bluuebunny/crossref_metadata_2025 huggingface dataset:
How Do Taxonomic and Functional Diversity Metrics Change Along an Aridity Gradient in a Tropical Dry Forest?
Authors: Oliveira Ana Cláudia Pereira de , Nunes Alice , Oliveira Maria Alexandra , Rodrigues Renato Garcia , Branquinho Cristina
Published: July 2022

Ecological indicators based on biodiversity metrics are valuable and cost-effective tools to quantify, track and understand the effects of climate change on ecosystems. Studying changes in these indicators along climatic gradients in space is a common approach to infer about potential impacts of climate change over time, overcoming the limitations of lack of sufficiently long time-series data. Here, we studied the response of complementary biodiversity metrics in plants: taxonomic diversity (species richness and Simpson index) and functional diversity (diversity and redundancy) in 113 sampling sites along a spatial aridity gradient (from 0.27 to 0.69 of aridity index-AI) of 700 km in a Tropical dry forest. We found different responses of taxonomic and functional diversity metrics to aridity. Species diversity showed a hump-shaped curve peaking at intermediate levels of aridity between 0.38 and 0.52 AI as an ecotone, probably because it is where most species, from both drier and more mesic environments, still find conditions to co-exist. Functional diversity showed a positive linear relation with increasing aridity, suggesting higher aridity favors drought-adapted species with diverse functional traits. In contrast, redundancy showed a negative linear relation with increasing aridity, indicating that drier sites have few species sharing the same functional traits and resource acquisition strategies. Thus, despite the increase in functional diversity toward drier sites, these communities are less resilient since they are composed of a small number of plant species with unique functions, increasing the chances that the loss of one of such “key species” could lead to the loss of key ecosystem functions. These findings show that the integration of complementary taxonomic and functional diversity metrics, beyond the individual response of each one, is essential for reliably tracking the impacts of climate change on ecosystems. This work also provides support to the use of these biodiversity metrics as ecological indicators of the potential impact of climate change on drylands over time.
Micropropagation of Opuntia and Other Cacti Species Through Axillary Shoot Proliferation: A Comprehensive Review
Authors: Bouzroud Sarah , El Maaiden Ezzouhra , Sobeh Mansour , Devkota Krishna Prasad , Boukcim Hassan , Kouisni Lamfeddal , El Kharrassi Youssef
Published: July 2022

Cacti are one of the most significant and diversified groups of angiosperms, distributed and cultivated globally, mostly in semi-arid, arid, and the Mediterranean climate regions. Conventionally, they are propagated by seeds or through vegetative propagationviarooted offshoots or grafting. However, these multiplication procedures remain insufficient for mass propagation.In vitroculture techniques are utilized to mass propagate endangered and commercial cacti species. These include somatic embryogenesis and plant regeneration through indirect or direct organogenesis. The latter is a promising tool for commercial clonal propagation of high-value species and has been successfully implemented for several species, such asMammillaria, Hylocereus, Cereus, Echinocereus, andAriocarpus. However, its success depends on explant type, basal nutrient formulation of culture medium, and types and concentrations of plant growth regulators. This study aimed to assess the potential ofin vitropropagation methods applied to cacti species and discuss the different factors affecting the success of these methods. This study has also highlighted the insufficient work onOpuntiaspecies for mass propagation through axillary buds' proliferation. The development of an efficient micropropagation protocol is thus needed to meet the supply of increasing demand ofOpuntiaspecies for human consumption as fruit, animal feed, and ecological restoration in semi-arid and arid zones.
Mimicking the Oxygen-Evolving Center in Photosynthesis
Authors: Chen Yang , Xu Boran , Yao Ruoqing , Chen Changhui , Zhang Chunxi
Published: July 2022

The oxygen-evolving center (OEC) in photosystem II (PSII) of oxygenic photosynthetic organisms is a unique heterometallic-oxide Mn4CaO5-cluster that catalyzes water splitting into electrons, protons, and molecular oxygen through a five-state cycle (Sn,n = 0 ~ 4). It serves as the blueprint for the developing of the man-made water-splitting catalysts to generate solar fuel in artificial photosynthesis. Understanding the structure–function relationship of this natural catalyst is a great challenge and a long-standing issue, which is severely restricted by the lack of a precise chemical model for this heterometallic-oxide cluster. However, it is a great challenge for chemists to precisely mimic the OEC in a laboratory. Recently, significant advances have been achieved and a series of artificial Mn4XO4-clusters (X = Ca/Y/Gd) have been reported, which closely mimic both the geometric structure and the electronic structure, as well as the redox property of the OEC. These new advances provide a structurally well-defined molecular platform to study the structure–function relationship of the OEC and shed new light on the design of efficient catalysts for the water-splitting reaction in artificial photosynthesis.
Detecting Pests From Light-Trapping Images Based on Improved YOLOv3 Model and Instance Augmentation
Authors: Lv Jiawei , Li Wenyong , Fan Mingyuan , Zheng Tengfei , Yang Zhankui , Chen Yaocong , He Guohuang , Yang Xinting , Liu Shuangyin , Sun Chuanheng
Published: July 2022

