Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGNING INJECTABLE POLY(OLIGO ETHYLENE GLYCOL METHACRYLATE)-BASED HYDROGELS FOR DRUG DELIVERY AND TISSUE ENGINEERING APPLICATIONS

The effect of the lower critical solution temperature of hydrazide and aldehyde functionalized poly(oligoethylene glycol methacrylate) (POEGMA) hydrogel precursors on the physiochemical and biological properties of injectable POEGMA hydrogels is evaluated. Three hydrogels were prepared with a volume-phase transition temperature (VPTT) below (= PO0), close to (= PO10) and well above (= PO100) physiological temperature. Significant differences are observed between the swelling, degradation and mechanical properties of these hydrogels despite their comparable theoretical cross-link densities. Hydrogels with VPTTs close to and above physiological temperature exhibit biological properties similar to those typically observed for poly(ethylene glycol) (PEG) hydrogels (i.e. low protein adsorption, low cell adhesion, and minimal inflammatory responses in vivo) while hydrogels with VPTTs lower than physiological temperature exhibit biological properties more analogous to poly(N-isopropylacrylamide) above its phase transition temperature (temperature-switchable cell adhesion, higher protein adsorption, and somewhat more acute inflammation in vivo). As such, the use of POEGMA precursors with varying chain lengths of ethylene oxide grafts offers a versatile platform for the design of hydrogels with tunable physiological properties via simple copolymerization. Emilia Paron – Ph.D Thesis McMaster University Chemical Engineering 67 3.
Comparison on the Nutrient Plunder Capacity of Orychophragmus violaceus and Brassica napus L. Based on Electrophysiological Information

The nutrient metabolism, growth and development of plants are strongly affected by its nutrient plunder, and plants have different adaptive mechanisms to low-nutrient environments. The electrophysiological activities involve almost all life processes of plants. In this study, the active transport flow of nutrient (NAF) and nutrient plunder capacity (NPC) of plants were defined based on leaf intrinsic impedance (IZ), capacitive reactance (IXc), inductive reactance (IXL) and capacitance (IC) to evaluate the nutrient plunder capacity of plants for the first time. The results indicate that Orychophragmus violaceus had higher (p < 0.01) NPC and IC and lower (p < 0.01) IR, IXc, IXL and IZ as compared to Brassica napus L. , which supports a superior ion affinity and that it could be better adapted to low-nutrient environments. UAF and NPC of plants exhibited good correlations with crude protein, crude ash and water content, and precisely revealed the plunder capacity and adaptive strategies of plants to nutrients. The present work highlights that O. violaceus had superior NPC and ion affinity compared with B. napus, and provided a novel, rapid, reliable method based on the plant’s electrophysiological information for real-time determination of the nutrient plunder capacity of plants.
Research progress of Chinese city networks

Chinese city networks have attracted tremendous research attention in recent years (Timberlake et al. 2014). Since the beginning of Chinaâ€™s reforms, cities in China have achieved sustained and rapid growth, with a significant increase in their global influence. Beijing, Shanghai, Guangzhou, Shenzhen and other Chinese cities have become important nodes and hubs in the world city network (WCN). More importantly, they have been gradually reshaping the very structure of the WCN (Derudder et al. 2013, 2018; Taylor et al. 2014b). In addition, China possesses a vast territory with significant regional differences. These conditions not only form complex city networks at the national level, but they also create unique regional city networks in China (Zhao 2011; Zhen et al. 2013; Zhao et al. 2015a). Moreover, the development of cities in China has been strongly influenced by the background settings in China. Therefore, the dynamics of the formation and evolution of Chinese city network structure are unique (Ma and Timberlake 2008; Zhao et al. 2015a; Pan et al. 2017). The perception of cities as network nodes in academia has evolved over time. The external connections of a city are considered its second nature (Taylor 2004), and each city is seen as a relationship phenomenon (Scott 2012). The establishment of multiple intercity connections can be important to the development of a city (Amin and Thrift 2002). Globalization and informatization have greatly changed the spatial organization patterns of cities typically manifested by the increasing spatial differences of cities and the continuous linkages between them (Dicken et al. 2001; Sheppard 2002; Florida 2003). Thus, cities have formed extensive and complex interconnections at different spatial scales. These interconnections have presented a network-based spatial organization structure, namely, the city networks (Camagni and Capello 2004). The city network offers an important perspective for analyzing external connections of cities. As a dimension of social spatial relations, the city network can well analyze the spatial flows of capital, information and other essential elements. In city network research, size is no longer the sole determinant of function, and geographical proximity does not necessarily mean that linkages between cities are closer (Wang 2007; Li 2015).
A Benchmark to Test Generalization Capabilities of Deep Learning Methods to Classify Severe Convective Storms in a Changing Climate

