bluuebunny/crossref_metadata_2025 huggingface dataset:
What a difference a syllable makes—Rhythmic reading of poetry
Authors: Beck Judith , Konieczny Lars
Published: February 2023

In reading conventional poems aloud, the rhythmic experience is coupled with the projection of meter, enabling the prediction of subsequent input. However, it is unclear how top-down and bottom-up processes interact. If the rhythmicity in reading loud is governed by the top-down prediction of metric patterns of weak and strong stress, these should be projected also onto a randomly included, lexically meaningless syllable. If bottom-up information such as the phonetic quality of consecutive syllables plays a functional role in establishing a structured rhythm, the occurrence of the lexically meaningless syllable should affect reading and the number of these syllables in a metrical line should modulate this effect. To investigate this, we manipulated poems by replacing regular syllables at random positions with the syllable “tack”. Participants were instructed to read the poems aloud and their voice was recorded during the reading. At the syllable level, we calculated the syllable onset interval (SOI) as a measure of articulation duration, as well as the mean syllable intensity. Both measures were supposed to operationalize how strongly a syllable was stressed. Results show that the average articulation duration of metrically strong regular syllables was longer than for weak syllables. This effect disappeared for “tacks”. Syllable intensities, on the other hand, captured metrical stress of “tacks” as well, but only for musically active participants. Additionally, we calculated the normalized pairwise variability index (nPVI) for each line as an indicator for rhythmic contrast, i.e., the alternation between long and short, as well as louder and quieter syllables, to estimate the influence of “tacks” on reading rhythm. For SOI the nPVI revealed a clear negative effect: When “tacks” occurred, lines appeared to be read less altering, and this effect was proportional to the number of tacks per line. For intensity, however, the nPVI did not capture significant effects. Results suggests that top-down prediction does not always suffice to maintain a rhythmic gestalt across a series of syllables that carry little bottom-up prosodic information. Instead, the constant integration of sufficiently varying bottom-up information appears necessary to maintain a stable metrical pattern prediction.
The influence of target layout and target graphic type on searching performance based on eye-tracking technology
Authors: Zuo Yaxue , Qi Jin , Fan Zhijun , Wang Zhenya , Xu Huiyun , Wang Shurui , Zhang Nieqiang , Hu Jie
Published: February 2023

With the development of various intelligent technologies, the application of interactive interfaces is becoming more and more widespread, and the related researches conducted for interactive interfaces are also increasing. The purpose of this study was to explore the influence of icon layout location, icon graphic type, and icon layout method on users’ searching performance in interactive interfaces through eye-tracking technology. Participants were asked to perform search tasks for the search target (facet icon or linear icon) on each image. Thus, each trial consisted of a search task on a given image. In total, each participant had 36 trials to complete. Searching time, fixation duration, and fixation count were collected to evaluate the searching performance of participants. Results showed that when faced with familiar icons, whether the graphic type of icons was facet or linear did not affect the user’s experience, but when other factors of the interaction interface changed, facet icons provided a more stable experience for users. And compared to the rectangular layout, the circular layout method provided a more stable experience for users when the location of icons in the interactive interface changed, but icons located in the top half of the interactive interface were easier to find than those located in the bottom half, regardless of whether the layout was circular or rectangular. These results could be used in the layout and icon design of the interactive interfaces to facilitate their optimization.
Passionately demanding: Work passion’s role in the relationship between work demands and affective well-being at work
Authors: Cabrita Catarina , Duarte Ana Patrícia
Published: February 2023

In a world marked by exponential change, work demands are intensifying and becoming increasingly prominent in organizations’ reality. Work demands are stressors for the employees who must deal with these requests as they bring with them costs. Promoting these workers’ well-being at work is important as their level of comfort is closely related to how they will behave in the workplace. In this context, work passion is a fundamental factor in employees’ daily motivation to work well. This study tested a new approach to work demands, distinguishing between challenges and obstacles, exploring how they influence affective well-being at work when work passion is part of the equation. Individual workers also participate in how demands are formulated, which affects their level of well-being at the workplace. Data were collected with an online questionnaire administered to a sample of 515 participants who had been working in the same organization for at least 6 months. The results of multiple regression analysis show that the way demands are revealed influences what kind of work passion predominates and thus how much workers’ well-being at work is altered. Harmonious passion emerges as a personal resource that has the power to prevent negative affective states related to work from developing, while obsessive passion ends up putting even more demands on employees and having a stronger negative association with their affective well-being in the workplace.
Mental representation of climate-relevant behaviours: Confirmatory testing of similarity patterns obtained in a card sorting task by young adults
Authors: Seebauer Sebastian , Ellmer Hans Peter
Published: February 2023

