bluuebunny/crossref_metadata_2025 huggingface dataset:
Knowledge, attitudes, and practices of adolescent depression among parents of children diagnosed with depression in Ningbo City, eastern China
Authors: Gao He , Dai Ni , Lin Chen , Ye Yun , Yang Dalu , Zhang Qingyu , Mao Jiaxin , Lou Zhongze , Ji Yunxin , Ruan Liemin , Hou Yanbin
Published: June 2024

Objective

To investigate parental knowledge, attitudes, and practices (KAP) toward adolescent depression.

Methods

A cross-sectional survey was conducted between October 2022 and October 2023 at The First Affiliated Hospital of Ningbo University among parents of adolescents diagnosed with depression. A self-administered questionnaire was used to collect the parents’ demographic characteristics and KAP toward adolescent depression.

Results

A total of 522 questionnaires were collected from parents of depressed adolescents. Among the participants, 383 (73.37%) were female. In addition, 426 participants (81.61%) had children aged 14–18. The mean knowledge, attitude, and practice scores were 9.09 ± 2.37 (possible range: 0–12), 37.04 ± 4.11 (possible range: 11–55), and 31.53 ± 3.84 (possible range: 8–40), respectively. There were significant positive correlations between knowledge and attitude (r = 0.225, p < 0.001), knowledge and practice (r = 0.240, p < 0.001), and attitude and practice (r = 0.381, p < 0.001). The path analysis showed significant direct effects of knowledge on attitude (β = 0.422, p < 0.001) and practice (β = 0.283, p < 0.001). There was an indirect effect of knowledge on practice through attitude (β = 0.131, p = 0.004). Attitude directly impacted practice (β = 0.311, p < 0.001).

Conclusion

Parents of adolescents diagnosed with depression exhibited moderate KAP regarding adolescent depression. The study underscored the importance of targeted interventions to improve parental KAP in supporting adolescents with depression. Moreover, future research should explore additional factors influencing parental attitudes and behaviors toward adolescent depression to develop more effective interventions.
Testing the effectiveness of the culturally adapted skills training START NOW to reduce mental health problems in adolescent refugees: study protocol for a randomized controlled trial
Authors: Bacher Janine , Stadler Christina , Unternaehrer Eva , Brunner Donja
Published: June 2024

Background

Adolescent refugees are particularly vulnerable to mental health problems, as they experience many risk factors associated with their resettlement at crucial stages of their physical and emotional development. However, despite having a greater healthcare needs than others, they face significant barriers to accessing healthcare services. Therefore, this study aims to test the effectiveness of a low-threshold, culturally adapted version of the skills training START NOW – START NOW Adapted - in reducing mental health problems among adolescent refugees.

Methods

We will recruit 80 adolescent refugees (15–18 years) with symptoms of anxiety and depression or high perceived stress in Northwestern Switzerland. They will be randomly assigned to one of two study groups: an intervention group, receiving START NOW Adapted, and a control group, receiving treatment as usual (TAU). The intervention will last 10 weeks and will consist of one-hour sessions per week provided by a trained facilitator with the same cultural background, in the respective language. Assessments to collect depressive and anxious symptoms, perceived stress, social-ecological resilience, and emotion recognition abilities will be conducted pre-intervention, post-intervention (11 weeks later) and at the 3-month follow-up. Multilevel models will be computed with primary and secondary outcome measures as dependent variables. An effect of at least moderate size will be considered clinically relevant.

Discussion

This randomized controlled trial aims to investigate the effectiveness of a culturally adapted version of START NOW, providing valuable insights to improve current health promotion for adolescent refugees in Switzerland (or rather lack thereof). Ultimately, the effects of START NOW may facilitate integration and promote healthy development while decreasing costs associated with treating migration- or conflict-related trauma.

Clinical trial registration:ClinicalTrials.gov, identifier: NCT06324864.
Life changes, self-prevention, knowledge and mental health among inflammatory bowel disease patients during COVID-19 pandemic: a cross-sectional study
Authors: He Shiwen , Xiao Tao , Xia Yingchun
Published: June 2024

Background

With the COVID-19 pandemic going to be COVID-19 endemic, the negative impact of COVID-19 on the mental health of IBD patients cannot be ignored. This study aimed to investigate the occurrence of anxiety and depression in IBD patients during the COVID-19 pandemic and analyze the factors associated with mental health.

Methods

Patients registered at the IBD center were enrolled. Electronic questionnaires about the IBD patient’s demographic information, basic knowledge of COVID-19, public self-prevention measures, daily life changes, and anxiety and depression were distributed.

Results

Two hundred and fifteen IBD patients finished this study and reported to have anxiety (27%) or depression (34%). During the COVID-19 pandemic, 10.2% of IBD patients reported their diet changes, 58.5% of IBD patients changed their daily physical activities from 3.27 ± 3.252 h to 2.30 ± 2.78 h, 33.7% of IBD patients changed their sleeping duration from 7.99 ± 1.322 h to 8.18 ± 1.447 h. IBD patients’ waiting time for admission (OR: 3.688, 95%CI: 1.003–13.554), regularly oral medicine administration (OR: 18.407, 95%CI: 1.975–171.530) and diet changes (OR: 6.167, 95%CI: 2.158–17.626) were positively correlated with anxiety or depression. IBD patients’ timely periodic infusion of biological agents (OR: 0.586, 95%CI: 0.413–0.830) was negatively correlated with anxiety or depression. IBD patients’ knowledge of COVID-19, public self-prevention, physical activities, and sleep duration changes showed no significant correlation with anxiety and depression, all p values > 0.05.

