bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical outcomes and impact of prognostic factors in resectable oral cavity squamous cell carcinoma
Authors: Abu Taha Shatha , Abu Hejleh Taher , Wahbeh Lina , Alzibdeh Abdulla , Berawi Mohammad , Qambar Mohamed , Mukahal Mohammad , Abuhijla Fawzi , Abu-Hijlih Ramiz , Taqash Ayat , Hussein Tariq , Alrousan Medyan , Saraireh Omar Al , Al-Gargaz Wisam , Al-Ibraheem Akram , Ghatasheh Hamza , Hosni Ali , Mohamad Issa
Published: October 2024

Purpose

To evaluate clinical outcomes and prognostic factors in non-metastatic oral cavity squamous cell carcinoma (OCSCC) patients who underwent surgery with or without adjuvant therapy.

Methods

From 2007 and 2018, 116 patients were analyzed. The primary endpoint was overall survival (OS), and secondary endpoints were disease-free survival (DFS), local failure (LF), regional failure (RF), and distant metastases (DM). Kaplan-Meier method and log-rank test assessed survival outcomes, while Cox proportional hazard tests analyzed prognostic factors.

Results

Median patient age was 53 years, most were smokers (93.5%) and males (62.9%). Predominant subsite was the oral tongue (58.6%). Treatment included surgery alone (16.4%), adjuvant radiotherapy (46.6%), or adjuvant concurrent chemoradiotherapy (CCRT) (37%). The median follow-up time was 45.9 months. There were significant differences between groups in terms of gender (P=0.028) and RT dose (P=0.01). The 3-year OS, DFS, LF, RF and DM for the entire cohort were 60.9%, 55.1%, 20.11%, 8.43%, and 17.13%, respectively. Surgery alone yielded higher 3-year OS (81.4%) than adjuvant RT (70%) or adjuvant CCRT (41.4%), (p=0.012). Adjuvant CCRT correlated with higher LF compared to adjuvant RT and surgery alone groups (p=0.029). Lymphovascular invasion (LVI) impacted OS (HR=2.034, p=0.0498) and DM (HR=3.380, p=0.0132), while higher tumor grade increased DM likelihood (HR=8.477, p=0.0379).

Conclusions

This study reports OCSCC patient outcomes in Jordan across different treatment modalities. Adjuvant CCRT correlated with higher LF rates, and LVI impacted OS and DM, aligning with existing OCSCC treatment literature.
Incidental findings of borderline ovarian tumor or ovarian cancer – real-world data on surgical and oncological outcomes
Authors: Joder Carmen , Smaadahl-Wey Celine , Zumwald Lara , Saner Flurina , Rauh Claudia , Hofer Seline , Wampfler Julian , Schlootz Saskia , Rau Tilman , Christe Lucine , Solass Wiebke , Imboden Sara , Mueller Michael David , Siegenthaler Franziska
Published: October 2024

Introduction

Centralization of ovarian cancer treatment is associated with higher rates of optimal surgery and longer survival. However, preoperative diagnosis of ovarian cancer is challenging and some diagnoses are made incidentally after surgery. This study investigated the surgical and oncological outcomes of patients with incidental findings of borderline ovarian tumors or ovarian cancer who were centralized postoperatively and treated with a two-stage surgical procedure, and compared these with those of patients with adnexal masses of suspected malignancy who were offered a single-stage surgical procedure with intraoperative frozen section in a tertiary hospital.

Methods

A database of 390 patients with adnexal masses and surgical treatment at the Bern University Hospital, Switzerland was retrospectively reviewed to identify patients with borderline ovarian tumors or ovarian cancer between 2010 and 2020.

Results

Among 390 patients with adnexal masses, 223 were diagnosed with a borderline ovarian tumor or ovarian cancer. Compared with patients with suspected malignancy and a centralized single-stage surgical procedure, patients with an incidental postoperative malignancy diagnosis and a two-stage surgical procedure underwent more surgical interventions (1.3 vs. 2.1 p<.001) and had a longer time interval from diagnosis to initiation of chemotherapy (33.3 vs. 45.1 p=.005) and to completion of surgical cytoreduction (31.9 vs. 73.7 days, p<.001). However, there were no differences in the rates of complete cytoreduction (90.0% vs. 93.2%, p=.719), intraoperative (11.3% vs. 13.7%, p=.664) or postoperative (38.7% vs. 37.0%, p=.884) complication rates, and number of hospitalization days (11.1 vs. 12.0 days, p=.369). An incidental diagnosis of malignancy with postoperative referral was neither associated with an increased risk of recurrence (hazard ratio (HR) 0.8, 95% confidence interval (CI) 0.6-1.8, p=.839) nor death (HR 0.7, 95% CI 0.4-1.1, p=.113), and there was no difference in mean recurrence-free survival between the study subgroups.