Efforts to promote climate-friendly consumption need to address groups of interrelated behaviours; however, experts and laypeople have different perspectives on which climate-relevant behaviours belong together. Understanding laypeople’s mental representations, or the perceived similarity of behaviours, may provide orientation on which behaviours should be promoted in concert in order to communicate comprehensibly and to catalyse spillover. The present study uses data on perceived similarity between 22 climate-relevant behaviours collected from 413 young adults in Austria in an open card sorting task. Five posited categorisations by domain, location, impact, difficulty, and frequency are tested in a confirmatory approach for their fit with the observed similarity patterns. By analysing co-occurrence matrices, edit distances and similarity indices, the best fit is found for the null hypothesis of random assignment. Ranking by test statistics shows that the domain categorisation fits next best, followed by impact, frequency, difficulty, and location. The categories of waste and advocacy behaviours emerge consistently in lay mental representations. The categories of behaviours with a high carbon footprint and difficult behaviours that are performed by few other people stand out from other, less extreme behaviours. Categorisation fit is not moderated by personal norms, stated competencies, and environmental knowledge. The analytical approaches for confirmatory testing of expected categorisations against observed similarity patterns may be applied to analyse any card sorting data.
A new stock market analysis method based on evidential reasoning and hierarchical belief rule base to support investment decision making
Authors: Chen Yujia , Liu Jiangdan , Gao Yanzi , He Wei , Li Hongyu , Zhang Guangling , Wei Hongwei
Published: February 2023

Stock market analysis is helpful for investors to make reasonable decisions and maintain market stability, and it usually involves not only quantitative data but also qualitative information, so the analysis method needs to have the ability to deal with both types of information comprehensively. In addition, due to the inherent risk of stock investment, it is necessary to ensure that the analysis results can be traced and interpreted. To solve the above problems, a stock market analysis method based on evidential reasoning (ER) and hierarchical belief rule base (HBRB) is proposed in this paper. First, an evaluation model is constructed based on expert knowledge and ER to evaluate stock market sentiment. Then, a stock market decision model based on HBRB is constructed to support investment decision making, such as buying and selling stocks and holding positions. Finally, the Shanghai Stock Index from 2010 to 2019 is used as an example to verify the applicability and effectiveness of the proposed stock market analysis method for investment decision support. Experimental research demonstrates that the proposed method can help analyze the stock market comprehensively and support investors to make investment decisions effectively.
The facilitation of constructional meaning in the processing of Mandarin innovative Bei construction
Authors: Liao Qiaoyun , Weng Xin , Dong Chao , Zhang Yuxin
Published: February 2023

The processing of Mandarin innovative Bei construction in the form of “Bei + X” is different from that of the traditional Bei construction in that the former activates the constructional meaning which is intrinsically negative. This study thus investigates whether the processing of Mandarin innovative Bei construction is facilitated by the access of such emergent negative associations in a self-paced reading experiment with a priming paradigm. In this study, participants firstly read lexical primes in three conditions including construction-related phrases (i.e. phrases expressing the negative constructional meaning of the innovative Bei construction), component-related phrases (i.e. phrases expressing the partial literal meaning of the innovative Bei construction), and unrelated phrases (i.e. phrases expressing unrelated meaning to the innovative Bei construction). They then read sentences where the innovative Bei construction was fitted into and finally answered questions. Results showed that the lexical primes conveying the constructional meaning of the innovative Bei construction significantly shortened participants’ reading time duration as compared with another two priming conditions. To conclude, the processing of Mandarin innovative Bei construction is facilitated by the priming of its constructional meaning, which provides some psychological evidence for the construction-based processing of Mandarin innovative Bei construction.
Non-suicidal self-injury: A bibliometrics study and visualization analysis from 2002 to 2022
Authors: Dong Xiangli , Zou Yuchen , Zou Qing , Zhao Na , Li Shilin , Liu Guanxiu , Hu Maorong , Sun Weiming
Published: February 2023

Objective

To overview the research actuality and offer the hotspots and cutting-edge issues in the field of Non-suicidal Self-injury (NSSI) by using bibliometric analysis.

Materials and methods

Publications related to NSSI from 2002 to 2022 were extracted from the Web of Science Core Collection (WoSCC) database. CiteSpace V 6.1.R2 and VOSviewer 1.6.18 were used to visually analyzed institutions, countries, journals, authors, references, and keywords in research on NSSI.

Results

A total of 799 studies about NSSI were analyzed via CiteSpace and VOSviewer. The number of annual publications related to NSSI is fluctuating growth. The USA and Harvard University are the most productive country and institutions. In the case of journals and co-cited journals, Psychiatry Research are the most productive journal and also ranked highest among co-cited journals. Furthermore, Michael Kaess has published the most publications, and Matthew K. Nock is the most cited author. An article published by Swannell SV et al. shows the highest citation counts. After analysis, the most common keywords are harm, adolescents and prevalence. The gender difference, diagnosis, and dysregulation are frontier areas of NSSI research.