Light traps have been widely used as effective tools to monitor multiple agricultural and forest insect pests simultaneously. However, the current detection methods of pests from light trapping images have several limitations, such as exhibiting extremely imbalanced class distribution, occlusion among multiple pest targets, and inter-species similarity. To address the problems, this study proposes an improved YOLOv3 model in combination with image enhancement to better detect crop pests in real agricultural environments. First, a dataset containing nine common maize pests is constructed after an image augmentation based on image cropping. Then, a linear transformation method is proposed to optimize the anchors generated by the k-means clustering algorithm, which can improve the matching accuracy between anchors and ground truths. In addition, two residual units are added to the second residual block of the original YOLOv3 network to obtain more information about the location of the underlying small targets, and one ResNet unit is used in the feature pyramid network structure to replace two DBL(Conv+BN+LeakyReLU) structures to enhance the reuse of pest features. Experiment results show that the mAP and mRecall of our proposed method are improved by 6.3% and 4.61%, respectively, compared with the original YOLOv3. The proposed method outperforms other state-of-the-art methods (SSD, Faster-rcnn, and YOLOv4), indicating that the proposed method achieves the best detection performance, which can provide an effective model for the realization of intelligent monitoring of maize pests.
Combining Metabolic Analysis With Biological Endpoints Provides a View Into the Drought Resistance Mechanism of Carex breviculmis
Authors: Mi Zhaorong , Ma Yingying , Liu Pinlin , Zhang Haoyi , Zhang Lu , Jia Wenqing , Zhu Xiaopei , Wang Yanli , Zhang Chan , Du Lin , Li Xilin , Chen Haitao , Han Tao , Liu Huichao
Published: July 2022

Metabolomics is an effective tool to test the response of plants to environmental stress; however, the relationships between metabolites and biological endpoints remained obscure in response to drought stress. Carex breviculmis is widely used in forage production, turf management, and landscape application and it is particularly resistant to drought stress. We investigated the metabolomic responses of C. breviculmis to drought stress by imposing a 22-day natural soil water loss. The results showed that water-deficit restrained plant growth, reducing plant height, leaf fresh weight, and total weight, however, increasing soluble protein content and malondialdehyde content. In total, 129 differential metabolites in the leaves were detected between drought and control using the Ultrahigh Performance Liquid Chromatography-Mass Spectrometer (UPLC-MS) method. Drought enhanced most of the primary and secondary metabolites in the differential metabolites. Almost all the sugars, amino acids, organic acids, phytohormones, nucleotides, phenylpropanoids and polyketides in the differential metabolites were negatively correlated with plant height and leaf fresh weight, while they were positively correlated with soluble protein content and malondialdehyde content. Metabolic pathway analysis showed that drought stress significantly affected aminoacyl-tRNA biosynthesis, TCA cycling, starch and sucrose metabolism. Our study is the first statement on metabolomic responses to drought stress in the drought-enduring plant C. breviculmis. According to the result, the coordination between diverse metabolic pathways in C. breviculmis enables the plant to adapt to a drought environment. This study will provide a systematic framework for explaining the metabolic plasticity and drought tolerance mechanisms of C. breviculmis under drought stress.
A Predominant Role of AtEDEM1 in Catalyzing a Rate-Limiting Demannosylation Step of an Arabidopsis Endoplasmic Reticulum-Associated Degradation Process
Authors: Zhang Jianjun , Xia Yang , Wang Dinghe , Du Yamin , Chen Yongwu , Zhang Congcong , Mao Juan , Wang Muyang , She Yi-Min , Peng Xinxiang , Liu Li , Voglmeir Josef , He Zuhua , Liu Linchuan , Li Jianming
Published: July 2022

Endoplasmic reticulum-associated degradation (ERAD) is a key cellular process for degrading misfolded proteins. It was well known that an asparagine (N)-linked glycan containing a free α1,6-mannose residue is a critical ERAD signal created by Homologous to α-mannosidase 1 (Htm1) in yeast and ER-Degradation Enhancing α-Mannosidase-like proteins (EDEMs) in mammals. An earlier study suggested that two Arabidopsis homologs of Htm1/EDEMs function redundantly in generating such a conserved N-glycan signal. Here we report that the Arabidopsis irb1 (reversal of bri1) mutants accumulate brassinosteroid-insensitive 1–5 (bri1–5), an ER-retained mutant variant of the brassinosteroid receptor BRI1 and are defective in one of the Arabidopsis Htm1/EDEM homologs, AtEDEM1. We show that the wild-type AtEDEM1, but not its catalytically inactive mutant, rescues irb1-1. Importantly, an insertional mutation of the Arabidopsis Asparagine-Linked Glycosylation 3 (ALG3), which causes N-linked glycosylation with truncated glycans carrying a different free α1,6-mannose residue, completely nullifies the inhibitory effect of irb1-1 on bri1-5 ERAD. Interestingly, an insertional mutation in AtEDEM2, the other Htm1/EDEM homolog, has no detectable effect on bri1-5 ERAD; however, it enhances the inhibitory effect of irb1-1 on bri1-5 degradation. Moreover, AtEDEM2 transgenes rescued the irb1-1 mutation with lower efficacy than AtEDEM1. Simultaneous elimination of AtEDEM1 and AtEDEM2 completely blocks generation of α1,6-mannose-exposed N-glycans on bri1-5, while overexpression of either AtEDEM1 or AtEDEM2 stimulates bri1-5 ERAD and enhances the bri1-5 dwarfism. We concluded that, despite its functional redundancy with AtEDEM2, AtEDEM1 plays a predominant role in promoting bri1-5 degradation.
Invasive Plants and Species Richness Impact Litter Decomposition in Riparian Zones
Authors: Hu Xin , Arif Muhammad , Ding Dongdong , Li Jiajia , He Xinrui , Li Changxiao
Published: July 2022

