bluuebunny/crossref_metadata_2025 huggingface dataset:
Post-marketing safety of lorlatinib: a real-world study based on the FDA adverse event reporting system
Authors: Li Huqun , Wang Chongshu , Guo Cuilian
Published: June 2024

Background

Lorlatinib displays marked systemic and intracranial efficacy against anaplastic lymphoma kinase (ALK) positive non-small cell lung cancer (NSCLC). We aimed to establish the safety profile of lorlatinib based on the Food and Drug Administration Adverse Event Reporting System (FAERS).

Methods

Reports from the FAERS between 2019 and 2023 were collected to conduct the disproportionality analysis. Reporting odds ratio (ROR) was employed to detect the potential adverse events (AEs) related to lorlatinib. The clinical characteristics, age and gender differences, time to onset of AEs were also investigated.

Results

A total of 2,941 AE reports were found to be associated with lorlatinib among the 8,818,870 AE reports obtained from the FAERS database. 167 lorlatinib-related AE signals were identified. The frequently reported AEs including hypercholesterolemia, oedema, and cognitive disorder were in line with those observed in clinical trials and drug instruction. However, AEs such as interstitial lung disease and AV block indicated in the drug label require further evaluation. More attention should be paid to the new potential unexpected AEs including pulmonary arterial hypertension and radiation necrosis. Furthermore, we examined the specific high-risk AEs of different ages and genders. In addition, majority of AEs occurred within the first 2 months after lorlatinib initiation with a median onset time of 51 days.

Conclusion

Our study provides valuable insight into the post-marketing safety profile of lorlatinib, which can potentially benefit the rational and safe administration of lorlatinib in the clinic. Further prospective studies are needed to validate the associations between lorlatinib and the identified AEs.
Zn(II)–curcumin prevents cadmium-aggravated diabetic nephropathy by regulating gut microbiota and zinc homeostasis
Authors: Sun Wenjia , Mei Xueting , Wang Jiasheng , Mai Zhicong , Xu Donghui
Published: June 2024

Background: Diabetic nephropathy (DN) is known as the most common complication of diabetes, resulting from a complex inheritance-environment interaction without effective clinical treatments. Herein, we revealed the protective effects and mechanisms of Zn(II)-curcumin, a curcumin derivative, against streptozotocin-induced DN in rats in the presence or absence of cadmium exposure.

Methods: The present study focused on investigating the therapy of Zn(II)-curcumin against cadmium-aggravated DN by regulating gut microbiota, metabolism, inflammation and zinc homeostasis based on pathological changes, TLR4/NF-κB signaling pathway, inductively coupled plasma-mass spectrometry (ICP-MS), 16S rRNA gene sequencing and gas chromatography-mass spectrometer (GC-MS).

Results: We found Zn(II)-curcumin significantly mitigated the cadmium-aggravated phenotypes of diabetic nephropathy, as indicated by the remission of renal dysfunction, pathological changes, inflammation and zinc dyshomeostasis in streptozotocin-treated rats exposed to cadmium. Administration of Zn(II)-curcumin significantly alleviated the dysbiosis of gut microbiota and the changes of serum metabolite profiles in rats treated with streptozotocin in combination with cadmium. Notably, fecal microbial transplantation identified the ability of Zn(II)-curcumin to regulate renal function, inflammation and zinc homeostasis was partly dependent on the gut microbiota.

Conclusion: These findings revealed that Zn(II)-curcumin alleviated cadmium-aggravated diabetic nephropathy by reshaping the gut microbiota and zinc homeostasis, which provided unique insights into the mechanisms of the treatment and prevention of diabetic nephropathy.
Development of a machine vision-based weight prediction system of butterhead lettuce (Lactuca sativa L.) using deep learning models for industrial plant factory
Authors: Kim Jung-Sun Gloria , Moon Seongje , Park Junyoung , Kim Taehyeong , Chung Soo
Published: June 2024

Introduction

Indoor agriculture, especially plant factories, becomes essential because of the advantages of cultivating crops yearly to address global food shortages. Plant factories have been growing in scale as commercialized. Developing an on-site system that estimates the fresh weight of crops non-destructively for decision-making on harvest time is necessary to maximize yield and profits. However, a multi-layer growing environment with on-site workers is too confined and crowded to develop a high-performance system.

This research developed a machine vision-based fresh weight estimation system to monitor crops from the transplant stage to harvest with less physical labor in an on-site industrial plant factory.

Methods

A linear motion guide with a camera rail moving in both the x-axis and y-axis directions was produced and mounted on a cultivating rack with a height under 35 cm to get consistent images of crops from the top view. Raspberry Pi4 controlled its operation to capture images automatically every hour. The fresh weight was manually measured eleven times for four months to use as the ground-truth weight of the models. The attained images were preprocessed and used to develop weight prediction models based on manual and automatic feature extraction.