Discussion

Although patients with incidental findings of borderline ovarian tumors or ovarian cancer treated with a two-stage surgical procedure had a longer time to completion of surgical staging and initiation of chemotherapy, our results showed no negative impact on oncological outcomes.
Lung cancer cell-derived exosomes: progress on pivotal role and its application in diagnostic and therapeutic potential
Authors: Abdul Manap Aimi Syamima , Ngwenya Faith Malambo , Kalai Selvan Meilarshny , Arni Syarafina , Hassan Fathimath Hishma , Mohd Rudy Ammar Danish , Abdul Razak Nurul Nadiah
Published: October 2024

Lung cancer is frequently detected in an advanced stage and has an unfavourable prognosis. Conventional therapies are ineffective for the treatment of metastatic lung cancer. While certain molecular targets have been identified as having a positive response, the absence of appropriate drug carriers prevents their effective utilization. Lung cancer cell-derived exosomes (LCCDEs) have gained attention for their involvement in the development of cancer, as well as their potential for use in diagnosing, treating, and predicting the outcome of lung cancer. This is due to their biological roles and their inherent ability to transport biomolecules from the donor cells. Lung cancer-associated cell-derived extracellular vesicles (LCCDEVs) have the ability to enhance cell proliferation and metastasis, influence angiogenesis, regulate immune responses against tumours during the development of lung cancer, control drug resistance in lung cancer treatment, and are increasingly recognised as a crucial element in liquid biopsy evaluations for the detection of lung cancer. Therapeutic exosomes, which possess inherent intercellular communication capabilities, are increasingly recognised as effective vehicles for targeted drug delivery in precision medicine for tumours. This is due to their exceptional biocompatibility, minimal immunogenicity, low toxicity, prolonged circulation in the bloodstream, biodegradability, and ability to traverse different biological barriers. Currently, multiple studies are being conducted to create new means of diagnosing and predicting outcomes using LCCDEs, as well as to develop techniques for utilizing exosomes as effective carriers for medication delivery. This paper provides an overview of the current state of lung cancer and the wide range of applications of LCCDEs. The encouraging findings and technologies suggest that the utilization of LCCDEs holds promise for the clinical treatment of lung cancer patients.
Enhancing production efficiency through optimizing plant density in maize–soybean strip intercropping
Authors: Li Guanghao , Liang Yuwen , Liu Qiannan , Zeng Jinghan , Ren Qingming , Guo Jian , Xiong Fei , Lu Dalei
Published: October 2024

Introduction

Due to limited arable land resources, intercropping has emerged as an efficient and sustainable production method for increasing total grain yield per unit land area. Maize–soybean strip intercropping (MSSI) technology is being widely promoted and applied across China. However, the combination of optimal density for achieving higher production efficiency of both soybean and maize remains unclear. The objective of this study was to evaluate the differences in yield, economic benefits, land, and nitrogen (N) efficiency in MSSI systems under different densities.

Methods

Five maize/soybean density combinations (67,500/97,500 plants ha−1, D1; 67,500/120,000 plants ha−1, D2; 67,500/142,500 plants ha−1, D3; 60,000/142,500 plants ha−1, D4; 52,500/142,500 plants ha−1, D5) were set under the same N input in the field experiment.

Results and discussion

The results demonstrated that optimizing the density in the intercropping system could enhance production efficiency. Increasing the density of soybean and maize significantly increased the total grain yield (D3 > D2 > D1 > D4 > D5). The D3 treatment, exhibiting the best comprehensive performance, also promoted increases in leaf area index, dry matter accumulation, and N absorption and utilization. Path analysis indicated that density had the most substantial impact on maize yield, while grain number had the greatest influence on soybean yield, with contribution rates of 49.7% and 61.0%, respectively. These results provide valuable insights into optimal field density for summer planting in MSSI, facilitating its wider adoption.
Contributions of a time use perspective in community mental health practice: a scoping review
Authors: Fossey Ellie , Doroud Nastaran , Harvey Carol Ann , Dun Carolyn , Hitch Danielle , Farnworth Louise , Krupa Terry
Published: October 2024

Introduction

Time use is an important indicator of health and well-being. Exploration of time use can provide in-depth information about individuals’ activity patterns including routines and structure, the experience of activities, personal priorities and challenges. People experiencing severe mental illness may be at particular risk for time use patterns associated with poor health and wellbeing.

Methods

This scoping review aimed to identify and map the evidence about how a time use perspective informs assessment and intervention in community mental health practice. Electronic databases and hand-searches were used to identify relevant studies involving people with severe mental illness, and focused on time use applications in practice. Twenty-nine studies were included in this review, data-extracted and synthesized with reference to the review question.

Results

Of the twenty-nine identified studies, seven described development and psychometric testing of time use assessments; twelve used time use tools to measure outcomes; and ten described or evaluated time use intervention approaches. The identified time use assessments typically involved retrospective diaries completed before or during structured interviews, and an Experience Sampling Method using smart technology to gather activity data in real time. Both psychosocial and occupational interventions used time use to measure outcomes relevant to activity engagement, social functioning, and personal recovery. The identified time use interventions originated in occupational therapy; included structured manuals and workbooks to enable reflection on daily time use; individual or group sessions to collaborate in identifying priorities, goal planning and supporting desired changes to activity patterns. These interventions were viewed favorably overall, with improved activity engagement, quality of life, and personal recovery reported.

