bluuebunny/crossref_metadata_2025 huggingface dataset:
Reduced stem nonstructural carbohydrates caused by plant growth retardant had adverse effects on maize yield under low density
Authors: Tang Qian , Ren Jianhong , Du Xiong , Niu Shiduo , Liu Shanshan , Wei Dejie , Zhang Yarong , Bian Dahong , Cui Yanhong , Gao Zhen
Published: October 2022

Enhancing maize lodging resistance with plant growth retardants (PGRs) is common in maize production. However, the underlying mechanisms of yield formation as affected by PGRs are still poorly understood. A field experiment contained PGR application (a mixture of ethephon and cycocel, EC) with normal (T1) and double (T2) doses and water control (CK) was conducted at four maize plant densities (4.5, 6.0, 7.5, and 9.0 plants m−2) in 2020 and 2021. In this two-year study, the grain yield and kernel number per ear (KNE) of EC treatments were reduced by 4.8–9.0% and 3.3–12.2%, respectively, compared with CK under densities of 4.5, 6.0, and 7.5 plants m−2 without lodging. However, under the density of 9.0 plants m−2, EC treatments had no pronounced effects on grain yield and yield components. Across all densities, EC significantly decreased the leaf area index (LAI), and the lowest LAI was recorded in T2. The concentrations of nonstructural carbohydrates (NSCs; starch and soluble sugar) in the stem were significantly decreased by 9.9–10.2% in T2 averaged all densities. The sucrose and starch concentrations in grains also declined in the EC treatments. The key enzymes (cell wall acid invertase, sucrose synthase, and adenosine diphosphate pyrophosphorylase) and grain polyamine concentrations showed a slight downward trend under EC treatments compared to CK. NSCs in stems and grains, kernel enzyme activities, and polyamines in grains presented significant positive correlations with KNE. Additionally, structural carbohydrate (SC; including cellulose, hemicellulose, and lignin) concentrations in stems were improved with enhanced lodging resistance by spraying EC. Significant negative relationships were observed between SC with kernel number m-2 (KNM) and yield, suggesting that improved SC in stems might affect the availability of NSCs for kernel set. Although the lowest kernel weight and KNE were obtained at 9.0 plant m−2, relatively high LAI still ensured high KNM and high yield. Collectively, EC treatment increased SC in stems, enhanced lodging resistance of maize and reduced NSC availability for kernels, ultimately presenting adverse effects on maize kernel number and yield under relative low density.
Plant mineral nutrition and disease resistance: A significant linkage for sustainable crop protection
Authors: Tripathi Ruchi , Tewari Rashmi , Singh K. P. , Keswani Chetan , Minkina Tatiana , Srivastava Anoop Kumar , De Corato Ugo , Sansinenea Estibaliz
Published: October 2022

Complete and balanced nutrition has always been the first line of plant defense due to the direct involvement of mineral elements in plant protection. Mineral elements affect plant health directly by modulating the activity of redox enzymes or improving the plant vigor indirectly by altering root exudates, and changing microflora population dynamics, rhizosphere soil nutrient content, pH fluctuation, lignin deposition, and phytoalexin biosynthesis. Nitrogen (N) is one of the most important macronutrients having a significant impact on the host-pathogen axis. N negatively affects the plant’s physical defense along with the production of antimicrobial compounds, but it significantly alleviates defense-related enzyme levels that can eventually assist in systemic resistance. Potassium (K) is an essential plant nutrient, when it is present in adequate concentration, it can certainly increase the plant’s polyphenolic concentrations, which play a critical role in the defense mechanism. Although no distinguished role of phosphorus (P) is observed in plant disease resistance, a high P content may increase the plant’s susceptibility toward the invader. Manganese (Mn) is one of the most important micronutrients, which have a vital effect on photosynthesis, lignin biosynthesis, and other plant metabolic functions. Zinc (Zn) is a part of enzymes that are involved in auxin synthesis, infectivity, phytotoxin, and mycotoxin production in pathogenic microorganisms. Similarly, many other nutrients also have variable effects on enhancing or decreasing the host susceptibility toward disease onset and progression, thereby making integrative plant nutrition an indispensable component of sustainable agriculture. However, there are still many factors influencing the triple interaction of host-pathogen-mineral elements, which are not yet unraveled. Thereby, the present review has summarized the recent progress regarding the use of macro- and micronutrients in sustainable agriculture and their role in plant disease resistance.
A single-session Mindfulness-Based Swinging Technique vs. cognitive disputation intervention among women with breast cancer: A pilot randomised controlled study examining the efficacy at 8-week follow-up
Authors: Bahcivan Ozan , Gutierrez-Maldonado Jose , Estapé Tania
Published: October 2022

Objective

Previously Mindfulness-Based Swinging Technique (MBST)'s immediate efficacy for overcoming psychological concerns has recently received empirical support, yet its longer-term efficacy needed to be evaluated among women with breast cancer. The objective of this study was to assess and report the efficacy of MBST intervention among breast cancer patients for hopelessness, anxiety, depression, self-efficacy, oxygen (SpO2) intensity, and heart rate-beats per minute (HR-bpm) at an 8-week period.

