Miracle-dz/UniFAR-FTUs huggingface dataset:
Huertos universitarios y necesidades humanas: una aproximación bibliográfica y vivencial desde el huerto agroecológico de la Universidad Veracruzana en México

Los huertos universitarios son espacios de pequeña extensión, que han sido conformados en primera instancia con fines educativos y productivos; sin embargo, estas áreas verdes citadinas ofrecen mucho más que aprendizajes y alimentos. Desde la perspectiva del desarrollo humano, estos espacios cultivados podrían ser un canal para satisfacer de forma simultánea necesidades humanas fundamentales. Por tanto, el objetivo de este estudio es explicar la relación entre los huertos universitarios y la satisfacción de necesidades humanas fundamentales a través de una aproximación bibliográfica y vivencial desde el Huerto Agroecológico de la Facultad de Biología de la Universidad Veracruzana en México. Esta investigación exploratoria se realizó siguiendo la metodología de estudio de caso, la cual distingue cuatro etapas: formulación de la pregunta de reflexión, unidad de análisis, métodos e instrumentos de recolección de la información y análisis de la información. Los resultados mostraron que el huerto universitario puede responder primordialmente a la satisfacción de las necesidades de ocio, entendimiento, participación e identidad, y, en menor medida, a las necesidades de subsistencia, protección, creación, libertad y afecto. Algunos beneficios asociados a la satisfacción de necesidades en estos espacios cultivados están relacionados con la sustentabilidad urbana y el bienestar social, aspectos fundamentales que promueve la agroecología urbana. Las conjeturas aquí descritas pueden representar un punto de partida importante para una discusión más profunda sobre la relación existente entre los huertos y las necesidades humanas. En un siguiente momento será necesario visualizar aquellas herramientas metodológicas que permitan describir los procesos y fenómenos sociales aquí suscitados.
Does Agricultural Commercialisation Increase Asset and Livestock Accumulation on Smallholder Farms in Ethiopia?

Abstract The transition of farmers from subsistence to market-oriented agriculture is meant to reduce hunger, increase wellbeing and accelerate rural economic progress. While an impressive extant literature has analysed agricultural commercialisation effects on welfare from an income, expenditure and consumption perspective, authors place less attention on the implications on asset holdings, which is a more robust long-term measure of welfare. Using chickpea production in Ethiopia as a case, we assess the effects of chickpea commercialisation on household asset ownership and livestock holdings of smallholder farmers. We employ a household fixed-effects estimator to control for time-invariant unobserved heterogeneity and account for possible endogeneity using an instrumental variable approach. For comparison purposes, we also evaluate the income effects of chickpea and examine impact heterogeneity using quantile regressions. Our results indicate a positive impact of agricultural commercialisation on assets, livestock ownership and income. We found commercialisation to benefit all farmers in terms of impact heterogeneity, though with higher gains for asset-rich households. Despite this rising asset inequality, we conclude that increased agricultural commercialisation can contribute to economic development of households and reduce rural poverty.
Q-Band Radial Waveguide Power Divider Based on a Specific Cycloidal-Like Transition Implementation

An axially symmetric radial waveguide power divider, which utilizes a specific Cycloidal-Like tapered transition between a central coaxial launcher and a radial waveguide, is presented in this paper. In order to broad the operation band, the change of impedance of the coaxial to radial waveguide transition is investigated, and an analytic expression for the shape of the transition is obtained. A simple electromagnetic modeling for the stepped radial matching network is developed, and its characteristics are analyzed in detail using the circuit method. Eventually, a stepped-by-stepped design procedure for the power divider is established for the design of the radial waveguide power divider. A twenty-way radial waveguide divider is designed, fabricated, and measured to validate the proposed method. The measurements show that the return loss at the input port is better than 20 dB over almost the full ${Q}$ -band (33 to 48 GHz), while the amplitude/phase imbalance are within ±0.5 dB and ±3°, respectively. The simulated and measured results demonstrate a high degree of agreement.
Legionella pneumonia immediately after recovery from COVID‐19

