bluuebunny/crossref_metadata_2025 huggingface dataset:
Genome-wide identification, expression and function analysis of the MTP gene family in tulip (Tulipa gesneriana)
Authors: Lu Jiaojiao , Xing Guimei , Zhang Yanqiu , Zhang Huihua , Wu Tianyu , Tian Zengzhi , Qu Lianwei
Published: February 2024

Currently, soil heavy metal contamination is a severe issue, particularly with Cd pollution. The metal tolerance protein (MTP) proteins, as plant divalent cation transporters, play a crucial role in the transport and tolerance of heavy metals in plants. This study conducted comprehensive identification and characterization of the MTP gene family in the tulip. A total of 11 TgMTP genes were identified and phylogenetically classified into three subfamilies. Conserved motif and gene structure analyses unveiled commonalities and variations among subfamily members. Expression profiling demonstrated several TgMTPs were markedly upregulated under Cd exposure, including the TgMTP7.1. Heterologous expression in yeast validated that TgMTP7.1 could ameliorate Cd sensitivity and enhance its tolerance. These results provide primary insights into the MTP gene family in tulip. Phylogenetic relationships and functional analyses establish a framework for elucidating the transporters and molecular mechanisms governing Cd accumulation and distribution in tulip. Key TgMTPs identified, exemplified by TgMTP7.1, may illuminate molecular breeding efforts aimed at developing Cd-tolerant cultivars for the remediation of soil Cd contamination.
UAV hyperspectral analysis of secondary salinization in arid oasis cotton fields: effects of FOD feature selection and SOA-RF
Authors: Wang Zeyuan , Ding Jianli , Tan Jiao , Liu Junhao , Zhang Tingting , Cai Weijian , Meng Shanshan
Published: February 2024

Secondary salinization is a crucial constraint on agricultural progress in arid regions. The specific mulching irrigation technique not only exacerbates secondary salinization but also complicates field-scale soil salinity monitoring. UAV hyperspectral remote sensing offers a monitoring method that is high-precision, high-efficiency, and short-cycle. In this study, UAV hyperspectral images were used to derive one-dimensional, textural, and three-dimensional feature variables using Competitive adaptive reweighted sampling (CARS), Gray-Level Co-occurrence Matrix (GLCM), Boruta Feature Selection (Boruta), and Brightness-Color-Index (BCI) with Fractional-order differentiation (FOD) processing. Additionally, three modeling strategies were developed (Strategy 1 involves constructing the model solely with the 20 single-band variable inputs screened by the CARS algorithm. In Strategy 2, 25 texture features augment Strategy 1, resulting in 45 feature variables for model construction. Strategy 3, building upon Strategy 2, incorporates six triple-band indices, totaling 51 variables used in the model’s construction) and integrated with the Seagull Optimization Algorithm for Random Forest (SOA-RF) models to predict soil electrical conductivity (EC) and delineate spatial distribution. The results demonstrated that fractional order differentiation highlights spectral features in noisy spectra, and different orders of differentiation reveal different hidden information. The correlation between soil EC and spectra varies with the order. 1.9th order differentiation is proved to be the best order for constructing one-dimensional indices; although the addition of texture features slightly improves the accuracy of the model, the integration of the three-waveband indices significantly improves the accuracy of the estimation, with an R2 of 0.9476. In contrast to the conventional RF model, the SOA-RF algorithm optimizes its parameters thereby significantly improving the accuracy and model stability. The optimal soil salinity prediction model proposed in this study can accurately, non-invasively and rapidly identify excessive salt accumulation in drip irrigation under membrane. It is of great significance to improve the growing conditions of cotton, increase the cotton yield, and promote the sustainable development of Xinjiang’s agricultural economy, and also provides a reference for the prevention and control of regional soil salinization.
In the shadow of dissidence: exploring the experiences of descendants of Czechoslovakian dissidents
Authors: Doubková Nikola , Heissler Radek , Sanders Edel , Preiss Marek
Published: February 2024

Introduction

The Communist Party’s reign in Czechoslovakia (1948–1989) saw the persecution of thousands of individuals. The State Security campaign “Asanace” (meaning “sanitation”) was conducted to expel critics of the regime from the country using psychological and physical terror. Although stories of dissidents are frequently presented in public spaces, little is known about the experiences of their children.

Methods

To address this gap, we conducted interpretative phenomenological analyses of semi-structured in-depth interviews with five adult descendants of Czechoslovakian dissidents.

Results

Our analyses revealed that while participants appreciated and were inspired by their parents’ dissident activities, they tend to distance themselves from it in order not to live in their parents’ shadow. Furthermore, for them, the “Asanace” campaign primarily meant emigration, which in turn affected their sense of self and (national) identity dispersion. Consequently, they experienced feelings of being uprooted and different. Furthermore, they faced challenges acculturating. However, they also recognized their resilience as being rooted in their migration experience and the legacy of their parents’ dissidence.