Discussion

Time use assessments evaluate outcomes of importance to personal recovery and community inclusion. Time use interventions address activity patterns associated with poor health and wellbeing, using collaborative and supported activity engagement approaches, and contribute to emerging evidence on interventions that support personal recovery. Furthering peer involvement in developing and delivering these interventions will bring important insights to time use practice and research, while the social forces that marginalize or constrain activity participation for people with severe mental illness also need to be addressed to advance time use and other approaches that aim to support community inclusion.
Highfield imaging of the subgenual anterior cingulate cortex in uni- and bipolar depression
Authors: Buchholz Frederik , Meffert Martin , Bazin Pierre-Louis , Trampel Robert , Turner Robert , Schönknecht Peter
Published: October 2024

Background

The subgenual Anterior Cingulate Cortex (sgACC), as a part of the Anterior Cingulate Cortex and the limbic system plays a crucial role in mood regulation. Previous structural and functional brain imaging studies of the sgACC have revealed alterations of Gray Matter (GM) volumes and Blood Oxygenation Level Dependent signals (BOLD) in patients with Major Depressive Disorder (MDD) and Bipolar Disorder (BD), suggesting potential biomarker traits for affective disorders.

Method

In this study we investigated the gray matter volume of the sgACC in 3 different patient groups: 40 MDD patients, of which 20 were medicated (MDDm) and 20 were unmedicated (MDDu), and 21 medicated BD patients, and compared them with 23 healthy volunteers. We examined GM volume alteration using high-resolution 7T Magnetic Resonance Imaging (MRI) which produced quantitative maps of the spin-lattice relaxation time (T1). T1 maps provide high contrast between gray and white matter, and at 7 Tesla voxels with submillimeter resolution can be acquired in a reasonable scan time. We developed a semi-automatic segmentation protocol based on refined landmarks derived from previous volumetric studies using quantitative T1 maps as raw input data for automatic tissue segmentation of GM, WM and CSF (cerebrospinal fluid) tissue. The sgACC ROI was then superimposed on these tissue probability maps and traced manually by two independent raters (F.B., M.M.) following our semi-automatic segmentation protocol. Interrater reliability was calculated on a subset of 10 brain scans for each hemisphere, showing an Intra-Class Correlation coefficient (ICC) r = 0.96 for left sgACC and r = 0.84 for right sgACC respectively. In summary, we have developed a reproducible and reliable semi-automatic segmentation protocol to measure gray matter volume in the sgACC. Based on previous findings from meta-analyses on morphometric studies of the sgACC, we hypothesized that patients with MDD would have lower gray matter sgACC volumes compared to healthy subjects.

Results

Post-hoc analysis revealed smaller subgenual volumes for the left hemisphere in both the medicated (MDDm) and non-medicated (MDDu) group versus healthy controls (p = .001, p = .008) respectively. For the right hemisphere, the (MDDu) and BD group exhibited significantly lower subgenual volumes than healthy controls (p < .001, p = .004) respectively.

Conclusion

To our knowledge, this is the first morphometric MRI study using T1 maps obtained in high-resolution 7 Tesla MRI to compare MDD and BD patients with healthy controls.
Linking personal initiative and family help as well as social support: a case study of learning challenges and solutions for older adults in rural China during the COVID-19 pandemic
Authors: Cheng Hao
Published: October 2024

Background

The sudden outbreak of the COVID-19 Pandemic has caused serious damage to the continuous learning of older adults around the world. While the existing literature focused more on older adults’ learning in developed countries, few studies explored older adults’ learning in developing countries with low social and cultural capital.

Methods

This study took family-school cooperation in China as the platform and explored learning challenges and solutions through unstructured interviews with 12 older adults.

Results

The study found that due to policies of working and studying from home, older adults face obstacles in accessing physical learning institutions and digital learning knowledge, skills, and psychology. I further found that the older adults were not forced to accept the challenge passively, but created a lifelong learning model with Chinese characteristics by building self-learning based on personal initiative, developing sustainable intergenerational learning rooted in Chinese family culture, and participating in online learning in schools and enterprises under the government guidance.

Conclusion

This study provided new knowledge for understanding the learning challenges and solutions of older adults in rural China. It is emphasized that policy value and practice enlightenment were highlighted and discussed in conversations with active aging, intergenerational learning, and harmonious societies.
Qualitative evaluation of factors influencing adherence to virtual exercise programs for people with physical disabilities
Authors: Mintz Madison , Ferguson Christine , Dayton Leigh Anne Bray , Wilroy Jereme , Rimmer James H.
Published: October 2024

Virtual community-based programming for people with disabilities has become a popular method for advocating for health promotion, specifically exercise, for people with disabilities (PWD). Using theoretical frameworks to better understand the perspective of PWD who participate in virtual exercise programs allows strategies of implementation following completion of virtual exercise programs. The objective of this study was to examine the effect adherence had on perceptions, experiences, and post-program exercise maintenance in participants with disabilities. Eight qualitative interviews were conducted in highly adherent participants using the Social Cognitive Theory (SCT). Interviews were recorded on Zoom, transcribed using Microsoft 365, and analyzed using NVivo software. Data were analyzed by the primary author and an independent coder to increase rigor and reduce bias. Thirty-five unique codes were generated from transcribed interviews. Member-checking was employed to increase internal validity; 100% of participants agreed with the findings. Results demonstrate an overall positive experience in the virtual exercise program, noting specific facilitators (i.e., knowledgeable instructor, program provided equipment, etc.) and barriers (i.e., limited physical space at home to exercise, other participant's attitudes, etc.) of participating. Impressionably, 100% of participants maintained exercise following their time within the virtual exercise program.
qCLUE: a quantum clustering algorithm for multi-dimensional datasets
Authors: Gopalakrishnan Dhruv , Dellantonio Luca , Di Pilato Antonio , Redjeb Wahid , Pantaleo Felice , Mosca Michele
Published: October 2024

