bluuebunny/crossref_metadata_2025 huggingface dataset:
Protocol of a prospective multicenter study on comorbidity impact on multiple sclerosis and antibody-mediated diseases of the central nervous system (COMMIT)
Authors: Samadzadeh Sara , Adnan Rafl , Berglova Paulina , Barzegar Mahdi , Debrabant Birgit , Roikjaer Stine Gundtoft , Levy Michael , Petzold Axel , Palace Jacqueline , Flanagan Eoin P. , Mariotto Sara , Skou Soeren T. , Froelich Anne , Lotan Itay , Messina Silvia , Geraldes Ruth , Asseyer Susanna , Stiebel-Kalish Hadas , Oertel Frederike Cosima , Shaygannejad Vahid , Sahraian Mohammad Ali , Kim Ho Jin , Bennett Jeffrey L. , Böttcher Chotima , Zimmermann Hanna G. , Weinshenker Brian G. , Paul Friedemann , Asgari Nasrin
Published: July 2024

Comorbidities in patients with multiple sclerosis (MS) and antibody-mediated diseases of the central nervous system (CNS) including neuromyelitis optica spectrum disorder (NMOSD), and myelin oligodendrocyte glycoprotein (MOG)-antibody-associated disease (MOGAD) are common and may influence the course of their neurological disease. Comorbidity may contribute to neuronal injury and therefore limit recovery from attacks, accelerate disease progression, and increase disability. This study aims to explore the impact of comorbidity, particularly vascular comorbidity, and related risk factors on clinical and paraclinical parameters of MS, NMOSD and MOGAD. We propose COMMIT, a prospective multicenter study with longitudinal follow-up of patients with MS, NMOSD, and MOGAD, with or without comorbidities, as well as healthy subjects as controls. Subjects will be stratified by age, sex and ethnicity. In consecutive samples we will analyze levels of inflammation and neurodegeneration markers in both fluid and cellular compartments of the peripheral blood and cerebrospinal fluid (CSF) using multiple state-of-the-art technologies, including untargeted proteomics and targeted ultrasensitive ELISA assays and quantitative reverse transcription polymerase chain reaction (RT-qPCR) as well as high-dimensional single-cell technologies i.e., mass cytometry and single-cell RNA sequencing. Algorithm-based data analyses will be used to unravel the relationship between these markers, optical coherence tomography (OCT) and magnetic resonance imaging (MRI), and clinical outcomes including frequency and severity of relapses, long-term disability, and quality of life. The goal is to evaluate the impact of comorbidities on MS, NMOSD, and MOGAD which may lead to development of treatment approaches to improve outcomes of inflammatory demyelinating diseases of the CNS.
Selected challenges in solidification processing of graphene nanoplatelets (GNPs) reinforced aluminum alloys composites
Authors: Ghaderi Omid , Zare Mehran , Niroumand Behzad , Church Benjamin C. , Rohatgi Pradeep K.
Published: July 2024

Solidification processing of aluminum graphene composite is an attractive option for synthesis of metal matrix composites. Graphene reinforced aluminum metal matrix composites (GAMMCs) are of interest due to the low density and ultrahigh physical and mechanical properties of Graphene which can improve the properties of Al-Graphene composites. However, solidification processing of aluminum graphene composites has served challenges, including agglomeration of reinforcement and porosity resulting in decrease in properties above 0.five to three wt% graphene. Also, the graphene surface can react with molten aluminum alloys to form aluminum carbide. Challenges with particle distribution and porosity are frequently caused by the poor wetting of reinforcement by melt, requiring additions of selected wetting agents. The other problems include movement of reinforcement within the melt due to density differences and convection leading to nonuniform distribution of reinforcements. The graphene reinforcements can be pushed by solidifying interfaces under certain conditions during solidification leading to segregation of reinforcements in the interdendritic regions. The paper critically analyzes the above problems related to solidification processing of Aluminum- Graphene composites which has not been done in previous publications aluminum-graphene composites. The objective of this paper is to examine the challenges, and suggest possible solutions including addition of elements like silicon and magnesium to aluminum melt, coating graphene with metals like nickel and copper, controlling rate of advancement and nature of advancing solid liquid interface in a manner that they engulf graphene with dendrites or grains.
The causal relationship between immune cells and Sjögren’s syndrome: a univariate, multivariate, bidirectional Mendelian randomized study
Authors: Zeng Wen , Huang Mu , Zeng Yuanyuan , Pan Jie , Qin Fang , Liao Xiaoling , Zheng Leting , Lei Ling
Published: July 2024

Introduction

Immune cells are involved in the onset and progression of Sjögren’s syndrome (SS). This study explored the causal relationship between immune signature cells and SS, which has not been fully elucidated.

Methods

We conducted univariate, multivariate, and bidirectional Mendelian randomization to investigate the causal relationship between 731 immunological feature characteristic cells and SS pairs and explore the interaction of immune cells in SS.