Conclusion

This study analyzed the research of NSSI from multiple perspectives, and provides valuable information for researchers to capture the current status, hot spots, and frontier trends of NSSI.
Detecting depression of Chinese microblog users via text analysis: Combining Linguistic Inquiry Word Count (LIWC) with culture and suicide related lexicons
Authors: Lyu Sihua , Ren Xiaopeng , Du Yihua , Zhao Nan
Published: February 2023

Introduction

In recent years, research has used psycholinguistic features in public discourse, networking behaviors on social media and profile information to train models for depression detection. However, the most widely adopted approach for the extraction of psycholinguistic features is to use the Linguistic Inquiry Word Count (LIWC) dictionary and various affective lexicons. Other features related to cultural factors and suicide risk have not been explored. Moreover, the use of social networking behavioral features and profile features would limit the generalizability of the model. Therefore, our study aimed at building a prediction model of depression for text-only social media data through a wider range of possible linguistic features related to depression, and illuminate the relationship between linguistic expression and depression.

Methods

We collected 789 users’ depression scores as well as their past posts on Weibo, and extracted a total of 117 lexical features via Simplified Chinese Linguistic Inquiry Word Count, Chinese Suicide Dictionary, Chinese Version of Moral Foundations Dictionary, Chinese Version of Moral Motivation Dictionary, and Chinese Individualism/Collectivism Dictionary.

Results

Results showed that all the dictionaries contributed to the prediction. The best performing model occurred with linear regression, with the Pearson correlation coefficient between predicted values and self-reported values was 0.33, the R-squared was 0.10, and the split-half reliability was 0.75.

Discussion

This study did not only develop a predictive model applicable to text-only social media data, but also demonstrated the importance taking cultural psychological factors and suicide related expressions into consideration in the calculation of word frequency. Our research provided a more comprehensive understanding of how lexicons related to cultural psychology and suicide risk were associated with depression, and could contribute to the recognition of depression.
Therapeutic effect of psilocybin in addiction: A systematic review
Authors: van der Meer Pim B. , Fuentes Juan J. , Kaptein Ad A. , Schoones Jan W. , de Waal Marleen M. , Goudriaan Anneke E. , Kramers Kees , Schellekens Arnt , Somers Metten , Bossong Matthijs G. , Batalla Albert
Published: February 2023

Background

Psychedelic-assisted therapy [e.g., with lysergic acid diethylamide (LSD)] has shown promising results as treatment for substance use disorders (SUDs). Previous systematic reviews assessing the efficacy of psilocybin in SUDs only included clinical trials conducted in the last 25 years, but they may have missed clinical trials assessing the efficacy of psilocybin that were conducted before the 1980s, given much research has been done with psychedelics in the mid-20th century. In this systematic review, we specifically assessed the efficacy of psilocybin in patients with a SUD or non-substance-related disorder with no publication date restrictions in our search strategy.

Methods

A systematic literature search was performed according to Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines from the earliest published manuscript up to September 2, 2022, in seven electronic databases, including clinical trials in patients with a SUD or non-substance-related disorder evaluating the efficacy of psilocybin.

Results

A total of four studies (six articles, of which two articles were long-term follow-up results from the same trial) were included in this systematic review. Psilocybin-assisted therapy was administered to n = 151 patients in a dose ranging from 6 to 40 mg. Three studies focused on alcohol use disorder, and one study on tobacco use disorder. In a pilot study (n = 10), the percentage of heavy drinking days decreased significantly between baseline and weeks 5–12 (mean difference of 26.0, 95% CI = 8.7–43.2, p = 0.008). In another single-arm study (n = 31), 32% (10/31) became completely abstinent from alcohol (mean duration of follow-up 6 years). In a double-blind, placebo-controlled randomized controlled trial (RCT, n = 95), the percentage of heavy drinking days during the 32-week double-blind period was significantly lower for psilocybin compared to placebo (mean difference of 13.9, 95% CI = 3.0–24.7, p = 0.01). In a pilot study (n = 15), the 7-day point prevalence of smoking abstinence at 26 weeks was 80% (12/15), and at 52 weeks 67% (10/15).

Conclusion

Only one RCT and three small clinical trials were identified assessing the efficacy of psilocybin combined with some form of psychotherapy in patients with alcohol and tobacco use disorder. All four clinical trials indicated a beneficial effect of psilocybin-assisted therapy on SUD symptoms. Larger RCTs in patients with SUDs need to evaluate whether psilocybin-assisted therapy is effective in patients with SUD.
Electronic health records in nursing from 2000 to 2020: A bibliometric analysis
Authors: Luan Ze , Zhang Zhiru , Gao Yanan , Du Shiyuan , Wu Nan , Chen Yulu , Peng Xin
Published: February 2023

Background

Electronic health records (EHR) is the longitudinal data generated by patients in medical institutions and recorded by electronic medical information systems in the form of digital, which is also the most widespread application of big data in medicine. The purpose of this study was to explore the application of electronic health records in the field of nursing and determine the current research status and hotspots.

