Miracle-dz/UniFAR-FTUs huggingface dataset:
How is it effective for farmers to adopt environmentally friendly cultivated land protection technology: a configurational perspective

The adoption of environmentally friendly farmland conservation techniques by farmers is an important way to effectively curb agricultural surface pollution and promote the conservation of farmland quality. Based on 425 farmers’ in-depth interview data, a fuzzy-set qualitative comparative analysis method was used to construct a psychological cognition (farmers’ awareness and willingness to participate)—external context (organizational linkages and government regulation)—behavioral effect model to reveal the conditional configuration and multivariate paths of psychological cognition and external contextual factors influencing farmers’ behavioral effects on the adoption of environmentally friendly farmland conservation technologies. The results show that individual behavioral decision factors do not influence the behavioral effects of farmers. The results show that individual behavioral decision factors are not necessary to drive the effective adoption of environmentally friendly farmland conservation technologies and that multiple decision factors interact to form three sets of configurations that enhance the behavioral effectiveness of farmers, summarized as the willingness-to-participate dominant model, the internal and external constraints dominant model, and the external context dominant model.
Unraveling multi-fixel microstructure with tractography and angular weighting

Recent advances in MRI technology have enabled richer multi-shell sequences to be implemented in diffusion MRI, allowing the investigation of both the microscopic and macroscopic organization of the brain white matter and its complex network of neural fibers. The emergence of advanced diffusion models has enabled a more detailed analysis of brain microstructure by estimating the signal received from a voxel as the combination of responses from multiple fiber populations. However, disentangling the individual microstructural properties of different macroscopic white matter tracts where those pathways intersect remains a challenge. Several approaches have been developed to assign microstructural properties to macroscopic streamlines, but often present shortcomings. ROI-based heuristics rely on averages that are not tract-specific. Global methods solve a computationally-intensive global optimization but prevent the use of microstructural properties not included in the model and often require restrictive hypotheses. Other methods use atlases that might not be adequate in population studies where the shape of white matter tracts varies significantly between patients. We introduce UNRAVEL, a framework combining the microscopic and macroscopic scales to unravel multi-fixel microstructure by utilizing tractography. The framework includes commonly-used heuristics as well as a new algorithm, estimating the microstructure of a specific white matter tract with angular weighting. Our framework grants considerable freedom as the inputs required, a set of streamlines defining a tract and a multi-fixel diffusion model estimated in each voxel, can be defined by the user. We validate our approach on synthetic data and in vivo data, including a repeated scan of a subject and a population study of children with dyslexia. In each case, we compare the estimation of microstructural properties obtained with angular weighting to other commonly-used approaches. Our framework provides estimations of the microstructure at the streamline level, volumetric maps for visualization and mean microstructural values for the whole tract. The angular weighting algorithm shows increased accuracy, robustness to uncertainties in its inputs and maintains similar or better reproducibility compared to commonly-used analysis approaches. UNRAVEL will provide researchers with a flexible and open-source tool enabling them to study the microstructure of specific white matter pathways with their diffusion model of choice.
Characteristics Score and Statistics Analysis of Functional Structure of Generalized Nonstationary Random Process

This article discussed the charaeteristics score of the functional structure of a nonstationary random process on the generalized complete probability space with martingale theory and stochastic process statistics method,and obtained wiener process,diffusion processes,Ito processes and a series of important results of analysis statistics of the functional structure under Gauss conditions.It is important for solving the optimum nonlinear filters of such measurable stochastic process.
A retrospective analysis of climate adaptation strategies and implications for food and nutrition security among small-scale farmers in South Africa

With the ever-increasing climate change, actions to reduce its negative impact while improving food and nutrition security are critical. This review is a retrospective analysis of climate adaptation strategies and implications for food and nutrition security among small-scale farmers in South Africa. The review used bibliometric analysis and Preferred Reporting Items for Systematic Reviews and Meta-Analysis to track research on implications of adaptation on food and nutrition security, identify adaptation strategies with implications on food and nutrition security and discuss the implications. The analysis shows a steady growth in the research field; however, whether the pace will accelerate the achievement of Sustainable Development Goal 2 by 2030 is unknown. Institutional research collaboration is notable, although weak. The co-occurrence of keywords reflects Climate-Smart Agriculture and food and nutrition linkages, emphasizes the importance of farmers’ perceptions on adopting measures to enhance food and nutrition security and illustrates the risk-vulnerability-resilience nexus. Adaptation measures with implications on food and nutrition security are varied, ranging from individual efforts to government-led initiatives. We recommend strengthening institutional research collaboration to accelerate the pace towards achieving zero hunger, food security and nutrition by 2030. It is also important to have an inclusive policy framework that addresses farmers’ adaptation needs.
Deep learning with microfluidics for on-chip droplet generation, control, and analysis

