commercial fishermen began harvesting northern quahogs, Mercenaria mercenaria, and northern bay scallops, Argopecten irradians irradians, and regulations established by the Massachusetts Legislature were applied to their harvests also. Constables (also termed wardens), whose salaries were paid by the local towns, enforced the regulations, which centered on restricting harvests to certain seasons, preventing seed from being taken, and personal daily limits on harvests. In 1933, the Massachusetts Legislature turned over shellfisheries management to individual towns. Local constables (wardens) enforced the rules. In the 1970’s, the Massachusetts Shellfish Officers Association was formed, and was officially incorporated in 2000, to help the constables deal with increasing environmental problems in estuaries where fishermen harvest mollusks. The constables’ stewardship of the molluscan resources and the estuarine environments and promotion of the fisheries has become increasingly complex.
Avaliando a Eficácia de Redes Neurais Artificiais para Reconhecimento de Face Utilizando Raspberry Pi

A ascensão da robótica móvel fez com que diversas tarefas do cotidiano fossem executadas com o auxílio de plataformas computacionais. Aplicações de visão computacional voltadas ao reconhecimento de faces, embora seja uma tarefa simples para os humanos, demandam um grande poder de processamento. Este trabalho apresenta um sistema de reconhecimento facial utilizando redes neurais convolucionais e regressores softmax, tendo em vista avaliar as taxas de acurácia e desempenho da aplicação na plataforma computacional Raspberry Pi. Foram avaliadas 3 diferentes topologias de redes neurais, com 7 diferentes usuários, apresentando taxa de acurácia de 69.23% e tempo de execução médio de 301,45 ms, no melhor caso.
Using Bacteroidales genetic markers to assess fecal pollution sources in coastal waters

Fecal pollution is the leading cause of beach closures in coastal regions of the United States. Identification of fecal pollution sources is necessary to implement effective pollution control strategies. This study sought to determine whether humans and cattle contributed to the fecal contamination at a public beach in Alabama, USA. High levels of enterococci were observed after significant rainfall events, of which 36 samples (35.6%) exceeded USEPA's statistical threshold value of 130 CFU/100 mL. Quantitative polymerase chain reaction (qPCR) assays were used to determine general (AllBac), human‐ (HF183), and cattle‐associated (CowM3) Bacteroidales. There was a positive correlation between the levels of enterococci and AllBac markers. Our results suggest that fecal contamination from cattle was minimal and contamination from humans appeared to originate from diffuse sources. Stormwater runoff has the potential to supply considerable loads of fecal bacteria to coastal waters. Further research is needed to determine the contribution of other animals to fecal contamination in the region.
Impact of Chronic Inflammation in Psoriasis on Bone Metabolism

Psoriasis is a chronic inflammatory disease of the skin and joints associated with several comorbidities such as arthritis, diabetes mellitus and metabolic syndrome, including obesity, hypertension and dyslipidaemia, Crohn’s disease, uveitis and psychiatric and psychological diseases. Psoriasis has been described as an independent risk factor for cardiovascular diseases and thus patients with psoriasis should be monitored for the development of cardiovascular disease or metabolic syndrome. However, there is mounting evidence that psoriasis also affects the development of osteoporosis, an important metabolic disease with enormous clinical and socioeconomic impact. At present, there are still controversial opinions about the role of psoriasis in osteoporosis. A more in depth analysis of this phenomenon is of great importance for affected patients since, until now, bone metabolism is not routinely examined in psoriatic patients, which might have important long-term consequences for patients and the health system. In the present review, we summarize current knowledge on the impact of psoriatic inflammation on bone metabolism and osteoporosis.
Survey on Applying 3D Printing in Manufacturing the Cooling Systems of Electrical Machines