Results

After false discovery rate correction, six immune cells were significantly associated with SS risk. Among them, four contributed to SS (CD24 on memory B cell, CD27 on IgD + CD24 + B cell, CD28 on CD39+ secreting CD4 Treg cell, and CD80 on CD62L + mDC); two appeared to reduce SS risk (CD3 on CD39 + CD8 + T cell and CD38 on IgD + CD38 + B cell). Pleiotropy and heterogeneity were not observed. Three immune cells exerted independent effects for SS (CD27 on IgD + CD24 + B cell, CD80 on CD62L + mDC, and CD38 on IgD + CD38 + B cell); two were risk factors (CD27 on IgD + CD24 + B cell and CD80 on CD62L + mDC); and one was a protective factor (CD38 on IgD + CD38 + B cell). Twenty-three immune cells showed a reverse causal relationship with SS.

Conclusion

These findings demonstrate the influence of immune cells on SS risk and the effects of SS on immune cells, providing new clues for further research on the mechanisms underlying SS.
Pediatric WNT medulloblastoma predisposition in intraoperative blood loss: a retrospective observational cohort study
Authors: Zhang Zaiyu , Wu Yuxin , Zhao Xueling , Ji Wenyuan , Li Lusheng , Zhai Xuan , Liang Ping , Cheng Yuan , Zhou Jianjun
Published: July 2024

Introduction

Molecular subgroups influence the vascular architecture within medulloblastomas, particularly the wingless (WNT) subgroup, which contributes to its propensity for primary tumor hemorrhage. Whether this mechanism affects intraoperative blood loss remains unknown. This study aimed to assess the association between WNT medulloblastoma and the predisposition for blood loss.

Methods

This was a retrospective observational study using data from a neuro-oncology center comprising molecular data on patients treated between December 31, 2014, and April 30, 2023. Differences between WNT and other subgroups in the risk of primary outcome-intraoperative blood loss were assessed using multivariable-adjusted linear regression.

Results

Of the 148 patients included in the analysis, 18 patients (12.2%) had WNT, 42 (28.4%) had sonic hedgehog (SHH) TP53-wildtype, 7 (4.7%) had SHH TP53-mutant, and 81 (54.7%) were non-WNT/ non-SHH. The WNT subgroup more frequently underwent primary intratumoral hemorrhage (22% vs. 3.8%; p = 0.011). The median intraoperative blood loss was 400.00 (interquartile range [IQR] 250, 500) mL for WNT and 300.00 [200, 400] mL for the other subgroups (p = 0.136), with an adjusted β of 135.264 (95% confidence intervals [CI], 11.701–258.827; p = 0.032). Similar results were observed in both midline and noninfiltrative margin medulloblastoma.

Discussion

WNT medulloblastoma is typically associated with primary intratumoral hemorrhage and intraoperative blood loss. The validity of determining the surgical approach based on predicted molecular subtypes from imaging data is questionable. However, attempting to engage in risk communication with patients in a molecular-specific way is worthwhile to validate.
Brain structure correlates of social information use: an exploratory machine learning approach
Authors: de Groot Esra Cemre Su , Hofmans Lieke , van den Bos Wouter
Published: July 2024

Introduction

Individual differences in social learning impact many important decisions, from voting behavior to polarization. Prior research has found that there are consistent and stable individual differences in social information use. However, the underlying mechanisms of these individual differences are still poorly understood.

Methods

We used two complementary exploratory machine learning approaches to identify brain volumes related to individual differences in social information use.

Results and discussion

Using lasso regression and random forest regression we were able to capture linear and non-linear brain-behavior relationships. Consistent with previous studies, our results suggest there is a robust positive relationship between the volume of the left pars triangularis and social information use. Moreover, our results largely overlap with common social brain network regions, such as the medial prefrontal cortex, superior temporal sulcus, temporal parietal junction, and anterior cingulate cortex. Besides, our analyses also revealed several novel regions related to individual differences in social information use, such as the postcentral gyrus, the left caudal middle frontal gyrus, the left pallidum, and the entorhinal cortex. Together, these results provide novel insights into the neural mechanisms that underly individual differences in social learning and provide important new leads for future research.
Contrast-enhanced ultrasound findings of primary hepatic non-Hodgkin’s lymphoma: a case report
Authors: Tang Can , Zhang Heqing , Tian Mei , Peng Yulan
Published: July 2024

Primary hepatic lymphoma (PHL) is rare, and its early diagnosis is difficult. This article presents a primary hepatic non-Hodgkin’s lymphoma (NHL) case report. A 52-year-old woman was admitted to the hospital due to a fever. After undergoing laboratory examination, contrast-enhanced computed tomography (CT), ultrasound, and contrast-enhanced ultrasound (CEUS), only CEUS suggested malignancy. Then, the patient underwent a laparoscopic liver biopsy, which diagnosed NHL. Previous studies have shown that hepatic lymphoma is a hypoglycemic tumor, and the enhanced CT and magnetic resonance imaging (MRI) scans are mostly mildly intensified. At the same time, the two-dimensional and color Doppler ultrasonography are mostly atypical. CEUS has unique advantages in displaying micro-vessels, which can be helpful in the diagnosis of primary hepatic lymphoma.
Downregulation of PRKCI inhibits osteosarcoma cell growth by inactivating the Akt/mTOR signaling pathway
Authors: Qu Liujing , Xin Yu , Feng Jieni , Ren Xiaolei , Li Zuming , Chen Xueru , Miao Guangyan , Chen Jiankun , Sun Chengming , Lu Yue
Published: July 2024