Results and discussion

The performance of models was compared, and the best performance among them was the automatic feature extraction-based model using convolutional neural networks (CNN; ResNet18). The CNN-based model on automatic feature extraction from images performed much better than any other manual feature extraction-based models with 0.95 of the coefficients of determination (R2) and 8.06 g of root mean square error (RMSE). However, another multiplayer perceptron model (MLP_2) was more appropriate to be adopted on-site since it showed around nine times faster inference time than CNN with a little less R2 (0.93). Through this study, field workers in a confined indoor farming environment can measure the fresh weight of crops non-destructively and easily. In addition, it would help to decide when to harvest on the spot.
A method for durian precise fertilization based on improved radial basis neural network algorithm
Authors: Tang Ruipeng , Wei Sun , Jianxun Tang , Aridas Narendra Kumar , Talip Mohamad Sofian Abu
Published: June 2024

Introduction

Durian is one of the tropical fruits that requires soil nutrients in its cultivation. It is important to understand the relationship between the content of critical nutrients, such as nitrogen (N), phosphorus (P), and potassium (K) in the soil and durian yield. How to optimize the fertilization plan is also important to the durian planting.

Methods

Thus, this study proposes an Improved Radial Basis Neural Network Algorithm (IM-RBNNA) in the durian precision fertilization. It uses the gray wolf algorithm to optimize the weights and thresholds of the RBNNA algorithm, which can improve the prediction accuracy of the RBNNA algorithm for the soil nutrient content and its relationship with the durian yield. It also collects the soil nutrients and historical yield data to build the IM-RBNNA model and compare with other similar algorithms.

Results

The results show that the IM-RBNNA algorithm is better than the other three algorithms in the average relative error, average absolute error, and coefficient of determination between the predicted and true values of soil N, K, and P fertilizer contents. It also predicts the relationship between soil nutrients and yield, which is closer to the true value.

Discussion

It shows that the IM-RBNNA algorithm can accurately predict the durian soil nutrient content and yield, which is benefited for farmers to make agronomic plans and management strategies. It uses soil nutrient resources efficiently, which reduces the environmental negative impacts. It also ensures that the durian tree can obtain the appropriate amount of nutrients, maximize its growth potential, reduce production costs, and increase yields.
Mental rotation abilities of gymnasts and soccer players: a comparison of egocentric and object-based transformations. An exploratory and preliminary study
Authors: Klotzbier Thomas Jürgen , Schott Nadja
Published: June 2024

Background and objectives

The experience obtained from motor expertise may contribute to and enhance the development of particular visuo-spatial abilities. This exploratory and preliminary study compares the response times of a mental rotation task with egocentric and object-based transformation instructions between soccer players of varying performance levels and gymnasts.

Methods

Fifty-six male participants were grouped based on their sports experience. Soccer-specific novices (SS-N: n = 19; age = 15.9 ± 0.87), soccer-specific experts (SS-E: n = 17; age = 16.4 ± 0.70), gymnastic-specific experts (GS-E: n = 10; age = 16.6 ± 1.71), and gymnastic-specific novices (GS-N: n = 10; age = 16.0 ± 1.63) were recruited to perform a perceptual task (recognition of soccer-specific poses) and mental rotation tasks with different stimuli (soccer-specific poses, cubes, line-drawings of hands, letters).

Results

During the perceptual task with instructions on egocentric transformation and soccer-specific poses, we observed that gymnasts had longer response times than soccer players. Our findings also suggest that experts correctly identified most of the poses in terms of accuracy. In the mental rotation task with object-based transformation, gymnasts processed all stimuli, even the soccer-specific poses, more accurately than both soccer groups.

Conclusion

Our results suggest that gymnasts’ motor expertise plays a role in their performance on mental rotation tasks involving both egocentric and object-based transformations, regardless of the stimuli presented.
Exploring the process of restoring psychological needs after incidences of frustration and need unfulfillment
Authors: Dalgas Birgitte Westerskov , Ntoumanis Nikos , Elmose-Østerlund Karsten , Bredahl Thomas Viskum Gjelstrup
Published: June 2024

Background

Research on psychological need restoration after incidences of need frustration holds promise for deepening our understanding of the dynamic nature of psychological needs proposed by self-determination theory. We aimed to extend this work by exploring differences in the process of restoring psychological needs after indences of frustration versus need unfulfillment.

Methods

In-depth semi-structured interviews were conducted with 42 Danish adults varying in age, gender, and physical activity levels. Data were analyzed using the Framework Method.

Results

We identified four distinct yet interconnected phases in the need restoration process: Discrepancies between Actual and Desired Need States, Experiencing Negative Emotions, Initiating Plans for Action, and Action Stage. These stages offer a comprehensive framework for understanding how individuals restore their needs.

Discussion

We discerned contrasting approaches to need restoration depending on prior experiences of need frustration due to external contingencies versus need frustration due to internal factors and need unfulfillment. Need frustration due to external contingencies prompts withdrawal, aligning with the avoidance strategies identified in the literature. Conversely, unfulfilled needs and need frustration due to internal factors lead to proactive engagement, highlighting a distinct ‘fight’ response. These insights extend existing research, providing a nuanced understanding of the dynamic processes of need restoration.
Factors influencing the level of insight and treatment attitude: a cross-sectional study of 141 elderly patients of major depression in Guangzhou, China
Authors: Yang Hang , Chen Jiao , Ye Junrong , Zhou Tingwei , Wang Wen , Pan Yuanxin , Wei Yanheng , Lu Xueling , Yuan Lexin , Wu Shengwei , Guo Jianxiong , Xiao Aixiang
Published: June 2024

Objective

To explore the insight, treatment attitude, and related influencing factors of hospitalized elderly patients suffering from major depression.