Methods

A bibliometric analysis of electronic health records in nursing was undertaken from 2000 to 2020. The literature comes from Web of Science Core Collection database. We used CiteSpace (version 5.7 R5; Drexel University), which is a Java-based software that especially visualized collaborative networks and research topics.

Results

A total of 2616 publications were included in the study. We found that publications increased year by year. The Journal of American Medical Informatics Association (n = 921) is the most cited. The United States (n = 1,738) has the most publications in this field. University Penn (n = 63) is the institution with the most publications. There is no influential cooperation network among the authors, of which Bates, David W (n = 12) have the largest number of publications. The relevant publications also focus on the fields of health care science and services, and medical informatics. In keywords, EHR, long-term care, mobile application, inpatient falls, and advance care planning has been researching hotspots in recent years.

Conclusion

With the popularization of information systems, the publications of EHR in the nursing field have increased year by year. This study provides the basic structure, potential cooperation, and research trends of EHR in the field of nursing from 2000 to 2020, and provides a reference for nurses to effectively use EHR to help clinical work or scientific researchers explore the potential significances of EHR.
The political economy of the African pharmaceutical sector's “industrial underdevelopment” lock-in: The importance of understanding the impact of persistent colonial extractive institutions
Authors: Banda Geoffrey
Published: February 2023

Improved African pharmaceutical manufacturing has been on global and local agendas since the 1970s, yet the industry has been locked-in into low technologies for decades. What caused the technological and industrial stagnation for such a critical sector for local and global health security? What are the political economy roots of such long-running industrial underdevelopment lock-in? What do colonial extractive economic and political institutions and their setup and mixes have to do with the sector? This study considers how extractive economic and political institutions' architectures and infrastructures shaped the African pharmaceutical industry's underdevelopment. We argue that extractive economic and political institutions shaped contemporary institutions in former colonial countries, and these institutions persist for a long time. The pivotal argument of innovation systems is that technological change-driven innovation is important for building superior economic performance and competitiveness, and institutions are a vital component of the system. However, institutions are not value-neutral; they carry the political and economic objectives and aspirations of the agents who design them. Innovation systems theory needs to incorporate the analysis of extractive economic and political institutions and the role they played in locking-in the African pharmaceutical industries into underdevelopment.
Towards de-dairyfication of the diet?—Consumers downshifting milk, yet justifying their dairy pleasures
Authors: Autio Minna , Sekki Sanna , Autio Jaakko , Peltonen Katja , Niva Mari
Published: February 2023

Currently, the consumption of liquid milk in Western European countries and the US is declining. At the same time, the consumption of other dairy products, including cheese and sour-milk products, is increasing. Dairy production, along with meat production, is one of the main food sources of greenhouse gases, which cause climate change. Thus, the transition toward more sustainable diets requires a reduction in the consumption of both meat and dairy products. Consumers who do not use milk (e.g., vegans) have received more scholarly attention compared to those who are reducing milk consumption. Our study focuses on Finnish consumers who have reduced the use of cow's milk but have not abandoned dairy entirely. Through qualitative data, we analyze how consumers on the one hand narrate their detachment from using milk and on the other hand justify their ongoing use of dairy products. The results show that consumers began their dietary change by first reducing meat eating, followed by milk. For the consumers, cheese eating was a source of enjoyment that was difficult to resist and to replace with plant-based alternatives, even though they were aware of the animal suffering caused by milk production. Consumers recognized the interdependence between meat and milk production and consumption, yet, at the level of everyday practices, giving up milk proved to be more challenging than giving up meat. We argue that the declining use of fluid milk contributes to the de-dairyfication of eating habits, but obstacles remain in reducing the consumption of other dairy products.
Decisional support needed when facing tough decisions: Survey of parents with children having differences of sex development
Authors: Gardner Melissa , Brinkman William B. , Carley Meg , Liang Noi , Lightfoot Sophie , Pinkelman Kendra , Speiser Phyllis W. , Schafer-Kalkhoff Tara , Suorsa-Johnson Kristina I. , VanderBrink Brian , Weidler Erica M. , Wisniewski Jessica , Stacey Dawn , Sandberg David E.
Published: February 2023

Introduction

Parents of infants and young children newly diagnosed with differences of sex development (DSD) commonly face medical and psychosocial management decisions at a time when they are first learning about the condition and cannot consult their child for input. The aim of this study was to identify areas of greatest need for parental decisional support.

