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رحلة إلى الغابة
ذات الرداء الأحمر، التي تشعر دائما بالفضول تجاه العالم، تريد زيارة جدتها عبر الغابة بمفردها. لكنها لا تستطيع رؤية طريقها، ما هي الصعوبات التي ستواجهها ؟ كيف يمكنها مواجهة الذئب الكبير بمفردها في الغابة ؟ في طريقها، تلتقي بأرنب وقنفذ وظربان. تتعلم استخدام مشاعرها لإدراك العالم، وشجاعتها وحكمتها لإنقاذ نفسها من المخاطر. والمثير للدهشة أن الذئب الكبير في عينيها لطيف جدا، لم يأكل الذئب السيئ الكبير ذات الرداء الأحمر هذه المرة فحسب، بل ساعد أيضا ذو الرداء الأحمر الصغير في الوصول إلى منزل جدته.
Book
A systematic review of empirical studies of pro-environmental behavior in hospitality and tourism contexts
Purpose
The purpose of this study was to gain a holistic view of pro-environmental behavior (PEB) among hospitality and tourism consumers through a systematic review of empirical studies. Based on this comprehensive review, this study demonstrates how the literature has been created and has evolved over time, thereby providing proposals for future research agendas.
Design/methodology/approach
The preferred reporting items for systematic reviews and meta-analyses method was used as a rigorous searching method to provide an updated picture of the research on the PEBs of consumers in hospitality and tourism contexts. A total of 234 empirical studies from both hospitality and nonhospitality publications were selected for the review.
Findings
The results reveal a growing interest in PEB in the hospitality and tourism context. Focal points, theories and research designs used to explain PEB among hospitality and tourism consumers were identified. In addition, the findings from the cross-tabulation analyses have provided valuable insights for tourism and hospitality research in this area.
Research limitations/implications
Based on the research findings, this study makes significant contributions to the literature by providing theoretical and practical implications with detailed directions for future researchers and practitioners.
Originality/value
This study offers one of the first reviews to comprehensively and systematically analyze the empirical research into PEBs among hospitality and tourism consumers. PEB has received significant attention from researchers, practitioners and those policymakers concerned with the sustainability of environments. The findings of this research provide a comprehensive overview of the literature relating to hospitality and tourism through the identification of gaps that require further investigation. Future suggestions to assist practitioners and policymakers in eliciting PEBs are also discussed.
Journal Article
Network analysis of smartphone addiction and sleep disorder symptoms in Chinese college students
This study aims to examine the comorbid relationship between smartphone addiction and sleep disorders in Chinese college students. By constructing a comorbidity network, identifying core and bridge symptoms, and exploring potential directional associations among symptoms, this research intends to establish a theoretical foundation for targeted intervention strategies.
A total of 1842 Chinese college students were recruited through convenience sampling. The smartphone addiction and sleep disorder symptoms were assessed using the Smartphone Addiction Scale-Short Version (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI), respectively. The data analysis was conducted in three steps. First, an undirected comorbidity network was constructed using the Gaussian Graphical Model (GGM) to identify core and bridge symptoms. Second, a Bayesian network approach was employed to generate Directed Acyclic Graphs (DAGs) that explored potential directional associations among symptoms. Finally, network comparison tests and community detection analyses were performed to examine gender differences in the comorbidity network structure.
The GGM comorbidity network exhibited a connection density of 0.80 and a global strength of 9.39. Within this network, PSQI2 (sleep latency), SA2 (difficulty concentrating), and SA5 (impatience without phone) were identified as core symptoms. PSQI2 (sleep latency), PSQI1 (subjective sleep quality), and SA9 (longer use than intended) were identified as bridge symptoms. Further analysis using the DAGs suggested statistical directionality from sleep disorder symptoms toward smartphone addiction symptoms. Notably, SA5 (impatience without phone) served as an initial node in the DAGs. Finally, network comparison tests indicated no significant differences in the GGM network structure between genders; however, distinct gender differences were observed in the community clustering patterns of symptoms.
In college students, smartphone addiction and sleep disorder symptoms interact to form a structurally stable comorbidity network. Consequently, interventions targeting core symptoms, bridge symptoms, and initial node could effectively interrupt the maintenance of this comorbidity.
Journal Article
Plants send small RNAs in extracellular vesicles to fungal pathogen to silence virulence genes
Plants can use small RNAs (sRNAs) to interfere with virulence factor gene expression in pathogens. Cai et al. show that the small mustard plant Arabidopsis shuttles defensive sRNAs into the necrotrophic fungus Botrytis cinerea via extracellular vesicles (see the Perspective by Thomma and Cook). The vesicles are associated with tetraspanin proteins, which can interact and form membrane microdomains. Several dozen different sRNAs targeting the pathogenic process were transported from Arabidopsis to B. cinerea in a selective manner. Science , this issue p. 1126 ; see also p. 1070 Exosomal vesicles shuttle defensive small RNAs from the host plant to a pathogenic fungus. Some pathogens and pests deliver small RNAs (sRNAs) into host cells to suppress host immunity. Conversely, hosts also transfer sRNAs into pathogens and pests to inhibit their virulence. Although sRNA trafficking has been observed in a wide variety of interactions, how sRNAs are transferred, especially from hosts to pathogens and pests, is still unknown. Here, we show that host Arabidopsis cells secrete exosome-like extracellular vesicles to deliver sRNAs into fungal pathogen Botrytis cinerea . These sRNA-containing vesicles accumulate at the infection sites and are taken up by the fungal cells. Transferred host sRNAs induce silencing of fungal genes critical for pathogenicity. Thus, Arabidopsis has adapted exosome-mediated cross-kingdom RNA interference as part of its immune responses during the evolutionary arms race with the pathogen.