Methods

A total of 141 hospitalized elderly patients with depression were selected as the research objects. Insight was evaluated by the total score of the Insight and Treatment Attitude questionnaire (ITAQ). The data collected included sociodemographic characteristics, psychiatric symptoms, delirium status, social functioning, social support, suicide risk, and cognitive function.

Results

The sample included 74.5% of female patients, and the mean age was 67.53 (sd=7.19) years. The influencing factors of inpatients with depression included alcohol consumption, length of hospitalization, admission types, and the main caregivers (P<0.05). The various factors were further analyzed by linear regression, revealing that the insight and treatment attitude of elderly depressed hospitalized patients were mainly related to the Mini-Mental State Examination (MMSE) (β= 0.225, 95% CI 0.055–0.395, P=0.01), dependent on a caregiver (β=-5.810, 95% CI -8.086~-3.535, P<0.001), the type of admission (involuntary admission) (β=-3.365, 95% CI -5.448~-1.283, P=0.002), Functional Activities Questionnaire (FAQ) (β=-0.156, 95% CI -0.303~-0.010, P=0.037), and length of stay (≤28 days) (β=2.272, 95% CI 0.055~-4.489, P=0.045).

Conclusion

The level of insight was affected by cognitive function, involuntary admission, dependent on a caregiver, social function and length of stay. Future studies should focus on cognitive function recovery, observation of admission mode, and self-care ability in elderly patients with depression.
A rural teledentistry care experience: a geriatric approach to assessing oral health status and treatment needs in older adults from a Mapuche community in Chile
Authors: Beltrán Víctor , Muñoz-Sepúlveda Fernanda , Acevedo Claudia , Navarro Pablo , Venegas Bernardo , Salgado Catalina , Uribe Pablo , Engelke Wilfried
Published: June 2024

Background

Limited attention has been given to oral health challenges faced by older Indigenous populations, especially in rural settings, where disparities exist. This study aims to assess oral health in a rural Mapuche community in southern Chile, utilizing geriatric technology support, and exploring the connection between geriatric health and oral well-being to fill a gap in this context.

Methods

A cross-sectional study was conducted involving 76 independent older adults from a rural Mapuche community who required dental care. Assessments were in a remote care setting gathering extensive data including comprehensive geriatric assessments, medical and dental conditions using a geriatric teledentistry platform (TEGO®). Statistical analysis involved descriptive analysis, logistic regression, and both multiple correspondence analysis and k-means cluster analysis.

Results

The sample comprised individuals with limited formal education and a high degree of vulnerability. Geriatric assessments unveiled cognitive deterioration, frailty, depression risk, and multimorbidity. A distribution of the DMFT index, number of remaining teeth, number of occluding pairs, number of teeth with restorative needs and other relevant clinical findings was conducted based on sociodemographic, and medical-geriatric-dental characteristics, and additionally, a Multinomial Logistic Regression Analysis of Dentition Variables in Relation to Geriatric Assessments was performed. The dental burden was substantial, with an average DMFT index of 25.96 (SD 4.38), high prevalence of non-functional dentition (89.3%), periodontal disease (83%), xerostomia (63.2%) and oral mucosal lesions (31.5%). Age, lower education, depression, daily medication number and sugary consumption frequency were associated with a decreased average number of teeth (p < 0.05). Multiple correspondence analysis and k-means cluster analysis identified 4 clusters, with the edentulous and functional dentition groups being the most distinct.

Conclusion

This study uncovers a substantial dental burden and intricate medical-geriatric conditions interlinked among Indigenous older adults in a rural Chilean Mapuche community. The implementation of a geriatric technological ecosystem in the community enabled the resolution of less complex oral health issues and facilitated remote consultations with specialists, reducing the necessity for travel to health centers. This underscores the need for innovative dental public health initiatives to address health disparities and improve the overall well-being of older Indigenous adults.
Exploring the relationship between sleep patterns and depression among Chinese middle school students: a focus on sleep quality vs. sleep duration
Authors: Zhang Xinkai , Dou Zhaobo , Yang Fengying , Luo Lin , Yang Jie
Published: June 2024

Objective

This study aims to explore the relationship between sleep patterns and depressive symptoms among adolescents, examining variations in depressive symptoms across different sleep qualities, durations, and habits.

Method

A cross-sectional survey was conducted, gathering data from 8,775 Chinese adolescents on their demographics, lifestyle habits, sleep quality and duration, and depressive symptoms. The association between sleep parameters and depressive symptoms was analyzed using multivariate logistic regression.