PRKCI is abnormally expressed in various cancers, but its role in osteosarcoma is unknown. This study aimed to explore the biological function of PRKCI in osteosarcoma and its potential molecular mechanism. PRKCI expression was evaluated in osteosarcoma cell lines using Western blot analysis and reverse transcription PCR. The CCK-8 assay, colony formation assay, flow cytometry, Transwell assay, and wound-healing assay were used to detect the proliferation, colony-forming capacity, cell cycle, migration, and invasion of osteosarcoma cells when PRKCI was overexpressed or knocked down. The interaction between PRKCI and SQSTM1 was explored using immunoprecipitation. Finally, the protein molecule expression of the Akt/mTOR signaling pathway in osteosarcoma was detected when PRKCI was knocked down. Our study found that PRKCI was overexpressed in osteosarcoma cell lines. The overexpression of PRKCI promoted the proliferation and colony-forming capacity of osteosarcoma cells, while silencing PRKCI inhibited the proliferation, colony-forming capacity, migration, and invasion of osteosarcoma cells and arrested the cell cycle at the G2/M phase. Both PRKCI and SQSTM1 were overexpressed in osteosarcoma. The expression of PRKCI was only related to histological type, while that of SQSTM1 was not related to clinical characteristics. The expression of PRKCI and SQSTM1 in osteosarcoma was higher than that in chondrosarcoma. Knockdown of PRKCI inhibited the proliferation of osteosarcoma cells by inactivating the Akt/mTOR signaling pathway, suggesting that PRKCI was a potential target for osteosarcoma therapy.
The safety and efficacy of the re-administration of gilteritinib in a patient with FLT3-mutated R/R AML with CNS relapse: a case report
Authors: Ji Yueru , Wan Zhuo , Yang Jian , Hao Miaowang , Liu Li , Qin Weiwei
Published: July 2024

FLT3-ITD is a type of poor prognostic factors in acute myeloid leukemia (AML) disease. Gilteritinib, the second-generation FLT3 tyrosine kinase inhibitor, improved the overall survival of patients with relapsed/refractory FLT3-mutated AML in the ADMIRAL phase III trial. However, few data are available on the efficacy and safety of gilteritinib-based therapy for FLT3-mutated AML with central nervous system (CNS) involvement. We performed gilteritinib to treat a patient with CNS relapsed AML after allogeneic hematopoietic stem cell transplantation. The positive antileukemic effect of gilteritinib may bring new hope for the treatment of FLT3-mutated AML with CNS relapse.
Predictive biomarker of mortality in children with infectious diseases: a nationwide data analysis
Authors: Miura Shinya , Katsuta Tomohiro , Nakamura Yukitsugu
Published: July 2024

Biomarkers play a crucial role in the early identification of high-risk children with infectious diseases. Despite their importance, few studies evaluated biomarkers' capabilities in predicting mortality. The aim of this study was to evaluate the biomarkers' predictive capabilities for mortality in children with infectious diseases. From an inpatient database covering ≥200 acute-care hospitals in Japan, we included children who underwent blood culture, and received antimicrobial treatment between 2012 and 2021. Biomarkers' results from the day of the initial blood culture were used. Biomarker discriminative capabilities were assessed using the area under receiver operating characteristic curves (AUCs). Of 11,365 eligible children with presumed infection, 1,378 (12.1%) required mechanical ventilation or vasoactive agents within 2 days of blood culture, and 100 (0.9%) died during admission. Of all children, 10,348 (91.1%) had community-onset infections and 1,017 (8.9%) had hospital-onset infections. C-reactive protein and white blood cell demonstrated limited discriminatory capabilities with AUCs of 0.44 [95% confidence interval (CI): 0.38–0.51] and 0.45 (95% CI: 0.39–0.52). In contrast, pH, prothrombin time-international normalized ratio, and procalcitonin exhibited strong discriminatory capabilities with AUCs of 0.77 (95% CI: 0.65–0.90), 0.77 (95% CI: 0.70–0.84) and 0.76 (95% CI: 0.29–1.00). In conclusions, our real-world data analysis suggested that C-reactive protein and white blood cell may not be reliable indicators for predicting mortality in children with presumed infection. These findings could warrant future studies exploring promising biomarkers, including those from blood gas analyses, coagulation studies and procalcitonin.
Salicylic acid improves cowpea productivity under water restriction in the field by modulating metabolism
Authors: Cavalcante Igor Eneas , de Melo Alberto Soares , Ferraz Rener Luciano de Souza , de Alencar Rayanne Silva , Dias Guilherme Felix , Viana Priscylla Marques de Oliveira , Rocha Maurisrael Moura , Ndhlala Ashwell Rungano , Sá Francisco Vanies da Silva , de Lacerda Claudivan Feitosa , Viégas Pedro Roberto Almeida
Published: July 2024

Introduction

Salicylic acid has shown promise in alleviating water stress in cultivated plants. However, there is a lack of studies confirming its effectiveness in cowpea plants grown in field conditions. Therefore, this research aimed to evaluate the use of salicylic acid as a water stress mitigator in cowpea cultivars under different irrigation depths in field conditions.

