bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the quality of malaria surveillance and laboratory services for diagnosis in three districts of Gujarat state, India
Authors: Kaur Jaspreet , Baharia Rajendra , Dattani Mamta
Published: November 2024

Objectives

Surveillance is the backbone for the control of malaria and its elimination. In the state of Gujarat, situated in the western region of India, some of the districts reported a high annual blood examination rate (ABER) for malaria. Therefore, a study was conducted to identify the underlying reasons for the increase in the ABER for malaria.

Methods

Planned investigations were carried out in three of the state districts, scrutinizing records of malaria forms and other epidemiological data collected during health worker surveillance, assessment of laboratory services, and rapid fever surveys.

Results

The rate of fever ranged from 8 to 57% in the primary health centers that were surveyed. Analysis of epidemiological data revealed that malaria parasite positivity was more from passive than active surveillance. Increased ABER was accounted for by multiple factors, including blood slides collected during the mass survey and contact smears, which were included in the ABER and not mentioned separately. Blood slides prepared for the migrant population were included in the ABER, but the migrant population was not counted while calculating the ABER.

Conclusion

The ABER in villages surveyed varied from 1.6 to 78%, which is mainly due to indiscriminate preparation of blood slides, i.e., without fever symptoms. Addressing the key gaps identified in data recording may aid in channeling the limited resources efficiently, thereby progressing toward malaria elimination. Adequate surveillance activities, along with systematic data recording, will enable timely, informed decision-making for the effective allocation of resources, ultimately supporting malaria elimination efforts in the state.
Cellular senescence in acute human infectious disease: a systematic review
Authors: Miller William C. , Wallace Stephanie , Kamm William , Reardon Erin , Theis-Mahon Nicole , Yousefzadeh Matthew J. , Schmidt Elizabeth L. , Niedernhofer Laura J. , Puskarich Michael A.
Published: November 2024

Introduction

Acute infectious disease represents a significant cause of mortality and morbidity in elderly individuals admitted to the hospital. In its extreme, it presents as sepsis, a systematic inflammatory and immunologic response responsible for self-injurious organ injury. As individuals age, a unique set of factors including immunosenescence predispose them to acquiring an infection and a worse clinical prognosis. This systematic review explores the relationship between cellular senescence, an age-related inflammatory phenomenon, with acute human infectious disease.

Methods

Embase via OVID, Scopus, Web of Science, Global Index Medicus, Cochrane Library via Wiley, and ClinicalTrials.gov were queried. Included studies must have compared at least one of the following measures of cellular senescence between patients with an infection and without an infection: cell cycle inhibition measured via levels of p16INK4a and/or p21CIP1, short telomere length, DNA damage via ɣH2AX, high senescence-associated β galactosidase activity, and inflammation via the detection of senescence associated secretory phenotype (SASP). Manuscripts were screened and data collected via two independent reviewers.

Results

A total of 15,828 studies were screened after duplicates were removed. One hundred and fifty-three full-text articles were assessed for eligibility and a total of 16 original articles were included in analysis. Of the 16 original articles included, 12 (75%) articles were centered on SARS-CoV-2, 2 (12.5%) articles utilized patients infected with Leishmania braziliensis, 1 (6.25%) with Plasmodium falciparum, and 1 (6.25%) with Hepatitis C.

Conclusion

Current literature demonstrates robust upregulation of markers of cellular senescence in the setting of acute SARS-CoV-2, P. falciparum, L. braziliensis, and hepatitis C virus, and that markers of senescence correlate with disease severity and persist for months after resolution. Limitations in the number and types of infectious organisms studied, low sample sizes, modest longitudinal sampling, and a lack of consistency in markers measured, the method of measurement, and the definition of normal values represent ongoing gaps in the literature.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=421473, Identifier CRD42023421473.
Multidisciplinary tumor boards in oral cavity cancer: survival effect due to balancing guideline adherence and treatment delays
Authors: Burkhardt Valentin , El-Shabrawi Katharina , Riemann Sarah , Voss Pit , Becker Christoph
Published: November 2024

Objectives

The purpose of the study was to assess the impact of a pretherapeutic Multidisciplinary Tumor Board (MTB) presentation on the prognosis and treatment outcomes in patients with primary oral cavity carcinoma.

Materials and methods

This single-center study included 630 patients diagnosed with oral cavity carcinoma treated between 2010 and 2020. The study cohort was divided in a group with and without pretherapeutic MTB presentation. Data on patient demographics, tumor characteristics, treatment and the time to treatment initiation (TTI) were collected retrospectively.