Method

The State-Trait Anxiety Inventory, The Emotion Thermometer, Hospital Anxiety and Depression Scale, Self-Efficacy for Managing Chronic Disease, and Beck's Hopelessness Scale were used for assessing the intervention's outcome; 149 BC patients were randomly assigned into two groups (equal-mean-age, p = 0.262). The participants in the control group (CG, n = 73) received Cognitive Behavioural Therapy (CBT)-Cognitive-Disputation (CBT-CD) for 20 min, and intervention group (IG, n = 76) received MBST intervention. No additional psychological interventions were given between week-1 and week-8.

Result

Outcomes of the 8-week post-treatment follow-up exhibited significantly higher improvements in all evaluated-measurements for CG, and some for IG with large effect size in the following: anxiety (CG p < 0.05, r = 0.57; IG p < 0.05, r = 0.44) and depression levels (CG p < 0.05, r = 0.43). It increased self-efficacy for managing disease (CG p < 0.05, r = 0.49; IG p < 0.05, r = 0.41) and hopefulness (CG p < 0.05, r = 0.59; IG p < 0.05, r = 0.46), and saturation levels measured by pulse-meter/oximeter (CG p < 0.05, r = 0.49; IG p < 0.05, r = 0.32).

Conclusions

Both CBT-CD and MBST have been found to be efficacious interventions to shorten the psychotherapy duration for reducing clinical anxiety and hopelessness as well as increase self-efficacy for BC women. This may have a distinct clinical importance for supporting BC patient's adherence-to-treatment since CBT-CD could be an alternative technique to MBST as a brief intervention. In future studies, the effectiveness of MBST through adapting to virtual reality and other online delivery methods should be examined.
Understanding of guest behavioral intentions in peer-to-peer accommodation sector
Authors: Ye Ye , Ali Laiba , Wong Foong Yee , Ng Siew Imm , Lim Xin-Jean
Published: October 2022

The purpose of this study is to investigate the antecedents of guests’ behavioral intentions in Malaysia’s peer-to-peer (P2P) accommodation industry. This study focused on the effects of physical and social environment on guest emotions, satisfaction, and subsequently on guest’s behavioral intentions towards P2P accommodation. The proposed research framework was developed based on Stimulus-Organism-Response model. Partial Least Square Structural Equation Modeling (PLS-SEM) was used to examine the proposed hypotheses. Data were collected from 476 foreign visitors who stayed at P2P accommodations in Malaysia using online survey. The findings demonstrated that the P2P accommodation’s social and physical environment had a positive impact on guest satisfaction and emotions, while both satisfaction and emotions had significant impact on guest behavioral intentions. The findings also extend the applicability of the S-O-R theory in P2P accommodation context. In practice, both the physical and social environments are important stimuli cues to induce favorable level of organism factors, i.e., satisfaction and emotions. While behavioral intentions acted as the response factor in examining visitor’ responses towards P2P accommodation. All in all, this study emphasizes how crucial it is to emphasize on the external and internal factors when encouraging positive response in P2P accommodation platforms.
The experience of reading philosophy
Authors: Whistler Daniel
Published: October 2022

Reading is not a peripheral philosophical pastime; it constitutes most of what we do when we do philosophy. And the experience of reading philosophy is much more than just a series of interpretative acts: the philosopher-reader is subject to, among other things, sensations, passions, emendations, and transformations. In this essay, I argue that a full account of philosophical reading should outline some of the sociological structures that determine how different communities of philosophers (within and outside the academy) construct such experiences, as well as describe in detail the ways in which philosophers encounter (or fail to encounter) truths while reading. It should, that is, describe ways in which philosophy acts upon readers and the various effects that result.
The relationship of Grasha–Riechmann Teaching Styles with teaching experience of National-Type Chinese Primary Schools Mathematics Teacher
Authors: Sim Sze Hui , Mohd Matore Mohd Effendi Ewan
Published: October 2022