We experienced a patient with Legionella pneumonia developing immediately after discharge from COVID‐19 recovery. Antibiotic treatment was successful. The source of Legiolella infection was proven to be bathtub water in this case. It is very important to accurately detect pathogens, particularly in the time of pandemics such as COVID‐19.
Probability distribution characteristics of rock mass classification and its mechanical parameters based on fine description

According to the drawbacks that the evaluation results by different rock mass classification systems are not consistent and the rock mass mechanical parameters between indoor tests and current situation have a great gap, a method named rock mass fine description system is recommended to describe surrounding rock mass structures quantitatively. Firstly, these evaluation indexes of the common rock mass classification systems(RMR、Q、RMi、GSI、BQ、HC) are summarized as some groups, and basic indexes are selected from these groups by the in-detail comparative analysis. Then, some sections of powerhouse in Danggangshan hydropower station are chosen as the research objects; we use the method combining the in-situ rock mass fine geological sketches with post-data mining and fitting, and based on the association relationship between the ranking parameters and the basic ones, these probabilistical distribution models and their relevant parameters of evaluation indexes are able to be required; thus the surrounding rock mass elaborate descriptions of the section can be obtained. Based on the rock mass fine description, lots of random numbers that meeting the probabilistical distribution models and relevant parameters of these evaluation indexes can be produced by the Monte Carlo simulation; and then according to the evaluation idea and rating process of each rock mass classification system, plenty of corresponding random rating-values of these evaluation indexes are also gained; the surrounding rock mass evaluation results and these probabilistical distribution characteristics by six rock mass classification systems can be attained easily by the inductive statistics. At last, these probabilistical distribution characteristics and their relevant parameters of these rock mass mechanical parameters can be decided by the correlation formulas between them and the rock mass classification indexes. This research can provide some references to estimate accurately the rock mass classification and mechanical parameters in some similar projects, and offer the essential primary data for supporting limit state design to the surrounding rock mass.
Kinetic Study on Adsorption of Indigo Carmine Dye Effluents Using Activated Carbon Modified With Metal Chlorides

Heavy metal ions present in the groundwater are toxic pollutants which contaminated of water is a world-wide environmental problem. This paper studies that an attempt made to adsorption kinetics of Indigo carmine dye from dye effluents onto activated carbon modified with metal chlorides is keen interest. The results show that activated carbon modified with metal chlorides such as FeCl2, SrCl2, and BaCl2 can be used as effective adsorbents for the removal Indigo carmine dye from dye effluents was observed. The kinetics of indigo carmine dye was adsorbed onto activated carbon modified metal chlorides were analyzed using pseudo-first order and pseudo-second order. Results were found to follow pseudo-second order equation.
Genome-wide characterization of the Rho family in cotton provides insights into fiber development

Background Cotton is the source of natural fibers globally, fulfilling 90% of the textile industry's requirements. However, fiber development is a complex biological process comprising four stages. Fiber develops from a single cell, and cell elongation is a vital process in fiber development. Therefore, it is pertinent to understand and exploit mechanisms underlying cell elongation during fiber development. A previous report about cell division control protein 42 (CDC-42) with its key role in cell elongation in eukaryotes inspired us to explore its homologs Rho GTPases for understanding of cell elongation during cotton fiber development. Result We classified 2 066 Rho proteins from 8 Gossypium species into 5 and 8 groups within A and D sub-genomes, respectively. Asymmetric evolution of Rho members was observed among five tetraploids. Population fixation statistics between two short and long fiber genotypes identified highly diverged regions encompassing 34 Rho genes in G. hirustum, and 31 of them were retained through further validation by genome wide association analysis (GWAS). Moreover, a weighted gene co-expression network characterized genome-wide expression patteren of Rho genes based on previously published transcriptome data. Twenty Rho genes from five modules were identified as hub genes which were potentially related to fiber development. Interaction networks of 5 Rho genes based on transcriptional abundance and gene ontology (GO) enrichment emphasized the involvement of Rho in cell wall biosynthesis, fatty acid elongation, and other biological processes. Conclusion Our study characterized the Rho proteins in cotton, provided insights into the cell elongation of cotton fiber and potential application in cotton fiber improvement.
Privacy in the United States: Some Implications for Design