Findings

The findings reveal a significant correlation between sleep quality/duration and depressive symptoms. Specifically, adolescents with poor sleep quality had higher depressive scores (mean score = 14.62, standard deviation = 5.71), significantly exceeding those with better sleep quality (mean score = 11.54, standard deviation = 4.69). Adolescents with shorter sleep duration also showed significantly higher depressive scores than those with moderate sleep duration. Importantly, adolescents experiencing both poor sleep quality and shorter sleep duration were at a significantly increased risk of depressive symptoms (OR = 4.04, 95% CI: 3.53–4.62, P < 0.001). Further analysis indicated that older age and lower family economic status were independent predictors of a higher risk of adolescent depression (OR = 1.22, 95% CI: 1.08–1.38, P = 0.001), whereas factors such as gender, ethnicity, residence, being an only child, and parental education levels were not statistically significant.

Conclusion

Among Chinese adolescents, poor sleep quality and shorter sleep duration are independent predictors of higher depressive symptom scores. Adolescents experiencing both of these conditions simultaneously have a significantly increased risk of depressive symptoms. Furthermore, older age and lower family economic status are also significantly related to an increased risk of depression in adolescents. These findings emphasize the importance of improving sleep quality and optimizing sleep duration for the prevention of adolescent depression. They also suggest the need for a comprehensive approach that addresses the multifaceted factors influencing adolescent mental health, including sleep patterns and socioeconomic disparities.
Dynamics and features of transmission clusters of HIV-1 subtypes in the state of São Paulo, Brazil
Authors: Pimentel Victor , Pineda-Peña Andrea , Sebastião Cruz S. , de Paula João L. , Ahagon Cintia M. , Pingarilho Marta , Martins M. Rosário O. , Coelho Luana P. O. , Matsuda Elaine M. , Alves Daniela , Abecasis Ana B. , Brígido Luís F. M.
Published: June 2024

Background

Molecular epidemiology techniques allow us to track the HIV-1 transmission dynamics. Herein, we combined genetic, clinical and epidemiological data collected during routine clinical treatment to evaluate the dynamics and characteristics of transmission clusters of the most prevalent HIV-1 subtypes in the state of São Paulo, Brazil.

Methods

This was a cross-sectional study conducted with 2,518 persons living with HIV (PLWH) from 53 cities in São Paulo state between Jan 2004 to Feb 2015. The phylogenetic tree of protease/reverse transcriptase (PR/RT) regions was reconstructed by PhyML and ClusterPicker used to infer the transmission clusters based on Shimodaira–Hasegawa (SH) greater than 90% (phylogenetic support) and genetic distance less than 6%.

Results

Of a total of 2,518 sequences, 2,260 were pure subtypes at the PR/RT region, being B (88%), F1 (8.1%), and C (4%). About 21.2% were naïve with a transmitted drug resistance (TDR) rate of 11.8%. A total of 414 (18.3%) of the sequences clustered. These clusters were less evident in subtype B (17.7%) and F1 (15.1%) than in subtype C (40.2%). Clustered sequences were from PLWH at least 5 years younger than non-clustered among subtypes B (p < 0.001) and C (p = 0.037). Men who have sex with men (MSM) predominated the cluster in subtype B (51%), C (85.7%), and F1 (63.6%; p < 0.05). The TDR rate in clustered patients was 15.4, 13.6, and 3.1% for subtypes B, F1, and C, respectively. Most of the infections in subtypes B (80%), C (64%), and F1 (59%) occurred within the state of São Paulo. The metropolitan area of São Paulo presented a high level of endogenous clustering for subtypes B and C. The São Paulo city had 46% endogenous clusters of subtype C.

Conclusion

Our findings showed that MSM, antiretroviral therapy in Treatment-Naive (ART-naïve) patients, and HIV1-C, played an important role in the HIV epidemic in the São Paulo state. Further studies in transmission clusters are needed to guide the prevention intervention.
Investigating the efficacy of virtual reality exposure for crowd management: a real-world application
Authors: Alshaer Abdulaziz
Published: June 2024

Introduction: Crowded spaces, especially during significant events or rituals, pose challenges in terms of safety and management. This study introduces a novel approach to address these challenges by leveraging Virtual Reality Exposure (VRE) as a potential solution. Using the Tawaf ritual around the Kaaba and the specific act of touching the Black Stone as a case study, this research explores how VRE can be employed to alter individual behaviors and perceptions in crowded spaces. Methods: Participants completed questionnaires assessing their behaviors and perceptions before and after exposure to two types of Virtual Reality environments: visual-only Virtual Reality (VR) and multi-sensory Virtual Reality (MVR).

Results: Results indicated a marked decrease in participants' eagerness to physically interact with the Black Stone after the VR exposure. However, this eagerness saw a minor resurgence in the MVR setting, suggesting a more profound sense of immersion. Additionally, the MVR environment significantly enhanced the participants' overall sense of presence and emotional intensity compared to the visual-only VR.