This is a test case study assessing the ability of deep learning methods to generalize to a future climate (end of 21st century) when trained to classify thunderstorms in model output representative of the present‐day climate. A convolutional neural network (CNN) was trained to classify strongly rotating thunderstorms from a current climate created using the Weather Research and Forecasting model at high‐resolution, then evaluated against thunderstorms from a future climate and found to perform with skill and comparatively in both climates. Despite training with labels derived from a threshold value of a severe thunderstorm diagnostic (updraft helicity), which was not used as an input attribute, the CNN learned physical characteristics of organized convection and environments that are not captured by the diagnostic heuristic. Physical features were not prescribed but rather learned from the data, such as the importance of dry air at mid‐levels for intense thunderstorm development when low‐level moisture is present (i.e., convective available potential energy). Explanation techniques also revealed that thunderstorms classified as strongly rotating are associated with learned rotation signatures. Results show that the creation of synthetic data with ground truth is a viable alternative to human‐labeled data and that a CNN is able to generalize a target using learned features that would be difficult to encode due to spatial complexity. Most importantly, results from this study show that deep learning is capable of generalizing to future climate extremes and can exhibit out‐of‐sample robustness with hyperparameter tuning in certain applications.
Informal Hierarchy Strength Changes and Their Effect on Performance

Despite qualitative evidence suggesting that changes in informal hierarchy strength likely impact performance, informal hierarchy strength changes have received little theoretical or empirical attention. We address this by extending structural adaptation theory (SAT) to develop and test a theoretical model of why informal hierarchy strength changes and how those changes impact performance. Building on SAT’s principle that teams can become more ordered following stimulation, we propose that pressure subsequently increases informal hierarchy strength. In project teams where pressure starts low and increases at the midpoint, informal hierarchy should weaken early in project life and strengthen after the midpoint. We also extend SAT’s asymmetric adaptability principle to consider not just the direction but also the rate of the changes. We hypothesize that sharply strengthening informal hierarchy harms performance, but informal hierarchy strengthening gradually improves performance. SAT also implies that gradual change is promoted by inclusive discussions. Because most influential extraverts tend to squelch inclusive discussions where most influential neurotics tend to be inclusive, teams with most influential extraverts strengthen their informal hierarchy quickly where teams with most influential neurotics strengthen their informal hierarchy gradually. We find support for our theoretical model using longitudinal data and client performance ratings on self-managed project teams. Our results contribute to SAT by showing its application to informal, unplanned changes and introducing the rate of change to its asymmetric adaptability principle. Our findings also highlight the importance of shifting informal hierarchy strength research away from the predominant static approach and toward studying informal hierarchy strength changes.
NANOSTRUCTURED NI0.9CO2.1O4 SPINEL OXIDE: ELECTROCHEMICAL, SPECTROSCOPIC AND MORPHOLOGICAL INVESTIGATION.

Mamadou Guèye 1 , Papa Charles Harris Mandiamy 1 , * Makhtar Guène 1 and Abdou Aziz Diagne 2 . 1. Laboratoire de Chimie Physique Organique et d’Analyse Environnementale, Département de Chimie, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, Dakar, Sénégal. 2. Département de chimie, UFR SATIC, Université Alioune Diop, Bambey, Sénégal. Manuscript Info Abstract . Manuscript History
Constructing police legitimacy during protests: frames and consequences for human rights

ABSTRACT Police legitimacy is a constructed concept. Theorists argue that legitimacy is achieved through police practices that conform to the law and societal expectations, and respect human rights. The challenge is that the distinction between acceptable and unacceptable police force requires interpretation. This article uses a qualitative frame analysis of leading Chilean newspapers to reveal how police and their supporters justified police actions in response to the massive social protests in Chile from October to December 2019. We argue that the dominant frames speakers used to explain police actions during the social uprising justified police violence as a legitimate response to a criminal threat and as consistent with police protocols and the law. While reasserting police legitimacy, the frames delegitimise claims of human rights abuses (often explicitly) and shift the dominant public conversation away from discussions of broader public security and public order reforms that could better reduce police violence. Such frames reveal the tensions between police legitimacy and human rights protections, and the power of state and civil society voices elevated in the media to challenge the latter.
Does Size Matter? Animal, Living and Non-Living Classification, Implications for Teaching