Grasha–Riechmann Teaching Styles have a high potential to be applied in Mathematics especially to help increase teacher educators’ knowledge. However, very little attention has been paid to the study of identifying the teaching style patterns of Mathematics teachers at the primary school National-Type Chinese Primary Schools or Sekolah Jenis Kebangsaan Cina SJKC. There is increasing concern about how this teaching style related to the teaching experience. This study aims to identify the patterns of Grasha–Riechmann Teaching Styles among primary school Mathematics teachers and the relationship between Grasha–Riechmann Teaching Styles with teaching experience. The quantitative approach through a survey was applied to 97 Mathematics teachers of SJKC Kepong, Kuala Lumpur using the simple random sampling method. The instrument was adapted from the Grasha–Riechmann Teaching Styles Questionnaire (1996), which measures five teaching styles such as Personal Model Teaching Style, Expert Teaching Style, Formal Authority Teaching Style, Delegator Teaching Style, and Facilitator Teaching Style. The patterns showed that the Personal Model Teaching Style is the most dominant, and the Facilitator Teaching as the least dominant style. The Spearman’s Rho Correlation also reported a very weak significant correlation between Grasha–Riechmann Teaching Styles with the teachers’ Mathematics teaching experience, specifically for Expert, Formal Authority, and Facilitator Teaching Styles. The study provides practical implications for educators’ professional development to diversify the training of teachers by experience and adapt them to the needs of student learning in primary school. These findings trigger ideas to get a better understanding by other demographic variables such as gender, age, and complexity of Mathematics subject.
How and why non-balanced reciprocity differently influence employees’ compliance behavior: The mediating role of thriving and the moderating roles of perceived cognitive capabilities of artificial intelligence and conscientiousness
Authors: Zhu Nan , Liu Yuxin , Zhang Jianwei , Liu Jia , Li Jun , Wang Shuai , Gul Habib
Published: October 2022

Previous studies have paid more attention to the impact of non-balanced reciprocity in the organization on employees’ behaviors and outcomes, and have expected that the reciprocity norm could improve employees’ compliance behavior. However, there are two distinct types of non-balanced reciprocity, and whether generalized reciprocity affects employees’ compliance behavior rather than negative reciprocity and its mechanisms has not been further explored so far. Building on the social exchange theory and cognitive appraisal theory, we established and examined a model in a scenario-based experiment across a two-stage survey of 316 participants. In this article, we propose that generalized reciprocity (relative to negative reciprocity) positively influences employees’ compliance behavior, and thriving at work mediates its relationship. Furthermore, we argue that the positive association between generalized reciprocity and thriving at work is moderated by the perceived cognitive capabilities of artificial intelligence (AI). This association is amplified for people high in the perceived cognitive capabilities of AI. We also propose that the positive association between thriving at work and compliance behavior is moderated by conscientiousness, such that the association is amplified for people high in conscientiousness. These findings have theoretical and practical implications.
Superior visual rhythm discrimination in expert musicians is most likely not related to cross-modal recruitment of the auditory cortex
Authors: Korczyk Maksymilian , Zimmermann Maria , Bola Łukasz , Szwed Marcin
Published: October 2022

Training can influence behavioral performance and lead to brain reorganization. In particular, training in one modality, for example, auditory, can improve performance in another modality, for example, visual. Previous research suggests that one of the mechanisms behind this phenomenon could be the cross-modal recruitment of the sensory areas, for example, the auditory cortex. Studying expert musicians offers a chance to explore this process. Rhythm is an aspect of music that can be presented in various modalities. We designed an fMRI experiment in which professional pianists and non-musicians discriminated between two sequences of rhythms presented auditorily (series of sounds) or visually (series of flashes). Behavioral results showed that musicians performed in both visual and auditory rhythmic tasks better than non-musicians. We found no significant between-group differences in fMRI activations within the auditory cortex. However, we observed that musicians had increased activation in the right Inferior Parietal Lobe when compared to non-musicians. We conclude that the musicians’ superior visual rhythm discrimination is not related to cross-modal recruitment of the auditory cortex; instead, it could be related to activation in higher-level, multimodal areas in the cortex.
I am one of you! Team prototypicality as a facilitator for female leaders
Authors: Hernandez Bark Alina S. , Monzani Lucas , van Dick Rolf
Published: October 2022

In the present study, we complement role congruity theory with insights from the Social Identity Model of Leadership. We propose that especially female leaders benefit from team prototypicality, i.e., being representative of the group they are leading. We assume that team prototypicality shifts the comparative frame away from higher-order categories like gender and leader roles to more concrete team-related properties and thereby reduces disadvantages for female leader that stem from the incongruity between the leader role and the female gender role stereotypes. Further, this effect should affect both (female) leaders themselves and their perception by their followers. Building on previous research, we predict, first, lower authentic leadership behavior for female than male leaders. Second, that team prototypicality positively relates to authentic leadership and trust in leader. Third, that team prototypicality has stronger relations to authentic leadership and trust in leader for female compared to male leaders. We tested assumptions in a randomized online experiment (Study 1,N = 315) and a cross-sectional survey study (Study 2,N = 300). We did not find consistent support for the assumed gender differences in authentic leadership. But our results (both in manifest and in latent analyses) show that team prototypicality—both self-perceived (Study 1) and as perceived by employees (Study 2)—is related to more authentic leadership and more trust in leader (Study 2) and that these relations are stronger for female than for male leaders. Furthermore, we tested in Study 2 an extended model including follower’s job satisfaction as the final follower outcome affectedviateam prototypicality, leader gender, authentic leadership, and trust in leader. Thereby, we found that team prototypicality has direct and indirect effects on job satisfaction as carried through authentic leadership and trust in leader, respectively. Together, the results of both studies support our assumptions and show that female leaders can reduce role incongruity barriers through high team prototypicality. Implications for future research and practical implications of these results for gender equality are discussed.
Have you “involution” today—Competition psychology scale for college students
Authors: Liu Yisi , Tu Yanli , Yang Hao , Gao Jie , Xu Yun , Yang Qiwei
Published: October 2022