Discussion: This research underscores the potential of VRE as a broader tool for crowd management in various settings, emphasizing its generalizability and contribution to the field. By harnessing the immersive capabilities of VRE, stakeholders can mitigate risks and enhance the experience in crowded scenarios.
Network embeddedness, entrepreneurial bricolage, and family farm sustainability
Authors: Duan Haixia , Wang Zhaochen , Yi Zhaohui , Su Xiaohua
Published: June 2024

Family farm sustainability is an essential guarantee for increasing the resilience of food systems. Based on the network embeddedness theory and entrepreneurial bricolage theory, an exploratory longitudinal case study was adopted. The value-creating behaviors of family farms in different entrepreneurial periods were described and a process model of family farms sustainability with network embeddedness and entrepreneurial bricolage was constructed. The study revealed that family farms faced resource constraints such as shortage of element resources, insufficient market resources and lack of knowledge resources during the induction, start-up, and growth periods, respectively. In order to overcome resource constraints in different entrepreneurial periods, family farms employed multiple network embeddedness ways including relational embeddedness, structural embeddedness and cognitive embeddedness to seek help from actors in the rural social network. Family farms embedded in multiple networks used the entrepreneurial bricolage strategy of “element bricolage – market bricolage – institutional bricolage” to continuously acquire production elements, improve brand awareness, optimize processing techniques and promote the convergence of three industries. Family farms benefited from a win-win result with actors through network embeddedness and entrepreneurial bricolage, and created economic, social and ecological values eventually. The study offers fresh insights into the dynamics of rural entrepreneurship.
Evaluating ChatGPT-4’s performance as a digital health advisor for otosclerosis surgery
Authors: Sahin Samil , Erkmen Burak , Duymaz Yaşar Kemal , Bayram Furkan , Tekin Ahmet Mahmut , Topsakal Vedat
Published: June 2024

Purpose

This study aims to evaluate the effectiveness of ChatGPT-4, an artificial intelligence (AI) chatbot, in providing accurate and comprehensible information to patients regarding otosclerosis surgery.

Methods

On October 20, 2023, 15 hypothetical questions were posed to ChatGPT-4 to simulate physician-patient interactions about otosclerosis surgery. Responses were evaluated by three independent ENT specialists using the DISCERN scoring system. The readability was evaluated using multiple indices: Flesch Reading Ease (FRE), Flesch-Kincaid Grade Level (FKGL), Gunning Fog Index (Gunning FOG), Simple Measure of Gobbledygook (SMOG), Coleman-Liau Index (CLI), and Automated Readability Index (ARI).

Results

The responses from ChatGPT-4 received DISCERN scores ranging from poor to excellent, with an overall score of 50.7 ± 8.2. The readability analysis indicated that the texts were above the 6th-grade level, suggesting they may not be easily comprehensible to the average reader. There was a significant positive correlation between the referees’ scores. Despite providing correct information in over 90% of the cases, the study highlights concerns regarding the potential for incomplete or misleading answers and the high readability level of the responses.

Conclusion

While ChatGPT-4 shows potential in delivering health information accurately, its utility is limited by the level of readability of its responses. The study underscores the need for continuous improvement in AI systems to ensure the delivery of information that is both accurate and accessible to patients with varying levels of health literacy. Healthcare professionals should supervise the use of such technologies to enhance patient education and care.
Case series of dogs with blastomycosis managed with high-flow nasal oxygen therapy (2019–2023): 19 cases
Authors: Tarosky Melanie , Haraschak Jenica L. , Reinhart Jennifer M. , Billhymer Audrey
Published: June 2024

Objective

To describe the clinical presentation, progression, treatment, and outcome of dogs with blastomycosis treated with high-flow nasal oxygen therapy (HFNOT).

Design

Retrospective case review.

Setting

University veterinary teaching hospital.

Animals

Nineteen client-owned dogs with strongly suspected or confirmed blastomycosis treated with HFNOT.

Measurements and main results

The medical records of dogs with strongly suspected or confirmed blastomycosis between October 2019 and May 2023 that received HFNOT were evaluated. Nineteen dogs were included. Nine dogs were started directly on high-flow nasal oxygen therapy. The remaining 10 dogs first received traditional oxygen therapy and were then transitioned to HFNOT 3–142 h later. Of the 19 dogs, 1 survived to discharge from hospital, 12 were euthanized due to progression of disease, and 6 died during the hospitalization period.

Conclusions and clinical importance

The prognosis for survival of dogs with severe blastomycosis requiring therapy beyond traditional oxygen methods was poor to grave in this population. This is the first known documented report of HFNOT use in dogs with confirmed or suspected blastomycosis.
Effects of early pregnancy on NOD-like receptor expression in the ovine endometrium
Authors: Zhang Leying , Cai Jiabao , Wang Xinxin , Yang Zhen , Ding Haiquan , Yang Ling
Published: June 2024

Introduction

Nucleotide-binding domain (NOD)-like receptors (NLRs) are expressed in the endometrium, and involved in modulating the female innate immune responses. There are conceptus-endometrial interactions during pregnancy, which ensure immune homeostasis of the maternal-fetal interface. The purpose of this study was to explore the effects of early pregnancy on NLR expression in the ovine endometrium.

Methods

Endometrial tissues were collected at day 16 of the estrous cycle, and at days 13, 16 and 25 of pregnancy (n = 6 for each group), and RT-qPCR, western blot and immunohistochemistry analysis were used to analyze the expression of NLRs, including NOD1, NOD2, major histocompatibility complex class II transactivator (CIITA), neuronal apoptosis inhibitor protein (NAIP), NLR family, pyrin domain-containing 1 (NLRP1), NLRP3 and NLRP7.