An empirical investigation of elementary school teacher candidates on classification activities dealing with animate and inanimate objects in terms of being living or non-living demonstrates that as the size of the objects increases, subjects are more likely to classify them correctly as either being an animal or having living characteristics. Despite a variety of misconceptions having an impact on the results, size magnitude is shown to play a significant role on proper classification. The subjects’ performance on these activities at an advanced stage of their preparation suggests that their factual and procedural knowledge are deficient due to a lack of opportunities for conceptual development of the items tested. The identification of the role of size on the proper classification of objects in the activities bears significantly on the science curricular structure at the elementary school level. As the results of this study indicate, both pre-service elementary school teachers and by extension their prospective students need longer practice dealing with living and non-living classification activities, particularly in tasks where the microscopic features of matter can be investigated so that the proclivity to regard size as the defining characteristic is effectively addressed.
Gender Differences are Noted in Factors Associated with Insomnia in Older Adult Outpatients: A Cross-Sectional Study

Background: Insomnia is a common sleep disturbance in older adults and is associated with many poor health outcomes. This study aimed to investigate the relevance of insomnia in older adult outpatients and to analyze differences between genders in factors associated with insomnia.Methods: This cross-sectional study was conducted in the outpatient clinics of a tertiary hospital in Southern Taiwan from July to September 2018. A total of 400 consecutive subjects aged 60 years or older were recruited. Insomnia was defined as a score of > 6 points on the Athens Insomnia Scale (AIS). Socio-demographics, health behaviors and clinical data were collected by face-to-face interview. Multivariable logistic regression was adopted for statistical analysis of the entire sample and stratified by gender.Results: Participants’ mean age was 74.74 ± 8.54 years, and the majority (93%) had more than one chronic disease. The prevalence of insomnia accounted for 30% (120/400) of all subjects, with males 22.9% (46/201) and females 37.2% (74/199). Gender, appetite, exercise, depressive symptoms, and sleep-related conditions such as short sleep duration, sleeping pills usage, medium-high risk of obstructive sleep apnea(OSA) and restless leg syndrome(RLS) were factors associated with insomnia in older adults. Exercise, sleeping pills usage, and RLS had an independent association with insomnia only in men, while appetite was associated with insomnia in women only.Conclusions: Insomnia is highly prevalent among older adults, predominantly females. Significant differences are found between genders in factors associated with insomnia. Understanding gender differences may help clinicians to modify associated factors when managing older adults with insomnia.
A Pilot Study Investigating the Use of Mobile Technology for Coordinating Educational Plans in Inclusive Settings

Good coordination among school staff and families leads to increased learning quality and academic success for students with special education needs and disabilities (SEND). This pilot study aims to investigate the use of mobile technology for the coordination of therapy and learning for students with SEND. This study first follows a participatory design methodology to identify the key design principles required to inform the design of a coordination mobile app for special education. Then, a mobile app (IEP-Connect) is designed and implemented with the aim of facilitating information sharing between different parties involved in the intervention of students with SEND. The proposed app uses the Individualized Educational Plan (IEP) as the focal point of coordination. The evaluation of the app focused on students with autism spectrum disorder (ASD) as their learning requires sharing information from different distributed sources. Results from the usability study revealed that the app has “good” usability and that participants were satisfied with the use of the app for recording and sharing IEP information. The results of this study provide an understanding of the ways in which a coordination app for special education could be made easy and rewarding to use.
Boundary management and recovery when working from home: The moderating roles of segmentation preference and availability demands

Blurred work–home boundaries can hamper teleworkers’ recovery from job demands. In this study, we investigate teleworkers’ temporal, physical, communicative, and technological boundary tactics as predictors of recovery experiences (i.e. psychological detachment and control during leisure time) and recovery outcomes (i.e. exhaustion). We hypothesized that individuals’ work–home segmentation preference as a personal factor and availability demands as a situational factor should moderate the relations between boundary tactics and recovery. Using a web-based survey, we collected data from 274 individuals who mainly worked from home in a lockdown period during the COVID-19 pandemic. Results of hierarchical regression analyses revealed that the use of temporal boundary tactics was positively associated with psychological detachment, control, and lower exhaustion. The use of technological boundary tactics was related to higher psychological detachment. Our moderator hypotheses were partly confirmed: Segmentation preference and availability demands strengthened the relationships between several boundary tactics and psychological detachment, control, and exhaustion. In sum, our study contributes to a better understanding of teleworkers’ recovery processes and provides actionable knowledge for teleworkers on how to enable and sustain their recovery.
Blue Light Monochromatic Irradiation for 12 Hours in Lighting Pattern with Combinations of Blue and Red Light Elongates Young Cos Lettuce Leaves and Promotes Growth under High Daily Light Integral