Methods

34 parents of children receiving care for DSD at one of three US children’s hospitals participated in a survey to learn what clinical and psychosocial decisions needed to be made on behalf of their child. Parents were then asked to identify and focus on a “tough” decision and respond to questions assessing factors affecting decision-making, decision-making preferences, decisional conflict, and decision regret. Descriptive analyses were conducted.

Results

Decisions about surgery and aspects of sharing information about their child’s condition with others were the two most frequently reported decisions overall, experienced by 97% and 88% of parents, as well as most frequently nominated as tough decisions. Many parents reported mild to moderate levels of decisional conflict (59%) and decision regret (74%). Almost all parents (94%) reported experiencing at least one factor as interfering with decision-making (e.g., “worried too much about choosing the ‘wrong’ option”). Parents universally reported a desire to be involved in decision-making – preferably making the final decision primarily on their own (79%), or together with their child’s healthcare providers (21%). The majority of parents judged healthcare providers (82%) and patient/family organizations (58%) as trustworthy sources of information.

Discussion

Parents of children with DSD encounter medical, surgical, and psychosocial management decisions. Despite difficulties including emotional distress and informational concerns (including gaps and overload), parents express strong desires to play key roles in decision-making on behalf of their children. Healthcare providers can help identify family-specific needs through observation and inquiry in the clinical context. Together with families, providers should focus on specific clinical management decisions and support parental involvement in making decisions on behalf of young children with DSD.
Influences on water source selection and use among women in rural Odisha, India
Authors: Patrick Madeleine , Hennink Monique , Dasmohapatra Munmun , Rout Manaswini , Clasen Thomas , Caruso Bethany A.
Published: February 2023

Introduction

Water is a crucial resource for many household functions, including drinking, cooking, bathing, and washing clothes. Globally, women bear the burden of water collection in households without piped water, as well as responsibility for household chores that require water. Carrying water has a number of health and safety risks, and women often rely on multiple water sources. The goal of this study is to understand how women in rural Odisha, India, an area with high coverage of improved water sources, make decisions on where to collect water.

Methods

This is a grounded-theory, secondary analysis of qualitative data collected from 69 women across life stages in eight villages in rural Odisha. Women were asked about their concerns and difficulties related to water and probed for details in a variety of contexts, including at night, during monsoon season, and during pregnancy.

Results

Women's standards for water quality vary depending on the planned use of the water. They report a willingness to travel long distances to collect better tasting water for cooking and drinking. When washing clothes, they often prefer a larger body of water. Bathing or washing menstrual cloths requires privacy. Their ability to access water varies based on individual characteristics such as: life stage, as recently married women have less freedom of movement than older women; health status, as older women report difficulties carrying water long distances; cyclical patterns such as seasonality, as certain sources are inaccessible during monsoon season; and characteristics of the water and the source itself, which encompasses distance, perceived quality, and privacy, among others.

Discussion

These findings indicate that public health interventions and surveys that monitor household water should not only consider the presence of a water source on the premises, but should also include multiple source use and consideration of individual members of households and the time of data collection, as water sources may not be equally available or acceptable to all household members at all times. In climate-sensitive areas, multiple water source use may become increasingly necessary as a response to changes in the environment, and should be considered in climate resilience interventions.
“Where everybody knows your name”: How regulars at farmers' markets differ from less-frequent shoppers
Authors: Stobbe Tracy
Published: February 2023

A survey of consumers at three farmers' markets (FMs) was done near Vancouver, British Columbia. The markets span urban and suburb locales, and the survey's 234 respondents were asked questions about shopping behavior, attitudes toward FMs, and demographic information. The focus of the analysis is on the differences between regulars and non-regulars to the market, where a regular is considered a shopper who shops weekly or bi-weekly. The results show that regulars spend more ($46.36 vs. 33.19 for non-regulars), are much more likely to expect higher prices compared to grocery stores than non-regulars, and buy more products (4.15 vs. 3.1). Regulars also value attributes of FMs differently: they value variety, organic products, and being locally-grown more highly. Organic purchasing behavior is also significantly different with regulars much more likely to say they “always” or “usually” buy organic products. As this is the first study to explicitly analyze regulars at FMs, suggested research directions and methods are offered to help guide future research.
Data workflows and visualization in support of surveillance practice
Authors: Gustafsson Wiktor , Dórea Fernanda C. , Widgren Stefan , Frössling Jenny , Vidal Gema , Kim Hyeyoung , Cha Wonhee , Comin Arianna , Rodriguez Ewerlöf Ivana , Rosendal Thomas
Published: February 2023