Conclusion

The main factors of IBD patients’ mental health were diet changes, waiting time for admission, taking oral medicine regularly, and timely periodic infusions of biological agents. Ensuring the supply of routine treatment and medication for IBD patients and establishing systemic online IBD self-management programs would be the focus of major public health events.
Simultaneous determination of small molecules and proteins in wastewater-based epidemiology
Authors: Picó Yolanda , Ginebreda Antoni , Carrascal Montserrat , Abian Joaquin , Barceló Damià
Published: June 2024

Wastewater-based epidemiology (WBE) aims to understand a population’s consumption habits, exposure to chemicals, and the prevalence of specific diseases or pathogens. This is achieved by the chemical or biological/genomic determination of biomarkers (e.g., excreted metabolic products), which are in urban wastewater generated by that population. WBE has been mostly linked to the determination of small molecules of human origin using liquid-chromatography mass spectrometry (LC-MS). In this Perspective, we provide a state-of-the-art and critical evaluation of further developments in the information achieved by determining small molecules as well as the most promising analytical techniques to enlarge the information obtained. By simultaneously monitoring small and large molecules we can comprehensively trace the population’s health by their consumption of prescribed pharmaceuticals and illegal drugs, as well as by the amount of excreted macromolecule biomarkers such as peptides and proteins. Moreover, species-specific protein sequences allow us to monitor animal populations reflecting farming and slaughterhouse activities (poultry, pigs…) or pest occurrences (rats). To this end, the capability of proteomic studies using high-resolution tandem mass spectrometry is highlighted and compared in the context of other advances in the broader field of high-resolution mass spectrometry (HRMS).
Understanding the needs and perspectives of young adults with recent suicidal ideation: insights for suicide prevention
Authors: Looijmans Milou , Elzinga Elke , Popma Arne , van Bergen Diana , Gilissen Renske , Mérelle Saskia
Published: June 2024

Introduction

Suicide rates among adolescents and young people are increasing, especially in Western countries. Suicidal ideation often precedes suicide attempts and suicide. Yet, research involving individuals with lived experience in suicide prevention, especially among young adults, remains scarce. Understanding their needs is crucial for effective interventions. This qualitative study aims to explore the needs and perspectives of young adults with lived experience to provide tailored recommendations for suicide prevention.

Methods

Semi-structured interviews were carried out with 19 young adults who had experienced suicidal ideation within the past two years. Open-ended questions addressed the needs for help and support regarding suicide prevention. Data was thematically analyzed and, through an iterative process involving discussion among all authors, categorized into six themes.

Results

The results indicated needs around more openness and understanding of suicide among the general public, advocating mental health education starting from a young age, reducing barriers in mental health care such as long waiting lists and enhancing informal support systems by facilitating online and offline peer connections. Participants also highlighted contemporary concerns such as social welfare, academic pressure, and social media as significant needs in the current time.

Conclusion

This study highlights the necessity for comprehensive suicide prevention approaches catering to the diverse needs of young adults with recent suicidal ideation. It highlights the urgency of societal awareness, early mental health education, and improved access to services. Informal support networks and addressing societal stressors are also deemed crucial. Structural changes are urged to create supportive environments.
Socially adaptive cognitive architecture for human-robot collaboration in industrial settings
Authors: Freire Ismael T. , Guerrero-Rosado Oscar , Amil Adrián F. , Verschure Paul F. M. J.
Published: June 2024

This paper introduces DAC-HRC, a novel cognitive architecture designed to optimize human-robot collaboration (HRC) in industrial settings, particularly within the context of Industry 4.0. The architecture is grounded in the Distributed Adaptive Control theory and the principles of joint intentionality and interdependence, which are key to effective HRC. Joint intentionality refers to the shared goals and mutual understanding between a human and a robot, while interdependence emphasizes the reliance on each other’s capabilities to complete tasks. DAC-HRC is applied to a hybrid recycling plant for the disassembly and recycling of Waste Electrical and Electronic Equipment (WEEE) devices. The architecture incorporates several cognitive modules operating at different timescales and abstraction levels, fostering adaptive collaboration that is personalized to each human user. The effectiveness of DAC-HRC is demonstrated through several pilot studies, showcasing functionalities such as turn-taking interaction, personalized error-handling mechanisms, adaptive safety measures, and gesture-based communication. These features enhance human-robot collaboration in the recycling plant by promoting real-time robot adaptation to human needs and preferences. The DAC-HRC architecture aims to contribute to the development of a new HRC paradigm by paving the way for more seamless and efficient collaboration in Industry 4.0 by relying on socially adept cognitive architectures.
Wellbeing, infrastructures, and energy insecurity in informal settlements
Authors: Caprotti Federico , de Groot Jiska , Mathebula Norman , Butler Catherine , Moorlach Mascha
Published: June 2024

Introduction

Understanding the intricate relationship between energy and wellbeing in informal urban settlements is essential for developing effective interventions that address the diverse needs of residents. This paper explores this nexus through a multi-dimensional lens, examining the complexities and dynamics involved in off-grid renewable energy interventions, focusing on solar microgrids in an informal settlement in Cape Town, South Africa.