Discussion

By highlighting intergenerational differences and the impact of family legacy on individuals’ strengths and weaknesses, this study contributes to our understanding of the psychological consequences of living in, escaping from and adjusting to life beyond oppressive regimes.
State of the art of the literature on definitions of self-criticism: a meta-review
Authors: Zaccari Vittoria , Mancini Francesco , Rogier Guyonne
Published: February 2024

Background

Several authors have developed important theoretical models on an important transdiagnostic factor in psychopathology: self-criticism (SC). Currently, there are substantial variations in the theoretical definition of SC. The lack of awareness of similarities and differences between models may in turn impact the comparison between empirical results, limiting their clinical implications.

Purpose

The purpose of this study was to identify current trends in the field of SC and to explore whether these were approached and shaped by different conceptualizations of SC.

Methods

Core components of the most influential models of SC were identified. A meta-review was conducted searching for systematic reviews and/or meta-analyses in the following databases: PsycINFO, PsycARTICLES, MEDLINE, Scopus, Web of Science, and PubMed (all years up to 28 April 2023).

Results

Contributions were heterogeneous with respect to the definition of SC and the theoretical framework. Almost all systematic reviews poorly addressed the multidimensionality of SC. In addition, discrepancies between the definitions of SC provided and their operationalizations emerged.

Conclusions

The lack of dialogue between the different theoretical perspectives emerged from key contributions in the field of SC. Potential research questions to answer to stimulate this dialogue are proposed.
Characteristics and correlates of seclusion and mechanical restraint measures in a Parisian psychiatric hospital group
Authors: Dauriac-Le Masson Valerie , El-Khoury Lesueur Fabienne , Lahaye Justine , Launay Corinne , Christodoulou Alexandre , Boiteux Catherine , Maman Judith , Bonnemaison Xavier , Perquier Florence , Vacheron Marie-Noelle
Published: February 2024

Introduction

Seclusion or restraint (S/R) are last-resort measures used in psychiatry to ensure the safety of the patient and the staff. However, they have harmful physical and psychological effects on patients, and efforts to limit their use are needed. We describe the characteristics and correlates of S/R events in four Parisian psychiatric centers.

Methods

Within a 3-month period, November 5, 2018 to February 3, 2019, we recorded data for patients experiencing an S/R measure as well as characteristics of the measures. We studied the mean duration of a S/R event, the time between hospital admission and the occurrence of the event, as well as correlates of these durations. We also examined factors associated with use of a restraint versus a seclusion measure.

Results

For the 233 patients included, we recorded 217 seclusion measures and 64 mechanical restraints. Seclusion measures mostly occurred after the patient’s transfer from the emergency department. The duration of a seclusion measure was about 10 days. Patients considered resistant to psychotropic treatments more frequently had a longer seclusion duration than others. The mean duration of a mechanical restraint measure was 4 days. Male sex and younger age were associated with experiencing mechanical restraint.

Discussion

S/R measures mostly occur among patients perceived as resistant to psychotropic drugs who are arriving from the emergency department. Developing specific emergency department protocols might be useful in limiting the use of coercive measures.
Conceptualizing care partners' burden, stress, and support for reintegrating Veterans: a mixed methods study
Authors: Rattray Nicholas A. , Flanagan Mindy , Mann Allison , Danson Leah , Do Ai-Nghia , Natividad Diana , Spontak Katrina , True Gala
Published: February 2024

Background

People who support Veterans as they transition from their military service into civilian life may be at an increased risk of psychological distress. Existing studies focus primarily on paid family caregivers, but few studies include spouses and informal non-family “care partners.” We sought to identify key challenges faced by care partners of Veterans with invisible injuries.

Methods

Semi-structured interviews were conducted with 36 individuals involved in supporting a recently separated US military Veteran enrolled in a 2-year longitudinal study. CPs completed validated measures on perceived stress, caregiving burden, quality of their relationship, life satisfaction, and flourishing. Independent t-tests were used to compare cases in these groups on caregiving burden, quality of their relationship, life satisfaction, and flourishing. Care partners were categorized as reporting high and low levels of stress. Exemplar cases were used to demonstrate divergences in the experiences of CPs with different levels of stress over time.

Results

Care partners reported shifts in self-perception that occurred from supporting a Veteran, emphasizing how they helped Veterans navigate health systems and the processes of disclosing health and personal information in civilian contexts. Exemplar cases with high and low burdens demonstrated divergent experiences in self-perception, managing multi-faceted strain, and coping with stress over time. Case studies of specific care partners illustrate how multi-faceted strain shifted over time and is affected by additional burdens from childcare, financial responsibilities, or lack of education on mental health issues.

Conclusions

Findings suggest the unique needs of individuals who support military Veterans with invisible injuries, highlighting variations and diachronic elements of caregiving. This sample is younger than the typical caregiver sample with implications for how best to support unpaid care partners caring for Veterans in the early to mid-period of their use of VA and civilian health services.
Validation of French versions of the 15-item picker patient experience questionnaire for adults, teenagers, and children inpatients
Authors: Buclin Clement P. , Uribe Adriana , Daverio Justine E. , Iseli Arnaud , Siebert Johan N. , Haller Guy , Cullati Stéphane , Courvoisier Delphine S.
Published: February 2024

Objectives

No French validated concise scales are available for measuring the experience of inpatients in pediatrics. This study aims to adapt the adult PPE-15 to a pediatric population, and translating it in French, as well as to establish reference values for adults, teenagers, and parents of young children.