Natural ecosystems generally include litter decomposition as part of the natural cycle since the material properties and the environment greatly influence the decomposition rate. The invasion of exotic plants alters the species diversity and growth characteristics of plant communities, but its impact on litter decomposition is unknown in the riparian zone. This study examines how invasive plants affect the early stages of litter decomposition and how species richness impacts them. This experiment involved a random litter mixture of exotic (Alternanthera philoxeroides and Bidens pilosa) and native species in the riparian zone of the Three Gorges Dam Reservoir in China. There were 43 species mixture types, with various species richness ranging from 1 to 6. Litterbags were placed in the hydro-fluctuation zone and terrestrial zone, where they decomposed over the course of 55 days. Invasive plants decompose rapidly compared to native plants (35.71% of the remaining mass of the invasive plant). The invasive plant A. philoxeroides has the potential to accelerate native plant decomposition (0.29 of non-added synergetic effect), but Bidens pilosa cannot. Nonetheless, species richness had little effect on the decomposition rate. These effects are dependent upon differences in chemical functional characteristics among the species. The initial traits of the plants, specifically C, N, and C/N, were significantly and linearly correlated with the loss of mixed litter mass and mixing effect strength (P < 0.01). In addition, submergence decomposition conditions reduce the disturbance of invasive plants and predict decomposition rates based on litter characteristics. Invasive plants can therefore impact the material cycle of an ecosystem. There is a need to examine decomposition time, which may also involve considering other factors.
Neural Processing Differences of Facial Emotions Between Human and Vehicles: Evidence From an Event-Related Potential Study
Authors: Liu Zhuo , Du Wenjun , Sun Zhongrui , Hou Guanhua , Wang Zhuonan
Published: July 2022

Vehicle “faces” are a crucial factor influencing consumer intention to purchase gasoline and electric vehicles. However, little empirical evidence has demonstrated whether people process a vehicle’s face similarly to a human’s face. We investigated the neural processing relationship among human facial emotions and facial emotions of gasoline and electric vehicles using a 2 (emotional) × 3 (face type) repeated measures design and electroencephalograph (EEG) recordings. The results showed that human faces appear to share a partly similar neural processing mechanism in the latency of 100–300 ms, and that both human and vehicle faces elicited the ERP components N170, EPN, and P2. The large EPN and P2 suggest that gasoline vehicle facial emotions can be perceived more efficiently than those of electric vehicles. These findings provide an insight for vehicle designers to better understand the facial emotions presented by cars.
How Does Inclusive Leadership Curb Workers’ Emotional Exhaustion? The Mediation of Caring Ethical Climate and Psychological Safety
Authors: Li Xintian , Peng Peng
Published: July 2022

The COVID-19 pandemic has transformed the politics, economy, and society of the world, which has dealt the most severe blow to the hospitality industry. Meanwhile, the pandemic and government control policies have brought high psychological pressure to hospitality front-line employees, resulting in emotional exhaustion. As a part of burnout syndrome, emotional exhaustion poses a threat to employees’ mental health, career sustainability, and well-being. Therefore, the purpose of this paper was to investigate the curb effectiveness of inclusive leadership on emotional exhaustion and to explore the mediation roles of ethical climate and psychological safety between them. Time-lagged data were collected from 65 teams and 358 hospitality front-line employees working in Chinese hotels in two stages with a one-month gap. This research verified that inclusive leadership has a negative impact on emotional exhaustion both indirectly through the mediation roles of ethical climate and psychological safety. And the ethical climate and psychological safety played partial mediation roles between inclusive leadership and emotional exhaustion. In theory, the findings explored the dual mediation mechanism of the inhibitory effect of inclusive leadership on emotional exhaustion. In practice, we provided the training and correct guidance to develop inclusive leadership for hotel enterprises and to resolve the emotional exhaustion of employees, which can enhance sustainability in careers.
A Descriptive Case Study of Skilled Football Goalkeepers During 1 v 1 Dyads: A Case for Adaptive Variability in the Quiet Eye
Authors: Franks Benjamin , Roberts William M. , Jakeman John , Swain Jonathan , Davids Keith
Published: July 2022