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has become apparent that they face challenges stemming from datasets that span more spatial dimensions. In fact, the best-performing clustering algorithms scale linearly in the number of points, but quadratically with respect to the local density of points. In this work, we introduce qCLUE, a quantum clustering algorithm that scales linearly in both the number of points and their density. qCLUE is inspired by CLUE, an algorithm developed to address the challenging time and memory budgets of Event Reconstruction (ER) in future High-Energy Physics experiments. As such, qCLUE marries decades of development with the quadratic speedup provided by quantum computers. We numerically test qCLUE in several scenarios, demonstrating its effectiveness and proving it to be a promising route to handle complex data analysis tasks – especially in high-dimensional datasets with high densities of points.
Geospatial assessment of cropping pattern shifts and their impact on water demand in the Kaleshwaram lift irrigation project command area, Telangana
Authors: Panjala Pranay , Gumma Murali Krishna , Mesapam Shashi
Published: October 2024

Efficient monitoring of crop water requirements is crucial for assessing the impacts of major irrigation projects, such as the Kaleshwaram lift irrigation project, both before and after their implementation. These projects can significantly change agricultural practices and water usage patterns, necessitating thorough evaluations to ensure sustainable water management and agricultural resilience. The main aim of this study is to evaluate and compare crop water needs during the winter (rabi) seasons of 2018–2019 and 2022–2023 across the command area of the project. This is achieved by mapping major crops and their respective length of growing periods across the study area using sentinel-2 satellite data and ground data, and quantifying crop water requirements using reference evapotranspiration and FAO crop coefficients. Results reveal a significant shift towards rice cultivation, with an over 80% increase in the winter season of 2022–2023 compared to 2018–2019, indicating substantial escalations in crop water requirements. These findings provide valuable insights into agricultural transformations induced by large-scale irrigation interventions, emphasizing the need for sustainable water management practices to ensure agricultural resilience and resource conservation in similar contexts.
Rainfall-runoff modeling based on HEC-HMS model: a case study in an area with increased groundwater discharge potential
Authors: Herbei Mihai Valentin , Bădăluță-Minda Codruța , Popescu Cosmin Alin , Horablaga Adina , Dragomir Lucian Octavian , Popescu George , Kader Shuraik , Sestras Paul
Published: October 2024

The Hydrologic Modeling System (HEC-HMS), designed to accurately simulate precipitation-runoff processes in various watershed types, was employed in our study to establish a model for a particular watershed. Consequently, we planned to create a rainfall-runoff model to investigate the specific characteristics of floods, assess some pre-diction models, and issue assumptions about their viability, which could be beneficial in establishing flood warning systems. The model was developed using daily precipitation data collected from different rain gauge stations in the Gilort watershed, located in southern Romania. The study employed the HEC-GeoHMS terrain processing tool, utilizing a digital elevation design to build a hydrological model. The statistical indicators used to evaluate the runoff mechanisms, specifically regression, coefficient of determination, correlation coefficient, index of agreement (Willmott index), and the root mean squared error (RMSE), showed a strong relationship between the simulated and recorded flow of the watershed. The leaking model was assessed using other statistical parameters, including the deviation of runoff volumes (Dv = 6.40%), Nash−Sutcliffe efficiency (NSE = 0.908), and Kling-Gupta efficiency (KGE = 0.901). These parameters confirmed that the simulated data closely matched the observed data, indicating an effective association, and were considered reliable indicators of the model’s goodness of fit, ensuring its reliability and efficacy.
Training environment and sponsorship dynamics in Hungarian artistic swimming
Authors: Máté Domicián , Vveinhardt Jolita , Fekete Anna
Published: October 2024

The present study examines the training environment and sponsorship dynamics in Hungarian artistic swimming, with a particular focus on competitiveness. Through the utilization of a linear regression method ample aspects were identified, such as coach qualifications, funding sources, and facilities, that positively impact the number of qualified competitors. The availability of funding sources, when coupled with governmental assistance, has a favorable effect on the number of competitors, whereas membership fees have a deleterious impact. Furthermore, the findings indicate that increased water availability and increased publicity enhance artistic swimming recognition, whereas improved land-based training conditions may lead to a decline in the number of competitors. This paper discusses how different aspects of training programs can be integrated to improve overall athleticism, prevent injury, and enhance the competitive ability of artistic swimmers.
Hazard Analysis for Massive Civil Aviation Safety Oversight Reports Using Text Classification and Topic Modeling
Authors: Xu Yaxi , Gan Zurui , Guo Rengang , Wang Xin , Shi Ke , Ma Pengfei
Published: October 2024

