bluuebunny/crossref_metadata_2025 huggingface dataset:
Is culture the key? Emotional intelligence, autonomous motivation and physical activity of student-athletes from China and Russia
Authors: Rogaleva Liudmila Nikolaevna , Zhong Tao , Garcia-Mas Alexandre
Published: July 2024

Emotional intelligence is considered as an important factor impacting on sports motivation of students-athletes. Meanwhile the role of culture in the development of emotional intelligence is still insufficiently studied in sports psychology. The purpose of the study included comparing the indicators of emotional intelligence of student-athletes in China and Russia, identifying the relationship between emotional intelligence, sports motivation and physical activity, as well as studying the prognostic effect of emotional intelligence on autonomous motivation. The research was done among 474 student- athletes. In Chinese students sample (N = 281), the 163 men and 118 women. In the Russian student sample (N = 193), there were 64 men and 129 women. The following research methods were used: emotional intelligence scale, the sport motivation scale-6, the international physical activity questionnaire. The results of the study have showed that the level of emotional intelligence of Chinese student-athletes is higher than that of Russian students-athletes. Positive correlations between emotional intelligence, autonomous motivation and physical activity were found in both samples. At the same time, the correlation coefficient in the Russian sample was lower. A predictive relationship between emotional intelligence and autonomous motivation has been established; meanwhile the self-assessment of emotions and emotion regulation make the greatest contribution to autonomous motivation in the Chinese sample, while in the Russian sample there is only the use of emotions. Considering the cultural context can contribute to the preparation effective programs for the development of emotional intelligence and autonomous motivation for physical activity.
Borderline personality disorder and risk of atrial fibrillation: insights from a bidirectional Mendelian randomization study
Authors: Zhou Wenzhe , Wang Zhimiao , Hu Hesheng , Shi Yugen , Wang Qiubo , Xue Mei
Published: July 2024

Background

Atrial fibrillation (AF) is one of the most common form of arrhythmia. Previous studies have shown a link between AF and mental illness. However, the causal relationship between mental illness and AF remains unclear. The purpose of this study was to investigate the bidirectional causal relationship between borderline personality disorder (BPD) and AF.

Method

We used the bidirectional Two-sample Mendelian randomization (TSMR) method to evaluate the causal relationship between BPD and AF. Instrumental variables associated with BPD were derived from a genome-wide association study involving 214,816 Europeans (2,637 cases and 212,179 controls). We then obtained atrial fibrillation data from the GWAS meta-analysis (60,620 cases and 970,216 controls). The TSMR analyses were performed in five methods, namely fixed-effect inverse-variance weighted (IVW) method、random-effect IVW method, MR Egger regression method, Weighted median method and Simple mode method. Several sensitivity analyses are used to test the robustness of positive results.

Results

The fixed-effect inverse-variance weighted model [Odds ratio (OR), 1.033, 95% confidence interval (CI), 1.011-1.056, P = 0.0031], random-effect inverse-variance weighted model (OR, 1.033; 95%CI, 1.005-1.062; P = 0.0191) and Weighted median (OR, 1.034; 95%CI, 1.002-1.068; P = 0.0394) all showed that genetically predicted BPD was associated with an increased risk of AF. Sensitivity analysis using other MR Methods, including the MR-Egger intercept, MR-Presso method, and leave-one-out analyses, showed that the results were robust. In reverse MR analysis, there was no causal relationship of AF on BPD.

Conclusion

Our study provides a causal relationship between BPD and AF. This means that patients with BPD should be monitored for the occurrence of AF. Early screening and proper management of BPD may show anti-arrhythmic benefits.
The relationship between quality of life, sleep quality, mental health, and physical activity in an international sample of college students: a structural equation modeling approach
Authors: Moussa-Chamari Imen , Farooq Abdulaziz , Romdhani Mohamed , Washif Jad Adrian , Bakare Ummukulthoum , Helmy Mai , Al-Horani Ramzi A. , Salamh Paul , Robin Nicolas , Hue Olivier
Published: July 2024

Objective

We assessed the direct and indirect relationships between sleep quality, mental health, and physical activity with quality of life (QOL) in college and university students.

Methods

In a cross-sectional design, 3,380 college students (60% females; age = 22.7 ± 5.4) from four continents (Africa: 32%; America: 5%; Asia: 46%; and Europe: 15%; others: 2%) completed the Pittsburgh Sleep Quality Index (PSQI); Insomnia Severity Index (ISI); Epworth Sleepiness Scale (ESS); the Depression, Anxiety, and Stress Scale 21 (DASS); the International Physical Activity Questionnaire short-form (IPAQ); and the World Health Organization Quality of Life-BREF (WHOQOL-Brief).

Results

We showed that sleep quality, insomnia, and depression had direct negative effects on the physical domain of QOL (β = −0.22, −0.19, −0.31, respectively, p < 0.001). There was a strong negative direct association between depression and the psychological domain of QOL (β = −0.60, z = −22.21, p < 0.001). Both stress and PSQI had direct effects on social relationships QOL (β = 0.11; z = 4.09; and β = −0.13; z = −7.40, respectively, p < 0.001). However, depression had the strongest direct impact on social relationships QOL (β = −0.41, z = −15.79, p < 0.001).