Results

Primary findings revealed no significant difference in 3-year survival rate (3-YSR) and 3-year disease-free survival rate (3-YDFSR) for the non-MTB and MTB group. The 3-YSR was 73.1% in the non-MTB group and 67.1% in the MTB group (p = 0.112). The 3-YDFSR was 73.8% in the non-MTB group and 76.5% in the MTB group (p = 0.447). Estimated mean 5-year survival (5-YS) and 5-year disease-free survival in (5-YDFS) did not differ significantly between both groups, across the UICC stages I-IV, as well as for the entire cohort. The TTI was significantly longer in the MTB group (33.5 days, CI: 31.3;35.7) compared to the non-MTB group (20.1 days, CI: 17.9;22.4, p < 0.001). The MTB group adhered more frequently to the national guidelines (68% vs. 79.6%, p < 0.01).

Conclusion

The results demonstrate both positive and negative side effects of the MTB presentation in patients with oral cavity cancer. Further multicenter studies will be required to assess the impact of TTI and adherence to guidelines on the survival of oral cavity cancer patients.
NASA’s astrophysics cross-observatory science support (ACROSS) initiative: enabling time-domain and multimessenger astrophysics
Authors: Humensky T. B. , Roberts C. J. , Barclay T. , Caputo R. , Cenko S. B. , Civano F. , Derleth J. , Hedges C. , Hui M. C. , Kennea J. A. , Kocevski D. , Racusin J. , Rani B. , Sambruna R. M. , Slutsky J.
Published: November 2024

The Astro2020 Decadal Survey recommended an investment in Time-Domain and Multimessenger Astrophysics (TDAMM) as the top-priority sustaining activity in space for the coming decade. One aspect of NASA’s response to this recommendation is a pilot project, the Astrophysics Cross-Observatory Science Support (ACROSS) initiative, designed to provide support to both missions and observers as they pursue TDAMM science. Here, we present our observations of needs in the community and initial plans for ACROSS activities, including services to facilitate and improve cross-mission follow-up planning and execution; a multimessenger web portal with links to existing mission resources, community tools, and information targeted for TDAMM general observers; development of “Smart target-of-opportunity submission page” proof-of-concepts; and ongoing development of a potential TDAMM general observing competitive grant solicitation. As the ACROSS pilot phase begins, we invite discussion of our plans with both missions and observers to better understand their needs and concerns.
Clinical efficacy of open palmar approach combined with distal radial cancellous bone transplantation and internal fixation in the treatment of scaphoid nonunion
Authors: Li Gang , Li Rui , Long Jafeng , Ou Xuehai , Shi Shaoyan
Published: November 2024

Background

To investigate the clinical efficacy of the open palmar approach combined with distal radial cancellous bone transplantation and internal fixation in the treatment of scaphoid nonunion.

Methods

From March 2019 to March 2022, our center conducted a clinical observation on 19 patients with scaphoid nonunion, including 14 males and 5 females, aged 18–63 years, with an average age of (43.5 ± 15.5) years. The surgical approach involved open palmar access combined with distal radial cancellous bone transplantation and internal fixation, followed by three months of immobilization with a splint. Postoperative x-ray examinations were performed at 6 months to observe bone graft healing and functional recovery.

Results

Follow-up of the 19 patients ranged from 6 to 24 months, with an average of 18 months. All patients achieved bony union, with an average healing time of 6 months. Postoperatively, wrist joint function was assessed using the modified Mayo wrist joint function scoring criteria: excellent in 15 cases, good in 2 cases; an excellent and good rate of 89.5%.

Conclusion

The open palmar approach combined with distal radial cancellous bone transplantation and internal fixation is effective in treating scaphoid nonunion. The procedure is minimally invasive, allowing complete exposure of the fractured end of the scaphoid and the distal radius through the same incision. It facilitates easy cleaning of the fracture end, as well as convenient bone harvesting, grafting, and internal fixation. The postoperative efficacy is reliable, demonstrating significant advantages in the treatment of scaphoid nonunion.
Effectiveness of the RB51 vaccine in controlling brucellosis in adult beef cows
Authors: Fernandes Carlos Antônio de Carvalho , Pereira Gustavo Henrique Souza , Pereira Jessica Ruiz , Alves Daniele Cristina , Dias Lucas Souza , Viana João Henrique Moreira , Drumond João
Published: November 2024

Introduction

The aim of this study was to compare the effectiveness of brucellosis control and reproductive performance using one or two doses of RB51 strain vaccine.

Methods

This experiment was conducted at two commercial beef farms (A, n = 477; and B, n = 673), which were selected due to their records of endemic brucellosis and a prevalence of 6 to 8% of seropositive cows. An initial serology screening (Day 0) was carried out in all cows using the Rose Bengal test (RB), and presumptive positive results were re-evaluated using a slow agglutination test with 2-mercaptoethanol (2-ME). Seropositive cows (64, 5.6%) were culled. Non-reactive cows were then randomly assigned into three experimental groups: G1, a single vaccination with RB51; G2, two doses of RB51 given 6 months apart; and G3 (control group), no vaccination. Serological tests were carried out on Days 90, 180, 270, and 360. In each evaluation, seropositive cows were removed. The variables related to occurrence of new infections and abortion, as well as those related to subsequent reproductive performance, were analyzed using the SAS software.