Methods

Cultural adaptation involved forward and backward translations, along with pretests in all three populations. Dimensional structure and internal consistency were assessed using principal component analysis, exploratory factor analysis, and Cronbach's alpha. Construct validity was assessed by examining established associations between patient satisfaction and inpatient variables, including length of stay, and preventable readmission.

Results

A total of 25,626 adults, 293 teenagers and 1,640 parents of young children completed the French questionnaires. Factor analysis supported a single dimension (Cronbach's alpha: adults: 0.85, teenagers: 0.82, parents: 0.80). Construct validity showed the expected pattern of association, with dissatisfaction correlating with patient- and stay-related factors, notably length of stay, and readmission.

Conclusion

The French versions of the PPE-15 for adults, teenagers and parents of pediatric patients stand as valid and reliable instruments for gauging patient satisfaction regarding their hospital stay after discharge.
The impact of smoking and alcohol consumption on rosacea: a multivariable Mendelian randomization study
Authors: Chu Zhaowei , Yi Mengyao , Yan Cong , Li Bingjie , Zhang Huan , Guo Kun , Geng Songmei
Published: February 2024

Backgrounds

Observational studies have shown that cigarette smoking is inversely associated with risk of rosacea, However, it remains uncertain whether this association is causal or it is a result of reverse causation, and whether this association is affected by drinking behaviors.

Methods

This study utilized the summary-level data from the largest genome-wide association study (GWAS) for smoking, alcohol consumption, and rosacea. The objective was to investigate the effect of genetically predicted exposures to smoking and alcohol consumption on the risk of developing rosacea. Two-sample bidirectional Mendelian randomization (MR) was applied, accompanied by sensitive analyses to validate the robustness of findings. Furthermore, multivariable MR was conducted to evaluate the direct impact of smoking on rosacea.

Results

A decreased risk of rosacea was observed in individuals with genetically predicted lifetime smoking [odds ratio (OR)MR − IVW = 0.53; 95% confidence interval (CI), 0.318–0.897; P = 0.017], and number of cigarettes per day (ORMR − IVW = 0.55; 95% CI, 0.358–0.845; P = 0.006). However, no significant associations were found between initiation of regular smoking, smoking cessation, smoking initiation, alcohol consumption and rosacea. Reverse MR analysis did not show any associations between genetic liability toward rosacea and smoking or alcohol drinking. Importantly, the effect of lifetime smoking and the number of cigarettes per day on rosacea remained significant even after adjusting for alcohol consumption in multivariable MR analysis.

Conclusion

Smoking was causally related to a lower risk of rosacea, while alcohol consumption does not appear to be associated with risk of rosacea.
Laying foundations for a “Right to Improve”
Authors: Lebloch Kaspar , Rafetseder Albert
Published: February 2024

In this work, we introduce the vision of a “Right to Improve”: a hypothetical future law which should entitle consumers to modify and extend Internet of Things devices during the productive lifetime. Current European Union legislation as well as voluntary manufacturer interoperability initiatives fail to address user desires for adaptability, augmentability, and open-ended repurpoposing of Internet of Things (IoT) devices. We therefore argue in this paper for a Right to Improve that aims to fill the gaps left by today’s laws, conforms to consumer demands, and is powerful enough (by its statutory nature) to cause actual change. Our contribution is twofold. First, we summarize the relevant legislation (Ecodesign Directive, Sale of Goods Directive, and Right to Repair). We review the academic literature, and highlight technical and motivational factors that support a Right to Improve. Second, we suggest and discuss a number of open problems in need of consideration by academics, practitioners, companies, governing bodies, and the general public. A future formulation of the Right to Improve should take into account and balance the various contrasting views for efficacy on different levels, e.g., environmental benefit vs. economic risk. Change enabled by a Right to Improve may greatly enhance the usefulness of devices during their use phase, empowers consumers to create and compose devices and services to their own taste and requirements, makes devices more economically and ecologically sustainable by extending their useful lifetime, and creates new business opportunities.
A scoping review of gaze and eye tracking-based control methods for assistive robotic arms
Authors: Fischer-Janzen Anke , Wendt Thomas M. , Van Laerhoven Kristof
Published: February 2024

Background: Assistive Robotic Arms are designed to assist physically disabled people with daily activities. Existing joysticks and head controls are not applicable for severely disabled people such as people with Locked-in Syndrome. Therefore, eye tracking control is part of ongoing research. The related literature spans many disciplines, creating a heterogeneous field that makes it difficult to gain an overview.

Objectives: This work focuses on ARAs that are controlled by gaze and eye movements. By answering the research questions, this paper provides details on the design of the systems, a comparison of input modalities, methods for measuring the performance of these controls, and an outlook on research areas that gained interest in recent years.