Methods

The paper is based on empirical research analysed through a theoretical framework articulating the pathways through which energy insecurity influences various dimensions of wellbeing, encompassing economic, physical, social, and environmental aspects. By applying this framework to our empirical research, the paper reveals the intricate interplay between neighbourhood factors, housing conditions, social processes, and economic insecurities, shedding light on both the challenges and opportunities associated with off-grid energy interventions.

Results

The understanding of wellbeing presented in the paper is based on what we term the energy-wellbeing-informality nexus. Understanding the nexus necessitates: (a) moving past universalist and technocratic understandings of wellbeing, and towards a relational and networked basis for wellbeing analysis; (b) moving beyond conventional narratives of off-grid electrification as mere technical fixes, emphasizing the importance of recognizing informal settlements as sites of innovation and experimentation; (c) understanding the multi-sectoral nature of energy-related wellbeing impacts, extending beyond energy provision to encompass broader dimensions such as education, health, and social cohesion.

Discussion

The paper not only advances theoretical understanding but also offers practical insights for policymakers and practitioners. It emphasizes the need for context-sensitive policymaking that acknowledges the complexities of informal settlements and fosters innovative approaches to energy service provision. By integrating energy interventions into broader development strategies and adopting a multi-sectoral perspective, stakeholders can work towards more equitable and resilient solutions that enhance the overall wellbeing of residents in informal urban contexts.
Challenges and opportunities for designing clinical trials for antibody mediated rejection
Authors: Balakrishnan Suryanarayanan , Alexander Mariam P. , Schinstock Carrie
Published: June 2024

Significant progress has been made in kidney transplantation, with 1-year graft survival nearing 95%. However, long-term allograft survival remains suboptimal, with a 10-year overall graft survival rate of only 53.6% for deceased donor transplant recipients. Chronic active antibody-mediated rejection (ABMR) is a leading cause of death-censored graft loss, yet no therapy has demonstrated efficacy in large, randomized trials, despite substantial investment from pharmaceutical companies. Several clinical trials aimed to treat chronic ABMR in the past decade have yielded disappointing results or were prematurely terminated, attributed to factors including incomplete understanding of disease mechanisms, heterogeneous patient populations with comorbidities, slow disease progression, and limited patient numbers. This review aims to discuss opportunities for improving retrospective and prospective studies of ABMR, focusing on addressing heterogeneity, outcome measurement, and strategies to enhance patient enrollment to inform study design, data collection, and reporting.
Advancing vascularized composite allotransplantation: essential factors for upper extremity transplant program development
Authors: Kumnig Martin , Kobler Caroline , Zaccardelli Alessandra , Brandacher Gerald , Talbot Simon G.
Published: June 2024

Vascularized Composite Allotransplantation (VCA) offers a unique option to restore form and function after limb loss or facial trauma that cannot be satisfactorily accomplished through traditional prosthetics or reconstructions. Establishing a successful Upper Extremity Transplantation (UET) program requires strong leadership and a structured surgical team, and extensive interdisciplinary collaboration. We conducted a qualitative study among 12 health care professionals and patients. Informed consent was obtained per protocol, and semi-structured interviews were conducted online and recorded. Participants reported their perceptions of factors that either favored or hindered a successful outcome, including functional status before and after surgery, preparation for transplant, shared decision-making, rehabilitation, and psychosocial support. Thematic analysis revealed that it is essential to establish a team comprising various disciplines well before performing VCA procedures. Defining a common goal and choosing a defined leader is a key factor in procedural success and requires open collaboration beyond what is typical. Primary described categories are interdisciplinary collaboration and skills of the VCA team, building and leading a VCA team, pre-transplant procedures, post-transplant course, and factors to consider when establishing a program. The basic roles of team science play an outsized role in establishing a VCA program. Transplantation medicine involves various overlapping scientific and medical categories requiring health professionals to consciously work together to establish complex vertical and horizontal communication webs between teams to obtain positive outcomes. In addition to medical considerations, patient-specific factors such as transparent communication, therapy plan establishment, plan adherence, and continual follow-up are significant factors to overall success.
A Time Machine to Pangea’s Climate Past
Authors: Cantner Kat , Soreghan Gerilyn , Pfeifer Lily S. , Benison Kathleen Counter , Myrbo Amy
Published: June 2024

If you could time travel to the central U.S. 300 million years ago, you would find yourself at the equator of the supercontinent Pangea. At first you might enjoy a warm climate, surrounded by seas filled with life. But, after some millions of years, the seas would vanish as the climate turned increasingly hot, dry, and hostile. Billowing dust would engulf you, and nearly all life on Earth would vanish in an event called the Great Dying. How do we know? Geoscientists reconstruct past landscapes and climates by drilling into ancient sediments—tiny grains of sand and silt. These tiny particles tell us how fast the mountains rose and which way the wind blew. Microscopic fossils reveal water and air temperatures. And miniature bubbles trapped in salt preserve actual fossil water, from nearly 300 million years ago. Travel back in time with us to explore the Great Dying.
PEMOCS: theory derivation of a concept for PErsonalized MOtor-Cognitive exergame training in chronic Stroke—a methodological paper with an application example
Authors: Huber Simone K. , Manser Patrick , de Bruin Eling D.
Published: June 2024