Results and discussion

Seropositive cows were still detected in both vaccinated and control groups at 90 days. However, no new infections were detected in G1 at 180 days or in G1 and G2 at 270 and 360 days, whereas new seropositive cows were diagnosed in all exams in G3 (control). Therefore, the cumulative number of new infections was lower in vaccinated than in control cows (0.2% and 0.0%, vs. 3.2% for groups G1, G2, and G3 respectively; p = 0.0002). In farm A the number of days open was greater in the control than in vaccinated groups (p < 0.05), and in farm B the pregnancy rate was lower in the control than in the group vaccinated once (p < 0.05). In summary, vaccination with RB51 in beef cows reduces the occurrence of new cases of brucellosis and improves the reproductive performance. There is no indication that a second immunization, six months after the first, enhances protection or reproductive efficiency.
Continuous Glucose Monitoring for the Diagnosis of Post-Transplantation Diabetes Mellitus and Impaired Glucose Tolerance From Years One to Five After Kidney Transplantation—A Prospective Pilot Study
Authors: Eleftheriadis Georgios , Naik Marcel G. , Osmanodja Bilgin , Liefeldt Lutz , Halleck Fabian , Choi Mira , Schrezenmeier Eva , Zukunft Bianca , Tura Andrea , Budde Klemens
Published: November 2024

Post-transplantation diabetes mellitus (PTDM) and prediabetes are associated with increased cardiovascular morbidity and mortality in kidney transplant recipients (KTR), when diagnosed by an oral glucose tolerance test (oGTT). Hemoglobin A1c (HbA1c) and fasting plasma glucose (FPG) display low concordance with the oGTT in the early phase posttransplant. For this prospective cross-sectional pilot study, 41 KTR from years one to five after transplantation without known preexisting PTDM (defined by HbA1c ≥ 6.5% (NGSP) or 48 mmol/mol (IFCC) at last visit or glucose-lowering therapy) were recruited at the Charité Transplant Outpatient Clinic. For each study participant HbA1c, FPG and an oGTT were followed by CGM. 38 of the 41 patients recruited had sufficient CGM-recordings (≥10 days). PTDM and impaired glucose tolerance (IGT), as defined by the gold standard oral glucose tolerance test (oGTT)-derived 2-h plasma glucose (2hPG), were diagnosed in one (3%) and twelve (32%) patients, respectively. HbA1c exhibited good test characteristics regarding IGT (ROC-AUC: 0.87); sensitivity/specificity of HbA1c-threshold 5.7% (NGSP) or 39 mmol/mol (IFCC) were 1.0/0.64, respectively. Best performing CGM-readouts mean sensor glucose and percent of time >140 mg/dL (%TAR (140 mg/dL)) displayed acceptable diagnostic performance (ROC-AUC: 0.78 for both). Thus, HbA1c can aid in timely diagnosis of IGT in the stable phase after kidney transplantation.
Uso básico del SPSS para Ciencias de la Salud
Authors:   Universidad Internacional del Ecuador UIDE, Romero Sandoval Natalia Cristina , Martín Mateo Miguel Luis ,   Universidad Internacional del Ecuador UIDE
Published: November 2024

Este libro está pensado para facilitar el aprendizaje del programa de análisis estadístico SPSS, de forma profesional. El proceso se lleva a cabo desde la creación o importación de la base de datos, su control de calidad y el desarrollo de los análisis estadísticos. Los datos corresponden a diversos casos reales de estudios llevados a cabo en Ecuador, como parte de las actividades de colaboración en el grupo de investigación iberoamericano Grupos de Recerca de América y África Llatines-GRAAL, por sus siglas en catalán (Grupo de Investigación de América y África latinas). El formato del libro se complementa con diversos ejercicios que ejemplarizan el proceso de análisis y finalmente con un ejercicio de autoevaluación con el fin de que el estudiante ponga a prueba las habilidades adquiridas. Este es un libro que permite su utilización en cursos de autoaprendizaje o como texto guía para un curso presencial, a desarrollar en las clases y está especialmente indicado para estudiantes de cuarto nivel en aspectos de Metodología de la Investigación con énfasis en Ciencias de la Salud y de la Vida.
Jak mówią Barbie i Ken? Analiza wypowiedzi filmowych postaci (w polskiej wersji językowej)
Authors: Trysińska Magdalena
Published: November 2024