Methods: This review was conducted as outlined in the PRISMA 2020 Statement. After identifying a wide range of approaches in use the authors decided to use the PRISMA-ScR extension for a scoping review to present the results. The identification process was carried out by screening three databases. After the screening process, a snowball search was conducted.

Results: 39 articles and 6 reviews were included in this article. Characteristics related to the system and study design were extracted and presented divided into three groups based on the use of eye tracking.

Conclusion: This paper aims to provide an overview for researchers new to the field by offering insight into eye tracking based robot controllers. We have identified open questions that need to be answered in order to provide people with severe motor function loss with systems that are highly useable and accessible.
Endovascular management of acute and subacute venous thoracic outlet syndrome
Authors: Davies Mark G. , Hart Joseph P.
Published: February 2024

Approximately 3% of all patients presenting with Thoracic Outlet Syndrome have a venous etiology (vTOS), which is considered “effort thrombosis”. These patients will present with symptomatic deep venous thrombosis or focal subclavian vein (SCV) stenosis. Endovascular management of vTOS occurs in several phases: diagnostic, preoperative therapeutic intervention before decompression, postoperative interventions after decompression, and delayed interventions in the follow-up after decompression. In the diagnostic phase, dynamic SCV venography can establish functional vTOS. Approximately 4,000 patients have been treated for vTOS and reported in the literature since 1970. Declotting of the SCV was followed by surgical decompression in 53% of patients, while in the remainder, surgical decompression alone (18%), endovascular intervention alone (15%), or conservative therapy with anticoagulation (15%) was performed. The initial intervention was predominantly catheter-directed thrombolysis, with <10% of cases undergoing concomitant balloon angioplasty. 93% of cases were successful. In the postoperative phase, balloon angioplasty was performed to correct residual intrinsic SCV disease after vTOS decompression in under 15% of cases. Stents were rarely deployed. Symptom relief was reported as 94 ± 12% (mean ± SD) and 90 ± 23%, respectively for declotting with decompression and declotting alone. In the delayed phase, balloon angioplasty was performed in under 15% of cases to re-establish patency.
Impact of the COVID-19 Pandemic on Prenatal Care Utilization Among Italian and Immigrant Pregnant Women: A Multicenter Survey
Authors: Vilca Luz Maria , Sarno Laura , Passoni Davide , Antonazzo Patrizio , Pellegrini Edda , Guida Maurizio , Cesari Elena , Cetin Irene
Published: February 2024

Objectives: To compare the utilization of prenatal services between immigrant and Italian women during the COVID-19 pandemic.

Methods: A cross-sectional survey was conducted at 3 maternity care centers in Italy.

Results: We included 1,312 women, 1,198 (91.3%) were Italian and 114 (8.7%) were immigrants. A significantly higher proportion of Italians underwent 8 or more prenatal care visits (64.4% vs. 54.4%, p = 0.03) and more immigrants than Italians attended their appointments at hospital settings (45% vs. 18%, p < 0.001). Regarding prenatal course, Italians were more likely than immigrants to attend a non-hospital setting or an online class (49.6% and 30.2% vs. 34.9% and 11.6%, p = 0.008). A higher influenza vaccine uptake among immigrants compared with Italians was observed (39.5% vs. 19.8%, p < 0.001). Among women not receiving certain prenatal services, immigrants were more likely to state COVID-19 pandemic was the main reason for non-compliance.

Conclusion: Immigrant pregnant women were more likely to receive prenatal services at a hospital setting than their Italian counterparts. Among women who did not comply with prenatal services, immigrants were more likely to cite the pandemic as their main reason.
Synthesis and CAD-Examination of a Cylindrical Gear Pair Derived from a Cosine Profiled Rack
Authors: Máté Márton , Gál Károly-István , Tolvaly-Roșca Ferenc
Published: February 2024

The problematic of gear profiles has again come to the fore during the power demands imposed by technical development. Most of nowadays gears have involute profile due to its numerous ad-vantages. The most important is that that axis distance variation does not affect the transmission ratio. According to [1], a cosine gear drive has a lower slip coefficient and the contact and bending stresses by charge are significantly lower compared to an involute gear. This paper presents a study regarding the generation synthesis of a cosine profiled gear pair, using a single cosine profiled rack, in a CAD environment. The profile of the generating rack and the mathematical computations of the equations of gearing were performed in a Mathcad environment. The tool models were created in Autodesk Inventor. Then it was implemented in Autodesk AutoCAD and using its special programming language (Auto lisp), a simultaneous subtraction-rolling method was used to obtain a realistic simulation of the meshing of the cut gear with the rack. Implementing the generated gears in Autodesk Inventor environment, tests were performed in order to compare the cosine profile of the generated gears with the profile of the involute gears. In the near future, we intend to exploit the results obtained and compare the transmission quality of the involute gears with the cosine gears.
Case Studies from the Last 5 Years’ Restoration Projects of Historic Monuments in Sopron
Authors: Tárkányi Sándor
Published: February 2024