Methods

Four cowpea cultivars (BRS Novaera, BRS Tapaihum, BRS Pujante, and BRS Pajeú) were subjected to different treatments: control (W100: 100% replacement of crop evapotranspiration – ETc), W50 (50% of ETc), W50+SA2 (50% of ETc + 276 mg L-1 of SA), and W50+SA4 (50% of ETc + 552 mg L-1 of SA). The treatments were combined in a 4×4 factorial scheme with three replications, arranged in a randomized block design.

Results

Water restriction had a negative impact on the water status, growth, gas exchange, and production of the cultivars while also leading to changes in the antioxidant metabolism and osmolyte concentration. The application of SA enhanced antioxidant activity and the synthesis of osmotic adjusters under stress conditions. The most effective concentration was 276 mg L-1 in stage R2 and 552 mg L-1 in stage V7, respectively. The BRS Pujante cultivar showed increased productivity under water restriction with SA application, while the BRS Tapaihum was the most tolerant among the cultivars studied.

Discussion

In summary, our findings underscore the importance of using SA to mitigate the effects of water restriction on cowpea cultivation. These discoveries are crucial for the sustainability of cowpea production in regions susceptible to drought, which can contribute to food security. We further add that the adoption of new agricultural practices can enhance the resilience and productivity of cowpea as an essential and sustainable food source for vulnerable populations in various parts of the world.
Current status and needs of in-service training for psychiatric nurses in 24 provinces of China: a cross-sectional survey
Authors: Tan Xiaolin , Pan Minghao , Wan Zhiying , Yang Ying , Zhang Lijuan , Fang Yu , Li Xiaofen , Shen Meiyu
Published: July 2024

Aim

To investigate the current situation and need for post-competence training for psychiatric nurses in China and provide a reference for the development of training programs for psychiatric nurses.

Design

A cross-sectional design.

Methods

A cross-sectional study was conducted from August to October 2023 with 435 psychiatric nurses from 34 hospitals in 24 provinces of mainland China. A self-administered questionnaire was used for data collection. Descriptive statistics, non-parametric tests, and chi-square tests were used for data analysis.

Results

The training content for psychiatric nurses is extensive, and the training load is large. Psychiatric nurses have high training demands for first aid knowledge, emergency handling ability, and anti-riot skills. Nurses with different years of experience have different training needs. The training needs of psychiatric nurses in specialized and general hospitals also different.

Conclusion

The training status of psychiatric nurses is not consistent with the demand. Managers should combine this with psychiatric nurses’ own work needs to develop practical and effective training programs.
Strategic and self-regulated instruction in synthesis tasks in the university context
Authors: Robledo P. , Álvarez M. L.
Published: July 2024

Introduction

The aim of the study was to improve student skills in writing good-quality synthesis texts through a strategic, self-regulated instruction program aimed at ensuring that students properly activated reading and writing strategies required by the synthesis task.

Methods

The sample consisted of 84 university students who were randomly assigned to experimental or control conditions. The experimental group received an instructional program based on the development and self-regulated implementation of reading and writing strategies for producing synthesis texts. The control group received a program involving metacognitive knowledge of various academic text types. Both programs involved eight 60-min sessions, taught by teachers in a compulsory degree subject. For the evaluations, students produced synthesis texts from different source texts. The syntheses were graded considering text product measures: information selection, idea connection, text organization, and holistic quality; and measures of reading (underlining and note-taking) and writing (planning and review) strategies.

Results

The results show that the experimental group exhibited greater improvements in synthesis quality and greater improvements in activation of information organization processes, note-taking while reading, and text planning.

Discussion

In conclusion, university students can, following implementation of a strategic instructional procedure in the context of a study plan, adapt and re-work their own reading and writing strategies and apply them in a self-regulated manner to synthesis tasks, improving text quality and some of the cognitive processes involved.
Measures of youth e-cigarette use: strengths, weaknesses and recommendations
Authors: Selya Arielle , Ruggieri Martino , Polosa Riccardo
Published: July 2024

This perspective discusses how to best define “e-cigarette use” among youth in a way that is relevant to individual and human health. Commonly-used definitions of youth e-cigarette use have been adapted from measures validated for tobacco cigarette smoking among adults, but may not carry the same meaning for a different product (with a much lower risk profile and very different patterns of use) and a different population (whose use is more often transient and experimental, rather than frequent and persistent). We discuss strengths and weaknesses of different definitions, and recommend improvements in defining youth e-cigarette use. We find that current literature employs a range of definitions of e-cigarette use, from lifetime use (“even a puff”) to daily use. More lenient measures capture more potentially at-risk youth, but much of this is transient experimentation that has negligible risks in and itself, if not persistent. More stringent measures such as daily use are more relevant to individual and public health. Future research should examine possible improvements to definitions which include intensity of use (e.g., number of puffs per day) and persistence/duration of use, either via self-report or technology-assisted data capture.
Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study
Authors: Wang Xiaoyan , Fei Fangqin , Wei Jiawen , Huang Mingxue , Xiang Fengling , Tu Jing , Wang Yaping , Gan Jinhua
Published: July 2024

Objectives

The application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes of healthcare professionals toward its applications in nursing. This study aimed to explore the knowledge, attitudes, and concerns of healthcare professionals, AI-related professionals, and others in China toward AI in nursing.