In order to investigate the competitive psychology of college students in the current context of fierce social competition, this study compiled a competition psychology scale for college students [i.e., the Competition Psychology Scale for College Students (CPS-CS)]. The scale was administered online to 628 university students in different regions of China. After item analysis, reliability analysis, and validity analysis, a 6-item scale was finally formed. CPS-CS contains four dimensions: hypercompetitive attitude, competitive motivation, personal development, competitive attitude, and competitive interpersonal relationships. The reliability and validity of the CPS-CS developed in this research meet the requirements of psychometrics.
Eliciting empathetic drives to prosocial behavior during stressful events
Authors: Grignoli Nicola , Filipponi Chiara , Petrocchi Serena
Published: October 2022

In the current pandemic situation, psychological science is increasingly considered by public health policy. Empathy is mainly recognized as a crucial drive for prosocial behavior. However, this rich body of evidence still lacks visibility and implementation. Effective social programs are needed, and little is known about how to elicit empathetic drives. The paper gives first a clear foundation to the role of empathy during stressful events. It provides then a comprehensive overview of innovative interventions triggering empathic response in the public such as fiction, film, and theater. Moreover, it integrates interactive ways of sharing personal views that could elicit empathetic feelings in different people. Advances deriving from this perspective could be of significant public interest in the current and future health crises and help authorities develop innovative social programs, which should be the focus of further scientific inquiry.
The effects of aging and perceived loneliness on lexical ambiguity resolution
Authors: Zhou Nannan , Huang Chih-Mao , Cai Qing , Tzeng Ovid J. L. , Huang Hsu-Wen
Published: October 2022

Language is central to the interactional nature of the social life within which it is situated. To react or respond in a particular situation, we must be able to recognize the social situation. Growing evidence has demonstrated the negative impact of perceived loneliness on late-life executive functions. Yet little is known about how social factors impact language processing for older people. The current study aims to fill this gap, first by assessing age-related changes in lexical processing during Chinese word reading, second, by examining whether older adults’ individual differences, such as processing speed and verbal abilities, modulate meaning retrieval and, third, by investigating whether perceived loneliness can hinder word reading. The use of compound words in Chinese enables significant sublexical ambiguity, requiring varying executive load during word recognition: when a word’s constituent characters carry multiple meanings, readers must consider the meaning contributions of both constituent characters and use top-down word information to determine the most accurate meaning of the ambiguous character, a process termed “sublexical ambiguity resolution.” In this study, adults read real Chinese words (including both sublexically ambiguous and unambiguous words) and pseudowords, and they were asked to make lexical decisions. Older adults exhibited greater lexicality effects (i.e., real words were easier to be identified than pseudowords) and similar sublexical ambiguity effects compared with young adults. Among older participants, processing speed could account for their ability to differentiate between words and pseudowords. In contrast, the level of perceived loneliness modulated the efficacy of sublexical ambiguity resolution: the participants with higher perceived loneliness displayed a greater sublexical ambiguity disadvantage effect. These results indicate that perceived loneliness may affect the use of contextual information in meaning retrieval during reading. The findings provide an important link between social connections and language processing.
Introduction and validation of the Antisocial Beliefs Scale in a sample of Polish prisoners
Authors: Skowroński Bartłomiej
Published: October 2022

Purpose

The goal of this study was to create and validate a brief self-report scale of antisocial beliefs.

Methods

The Antisocial Beliefs Scale (ABS), the Buss–Perry Aggression Questionnaire (BPAQ), the Mach-IV, the IVE Questionnaire were administrated to 718 prisoners. Dimensionality and construct validity of the ABS was investigated using CFA techniques, along with confirmatory bifactor analysis and second-order factor analysis. Four alternatives models of the ABS were specified and tested using Mplus (WLSMV estimation). A comparison sample of adult male non-offenders (n = 339) was also recruited. This sample completed only the ABS.

Results

The bi-factor model offered the best representation of the data. Results suggest that the ABS consists of eight subscales (physical aggression, lack of empathy, absence of prosocial standards, lack of guilt or remorse, incapacity for mutually intimate relationships, risk taking, egocentrism and manipulativeness). The ABS showed different levels of antisocial beliefs in offenders and non-offenders. The factors of ABS correlate significantly with external variables. The Antisocial Beliefs Scale demonstrated very good internal consistency.