Background

Coping with residual cognitive and gait impairments is a prominent unmet need in community-dwelling chronic stroke survivors. Motor-cognitive exergames may be promising to address this unmet need. However, many studies have so far implemented motor-cognitive exergame interventions in an unstructured manner and suitable application protocols remain yet unclear. We, therefore, aimed to summarize existing literature on this topic, and developed a training concept for motor-cognitive exergame interventions in chronic stroke.

Methods

The development of the training concept for personalized motor-cognitive exergame training for stroke (PEMOCS) followed Theory Derivation procedures. This comprised (1.1) a thorough (narrative) literature search on long-term stroke rehabilitation; (1.2) a wider literature search beyond the topic of interest to identify analogies, and to induce creativity; (2) the identification of parent theories; (3) the adoption of suitable content or structure of the main parent theory; and (4) the induction of modifications to adapt it to the new field of interest. We also considered several aspects of the “Framework for Developing and Evaluating Complex Interventions” by the Medical Research Council. Specifically, a feasibility study was conducted, and refining actions based on the findings were performed.

Results

A training concept for improving cognitive functions and gait in community-dwelling chronic stroke survivors should consider the principles for neuroplasticity, (motor) skill learning, and training. We suggest using a step-based exergame training for at least 12 weeks, 2–3 times a week for approximately 45 min. Gentile's Taxonomy for Motor Learning was identified as suitable fundament for the personalized progression and variability rules, and extended by a third cognitive dimension. Concepts and models from related fields inspired further additions and modifications to the concept.

Conclusion

We propose the PEMOCS concept for improving cognitive functioning and gait in community-dwelling chronic stroke survivors, which serves as a guide for structuring and implementing motor-cognitive exergame interventions. Future research should focus on developing objective performance parameters that enable personalized progression independent of the chosen exergame type.
A prospective study on the usefulness of high-resolution intraoperative infrared thermography in intracranial tumors
Authors: Menezes Diego Rodrigues , de Lima Lázaro , Mansilla Raíssa , Conci Aura , Rueda Fernanda , Velarde Luis Guilhermo Coca , Landeiro José Alberto , Acioly Marcus André
Published: June 2024

Introduction

Infrared thermography (IT) is a non-invasive real-time imaging technique with potential application in different areas of neurosurgery. Despite technological advances in the field, intraoperative IT (IIT) has been an underestimated tool with scarce reports on its usefulness during intracranial tumor resection. We aimed to evaluate the usefulness of high-resolution IIT with static and dynamic thermographic maps for transdural lesion localization, and diagnosis, to assess the extent of resection, and the occurrence of perioperative acute ischemia.

Methods

In a prospective study, 15 patients affected by intracranial tumors (six gliomas, four meningiomas, and five brain metastases) were examined with a high-resolution thermographic camera after craniotomy, after dural opening, and at the end of tumor resection.

Results

Tumors were transdurally located with 93.3% sensitivity and 100% specificity (p < 0.00001), as well as cortical arteries and veins. Gliomas were consistently hypothermic, while metastases and meningiomas exhibited highly variable thermographic maps on static (p = 0.055) and dynamic (p = 0.015) imaging. Residual tumors revealed non-specific static but characteristic dynamic thermographic maps. Ischemic injuries were significantly hypothermic (p < 0.001).

Conclusions

High-resolution IIT is a non-invasive alternative intraoperative imaging method for lesion localization, diagnosis, assessing the extent of tumor resection, and identifying acute ischemia changes with static and dynamic thermographic maps.
Fecal microbiota and concentrations of long-chain fatty acids, sterols, and unconjugated bile acids in cats with chronic enteropathy
Authors: Giordano Maria Veronica , Crisi Paolo Emidio , Gramenzi Alessandro , Cattaneo Debora , Corna Luca , Sung Chi-Hsuan , Tolbert Katherine M. , Steiner Joerg M. , Suchodolski Jan S. , Boari Andrea
Published: June 2024