Droplet microfluidics has gained widespread attention in recent years due to its advantages of high throughput, high integration, high sensitivity and low power consumption in droplet-based micro-reaction. Meanwhile, with the rapid development of computer technology over the past decade, deep learning architectures have been able to process vast amounts of data from various research fields. Nowadays, interdisciplinarity plays an increasingly important role in modern research, and deep learning has contributed greatly to the advancement of many professions. Consequently, intelligent microfluidics has emerged as the times require, and possesses broad prospects in the development of automated and intelligent devices for integrating the merits of microfluidic technology and artificial intelligence. In this article, we provide a general review of the evolution of intelligent microfluidics and some applications related to deep learning, mainly in droplet generation, control, and analysis. We also present the challenges and emerging opportunities in this field.
Transcriptome profiling of flax plants exposed to a low-frequency alternating electromagnetic field

All living organisms on Earth evolved in the presence of an electromagnetic field (EMF), adapted to the environment of EMF, and even learned to utilize it for their purposes. However, during the last century, the Earth’s core lost its exclusivity, and many EMF sources appeared due to the development of electricity and electronics. Previous research suggested that the EMF led to changes in intercellular free radical homeostasis and further altered the expression of genes involved in plant response to environmental stresses, inorganic ion transport, and cell wall constituent biosynthesis. Later, CTCT sequence motifs in gene promoters were proposed to be responsible for the response to EMF. How these motifs or different mechanisms are involved in the plant reaction to external EMF remains unknown. Moreover, as many genes activated under EMF treatment do not have the CTCT repeats in their promoters, we aimed to determine the transcription profile of a plant exposed to an EMF and identify the genes that are directly involved in response to the treatment to find the common denominator of the observed changes in the plant transcriptome.
An auxin-mediated ultradian rhythm positively influences root regeneration via EAR1/EUR1 in Arabidopsis

Ultradian rhythms have been proved to be critical for diverse biological processes. However, comprehensive understanding of the short-period rhythms remains limited. Here, we discover that leaf excision triggers a gene expression rhythm with ~3-h periodicity, named as the excision ultradian rhythm (UR), which is regulated by the plant hormone auxin. Promoter–luciferase analyses showed that the spatiotemporal patterns of the excision UR were positively associated with de novo root regeneration (DNRR), a post-embryonic developmental process. Transcriptomic analysis indicated more than 4,000 genes including DNRR-associated genes were reprogramed toward ultradian oscillation. Genetic studies showed that EXCISION ULTRADIAN RHYTHM 1 (EUR1) encoding ENHANCER OF ABSCISIC ACID CO-RECEPTOR1 (EAR1), an abscisic acid signaling regulator, was required to generate the excision ultradian rhythm and enhance root regeneration. The eur1 mutant exhibited the absence of auxin-induced excision UR generation and partial failure during rescuing root regeneration. Our results demonstrate a link between the excision UR and adventitious root formation via EAR1/EUR1, implying an additional regulatory layer in plant regeneration.
Effect of perception of sustainability in local food experiences on healthy eating tendency: mediator and moderator effects

Tourists who favor local food typically care about healthy food choices. Their view of locally produced food as healthy is related to perceptions of sustainability. This relationship can be explained by tourists' personality traits and tendency to eat local food. This study aimed to establish the effect of tourists' perceptions of sustainability in the context of local food experiences on healthy eating tendencies. In addition, we aimed to determine the role of tourists' personality traits and local eating tendencies and elucidate the moderating role of searching online for information on food choices. An online questionnaire (via e-mail and WhatsApp) was used to obtain data from 379 research participants, recruited using a non-probabilistic sampling technique. A research model and hypotheses were formed based on Hayes PROCESS Macro models 90 and 6, and moderator and mediator effects were analyzed using these models. Healthy eating was well-explained by the model, and the perception of social and environmental sustainability in local food experiences (LFE-SES) positively affected food-related personality traits (FRPT), local food eating tendencies (LFET), and healthy eating (HE). While food-related personality traits did not mediate the relationship between the perception of sustainability and healthy eating, local food eating tended to mediate this relationship. In addition, when food-related personality traits and local food eating tendencies were evaluated together, they had a mediating role between the perception of sustainability and healthy eating. Searching online for information had an insignificant moderating effect. These findings help promote an understanding of healthy eating tendencies. Within the context of local food, they suggest critical theoretical and practical implications for the relationship between the perception of sustainability, food-related personality traits, local food eating tendencies, and healthy eating.
A grape seed and bilberry extract reduces blood pressure in individuals at risk of developing type 2 diabetes: the PRECISE study, a double-blind placebo-controlled cross-over intervention study