Conclusion

The Antisocial Beliefs Scale can be used among participants with criminal history.
Effectiveness of mindfulness-based interventions on empathy: A meta-analysis
Authors: Hu Zhengyu , Wen Yurong , Wang Yafei , Lin Yangyang , Shi Jian , Yu Zihan , Lin Youtian , Wang Yuling
Published: October 2022

Empathy is essential for human survival and social interaction. Although mindfulness-based interventions (MBIs) have been used to improve empathy in healthy populations, its therapeutic efficacy remains unknown. This study aims to investigate the therapeutic effects of MBIs on empathy in a healthy population and the potential factors affecting the efficacy of MBIs. The literature search focused on PubMed, Embase, Web of Science, Cochrane Library, and CNKI from inception to September 2022. Randomized controlled trials and quasi-experimental studies reporting the effects of using MBIs on empathy in healthy populations were included. A total of 13 studies were included in this review. Results of the meta-analysis showed that MBIs improved empathy (SMD, 0.372, 95% CI, 0.164–0.579, p = 0.001) in the healthy population compared with that in the control group. Moreover, results of the subgroup analysis showed that intervention dose (over 24 h vs. under 24 h), format (online vs. offline), and types (different types) were important factors affecting treatment outcomes. This comprehensive review suggests that MBIs are effective treatment for empathy in healthy population. Future research should markedly focus on large-sample, rigorously designed experiments to explore the long-term effects of MBIs on empathy and to elucidate the underlying mechanisms of MBIs. This study provides a reference for the daily application of MBIs.
Borderline personality disorder traits and mentalising ability: The self-other social cognition paradox
Authors: Kelly Grealy Molly , Godfrey Emmet , Brady Finn , Whyte O’Sullivan Erin , Carroll Grace A. , Burke Tom
Published: October 2022

Objective

Borderline personality disorder (BPD) is a psychiatric condition characterised by a pervasive pattern of impulsivity, low self-image, and interpersonal conflicts. Previous findings indicate a mixed relationship between BPD and social cognition; little research as investigated whether BPD traits influence performance on specific elements of social cognitive tasks, i.e., positive/negative valence.

Method

Community-based typical controls (n = 151; 51% female) were recruited through an online survey. Participants completed aspects of the Personality Assessment Inventory pertaining to BPD traits, the Interpersonal Reactivity Index, and measures of both emotion recognition and mentalising.

Results

Following group stratification into high/low BPD traits, participants with high BPD traits were observed to perform significantly better when identifying negative valence stimuli. Furthermore, high levels of affect instability was found to significantly influence negative valence recognition.

Conclusion

This research highlights previous research which shows a paradox between higher performance on measures of social cognition, with a group of individuals who report significant interpersonal and relational difficulties. This research supports the assessment of social cognitive processes for people with BPD and/or high BPD traits to support clinical formulation of strengths and difficulties.
Overcoming mental health stigma through student’s awareness and project-based inclusive pedagogy in English teaching colleges: Moderating role of institutional support in China
Authors: Gao Yuan
Published: October 2022

Mental health stigma undermines collaborative work and creates communication breakdowns for students to face real-world challenges. Moreover, project-based English learning in East-Asian nations is a significant challenge for advancing students’ effective learning, while students lack mental health self-awareness. Unawareness causes distractions and results in learning inefficiencies. Furthermore, without institutional support (IS) achieving effective learning could never be possible. Therefore, this study investigates the relationships between project-based learning (PBL) and mental health awareness (MHA) with effective English language teaching among university students in China. We also tested the moderation effect of IS in the relationships between PBL and MHA with effective English language learning (EEL). Using the purposive sampling technique, we collected valid responses from 713 students studying English as a foreign language in universities and colleges in Harbin, China. The findings interestingly supported the direct hypotheses between PBL and EEL, as well as MHA and EEL. Moreover, the moderating role of IS established a significant effect on both PBL and EEL, as well as MHA and EEL, respectively. Policymakers, practitioners, and academicians should understand that integrating PBL as an inclusive pedagogy method with proper IS may enhance effective learning; however, it will consume more time.
Stakeholder perceptions of lethal means safety counseling: A qualitative systematic review
Authors: Khazanov Gabriela Kattan , Keddem Shimrit , Hoskins Katelin , Myhre Karoline , Sullivan Sarah , Mitchell Emily , Holliman Brooke Dorsey , Landes Sara J. , Simonetti Joseph
Published: October 2022

Introduction

Lethal means safety counseling (LMSC) is an evidence-based suicide prevention intervention during which providers encourage patients to limit their access to lethal means (e.g., firearms, medications). Despite agreement about the importance of LMSC, it is underutilized in clinical practice.

Methods

To better understand the individual and contextual factors that influence LMSC and its implementation, we conducted a systematic review of qualitative studies examining stakeholder perceptions of the intervention. PubMed and PsycInfo were searched up to February 2021 using terms related to: (1) LMSC, firearms, or medications; (2) suicide, safety, or injury; and (3) qualitative methodology. Two coders used thematic synthesis to analyze findings from eligible papers, including developing a codebook and coding using an inductive and iterative approach (reliability k > 0.70). Confidence in review findings were evaluated using the Confidence in the Evidence from Reviews of Qualitative Research (CERQual) Approach. Subthemes were assigned to domains in the Consolidated Framework for Implementation Research.