Results

Expression levels of NOD1, NOD2, NAIP, CIITA, NLRP1 and NLRP3 declined, but expression level of NLRP7 increased in the endometria during early pregnancy compared with nonpregnant ewes. In addition, NOD2 and CIITA proteins were located in the endometrium in a protein type-, cell type- and pregnancy status-specific manner.

Discussion

Early pregnancy modulated expression of NLR family in the ovine endometrium, which may be essential for conceptus-endometrial interactions and maternal-fetal interface immune homeostasis.
Light-Weighting and Comparative Simulation Analysis of the Forearm of Welding Robots
Authors: Pang Hongchen , Sun Zibin , Hu Jiezhen , Yang Fang
Published: June 2024

The light-weighting of a robotic arm is an important aspect of robot research. In the operation of existing welding robots, excessive vibrations in the welding actuators have been observed, which lead to reduced welding precision and work efficiency. The direct connection between the forearm and the welding actuator is a key component that affects vibrations. Based on this, a study on light-weighting the forearm is proposed. Using the theory of topology optimization with variable density structure, the structural dimensions, shapes, and geometric parameters of the forearm are optimized. The material removal methods of “hole cutting” and “local hollowing” are employed to reconstruct the forearm structure model. Static, modal, and transient simulations were performed on the forearm model pre-optimization and post-optimization. The optimization results show that the mass of the forearm is reduced by 19.8%. The static simulation comparative analysis shows that, under the same constraints and load conditions, the maximum total deformation of the optimized forearm is reduced by 3.6%, the maximum stress is reduced by 3.2%, and the maximum equivalent elastic strain is reduced by 5.7%. The optimized forearm structure is more reasonable and exhibits better mechanical performance. Modal simulation comparative analysis shows that the first and second natural frequencies of the optimized forearm are increased by 9.8% and 7.0%, respectively. Transient simulation comparative analysis demonstrates that, under the maximum operating condition, the vibration frequency and amplitude of the optimized welding robot forearm are reduced by 19.4% and 26.9%, respectively. The maximum amplitudes of the maximum equivalent stress curve and maximum equivalent elastic strain curve are reduced by 51.0% and 46.0%, respectively. This study provides a guarantee for reducing vibrations in welding actuators, improving welding precision, and enhancing the work efficiency of the welding robot.
Design of a Tripod LARMbot Arm
Authors: Ceccarelli Marco , Beaumont Steven , Russo Matteo
Published: June 2024

A new design for humanoid arms is presented based on a tripod mechanism that is actuated by linear servomotors. A specific prototype is built and tested, with the results of performance characterization verifying a possible implementation on the LARMbot humanoid. The design solves the main requirements in terms of a high payload ratio with respect to arm weight by using a tripod architecture with parallel manipulator behavior. The built prototype is assembled with commercial components to match the expectations for low-cost user-oriented features. The test results show satisfactory operation characteristics both in motion and force performance, which will ensure a future successful implementation in the LARMbot humanoid structure.
Active Power Assist with Equivalent Force on Connection for Lower Limb Exoskeleton Robots
Authors: Deng Jing , Jiang Wenzheng , Gao Haibo , Li Mantian , Shi Yapeng
Published: June 2024

Active power-assist lower limb exoskeleton robots aim to enhance wearer assistance while ensuring wearer comfort and simplifying the exoskeleton’s design and control. This study proposes an active assistance method known as Equivalent Force on Connection (EFOC). The EFOC method effectively addresses the limitations encountered in conventional Joint Torque Proportional Compensation (JTPC) approaches. These limitations include the necessity for exoskeleton robot configurations to align with human limb structures for parallel assistance at each lower limb joint, as well as the exoskeleton’s inability to contribute a greater proportion of assistance due to the excessive load on specific skeletal and muscular structures, resulting in wearer discomfort. Furthermore, the effectiveness of the EFOC method is evaluated and validated for assistance during both the stance and swing phases of single-leg movements. Finally, the proposed EFOC method is implemented on a hydraulic-driven lower limb exoskeleton robot to assist wearers in squatting, stepping, and jumping locomotion. The experimental results demonstrate that the proposed EFOC method can effectively achieve the desired assistance effect.
Ice Object Exclusion Characteristics of Turboshaft Engine Inlet under Helicopter/Inlet Integration Conditions
Authors: Zhou Ge , Zhou Haoyu , Wu Zhenlong , Tan Huijun , Qin Wanglong
Published: June 2024

In this study, the influence laws of different parameters on the exclusion characteristics of hailstone and ice flake, and on the aerodynamic performance of the inlet are studied by numerical method. The motion of the hailstone and ice flake is simulated using the 6-DOF method. Results show that the inhalation of hailstone in the inlet decreases total pressure distortion by about 20%, and the total pressure recovery coefficient is essentially unchanged. Icing of the upper lip decreases the total pressure distortion of the inlet by about 22%, and the total pressure recovery coefficient decreases by 0.6%. The ice flakes on the inner and outer lip, when shed and brake by collision with the center body, will cause damage to the engine duct. The shedding and breaking of ice flake at an angle of 150° to the lip can result in a large amount of ice flake debris entering the engine duct, threatening the performance and structure of the engine in the rear. The motion characteristics of hailstone and ice flake under helicopter fuselage/rotor/inlet integration conditions are revealed. It also provides a reference on the numerical methods for the numerical study of hailstone/ice flake exclusion characteristics of helicopter fuselage/rotor/inlet integration conditions.
Study on Flat Die Wear Characteristics in Flat Die Pelletizing with Different Material Ratios Based on DEM-FEM
Authors: Gao Aimin , Dong Qianyu , Sun Wei
Published: June 2024