The article investigates the language used by the movie characters Barbie and Ken in the film Barbie, directed by Greta Gerwig. The Polish dubbing version is the subject of analysis. The author posits that the language of film characters is a contributing factor in the formation of their respective stereotypes. In the case of Barbie and Ken, this is significant, since both characters are cultural icons, and their stereotypical image is well-known in many cultures. Consequently, they can be regarded as exemplifying a specific gender and social group, and the utterances in question can be viewed as a gender-dependent variant of language and a variant of language characteristic of one particular social group. Given the exaggerated nature of Barbie and Ken’s utterances, it is necessary to consider them as stylised. Furthermore, they leave considerable scope for interpretation. It could be argued that the film is a satire of the feminist movement and an indictment of an order based on male domination. Alternatively, it could be seen as a representation of the voices of women and men in the struggle for equal rights.
You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization
Authors: Shili Mohamed , Sohaib Osama , Hammedi Salah
Published: November 2024

The speedy progress of computer vision and machine learning engineering has inaugurated novel means for improving the purchasing experiment in brick-and-mortar stores. This paper examines the utilization of YOLOv (You Only Look Once) and DeepSORT (Deep Simple Online and Real-Time Tracking) algorithms for the real-time detection and analysis of the purchasing penchant in brick-and-mortar market surroundings. By leveraging these algorithms, stores can track customer behavior, identify popular products, and monitor high-traffic areas, enabling businesses to adapt quickly to customer preferences and optimize store layout and inventory management. The methodology involves the integration of YOLOv5 for accurate and rapid object detection combined with DeepSORT for the effective tracking of customer movements and interactions with products. Information collected in in-store cameras and sensors is handled to detect tendencies in customer behavior, like repeatedly inspected products, periods expended in specific intervals, and product handling. The results indicate a modest improvement in customer engagement, with conversion rates increasing by approximately 3 percentage points, and a decline in inventory waste levels, from 88% to 75%, after system implementation. This study provides essential insights into the further integration of algorithm technology in physical retail locations and demonstrates the revolutionary potential of real-time behavior tracking in the retail industry. This research determines the foundation for future developments in functional strategies and customer experience optimization by offering a solid framework for creating intelligent retail systems.
A Comprehensive Review of Autonomous Driving Algorithms: Tackling Adverse Weather Conditions, Unpredictable Traffic Violations, Blind Spot Monitoring, and Emergency Maneuvers
Authors: Xu Cong , Sankar Ravi
Published: November 2024

With the rapid development of autonomous driving technology, ensuring the safety and reliability of vehicles under various complex and adverse conditions has become increasingly important. Although autonomous driving algorithms perform well in regular driving scenarios, they still face significant challenges when dealing with adverse weather conditions, unpredictable traffic rule violations (such as jaywalking and aggressive lane changes), inadequate blind spot monitoring, and emergency handling. This review aims to comprehensively analyze these critical issues, systematically review current research progress and solutions, and propose further optimization suggestions. By deeply analyzing the logic of autonomous driving algorithms in these complex situations, we hope to provide strong support for enhancing the safety and reliability of autonomous driving technology. Additionally, we will comprehensively analyze the limitations of existing driving technologies and compare Advanced Driver Assistance Systems (ADASs) with Full Self-Driving (FSD) to gain a thorough understanding of the current state and future development directions of autonomous driving technology.
Sleep Apnea Classification Using the Mean Euler–Poincaré Characteristic and AI Techniques
Authors: Ramos-Martinez Moises , Sorcia-Vázquez Felipe D. J. , Ortiz-Torres Gerardo , Martínez García Mario , Mena-Enriquez Mayra G. , Sarmiento-Bustos Estela , Mixteco-Sánchez Juan Carlos , Rentería-Vargas Erasmo Misael , Valdez-Resendiz Jesús E. , Rumbo-Morales Jesse Yoe
Published: November 2024

Sleep apnea is a sleep disorder that disrupts breathing during sleep. This study aims to classify sleep apnea using a machine learning approach and a Euler–Poincaré characteristic (EPC) model derived from electrocardiogram (ECG) signals. An ensemble K-nearest neighbors classifier and a feedforward neural network were implemented using the EPC model as inputs. ECG signals were preprocessed with a polynomial-based scheme to reduce noise, and the processed signals were transformed into a non-Gaussian physiological random field (NGPRF) for EPC model extraction from excursion sets. The classifiers were then applied to the EPC model inputs. Using the Apnea-ECG dataset, the proposed method achieved an accuracy of 98.5%, sensitivity of 94.5%, and specificity of 100%. Combining machine learning methods and geometrical features can effectively diagnose sleep apnea from single-lead ECG signals. The EPC model enhances clinical decision-making for evaluating this disease.
Review of Key Technologies for Aviation Intelligent Pumps
Authors: Han Xudong , Wang Yan , Yu Liming , Fu Yongling , Zhu Deming
Published: November 2024