There are massive amounts of civil aviation safety oversight reports collected each year in the civil aviation of China. The narrative texts of these reports are typically short texts, recording the abnormal events detected during the safety oversight process. In the construction of an intelligent civil aviation safety oversight system, the automatic classification of safety oversight texts is a key and fundamental task. However, all safety oversight reports are currently analyzed and classified into categories by manual work, which is time consuming and labor intensive. In recent years, pre-trained language models have been applied to various text mining tasks and have proven to be effective. The aim of this paper is to apply text classification to the mining of these narrative texts and to show that text classification technology can be a critical element of the aviation safety oversight report analysis. In this paper, we propose a novel method for the classification of narrative texts in safety oversight reports. Through extensive experiments, we validated the effectiveness of all the proposed components. The experimental results demonstrate that our method outperforms existing methods on the self-built civil aviation safety oversight dataset. This study undertakes a thorough examination of the precision and associated outcomes of the dataset, thereby establishing a solid basis for furnishing valuable insights to enhance data quality and optimize information.
Enhancing Nutritional Value of Rhubarb (Rheum rhaponticum L.) Products: The Role of Fruit and Vegetable Pomace
Authors: Korus Anna , Korus Jarosław
Published: October 2024

In this study, the quality and health-promoting components in rhubarb products sweetened with isomaltulose and enriched with fruit (apple, chokeberry, black currant) and vegetable (beetroot, carrot) pomace were assessed. All products with added pomace had higher levels of ash (27–65%) and macro- and microelements (5–436% and 5–333%) compared to the sample without pomace. The addition of pomace also increased the total antioxidant activity. The addition of pomace increased the value of gel strength (Fe) by 22–73% compared to the control; the highest value was found in the product enriched with chokeberry pomace (1.71 N). Red (a* > 0) and yellow (b* > 0) dominated all products, and values of the L* parameter ranged from 7.81 to 37.54. The brightest were the products with added carrot, apple, and beet pomace, while the darkest were those containing chokeberry and blackcurrant pomace. The values of the texture parameters decreased after storage, but to a lesser extent in the products with pomace; however, the products with pomace maintained greater antioxidant activity and retained beneficial components better than those without. A slight darkening of the products and a decrease in the proportion of red (a*) and yellow (b*) color was also observed.
Characterization and Evaluation of an Electrostatic Knapsack Sprayer Prototype for Agricultural Crops
Authors: Vigo-Morancho Alba , Videgain María , Boné Antonio , Vidal Mariano , García-Ramos Francisco Javier
Published: October 2024

Pesticide application development has grown exponentially in recent decades thanks to the implementation of new technologies and improved quality of spray input application. Electrostatic technology for increasing deposition has proven to be a suitable tool under specific study conditions, such as when working with very small droplet sizes, with air assistance, or typically in greenhouse environments. However, its effectiveness in hydraulic spraying, as well as its application from a commercial point of view in agriculture, is still challenging. The aim of this study was to evaluate the performance of this technology by implementing a modified lance on a small commercial knapsack sprayer, equipped with a hydraulic nozzle providing a range of droplet size values (Dv50) from 136 μm to 386 μm in the pressure range between 2 and 6 bar. This setup allowed operation under normal conditions (disconnected electrostatic system: NES) or with the connected electrostatic system (ES), with both configurations being tested in this study. Liquid distribution profiling as well as qualitative and quantitative evaluation of deposition were carried out both under laboratory conditions and in tomato crops under greenhouse conditions. The results showed no differences between the ES and NES in terms of flow rate (L min−1) characterization or in the total accumulated volume collected with the vertical bench. The impact of the electrostatic system connection was clearly observed in laboratory trials, with total deposition increases of up to 66%. In field trials, this effect decreased in unexposed areas and in denser sections of the crop. However, the overall increase in deposition, mainly associated with the exposed side, continued to be significant.
Effects of Alanyl-Glutamine Dipeptide Supplementation on Growth Performance, Nutrient Digestibility, Digestive Enzyme Activity, Immunity, and Antioxidant Status in Growing Laying Hens
Authors: Nazir Usman , Fu Zhenming , Zheng Xucheng , Zafar Muhammad Hammad , Chen Yuanjing , Yang Zhi , Wang Zhiyue , Yang Haiming
Published: October 2024

Alanyl-glutamine (Aln-Gln), a highly soluble and stable Glutamine-dipeptide, is known to improve the performance of poultry birds. This study aimed to investigate the effect of Aln-Gln during the rearing period on growth performance, nutrient digestibility, digestive enzyme activity, immunity, antioxidant status and relative gene expression of Hy-Line brown hens. A total of 480 healthy day-old Hy-line brown chicks with similar body weights were randomly divided into four dietary groups (8 replicates/group and 15 birds/replicate). Groups A, B, C and D were fed diets containing 0%, 0.1%, 0.2% and 0.3% Aln-Gln, respectively, for 6 weeks. The body weight (BW) and average daily gain (ADG) were higher in hens fed test diets compared with the control (p < 0.05). The feed conversion ratio (FCR) was better in test groups as compared to the control group (p < 0.05). The ADFI showed no significant difference between the groups. Dietary treatments had no effect on dry matter (DM), organic matter (OM) and crude fiber (CF) digestibility. The Aln-Gln also improved gross energy (GE) and crude protein (CP) digestibility (p < 0.05). It has also increased IgG levels in groups C and D. IgM levels were similar to the control in B, C and D. The Aln-Gln increased IL-1 in B and C, IL-2 in C and D, and IL-6 in all test groups (p < 0.05). The supplementation of Aln-Gln had no effect on serum antioxidant indices like CAT, MDA, GSH-PX, GSH, and SOD in 42-day-old growing hens. Aln-Gln supplementation had no significant effect (p > 0.05) on the activity of amylase and lipase, however, a significant improvement (p < 0.05) in the activities of trypsin and chymotrypsin was observed in the test groups. Supplemented Aln-Gln levels in the birds’ diets led to an increase in the expression of genes related to growth factors (IGF-1, IGFBP-5), immune markers (IL-1, IL-2, IL-6) and antioxidant status (GSH-Px1), as compared to control group. Aln-Gln supplementation in Hy-Line brown hens during their growing period improved growth, nutrient digestibility, immunity and digestive enzymes activity. These findings suggest that Aln-Gln is a promising dietary additive for enhancing poultry performance.
Comparative Properties of Helical and Linear Amphipathicity of Peptides Composed of Arginine, Tryptophan, and Valine
Authors: Klousnitzer Jessie , Xiang Wenyu , Polynice Vania M. , Deslouches Berthony
Published: October 2024