Background Type 2 Diabetes Mellitus (T2DM) is a major risk factor for the development of cardiometabolic diseases. T2DM prevention is largely based on weight-loss and whole diet changes, but intervention with dietary plant bioactives may also improve metabolic health. Objective To assess whether supplementation with bilberry and grape seed extract for 12 weeks improves cardiometabolic outcomes in individuals at risk of developing T2DM, and to determine whether individual treatment response is associated with differences in gut microbiota composition and levels of phenolic metabolites in blood and feces. Methods In the randomized, double-blind, placebo-controlled, cross-over PRECISE intervention study, 14 participants, aged ≥45 years, with a BMI >28 kg/m2, and having an increased risk of T2DM, received a supplement containing 250 mg of bilberry plus 300 mg of grape seed extract, or 550 mg of a control extract, per day, for 12 weeks each. Blood samples were obtained for the assessment of HbA1c, fasting glucose, oral glucose tolerance tests, insulin, glucagon levels, total, LDL and HDL cholesterol, and phenolic acids. We also assessed advanced glycation end products in the skin, ambulatory 24 hours blood pressure, 7-day dietary intake by weighed food diaries, fecal levels of phenolic metabolites using LC–MS/MS and gut microbiota composition using 16S rRNA gene sequencing analysis. Results The combined bilberry and grape seed extract did not affect glucose and cholesterol outcomes, but it decreased systolic and diastolic ambulatory blood pressure by 4.7 (p < 0.001) and 2.3 (p = 0.0009) mmHg, respectively. Eight out of fourteen participants were identified as blood pressure ‘responders’. These responders had higher levels of phenylpropionic and phenyllactic acids in their fecal samples, and a higher proportional abundance of Fusicatenibacter-related bacteria (p < 0.01) in their baseline stool samples. Conclusion Long-term supplementation with bilberry and grape seed extract can improve systolic and diastolic blood pressure in individuals at risk of T2DM. Individual responsiveness was correlated with the presence of certain fecal bacterial strains, and an ability to metabolize (epi)catechin into smaller phenolic metabolites. Clinical trial registry number: Research Registry (number 4084).
Retinal degeneration in rpgra mutant zebrafish

Introduction: Pathogenic mutations in RPGR ORF15 , one of two major human RPGR isoforms, were responsible for most X-linked retinitis pigmentosa cases. Previous studies have shown that RPGR plays a critical role in ciliary protein transport. However, the precise mechanisms of disease triggered by RPGR ORF15 mutations have yet to be clearly defined. There are two homologous genes in zebrafish, rpgra and rpgrb. Zebrafish rpgra has a single transcript homologous to human RPGR ORF15 ; rpgrb has two major transcripts: rpgrb ex1-17 and rpgrb ORF15 , similar to human RPGR ex1-19 and RPGR ORF15 , respectively. rpgrb knockdown in zebrafish resulted in both abnormal development and increased cell death in the dysplastic retina. However, the impact of knocking down rpgra in zebrafish remains undetermined. Here, we constructed a rpgra mutant zebrafish model to investigate the retina defect and related molecular mechanism. Methods: we utilized transcription activator-like effector nuclease (TALEN) to generate a rpgra mutant zebrafish. Western blot was used to determine protein expression. RT-PCR was used to quantify gene transcription levels. The visual function of embryonic zebrafish was detected by electroretinography. Immunohistochemistry was used to observe the pathological changes in the retina of mutant zebrafish and transmission electron microscope was employed to view subcellular structure of photoreceptor cells. Results: A homozygous rpgra mutant zebrafish with c. 1675_1678delins21 mutation was successfully constructed. Despite the normal morphological development of the retina at 5 days post-fertilization, visual dysfunction was observed in the mutant zebrafish. Further histological and immunofluorescence assays indicated that rpgra mutant zebrafish retina photoreceptors progressively began to degenerate at 3-6 months. Additionally, the mislocalization of cone outer segment proteins (Opn1lw and Gnb3) and the accumulation of vacuole-like structures around the connecting cilium below the OSs were observed in mutant zebrafish. Furthermore, Rab8a, a key regulator of opsin-carrier vesicle trafficking, exhibited decreased expression and evident mislocalization in mutant zebrafish. Discussion: This study generated a novel rpgra mutant zebrafish model, which showed retinal degeneration. our data suggested Rpgra is necessary for the ciliary transport of cone-associated proteins, and further investigation is required to determine its function in rods. The rpgra mutant zebrafish constructed in this study may help us gain a better understanding of the molecular mechanism of retinal degeneration caused by RPGR ORF15 mutation and find some useful treatment in the future.
Unlocking the potential of approved drugs for the allosteric inhibition of tropomyosin-receptor kinase A using molecular docking and molecular dynamics studies