Additive manufacturing, also known as 3D printing, comprises the layer-by-layer depositing of a great variety of materials for processing parts of even very great complexity. This new industrial approach opens diverse innovative design perspectives in almost all industries, including the fabrication of electrical machines. There is constant stress on designers working in this field to improve efficiency and quality, even if the current manufacturing technology is at its maximum. Therefore, only a breakthrough in design concepts and fabrication can lead to so many needed improvements. Additive manufacturing can be the key to further developments in electrical machines fabrication since almost all its parts (iron cores, windings, housing, etc.) can be produced using this revolutionary method. In this paper, the possibilities of applying these new fabrication technologies to diverse cooling systems of electrical machines are surveyed. Also, the major advantages brought about by this new industrial approach are emphasized.
Microplastics vs. ichthyoplankton: effects of this interaction in controlled and estuarine environments

This literature review exploring the relationship between microplastics and ichthyoplankton was conducted in the main databases available online, considering the period from 2007 to 2021. Sixty articles were found reporting the presence of microplastics in estuarine environments (71.7%), and ingestion by ichthyoplankton in estuarine environments (16.6%) and under experimental conditions (11.7%). The most abundant microplastic found in natural environments was fiber (55%). Environments with densities between 17.5 and 4100 particles/m³ exhibited greater possibilities of ingestion of these particles by ichthyoplankton, the smaller the microplastic particle (63 μm-0.5 mm) the greater the probability (95%) of being ingested by ichthyoplankton (>2.56 mm). Danio rerio (zebrafish) was the species commonly used to assess the effects caused by the interaction between microplastics and ichthyoplankton under experimental conditions. The effects frequently reported were: increased heart rates (25%); growth inhibition (25%); interference in larvae’s swimming speed (53.4%); and inflammation in various organs (e.g., liver, intestine) (50%).
Recommender Systems, Ground Truth, and Preference Pollution

Interactions between individuals and recommender systems can be viewed as a continuous feedback loop, consisting of pre-consumption and post-consumption phases. Pre-consumption, systems provide recommendations that are typically based on predictions of user preferences. They represent a valuable service for both providers and users as decision aids. After item consumption, the user provides post-consumption feedback (e.g., a preference rating) to the system, often used to improve the system’s subsequent recommendations, completing the feedback loop. There is a growing understanding that this feedback loop can be a significant source of unintended consequences, introducing decision-making biases that can affect the quality of the “ground truth” preference data, which serves as the key input to modern recommender systems. This paper highlights two forms of bias that recommender systems inherently inflict on the “ground truth” preference data collected from users after item consumption: non-representativeness of such preference data and so-called “preference pollution,” which denotes an unintended relationship between system recommendations and the user’s post-consumption preference ratings. We provide an overview of these issues and their importance for the design and application of next-generation recommendation systems, including directions for future research.
Multi-Omics Analysis Reveals a Regulatory Network of ZmCCT During Maize Resistance to Gibberella Stalk Rot at the Early Stage

Gibberella stalk rot (GSR) caused by Fusarium graminearum is one of the most devastating diseases in maize; however, the regulatory mechanism of resistance to GSR remains largely unknown. We performed a comparative multi-omics analysis to reveal the early-stage resistance of maize to GSR. We inoculated F. graminearum to the roots of susceptible (Y331) and resistant (Y331-ΔTE) near-isogenic lines containing GSR-resistant gene ZmCCT for multi-omics analysis. Transcriptome detected a rapid reaction that confers resistance at 1–3 hpi as pattern-triggered immunity (PTI) response to GSR. Many key properties were involved in GSR resistance, including genes in photoperiod and hormone pathways of salicylic acid and auxin. The activation of programmed cell death-related genes and a number of metabolic pathways at 6 hpi might be important to prevent further colonization. This is consistent with an integrative analysis of transcriptomics and proteomics that resistant-mediated gene expression reprogramming exhibited a dynamic pattern from 3 to 6 hpi. Further metabolomics analysis revealed that the amount of many chemical compounds was altered in pathways associated with the phenylpropanoid biosynthesis and the phenylalanine metabolism, which may play key roles to confer the GSR resistance. Taken together, we generated a valuable resource to interpret the defense mechanism during early GSR resistance.
Myocardium Assessment by Relaxation along Fictitious Field, Extracellular Volume, Feature Tracking, and Myocardial Strain in Hypertensive Patients with Left Ventricular Hypertrophy