Journal Article
A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems
The challenges of developing neuromorphic vision systems inspired by the human eye come not only from how to recreate the flexibility, sophistication, and adaptability of animal systems, but also how to do so with computational efficiency and elegance. Similar to biological systems, these neuromorphic circuits integrate functions of image sensing, memory and processing into the device, and process continuous analog brightness signal in real-time. High-integration, flexibility and ultra-sensitivity are essential for practical artificial vision systems that attempt to emulate biological processing. Here, we present a flexible optoelectronic sensor array of 1024 pixels using a combination of carbon nanotubes and perovskite quantum dots as active materials for an efficient neuromorphic vision system. The device has an extraordinary sensitivity to light with a responsivity of 5.1 × 10
7
A/W and a specific detectivity of 2 × 10
16
Jones, and demonstrates neuromorphic reinforcement learning by training the sensor array with a weak light pulse of 1 μW/cm
2
.
To emulate nature biological processing, highly-integrated ultra-sensitive artificial neuromorphic system is highly desirable. Here, the authors report flexible sensor array of 1024 pixels using combination of carbon nanotubes and perovskite QDs as active matetials, achieving highly responsive device for reinforcement learning.
Journal Article
A multi-fidelity surrogate model based on extreme support vector regression: fusing different fidelity data for engineering design
PurposeExtreme support vector regression (ESVR) has been widely used in the design, analysis and optimization of engineering systems of its fast training speed and good computational ability. However, the ESVR model is only able to utilize one-fidelity information of engineering system. To solve this issue, this paper extends extreme support vector regression (ESVR) to a multi-fidelity surrogate (MFS) model which can make use of a few expensive but higher-fidelity (HF) samples and a lot of inaccurate but cheap low-fidelity (LF) samples, named ESVR-MFS.Design/methodology/approachIn the ESVR-MFS model, a kernel matrix is designed to evaluate the relationship between the HF and LF samples. The root mean square error of HF samples is used as the training error metric, and the optimal hyper-parameters of the kernel matrix are obtained through a heuristic algorithm.FindingsA number of numerical problems and three engineering problems are used to compare the ESVR-MFS model with the single-fidelity ESVR model and two benchmark MFS models. The results show that the ESVR-MFS model exhibits competitive performance in both numerical cases and practical cases tested in this work.Practical implicationsThe proposed approach exhibits great capability for practical multi-fidelity engineering design problems.Originality/valueA MFS model is proposed based on ESVR, which can make full use of the advantages of both HF data and LF data to achieve optimal results at same or lower cost.
Journal Article
Fungal Small RNAs Suppress Plant Immunity by Hijacking Host RNA Interference Pathways
Botrytis cinerea, the causative agent of gray mold disease, is an aggressive fungal pathogen that infects more than 200 plant species. Here, we show that some B. cinerea small RNAs (Bc-sRNAs) can silence Arabidopsis and tomato genes involved in immunity. These Bc-sRNAs hijack the host RNA interference (RNAi) machinery by binding to Arabidopsis Argonaute 1 (AGO1) and selectively silencing host immunity genes. The Arabidopsis ago1 mutant exhibits reduced susceptibility to B. cinerea, and the B. cinerea dcl1 dcl2 double mutant that can no longer produce these Bc-sRNAs displays reduced pathogenicity on Arabidopsis and tomato. Thus, this fungal pathogen transfers \"virulent\" sRNA effectors into host plant cells to suppress host immunity and achieve infection, which demonstrates a naturally occurring cross-kingdom RNAi as an advanced virulence mechanism.
Journal Article
Electrochemical Applications of Ferrocene‐Based Coordination Polymers
Ferrocene and its derivatives, especially ferrocene‐based coordination polymers (Fc‐CPs), offer the benefits of high thermal stability, two stable redox states, fast electron transfer, and excellent charge/discharge efficiency, thus holding great promise for electrochemical applications. Herein, we describe the synthesis and electrochemical applications of Fc‐CPs and reveal how the incorporation of ferrocene units into coordination polymers containing other metals results in unprecedented properties. Moreover, we discuss the usage of Fc‐CPs in supercapacitors, batteries, and sensors as well as further applications of these polymers, for example in electrocatalysts, water purification systems, adsorption/storage systems. Iron strength: The incorporation of ferrocene as an organometallic building block into coordination polymers containing other metals to impart certain properties can afford attractive structures denoted as ferrocene‐based coordination polymers. This Review focuses on the synthesis and electrochemical applications (e. g., supercapacitors, batteries, electrosensors, and electrocatalysts) of these coordination polymers.
Journal Article
A FinFET with one atomic layer channel
Since its invention in the 1960s, one of the most significant evolutions of metal-oxide-semiconductor field effect transistors (MOS-FETs) would be the three dimensionalized version that makes the semiconducting channel vertically wrapped by conformal gate electrodes, also recognized as FinFET. During the past decades, the width of fin (
W
fin
) in FinFETs has shrunk from about 150 nm to a few nanometers. However,
W
fin
seems to have been levelling off in recent years, owing to the limitation of lithography precision. Here, we show that by adapting a template-growth method, different types of mono-layered two-dimensional crystals are isolated in a vertical manner. Based on this, FinFETs with one atomic layer fin are obtained, with on/off ratios reaching
~
1
0
7
. Our findings push the FinFET to the sub 1 nm fin-width limit, and may shed light on the next generation nanoelectronics for higher integration and lower power consumption.
FinFETs are an evolution of metal-oxide-semiconductor field effect transistors (MOSFETs) featuring a semiconducting channel vertically wrapped by conformal gate electrodes. Here, the authors use a two-dimensional semiconductor to push the FinFET width to sub-nm whilst achieving a 107 ON/OFF ratio.
Journal Article