Conclusion

The overall QOL of university students is associated with their sleep quality, mental health, and physical activity warranting further interventional studies aiming at improving students’ quality of life.
Effects of mind–body therapies on depression among adolescents: a systematic review and network meta-analysis
Authors: Luo Shulai , Mei Zhengyang , Fang Guisong , Mu Guogang , Zhang Xiuying , Luo Shi
Published: July 2024

Background

Depression poses significant threats to adolescents’ health globally. Research has shown the potential of mind–body therapies to alleviate depression, but limited studies have directly compared the therapeutic effects of different types of mind–body therapies on adolescent depression and the optimal therapy remain unclear. Therefore, we conducted a systematic review and network meta-analysis of randomized controlled trials that met the inclusion criteria to explore the effectiveness of different types of mind–body therapies as interventions to improve depression among adolescents, and to identify the most effective interventions.

Methods

A comprehensive search of databases including PubMed, EMBASE, Cochrane Library, Web of Science, and Scopus up to January 2024 was conducted to assess the impact of mind–body therapies on depression among adolescents. The risk of bias of the included studies was evaluated using Cochrane Review Manager 5.4. STATA 18.0 was used for network meta-analysis. The node-splitting method was used to test the local inconsistency of the network meta-analysis. Funnel plots and the Egger’s test were utilized to assess the potential impact of bias in this study.

Result

This network meta-analysis included 9 randomized controlled trials involving a total of 955 subjects. The results indicated that yoga, dance therapy and Tai Chi were more effective than other mind–body therapies in reducing symptoms of depression among adolescents. Specifically, according to the SUCRA ranking, yoga was rated to be the optimal intervention for adolescents with depression (SCURA: 82.2%), followed by dance therapy (SCURA: 77.5%) and Tai Chi (SCURA: 64.9%).

Conclusion

This study revealed that mind–body therapies have positive effects on improving depression among adolescents. Yoga may be the most effective intervention among the different types of mind–body therapies. However, due to the small sample size of patients included, the certainty of the results was limited to some extent. Therefore, further investigation is necessary to strengthen the evidence base when more relevant studies become available.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024508774.
Case report: Aggressive natural killer cell leukemia and refractory hemophagocytic lymphohistiocytosis in an adolescent
Authors: Spaner Caroline , Durkee-Shock Jessica , Weng Andrew , Stubbins Ryan , Gerrie Alina S. , Pittaluga Stefania , Cohen Jeffrey I. , Chen Luke Y. C.
Published: July 2024

Aggressive natural killer cell leukemia (ANKL) is a rare, aggressive hematologic malignancy which often presents as fulminant Epstein-Barr virus (EBV)- driven hemophagocytic lymphohistiocytosis (HLH). ANKL lacks a distinct immunologic and morphologic signature, making early diagnosis particularly challenging. Here we present a case of ANKL in a patient presenting with EBV-HLH. After poor treatment response to the HLH-2004 protocol (etoposide and dexamethasone), bone marrow biopsy demonstrated an atypical CD3-/CD56+ natural killer (NK) cell population with diminished CD7 expression consistent with EBV+ ANKL. Asparaginase-based chemotherapy was initiated but his disease progressed and he died from multiorgan failure. This case highlights the diagnostic challenges of ANKL given the lack of standardized diagnostic criteria, the importance of considering T/NK cell malignancies in the differential diagnosis of EBV-HLH, and adds to the literature on this rare disease.
Investigating the association between tobacco use and oral health among security guards at a tertiary healthcare centre in New Delhi: a cross-sectional study
Authors: Chauhan Neha , Paul Sarah , Bhadauria Upendra Singh , Purohit Bharathi M. , Duggal Ritu , Barma Manali Deb , Agarwal Deepali , Bhukal Anuradha , Sasidharan S , Shukla Pallavi , Khan Maroof , Shenoy Ramya , Malhotra Sumit , Priya Harsh
Published: July 2024

Background

Tobacco usage is a major global public health concern, contributing to millions of deaths annually. This study focuses on security guards, an occupational group facing unique challenges, to investigate tobacco prevalence, usage patterns, and associated oral health risks.

Methods

A cross-sectional study was conducted among security guards at a Tertiary Health Care Centre, from October 2022 to February 2023. Data on demographics, tobacco habits, and comorbidities were collected via a structured questionnaire. Clinical oral examinations provisionally diagnosed Oral Potentially Malignant Disorders (OPMDs) based on clinical findings. Appropriate Statistical analyses were employed.

Results

Among 696 security guards, 40.1% used tobacco, including 15.0% smokers and 74.5% engaging in smokeless tobacco. Additionally, 10.3% reported using both smoking and smokeless forms. Non-tobacco users accounted for 59.9%. Tobacco users showed a higher prevalence of OPMDs (11.4%) compared to non-tobacco users (1.4%).

Discussion

Security guards demonstrated a higher tobacco prevalence, with smokeless tobacco being predominant. Gender disparities in tobacco use emphasize the need for gender-specific interventions. The study highlights the significant impact of tobacco on oral health, especially the risk of OPMDs.