The airborne intelligent hydraulic system is an effective way to solve the ineffective power consumption and temperature rise of an aircraft hydraulic system. An intelligent pump that can work in a variety of modes according to the change of flight conditions is an inevitable requirement for the realization of airborne intelligent hydraulic system, and it is also the development trend of aviation pumps in the future. In this paper, key technologies for aviation intelligent pumps are reviewed. This paper briefly describes its development process and summarizes the research on aviation intelligent pumps from the aspects of the system scheme, working mode, structure form, and control strategy. Finally, the conclusions and trends of the research status of intelligent pumps are given, which can provide a reference for subsequent research on further improving the performance of aviation intelligent pumps.
The Effect of Microplastics with Different Types, Particle Sizes, and Concentrations on the Germination of Non-Heading Chinese Cabbage Seed
Authors: Zeng Xiaolei , Yang Xinyue , Tang Xianhuan , Xu Lixian , Hu Jing , Wang Mingcheng , Wang-Pruski Gefu , Zhang Zhizhong
Published: November 2024

Microplastics (MPs) are a new type of pollutant widely distributed in the environment. The ecological risks caused by MPs are becoming increasingly serious, especially in cultivated land where pollution is more likely to accumulate. In this paper, the effects of different types, particle sizes, and concentrations of MPs on the seed germination of non-heading Chinese cabbage were analyzed to reveal their potential mechanisms. Five types of MPs, polypropylene (PP), polyethylene (PE), polyvinyl chloride (PVC), polyethylene terephthalate (PET), and polystyrene (PS), were used for correlation analysis. The results showed that the effect of PVC and PET on seed germination was greater than that of PP, PS, and PE. PVC and PP promoted the growth of germinated seeds, while PET and PS showed a certain degree of inhibition. The effect of MPs with a particle size of 6.5–150 μm on seed germination was obvious. Low-concentration MPs (<1 g/L) had a weak inhibitory effect on seed germination. When the concentration was 1 g/L, 75 μm-PP, 75 μm-PVC, and 150 μm-PS promoted the growth of germinated seeds, while 48 μm PET showed inhibition. At high concentration, PP and PS inhibited amylase activity. In general, MPs’ effects showed significant differences according to different types, particle sizes, and concentrations.
Citrus Industry Agglomeration and Citrus Green Total Factor Productivity in China: An Empirical Analysis Utilizing a Dynamic Spatial Durbin Model
Authors: Dong Yani , Qi Chunjie , Gu Yumeng , Gui Cheng , Fang Guozhu
Published: November 2024

In the context of increasingly severe resource and environmental constraints, examining the impact of citrus industry agglomeration on the green total factor productivity (GTFP) of citrus is of great importance for the sustainable development of the citrus industry and is crucial for promoting the green, high-quality growth of China’s agricultural sector. In this study, the global Malmquist–Luenberger productivity index (GMLPI) model was used to measure the GTFP of mandarins and tangerines based on inter-provincial panel data from China’s major citrus-producing regions between 2007 and 2022. The dynamic spatial Durbin model was employed to empirically analyze the effects of citrus industry agglomeration on the GTFP of mandarins and tangerines, including the disaggregation of its spatial spillover effects. The results indicate that, in terms of temporal dynamics, the GTFP, technical progress index (GTC), and technical efficiency index (GEC) of mandarins and tangerines significantly fluctuated, especially during the period from 2007 to 2015. Regional disparities in GTFP and the GTC are more pronounced for mandarins than for tangerines, while the GEC shows greater regional disparities for tangerines than for mandarins. The intensification of citrus industry agglomeration has had a significant positive impact on the GTFP of mandarins and tangerines, both locally and in neighboring regions. The spatial correlation of the green total factor productivity of mandarins and tangerines fluctuated; mandarins showed significant spatial aggregation in some years, while tangerines showed significant spatial dispersion in several years. The local Moran scatterplot further reveals the significant negative spatial autocorrelation of mandarin and tangerine green total factor productivity from 2007 to 2022. The direct, indirect, and total effects of citrus industry agglomeration on the GTFP of mandarins and tangerines are significant and positive in both the short- and long-term, with short-term benefits exceeding long-term effects. Consequently, enhancing regional cooperation and exchange while advancing citrus industry agglomeration is essential for sustained productivity growth.
Hyperspectral Imaging Combined with Deep Learning for the Early Detection of Strawberry Leaf Gray Mold Disease
Authors: Ou Yunmeng , Yan Jingyi , Liang Zhiyan , Zhang Baohua
Published: November 2024