Privacy is a socially gifted commodity. It comes in many forms, granted to or withheld from us by many types of people. These especially include the professionals who design objects, environments, services, and technological systems. In this paper, I present one way of thinking about privacy and argue for the importance of understanding not only how people conceive of it, but also how they actually achieve it. Comprehending the work of privacy – the ways it is normally achieved – can be of great importance if a designer’s work is to be successful. Privacy is an extremely cultured concept. My conclusions here are based only on insights drawn from the United States, during a 3-year study funded by Intel Corporation. This mixed method study included ethnographic observation of workplaces, homes, and public spaces; archival/historical research (based on academic and popular literature); content analysis of print media, including over 44,000 newspaper articles from 1985-2003; and 74 formal interviews that were 1-1/2 to 17 hours long each, of mostly middle and upper-middle class individuals residing in Chicago, Illinois. 1 These individuals were queried on the ways in which privacy is challenged and enabled in their daily lives. The argument put forth in this paper centers mostly on scholarly sources and the interview-based insights, collected between June 2001 and December 2002.
Advances in therapeutic agents targeting quiescent cancer cells

Quiescent cancer cells (QCCs) reversibly reside in G0 phase, thus allowing them to survive chemotherapy and radiotherapy, which generally target proliferating cells. Surviving QCCs may re-proliferate, and consequently result in cancer progression, recurrence, and metastasis. Therefore, understanding the key players governing QCC survival and activation is crucial for developing QCC-targeting agents. This review presents an overview of (1) the mechanisms underlying the regulation of QCC status and (2) recent advances in the development of QCC-targeting therapeutic agents and their underlying mechanisms. The development of effective therapeutic modalities that target QCCs may enable new cancer treatments to prevent cancer progression and recurrence.
Combining suction and friction to stabilize a soft gripper to shear and normal forces, for manipulation of soft objects in wet environments

Soft robotic gripping in wet environments is generally limited by the presence of a liquid that lubricates the interface between the gripper and an object being manipulated. The use of soft grippers is particularly beneficial for manipulating soft, delicate objects, yet is further limited by low grip strengths. We propose the use of suction, a form of adhesion that functions well in wet environments, to enhance soft robotic grippers. We stabilized the suction against shear disturbances using soft actuated fingers decorated with fluid-channeling patterns to enhance friction, counteracting the interfacial lubrication experienced in wet environments. We therefore combined the uses of attachment via suction and shear stability via friction to create an adhesive soft gripper. We evaluated the contributions to attachment of each component to help stabilize it against dislodgement forces that act in parallel and normal to an object that it aimed to manipulate. By identifying these contributions, we envision that such an adhesive gripper can be used to benefit soft robotic manipulation in a variety of wet environments, from surgical to subsea applications.
Relaciones entre los estilos de crianza actuales, el empleo de las técnicas de orientación del comportamiento y su enseñanza en Odontopediatría. Revisión bibliográfica.

La orientación de comportamiento del paciente infantil es uno de los aspectos más importantes de la práctica odontopediátrica. Fruto de los cambios sociales acontecidos en los últimos 25 años, especialmente en los estilos de crianza, se han desestimado algunas técnicas de orientación conductual clásicas porque los padres las consideran poco apropiadas para sus hijos. Esto ha dado lugar, no sólo a la disminución de su empleo, sino también a cambios en la formación al respecto en los programas universitarios de Odontopediatría tanto de grado como de postgrado. Actualmente se enseñan menos las técnicas consideradas aversivas, reforzando la formación del uso de técnicas comunicativas y farmacológicas para evitar al niño cualquier situación que los padres puedan considerar desagradable e incluso potencialmente traumática. Este estudio realizó una revisión de la literatura sobre las técnicas de orientación de comportamiento más empleadas actualmente por los odontopediatras, las más enseñadas en los programas formativos de Odontología y la influencia de la aceptación paterna en todo ello.
Study on Index Optimization of Human-mechanics Based on Basic Ergonomic Evaluation of Spacesuit Gloves.