During the period between 2017 and 2022, the facades of 25 buildings were renovated within the framework of the Modern Towns Program in Sopron. Due to the development supported by the Hungarian Government, the Lenck House was born again and a Museum Quarter was established by the joint opening of the buildings at 6-7-8 Fő tér. This study describes the restoration process of the facades of three historic buildings, giving an insight even into the processes of authorization and execution. The aim is to present the work of the Hungarian authorities in the field of the protection of historic monuments (with special regard to Sopron), and to highlight the results of such renovations of historic buildings that have been carried out lately.
Entrepreneurship and Innovation—Process Overlap or the Same? Systematic Overview and Converging Process-Dynamic Model
Authors: Vettik-Leemet Piia , Mets Tõnis
Published: February 2024

Recently, there has been increased discussion of entrepreneurship and innovation as process-based phenomena. However, research on the essence of dynamic entrepreneurial and innovation processes and their simultaneous interactions needs to be more cohesive and well-covered. This article critically reviews prior publications and explores the process approach to entrepreneurial and innovation processes. Structuration and equivalence theory, systems and design thinking, and pattern matching theory were implemented to structure and synthesise a converged operationalised dynamic process model. Exploring different approaches to entrepreneurial and innovation processes by screening 468 publications on entrepreneurship and 527 on innovation and a critical review of prior findings, the article identified only 17 and 13 dynamic process models, respectively. Six structurally comparable models covering both disciplines were selected for further analysis. Both disciplines’ dynamic process models can be structured into five harmonised stages, which can partly be divided into (sub)phases. The article’s primary contribution to the theory is systematically integrating process-based and design approaches in entrepreneurship and innovation. As a result, a streamlined and converged dynamic process model is developed, and the role of the process venue and the entrepreneur or innovator is discussed. As a practical implication, future directions for entrepreneurship and innovation educators, policymakers, and entrepreneurial/innovation ecosystem stakeholders are presented at the end of the article.
Prediction of Training Cost and Difficulty for Aircraft-Type Transition Based on Similarity Assessment
Authors: Cao Kang , Zhang Yongjie , Feng Jianfei
Published: February 2024

As aviation technology advances, numerous new aircraft enter the market. These not only offer airlines technological and fuel efficiency advantages but also present the challenge of how to conduct pilots’ aircraft-type transition training efficiently and economically. To address this issue, this study designed a methodology to quantitatively assess the similarity in panel display control design and standard operating procedures (SOPs) between aircraft types. Then, by combining the results of a questionnaire survey on A320, A330, B737, and B777 transition training and training cost data, it was verified quantitatively that inter-aircraft similarity has a positive impact on reducing the difficulty and cost of transition training. Taking the similarity in aircraft types as a feature, the KNN algorithm was used to successfully construct a difficulty prediction model for the training program of aircraft-type transition training. To overcome the limitation of insufficient training cost data volume, this study adopts the transfer learning method to construct a prediction model of the transition training cost, and the final significant prediction accuracy proves the effectiveness of the method. The research in this paper not only provides strong data support for the resource planning and cost management of airlines’ aircraft-type transition training but also provides new research perspectives and methodological guidance for the field of aviation training.
Assessment of the Allelopathic Activity of Various Parts of Platycodon (Platycodon grandiflorus) and Its Mitigation by Activated Carbon
Authors: Bao Long , Zhao Xuemei , Kang Gaowa , Suzuki Kaito , Ismail Tamer , Fujii Yoshiharu , Motoki Satoru
Published: February 2024

Platycodon is a medicinal plant of considerable pharmacological and dietary value. With the growing demand, agricultural production is increasing. However, the continuous cropping significantly causes negative impacts on its yield and quality. In this study, in order to solve the problem of continuous cropping, we evaluated the allelopathic activity of Platycodon and investigated the potential use of activated carbon for mitigating the negative impacts of allelopathic chemicals produced by Platycodon. The sandwich method (method for assaying the allelopathic activity of each part of a plant) was employed to evaluate the allelopathic activity of different parts (leaves, stems, and roots) of Platycodon. The inhibitory effects of various Platycodon plant parts were assessed based on their effects on lettuce seedling growth. At a concentration of 10 mg parts/10 mL agar, the average inhibition rates of Platycodon leaves on the radicle and hypocotyl growth of lettuce were 79.4% and 61.8%, stems 58.0% and 45.7%, and roots 53.4% and 49.3%, respectively. At a concentration of 50 mg parts/10 mL agar, the inhibitory effects were as follows: leaves (91.9%, 72.2%), stems (79.5%, 60.3%), and roots (71.4%, 65.2%). The effect of activated carbon on the adsorption of allelopathic substances was investigated, and the results of the sandwich method with a concentration of 10 mg parts/10 mL agar showed the following growth-inhibitory effects on lettuce seedlings and hypocotyls—roots (27.8%, 25.7%), leaves (13.3%, 25.7%), and stems (9.1%, 13.6%)—in each case showing a significant decrease in the inhibitory activity. The plant box method (method for assaying the allelopathic activity of plant root exudates) was employed to evaluate the activity of Platycodon root exudate. The growth inhibition rates of lettuce radicle and hypocotyls were 45.5% and 18.9%, respectively. The plant box method with addition of activated carbon revealed average rates of promotion of 16.7% and 4.7% on the growth of lettuce seedlings and hypocotyls, respectively. The results of this study demonstrated that activated carbon has a mitigating effect on allelopathic inhibition associated with the different plant parts and root exudation of Platycodon and provide a potential solution for overcoming problems associated with the continuous cropping of Platycodon.
A Path Planning System for Orchard Mower Based on Improved A* Algorithm
Authors: Zhang Mengke , Li Xiaoguang , Wang Ling , Jin Liujian , Wang Shubo
Published: February 2024