The presence of gray mold can seriously affect the yield and quality of strawberries. Due to their susceptibility and the rapid spread of this disease, it is important to develop early, accurate, rapid, and non-destructive disease identification strategies. In this study, the early detection of strawberry leaf diseases was performed using hyperspectral imaging combining multi-dimensional features like spectral fingerprints and vegetation indices. Firstly, hyperspectral images of healthy and early affected leaves (24 h) were acquired using a hyperspectral imaging system. Then, spectral reflectance (616) and vegetation index (40) were extracted. Next, the CARS algorithm was used to extract spectral fingerprint features (17). Pearson correlation analysis combined with the SPA method was used to select five significant vegetation indices. Finally, we used five deep learning methods (LSTMs, CNNs, BPFs, and KNNs) to build disease detection models for strawberries based on individual and fusion characteristics. The results showed that the accuracy of the recognition model based on fused features ranged from 88.9% to 96.6%. The CNN recognition model based on fused features performed best, with a recognition accuracy of 96.6%. Overall, the fused feature-based model can reduce the dimensionality of the classification data and effectively improve the predicting accuracy and precision of the classification algorithm.
Natural Co-Infections of Aeromonas veronii and Yellow Catfish Calicivirus (YcCV) in Ascites Disease Outbreaks in Cultured Yellow Catfish: An Emerging Fish Disease in China
Authors: Xu Shuai , Huang Wenli , Zheng Tao , Jin Shan , Wei Zigong , Guan Bo
Published: November 2024

Yellow catfish is one of the most important aquaculture species in China, with an annual output of 565,000 tons. Between May and July 2022, the farmed yellow catfish experienced an unusually high mortality rate in an aquaculture farm next to Futou Lake in Hubei, China. Diseased fish exhibited symptoms including ascites, skin ulcers, and bleeding in the head, oral cavity, and lower jaw base. Polymerase chain reaction (PCR) and sequence analyses confirmed the co-infection of Yellow Catfish Calicivirus (YcCV) and Aeromonas veronii in the diseased fish. Transmission electron microscopy exposed abundant virus particles within kidney and spleen cells, characterized by their spherical shape and approximate diameter of 35 nm. Historically, the ascites disease in yellow catfish has been predominantly attributed to bacterial infections over the past two decades. This study represents the first documentation of a correlation between the ascites disease of yellow catfish and the natural co-infection of YcCV and Aeromonas veronii. The findings suggest a possible synergistic interaction between YcCV and bacterial pathogens, potentially aggravating disease severity in yellow catfish aquaculture.
Nonuniform Temperature Compensation in Ultrasonic Guided Wave Pipeline Health Monitoring Using Local Phase Matching
Authors: Han Ye , Xia Shuo , Wen Qingchang , Zhang Pengfei , Lv Fuzai , Tang Zhifeng
Published: November 2024

Faced with a complex working environment, pipelines are prone to nonuniform temperature variations, which cause nonuniform phase changes in the guided wave signals during structural health monitoring, thereby increasing the difficulty of monitoring. To address this, a simulation model is established in this paper to analyze the effects of temperature on material parameters and the variation patterns of guided wave signals. A nonuniform temperature compensation method based on local phase matching is proposed. The algorithm first uses cosine similarity to find the locally best-matched signal segments between the monitoring signal and the baseline signal. Then, an indicator is introduced to quantify the differences between these best-matched signal segments, with the maximum difference considered to be the damage index. Three heating experiments on pipelines with nonuniform temperature fields ranging from 24 °C to 80 °C demonstrate that the proposed method can effectively overcome the resulting phase deviations while achieving high detection accuracy and a reduction false positives. Additionally, the method shows high resolution in detecting defects in both temperature-varying and non-temperature-varying regions.
Study on Image Classification Algorithm Based on Multi-Scale Feature Fusion and Domain Adaptation
Authors: Guo Yu , Cheng Ziyi , Zhang Yuanlong , Wang Gaoxuan , Zhang Jundong
Published: November 2024

This paper introduces the MMTADAN, an innovative algorithm designed to enhance cross-domain image classification. By integrating multi-scale feature extraction with Taylor series-based detail enhancement and adversarial domain adaptation, the MMTADAN effectively aligns features between the source and target domains. The proposed approach addresses the critical challenge of generalizing classification models across diverse datasets, demonstrating significant improvements in performance. The findings suggest that retaining essential image details through multi-scale extraction and Taylor series enhancement can lead to better classification outcomes, making the MMTADAN a valuable contribution to the field of image classification.
Impact of Feature Selection Techniques on the Performance of Machine Learning Models for Depression Detection Using EEG Data
Authors: Hassan Marwa , Kaabouch Naima
Published: November 2024