Wear can occur in flat die pelletizers, often reducing service life. This study explores the issue of die hole wear in the pelletizing process of a standard Total Mixed Ration (TMR) feed. The selected TMR formulation comprises varying proportions of corn, alfalfa hay, and quinoa. A coupled DEM-FEM analysis was used to examine stress–strain conditions in various die hole regions at different material ratios, predict the fatigue life of flat die materials in the pelletizing process, and validate the accuracy of investigating flat die wear through friction wear tests. It was found that the entrance of the die hole experiences the most severe conditions in terms of equivalent stress and elastic strain. The fatigue life is shortest at the entrance, with a maximum equivalent stress of 42.8 MPa, a maximum equivalent elastic strain of 2.5 × 10−3, and a minimum fatigue life stress cycle of 5.0 × 105. In contrast, the equivalent stress and equivalent elastic strain at the middle and upper parts of the die hole are minimal, with an equivalent stress of 4.8 MPa and a minimum equivalent elastic strain of 2.8 × 10−4. Material wear tests revealed that the most severe wear on the flat die specimen occurred when the ratio of corn, alfalfa hay, and quinoa straw was 7:2:1, consistent with the findings from the DEM-FEM coupling method. The pelleting process, arising from the contact between the material and metal, encompasses adhesive wear, abrasive wear, and fatigue wear.
Efficient and Low-Loss Cleaning Method for Non-Uniform Distribution of Threshed Materials Based on Multi-Wing Curved Combination Air Screen in Computational Fluid Dynamics/Discrete Element Method Simulations
Authors: Wang Longhai , Chai Xiaoyu , Huang Juan , Hu Jinpeng , Cui Zhihong
Published: June 2024

During the operation of the longitudinal axis flow threshing device of a combine harvester, the threshed materials form accumulations and blockages on both sides of the screen surface, severely affecting the harvesting process. To evenly distribute the materials on the screen and solve the blockage issue, a multi-wing curved combination centrifugal fan is designed to match the mass distribution of the threshed materials. The movement mechanism of rice threshed materials in the cleaning shoe of a longitudinal axis flow combine harvester is investigated using the coupled CFD-DEM simulation method. The cleaning efficiency and performance of the traditional straight-blade fan screen device and the newly designed cleaning device are compared and analyzed, and field tests are conducted. The results show that the trajectory of the threshed materials cleaned by the device equipped with the multi-wing curved combination centrifugal fan is consistent with the mass distribution of the materials separated by the longitudinal axis flow threshing device. The absolute value of the centroid velocity of the material group in the X/Y direction is greater than that of the traditional fan, indicating that the movement speed of the particle group in the optimized fan is greater than that of the traditional fan. Therefore, in the actual cleaning process, the optimized fan’s air flow distribution more effectively accelerates the movement speed of the threshed materials, increasing the amount of materials cleaned per unit time, thereby improving the cleaning efficiency. Field comparative tests show that the designed cleaning device reduced the cleaning loss rate by up to 25.00% and the impurity content rate by 32.20%, achieving efficient and low-damage cleaning of the combine harvester. The study demonstrates the effectiveness of the proposed method for evenly distributing the materials and provides important reference for the study of other piled particle distribution systems.
Proposal of an Original Methodology to Evaluate the Performance of Chipper Machines
Authors: Fanigliulo Roberto , Stefanoni Walter , Fornaciari Laura , Grilli Renato , Benigni Stefano , Scutaru Daniela , Sperandio Giulio , Pochi Daniele
Published: June 2024

Wood fuel from the agroforestry sector is one of the main strategies cited by the EU for reducing energetic dependance on foreign markets. Its sustainability, both economic and environmental, can be improved through the optimization of harvesting and chipping operations. This study was focused on the dynamic and energetic balance of the chipping phase carried out by a chipper operated by the power-take-off (PTO) of a medium-power tractor. Both machines were equipped with sensors for real-time monitoring of fuel consumption, PTO torque and speed, trunk diameter and working time during the comminution of 61 poplar trees grown in a medium rotation coppice system. The data analysis was carried out on the entire dataset (about 29,000 records) without considering their belonging to different trees. By means of proper data ordinations, it has been possible to define all the intervals in which the chipping stopped (e.g., between two trees) and to exclude them from the intervals of actual chipping. This has allowed forcomputation of operative and actual working time, as well as of the basic power required to operate the chipper and the power for actual chipping. Subsequently, the parameter values observed during actual chipping were related to the cutting diameters measured at the same instant. Subsequently, the dataset was divided according to seven diameter classes, and, for each class, the descriptive statistical indices of working time, work productivity, CO2 emissions, energy requirement and fuel consumption were calculated. Eventually, the correlation between the variations in trunk diameter and other parameters was verified both on the whole dataset and based on the class average values. The analysis made it possible to identify the conditions of greatest efficiency for the chipper. More generally, the method could help to increase the accuracy of measurements aimed at characterizing the performance of chippers from the point of view of dynamic energy requirements as well as in relation to different wood species.
Improvement in Productivity and Quality of Soilless Saffron Crops by Implementing Fertigation
Authors: Valenzuela Juan Luis , Díaz José Gregorio , Salas-Sanjuán María del Carmen
Published: June 2024