Conclusion

A high prevalence of tobacco usage (40.1%), particularly smokeless tobacco, among security guards, emphasizes the importance of targeted interventions within this occupational group. Oral Potentially Malignant Disorders (OPMDs) were significantly more prevalent (11.4%) in tobacco users. The association between tobacco usage and OPMDs reaffirms the well-established association between tobacco and adverse oral health outcomes.
Interdisciplinary perspectives on sustainability in higher education: a sustainability competence support model
Authors: Annelin Alice , Boström Gert-Olof
Published: July 2024

After several decades of work toward elevating sustainability education, many have called for a transformation of the education system to create timely action. Teachers, students, organizational leaders, and many other stakeholders have voiced their dissatisfaction with their experience of sustainability education. Some say we can do more to create real action for sustainable futures. We investigate what, how and why lectures across disciplines at universities in different countries work with sustainability education. We conduct interviews and dialogs with teachers across disciplines to uncover interdisciplinary perspectives on sustainability education and how to move forward. The emerging reflections provide insights about transformations in the strategies and systems, and how to implement sustainability education. There is also a call for reuniting diverse intrapersonal and values thinking between stakeholders to support transformations in sustainability education. Furthermore, participants imagined the future as a creative space where collaboration across disciplines facilitates a student-centred transdisciplinary experience with real-world practice. This study provides insights into the mindset of teachers across disciplines and countries. A sustainability competence-based support model about the current sustainability education discourse is developed.
From few large to many small investments: lessons for adaptive irrigation development in an uncertain world
Authors: Prasad Pooja , Duker Annelieke , Velasquez Diego Zuluaga , Chauruka Moline , Karimba Benson M. , de Fraiture Charlotte , Manzungu Emmanuel , van der Zaag Pieter
Published: July 2024

Conventional approaches to irrigation development involve large lumpsum investments in big infrastructure that cannot adapt to changing climate and socio-economic conditions. There is an urgent need for alternative ways of investing in smallholder irrigation in Sub-Saharan Africa (SSA) that are adaptive and avoid capital lock-in. Adaptive Investment Pathways (AdIP), inspired by the Dynamic Adaptive Policy Pathways (DAPP) concept, proposes stepwise investments to support smallholder irrigation development. AdIP builds resilience to future shocks through dynamic and flexible investment plans instead of investing in single static solutions. To develop an empirical grounding for operationalizing AdIP, we draw lessons from three case studies representing different stages of irrigation development along shallow sand river aquifers in Kenya and Zimbabwe. We retrospectively analyse the nature of investments at farm and landscape scales, and the type of risks and opportunities that farmers respond to. We find that in face of risks, farmers diversify their livelihoods, make small investments incrementally especially in response to opportunities and risks created by external triggers, and pause or reorient activity when they reach saturation points, i.e., biophysical or socio-political limits to their development objective, here irrigation development. Governments and external agencies can support smallholder irrigation development in SSA through targeted landscape scale investments that address saturation points faced by smallholders. This requires a robust participatory monitoring framework to identify and respond to saturation points, and a re-thinking of financing mechanisms which do not measure progress against a fixed schedule of investments, but instead measure continuous progress towards the development objective.
Spatio-temporal analysis of land use and land cover changes in a wetland ecosystem of Bangladesh using a machine-learning approach
Authors: Siddique Abu Bokkar , Rayhan Eliyas , Sobhan Faisal , Das Nabanita , Fazal Md Azizul , Riya Shashowti Chowdhury , Sarker Subrata
Published: July 2024

This study investigates quantifiable and explicable changes in Land Use and Land Cover (LULC) within the context of a freshwater wetland, Hakaluki Haor, in Bangladesh. The haor is a vital RAMSAR site and Ecologically Critical Area (ECA), which needs to be monitored to investigate LULC change patterns for future management interventions. Leveraging Landsat satellite data, the Google Earth Engine Database, CART algorithm, ArcGIS 10.8 and the R programming language, this study analyses LULC dynamics from 2000 to 2023. It focuses explicitly on seasonal transitions between the rainy and dry seasons, unveiling substantial transformations in cumulative LULC change patterns over the study period. Noteworthy changes include an overall reduction (~51%) in Water Bodies. Concurrently, there is a significant increase (~353%) in Settlement areas. Moreover, vegetation substantially declines (71%), while Crop Land demonstrates varying coverage. These identified changes underscore the dynamic nature of LULC alterations and their potential implications for the environmental, hydrological, and agricultural aspects within the Hakaluki Haor region. The outcomes of this study aim to provide valuable insights to policymakers for formulating appropriate land-use strategies in the area.
Challenges in navigating the education-migration pathways, and subjective well-being of highly educated immigrants: the case of Indian student immigrants in the United Kingdom
Authors: Udayanga Samitha
Published: July 2024