Major depressive disorder (MDD) poses a significant challenge in mental healthcare due to difficulties in accurate diagnosis and timely identification. This study explores the potential of machine learning models trained on EEG-based features for depression detection. Six models and six feature selection techniques were compared, highlighting the crucial role of feature selection in enhancing classifier performance. This study investigates the six feature selection methods: Elastic Net, Mutual Information (MI), Chi-Square, Forward Feature Selection with Stochastic Gradient Descent (FFS-SGD), Support Vector Machine-based Recursive Feature Elimination (SVM-RFE), and Minimal-Redundancy-Maximal-Relevance (mRMR). These methods were combined with six diverse classifiers: Logistic Regression, Support Vector Machine (SVM), Random Forest, Extreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Light Gradient Boosting Machine (LightGBM). The results demonstrate the substantial impact of feature selection on model performance. SVM-RFE with SVM achieved the highest accuracy (93.54%) and F1 score (95.29%), followed by Logistic Regression with an accuracy of 92.86% and F1 score of 94.84%. Elastic Net also delivered strong results, with SVM and Logistic Regression both achieving 90.47% accuracy. Other feature selection methods yielded lower performance, emphasizing the importance of selecting appropriate feature selection and machine learning algorithms. These findings suggest that careful selection and application of feature selection techniques can significantly enhance the accuracy of EEG-based depression detection.
A Trend Analysis of Changes in Cooling Degree Days in West Africa Under Global Warming
Authors: Dicko Kagou , Umaru Emmanuel Tanko , Sanogo Souleymane , Okhimamhe Appollonia Aimiosino , Loewner Ralf
Published: November 2024

Monitoring energy consumption in response to rising temperatures has become extremely important in all regions of the globe. The energy required for cooling is a major challenge in West Africa, where the climate is predominantly tropical. Among the various methods for evaluating energy requirements, the degree-day method is best known for its ability to estimate the heating, ventilation, and air-conditioning (HVAC) requirements of buildings. This study used three decades of weather station data to assess the cooling degree days (CDD) in two major West African cities, Kano and Bamako, across a range of base temperatures from 22 °C to 30 °C. The results indicate an increase in cooling degree days for Kano, whereas Bamako experienced a decrease in these parameters over the same period. Nonetheless, Bamako required a relatively higher cooling demand for all base temperatures. Furthermore, the study showed that the years 1998 and 2015 had the most significant impact on Kano and Bamako, with CDD values ranging from 2220 °C-day to 218 °C-day for Kano and from 2425 °C-day to 276 °C-day for Bamako. The study also found that a lower base temperature leads to higher energy consumption, while a higher base temperature leads to lower energy consumption. This information provides a useful reference for governments and policymakers to achieve energy efficiency and reduce greenhouse gas emissions.
Comparison of Environmental DNA Metabarcoding and a Traditional Survey Method for Assessing Fish Diversity and Distribution Along Salinity Gradient in an Urban Brackish Reservoir, China
Authors: Wang Xu , Wang Jiaqiao , Lin Lin , Huang Liangmin , Liu Kai , Dai Guangjie , Cai Qianwen , Li Jun , Feng Shilong , Wang Guangzhao , Hui Yapeng , Qiu Longhui , Ji Fenfen
Published: November 2024

With the decrease in fish diversity, the monitoring of fish has become a current research hotspot. Here, the fish diversity and spatial distribution along a salinity gradient (0.28‰–3.32‰) in Xinglinwan Reservoir, China, were investigated using eDNA and the TSM. With the combination of both methods, 12 species from 6 orders, 9 families, and 11 genera were observed. The invasive species Oreochromis niloticus had the highest relative abundance, accounting for 56.91% in the TSM and 89.80% in eDNA, respectively. eDNA detected 83.33% of the species detected using the TSM, and an additional six species (50.0% of the total species) were detected via only eDNA. Moreover, eDNA supplemented the unavailable abundance data from the TSM. The TSM revealed that the diversity and relative abundance of fish inhabiting seawater and brackish water increased with an increase in salinity, but this was not found using eDNA. Thus, our study highlights that Xinglinwan Reservoir has a low species richness and is suffering from the great harm of ecological invasion. Our findings also show that eDNA could be reliable for providing a comprehensive picture of fish, but discriminating the spatial heterogeneity of fish communities is a challenge for its widespread adoption in lentic brackish systems.
Transcriptional Responses of Lacticaseibacillus rhamnosus to TNFα, IL-6, IL-8, and IL-10 Cytokines
Authors: Klimina Ksenia M. , Dyachkova Marina S. , Veselovsky Vladimir A. , Zakharevich Natalia V. , Strokach Aleksandra A. , Selezneva Oksana V. , Shitikov Egor A. , Bespiatykh Dmitry A. , Yunes Roman A. , Poluektova Elena U. , Odorskaya Maya V. , Ostroukhova Polina S. , Bruskin Sergey A. , Danilenko Valeriy N. , Olekhnovich Evgenii I.
Published: November 2024