Methods

We conducted an online cross-sectional study on nursing students, nurses, other healthcare professionals, AI-related professionals, and others in China between March and April 2024. They were invited to complete a questionnaire containing 21 questions with four sections. The survey followed the principle of voluntary participation and was conducted anonymously. The participants could withdraw from the survey at any time during the study.

Results

This study obtained 1,243 valid questionnaires. The participants came from 25 provinces and municipalities in seven regions of China. Regarding knowledge of AI in nursing, 57% of the participants knew only a little about AI, 4.7% did not know anything about AI, 64.7% knew only a little about AI in nursing, and 13.4% did not know anything about AI in nursing. For attitudes toward AI in nursing, participants were positive about AI in nursing, with more than 50% agreeing and strongly agreeing with each question on attitudes toward AI in nursing. Differences in the numbers of participants with various categories of professionals regarding knowledge and attitudes toward AI in nursing were statistically significant (p < 0.05). Regarding concerns and ethical issues about AI in nursing, every participant expressed concerns about AI in nursing, and 95.7% of participants believed that it is necessary to strengthen medical ethics toward AI in nursing.

Conclusion

Nursing students and healthcare professionals lacked knowledge about AI or its application in nursing, but they had a positive attitude toward AI. It is necessary to strengthen medical ethics toward AI in nursing. The study’s findings could help develop new strategies benefiting healthcare.
Exploring non-price factors shaping supply response: insights from Cameroon's banana and pineapple horticultural industries
Authors: Awa Samuel Taka , Molua Ernest , Raoul Fani Djomo Choumbou , Tabetando Rayner , Nkendah Robert , Ndip Francis E.
Published: July 2024

Horticulture has the potential to meet the development agenda of agrarian economies, like that of Cameroon, through the cultivation of high-value fruits and vegetables. Bananas and pineapples are two widely grown fruits in Cameroon for income, employment, and foreign earnings. Cameroon remains an important global player in the banana trade. To boost production, identifying important factors that drive the supply response of such crops is an important policy question. Here, we ask if non-price factors are important determinants of supply response of such horticultural crops, a question that has received very little attention. The objective of this study is thus to estimate the effect of non-price factors on the supply response of bananas and pineapples. To do this, a Nerlovian response function is directly estimated via an Error correction model using time series data, to capture long-run dynamics of production and supply. The results show that non-price factors such as rainfall, temperature, and land are the major drivers of the supply response of both crops. The effects of these factors, however, vary with the crops. We provide plausible explanations why non-price factors are salient. Our results suggest that improving the timely availability of weather and climate information, and input subsidies are possible areas for policy interventions.
The Physical, Mental, Spiritual, and Environmental (PMSE) Framework for Enhancing Wellness Tourism Experiences and Its Validation in the Context of Kerala, India
Authors: Kandan Parakkal Anju , Vazhakkatte Thazhathethil Bindu , George Babu
Published: July 2024

Wellness tourism has emerged as a thriving sector in Kerala, India, renowned for its Ayurveda treatments, yoga, and holistic well-being offerings. However, a comprehensive framework capturing the key dimensions of wellness tourism experiences remains underexplored. This study aims to validate the physical, mental, spiritual, and environmental (PMSE) framework within the context of Kerala’s wellness tourism industry. A quantitative research design was employed, utilizing data collected from wellness tourists who participated in various wellness services in Kerala. Confirmatory factor analysis (CFA) was conducted to assess the fitness of the PMSE framework. The findings reveal that mental experience and physical experience, with their respective sub-attributes, contribute significantly to the overall wellness tourism experience. The validated PMSE framework provides valuable insights for stakeholders, enabling them to enhance the quality and competitiveness of wellness tourism services in Kerala. By prioritizing the mental and physical dimensions of wellness experiences, Kerala can strengthen its position as a leading wellness tourism destination. This study advances the theoretical understanding of wellness tourism experiences and offers practical implications for destination management and service providers in Kerala’s wellness tourism industry.
Species Composition of Phytophagous and Entomophagous Insects and Mites on Soybeans in Krasnodar and Stavropol Territories, Russia
Authors: Agasyeva Irina Sergeevna , Ismailov Vladimir Yakovlevich , Petrishcheva Maria Vladimirovna , Nastasiy Anton Sergeevich , Petrishchev Viktor Sergeevich
Published: July 2024

Soybeans are a valuable crop in many countries of the world. To obtain stable yields, it is necessary to consider the activities of arthropods, both beneficial and destructive. The results of this study indicate high biodiversity. Most of the insects that feed on soy are polyphagous. In the years favorable for their development, omnivorous pests pose a serious threat to soybeans. The species composition of arthropods on soybeans of the Krasnodar and Stavropol territories of the Russian Federation during the years of the study was represented by 212 species (210 species of insects and 2 species of mites), including 101 species of phytophagous insects, which accounted for 48.5% of the total fauna and 109 species of entomophagous insects (51.7%). Most of the entomophages were parasitic Hymenoptera belonging to such families as Ichneumonidae, Braconidae, Aphidiidae, Eurytomidae, Ormyridae, Pteromalidae, Encyrtidae, Eupelmidae, Eulophidae, Elasmidae, Scelionidae, Platygastridae, and Chrysididae. The most numerous phytophagous insects damaging soybeans belonged to the Hemiptera order (34 out of 101 species of phytophages). The Lepidoptera order in the soybean agrocenosis was represented by 28 species (13.4% of the total fauna and 28.0% of the destructive fauna).
Antifungal Potential of Carnosic Acid from Salvia somalensis against Phytopathogenic Fungi
Authors: Iobbi Valeria , Lo Vetere Marta , Lanteri Anna Paola , Reinhardt Jakob K. , Danton Ombeline , Keller Morris , Hamburger Matthias , Salis Annalisa , Damonte Gianluca , Potterat Olivier , Bisio Angela
Published: July 2024