The Swedish National Veterinary Institute (SVA) is working on implementing reusable and adaptable workflows for epidemiological analysis and dynamic report generation to improve disease surveillance. Important components of this work include: data access, development environment, computational resources and cloud-based management. The development environment relies on Git for code collaboration and version control and the R language for statistical computing and data visualization. The computational resources include both local and cloud-based systems, with automatic workflows managed in the cloud. The workflows are designed to be flexible and adaptable to changing data sources and stakeholder demands, with the ultimate goal to create a robust infrastructure for the delivery of actionable epidemiological information.
Organ Donation After Euthanasia in Patients Suffering From Psychiatric Disorders: 10-Years of Preliminary Experiences in the Netherlands
Authors: van Dijk Nathalie , Stärcke Paulan , de Jongh Wim , Jansen Nichon , Shaw David , Bollen Jan , van Mook Walther
Published: February 2023

Euthanasia based on psychiatric suffering, followed by subsequent organ donation, is considered medically and legally permissible in the Netherlands. Although organ donation after euthanasia (ODE) in patients suffering from unbearable psychiatric illness is performed, it is not specifically addressed in the Dutch guideline on organ donation after euthanasia, and national data on ODE in psychiatric patients have not yet been published. In this article, the preliminary results of the 10-year Dutch case series of psychiatric patients who choose ODE are presented and potential factors influencing opportunities for donation in this population are discussed. We conclude that further future in-depth qualitative exploration of ODE in patients suffering from psychiatric illness and its associated ethical and practical dilemmas, including the consequences for the patient and their family and healthcare professionals, will be important to help make sense of potential barriers to donation for people undergoing euthanasia as a result of psychiatric suffering.
Optimised Voltage Distribution on Piezoelectric Actuators for Modal Excitations Damping in Tapered Beams
Authors: Rossi Andrea , Botta Fabio
Published: February 2023

Vibration mitigation is a prominent matter in several engineering fields. Several adverse phenomena are related to vibrations, such as fatigue, noise, etc. The availability of smart materials increases the solutions for both vibration damping and energy harvesting applications. Piezoelectric materials seem to be the most promising for these applications. However, their positioning significantly affects their efficiency. Several studies were performed on the positioning of piezoelectric actuators to dampen a target resonance in cantilever beams with constant cross-sections. Here, an analytical model for the optimal voltage distribution on an array of piezoceramic (PZT) actuator pairs is proposed in the case of tapered beams. The effect of tapering on the optimal voltage distribution was investigated for several eigenmode excitations and tapering ratios. The model outcomes were corroborated via FEM simulations and a fair agreement was found for each considered case.
Development of a Full-View-Type Grading Cup for Automated Sweet Cherry Sorters
Authors: Han Xiang , Ren Longlong , Shang Ziwen , Liu Baoyou , Liu Yi , Gong Yanchen , Song Yuepeng
Published: February 2023

In order to improve the adaptability of sweet cherry sorters to sweet cherries, a full-view-type grading cup for automated sweet cherry sorters was developed based on the physical characteristics of three species of sweet cherries: Tieton, Huang Mi, and Lapins. The structure and working principle of the full-view-type grading cup are described in this paper. The main factors affecting the operating stability of the grading cup were identified in this study by analyzing the mechanical properties of sweet cherries during the conveying and rotating process. According to the Box-Behnken test design method, we took the operating speed, the Young’s modulus, and the friction coefficient of the double-roller supporter as the test factors and we took the success rate as the test index. The operating parameters of the full-view-type grading cup were tested and studied, and the regression model between the test index and the test factors was established. The influence law of each factor on the test index was analyzed, and the test factors were comprehensively optimized according to the regression model. The results showed that when the operating speed was 48 sweet cherries/min; the butadiene rubber (BR) 9000, with a Young’s modulus of 0.012 GPa was selected as the material for making the double-support rollers; and the friction coefficient was designed to be 15, the success rate was 86.0%. The results of this research have provided a theoretical basis for the design and optimization of grading cups for automated sweet cherry sorters.
Skin Marks in Critically Endangered Taiwanese Humpback Dolphins (Sousa chinensis taiwanensis)
Authors: Ho Yun , Wu Pei-Ying , Chou Lien-Siang , Yang Wei-Cheng
Published: February 2023

As long-lived apex predators, Indo-Pacific humpback dolphins (Sousa chinensis) are key indicators of marine coastal environmental health. Skin marks can be observed on dorsal body surfaces that are visible during mark–recapture studies that rely on photo-identification (photo-ID) methods. Skin mark prevalence may be an indicator of environmental or anthropogenic stressors in the ecosystem, which may lead to individual and/or population-level health concerns. The prevalence of marks of anthropogenic origin was assessed in the Critically Endangered S. chinensis taiwanensis population along the coasts of central Taiwan. Fifty, twenty-eight, and thirty-four individuals were identified in 2018, 2019, and 2021, respectively. At least one category of injuries was observed in 47 of 57 distinctive individuals (82%), and adults showed a higher prevalence of deep injuries than the other coloration stages. At least one category of skin lesion was observed in 33 of 57 distinctive individuals (58%), and high prevalence of skin lesions was found in mature individuals. Given the difficulty in taking direct observations, skin mark prevalence is proposed as a proxy for estimating habitat health and anthropogenic stressors upon S. chinensis taiwanensis. The moderate-to-high prevalence of skin marks in this study was designated as a warning of risks. This study provides important updated information for the assessment of the health and survival of this population. More effective management measures are urgently needed to reverse the observed population decline.
Hydrocinnamic Acid and Perillyl Alcohol Potentiate the Action of Antibiotics against Escherichia coli
Authors: Sousa Mariana , Afonso Ana Cristina , Teixeira Lília Soares , Borges Anabela , Saavedra Maria José , Simões Lúcia Chaves , Simões Manuel
Published: February 2023