The application of intelligent mobile robots in agriculture has emerged as a new research frontier, with the integration of autonomous navigation technology and intelligent agricultural robots being the key to the widespread adoption of smart agricultural machinery. This paper investigates comprehensive coverage path planning for tracked lawnmowers within orchard environments and addresses challenges related to task allocation and battery life. Firstly, in this study, the motion model of the tracked lawnmower was initially simplified based on assumptions about the orchard environment. Force analyses were conducted on each of its motion mechanisms. For the known orchard environment, a grid-based mapping technique was employed to model the orchard environment. Then, in order to improve the algorithm speed and reduce the number of turns during the lawnmower’s traversal, the A* search algorithm was enhanced by combining the method of robot cluster traversal in the orchard environment. Finally, the improved method was simulated and verified in the MATLAB platform to investigate the influence of the number of lawnmower clusters on the path planning in the connected and non-connected orchards. Furthermore, two sets of on-site field trials were meticulously designed to validate the reliability, practicality, and efficacy of the simulation experiments.
Transcriptome Analysis Provides Valuable Insights into Leaf Size Variation in Rhamnus heterophylla
Authors: Shang Huiying , Xun Lulu , Miao Tao , Chen Chen , Lu Yuan , Li Bin
Published: February 2024

The size of leaves is a vital factor in the development and overall biomass of a plant, serving as a key indicator of how a plant adapts to its environment. Rhamnus heterophylla, a species known for its heteromorphic leaves of varying sizes, presents an intriguing case for studying leaf development at the molecular level. To gain insights for further studies on the underlying mechanisms, we constructed a comprehensive reference transcriptome database using both SMART sequencing and Illumina RNA-seq technologies. Our analysis of the transcriptome data identified 88,546 isoforms, featuring an N50 size of 2386 base pairs. Furthermore, we identified 2932 transcription factors from 55 gene families, along with 14,947 unigenes that underwent alternative splicing. By comparing the gene expression patterns between large and small leaves, we pinpointed 982 differentially expressed genes (DEGs). Among these DEGs, 116 genes exhibit significantly greater activity in small leaves, while 866 genes display significantly greater activity in large leaves. Functional enrichment analyses revealed the significant involvement of these DEGs in various hormone signaling pathways. Notably, we detected a significant decrease in the expression of several genes associated with auxin synthesis, such as ARFs, GRF8, and IAA27, in small leaves. This finding sheds light on their potential role in leaf size regulation in R. heterophylla, providing valuable insights into the genes underlying this mechanism.
A Calibration Facility for Hot-Wire Anemometers in Extremely Low Speed with Air Temperature and Humidity Variable and Controllable
Authors: Zhou Tingbo , Zhang Zhengke , Tian Yongqiang , Xi Zhongxiang , Dou Xiaomu , Liu Weidong , Zhang Guobiao , Gao Chao
Published: February 2024

Aimed at addressing the difficult problems existing in extremely low speed calibration facilities for hot-wire anemometers, where calibration accuracy is often insufficient and vulnerable to the contamination from temperature and humidity discrepancies between the calibration environment and the application environment, a calibration rig with a velocity range from 0.10 m/s to 1.0 m/s, an air temperature range of ambient temperature to 60 °C, and a humidity range from 20%RH to 80%RH was designed, developed, and constructed. The overall layout arrangement and the mechanical structure of the facility are illustrated. The master control system, the motion control system, the temperature and humidity control system are designed, tested and adjusted. The adjustment results are demonstrated and discussed. The analysis of the results reveals that the maximum velocity control error is 0.000989 m/s, satisfying the design target of 0.003 m/s; the corresponding maximum relative error is 0.241%, which is less than the design target of 0.4%; the maximum temperature control error is 0.9 °C, meeting the design target accuracy of 1 °C; the maximum humidity control error is 2.9%RH, which is below the design target of 4%RH. When the facility is applied to the calibration of a hot-wire anemometer, the maximum error of the fitting curves in modified King’s law is 0.02236 m/s, while that in Van der Hegge Zijnen’s formula is 0.023217 m/s, both of which satisfy the design target accuracy of 0.03 m/s. The maximum relative errors of fitting curves using the two formulas are 5.214% and 8.527%, respectively. Analysis of calibration data reveals that the discrepancy in temperature and humidity between application site and calibration site may bring errors that can reach up to 1.2676% per unit relative humidity discrepancy, and 5.672% per degree Celsius of temperature deviation, respectively.
Application of Semi-Supervised Learning Model to Coal Sample Classification
Authors: Wang Dongming , Xu Li , Gao Wei , Xia Hongwei , Guo Ning , Ren Xiaohan
Published: February 2024