The aims of the present study were (i) to characterize the dichloromethane extract of the fresh aerial parts of S. somalensis, cultivated in Liguria (Italy), (ii) to quantify carnosic acid production and (iii) to find an eco-friendly alternative approach to control diseases caused by phytopathogenic fungi. The phytochemical investigation yielded several known terpenoids, as well as a diterpene, 4α,9α-epoxy-2H-dibenzo[a,d]cyclohepten-7(5H)-one, not previously described as a plant metabolite before. The results showed a noteworthy quantity of carnosic acid (113.90 µg/mg of dried extract). The potential antifungal activity of the plant surface extract and carnosic acid against five phytopathogenic fungi (Colletotrichum coccodes, Fusarium oxysporum, Sclerotinia sclerotiorum, Botrytis cinerea and Rhizoctonia solani) was considered. A complete inhibition of C. coccodes, S. sclerotiorum and R. solani mycelium growth was observed by carnosic acid at 500 µg/mL. High inhibition values were observed against B. cinerea and F. oxysporum compared to reference active ingredients. Four different B. cinerea strains exhibited a pronounced sensitivity to carnosic acid, as well as those originating from agricultural crop scenarios where a high load of active ingredient for gray mold control was historically adopted. Additionally, the formation and development of the germinative tube in B. cinerea were greatly slowed down.
Outbreak of Chlamydia psittaci Infection in a Commercial Psittacine Breeding Aviary in Argentina
Authors: Riccio María Belén , García Jorge Pablo , Chiapparrone María Laura , Cantón Juliana , Cacciato Claudio , Origlia Javier Anibal , Cadario María Estela , Diab Santiago Sain , Uzal Francisco Alejandro
Published: July 2024

Chlamydiosis, caused by Chlamydia psittaci is a bacterial infection found in at least 465 species of birds worldwide. It is highly contagious among birds and can spread to humans. In birds, the disease can manifest itself in acute, subacute, and chronic forms with signs including anorexia, diarrhea, lethargy, weight loss, or, occasionally, mucopurulent or serous oculonasal discharge. This article describes an outbreak of chlamydiosis that occurred in a commercial psittacine breeding aviary in 2021 in Buenos Aires province, Argentina. In total, 16 juvenile blue-fronted parrots, more than 60 blue-fronted parrot chicks, and 2 adult macaws died during the outbreak. In all cases, clinical signs were weight loss, diarrhea, yellowish green excrement, and respiratory distress. The necropsy of four juvenile blue-fronted parrots, two blue-fronted parrot chicks, and two adult macaws revealed cachexia, hepatomegaly, splenomegaly, splenic petechial hemorrhages, ascites, pulmonary edema, and hydropericardium. Histologically, multifocal lymphoplasmacytic and heterophilic airsaculitis, multifocal lymphoplasmacytic and necrotizing hepatitis with intracytoplasmic elementary bodies, multifocal necro-heterophilic hepatitis, multifocal lymphoplasmacytic nephritis, and diffuse heterophilic pneumonia were found. A presumptive diagnosis was established based on gross and microscopic lesions, and it was confirmed using immunohistochemistry and polymerase chain reactions. The sequencing and phylogenetic analysis of the ompA gene revealed genotype A and B of Chlamydia psittaci.
A Cyclic Peptide Based on Pheasant Cathelicidin Inhibits Influenza A H1N1 Virus Infection
Authors: Pei Yaping , Chen Zhihua , Zhao Ruihan , An Yanxing , Yisihaer Haiche , Wang Chaojie , Bai Yaning , Liang Libin , Jin Lin , Hu Yongting
Published: July 2024

Influenza viruses are the leading cause of upper respiratory tract infections, leading to several global pandemics and threats to public health. Due to the continuous mutation of influenza A viruses, there is a constant need for the development of novel antiviral therapeutics. Recently, natural antimicrobial peptides have provided an opportunity for the discovery of anti-influenza molecules. Here, we designed several peptides based on pheasant cathelicidin and tested their antiviral activities and mechanisms against the H1N1 virus. Of note, the designed peptides Pc-4 and Pc-5 were found to inhibit replication of the H1N1 virus with an IC50 = 8.14 ± 3.94 µM and 2.47 ± 1.95 µM, respectively. In addition, the cyclic peptide Pc-5 was found to induce type I interferons and the expression of interferon-induced genes. An animal study showed that the cyclic peptide Pc-5 effectively inhibited H1N1 virus infection in a mouse model. Taken together, our work reveals a strategy for designing cyclic peptides and provides novel molecules with therapeutic potential against influenza A virus infection.
Unveiling the Antimicrobial, Anti-Biofilm, and Anti-Quorum-Sensing Potential of Paederia foetida Linn. Leaf Extract against Staphylococcus aureus: An Integrated In Vitro–In Silico Investigation
Authors: Santajit Sirijan , Tunyong Witawat , Horpet Dararat , Binmut Asma , Kong-Ngoen Thida , Wisessaowapak Churaibhon , Thavorasak Techit , Pumirat Pornpan , Indrawattana Nitaya
Published: July 2024