Saffron cultivation is important in global agriculture and is mainly flourishing in Mediterranean climates. Although it originated in Asia Minor, it is widely grown in regions such as Iran, India, Spain, Morocco, Greece, and Italy. Labour-intensive harvesting, mainly by hand, characterises its production and offers substantial employment opportunities in cultivating areas. However, traditional saffron-producing countries such as Spain, Italy, and Greece have witnessed declining production due to labour demands and competition from low-wage countries. Mechanization remains unfeasible due to the delicate nature of the plant. To revitalise saffron cultivation, efforts have been focused on reducing labour costs, improving productivity, and improving quality through innovative techniques, such as soilless crops. In this study, the productivity and quality of saffron was evaluated in a soilless culture and three fertigation doses were evaluated: a control, consisting of Sonneveld and Voogt’s standard nutrient solution, and two treatments with two supplemented solutions, 30% K and 30% Ca. The results indicated that the solution with 30% K obtained higher corm productivity, as well as better quality saffron, as all the products of this treatment were included in Category I according to the ISO 3632 standard, while the quality of saffron grown with the control solution was lower.
Ozone Pollution in the North China Plain during the 2016 Air Chemistry Research in Asia (ARIAs) Campaign: Observations and a Modeling Study
Authors: He Hao , Li Zhanqing , Dickerson Russell R.
Published: June 2024

To study air pollution in the North China Plain (NCP), the Air Chemistry Research in Asia (ARIAs) campaign conducted airborne measurements of air pollutants in spring 2016. High pollutant concentrations, with O3 > 100 ppbv, CO > 500 ppbv, and NO2 > 10 ppbv, were observed. CMAQ simulations with the 2010 EDGAR emissions capture the spatial and temporal variations in ozone and its major precursors such as NO2 and VOCs, with significant underestimation. Differences between CMAQ simulations and satellite observations reflect changes in anthropogenic emissions, decreased NOx emissions in megacities such as Beijing, but slight increases in other cities and rural areas. CMAQ also underestimates HCHO and CO, suggesting adjustments of the 2010 EDGAR emissions are necessary. HCHO/NO2 column ratios derived from OMI measurements and CMAQ simulations show that VOC-sensitive chemistry dominates the ozone photochemical production in eastern China, suggesting the importance of tightening regulations on anthropogenic VOC emissions. After adjusting emissions based on satellite observations, better model performance was achieved. Because of the VOC-sensitive environment in ozone chemistry over the NCP, the underestimation of anthropogenic emissions could be important for CMAQ simulations, while future study and regulations should focus on VOC emissions with continuous controls on NOx emissions in China.
Immunological Insights: A Multicenter Longitudinal Study on Humoral Response to COVID-19 Vaccines in Greece
Authors: Makri Eleni , Charvalos Ekatherina , Stavropoulou Elisavet , Skanavis Constantina , Lagiou Areti , Barbounis Anastasia
Published: June 2024

Vaccination has emerged as the most effective tool in the battle against COVID-19. To optimize vaccination protocols, a deeper understanding of the immune response to vaccination, including influential factors and its duration, is essential. This study aimed to assess the humoral response in vaccinated individuals with or without prior SARS-CoV-2 infection. A prospective observational study was conducted across 14 private healthcare structures in Greece. Anti-spike IgG titers were measured at different timepoints following the initial vaccination and booster doses of the BNT162b2, mRNA-1273, ChAdOx1 nCoV-19, and Ad26.COV2.S vaccines. A total of 505 participants were included in the first phase, evaluating the humoral response after the initial vaccination, and 311 participants were involved in the second phase, assessing the effects of booster vaccination. All vaccines elicited high anti-S IgG titers initially, followed by a subsequent decline that was addressed by the booster vaccination. The humoral response was sustained up to one year after the booster vaccination. mRNA vaccines induced higher anti-S IgG titers compared to vector vaccines, with mRNA-1273 eliciting higher titers than BNT162b2. Vaccination resulted in higher antibody titers than natural infection alone; however, convalescent patients who received vaccination had significantly higher anti-S IgG titers compared to those who received the booster vaccine without previous SARS-CoV-2 infection. Lower antibody titers were observed in men and older patients (>51.5 years old), as well as smokers, although the decline rate was lower in these subgroups. These results underscore the importance of booster doses and reveal the potential influence of age, gender, smoking habits, and vaccine type on varying humoral responses. Long-term monitoring of antibody persistence, evaluation of cellular immune responses, and assessment of vaccine efficacy against emerging variants should be considered to enhance our understanding of immunity dynamics and inform vaccine development and deployment strategies.