Migration is generally considered to be a driver of enhancing the subjective well-being of immigrants; however, personal characteristics such as educational attainment, migration channel, and country of origin may moderate the impact of immigrant life on expected well-being. Therefore, the present study aimed to explore the intersections between the lived experiences of post-secondary Indian immigrant students in the United Kingdom (UK), the challenges they encounter as immigrants, and how these experiences could impact their subjective well-being. A qualitative research design was employed, which included a focus group discussion and 24 in-depth interviews with postgraduate students who had migrated from India to the United Kingdom. Four themes generated from the thematic analysis, which overall indicated that individuals who came to the United Kingdom as international students to study, work, and settle over time often found themselves unable to leverage their educational credentials to establish expected subjective well-being. This was primarily due to the systematic denial of their agency (capability) to overcome challenges in the host society. Reasons include becoming involuntarily immobile in the host country, incongruency between past expectations and present experiences and prospects, socio-emotional and financial costs associated with immigrant life that hinder the freedom of agency, and bureaucratic burdens. All these reasons can generate an unconducive environment for those immigrants who took part in the study, ultimately decreasing their life satisfaction and positive feelings while increasing negative feelings. In conclusion, the findings question the widely held belief that migration can increase subjective well-being and describe how migration comes at a cost, along with several other challenges, particularly for those who have moved first to learn, secondly to earn, and then to settle in. The channel of migration (migration for education and then to settle in) thus plays a crucial role in determining the outcomes of migration while influencing the anticipated subjective well-being of migrants.
Bioactivation of cinnamic alcohol in a reconstructed human epidermis model and evaluation of sensitizing potency of the identified metabolites
Authors: Ndreu Lorena , Carlsson Josefine , Ponting David J. , Niklasson Ida B. , Stéen E. Johanna L. , McHugh Lukas , O’Boyle Niamh M. , Luthman Kristina , Karlberg Ann-Therese , Karlsson Isabella
Published: July 2024

Background

Cinnamic alcohol is a natural compound, widely used in fragrances, which can cause allergic contact dermatitis. Cinnamic alcohol lacks intrinsic reactivity and autoxidation or metabolic activation is necessary for it to act as a sensitizer.

Methods

Bioactivation of cinnamic alcohol was explored using human liver microsomes, human liver S9 and SkinEthic™ Reconstructed Human Epidermis. A targeted multiple reaction monitoring mass spectrometry method was employed to study and quantify cinnamic alcohol along with eight potential phase I or phase II metabolites. The reconstructed human epidermis model, treated with cinnamic alcohol, was also analyzed with a non-targeted high-resolution mass spectrometry method to identify metabolites not included in the targeted method.

Results

Two metabolites identified with the targeted method, namely, pOH-cinnamic alcohol and pOH-cinnamic aldehyde, have not previously been identified in a metabolic in vitro system. Their reactivity toward biologically relevant nucleophiles was investigated and compared to their sensitizing potency in vivo in the murine local lymph node assay (LLNA). According to the LLNA, the pOH-cinnamic alcohol is non-sensitizing and pOH-cinnamic aldehyde is a moderate sensitizer. This makes pOH-cinnamic aldehyde less sensitizing than cinnamic aldehyde, which has been found to be a strong sensitizer in the LLNA. This difference in sensitizing potency was supported by the reactivity experiments. Cinnamic sulfate, previously proposed as a potential reactive metabolite of cinnamic alcohol, was not detected in any of the incubations. In addition, experiments examining the reactivity of cinnamic sulfate toward a model peptide revealed no evidence of adduct formation. The only additional metabolite that could be identified with the non-targeted method was a dioxolan derivative. Whether or not this metabolite, or one of its precursors, could contribute to the sensitizing potency of cinnamic alcohol would need further investigation.

Discussion

Cinnamic alcohol is one of the most common fragrance allergens and as it is more effective to patch test with the actual sensitizer than with the prohapten itself, it is important to identify metabolites with sensitizing potency. Further, improved knowledge of metabolic transformations occurring in the skin can improve prediction models for safety assessment of skin products.
Role of glutamine metabolism in tuberculosis pathogenesis: a mini review
Authors: Parveen Sadiya , Bishai William R.
Published: July 2024

Mycobacterium tuberculosis (Mtb) has remained one of the major infectious disease killers for generations and generations. In 2023 alone, this ancient disease was responsible for the death of 1.4 million individuals and has infected 10.6 million people. With the ever-evolving multi- and extremely resistant Mtb strains, the need for novel and effective drugs requiring shorter treatment regimens represents an urgent medical need for the development of new drugs. Over the last two decades, the field of host-directed therapy as a potential novel avenue for new approaches to TB treatment, either as a mono or adjuvant therapy, has garnered increasing attention. Among many host-directed targets, host immunometabolism has emerged as one of the most attractive targets for developing new host-directed therapies. As one of the most successful bacterial pathogens, Mtb has evolved several mechanisms to modulate numerous host metabolic pathways, including glycolysis, glutaminolysis, Kreb cycle, and oxidative phosphorylation. This mini review will focus on glutamine metabolism and its emergence as a potential target for treating tuberculosis (TB). In the last several decades, the role of glutamine metabolism in cancer and neurological disorders has been extensively studied. However, the association of glutamine metabolism with infectious disease has remained underappreciated. The aim of this review is to not only discuss the current knowledge in the field but also the existing knowledge gap that needs further exploration.
Statistical shape modeling of the geometric morphology of the canine femur, tibia, and patella
Authors: Huart Jeremy , Pozzi Antonio , Bleedorn Jason , Lu Tung-Wu , Knell Sebastian , Park Brian
Published: July 2024