Evidence investigating skilled performers in sport suggests that a prominent component of skilled behavior is, in part, due to the development of more effective and efficient perception-action couplings. Further, the Quiet Eye has emerged as a useful tool in which to investigate how skilled performers regulate action through fixating on visual information within the immediate environment before the onset of a goal directed movement. However, only a few contributions to the literature have attempted to examine the individual variations within these Quiet Eye fixations in skilled participants. In this case study, we first asked how goalkeepers control their actions, via the Quiet Eye in a representative task. Second, we sought to examine whether inter- and intra- individual differences in the Quiet Eye are present in skilled goalkeepers as a functional component of skilled performance. Results were consistent with previous work on football goalkeepers, with QE fixations located at the ball and visual pivot. However, individual analysis reveals different Quiet Eye gaze patterning between (inter) and within (intra) the goalkeepers during saving actions. To conclude, we have provided a descriptive case study in attempt to understand the Quiet Eye behaviors of a skilled sample of professional goalkeepers. In doing so we have suggested how adaptive variability, founded upon an Ecological Dynamics framework, may provide further insight into the function of the Quiet Eye.
Relationship and Alliance Formation Processes in Psychotherapy: A Dual-Perspective Qualitative Study
Authors: Lavik Kristina Osland , McAleavey Andrew Athan , Kvendseth Eli Karoline , Moltu Christian
Published: July 2022

Objective

To explore how therapists and clients act dyadically to establish a therapeutic relationship during the first five sessions of psychotherapy. The study aimed to identify both relational facilitative and hindering processes occurring in routine care.

Methods

Using the method ‘interpersonal process recall’ (IPR), we videotaped the third and fifth session of 12 psychotherapy dyads, and conducted video-assisted interviews with each therapist and client separately. In total, the data material consist of 47 IPR interviews. Data were analyzed using a thematic approach.

Results

The analysis process revealed two main groups. The first group consisted of dyads with a positive relational outcome, and the second group consisted of dyads with a troubled or frail relational outcome. During the initial phase of therapy, clients described feeling overwhelmed by fear and shame. Positive relational development occurred when these emotions were successfully accommodated and replaced with a growing sense of safety with the therapist. However, the relationship became troubled when the client experienced an increase in shame and/or fear during the first sessions. When forming a therapeutic relationship, it is vital that the client experience the therapist as genuine and skilled, and that the therapist is able to engage and connect deeply with the client on a person-to-person level. The article further provides a discussion on how these dyadic experiences align with the working alliance and real relationship, and how the two consolidate during the first sessions of psychotherapy.

Conclusion

The current study explored the complex relational processes underlying the formation of the therapeutic relationship. Core aspects of the real relationship are prerequisites to forming a collaborative working alliance in which both therapist and client are actively engaged. Facilitating a positive relationship is crucial in the early phase of psychotherapy, and therapists can actively identify and repair ruptures at this time.
A Study on the Effectiveness of College English Teaching Based on Content-Based Instruction Teaching Philosophy
Authors: Zhang Lu , Li Qian , Liu Wei
Published: July 2022

With the development of world globalization, English plays an increasingly important role. English is the international language used in foreign communication, so English learning has become more and more important. Therefore, the innovation and research of College English teaching has become a hot spot in the field of education. Relevant research results are also constantly updated, but there are no ideas and methods that can adapt to the actual teaching. To improve students’ English level and cultivate excellent English talents for the development of the country, the CBI teaching concept aims to completely combine language learning with subject learning, so as to get rid of the artificial separation between language teaching and subject teaching in most educational backgrounds. This study constructs and implements the college English teaching model based on CBI teaching concept from an empirical perspective. In the teaching, it focuses on the theme content that students are interested in. Teachers take explaining the theme content as a means, use content teaching to drive language teaching, and realize the purpose of language teaching. The experimental class adopts CBI teaching concept, the blank class adopts ordinary teaching methods, and the control class adopts task-based teaching concept. Through one semester of teaching, the teaching effect of three classes is evaluated. Under the evaluation of teachers, the full score of CBI teaching effectiveness is 66. Under the evaluation of students, the full score of CBI teaching effectiveness is 64, which is the highest. This shows that the effectiveness of teaching under CBI is higher than task-based teaching and general teaching. The results showed that the average score of the pretest control class was the highest, the average score of the middle test experimental class was the highest, an increase of 4.7 points, and the average score of the post-test experimental class was the highest, an increase of 112.2 points, whereas the scores of the control group and the blank group were 108.7 and 104.3 points, respectively. This shows that the learning effect of CBI teaching concept is higher than task-based teaching and general teaching. Therefore, college English teaching based on CBI teaching concept has high effect, can improve students’ English knowledge and ability, and can be promoted in college English teaching.
Supporting Vaccination on TikTok During the COVID-19 Pandemic: Vaccine Beliefs, Emotions, and Comments
Authors: Wang Xiaopei , He Renyi
Published: July 2022