Feline chronic enteropathies (FCE) are common causes of chronic gastrointestinal signs in cats and include different diseases such as food-responsive enteropathy (FRE), inflammatory bowel diseases (IBD), and low-grade intestinal T-cell lymphoma (LGITL). Although changes in intestinal microbiota and fecal metabolites have been reported in dogs and humans with chronic enteropathy, research in cats has been limited. Therefore, this study aimed to evaluate the fecal microbiota and lipid-related fecal metabolites in cats with FCE to a clinically healthy comparison group (CG). A total of 34 cats with FCE (13 FRE, 15 IBD, and 6 LGITL) and 27 cats in the CG were enrolled in this study. The fecal microbiota was evaluated by the qPCR-based feline Dysbiosis Index (DI). The feline DI in cats with CE (median: 1.3, range: −2.4 to 3.8) was significantly higher (p < 0.0001) compared to CG (median: - 2.3, Range: −4.3 to 2.3), with no difference found among the FCE subgroups. The fecal abundances of Faecalibacterium (p < 0.0001), Bacteroides (p < 0.0001), Fusobacterium (p = 0.0398), Bifidobacterium (p = 0.0004), and total bacteria (p = 0.0337) significantly decreased in cats with FCE. Twenty-seven targeted metabolites were measured by gas chromatography–mass spectrometry, including long-chain fatty acids (LCFAs), sterols, and bile acids (BAs). Fecal concentrations of 5 of 12 LCFAs were significantly increased in cats with FCE compared to CG. Fecal concentrations of zoosterol (p = 0.0109), such as cholesterol (p < 0.001) were also significantly increased in cats with FCE, but those of phytosterols were significantly decreased in this group. No differences in fecal BAs were found between the groups. Although no differences were found between the four groups, the fecal metabolomic pattern of cats with FRE was more similar to that of the CG than to those with IBD or LGITL. This could be explained by the mild changes associated with FRE compared to IBD and LGITL. The study showed changes in intestinal microbiota and alteration of fecal metabolites in FCE cats compared to the CG. Changes in fecal lipids metabolites suggest a dysmetabolism of lipids, including LCFAs, sterols, and unconjugated BAs in cats with CE.
Nucleotide metabolism-related host proteins RNA polymerase II subunit and uridine phosphorylase 1 interacting with porcine epidemic diarrhea virus N proteins affect viral replication
Authors: Xu Yifan , Yi Heyou , Kuang Qiyuan , Zheng Xiaoyu , Xu Dan , Gong Lang , Yang Liangyu , Xiang Bin
Published: June 2024

Porcine epidemic diarrhea virus (PEDV) is a highly infectious pathogen that targets pig intestines to cause disease. It is globally widespread and causes huge economic losses to the pig industry. PEDV N protein is the protein that constitutes the core of PEDV virus particles, and most of it is expressed in the cytoplasm, and a small part can also be expressed in the nucleus. However, the role of related proteins in host nucleotide metabolic pathways in regulating PEDV replication have not been fully elucidated. In this study, PEDV-N-labeled antibodies were co-immunoprecipitated and combined with LC-MS to screen for host proteins that interact with N proteins. Bioinformatics analyses showed that the selected host proteins were mainly enriched in metabolic pathways. Moreover, co-immunoprecipitation and confocal microscopy confirmed that the second-largest subunit of RNA polymerase II (RPB2) and uridine phosphorylase 1 (UPP1) interacted with the N protein. RPB2 is the main subunit of RNA polymerase II and plays an important role in eukaryotic transcription. UPP1 is an enzyme that catalyzes reversible phosphorylation of uridine to uracil and ribo-1-phosphate to promote catabolism and bio anabolism. RPB2 overexpression significantly promoted viral replication, whereas UPP1 overexpression significantly inhibited viral replication. Studies on interactions between the PEDV N and host proteins are helpful in elucidating the pathogenesis and immune escape mechanism of PEDV.
Experimental Warming Reduces the Grain Yield and Nitrogen Utilization Efficiency of Double-Cropping indica Rice in South China
Authors: Yang Taotao , Zou Jixiang , Wu Longmei , Bao Xiaozhe , Jiang Yu , Zhang Nan , Zhang Bin
Published: June 2024

The effect of climate warming on rice production in China is profound, yet there has been limited research on how it affects the grain yield, nitrogen (N) uptake, and N utilization efficiency (NUtE) of the double-cropping indica rice in South China. To address this gap, we conducted a free air temperature increase (FATI) experiment in Guangdong province during 2020 and 2021. Our findings revealed that warming led to a significant reduction in grain yield, with early rice (ER) and late rice (LR) experiencing average decreases of 5.2% and 6.3%, respectively, compared to control treatments. This decline was primarily attributed to the reduced grain weight of ER and the fewer spikelet numbers per panicle of LR under warming conditions. Although the dry matter translocation, harvest index, and N translocation efficiency of ER remained unchanged under warming conditions, these of LR decreased by an average of 58.1%, 8.8%, and 22.3%, respectively. Additionally, while warming did not affect the N uptake in ER at maturity, it significantly increased the N uptake in LR by an average of 11.0%. Therefore, under warming conditions, the NUtE of both ER and LR was markedly decreased by 6.9% and 15.5% over the two years. These results indicate that climate warming may have significant negative impacts on the grain yield and the NUtE of indica rice within double-rice cropping systems in South China. Understanding these dynamics is vital for maintaining the stability of rice yields in anticipation of future climate warming.
Effects of Different Crop Intercropping on the Growth, Root System, and Yield of Tiger Nuts
Authors: Li Zhe , Shen Lei , Liu Tingting , Wei Wenwen , Wang Jiaping , Li Luhua , Zhang Wei
Published: June 2024