As an extremely important energy source, improving the efficiency and accuracy of coal classification is important for industrial production and pollution reduction. Laser-induced breakdown spectroscopy (LIBS) is a new technology for coal classification which has the ability to rapidly analyze coal compared with traditional coal analysis methods. In the practical application of LIBS, a large amount of labeling data is usually required, but it is quite difficult to obtain labeling data in industrial sites. In this paper, to address the problem of insufficient labeled data, a semi-supervised classification model (SGAN) based on adversarial neural network is proposed, which can utilize unlabeled data to improve the classification accuracy. The effects of labeled and unlabeled samples on the classification accuracy of the SGAN model are investigated, and the results show that the number of labeled and unlabeled samples are positively correlated, and the highest average classification accuracy that the model can achieve is 98.5%. In addition, the classification accuracies of SGAN and other models (e.g., CNN, RF) are also compared, and the results show that, with the same number of labeled samples in the three models, SGAN performs better after the number of unlabeled samples reaches a certain level, with an improvement of 0.7% and 2.5% compared to the CNN and RF models, respectively. This study provides new ideas for the application of semi-supervised learning in LIBS.
Im/Materiality in Renaissance Arts
Authors: van Orden Kate , Pon Lisa
Published: February 2024

The inspiration for this Special Issue on Im/Materiality in Renaissance Arts arose from two convictions: (1) that sensual experiences and the physicality of creation must be a part of our accounts of the past, and (2) that crosstalk among scholars of music, literature, art, and architecture can reveal both the historiographical gaps endemic to specific disciplines and the critical tools each specialty brings to the project of incorporating living, breathing artists, builders, poets, singers, players, worshippers, scientists, and others into histories of the Renaissance arts [...]
High Gravity-Enhanced Direct Air Capture: A Leap Forward in CO2 Adsorption Technology
Authors: Wang Shufei , Liu Youzhi , Zhang Chengqian , Guo Shuwei , Li Yuliang
Published: February 2024

Given the global pressure of climate change and ecological equilibrium, there is an urgent need to develop effective carbon dioxide (CO2) capture technology. Due to its comprehensiveness and flexibility, Direct Air Capture (DAC) technology has emerged as a vital supplement to traditional emission reduction methods. This study aims to innovate Direct Air Capture (DAC) technology by utilizing the ultrasonic impregnation method to load Tetraethylenepentamine (TEPA) onto alumina (Al2O3) as the adsorbent. Furthermore, high gravity adsorption technology is integrated to significantly enhance the efficiency of DAC. Characterization tests, including BET, FTIR, TG, XRD, and SEM-EDS, confirm the structural stability and high capture capacity of the adsorbent. Additionally, this study demonstrates the rapid and efficient capture of CO2 from the air using TEPA-Al2O3 adsorbent under high gravity conditions for the first time. Under optimal conditions with TEPA loading at 15.06%, a high gravity factor of 2.67, and a gas flow rate of 30 L/min, TEPA-Al2O3 achieves a CO2 adsorption capacity of 48.5 mg/g in RAB, which is an improvement of 15.56 mg/g compared to traditional fixed-bed technology. Moreover, it reaches adsorption saturation faster under high gravity conditions, exhibiting a significantly higher adsorption rate compared to traditional fixed-bed systems. Furthermore, the adsorption process better conforms to the Avrami model. Steam stripping regeneration is utilized to regenerate the adsorbent, demonstrating excellent regeneration performance and stable adsorption capacity, thereby proving its feasibility and economic benefits as a DAC technology.
Multi-Scale Analysis of Grain Size in the Component Structures of Sediments Accumulated along the Desert-Loess Transition Zone of the Tengger Desert and Implications for Sources and Aeolian Dust Transportation
Authors: Yang Xinran , Peng Jun , Liu Bing , Liu Yingna
Published: February 2024

Aeolian sediments accumulated along the desert-loess transition zone of the Tengger Desert include heterogeneous textures and complex component structures in their grain-size distributions (GSD). However, the sources of these aeolian sediments have not been resolved due to the lack of large reference GSD sample datasets from adjacent regions that contain various types of sediments; such datasets could be used for fingerprinting based on grain-size properties. This lack of knowledge hinders our understanding of the mechanism of aeolian dust releases in these regions and the effects of forcing of atmospheric circulations on the transportation and accumulation of sediments in this region. In this study, we employed a multi-scale grain-size analysis method, i.e., a combination of the single-sample unmixing (SSU) and the parametric end-member modelling (PEMM) techniques, to resolve the component structures of sediments that had accumulated along the desert-loess transition zone of the Tengger Desert. We have also analyzed the component structures of GSDs of various types of sediments, including mobile and fixed sand dunes, lake sediments, and loess sediments from surrounding regions. Our results demonstrate that the patterns observed in coarser fractions of sediments (i.e., sediments with a mode grain size of >100 μm) from the transition zone match well with the patterns of component structures of several types of sediments from the interior of the Tengger Desert, and the patterns seen in the finer fractions (i.e., fine, medium, and coarse silts with a modal size of <63 μm) were broadly consistent with those of loess sediments from the Qilian Mountains. The deflation/erosion of loess from the Qilian Mountains by wind was the most important mechanism underlying the production of these finer grain-size fractions. The East Asia winter monsoon (EAWM) played a key role in transportation of the aeolian dust from these source regions to the desert-loess transition zone of the desert.
Study on the Vertical Distribution and Transport of Aerosols in the Joint Observation of Satellite and Ground-Based LiDAR
Authors: Yang Hao , Zhu Xiaomeng , Fang Zhiyuan , Qiu Duoyang , Hu Yalin , Tian Chunyan , Ming Fei
Published: February 2024