TikTok has been one of the most important social media platforms where pandemic-related information converged and has been disseminated. However, how vaccination-related visual content, particularly pro-vaccine videos, influences audiences remains unclear. Using Betsch et al.’s 5C model and Ekman’s basic emotion model, we identified 200 trending videos under the hashtag #vaccine on TikTok, and examined the types of vaccine-related beliefs and emotions expressed in videos and the relationship between beliefs, emotions, and supportive comments. Confidence and joy were the most frequently expressed belief and emotion, respectively; confidence (B = 14.84, P < 0.05), surprise (B = 11.29, P < 0.05), and sadness (B = 37.49, P < 0.01) predicted the number of supportive comments. This study expands the 5C framework of vaccine hesitancy into the analysis of pro-vaccine content on social media and offers detailed insights into the specific type of beliefs and emotions and their effects. Practical implications regarding how to address vaccine hesitancy are discussed.
Dementia and Mental Health During the COVID-19 Pandemic: A Systematic Review
Authors: Gaigher Julia Mariano , Lacerda Isabel Barbeito , Dourado Marcia Cristina Nascimento
Published: July 2022

Objectives

The COVID-19 pandemic raised significant concerns related to the management of care for people with dementia, but few studies have examined the mental health of older adults with dementia and their caregivers during the pandemic, when compared to other populations. This systematic review thus aims to compare and discuss the impact of the COVID-19 pandemic on people with dementia and on their caregivers' mental health.

Methods

A search was performed in the PubMed/Medline and ISI databases according to the PRISMA methodology. We included studies published in 2020 and 2021 with the following combinations of keywords: “COVID-19 and mental health and elderly,” “COVID-19 and mental health and dementia;” “COVID-19 and dementia and caregivers,” “pandemic and mental health and elderly,” and “pandemic and anxiety.”

Results

Twenty-two studies were included. Technology has proven to be an essential ally during the pandemic, since all 22 studies performed remote data collection. Nearly all the studies emphasized that social isolation and withdrawal can lead to the emergence or increase of neuropsychiatric symptoms and motor difficulties. However, the findings were mixed concerning the pandemic's impact on the cognition of people with dementia. Caregivers also suffered from the pandemic's impact, experiencing an increase in the burden of care and symptoms of stress, depression, and anxiety. Few studies suggested measures to alleviate the difficulties of people with dementia and their caregivers. There are reports of the benefits of technology in communication and treatment through teleconsultations, however, not everyone has access to such technology, making it difficult to disseminate this tool to the target population.

Conclusions

The studies generally showed that social isolation can increase motor deficits and neuropsychiatric symptoms and caregivers' burden and anxiety. New avenues for care and intervention are thus needed for older adults with cognitive deficits and their caregivers to avoid the intensification of physical and psychological suffering. Technological initiatives and support should consider people with cognitive impairment and different levels of technology literacy.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/.
Decreases in State and Trait Anxiety Post-psilocybin: A Naturalistic, Observational Study Among Retreat Attendees
Authors: Kiraga Maggie Kamila , Kuypers Kim P. C. , Uthaug Malin Vedoy , Ramaekers Johannes G. , Mason Natasha Leigh
Published: July 2022

Anxiety disorders are the most common type of psychiatric disorders among Western countries. Evidence-based treatment modalities including pharmacological and cognitive-behavioral therapy result in deficient treatment responses. Historical and recent research suggests psychedelic drugs may be efficacious in alleviating anxiety-related symptoms among healthy and clinical populations. The main aim of the present study was investigation of the effects of psilocybin-containing truffles, when taken in a supportive group setting, on ratings of state and trait anxiety across self-reported healthy volunteers. Attendees of psilocybin ceremonies were asked to complete a test battery at three separate occasions: before the ceremony (baseline), the morning after, and 1 week after the ceremony. The test battery included questionnaires assessing state and trait anxiety (State-Trait Anxiety Inventory), mindfulness capacities (Five Facet Mindfulness Questionnaire), and personality (Big Five Inventory). Additionally, the psychedelic experience was quantified with the Persisting Effects Questionnaire and the Ego Dissolution Inventory. The total amount of psilocybin-containing truffles consumed by each participant was recorded, and a sample of the truffles was analyzed to determine psilocin concentrations. Fifty-two attendees (males = 25; females = 25; others = 2) completed parts of the baseline assessment, 46 (males = 21; females = 24; others = 1) completed assessments the morning after the ceremony, and 23 (males = 10; females = 13) completed assessments at the 1-week follow-up. Average psilocin consumption across individuals was 27.1 mg. The morning after the ceremony, we observed medium reductions in anxiety measures (both state and trait) compared to baseline (d¯ = 6.4; p < 0.001 and d¯ = 6; p = 0.014, respectively), which persisted over a 1-week period post-ceremony (d¯ = 6.7; p = 0.001 and d¯ = 8.6; p = 0.004, respectively). At 1 week post-ceremony, the non-judging facet of the mindfulness scale was increased (d¯ = 1.5; p = 0.03), while the personality trait neuroticism decreased (d¯ = 5.2; p = 0.005), when compared to baseline. Additionally, we found ratings of ego dissolution (mean: 59.7, SD: 28.3) and changes in neuroticism to be the strongest predictors of reductions in state and trait anxiety, respectively. In sum, results suggest rapid and persisting (up to 1 week) anxiolytic effects in individuals with sub-clinical anxiety symptoms, which are related to the acute experience of ego dissolution, as well as lasting changes in trait neuroticism. Results also add support to the feasibility and potential efficacy of group sessions with psychedelics. To understand whether these effects extend to wider populations suffering from heightened anxiety, and the mechanisms involved, further experimental research is needed.
Spanish Adaptation of Meaning-Centered Psychotherapy for Participants With Cancer: Study Protocol of a Randomized Control Trial
Authors: Marco Jose Heliodoro , Llombart Pilar , Guillén Verónica , Baños Rosa M. , Romero Rocio , Garcia-Conde Ana , Pérez Rodríguez Sandra
Published: July 2022