Intercropping is a vital cropping system that can create a conducive growth environment for crops and enhance land productivity. Tiger nuts (Cyperus esculentus L.) have high oil content and are adaptable to various soil types, making them a promising new oil crop with significant development potential. This study evaluated the plant height, leaf area, tiller numbers, biomass, land equivalent ratio (LER), and root morphological characteristics of tiger nuts. The agronomic traits and root distribution of tiger nuts and other crops were further investigated to achieve the goal of high yield for tiger nuts. Seven intercropping systems were implemented in the experiment: maize–tiger nut intercropping (MT), soybean–tiger nut intercropping (ST), cotton–tiger nut intercropping (CT), monoculture tiger nut (T), monoculture maize (M), monoculture soybean (S), and monoculture cotton (C). The results indicated that under different planting systems, the agronomic traits of tiger nuts in MT and ST modes were superior, with plant height and tiller numbers increasing by 7.6% to 11.6%. However, the plant height and Soil Plant Analysis Development (SPAD) values in CT mode were slightly lower than in T mode. Additionally, intercropping reduced the leaf area by 6.2% to 37.9%. Root development was more pronounced in intercropping modes, with the ST mode showing the most significant improvement, increasing the 0–20 cm root length density (RLD) by 12.2% to 45.7%. Therefore, each of the three intercropping modes demonstrated distinct advantages. The LER of the intercropping systems ranged from 1.10 to 1.24, enhancing land utilization, with tiger nuts being the dominant species. Compared to monoculture, the ST mode exhibited the best overall effect. Understanding the impact of different planting systems on tiger nuts provides valuable insights for developing tiger nut cultivation in Xinjiang.
The Underlying Neurobiological Mechanisms of Psychosis: Focus on Neurotransmission Dysregulation, Neuroinflammation, Oxidative Stress, and Mitochondrial Dysfunction
Authors: Rawani Neha S. , Chan Allen W. , Dursun Serdar M. , Baker Glen B.
Published: June 2024

Psychosis, defined as a set of symptoms that results in a distorted sense of reality, is observed in several psychiatric disorders in addition to schizophrenia. This paper reviews the literature relevant to the underlying neurobiology of psychosis. The dopamine hypothesis has been a major influence in the study of the neurochemistry of psychosis and in development of antipsychotic drugs. However, it became clear early on that other factors must be involved in the dysfunction involved in psychosis. In the current review, it is reported how several of these factors, namely dysregulation of neurotransmitters [dopamine, serotonin, glutamate, and γ-aminobutyric acid (GABA)], neuroinflammation, glia (microglia, astrocytes, and oligodendrocytes), the hypothalamic–pituitary–adrenal axis, the gut microbiome, oxidative stress, and mitochondrial dysfunction contribute to psychosis and interact with one another. Research on psychosis has increased knowledge of the complexity of psychotic disorders. Potential new pharmacotherapies, including combinations of drugs (with pre- and probiotics in some cases) affecting several of the factors mentioned above, have been suggested. Similarly, several putative biomarkers, particularly those related to the immune system, have been proposed. Future research on both pharmacotherapy and biomarkers will require better-designed studies conducted on an all stages of psychotic disorders and must consider confounders such as sex differences and comorbidity.
Identification of the Key Issues and Technical Paths for Intelligent Operation of Water Source Heat Pump Energy Stations Applying Digital Twin Technology
Authors: Zhang Jiaji , Wang Qiankun , Gui Shuqiang , Zhou Junli , Sun Jinlong
Published: June 2024

To address the challenges posed by global climate change, developing green energy systems characterized by informatization, digitalization, and intelligence is crucial for achieving carbon neutrality. This article is a research report type paper on water source heat pump (WSHP) energy stations, aiming to use digital twin technology and other information technologies to resolve conflicts between clean energy development and efficient energy utilization. The primary objective of this study is to identify and analyze issues in traditional energy station operations and management systems. Based on this analysis, specific technical solutions are proposed, including pathways for technological research, methodologies, and content. The results provide a comprehensive theoretical framework for the intelligent transformation of energy station systems and essential technical support for the WSHP energy station project in the Hankou Binjiang International Business District. The findings have significant implications for the widespread adoption of WSHP energy stations and the achievement of national carbon neutrality goals.
Dietary Interventions for Human General and Oral Health and Disease Reduction
Authors: Antoniadou Maria , Varzakas Theodoros
Published: June 2024

According to the World Health Organization (WHO), “a healthy diet is essential for good health and nutrition [...]
Advancing Insights into Runway De-Icing: Combining Infrared Thermography and Raman Spectroscopy to Assess Ice Melt
Authors: Charpentier Claire , Brassard Jean-Denis , Marchetti Mario , Momen Gelareh
Published: June 2024