Antimicrobial resistance poses a global health threat, with Staphylococcus aureus emerging as a notorious pathogen capable of forming stubborn biofilms and regulating virulence through quorum sensing (QS). In the quest for novel therapeutic strategies, this groundbreaking study unveils the therapeutic potential of Paederia foetida Linn., an Asian medicinal plant containing various bioactive compounds, contributing to its antimicrobial activities, in the battle against S. aureus. Through a comprehensive approach, we investigated the effect of ethanolic P. foetida leaf extract on S. aureus biofilms, QS, and antimicrobial activity. The extract exhibited promising inhibitory effects against S. aureus including the biofilm-forming strain and MRSA. Real-time PCR analysis revealed significant downregulation of key virulence and biofilm genes, suggesting interference with QS. Biofilm assays quantified the extract’s ability to disrupt and prevent biofilm formation. LC-MS/MS analysis identified quercetin and kaempferol glycosides as potential bioactive constituents, while molecular docking studies explored their binding to the QS transcriptional regulator SarA. Computational ADMET predictions highlighted favorable intestinal absorption but potential P-glycoprotein interactions limiting oral bioavailability. While promising anti-virulence effects were demonstrated, the high molecular weights and excessive hydrogen bond donors/acceptors of the flavonoid glycosides raise concerns regarding drug-likeness and permeability. This integrated study offers valuable insights for developing novel anti-virulence strategies to combat antimicrobial resistance.
Treating Infected Non-Healing Venous Leg Ulcers with Medical-Grade Honey: A Prospective Case Series
Authors: Papanikolaou Georgios E. , Gousios Georgios , Cremers Niels A. J. , Peters Linsey J. F.
Published: July 2024

Venous leg ulcers (VLUs) are hard-to-heal wounds and are prone to microbial colonization. Innovative and improved therapies are thus required to resolve local infection and enhance the wound healing process. The objective of this study was to evaluate the effectiveness of medical-grade honey (MGH) for the treatment of clinically infected and non-healing VLUs. This prospective case series included nine patients with an average age of 83.4 years (range: 75–91 years) with a total of eleven VLUs, previously ineffectively treated with various products. Major risk factors for the appearance of VLUs were chronic venous insufficiency, advanced age, multiple comorbidities (particularly cardiovascular diseases), and impaired mobility. All wounds presented with local signs of infection. Upon presentation, treatment was commenced with a range of MGH-based products (L-Mesitran®). Clinical signs of infection were eliminated by MGH after 2.2 weeks on average (range: 1–4 weeks), and wounds were completely healed after 7 weeks on average (range: 3–18 weeks). No further complications or recurrences were observed. MGH has a broad-spectrum antimicrobial activity and promotes rapid healing, thus improving patients’ quality of life. Moreover, MGH-based products are safe, easy to use, cost-effective, and can effectively treat VLUs alone or in combination with standard-of-care therapies.
4D Printing: Bridging the Gap between Fundamental Research and Real-World Applications
Authors: Demoly Frédéric , André Jean-Claude
Published: July 2024

The Special Issue “4D Printing: State-of-the-art, Recent Trends, and Applications” highlights the significant impact of scientific advancements on practical and innovative applications. It focuses on the interdisciplinary challenges of multi-material printability on a voxel basis and optimizing the actuation performance of composite structures with various stimuli. Key considerations, such as mechanical strength and potential adverse effects, shape the design methods suited to specific quantitative data limitations. Four-dimensional printing calls for creativity, interdisciplinary collaboration, and practical applications. While recognizing experience-based approaches in research, this review paper emphasizes integrating science and technology through alternative strategies; innovative approaches; and the exploration of engineering, design, and artificial intelligence.
Assessment of Spatial Variability in Ground Models Using Mini-Cone Penetration Testing
Authors: Jeong Sugeun , Lee Yonghee , Kim Haksung , Park Jeongseon , Kim Daehyeon
Published: July 2024

The assessment of spatial variability in the ground through field experiments has many constraints due to non-homogenous ground conditions and lack of site investigations. For this reason, spatial variability has not been considered in typical analyses. Also, few studies have been conducted on ground spatial variability using models in the laboratory. However, it is necessary to evaluate spatial variability in the ground for more precise analysis and design of construction projects. In this study, in order to evaluate spatial variability in the ground, we performed a number of Mini-Cone Penetration Tests (CPTs) in ground models with one layer of silica sand soil and two layers of silica and weathered soils. Through the Mini-CPTs, cone penetration resistances with depth were measured at many points. Based on the data, the coefficient of variation (CV) and the correlation length (CL) were calculated to quantitatively analyze the vertical and horizontal variability in the ground models. The results showed how the spatial variability in the two ground models varied. This implies that considering spatial variability in the ground can significantly enhance the accuracy of the analysis and design of construction projects.
Automated Destination Renewal Process for Location-Based Robot Errands
Authors: Lee Woo-Jin , Yun Sang-Seok
Published: July 2024