Bone morphometry varies among dogs of different sizes and breeds. Studying these differences may help understand the predisposition of certain breeds for specific orthopedic pathologies. This study aimed to develop a statistical shape model (SSM) of the femur, patella, and tibia of dogs without any clinical orthopeadic abnormalities to analyze and compare morphological variations based on body weight and breed. A total of 97 CT scans were collected from different facilities and divided based on breed and body weight. The 3D models of the bones were obtained and aligned to a coordinate system. The SSM was created using principal component analysis (PCA) to analyze shape variations. The study found that the first few modes of variation accounted for a significant percentage of the total variation, with size/scale being the most prominent factor. The results provide valuable insights into normal anatomical variations and can be used for future research in understanding pathological bone morphologies and developing 3D imaging algorithms in veterinary medicine.
Breath-by-breath assessment of acute pulmonary edema using electrical impedance tomography, spirometry and volumetric capnography in a sheep (Ovis Aries) model
Authors: Raisis Anthea , Mosing Martina , Sacks Muriel , Hosgood Giselle , Schramel Johannes , Blumer Sarah , Böhm Stephan H.
Published: July 2024

Background

The bedside diagnosis of acute pulmonary edema is challenging. This study evaluated the breath-by-breath information from electrical impedance tomography (EIT), respiratory mechanics and volumetric capnography (VCap) to assess acute pulmonary edema induced by xylazine administration in anesthetized sheep.

Objective

To determine the ability and efficiency of each monitoring modality in detecting changes in lung function associated with onset of pulmonary edema.

Methods

Twenty healthy ewes were anesthetized, positioned in sternal (prone) recumbency and instrumented. Synchronized recordings of EIT, spirometry and VCap were performed for 60 s prior to start of injection, during xylazine injection over 60 s (0–60 s) and continuously for 1 min (60–120 s) after the end of injection. After visual assessment of the recorded mean variables, statistical analysis was performed using a mixed effect model for repeated measures with Bonferroni’s correction for multiple comparisons, to determine at which breath after start of injection the variable was significantly different from baseline. A significant change over time was defined as an adjusted p < 0.05. All statistics were performed using GraphPad Prism 0.1.0.

Results

Electrical impedance tomography showed significant changes from baseline in all but two variables. These changes were observed simultaneously during xylazine injection at 48 s and were consistent with development of edema in dependent lung (decreased end-expiratory lung impedance, ventilation in centro-ventral and ventral lung region) and shift of ventilation into non-dependent lung (decreased non-dependent silent spaces and increased center of ventilation ventral to dorsal and increased ventilation in centro-dorsal and dorsal lung region). All changes in lung mechanics also occurred during injection, including decreased dynamic respiratory system compliance and increased peak expiratory flow, peak inspiratory pressure and airway resistance at 48, 54 and 60 s, respectively. Changes in VCap variables were delayed with all occurring after completion of the injection.

Conclusion

In this model of pulmonary edema, EIT detected significant and rapid change in all assessed variables of lung function with changes in regional ventilation indicative of pulmonary edema. Volumetric capnography complemented the EIT findings, while respiratory mechanics were not specific to lung edema. Thus, EIT offers the most comprehensive method for pulmonary edema evaluation, including the assessment of ventilation distribution, thereby enhancing diagnostic capabilities.
Prevalence and subtypes of Blastocystis in wild rodents from three provinces in China
Authors: Gao Zhen-Qiu , Wang Hai-Tao , Hou Qing-Yu , Qin Ya , Yang Xing , Zhao Quan , Ma He
Published: July 2024

Introduction

Blastocystis is one of the most critical intestinal protozoans in various hosts, including humans and mice. To determine the status of Blastocystis infection in wild rodents in China.

Methods

A total of 344 faecal samples were collected from seven wild rodent species from three provinces, and the small subunit ribosomal RNA (SSU rRNA) genes of Blastocystis were amplified to determine their prevalence and subtypes.

Results

Of the 344 samples, 54 (15.70%) were detected as Blastocystis-positive. The prevalence of Blastocystis was 26.14% (40/153), 7.95% (7/88), and 6.80% (7/103) in wild rodents from Hunan Province, Yunnan Province, and Guangxi Province, respectively. The prevalence of Blastocystis in different wild rodent species varied from 0.00% (0/13) in Mus musculus to 40.00% (2/5) in Rattus rattus sladeni. The prevalence of Blastocystis in samples from the lake beach area (27.40%, 40/146) was significantly higher than in those from the mountain (6.80%, 7/103) and field regions (7.37%, 7/95). The prevalence in different seasons was 26.14% in summer (40/153), 7.95% in autumn (7/88), and 6.80% in winter (7/103). Moreover, a total of two Blastocystis subtypes were identified in the investigated wild rodents, including ST4 and ST5.