Background: The persistence of antibiotic resistance has incited a strong interest in the discovery of agents with novel antimicrobial mechanisms. The direct killing of multidrug-resistant bacteria by cationic antimicrobial peptides (AMPs) underscores their importance in the fight against infections associated with antibiotic resistance. Despite a vast body of AMP literature demonstrating a plurality in structural classes, AMP engineering has been largely skewed toward peptides with idealized amphipathic helices (H-amphipathic). In contrast to helical amphipathicity, we designed a series of peptides that display the amphipathic motifs in the primary structure. We previously developed a rational framework for designing AMP libraries of H-amphipathic peptides consisting of Arg, Trp, and Val (H-RWV, with a confirmed helicity up to 88% in the presence of membrane lipids) tested against the most common MDR organisms. Methods: In this study, we re-engineered one of the series of the H-RWV peptides (8, 10, 12, 14, and 16 residues in length) to display the amphipathicity in the primary structure by side-by-side (linear) alignment of the cationic and hydrophobic residues into the 2 separate linear amphipathic (L-amphipathic) motifs. We compared the 2 series of peptides for antibacterial activity, red blood cell (RBC) lysis, killing and membrane-perturbation properties. Results: The L-RWV peptides achieved the highest antibacterial activity at a minimum length of 12 residues (L-RWV12, minimum optimal length or MOL) with the lowest mean MIC of 3–4 µM, whereas the MOL for the H-RWV series was reached at 16 residues (H-RWV16). Overall, H-RWV16 displayed the lowest mean MIC at 2 µM but higher levels of RBC lysis (25–30%), while the L-RWV series displayed minor RBC lytic effects at the test concentrations. Interestingly, when the S. aureus strain SA719 was chosen because of its susceptibility to most of the peptides, none of the L-RWV peptides demonstrated a high level of membrane perturbation determined by propidium iodide incorporation measured by flow cytometry, with <50% PI incorporation for the L-RWV peptides. By contrast, most H-RWV peptides displayed almost up to 100% PI incorporation. The results suggest that membrane perturbation is not the primary killing mechanism of the L-amphipathic RWV peptides, in contrast to the H-RWV peptides. Conclusions: Taken together, the data indicate that both types of amphipathicity may provide different ideal pharmacological properties that deserve further investigation.
Optimization of Screening Media to Improve Antimicrobial Biodiscovery from Soils in Undergraduate/Citizen Science Research-Engaged Initiatives
Authors: McPhillips Leah , O’Callaghan John , Shortiss Carmel , Jackson Stephen A. , O’Leary Niall D.
Published: October 2024

Background/Objectives: Research-engaged academic institutions offer the opportunity to couple undergraduate education/citizen science projects with antimicrobial biodiscovery research. Several initiatives reflecting this ethos have been reported internationally (e.g., Small World, Tiny Earth, MicroMundo, Antibiotics Unearthed). These programs target soil habitats due to their high microbial diversity and promote initial screening with non-selective, nutrient media such as tryptic soy agar (TSA). However, evaluation of published outputs to date indicates that isolate recovery on TSA is consistently dominated by the genera Bacillus, Pseudomonas, and Paenibacillus. In this study, we evaluated the potential of soil extract agar to enhance soil isolate diversity and antibiosis induction outcomes in our undergraduate Antibiotics Unearthed research program. Methods: We comparatively screened 229 isolates from woodland and garden soil samples on both tryptic soy agar (TSA) and soil extract agar (SEA) for antimicrobial activity against a panel of clinically relevant microbial pathogens. Results: On one or both media, 15 isolates were found to produce zones of clearing against respective pathogens. 16S rRNA gene sequencing linked the isolates with three genera: Streptomyces (7), Paenibacillus (6), and Pseudomonas (2). Six of the Streptomyces isolates and one Pseudomonas demonstrated antimicrobial activity when screened on SEA, with no activity on TSA. Furthermore, incorporation of the known secondary metabolite inducer N acetyl-glucosamine (20 mM) into SEA media altered the pathogen inhibition profiles of 14 isolates and resulted in broad-spectrum activity of one Streptomyces isolate, not observed on SEA alone. In conclusion, SEA was found to expand the diversity of culturable isolates from soil and specifically enhanced the recovery of members of the genus Streptomyces. SEA was also found to be a superior media for antibiosis induction among Streptomyces isolates when compared to TSA. It was noted that Paenibacillus isolates’ antibiosis induction demonstrated a strain-specific response with respect to the growth media used. Conclusions: The authors propose SEA inclusion of in soil screening protocols as a cost-effective, complementary strategy to greatly enhance outcomes in undergraduate/citizen science-engaged antimicrobial biodiscovery initiatives.
Phenotypic and Genotypic Characterization of Escherichia coli and Salmonella spp. Isolates from Pigs at Slaughterhouse and from Commercial Pork Meat in Portugal
Authors: Gonçalves Carlota , Silveira Leonor , Rodrigues João , Furtado Rosália , Ramos Sónia , Nunes Alexandra , Pista Ângela
Published: October 2024