Tropomyosin-receptor kinase A (TrkA) is the primary isoform among the tropomyosin-receptor kinases that have been associated with human cancer development, contributing to approximately 7.4% of all cancer cases. TrkA represents an attractive target for cancer treatment; however, currently available TrkA inhibitors face limitations in terms of resistance development and potential toxicity. Hence, the objective of this study was to identify new allosteric-approved inhibitors of TrkA that can overcome these challenges and be employed in cancer therapy. To achieve this goal, a screening of 9,923 drugs from the ChEMBL database was conducted to assess their repurposing potential using molecular docking. The top 49 drug candidates, exhibiting the highest docking scores (−11.569 to −7.962 kcal/mol), underwent MM-GBSA calculations to evaluate their binding energies. Delanzomib and tibalosin, the top two drugs with docking scores of −10.643 and −10.184 kcal/mol, respectively, along with MM-GBSA dG bind values of −67.96 and −50.54 kcal/mol, were subjected to 200 ns molecular dynamic simulations, confirming their stable interactions with TrkA. Based on these findings, we recommend further experimental evaluation of delanzomib and tibalosin to determine their potential as allosteric inhibitors of TrkA. These drugs have the potential to provide more effective and less toxic therapeutic alternatives. The approach employed in this study, which involves repurposing drugs through molecular docking and molecular dynamics, serves as a valuable tool for identifying novel drug candidates with distinct therapeutic uses. This methodology can contribute to reducing the attrition rate and expediting the process of drug discovery.
Actuarial modelling of extremal events using transformed generalized extreme value distributions and generalized pareto distributions

In 1928, Extreme Value Theory (EVT) originated in work of Fisher and Tippett describing the behavior of maximum of independent and identically distributed random variables. Various applications have been implemented successfully in many fields such as: actuarial science, hydrology, climatology, engineering, and economics and finance. This paper begins with introducing examples that extreme value theory comes to encounter. Then classical results from EVT are reviewed and the current research approaches are introduced. In particular, statistical methods are emphasized in detail for the modeling of extremal events. A case study of hurricane damages over the last century is presented using the “excess over threshold” (EOT) method. In most actual cases, the range of the data collected is finite with an upper bound while the fitted Generalized Extreme Value (GEV) and Generalized Pareto (GPD) distributions have infinite tails. Traditionally this is treated as trivial based on the assumption that the upper bound is so large that no significant result is affected when it is replaced by infinity. However, in certain circumstances, the models can be improved by implementing more specific techniques. Different transforms are introduced to rescale the GEV and GPD distributions so that they have finite supports.
TIA Topologies used in CMOS-MEMS Resonators: A Detailed Review

In the field of wearables implants use of CMOS-MEMS resonators in sensing applications make a revolutionization due to their miniaturizing capabilities. They are used as frequency deciding elements in an oscillator circuit used in radiofrequency range. The sensed signals are amplified using front end TIAs integrated with the structure itself. It also results in durability of the device used due to low power consumption. The on-chip TIA integration along with CMOS-MEMS structure gives a compact circuit and also helps in amplifying the weak signals sensed by the electrodes of the sensors. The use of LDC helps in converting the analog signals into digital ones. Due to microfabrication techniques involved these MEMS structures are used in various applications including healthcare as sensors, in oscillators for timing, in filters for frequency selection etc. This review work gives an insight about various TIA topologies used in CMOS-MEMS resonators. It also includes a comparative analysis of the various research works giving an insight of the future development.
Seven Habits of Highly Eccentric Paragraphs

This paper investigates the unexpected patterns in how the Voynich scribes use “gallows glyphs”. It explores how the position of a word in a paragraph affects the behaviour of these glyphs, and how this varies depending on which gallows character and which scribe is involved. Notable eccentric habits are: excess reliance on gallows glyphs as paragraph initials; high inconsistency with initials elsewhere; preference for the top row of paragraphs; correlation between position in the word and position in the paragraph or line; correlation between the glyph’s neighbours and its position in the paragraph or line; and certain differences between the scribes. It concludes that no single, simple mechanic can be responsible for all these, and that further study should aim to explain them with multiple mechanisms.
Intelligence: From Definition to Design

This paper provides a non-technical description of the ideas behind a model of intelligence that has been formalized and computerized. These ideas are organized into a train of thought consisting of the major design decisions of the model and contrasted with the major approaches in the field of artificial intelligence. The implications of these decisions are also discussed.