The “bare runway” principle aims to ensure passenger and employee safety by making runways more usable during winter conditions, allowing for easier removal of contaminants like snow and ice. Maintaining runway operations in winter is essential, but it involves considerable cost and environmental impacts. Greater knowledge about the de-icing and anti-icing performance of runway de-icing products (RDPs) optimizes operations. The ice melting test, as per the AS6170 standard, gauges the rate at which an RDP dissolves an ice mass to determine RDP effectiveness. Here, we introduce a novel integrated methodology for assessing RDP-related ice melting. We combine laboratory-based procedures with infrared thermography and Raman spectroscopy to monitor the condition of RDPs placed on ice. The plateau of maximum efficiency, marked by the most significant Raman peak intensity, corresponds to the peak minimum temperature, indicating optimal RDP performance. Beyond this point, RDP efficacy declines, and the system temperature, including melted contaminants and RDP, approaches ambient temperature. Effective RDP performance persists when the ambient temperature exceeds the mixture’s freezing point; otherwise, a freezing risk remains. The initial phases of RDP–ice contact involve exothermic reactions that generate brine, followed by heat exchange with surrounding ice to encourage melting. The final phase is complete ice melt, leaving only brine with reduced heat exchange on the surface. By quantifying these thermal and chemical changes, we gain a deeper understanding of RDP-related ice melting, and a more robust assessment can be provided to airports using RDPs.
FAGD-Net: Feature-Augmented Grasp Detection Network Based on Efficient Multi-Scale Attention and Fusion Mechanisms
Authors: Zhong Xungao , Liu Xianghui , Gong Tao , Sun Yuan , Hu Huosheng , Liu Qiang
Published: June 2024

Grasping robots always confront challenges such as uncertainties in object size, orientation, and type, necessitating effective feature augmentation to improve grasping detection performance. However, many prior studies inadequately emphasize grasp-related features, resulting in suboptimal grasping performance. To address this limitation, this paper proposes a new grasping approach termed the Feature-Augmented Grasp Detection Network (FAGD-Net). The proposed network incorporates two modules designed to enhance spatial information features and multi-scale features. Firstly, we introduce the Residual Efficient Multi-Scale Attention (Res-EMA) module, which effectively adjusts the importance of feature channels while preserving precise spatial information within those channels. Additionally, we present a Feature Fusion Pyramidal Module (FFPM) that serves as an intermediary between the encoder and decoder, effectively addressing potential oversights or losses of grasp-related features as the encoder network deepens. As a result, FAGD-Net achieved advanced levels of grasping accuracy, with 98.9% and 96.5% on the Cornell and Jacquard datasets, respectively. The grasp detection model was deployed on a physical robot for real-world grasping experiments, where we conducted a series of trials in diverse scenarios. In these experiments, we randomly selected various unknown household items and adversarial objects. Remarkably, we achieved high success rates, with a 95.0% success rate for single-object household items, 93.3% for multi-object scenarios, and 91.0% for cluttered scenes.
Monocular Vision Guidance for Unmanned Surface Vehicle Recovery
Authors: Li Zhongguo , Xi Qian , Shi Zhou , Wang Qi
Published: June 2024

The positioning error of the GPS method at close distances is relatively large, rendering it incapable of accurately guiding unmanned surface vehicles (USVs) back to the mother ship. Therefore, this study proposes a near-distance recovery method for USVs based on monocular vision. By deploying a monocular camera on the USV to identify artificial markers on the mother ship and subsequently leveraging the geometric relationships among these markers, precise distance and angle information can be extracted. This enables effective guidance for the USVs to return to the mother ship. The experimental results validate the effectiveness of this approach, with positioning distance errors of less than 40 mm within a 10 m range and positioning angle errors of less than 5 degrees within a range of ±60 degrees.
Sustainable Pulse Proteins: Physical, Chemical and Fermentative Modifications
Authors: Ganeshan Seedhabadee , Asen Nancy , Wang Yingxin , Tülbek Mehmet Ç. , Nickerson Michael T.
Published: June 2024

Pulse proteins are playing significant roles in the alternative protein space due to the demand for foods produced in an environmentally sustainable manner and, most importantly, due to the demand for foods of nutritious value. There has been extensive research to mimic animal-derived meat texture, flavour, mouthfeel, etc. However, there is still the perception that many of the plant-based proteins that have been texturized to mimic meat are still highly processed and contain chemicals or preservatives, reducing their appeal as being healthy and precluding any sustainable benefits. To counter this notion, the biotransformation of pulse proteins using enzymes or fermentation offers unique opportunities. Thus, this review will address the significance of pulse proteins in the alternative protein space and some of the processing aids leading to the isolation and modification of such protein concentrates in a sustainable manner. Fermentation-based valorization of pulse proteins will also be discussed as a “clean label” strategy (further adding to sustainable nutritious plant protein production), although some of the processes like the extensive use of water in submerged fermentation need to be addressed.
Experimental Characterization of Hydronic Air Coil Performance with Aluminum Oxide Nanofluids of Three Concentrations
Authors: Strandberg Roy , Ray Dustin , Das Debendra K.
Published: June 2024