Background: Foodborne diseases are a serious public health concern, and food-producing animals are a major source of contamination. Methods: The present study analysed Escherichia coli and Salmonella spp. isolated from faecal samples of 100 fattening pigs and from 52 samples of pork meat. Results: The results showed that the majority of the analysed meat samples were considered satisfactory in terms of microbiological quality (92.3% for E. coli and 94.2% for Salmonella spp.). Salmonella spp. was identified in 5.8% of the meat samples, whereas E. coli was detected in 89.5% of all samples (69.2% in meat and 100% in faecal samples). Furthermore, 1.9% of the faecal samples contained Shiga-toxin-producing E. coli and 3.9% contained enterotoxigenic E. coli. All sequenced isolates presented virulence genes for extraintestinal pathogenic E. coli. Moreover, 75.0% of E. coli isolates from meat and 71.8% from faeces samples showed antibiotic resistance, with 40.7% and 51.4%, respectively, being multidrug-resistant (MDR). The most prevalent resistances were to tetracycline, ampicillin, and sulfamethoxazole, and one E. coli isolate showed resistance to extended-spectrum β-lactamase. Conclusions: This study highlights the role of pigs as a potential source of human contamination and the importance of a One Health approach to ensure food safety and to promote public health.
Serotype Distribution and Antimicrobial Resistance of Salmonella Isolates from Poultry Sources in China
Authors: Wang Chu , Wang Xianwen , Hao Juyuan , Kong He , Zhao Liyuan , Li Mingzhen , Zou Ming , Liu Gang
Published: October 2024

Background: Salmonella is an important zoonotic pathogen, of which poultry products are important reservoirs. This study analyzed the prevalence, antimicrobial resistance, and characterization of Salmonella from broiler and laying hen sources in China. Methods: A total of 138 (12.27%) strains of Salmonella were isolated from 1125 samples from broiler slaughterhouses (20.66%, 44/213), broiler farms (18.21%, 55/302), and laying hen farms (6.39%, 39/610). Multiplex PCR was used to identify the serotypes. Antibiotic susceptibility testing to a set of 21 antibiotics was performed and all strains were screened by PCR for 24 selected antimicrobial resistance genes (ARGs). In addition, 24 strains of Salmonella were screened out by whole-genome sequencing together with 65 released Salmonella genomes to evaluate phylogenetic characteristics, multilocus sequence typing (MLST), and plasmid carriage percentages. Results: A total of 11 different serotypes were identified, with the dominance of S. Enteritidis (43/138, 31.16%), S. Newport (30/138, 21.74%), and S. Indiana (19/138, 13.77%). The results showed that S. Enteritidis (34.34%, 34/99) and S. Newport (51.28%, 20/39) were the dominant serotypes of isolates from broilers and laying hens, respectively. The 138 isolates showed the highest resistance to sulfisoxazole (SXZ, 100%), nalidixic acid (NAL, 54.35%), tetracycline (TET, 47.83%), streptomycin (STR, 39.86%), ampicillin (AMP, 39.13%), and chloramphenicol (CHL, 30.43%), while all the strains were sensitive to both tigacycline (TIG) and colistin (COL). A total of 45.65% (63/138) of the isolates were multidrug-resistant (MDR) strains, and most of them (61/63, 96.83%) were from broiler sources. The results of PCR assays revealed that 63.77% of the isolates were carrying the quinolone resistance gene qnrD, followed by gyrB (58.70%) and the trimethoprim resistance gene dfrA12 (52.17%). Moreover, a total of thirty-four ARGs, eighty-nine virulence genes, and eight plasmid replicons were detected in the twenty-four screened Salmonella strains, among which S. Indiana was detected to carry the most ARGs and the fewest plasmid replicons and virulence genes compared to the other serotypes. Conclusions: This study revealed a high percentage of multidrug-resistant Salmonella from poultry sources, stressing the importance of continuous monitoring of Salmonella serotypes and antimicrobial resistance in the poultry chain, and emergency strategies should be implemented to address this problem.
Impact of Predation by Ciliate Tetrahymena borealis on Conjugation in Aeromonas salmonicida subsp. salmonicida
Authors: Durocher Alicia F. , Paquet Valérie E. , St-Laurent Rébecca E. , Duchaine Caroline , Charette Steve J.
Published: October 2024