The treatment of bacterial infections has been troubled by the increased resistance to antibiotics, instigating the search for new antimicrobial therapies. Phytochemicals have demonstrated broad-spectrum and effective antibacterial effects as well as antibiotic resistance-modifying activity. In this study, perillyl alcohol and hydrocinnamic acid were characterized for their antimicrobial action against Escherichia coli. Furthermore, dual and triple combinations of these molecules with the antibiotics chloramphenicol and amoxicillin were investigated for the first time. Perillyl alcohol had a minimum inhibitory concentration (MIC) of 256 µg/mL and a minimum bactericidal concentration (MBC) of 512 µg/mL. Hydrocinnamic acid had a MIC of 2048 µg/mL and an MBC > 2048 µg/mL. Checkerboard and time-kill assays demonstrated synergism or additive effects for the dual combinations chloramphenicol/perillyl alcohol, chloramphenicol/hydrocinnamic acid, and amoxicillin/hydrocinnamic acid at low concentrations of both molecules. Combenefit analysis showed synergism for various concentrations of amoxicillin with each phytochemical. Combinations of chloramphenicol with perillyl alcohol and hydrocinnamic acid revealed synergism mainly at low concentrations of antibiotics (up to 2 μg/mL of chloramphenicol with perillyl alcohol; 0.5 μg/mL of chloramphenicol with hydrocinnamic acid). The results highlight the potential of combinatorial therapies for microbial growth control, where phytochemicals can play an important role as potentiators or resistance-modifying agents.
Ionization of Xenon Clusters by a Hard X-ray Laser Pulse
Authors: Kumagai Yoshiaki , Xu Weiqing , Asa Kazuki , Nishiyama Toshiyuki Hiraki , Motomura Koji , Wada Shin-ichi , Iablonskyi Denys , Mondal Subhendu , Tachibana Tetsuya , Ito Yuta , Sakai Tsukasa , Matsunami Kenji , Umemoto Takayuki , Nicolas Christophe , Miron Catalin , Togashi Tadashi , Ogawa Kanade , Owada Shigeki , Tono Kensuke , Yabashi Makina , Fukuzawa Hironobu , Nagaya Kiyonobu , Ueda Kiyoshi
Published: February 2023

Ultrashort pulse X-ray free electron lasers (XFFLs) provided us with an unprecedented regime of X-ray intensities, revolutionizing ultrafast structure determination and paving the way to the novel field of non-linear X-ray optics. While pioneering studies revealed the formation of a nanoplasma following the interaction of an XFEL pulse with nanometer-scale matter, nanoplasma formation and disintegration processes are not completely understood, and the behavior of trapped electrons in the electrostatic potential of highly charged species is yet to be decrypted. Here we report the behavior of the nanoplasma created by a hard X-ray pulse interacting with xenon clusters by using electron and ion spectroscopy. To obtain a deep insight into the formation and disintegration of XFEL-ignited nanoplasma, we studied the XFEL-intensity and cluster-size dependencies of the ionization dynamics. We also present the time-resolved data obtained by a near-infrared (NIR) probe pulse in order to experimentally track the time evolution of plasma electrons distributed in the XFEL-ignited nanoplasma. We observed an unexpected time delay dependence of the ion yield enhancement due to the NIR pulse heating, which demonstrates that the plasma electrons within the XFEL-ignited nanoplasma are inhomogeneously distributed in space.
GNSS Antenna Pattern Prediction and Placement Optimization: A Prototype Method Using Machine Learning to Aid Complex Electromagnetic Simulations Validated on a Vehicle Model
Authors: Cicconet Franciele , Silva Rui , Mendes Paulo M.
Published: February 2023