Background

Meaning-Centered Psychotherapy (MCP) is effective in improving meaning in life, hope, optimism, self-efficacy, well-being, and quality of life, and in reducing stress in people with cancer. However, all the studies on the application of MCP in cancer patients have been carried out in Anglo-Saxon samples. Therefore, it is necessary to adapt and verify the efficacy of MCP in populations that speak languages other than English, such as Spanish. Moreover, to expand the data supporting the efficacy of MCP for cancer patients, it would be necessary to compare MCP to other active therapies such as Cognitive Behavioral Therapy (CBT).

Methods

The aims of the proposed study are: the first objective is to verify the efficacy of the MCP intervention for Spanish participants with cancer in a randomized control trial (RCT) comparing it to CBT. The second objective is to analyze the feasibility and acceptance of MCP in Spanish participants with cancer. The third objective is to analyze whether the changes produced in the meaning in life dimensions (presence, search, comprehension, purpose, and mattering) will predict changes in anxiety, depression, quality of life, etc. Our research team adapted MCP for Spanish participants with cancer. This paper presents the study protocol. The study design consists of a two-arm RCT with two conditions: MCP and CBT, where participants will be randomized to one of the two groups. Eligible participants will be adults with stage I, II, and III cancer who were treated with curative intent and had completed their main medical treatment (surgery, radiotherapy, or chemotherapy). Participants will be assessed at pretreatment, post-treatment, and 6-month follow-up. The intention-to-treat principle will be used when analyzing data, using mixed-effects models with full information and maximum likelihood estimation.

Discussion

This study will provide results that confirm the efficacy of the MCP in Spanish participants with cancer.

Trial Registration

ClinicalTrials.gov; https://register.clinicaltrials.gov/prs/app/template/Home.vm?uid=U0005WS9&ts=4&sid=S000BOTT&cx=bvr2ue, identifier NCT05197348
Mapping the Knowledge of Antipsychotics-Induced Sudden Cardiac Death: A Scientometric Analysis in CiteSpace and VOSviewer
Authors: Wang Min , Ma Yixun , Shen Zefang , Jiang Lufang , Zhang Xiaoyuan , Wei Xuan , Han Zhengqi , Liu Hongxia , Yang Tiantong
Published: July 2022

The drugs on the market for schizophrenia are first-generation and second-generation antipsychotics. Some of the first-generation drugs have more side effects than the other drugs, so they are gradually no longer being applied clinically. Years of research have shown that the risk of sudden cardiac death in psychotic patients is associated with drug use, and antipsychotic drugs have certain cardiotoxicity and can induce arrhythmias. The mechanism of antipsychotic-induced sudden cardiac death is complicated. Highly cited papers are among the most commonly used indicators for measuring scientific excellence. This article presents a high-level analysis of highly cited papers using Web of Science core collection databases, scientometrics methods, and thematic clusters. Temporal dynamics of focus topics are identified using a collaborative network (author, institution, thematic clusters, and temporal dynamics of focus topics are identified), keyword co-occurrence analysis, co-citation clustering, and keyword evolution. The primary purpose of this study is to discuss the visual results, summarize the research progress, and predict the future research trends by bibliometric methods of CiteSpace and VOSviewer. This study showed that a research hotspot is that the mechanisms of cardiotoxicity, the safety monitoring, and the assessment of the risk-benefit during clinical use of some newer antipsychotics, clozapine and olanzapine. We discussed relevant key articles briefly and provided ideas for future research directions for more researchers to conduct related research.
Global Trends and Research Hotspots of Exercise for Intervening Diabetes: A Bibliometric Analysis
Authors: Zhang Zhijie , Zhu Yuanchun , Wang Qingfeng , Chang Tiantian , Liu Chunlong , Zhu Yi , Wang Xueqiang , Cao Xiangyang
Published: July 2022

Background

Diabetes is a chronic metabolic disease characterized by hyperglycemia that often occurs in adults. Many studies have indicated that exercise is beneficial to the medical management of diabetes. Bibliometric analysis can help investigators to identify the current research concerns to guide future research directions. Nevertheless, the overview bibliometric analysis of this global research topic related to exercise and diabetes is lacking. The present bibliometric study aimed to investigate development trends and research hotspots of exercise and diabetes research and provide researchers with new perspectives in further studies.

Materials and Methods

The articles and reviews regarding exercise and diabetes between 2000 and 2020 were retrieved from the Web of Science Core Collection. The scientometrics analytical tool CiteSpace software was used to analyze the cooperation among countries/institutions/journals/authors, analysis of co-occurrence keywords, keywords bursts, and references.