Findings

Of the 19 papers identified, 18 discussed LMSC for firearms and 1 focused exclusively on LMSC for medications. The firearm-related studies explored perspectives of a variety of stakeholders (patients, providers, members of the firearms community, healthcare leaders, and family members) across multiple settings (emergency departments, pediatric and adult primary care, and outpatient mental health). Seven overarching themes emerged, including the: (1) importance of firearms to owners’ identities and perceptions of ownership as a value and right, which can lead to perceived cultural tensions in clinical settings; (2) importance of patients understanding the context and rationale for LMSC; (3) value of providers showing cultural competency when discussing firearms; (4) influence of safety and risk beliefs on firearm behaviors; (5) need to navigate logistical concerns when implementing LMSC; (6) value of individualizing LMSC; (7) potential for trusted family members and friends to be involved in implementing LMSC.

Conclusion

This synthesis of the qualitative literature informs clinical, operational, and research endeavors aimed at increasing the reach and effectiveness of LMSC. Future research should address the perspectives of individuals underrepresented in the literature (e.g., those from racial/ethnic minority groups) and further examine stakeholders’ perceptions of LMSC for medication. [-2pt]

Systematic review registration

[https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021237515], identifier [CRD42021237515].
Vector maps and spatial autocorrelation of carbon emissions at land patch level based on multi-source data
Authors: Zhang Xiaoping , Liao Qinghua , Zhao Hu , Li Peng
Published: October 2022

An accurate carbon emissions map is of great significance for urban planning to reduce carbon emissions, mitigate the heat island effect, and avoid the impact of high temperatures on human health. However, little research has focused on carbon emissions maps at the land patch level, which makes poor integration with small and medium-sized urban planning based on land patches. In this study, a vectorization method for spatial allocation of carbon emissions at the land patch level was proposed. The vector maps and spatial autocorrelation of carbon emissions in Zhangdian City, China were explored using multi-source data. In addition, the differences between different streets were analyzed, and the carbon emissions ratio of the land patch was compared. The results show that the vector carbon emissions map can help identify the key carbon reduction land patches and the impact factors of carbon emissions. The vector maps of Zhangdian City show that in 2021, the total carbon emissions and carbon absorptions were 4.76 × 109kg and 4.28 × 106kg respectively. Among them, industrial land accounted for 70.16% of carbon emissions, mainly concentrated in three industrial towns. Forest land carbon absorption accounted for 98.56%, mainly concentrated in the peripheral streets away from urban areas. The Moran's I of land patch level carbon emissions was 0.138, showing a significant positive spatial correlation. The proportion of land patches is an important factor in determining carbon emissions, and the adjustment of industrial structure is the most critical factor in reducing carbon emissions. The results achieved can better help governments develop different carbon reduction strategies, mitigate the heat island effect, and support low-carbon and health-oriented urban planning.
The paradigm and future value of the metaverse for the intervention of cognitive decline
Authors: Zhou Hao , Gao Jian-Yi , Chen Ying
Published: October 2022

Cognitive decline is a gradual neurodegenerative process that is affected by genetic and environmental factors. The doctor-patient relationship in the healthcare for cognitive decline is in a “shallow” medical world. With the development of data science, virtual reality, artificial intelligence, and digital twin, the introduction of the concept of the metaverse in medicine has brought alternative and complementary strategies in the intervention of cognitive decline. This article technically analyzes the application scenarios and paradigms of the metaverse in medicine in the field of mental health, such as hospital management, diagnosis, prediction, prevention, rehabilitation, progression delay, assisting life, companionship, and supervision. The metaverse in medicine has made primary progress in education, immersive consultation, dental disease, and Parkinson's disease, bringing revolutionary prospects for non-pharmacological complementary treatment of cognitive decline and other mental problems. In particular, with the demand for non-face-to-face communication generated by the global COVID-19 epidemic, the needs for uncontactable healthcare service for the elderly have increased. The paradigm of self-monitoring, self-healing, and healthcare experienced by the elderly through the metaverse in medicine, especially from meta-platform, meta-community, and meta-hospital, will be generated, which will reconstruct the service modes for the elderly people. The future map of the metaverse in medicine is huge, which depends on the co-construction of community partners.
Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects
Authors: Kamran Muhammad , Ullah Barkat , Ahmad Mahmood , Sabri Mohanad Muayad Sabri
Published: October 2022