Cos lettuce was grown under different spectral photon flux density distribution (SPFD) change patterns with blue- and/or red light-emitting diode (LED) irradiation with a 24-hour cycle. Twelve treatments were designed with a combination of four relative SPFD (RSPFD) change patterns and three photosynthetic photon flux density (PPFD) levels. The RSPFD change patterns were as follows: BR/BR, simultaneous blue- and red-light irradiation (BR) for 24 h; R/BR, red-light monochromatic irradiation (R) for 12 h followed by 12 hours of BR; B/BR, blue-light monochromatic irradiation (B) for 12 hours followed by 12 hours of BR; and B/R, 12 hours of B followed by 12 hours of R. Each RSPFD change pattern was conducted at three daily average photosynthetic photon flux densities (PPFDave) of 50, 100, and 200 µmol·m−2·s−1. The RSPFD change patterns that included B (B/BR and B/R) resulted in elongated leaves. A low ratio of active phytochrome to total phytochrome under B was considered the reason for leaf elongation. Shoot dry weight was significantly greater under the RSPFD change patterns that included B when the PPFDave was 200 µmol·m−2·s−1. The leaf elongation caused by B would have increased the amount of light received and thereby promoted growth. However, excessive leaf elongation caused the plants to fall, and growth was not promoted under the RSPFD change patterns that included B when the PPFDave was 50 µmol·m−2·s−1. Thus, 12-hour B promoted growth under conditions in which leaf elongation leads to increases in the amount of light received.
News, Misinformation and Support for the EU: Exploring the Effect of Social Media as Polarising Force or Neutral Mediators

As social media platforms have become a staple news source for many EU citizens, we model repurposed Eurobarometer data from 27 EU member states to explore the possible polarising effects of social media use on public opinion about European integration. In a first step, we investigate whether social media use is correlated with decreased trust in the EU. In a second step, we probe the link between social media news consumption, fake news and polarisation by expanding the cross-sectional analysis with EU level analyses of the interaction between social media use and fake news. Our research paper finds no significant correlation between social media use and increased Euroscepticism at either step. We argue that this lack of significant social media effects at the aggregate level is an argument for why future research on social media effects should incorporate measures of these effects at both the individual and societal level. Thus, while our study focuses on a European context, it holds important lessons for future social media research outside of Europe too.
Miombo conversion to monoculture tree plantations: Changes in soil properties

Monoculture plantations replacing native woodlands are increasingly common globally. In Mozambique, vast miombo* woodlands have been replaced by single‐species plantations. Studies on the effect of replacing native woodlands by single‐species tree plantations on soil properties are abundant; however, those focused specifically on the replacement of miombo and considering a longer time since replacement and covering different growth stages are scarce. This article aimed at assessing the effects of the conversion of miombo to monoculture on soil properties and studying the effect of species planted, plantation age, and rotation on soil capacity to store carbon (C) and nitrogen (N). Plantations established in soils formerly covered by miombo were compared to the remaining original miombo with regard to soil properties. The effect of species planted, plantation age, and rotation on soil properties was examined using the three‐way ANOVA, followed by Tukey's test. Miombo conversion to plantations led to an increase of up to 66% of soil organic C (SOC) and 77% of total N (STN) and a decrease in soil bulk density (BD) of up to 16%. The replacement of the first‐ by second‐rotation plantations led to a decrease of up to 38% in SOC and STN and an increase of up to 32% in BD. BD decreased with plantation age; SOC and STN stocks tended to increase: 60 years after the replacement of miombo by plantations, SOC and STN increased by up to 88%. Changes in soil properties due to the replacement of miombo by monoculture were mainly driven by the species planted.
Ground Observation of Negative Sprites Over a Tropical Thunderstorm as the Embryo of Hurricane Harvey (2017)

We report on the observation of six red sprites produced by negative cloud‐to‐ground (CG) lightning strokes in a tropical thunderstorm that later evolved into Hurricane Harvey (2017). Most of these sprites conformed to the morphological characteristics of typical negative sprites previously observed over continental thunderstorms. The sprite‐producing CG strokes were located in or near the deep convection region and their impulse charge moment changes all exceeded −500 C‐km. During the sprite generation stage, the CG lightning stroke rate declined and the tropical thunderstorm structure appeared stable. Our analysis suggests that tropical marine meteorological systems, such as tropical disturbances, depressions, and thunderstorms are more likely to be main production systems of negative sprites. The frequent occurrence of 18 gigantic jets produced by the same thunderstorm further indicates that the thundercloud charge structures of sprite‐producing oceanic thunderstorms are significantly different from that of continental thunderstorms.