Results

In all, 3,029 peer-reviewed papers were found with a persistently increased tendency over time. The most prolific country and institution were the USA (965) and Univ Alberta (76), respectively. Diabetes Care published most papers (178) and was the most co-cited journal (2,630). Riddell MC had the most publications (53), and Sigal RJ was the most influential author (503 cited times). Colberg et al.'s paper (co-citation counts: 183) showed the strongest citation bursts by the end of 2020, which was the most representative reference. The four research focuses were mellitus, exercise, physical activity, and glycemic control. The two frontiers trends were sedentary behavior and stress. The combination of aerobic and resistance training can effectively improve glycemic control, decrease HbA1c levels, enhance cardiorespiratory fitness, improve lipid levels, and decrease the demand for non-insulin antihyperglycemic agents.

Conclusions

This study offers a scientific perspective on exercise and diabetes research and provides investigators with valuable information to detect the current research condition, hotspots, and emerging trends for further study.
Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis
Authors: Brown Alexander A. , Ferguson Bradley J. , Jones Vovanti , Green Bruce E. , Pearre Justin D. , Anunoby Ifeoma A. , Beversdorf David Q. , Barohn Richard J. , Cirstea Carmen M.
Published: July 2022

Aims

Cardiovascular dysautonomia may impact the quality of life and survival in amyotrophic lateral sclerosis (ALS). Such dysfunction is not systematically assessed in these patients. Wearable devices could help. The feasibility of a wearable biosensor to detect heart rate variability (HRV), a physiological marker of sympathovagal balance, was studied for the first time in real-world settings in ALS.

Methods

Five ALS patients (two early/three late; one bulbar-onset; mildly-to-moderately disabled) and five age/sex/BMI/comorbidities-matched controls underwent assessment of 3-day HRV via VitalConnect biosensor (worn on the left thorax). De-identified data captured by the biosensor were transferred to a secure cloud server via a relay Bluetooth device. Baseline ALS severity/anxiety and physical activity during testing were documented/quantified. Time-domain HRV measures (i.e., pNN50) were analyzed.

Results

An overall 3-day abnormal HRV (pNN50 < 3%), was found in three out of five patients (mean ± SD for the group, 2.49 ± 1.51). Similar changes were reported in controls (12.32 ± 21.14%). There were no statistically significant relationships between pNN50 values and baseline anxiety or physical activity during the tested days (p > 0.05 for both groups). A negative correlation was found between pNN50 values and age in patients (p = 0.01) and controls (p = 0.09), which is similar with what is found in the general population. In line with prior studies, pNN50 values were independent of disease stage (p = 0.6) and disability (p = 0.4).

Conclusions

These preliminary results suggest that remote HRV measures using the VitalConnect is feasible and may constitute an improved strategy to provide insights into sympathovagal balance in ALS. Further work with larger sample sizes is warranted.
Quality Assessment of PBM Protocols for Oral Complications in Head and Neck Cancer Patients: Part 1
Authors: Gobbo Margherita , Merigo Elisabetta , Arany Praveen R. , Bensadoun René-Jean , Santos-Silva Alan Roger , Gueiros Luiz Alcino , Ottaviani Giulia
Published: July 2022

Background

Radiotherapy and chemotherapy are frequently employed in head and neck cancer (HNC) patients causing significant side effects that impair life quality and prognosis. Photobiomodulation (PBM) has become a growing approach to managing such oral complications. Despite its proven efficacy and absence of contraindications, there is still a lack of universally accepted disease-specific PBM protocols.

Objective

A narrative review was conducted to identify the current proposals relating to the use of PBM to treat complications of oncological treatments in HNC patients.

Methods

An electronic search in PubMed and Scopus databases was performed with the following keywords: (“photobiomodulation” OR “PBM” OR “laser therapy” OR “LLLT” OR “laser”) AND (“head and neck cancer” OR “oral cancer”) AND (“mucositis” OR “oral mucositis” OR “dysgeusia” OR “oedema” OR “xerostomia” OR “dermatitis” OR “trismus”) until October 2021.

Results

A total of 35 papers were included in the narrative review. Oral mucositis was the most studied complication, and advisable protocols are conceivable. Although there is a growing interest in PBM to manage of xerostomia, radiodermatitis, pain, and trismus, literature is still scarce to propose a universally feasible protocol.

Conclusions

PBM therapy could significantly prevent or reduce the severity of many side effects related to cancer therapies. More research is needed to obtain recommendations over the preferable parameters.
AudaCITY: A Capacity-Building Research Method for Urban Sustainability Transformation
Authors: Keeler Lauren Withycombe , Bernstein Michael J. , Nelson John P. , Kay Braden R.
Published: July 2022

The scale and urgency of sustainability problems the world over has led to calls for sustainability transformations in cities, regions, and countries. Such calls for transformation are underlain by a persistent knowledge-to-action gap between scientific knowledge production, policy, and practice. To rise to the challenges of sustainability and resilience, municipal administrators need to set evidence-based and ambitious sustainability targets and develop strategies to achieve them. Simultaneously, transdisciplinary sustainability science researchers need to generate scientific knowledge to further enable cities along pathways of transformation. This paper details a collaborative backcasting game, AudaCITY, developed to build transformative capacity in city administrations while also generating deep contextual knowledge to inform a transformative sustainability science research agenda. We present AudaCITY's key features, potential applications and adaptations, and exemplary outputs and outcomes for cities and researchers. We conclude with recommendations for adopting and adapting AudaCITY for use in action-oriented and transformational sustainability science and capacity building.
On the (Non)Institutional Disclosure of Urban Commons: Evidence, Practices and Challenges From the Netherlands and Belgium
Authors: Calzati Stefano , Santos Francisco , Casarola Giulia
Published: July 2022