Objective To search for scientific and applicable human-mechanical optimum indices for basic ergonomic evaluation of spacesuit gloves.Method Thirteen undergraduates(7 male and 6 female)participated in manual performance evaluation studying with barehand and with the simulated spacesuit glove through strength,fatigue,tactile perception,range of motion(ROM) and dexterity 5 studying indices(28 testing indices),and the 28 testing indices were optimized by using statistics and knowledge of anthroposomatology.Result "Grip force" was selected as the optimum strength test index,"subjective fatigue and performance fatigue" as the optimum fatigue test index,"adduction/abduction,flexion/extension and rotation" as ROM test index,"shape perception" as sense-perception test index,and "pegboard and knot tying" as dexterity index.Conclusion The results can provide reference for performance evaluation of spacesuit glove ergonomics.
Asprosin, a C-Terminal Cleavage Product of Fibrillin 1 Encoded by the FBN1 Gene, in Health and Disease

Background: Asprosin is a novel fasting-induced, glucogenic, and orexigenic protein hormone that is discovered with the help of genetic studies in patients with neonatal progeroid syndrome. Asprosin is encoded by the penultimate 2 exons (65 and 66) of the fibrillin 1 (FBN1) gene. Profibrillin 1 is the unprocessed protein product of FBN1 and undergoes a proteolytic cleavage by furin enzyme to produce mature fibrillin 1 and asprosin. The main organ responsible for the asprosin production seems to be white adipose tissue. Summary: Asprosin promotes hepatic glucose release in the liver and appetite stimulation in the hypothalamus through activation of the cAMP signaling circuitry through interacting with its G protein-coupled receptor, called OR4M1. Increasing mass of evidence suggests that asprosin is involved in the development and progression of various clinical conditions including diabetes, obesity, cardiomyopathy, cancer, and polycystic ovarian syndrome. It regulates various cellular and physiological processes such as appetite stimulation, glucose release, insulin secretion, apoptotic cell death, and inflammatory response. In this review, we discuss the current literature on asprosin and try to shed light on the yet undiscovered functions of asprosin. Key Message: Asprosin is a key regulatory factor for preserving the homeostasis of energy metabolism.
Effects of Community-Based Virtual Reality on Daily Activities and Quality of Life

Abstract Aims To examine the effects of immersive virtual reality (VR) on self-identified daily activities and quality of life (QOL) of older adults with and without cognitive impairments and identify their preferred VR apps. Methods One group, pretest-posttest study of a total of eight 30-minute VR sessions over five weeks at a senior center. Measures included the Canadian Occupational Performance Measure, the World Health Organization QOL-BREF, and a preference questionnaire. Results Improvements in activity performance (p = 0.047) and satisfaction (p = 0.016) for all participants (n = 16; mean age = 69.76, SD = 5.14; 14 females), no differences in QOL, with reported preferences of leisure-oriented apps. Upon subgroup analysis based on cognition, the group with cognitive impairments (n = 7) did not report increases in activity performance (p = 0.497) while the group without cognitive impairment (n = 9) reported performance increases (p = 0.018). Conclusions In a community-based setting, leisure-oriented immersive VR may improve daily activity perceptions for older adults, regardless of mild cognitive impairments. Supplemental data for this article is available online at https://doi.org/10.1080/02703181.2022. 2033903 .
The Network of Online Stolen Data Markets: How Vendor Flows Connect Digital Marketplaces