In this paper, we propose a new approach for service robots to perform delivery tasks in indoor environments, including map-building and the automatic renewal of destinations for navigation. The first step involves converting the available floor plan (i.e., CAD drawing) of a new space into a grid map that the robot can navigate. The system then segments the space in the map and generates movable initial nodes through a generalized Voronoi graph (GVG) thinning process. As the second step, we perform room segmentation from the grid map of the indoor environment and classify each space. Next, when the delivery object is recognized while searching the set space using the laser and RGB-D sensor, the system automatically updates itself to a position that makes it easier to grab objects, taking into consideration geometric relationships with surrounding obstacles. Also, the system supports the robot to autonomously explore the space where the user’s errand can be performed by hierarchically linking recognized objects and spatial information. Experiments related to map generation, estimating space from the recognized objects, and destination node updates were conducted from CAD drawings of buildings with actual multiple floors and rooms, and the performance of each stage of the process was evaluated. From the quantitative evaluation of each stage, the proposed system confirmed the potential of partial automation in performing location-based robot services.
Borehole Condition and Limit Pressure Differential Analysis in Carbonate Reservoirs
Authors: Wang Long , Su Peng , Tan Qiang , Li Ke , Hu Naikun
Published: July 2024

In deep carbonate reservoirs, testing and production with open-hole completion can help release the maximum production capacity. However, because the reservoir is subjected to high in situ stress, if the test pressure differential is too large, the wellbore collapse and instability will occur easily, causing downhole accidents. Therefore, it is necessary to determine the state of the borehole during the open-hole test in the carbonate reservoir and analyze the ultimate test pressure differential accordingly to ensure test safety. Considering the characteristics of open-hole completion, based on the mechanical properties of the carbonate reservoir and the stress distribution around the borehole during testing, a calculation method of the elastic zone, plastic zone, and residual failure zone around the open-hole wellbore was proposed. Regarding actual engineering data, a criterion for the overall stability of the open-hole section had been established from three aspects: the volume ratio of the plastic zone; the failure zone around the wellbore; and the failure angle on the borehole wall. According to this criterion, it is possible to determine the ultimate pressure differential during the open-hole test process and provide theoretical support for designing the open-hole completion test and production parameters for deep carbonate reservoirs.
Research on Outgoing Moisture Content Prediction Models of Corn Drying Process Based on Sensitive Variables
Authors: Xing Simin , Lin Zimu , Gao Xianglan , Wang Dehua , Liu Guohui , Cao Yi , Liu Yadi
Published: July 2024

Accurate prediction of outgoing moisture content is the key to achieving energy-saving and efficient technological transformation of drying. This study relies on a grain drying simulation experiment system which combined counter and current drying sections to design corn kernel drying experiments. This study obtains 18 kinds of temperature and humidity variables during the drying process and uses Uninformative Variable Elimination (UVE) method to screen sensitive variables affecting the outgoing moisture content. Subsequently, six prediction models for the outgoing corn moisture content were developed, innovatively incorporating Multiple Linear Regression (MLR), Extreme Learning Machine (ELM), and Long Short-Term Memory (LSTM). The results show that eight sensitive variables have been screened to predict the moisture content of outgoing corn. The sensitive variables effectively reduced the redundancy and multicollinearity of data in the MLR model and improved the coefficient of determination (R2) of ELM and LSTM models by 0.02 and 0.05. The MLR prediction model established based on the full set of temperature and humidity data has an R2 of 0.910 and a root-mean-square error (RMSE) of 0.881%, while the UVE-ELM and UVE-LSTM prediction models achieve a better fitting effect and prediction accuracy. The UVE-LSTM model is set with a batch size of 30, a learning rate of 0.01, and 100 iterations. For the training set of UVE-LSTM, the R2 value is 0.931 and the RMSE value is 0.711%. The UVE-ELM model, with sigmoid as the activation function and 14 neurons configured, runs fast and has the best prediction accuracy. The R2 values of UVE-ELM training set and validation set are 0.943 and 0.946, respectively, and the RMSEs are 0.544% and 0.581%. The models proposed in this study provide data reference and technical support for process optimization and automation control of the corn drying process.
The Influence of the Strain-Hardening Model in the Axial Force Prediction of Single Point Incremental Forming
Authors: Perez-Santiago Rogelio , Hendrichs Nicolas J. , Capilla-González Gustavo , Vázquez-Lepe Elisa , Cuan-Urquizo Enrique
Published: July 2024

Estimation of the loading conditions during incremental sheet forming is important for designing dedicated equipment, safely utilizing adapted machinery, and developing online process control strategies or trajectory compensation for robot compliance. In this study, we investigate the forming force of pyramidal components of uniform wall angles through analytical, experimental, and numerical approaches. After reviewing the existing research, the accuracy of the estimations from two analytical models and finite element simulations was assessed. Experimental results revealed that the maximum force occurs at 45° and 60° for AA1050-H24 and AISI-SAE 304 materials, respectively. FEA simulations leveraging tensile test data and refined isotropic hardening laws provided conservative estimations for the two materials. In the case of the AA1050-H24, numerical models accurately reproduce the experimental trend of components formed with Single Point Incremental Forming (SPIF) at different wall angles. On the other hand, alternative hardening models may be required to improve the force predictions for the AISI-SAE 304 material.