The rockburst phenomenon is the major source of the high number of casualties and fatalities during the construction of deep underground projects. Rockburst poses a severe hazard to the safety of employees and equipment in subsurface mining operations. It is a hot topic in recent years to examine and overcome rockburst risks for the safe installation of deep urban engineering designs. Therefore, for a cost-effective and safe underground environment, it is crucial to determine and predict rockburst intensity prior to its occurrence. A novel model is presented in this study that combines unsupervised and supervised machine learning approaches in order to predict rockburst risk. The database for this study was built using authentic microseismic monitoring occurrences from the Jinping-II hydropower project in China, which consists of 93 short-term rockburst occurrences with six influential features. The prediction process was succeeded in three steps. Firstly, the original rockburst database's magnification was reduced using a state-of-the-art method called isometric mapping (ISOMAP) algorithm. Secondly, the dataset acquired from ISOMAP was categorized using the fuzzy c-means algorithm (FCM) to reduce the minor spectral heterogeneity impact in homogenous areas. Thirdly, K-Nearest neighbor (KNN) was employed to anticipate different levels of short-term rockburst datasets. The KNN's classification performance was examined using several performance metrics. The proposed model correctly classified about 96% of the rockbursts events in the testing datasets. Hence, the suggested model is a realistic and effective tool for evaluating rockburst intensity. Therefore, the proposed model can be employed to forecast the rockburst risk in the early stages of underground projects that will help to minimize casualties from rockburst.
Detection algorithm for pigmented skin disease based on classifier-level and feature-level fusion
Authors: Wan Li , Ai Zhuang , Chen Jinbo , Jiang Qian , Chen Hongying , Li Qi , Lu Yaping , Chen Liuqing
Published: October 2022

Pigmented skin disease is caused by abnormal melanocyte and melanin production, which can be induced by genetic and environmental factors. It is also common among the various types of skin diseases. The timely and accurate diagnosis of pigmented skin disease is important for reducing mortality. Patients with pigmented dermatosis are generally diagnosed by a dermatologist through dermatoscopy. However, due to the current shortage of experts, this approach cannot meet the needs of the population, so a computer-aided system would help to diagnose skin lesions in remote areas containing insufficient experts. This paper proposes an algorithm based on a fusion network for the detection of pigmented skin disease. First, we preprocess the images in the acquired dataset, and then we perform image flipping and image style transfer to augment the images to alleviate the imbalance between the various categories in the dataset. Finally, two feature-level fusion optimization schemes based on deep features are compared with a classifier-level fusion scheme based on a classification layer to effectively determine the best fusion strategy for satisfying the pigmented skin disease detection requirements. Gradient-weighted Class Activation Mapping (Grad_CAM) and Grad_CAM++ are used for visualization purposes to verify the effectiveness of the proposed fusion network. The results show that compared with those of the traditional detection algorithm for pigmented skin disease, the accuracy and Area Under Curve (AUC) of the method in this paper reach 92.1 and 95.3%, respectively. The evaluation indices are greatly improved, proving the adaptability and accuracy of the proposed method. The proposed method can assist clinicians in screening and diagnosing pigmented skin disease and is suitable for real-world applications.
Better future with better us: Exploring young people's energy-saving behavior based on norm activation theory
Authors: Si Hongyun , Yu Ze , Jiang Qi , Shu Yimeng , Hua Wenwen , Lv Xiaoyan
Published: October 2022

Conserving energy use is a shared responsibility of all people, and it is essential for mitigating climate warming. The purpose of this study is to investigate energy-saving behaviors and the influencing factors of young people. We developed a new theoretical framework by adding self-efficacy and information publicity to norm activation theory. Partial least squares structural equation modeling was used to analyze 360 sample data from different regions in China. The findings show that attribution of responsibility and awareness of consequence are important prerequisites for personal norm. Personal norm positively influences energy-saving intention. Interestingly, information publicity has a significant positive effect on both intention and behavior to save energy, while self-efficacy only significantly affects energy-saving intention. This study focuses on the young group and enriches the research on factors influencing residents' energy-saving behaviors. The findings provide insightful ideas for governments and communities to guide individual energy conservation behaviors.
A visualized and scientometric analysis of research trends of weight loss in overweight/obese children and adolescents (1958–2021)
Authors: Sun Guotao , Li Long , Zhang Xiaolin
Published: October 2022

Background

Weight loss is an appropriate approach to reduce the health risks associated with overweight/obese children and adolescents, and the optimal method of weight loss requires further research. This study systematically explores scientific co-operation, disciplinary interaction, hotspots and trends in the field of weight loss in overweight/obese children and adolescents (WLOCA), and provides references for further research.

Methods

Citespace 5.8.R1 (64-bit) was adopted to conduct a comprehensive visualization analysis of the literature on WLOCA from Web of Science Core Collection, including publication, institution, country/region, author, journal, keywords and reference.