The mechanism of aerosol pollution transport remains highly elusive owing to the myriad of influential factors. In this study, ground station data, satellite data, ground-based LiDAR remote sensing data, sounding data, ERA5 reanalysis and a backward trajectory model were combined to investigate the formation process and optical properties of winter aerosol pollution in Beijing and surrounding areas. The analysis of ground station data shows that compared to 2019 and 2021, the pandemic lockdown policy resulted in a decrease in the total number of pollution days and a decrease in the average concentration of particulate matter in the Beijing area in 2020. The terrain characteristics of the Beijing-Tianjin-Hebei (BTH) made it prone to northeast and southwest winds. The highest incidence of aerosol pollution in Beijing occurs in February and March during the spring and winter seasons. Analysis of a typical heavy aerosol pollution process in the Beijing area from 28 February to 5 March 2019 shows that dust and fine particulate matter contributed to the primary pollution; surface air temperature inversion and an average wind speed of less than 3 m/s were conducive to the continuous accumulation of pollutants, which was accompanied by the oxidation reaction of NO2 and O3, forming photochemical pollution. The heavy aerosol pollution was transmitted and diffused towards the southeast, gradually eliminating the pollution. Our results provide relevant research support for the prevention and control of aerosol pollution.
Understanding Sparkling Wine Consumers and Purchase Cues: A Wine Involvement Perspective
Authors: Pickering Gary J. , Kemp Belinda
Published: February 2024

Research on sparkling wine (SW) consumers, their market segmentation, and how they use purchase cues is relatively sparse compared to that for table wine, despite the substantial growth in sparkling wine in recent years. We address these gaps and particularly how the importance of SW purchase cues varies with wine involvement in an online survey of SW consumers from Ontario, Canada (n = 1011). Thirty intrinsic and extrinsic purchase cues were rated for importance (n = 609), and wine involvement was determined using the shortened version of the wine involvement scale. Overall, consumers rated (in descending order) price, flavour, quality, country, and sweetness level as the most important purchase cues, whereas several extrinsic factors, including bottle colour and shape, awards won, and vintage were of low importance. Females were 1.4 times more likely than males to cite target end use as the most important purchase cue. We further show that SW consumers can be segmented into three wine involvement categories (low, medium, high) which vary across multiple demographic, consumption, knowledge, and preference measures (n = 1003). Notably, the importance of six purchase cue categories (manufacture, price, endorsements, parentage, prestige/reputation, and place) varied with wine involvement (n = 609). These findings provide timely guidance for marketers and retailers seeking to align their products and communications with the needs and perceptions of SW consumers.
Feasibility of High-Cellular-Resolution Full-Field, Artificial-Intelligence-Assisted, Real-Time Optical Coherence Tomography in the Evaluation of Vitiligo: A Prospective Longitudinal Follow-Up Study
Authors: Lu Lai-Ying , Chen Yi-Ting , Chen I-Ling , Shih Yu-Chang , Liu Rosalie Tzu-Li , Lai Yi-Jing , Ng Chau Yee
Published: February 2024

Vitiligo, a psychologically distressing pigmentary disorder characterized by white depigmented patches due to melanocyte loss, necessitates non-invasive tools for early detection and treatment response monitoring. High-cellular-resolution full-field optical coherence tomography (CRFF-OCT) is emerging in pigmentary disorder assessment, but its applicability in vitiligo repigmentation after tissue grafting remains unexplored. To investigate the feasibility of CRFF-OCT for evaluating vitiligo lesions following tissue grafting, our investigation involved ten vitiligo patients who underwent suction blister epidermal grafting and laser ablation at a tertiary center between 2021 and 2022. Over a six-month period, clinical features, dermoscopy, and photography data were recorded. Utilizing CRFF-OCT along with artificial intelligence (AI) applications, repigmentation features were captured and analyzed. The CRFF-OCT analysis revealed a distinct dark band in vitiligo lesion skin, indicating melanin loss. Grafted areas exhibited melanocytes with dendrites around the epidermal-dermal junction and hair follicles. CRFF-OCT demonstrated its efficacy in the early detection of melanocyte recovery and accurate melanin quantification. This study introduces CRFF-OCT as a real-time, non-invasive, and in vivo evaluation tool for assessing vitiligo repigmentation, offering valuable insights into pigmentary disorders and treatment responses.