An antenna’s radiation pattern is dependent on its geometrical characteristics and its antenna’s surroundings, materials, and geometries. As such, to predict the antenna’s performance in complex environments, such as that of small antennas on large vehicles, it is necessary to obtain a model that represents such a full scenario, so that the simulation may be accomplished in the process of antenna design and placement. Due to the complex and electrically large nature of some electromagnetic problems, the detailed representation, even for a simplified model, may imply a large computational effort, both in terms of time and memory, is needed to perform the simulation. This paper evaluates how machine learning models can be used to mitigate the computational effort required to predict the behavior of antennas requiring complex modeling. It is proposed to start from a more simplified model of the electromagnetic structure to obtain a prediction for the correct solution, without needing to simulate the full structure in every iteration, and to combine this with prediction algorithms to obtain the solution of the full problem. The proposed solution uses convolutional neural networks (U-Net) of a certain accuracy to help with the correct placement of small antennas on autonomous vehicles. The standard approach requires the simulation of a full model at each test position, requiring high computational time and memory. With this new proposal, it is possible to analyze more positions and radiation patterns in a much shorter time, and with less memory, when compared with the solution from the full model. Along with this methodology for each simulation, a Bayesian optimizer is proposed to improve the search process for the best location, leading to a reduction in the required steps. This methodology was applied to support the correct positioning of a GNSS antenna with reference to a set of performance indicators required for autonomous vehicles, but it can be also applied to larger and more complex structures, allowing one to reduce the simulation time of a large electromagnetic structure and the search time for the optimum location.
Experimental Study of the Formation and Evolution of Gas Jets in Supersonic Combustion Chambers
Authors: Duan Yifan , Yang Pengnian , Xia Zhixun , Feng Yunchao , Li Chaolong , Zhao Libei , Ma Likun
Published: February 2023

A simple and efficient flow field visualization method (based on shadow imaging) was applied in a direct-connect test to explore the influence of the momentum flux ratio and the jet angle on the formation and evolution of nitrogen jets in supersonic combustion chambers. The test setup adopts a rectangular flow passage to simulate a flight condition with Mach number of 6 and altitude of 25 km. The experimental results showed that (a) the flow field visualization method adopted in this paper can clearly register the formation and evolution of the shock wave structure in the flow field and the windward shear vortex on the jet surface. (b) The evolution process of the windward shear vortex is significantly affected by the jet angle. In particular, the stretching position of the windward shear vortex changed when the jet angle was obtuse. (c) The bow shocks showed local distortion due to the periodic generation of large-scale shear vortexes. (d) Under the working conditions of the test, the largest instability of the flow field was found for a jet angle of 120°. This work provides, on one hand, the experimental basis for clarifying the formation and evolution mechanism of transverse gas jets, and on the other, valuable data that can be used to validate numerical simulations.
The Only Architectural Testimony of an 18th Century Italian Gordonia-Style Miniature Theatre: An Acoustic Survey of the Monte Castello di Vibio Theatre
Authors: Tronchin Lamberto , Yan Ruoran , Bevilacqua Antonella
Published: February 2023

The acoustic characteristics and spatial features of the world’s only surviving Italianate Gordonia-style miniature theatre, one of the smallest theatres in the world, have inspired the author to analyse the acoustic behaviour of the Monte Castello di Vibio theatre, also called “Teatro della Concordia”. In this paper, the geometric and architectural features of this historical and unique performing art space were first reproduced, considering that these features are essential factors affecting acoustic characteristics. Subsequently, the acoustic measurements were taken throughout the stall and inside some selected boxes, and their main parameters were acoustically characterised according to ISO 3382-1. Lastly, the main acoustic parameters of the Monte Castello di Vibio theatre were compared to those of the 1763 theatre in Bologna, which is also a miniature theatre of similar size. The aim is to explore the main influences on the acoustic parameters of miniature theatres, and the results show that the plan layout of the theatre and interior decoration are the main factors influencing the acoustic characteristics rather than volume. Preserving the acoustic features of this unique heritage building is also seen as one of the goals of this paper.
Design, Implementation and Validation of a Hardware-in-the-Loop Test Bench for Heating Systems in Conventional Coaches
Authors: Delgado María Luisa , Jiménez-Hornero Jorge E. , Vázquez Francisco
Published: February 2023

Experimental work with heating systems installed in public transport vehicles, particularly for optimisation and control design, is a challenging task due to cost and space limitations, primarily imposed by the heating hardware and the need to have a real vehicle available. In this work, a hybrid hardware-in-the-loop (HIL) test bench for heating systems in conventional coaches is introduced. This approach consists of a hardware system made up of the main heating components, assembled as a lab experimental plant, along with a simulation component including a cabin thermal model, both exchanging real-time data using a standard communication protocol. This scheme presents great flexibility regarding data logging for further analysis and easily changing the experimental operational conditions and disturbances under different scenarios (i.e., solar irradiance, outside temperature, water temperature from the engine cooling circuit, number of passengers, etc.). Comparisons between the hybrid system’s transient and steady-state responses and those from selected experiments conducted on an actual coach allowed us to conclude that the proposed system is a suitable test bed to aid in optimisation and design tasks. In this context, several closed-loop test experiments using the test bench were additionally carried out to assess the performance of the proposed control system.