The 2008 economic crisis has opened the door to new strategies for managing urban resources. In fact, the interest in urban commons (UC) has (re)surfaced both within and outside academia. While literature accounting for existing experiences is growing; UC as a practice begs for further systematization concerning the needed negotiation between institutional recognition and informal self-organization. This is particularly true for temporary urbanism, a strategy for the social repurposing of temporarily unused buildings, whose precarious nature has been deemed to represent just a fixing to the neoliberal logic. In this regard, a non-institutional perspective can help shed light on citymaking as a composite practice in which both institutional and non-institutional actors not only coexist but presuppose each other. In this paper, we explore this issue by focusing on two non-profit organizations working in the Rotterdam and Brussels's housing market: Stad in de Maak and Communa. Through in-depth interviews with the founders and core members of these organizations, as well as with participants to their projects, we show how SidM and Communa operate as intermediaries in the housing sector, filling the gaps left by the market and public actors. Most importantly, our research questions the extent to which the enacting of commoning practices by these organizations can become a pillar of citymaking, configuring an iterative disclosure and (collective) reclosure of urban resources. Evidence shows that, while enacting temporary urbanism differently, both organizations strive for social cooperative ownership of spaces for consolidating their presence in the cities.
Modified SSR-NET: A Shallow Convolutional Neural Network for Efficient Hyperspectral Image Super-Resolution
Authors: Avagyan Shushik , Katkovnik Vladimir , Egiazarian Karen
Published: July 2022

A fast and shallow convolutional neural network is proposed for hyperspectral image super-resolution inspired by Spatial-Spectral Reconstruction Network (SSR-NET). The feature extraction ability is improved compared to SSR-NET and other state-of-the-art methods, while the proposed network is also shallow. Numerical experiments show both the visual and quantitative superiority of our method. Specifically, for the fusion setup with two inputs, obtained by 32× spatial downsampling for the low-resolution hyperspectral (LR HSI) input and 25× spectral downsampling for high-resolution multispectral (HR MSI) input, a significant improvement of the quality of super-resolved HR HSI over 4 dB is demonstrated as compared with SSR-NET. It is also shown that, in some cases, our method with a single input, HR MSI, can provide a comparable result with that achieved with two inputs, HR MSI and LR HSI.
The Design and Development of an Embodied Semi-Autonomous Mentoring Intelligence (SAMI) for Use in Virtual Reality Interventions, Operationalized for the Self-Management of Chronic Pain
Authors: Bartlett J. , Fisher E. , Liikkanen S. , Turunen J. , Skog M. , Eccleston C.
Published: July 2022

Introduction: Avatars are becoming more common in virtual reality, used as a guide, teacher, companion, or mentor through immersive experiences. Special attention needs to be paid to their design to ensure credibility and working alliance, to allow for the optimal delivery of behavior change content.

Methods: We present a new embodied Semi-Autonomous Mentoring Intelligence (SAMI) avatar used in an immersive virtual reality intervention for the self-management of chronic pain. We discuss the research findings that were taken into consideration and guided the design and development of SAMI, such methods to promote working alliance with non-human agents, optimal characteristics of non-human agents, and features of effective “automation”.

Conclusion: We provide a table of considerations and recommendations for researchers involved in designing future virtual reality characters. We provide suggestions on how future research could advance SAMI further for use in pain management and related interventions.
Functional Groups Mask Inter- and Intraspecific Variation in Water Use Strategies in a Seasonally Dry Tropical Forest
Authors: Adams Rachel E. , West Jason B.
Published: July 2022

Across the karst landscape of Quintana Roo, Mexico, plant access to nutrients and water appears limited by generally shallow soil. However, underlying this surface are heterogenous pockets in bedrock and deeper, stable groundwater, suggesting the potential for specialization by species in accessing soil resources. If species differentially access rock resources, divisions by functional groups may also be expected. In this study, shallow caves provided an opportunity to assess resource use strategies by direct, species-specific root observations coupled with traditional above ground measurements. Utilizing stable isotopes from stems and leaves (δ18O and δ13C), we investigated water access and water use efficiency of trees during the dry season to uncover relationships between rooting habit, tree size, and pre-determined functional groups based on leaf habit and wood density. Functional group membership did not predict measured stable isotope ratios, indicating that functional groups were poor predictors of resource use. We did find evidence for deep water use by select species and larger individuals. Interestingly, as trees became larger, δ13C increased to a threshold but then declined, suggesting increasing vulnerability to water limitation as trees increase in size, consistent with other seasonally dry tropical forests. Our work demonstrates that, although shallow soils likely drive strong resource limitations, co-occurring trees in karst ecosystems employ diverse resource acquisition strategies, suggesting important consequences for community composition and ecosystem function in the face of environmental change.