Discussion

The present study discovered the existence of Blastocystis infection in Rattus favipectus, Microtus fortis, Apodemus agrarius, Bandicota indica, Rattus rattus sladeni, and Rattus losea, expanding the host range of this parasite. The findings also demonstrate that wild rodents may be an important potential infection source for Blastocystis infection in humans and other animals.
Inhibition of porcine reproductive and respiratory syndrome virus replication by rifampicin in vitro
Authors: Wei Ruiping , Li Lu , Chen Haifan , Wang Xiaoying , Chen Yaosheng , Liu Xiaohong
Published: July 2024

Porcine reproductive and respiratory syndrome virus (PRRSV) continues to cause significant economic losses to the global swine industry, yet effective prevention and control measures remain elusive. The development of novel antivirals is thus urgently needed. Rifampicin (RFP), a semisynthetic derivative of rifamycin, has been previously reported to inhibit the replication of certain mammalian DNA viruses as well as RNA viruses. In this study, we unveil RFP as a potent inhibitor of PRRSV both in Marc-145 cells (half-maximal inhibitory concentration 61.26 μM) and porcine alveolar macrophages (half-maximal inhibitory concentration 53.09 μM). The inhibitory effect of RFP occurred during viral replication rather than binding, internalization and release. We also demonstrated that RFP inhibits PRRSV proteins production in the early stage of infection, without inhibiting host protein synthesis. Moreover, RFP effectively restricted porcine epidemic diarrhea virus (PEDV) and porcine enteric alphacoronavirus (PEAV) infection in Vero cells. In summary, these findings indicate the promising potential of RFP as a therapeutic agent for PRRSV, PEDV and PEAV infection in pig farms.
Assessment of Lycopene Levels in Dried Watermelon Pomace: A Sustainable Approach to Waste Reduction and Nutrient Valorization
Authors: D’Eusanio Veronica
Published: July 2024

Watermelon suffers substantial post-harvest losses owing to strict quality standards, resulting in 20–30% of the crop being left unharvested. This study investigated the potential of valorizing dried watermelon pomace (DWP), a byproduct of watermelon juice extraction, focusing on its lycopene content—a potent antioxidant. This study assessed lycopene stability in DWP from four watermelon cultivars (Perla Nera®, Gavina®, Crimson Sweet, and Asahi Miyako) under different storage conditions (vial-sealed and vacuum-sealed). The lycopene content in freshly prepared DWP samples ranged from 0.734 to 1.572 mg/g db. The results indicated that vacuum-sealed samples exhibited significantly slower lycopene degradation than vial-sealed samples, highlighting the impact of air exposure on lycopene stability. After 90 days of storage, lycopene content in vacuum-sealed samples ranged from 0.214 to 1.234 mg/g db, while that in vial-sealed samples ranged from 0.013 to 0.731 mg/g db. Furthermore, this study assessed the effect of pretreatments with ascorbic acid (pretreatment A) and a mixture of ascorbic and citric acids (pretreatment B) on lycopene stability. Pretreatment B showed superior effectiveness, yielding higher lycopene levels than pretreatment A (p < 0.05). The stabilizing effects of ascorbic acid and citric acid were attributed to their antioxidant properties and their roles as pH regulators and chelators.
Application of Generalized S-Transform in the Measurement of Dynamic Elastic Modulus
Authors: Wang Lei , Gao Yang , Liu Hongguang , Fu Guoping , Lu Dunqiang
Published: July 2024

Resonance is commonly used for in situ measurement of the dynamic elastic modulus to evaluate the strength of concrete samples. Many researchers are also exploring the application of this convenient measurement technology for safety monitoring. Nevertheless, the presence of cracks and variations in curing conditions within samples can impact the resonance frequency range, potentially leading to potential inaccuracies in measurements. In order to improve the measurement accuracy of resonance frequency, this study introduces the Generalized S-Transform (GST) algorithm for measuring the dynamic elastic modulus, which utilizes its high time-frequency resolution to scan the power peak-point in non-stationary and transient excitation signals to determine the resonance frequency. For concrete materials with lower consistency, the experimental results verify the high accuracy of this algorithm in measuring resonance frequency compared with Fast Fourier Transform (FFT). This provides a reference for using the algorithm to measure the dynamic elastic modulus in civil engineering applications, such as buildings and bridges.
Predictive Modeling and Analysis of Cu–Be Alloys: Insights into Material Properties and Performance
Authors: Kolev Mihail
Published: July 2024

Cu–Be alloys are renowned for their exceptional mechanical and electrical properties, making them highly sought after for various industrial applications. This study presents a comprehensive approach to predicting the compositions of various types of Cu–Be alloys, integrating a Random Forest Regressor within a machine learning (ML) framework to analyze an extensive dataset of chemical and thermo-mechanical parameters. The research process incorporated data preprocessing, model training and validation, and robust analysis to discern feature significance. Cluster analysis was also conducted to illuminate the data’s intrinsic groupings and to identify underlying metallurgical patterns. The model’s predictive power was confirmed by high R2 values, indicative of its capability to capture and explain the variance in the dataset for both testing (R2 = 0.99375) and training (R2 = 0.99858). Distinct groupings within the alloy data were uncovered, revealing significant correlations between composition, processing conditions, and alloy properties. The findings underscore the potential of ML techniques in advancing the material design and optimization of Cu–Be alloys, providing valuable insights for the field of material science.
Unraveling the Immune Microenvironment in Diffuse Large B-Cell Lymphoma: Prognostic and Potential Therapeutic Implications
Authors: Koumpis Epameinondas , Papoudou-Bai Alexandra , Papathanasiou Konstantina , Kolettas Evangelos , Kanavaros Panagiotis , Hatzimichael Eleftheria
Published: July 2024