Background/Objectives: Antibiotic resistance gene (ARG) spread is driven by horizontal gene transfer (HGT). Ciliated protozoa may contribute to this process, as their predation has been shown to facilitate HGT in certain bacteria. Here, this phenomenon was further investigated using A. salmonicida subsp. salmonicida. This fish pathogen bears an extensive and dynamic plasmidome, suggesting a high potential for HGT. Methods: A. salmonicida strains carrying one of three conjugative plasmids bearing ARGs (pSN254b, pRAS1b or pAsa4b) were cocultured with a recipient, either A. salmonicida, E. coli or A. hydrophila. Conjugation rates were assessed in the presence and absence of the ciliate Tetrahymena borealis. PCR genotyping confirmed the acquisition of the conjugative plasmids and was used to verify the mobilization of other plasmids. Results: The basal rate of conjugation observed was high. Under the conditions studied, ciliate predation did not appear to influence the conjugation rate, except at higher proportions of ciliates, which typically hampered conjugation. Microscopy revealed that most bacteria were digested in these conditions. PCR screening demonstrated that small mobilizable plasmids from A. salmonicida (pAsa1, pAsa2, pAsa3, and pAsal1) were acquired by the recipients along with the conjugative plasmids, with a slight effect of the ciliates in some donor/recipient cell combination. Conclusions: These results highlight how A. salmonicida can conjugate efficiently with different species and how complex its relationship with ciliates is.
Effectiveness of Laser-Assisted Teeth Bleaching: A Systematic Review
Authors: Kiryk Jan , Kiryk Sylwia , Kensy Julia , Świenc Witold , Palka Barbara , Zimoląg-Dydak Małgorzata , Dobrzyński Wojciech , Matys Jacek , Dobrzyński Maciej
Published: October 2024

Objective: Esthetic dentistry is an important factor in increasing patients’ quality of life. This study aimed to investigate the impact of laser use on bleaching procedures for natural teeth and dental restorative materials. Methods: In January 2024, an electronic search was conducted using PubMed, Web of Science (WoS), and Scopus databases with the keywords (tooth) AND (laser) AND (bleaching), following PRISMA guidelines and the PICO framework. The initial search yielded 852 articles, of which 441 were screened. After applying inclusion criteria, 376 articles were excluded as they did not focus on the use of lasers in bleaching natural teeth and restorative materials. Consequently, 40 articles were included in the final review. Results: Of the 40 qualified publications, 29 utilized a diode laser, of which 10 authors concluded that it increases the whitening effect comparing classical methods. Three of included publications investigated the whitening of dental materials, while another three focused on endodontically treated teeth. Whitening procedures on ceramics effectively removed discoloration, but the resulting color did not significantly differ from the initial shade. Conversely, composite materials not only failed to bleach but also exhibited altered physical properties, thereby increasing their susceptibility to further discoloration. The KTP laser demonstrated promising outcomes on specific stains. The Er,Cr:YSGG and Er:YAG lasers also showed beneficial effects, although there were variations in their efficacy and required activation times. Conclusions: The findings partially indicate that laser-assisted bleaching improves the whitening of natural teeth. Further research on the effect of laser bleaching on the physical parameters of restorative materials is necessary.
Application of Different Image Processing Methods for Measuring Rock Fracture Structures under Various Confining Stresses
Authors: Song Chenlu , Li Tao , Li He , Huang Xiao
Published: October 2024

Fractures within granite may become channels for fluid flow and have a significant impact on the safety of waste storage. However, internal aperture variation under coupled conditions are usually difficult to grasp, and the inevitable differences between the measured data and the real fracture structure will lead to erroneous permeability predictions. In this study, two different CT (Computed Tomography) image processing methods are adopted to grasp internal fractures. Several CT images are extracted from different positions of a rock sample under different confining stresses. Two critical factors, i.e., aperture and the contact area ratio value within a single granite fracture sample, are investigated. Results show that aperture difference occurs under these two image processing methods. The contact area ratio value under two image processing methods has less than 1% difference without confining stress. However, there is larger than ten times difference when the confining stress increases to 3.0 MPa. Moreover, the edge detection method has the capability to obtain a relatively accurate internal fracture structure when confining pressure is applied to the rock sample. The analysis results provide a better approach to understanding practical rock fracture variations under various conditions.
Robotic Button Mushroom Harvesting Systems: A Review of Design, Mechanism, and Future Directions
Authors: Koirala Bikram , Zakeri Abdollah , Kang Jiming , Kafle Abishek , Balan Venkatesh , Merchant Fatima A. , Benhaddou Driss , Zhu Weihang
Published: October 2024

The global demand for button mushrooms has surged in recent years, driven by their health benefits, creating a significant challenge for the mushroom industry in meeting this increasing demand. The increasing reliance on human labor, which is becoming unsustainable due to labor shortages and rising wage costs, highlights the urgent need for automated harvesting solutions. This review examines the integration of automated systems in button mushroom harvesting, delving into the key components such as robots, mechanisms, machine elements, programming, and algorithms. It offers a thorough analysis of the performance, design, operational mechanisms, and advantages and limitations of robotic systems, comparing the different methods employed in automated harvesting. This paper compares the performance of all the mushroom harvesters, including the commercially available ones with manual harvesting, and identifies their potential and limitations. The commercial harvesters are shown to pick 2000 mushrooms per hour on average, which is similar to how much a skilled worker picks at the same time. However, commercial automation harvesting has a relatively low success rate, high initial cost, high operating cost, and energy consumption, identifying areas for future research and challenges. This paper serves as a valuable resource for researchers and industry professionals striving to advance automated harvesting technology and improve its efficiency in meeting the rising demand for button mushrooms.