Background Previous research has shown impaired global longitudinal strain (GLS) and slightly elevated extracellular volume fraction (ECV) in hypertensive patients with left ventricular hypertrophy (HTN LVH). Up to now, only little attention has been paid to interactions between macromolecules and free water in hypertrophied myocardium. Purpose To evaluate the feasibility of relaxation along a fictitious field with rank 2 (RAFF2) in HTN LVH patients. Study Type. Single institutional case control. Subjects 9 HTN LVH (age, 69 ± 10 years) and 11 control subjects (age, 54 ± 12 years). Field Strength/Sequence. Relaxation time mapping (T1, T1ρ, and TRAFF2 with 11.8 μT maximum radio frequency field amplitude) was performed at 1.5 T using a Siemens Aera (Erlangen, Germany) scanner equipped with an 18-channel body array coil. Assessment. ECV was calculated using pre- and postcontrast T1, and global strains parameters were assessed by Segment CMR (Medviso AB Co, Sweden). The parametric maps of T1ρ and TRAFF2 were computed using a monoexponential model, while the Bloch-McConnell equations were solved numerically to model effect of the chemical exchange during radio frequency pulses. Statistical Tests. Parametric maps were averaged over myocardium for each subject to be used in statistical analysis. Kolmogorov-Smirnov was used as the normality test followed by Student's t-test and Pearson's correlation to determine the difference between the HTN LVH patients and controls along with Hedges' g effect size and the association between variables, respectively. Results T RAFF2 decreased statistically (83 ± 2 ms vs 88 ± 6 ms, P < 0.031), and global longitudinal strain was impaired (GLS, −14 ± 3 vs − 18 ± 2, P < 0.002) in HTN LVH patients compared to the controls, respectively. Also, significant negative correlation was found between TRAFF2 and GLS (r = −0.53, P < 0.05). Data Conclusion. Our results suggest that TRAFF2 decrease in HTN LVH patients may be explained by gradual collagen accumulation which can be reflected in GLS changes. Most likely, it increases the water proton interactions and consequently decreases TRAFF2 before myocardial scarring.
Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis

Background As direct-to-consumer genetic testing services have grown in popularity, the public has increasingly relied upon online forums to discuss and share their test results. Initially, users did so anonymously, but more recently, they have included face images when discussing their results. Various studies have shown that sharing images on social media tends to elicit more replies. However, users who do this forgo their privacy. When these images truthfully represent a user, they have the potential to disclose that user’s identity. Objective This study investigates the face image sharing behavior of direct-to-consumer genetic testing users in an online environment to determine if there exists an association between face image sharing and the attention received from other users. Methods This study focused on r/23andme, a subreddit dedicated to discussing direct-to-consumer genetic testing results and their implications. We applied natural language processing to infer the themes associated with posts that included a face image. We applied a regression analysis to characterize the association between the attention that a post received, in terms of the number of comments, the karma score (defined as the number of upvotes minus the number of downvotes), and whether the post contained a face image. Results We collected over 15,000 posts from the r/23andme subreddit, published between 2012 and 2020. Face image posting began in late 2019 and grew rapidly, with over 800 individuals revealing their faces by early 2020. The topics in posts including a face were primarily about sharing, discussing ancestry composition, or sharing family reunion photos with relatives discovered via direct-to-consumer genetic testing. On average, posts including a face image received 60% (5/8) more comments and had karma scores 2.4 times higher than other posts. Conclusions Direct-to-consumer genetic testing consumers in the r/23andme subreddit are increasingly posting face images and testing reports on social platforms. The association between face image posting and a greater level of attention suggests that people are forgoing their privacy in exchange for attention from others. To mitigate this risk, platform organizers and moderators could inform users about the risk of posting face images in a direct, explicit manner to make it clear that their privacy may be compromised if personal images are shared.
An Interval–Probabilistic CVaR (IP-CVaR) and Modelling for Unknown Probability Distribution of Some Random Variables

Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled inaccurately or the rough PDFs of the uncertainty are not entirely clear. To solve above problems, this paper presents a new uncertainty description method with the interval model and probabilistic model, respectively. Accordingly, a new risk method, named interval–probabilistic conditional value-at-risk (IP-CVaR) is proposed and its optimal model is firstly established. Under the condition of the interval uncertainty, two interval operators are defined, as well as the positive and negative spinning reserve models are established by the IP-CVaR, especially in the case of high penetration wind power integration. In this study, to describe the risk impact of interval uncertainty on the economic operation of the power grid, a novel risk-aware flexible joint economic dispatch model with the description of the interval and probabilistic uncertainties is established, which is the new formulation of two optimal problems, i.e., the lower and upper boundaries optimal models. Comparisons between the proposed IP-CVaR and other existing techniques are conducted, and the simulations on IEEE- 39 and 118 bus system are made to verify the superiority for the proposed IP-CVaR.
Enterprise Management Decision and Financial Management Based on Dynamic Cost Volume Profit Model

Under the background of today’s times, the internal and external environment of enterprises is complex and changeable. It is of great significance for the survival and development of enterprises to continuously reduce the business risks and improve the economic benefits of enterprises by adopting scientific decision-making methods. CVP (cost volume profit) analysis is a model established by sorting out variables related to business decisions in enterprise production through mathematical modeling. Based on the interpretation of cost behavior by multiple cost drivers, this paper establishes a dynamic CVP model of traditional CVP analysis, breaks through the limitations of original assumptions, and improves the application value of CVP analysis in practice. The model is applied to the business decision-making and financial management of a case enterprise, and the products with different characteristics of the enterprise are modeled and analyzed, so as to provide targeted improvement suggestions or strategies for the enterprise’s product production decision-making. The research shows that the dynamic CVP model can be used to formulate the financial management strategy to optimize the profits of enterprises, and it can achieve stable profits and development in the market competition.
Differences in the Measurement of Functional Residual Capacity Between Body Plethysmographs of Two Manufacturers

Abstract Body plethysmography is a fundamental method for the assessment of static lung volumes. Although equipment is provided by several manufacturers, there are no established cross-vendor tools for quality control. In the process of quality control and analysis of data on hyperinflation from the large COPD cohort COSYCONET, hints appeared that plethysmographs of different vendors might yield different values for static lung volumes. Functional residual capacity (FRC) differed about 0.67 litres between plethysmographs of the manufacturer Vyaire and Ganshorn. Absolute differences of residual lung volume (RV) and total lung capacity (TLC) were similar. It appears undeniable that differences of this magnitude have an impact on clinical interpretation. Thus, device harmonization seems to be required.
Neuropathic pain in patients with post-COVID-19

OBJECTIVE In this study, we aimed to determine the continuing pain during the post-COVID-19 period the frequency of neuropathic pain in these patients, and the factors affecting the frequency. METHODS A total of 209 participants were included in the study who had COVID-19 disease (PCR-positive) aged 18–75 years. The demographic characteristics and COVID-19 severity data were recorded by questioning the patients. The musculoskeletal pain was also assessed using Visual Analog Scale (VAS) and the extended Nordic musculoskeletal system questionnaire (NMQ-E). In addition, the neuropathic components of pain were evaluated using the Leeds Assessment of neuropathic symptoms and Signs (LANSS) pain scale and the Pain-DETECT questionnaire (PDQ). RESULTS The mean time elapsed since COVID-19 was 5.76±2.95 months (min, 1; max, 12). Six patients (2.9%) had neuropathic pain according to the LANSS score, and 12 patients (5.7%) according to the PDQ score. The NMQ-E indicated that the most pain was detected in the back (20.1%), low back (15.3%), and knee (11.5%) regions during the post-COVID-19 period. According to both neuropathic pain scales; low back pain (p=0.001/0.001) and knee pain (p=0.001/0.01) were more common in patients with PDQ/LANSS neuropathic pain. Logistic regression analysis showed that there were significant associations between neuropathic pain and acute COVID-19 VAS score. CONCLUSION This study demonstrated that musculoskeletal pain was prominent mostly in the back, low back, and knee during the post-COVID-19 period. The incidence of neuropathic pain was 2.9%–5.7% depending on the evaluation parameters. Neuropathic pain is a finding that should be considered during the post-COVID-19 period.