Diffuse large B cell lymphoma (DLBCL) is a multifaceted condition characterized by significant diversity in its molecular and pathological subtypes and clinical manifestation. Despite the progress made in the treatment of DLBCL through the development of novel drugs, an estimated one-third of patients encounter relapse or acquire refractory disease. The tumor microenvironment (TME) of DLBCL, a complex network consisting of cellular and noncellular components that engage in interactions with the tumor, is a parameter that is gaining increasing attention. The TME comprises both the immune and nonimmune microenvironments. The immune microenvironment comprises natural killer (NK) cells, dendritic cells (DCs), tumor-associated macrophages (TAMs), neutrophils, myeloid-derived suppressor cells (MDSCs), and T and B lymphocytes. The nonimmune microenvironment consists of the extracellular matrix (ECM), cancer-associated fibroblasts (CAFs), mesenchymal stromal cells, and other molecules that are secreted. Despite ongoing research, the exact impact of these components and their interaction on the progression of the disease remains elusive. A comprehensive review of significant discoveries concerning the cellular and noncellular constituents, molecular characteristics, and treatment response and prognosis of the TME in DLBCL, as well as the potential targeting of the TME with novel therapeutic approaches, is provided in this article.
MicroRNAs as Regulators of Radiation-Induced Oxidative Stress
Authors: Kura Branislav , Pavelkova Patricia , Kalocayova Barbora , Pobijakova Margita , Slezak Jan
Published: July 2024

microRNAs (miRNAs) represent small RNA molecules involved in the regulation of gene expression. They are implicated in the regulation of diverse cellular processes ranging from cellular homeostasis to stress responses. Unintended irradiation of the cells and tissues, e.g., during medical uses, induces various pathological conditions, including oxidative stress. miRNAs may regulate the expression of transcription factors (e.g., nuclear factor erythroid 2 related factor 2 (Nrf2), nuclear factor kappa B (NF-κB), tumor suppressor protein p53) and other redox-sensitive genes (e.g., mitogen-activated protein kinase (MAPKs), sirtuins (SIRTs)), which trigger and modulate cellular redox signaling. During irradiation, miRNAs mainly act with reactive oxygen species (ROS) to regulate the cell fate. Depending on the pathway involved and the extent of oxidative stress, this may lead to cell survival or cell death. In the context of radiation-induced oxidative stress, miRNA-21 and miRNA-34a are among the best-studied miRNAs. miRNA-21 has been shown to directly target superoxide dismutase (SOD), or NF-κB, whereas miRNA-34a is a direct regulator of NADPH oxidase (NOX), SIRT1, or p53. Understanding the mechanisms underlying radiation-induced injury including the involvement of redox-responsive miRNAs may help to develop novel approaches for modulating the cellular response to radiation exposure.
Preliminary Study on the Restoration of the Phospholipid Profile in Serum from Patients with COVID-19 by Treatment with Vitamin E
Authors: Soto María Elena , Manzano-Pech Linaloe , Guarner-Lans Verónica , Palacios-Chavarría Adrían , Valdez-Vázquez Rafael Ricardo , Martínez-Memije Raúl , El-Hafidi Mohammed , Rodríguez-Fierros Félix Leao , Pérez-Torres Israel
Published: July 2024

SARS-CoV-2 is an obligatory intracellular pathogen that requires a lipid bilayer membrane for its transport to build its nucleocapsid envelope and fuse with the host cell. The biological membranes are constituted by phospholipids (PLs), and vitamin E (Vit E) protects them from oxidative stress (OS). The aim of this study was to demonstrate if treatment with Vit E restores the modified profile of the FA in PLs in serum from patients with coronavirus disease-19 (COVID-19). We evaluated Vit E, total fatty acids (TFAs), fatty acids of the phospholipids (FAPLs), total phospholipids (TPLs), 8-isoprostane, thromboxane B2 (TXB2), prostaglandins (PGE2 and 6-keto-PGF1α), interleukin-6 (IL-6), and C-reactive protein (CRP) in serum from 22 COVID-19 patients before and after treatment with Vit E and compared the values with those from 23 healthy subjects (HSs). COVID-19 patients showed a decrease in Vit E, TPLs, FAPLs, and TFAs in serum in comparison to HSs (p ≤ 0.01), and Vit E treatment restored their levels (p ≤ 0.04). Likewise, there was an increase in IL-6 and CRP in COVID-19 patients in comparison with HSs (p ≤ 0.001), and treatment with Vit E decreased their levels (p ≤ 0.001). Treatment with Vit E as monotherapy can contribute to restoring the modified FA profile of the PLs in the SARS-CoV-2 infection, and this leads to a decrease in lipid peroxidation, OS, and the inflammatory process.
The Latest Look at PDT and Immune Checkpoints
Authors: Aebisher David , Przygórzewska Agnieszka , Bartusik-Aebisher Dorota
Published: July 2024