This paper presents the continuation of experimental investigations conducted by the present authors to measure and compare the thermal and fluid dynamic performance of a residential hydronic air coil using nanofluids. The prior experiments were limited to testing only one volumetric concentration (1%) of aluminum oxide (Al2O3) nanofluid. They compared it with the base fluid, a 60% ethylene glycol/40% water mixture by mass (60% EG). The original tests revealed some deficiencies in the experimental setup, which was subsequently revised and improved. This paper summarizes the results of experiments from the improved test bed using three concentrations of Al2O3 nanofluids: 1, 2, and 3% volumetric concentrations prepared with an average particle size of 45 nm in a 60% EG dispersion. The test bed in these experiments simulates a small air handling system typical of heating, ventilation, and air conditioning (HVAC) applications in cold regions. Entering conditions for the air and liquid were selected to emulate typical commercial air handling systems operating in cold climates. Contrary to previous findings, our test results revealed that nanofluids did not perform as well as expected. Prior predictions from many analytical and numerical studies had promised significant performance gain. The performance of the 1% nanofluid was generally equal to that of the base fluid under identical inlet conditions. However, the performance of the 2% and 3% nanofluids was considerably lower than that of the base fluid. The higher concentration nanofluids exhibited heat rates up to 14.6% lower than the 60% EG and up to 44.3% lower heat transfer coefficient. The 1% Al2O3/60% EG exhibited a 100% higher pressure drop across the coil than the base fluid, considering equal heat output. This performance degradation was attributed to the inability to maintain nanofluid dispersion stability, agglomeration, and subsequent decline in the thermophysical properties.
A Controversial Make-Over of a ‘Make-Believe’ Heritage—The Transformation of Guangrenwang Temple
Authors: Tam Lui
Published: June 2024

This article discusses issues related to sustainable heritage management in China and problematises two dichotomies in heritage practices and research: the ‘Eastern/Western’ approaches and the tangible–intangible divide. It addresses these issues by examining the dramatic ‘make-over’ project of Guangrenwang Temple in Shanxi Province, China. The ‘make-over’ project transformed a small rural temple with a ninth-century timber structure into an architectural history museum, with a combination of private, public, and crowd-sourced funding. A real-estate corporation played a significant role in the project’s initiative and organised a large-scale national and international publicity campaign around the project. Previously unknown to most laypeople in China, the temple attracted much debate since the project’s completion, revolving around its ‘cultural legitimacy’, the design’s appropriateness, the sustainability of the revitalisation, and the implications of the project to its ‘heritage value’ and authenticity. This article traces the opinions, actions, and effects of the temple’s heritage assemblage and reveals the causal powers contributing to the emergence and transformation of associations within. It further questions the project team’s claims regarding the project’s effects on the historic setting’s authenticity and its long-term social impact on the relationship between the temple and its community. It reveals five controversies regarding the choice of its curation theme, architectural language, decision-making, and management models. The complexities manifested in the actors’ actions and effects demonstrate the ambiguous boundaries between the tangible and the intangible, and the perceived ‘Western’ and ‘Eastern’ approaches.
Weighted-Likelihood-Ratio-Based EWMA Schemes for Monitoring Geometric Distributions
Authors: Zhang Yizhen , Cai Hongxing , Zhang Jiujun
Published: June 2024

Monitoring the parameter of discrete distributions is common in industrial production. Also, it is often crucial to monitor the parameter of geometric distribution, which is often regarded as the nonconforming item rate. To enhance the detection of nonconforming item, we designed an exponentially weighted moving average (EWMA) scheme based on the weighted likelihood ratio test (WLRT) method, and this scheme is denoted as the EWLRT scheme, specifically designed for monitoring the increase of the parameter in geometric distribution. Moreover, the optimal statistical design of the EWLRT scheme is presented when the shift is known. Results from numerical comparisons through Monte Carlo simulations indicates that the EWLRT scheme performs better than the competing schemes in some scenarios. Additionally, the designed scheme is characterized by its simplicity and ease of use, making it ideally suited for scenarios involving single observation. An example is illustrated to demonstrate the effectiveness of the EWLRT scheme.
Precision Non-Alcoholic Fatty Liver Disease (NAFLD) Diagnosis: Leveraging Ensemble Machine Learning and Gender Insights for Cost-Effective Detection
Authors: Alizargar Azadeh , Chang Yang-Lang , Alkhaleefah Mohammad , Tan Tan-Hsu
Published: June 2024

Non-Alcoholic Fatty Liver Disease (NAFLD) is characterized by the accumulation of excess fat in the liver. If left undiagnosed and untreated during the early stages, NAFLD can progress to more severe conditions such as inflammation, liver fibrosis, cirrhosis, and even liver failure. In this study, machine learning techniques were employed to predict NAFLD using affordable and accessible laboratory test data, while the conventional technique hepatic steatosis index (HSI)was calculated for comparison. Six algorithms (random forest, K-nearest Neighbors, Logistic Regression, Support Vector Machine, extreme gradient boosting, decision tree), along with an ensemble model, were utilized for dataset analysis. The objective was to develop a cost-effective tool for enabling early diagnosis, leading to better management of the condition. The issue of imbalanced data was addressed using the Synthetic Minority Oversampling Technique Edited Nearest Neighbors (SMOTEENN). Various evaluation metrics including the F1 score, precision, accuracy, recall, confusion matrix, the mean absolute error (MAE), receiver operating characteristics (ROC), and area under the curve (AUC) were employed to assess the suitability of each technique for disease prediction. Experimental results using the National Health and Nutrition Examination Survey (NHANES) dataset demonstrated that the ensemble model achieved the highest accuracy (0.99) and AUC (1.00) compared to the machine learning techniques that we used and HSI. These findings indicate that the ensemble model holds potential as a beneficial tool for healthcare professionals to predict NAFLD, leveraging accessible and cost-effective laboratory test data.