Results

2,513 papers were found in the Web of Science Core Collection, and the annual number of papers published has increased significantly since 2003. Cincinnati Children's Hospital is the institution with the largest number of publications, while Washington University plays a pivotal role in the collaboration network. In terms of nations, USA has made greater contributions than the rest in terms of the number of publications and global co-operation research. The most influential authors in this field are Thomas H. Inge, Thomas Reinehr, Todd M. Jenkins, Epstein LH, Ogden CL, etc. The most active journals are “Obesity,” “International Journal of Obesity,” “Obesity Surgery,” “Pediatrics,” etc. which are characterized by interdisciplinary interactions. Research hot topics mainly include “assessment of obesity and pathophysiological mechanism,” “comprehensive intervention,” and “bariatric surgery,” and there's a gradual shift from “lifestyle intervention” and “pathophysiological mechanism” to “clinical surgical application.” In addition, disciplinary integration and comprehensive research, targeted intervention and treatment, and prospective research are the future research trends.

Conclusion

The overall trend in WLOCA study is positive. The main contribution of this study is to reveal the overall picture of the research in this field with visual maps and detailed data by combining quantitative with qualitative approaches, which can provide valuable references for relevant researchers to quickly understand the status of studies on WLOCA, to seek co-operation, and grasp research hotspots and frontier trends.
Sensitivity analysis of rapid antigen tests for the Omicron SARS-CoV-2 variant detection from nasopharyngeal swab samples collected in Santiago of Chile
Authors: Barrera-Avalos Carlos , Mena Javier , Luraschi Roberto , Rojas Patricio , Mateluna-Flores Carlos , Vallejos-Vidal Eva , Imarai Mónica , Sandino Ana María , Valdés Daniel , Vera Rodrigo , Hernández Iván , Reyes-López Felipe E. , Acuña-Castillo Claudio
Published: October 2022

The COVID-19 pandemic continues to be a concern and keeps global health authorities on alert. The RT-PCR technique has been the gold-standard assay for detecting the SARS-CoV-2 virus. However, rapid antigen tests (RATs) have been widely used to increase the number of tests faster and more efficiently in the population. Nevertheless, the appearance of new viral variants, with genomic mutations associated with greater contagiousness and immune evasion, highlights the need to evaluate the sensitivity of these RATs. This report evaluates the sensitivity of SD Biosensor-Roche, Panbio™, and Clinitest® RATs widely used in Santiago de Chile in the detection of the Omicron variant from Nasopharyngeal samples (NPSs), the most predominant SARS-CoV-2 variant in Chile and the world. SD Biosensor-Roche shows a detection sensitivity of 95.7% in the viral amplification range of 20 ≤ Cq < 25, while Panbio™ and Clinitest® show 100% and 91.3%, respectively. In the viral amplification ranges of 25 ≤ Cq < 30, the detection sensitivity decreased to 28% for SD Biosensor-Roche, 32% for Panbio™, and 72% for Clinitest®. This study indicates that the tested RATs have high sensitivity in detecting the Omicron variant of concern (VOC) at high viral loads. By contrast, its sensitivity decreases at low viral loads. Therefore, it is suggested to limit the use of RATs as an active search method, considering that infections in patients are increasingly associated with lower viral loads of SARS-CoV-2. These antecedents could prevent contagion outbreaks and reduce the underestimation of the current Omicron variant circulation at the local level.
Emotional analysis of evaluation discourse in business English translation based on language big data mining of public health environment
Authors: Liu Song , Chen Yukun , Xu Kunpei , Lin Jiaxin
Published: October 2022

Purpose

This paper conducts sentiment analysis on the evaluation discourse of business English translation based on language big data mining of public health environment, and aims to find a reasonable algorithm to conduct detailed research on all aspects of sentiment analysis.

Methodology

This paper focuses on three areas of sentiment information, extraction, sentiment information retrieval, and sentiment information submission, using scale analysis and feedback analysis, combined with related algorithms of big data mining technology, such as decision trees and clustering algorithms, through the level of emotional words appearing in the corpus, phrase-level, text-level, etc., and combine the text model with the combined reliability to output the evaluation object and evaluation feature separately, and propose an evaluation method to calculate the sensitivity of the evaluation feature, so as to accurately improve the sensitivity of the evaluation feature. It is mainly divided into two categories for data analysis. One is to focus on the public health environment of the characteristics of business English translation itself, and the other is to conduct research on the application of big data mining in the evaluation of translation discourse.

Research findings

The research data show that the smallest gap between the sentiment orientation of the discourse evaluation perspective is the output of the language discourse, and the smallest gap in the attributes of the evaluation object is at the phrase level, and the gap value is 3.5; for the evaluation object, the maximum difference is 3.4.

Research implications

With the development of science and technology and the economy, the public health environment has become more and more complex, and business English translation has received more and more attention. The sentiment analysis of evaluation discourse in this field is a means of expressing language characteristics. In order to enrich research in this field, the study of this article is necessary.

Practical implications

This study has a deeper understanding of the affective analysis of evaluation discourse in public health environment business English translation. The clustering algorithm of big data mining technology applied can provide an important guarantee for the actual conclusion of this research and quantitative analysis of the positive evaluation and criticism of evaluation. To solve the various problems encountered in translation, so as to improve the translator's own translation level, and promote the research of translation methods in Chinese translation.