Photodynamic therapy (PDT) can not only directly eliminate cancer cells, but can also stimulate antitumor immune responses. It also affects the expression of immune checkpoints. The purpose of this review is to collect, analyze, and summarize recent news about PDT and immune checkpoints, along with their inhibitors, and to identify future research directions that may enhance the effectiveness of this approach. A search for research articles published between January 2023 and March 2024 was conducted in PubMed/MEDLINE. Eligibility criteria were as follows: (1) papers describing PDT and immune checkpoints, (2) only original research papers, (3) only papers describing new reports in the field of PDT and immune checkpoints, and (4) both in vitro and in vivo papers. Exclusion criteria included (1) papers written in a language other than Polish or English, (2) review papers, and (3) papers published before January 2023. 24 papers describing new data on PDT and immune checkpoints have been published since January 2023. These included information on the effects of PDT on immune checkpoints, and attempts to associate PDT with ICI and with other molecules to modulate immune checkpoints, improve the immunosuppressive environment of the tumor, and resolve PDT-related problems. They also focused on the development of new nanoparticles that can improve the delivery of photosensitizers and drugs selectively to the tumor. The effect of PDT on the level of immune checkpoints and the associated activity of the immune system has not been fully elucidated further, and reports in this area are divergent, indicating the complexity of the interaction between PDT and the immune system. PDT-based strategies have been shown to have a beneficial effect on the delivery of ICI to the tumor. The utility of PDT in enhancing the induction of the antitumor response by participating in the triggering of immunogenic cell death, the exposure of tumor antigens, and the release of various alarm signals that together promote the activation of dendritic cells and other components of the immune system has also been demonstrated, with the result that PDT can enhance the antitumor immune response induced by ICI therapy. PDT also enables multifaceted regulation of the tumor’s immunosuppressive environment, as a result of which ICI therapy has the potential to achieve better antitumor efficacy. The current review has presented evidence of PDT’s ability to modulate the level of immune checkpoints and the effectiveness of the association of PDT with ICIs and other molecules in inducing an effective immune response against cancer cells. However, these studies are at an early stage and many more observations need to be made to confirm their efficacy. The new research directions indicated may contribute to the development of further strategies.
Lonicera japonica Thunb. Ethanol Extract Exerts a Protective Effect on Normal Human Gastric Epithelial Cells by Modulating the Activity of Tumor-Necrosis-Factor-α-Induced Inflammatory Cyclooxygenase 2/Prostaglandin E2 and Matrix Metalloproteinase 9
Authors: Hsieh Hsi-Lung , Yu Ming-Chin , Chang Yu-Chia , Wu Yi-Hsuan , Huang Kuo-Hsiung , Tsai Ming-Ming
Published: July 2024

Gastric inflammation-related disorders are commonly observed digestive system illnesses characterized by the activation of proinflammatory cytokines, particularly tumor necrosis factor-α (TNF-α). This results in the induction of cyclooxygenase-2 (COX-2)/prostaglandin E2 (PEG2) and matrix metallopeptidase-9 (MMP-9). These factors contribute to the pathogenesis of gastric inflammation disorders. We examined the preventive effects of Lonicera japonica Thunb. ethanol extract (Lj-EtOH) on gastric inflammation induced by TNF-α in normal human gastric mucosa epithelial cells (GES-1). The GES-1 cell line was used to establish a model that simulated the overexpression of COX-2/PGE2 and MMP-9 proteins induced by TNF-α to examine the anti-inflammatory properties of Lj extracts. The results indicated that Lj-EtOH exhibits significant inhibitory effects on COX-2/PEG2 and MMP-9 activity, attenuates cell migration, and provides protection against TNF-α-induced gastric inflammation. The protective effects of Lj-EtOH are associated with the modulation of COX-2/PEG2 and MMP-9 through the activation of TNFR–ERK 1/2 signaling pathways as well as the involvement of c-Fos and nuclear factor kappa B (NF-κB) signaling pathways. Based on our findings, Lj-EtOH exhibits a preventive effect on human gastric epithelial cells. Consequently, it may represent a novel treatment for the management of gastric inflammation.
A Visual Navigation Algorithm for UAV Based on Visual-Geography Optimization
Authors: Xu Weibo , Yang Dongfang , Liu Jieyu , Li Yongfei , Zhou Maoan
Published: July 2024

The estimation of Unmanned Aerial Vehicle (UAV) poses using visual information is essential in Global Navigation Satellite System (GNSS)-denied environments. In this paper, we propose a UAV visual navigation algorithm based on visual-geography Bundle Adjustment (BA) to address the challenge of missing geolocation information in monocular visual navigation. This algorithm presents an effective approach to UAV navigation and positioning. Initially, Visual Odometry (VO) was employed for tracking the UAV’s motion and extracting keyframes. Subsequently, a geolocation method based on heterogeneous image matching was utilized to calculate the geographic pose of the UAV. Additionally, we introduce a tightly coupled information fusion method based on visual-geography optimization, which provides a geographic initializer and enables real-time estimation of the UAV’s geographical pose. Finally, the algorithm dynamically adjusts the weight of geographic information to improve optimization accuracy. The proposed method is extensively evaluated in both simulated and real-world environments, and the results demonstrate that our proposed approach can accurately and in real-time estimate the geographic pose of the UAV in a GNSS-denied environment. Specifically, our proposed approach achieves a root-mean-square error (RMSE) and mean positioning accuracy of less than 13 m.