In the face of market uncertainty, illicit actors on the darkweb mitigate risk by displacing their operations across digital marketplaces. In this study, we reconstruct market networks created by vendor displacement to examine how digital marketplaces are connected on the darkweb and identify the properties that drive vendor flows before and after a law enforcement disruption. Findings show that vendors’ movement across digital marketplaces creates a highly connected ecosystem; nearly all markets are directly or indirectly connected. These network characteristics remain stable following a law enforcement operation; prior vendor flows predict vendor movement before and after the interdiction. The findings inform work on collective patterns in offender decision-making and extend discussions of displacement into digital spaces.
Stop Ignoring Me! On Fighting the Trivialization of Social Robots in Public Spaces

Service and social robot in public scenarios will face various tasks in future applications, such as guiding people or admonishing them to provide assistance or convey social norms. Robots in public spaces might also incorporate roles of authority figures who might admonish people (e.g., security or guard robots). However, recent investigations showed that people ignore the admonishment of robots. Thus, in this work, we are looking at the reasons why people might ignore robots based on the Cognitive Dissonance Theory (CDT). We present the results of two consecutive field observations where a robot admonishes participants (i.e., pedestrians in a shopping mall) and requests them to stop using a smartphone while walking, which is considered an unmoral behavior. In the first field observation, we approached 160 participants over four days and conducted semi-structured interviews with 19 of them. Approximately half of the people ignored the robot, and half of them followed the instructions. Our interview results show that people who ignore the robot indeed use trivialization as a cognitive dissonance reduction strategy to justify ignoring the robot. Based on our analysis of the results, we developed a counter-trivialization strategy that anticipates this dissonance reduction strategy. We admonished 167 participants in our second field observation over four days, and our results show that significantly fewer people ignore the instructions of the robot when the robot uses a counter-trivialization strategy.
Short-Term Power Load Forecasting Based on Extreme Learning Machine

Accuracy of power load forecasting was researched.Power load is related with weather,economy,and holiday factors.The variation rule is cyclical and random,and traditional method cannot describe the variation rule,which leads to low accuracy of prediction.In order to improve the accuracy of power load forecasting,an extreme learning machine(ELM) was proposed for predicting the power load,by integrating similar days selecting method based on the time sequence encoding.The method that selects similar days based on the time sequence encoding integrates the information of the entire sequence into each encoded point,which can not only describe the trend of a sequence but also can describe the relative position of the point in the sequence.Then,the ELM was used for prediction,because it only need to set the number of hidden layer nodes and can generate a unique optimal solution,while the input weights of the network and the bias of the hidden layer nodes do not need to adjust during the execution of the algorithm.The power load data of one building were used for simulating.The proposed method was compared with support vector machines(SVM) and back propagation(BP) neural network,and the experimental results show that the proposed method has high prediction precision,high adaptability and shorter running time.
Self‐regulation in a stochastic model of chemical self‐replication

In this article, we provide an analysis of noise propagation in a stochastic minimal model of chemical self‐replication, where a given species can duplicate itself normally. A feedback from the end product on the source, acting as an inhibitor transcription factor, is considered. Stochasticity involves the intrinsic noise affecting gene expression, which is assumed to happen in bursts. The use of a stochastic approach is a novelty within such a framework. The investigation involves the role of the feedback: how it impacts noise attenuation with respect to different modeling choices of stochastic transcription, and with respect to different strengths of the feedback action. The quantification of noise propagation is measured by means of the so called metabolic noise, that is, the coefficient of variation of the end product. Computations are carried out numerically, according to the stochastic simulation algorithm (SSA) properly adapted for the proposed stochastic hybrid systems, as well as analytically: the latter has been achieved by exploiting the linear approximation of the nonlinear terms involved, since otherwise there are no closed loop solutions for the first‐ and second‐order moments. In such a way, noise propagation may be linked to the model parameters, with the SSA aiming at validating the approximated formulas. Results confirm the noise reduction paradigm with feedback.