The interaction between gut microbiota and the host immune system is a complex and understudied field, with cytokines like TNFα, IL-6, IL-8, and IL-10 playing pivotal roles. Commensal bacteria, including lactobacilli, respond to these cytokines through adaptive mechanisms that support their survival and function within the gut. While the influence of cytokines on pathogenic bacteria is well documented, their impact on commensal bacteria, particularly lactobacilli, remains underexplored. This study investigates the transcriptional responses of Lacticaseibacillus rhamnosus strains K32 and R19-3 to various cytokines using next-generation RNA sequencing (RNA-seq). Our findings reveal that cytokines, especially IL-8 and IL-10, significantly alter the L. rhamnosus transcriptome, affecting genes involved in carbohydrate metabolism, stress response, and transcriptional regulation. Notably, IL-8 and IL-10 induce a significant downregulation of genes related to the phosphotransferase system, suggesting a reduction in metabolic activity in response to inflammatory signals. This study unveils a previously unexplored aspect of L. rhamnosus adaptation, highlighting its intricate response to cytokine signals. By modulating gene expression, L. rhamnosus may mitigate the adverse effects of inflammation and promote gut health. These insights could inform the development of targeted probiotic therapies for inflammatory bowel disease (IBD) and other conditions with altered cytokine levels. Our results suggest that co-evolution between a host and gut microbiota enables bacteria to respond to specific cytokines through gene expression changes, revealing a unique and underexplored facet of the interaction between commensal bacteria and the host organism.
Sex-Induced Changes in Microbial Eukaryotes and Prokaryotes in Gastrointestinal Tract of Simmental Cattle
Authors: Rojas Diórman , Estrada Richard , Romero Yolanda , Figueroa Deyanira , Quilcate Carlos , Ganoza-Roncal Jorge J. , Maicelo Jorge L. , Coila Pedro , Alvarado Wigoberto , Cayo-Colca Ilse S.
Published: November 2024

This study investigates gender-based differences in the gut microbiota of Simmental cattle, focusing on bacterial, archaeal, and fungal communities. Fecal samples were collected and analyzed using high-throughput sequencing, with taxonomic classification performed through the SILVA and UNITE databases. Alpha and beta diversity metrics were assessed, revealing significant differences in the diversity and composition of archaeal communities between males and females. Notably, females exhibited higher alpha diversity in archaea, while beta diversity analyses indicated distinct clustering of bacterial and archaeal communities by gender. The study also identified correlations between specific microbial taxa and hematological parameters, with Treponema and Methanosphaera showing gender-specific associations that may influence cattle health and productivity. These findings highlight the importance of considering gender in microbiota-related research and suggest that gender-specific management strategies could optimize livestock performance. Future research should explore the role of sex hormones in shaping these microbial differences.
Commercial Wearables for the Management of People with Autism Spectrum Disorder: A Review
Authors: Hernández-Capistrán Jonathan , Alor-Hernández Giner , Marín-Vega Humberto , Bustos-López Maritza , Sanchez-Morales Laura Nely , Sanchez-Cervantes Jose Luis
Published: November 2024

Autism Spectrum Disorder (ASD) necessitates comprehensive management, addressing complex challenges in social communication, behavioral regulation, and sensory processing, for which wearable technologies offer valuable tools to monitor and support interventions. Therefore, this review explores recent advancements in wearable technology, categorizing devices based on executive function, psychomotor skills, and the behavioral/emotional/sensory domain, highlighting their potential to improve ongoing management and intervention. To ensure rigor and comprehensiveness, the review employs a PRISMA-based methodology. Specifically, literature searches were conducted across diverse databases, focusing on studies published between 2014 and 2024, to identify the most commonly used wearables in ASD research. Notably, 55.45% of the 110 devices analyzed had an undefined FDA status, 23.6% received 510(k) clearance, and only a small percentage were classified as FDA Breakthrough Devices or in the submission process. Additionally, approximately 50% of the devices utilized sensors like ECG, EEG, PPG, and EMG, highlighting their widespread use in real-time physiological monitoring. Our work comprehensively analyzes a wide array of wearable technologies, including emerging and advanced. While these technologies have the potential to transform ASD management through real-time data collection and personalized interventions, improved clinical validation and user-centered design are essential for maximizing their effectiveness and user acceptance.
Efficacy of Monopolar Radiofrequency or Microwave Ablation in Intrahepatic Cholangiocarcinoma: A Retrospective Multicenter Study from Association des Gastro-Entérologues Oncologues (AGEO)
Authors: Briot Antoine , Bréhier Germain , Jaillais Anaïs , David Arthur , Girot Paul , Reboux Noémi , Boilève Alice , Touchefeu Yann
Published: November 2024

Background: Several locoregional treatments approaches, including thermoablation, have been tested for the treatment of intrahepatic cholangiocarcinoma (ICC) and have shown encouraging results. However, data are heterogeneous in terms of tumor number, size, and ablation technique. Objective: The aim of this study was to investigate the efficacy and prognostic factors in ICC treated by monopolar radiofrequency (RF) or microwave ablation (MW). Methods: This was a retrospective study including patients treated with RF or MW for ICC in six participating centers. DFS and OS were evaluated by the Kaplan–Meier method and prognostic factors by log-rank test and Cox modeling. Results: From January 2015 to October 2023, 24 patients with 31 nodules were treated with RFA or MW. Overall, 70% had chronic liver disease, with 50% at cirrhosis stage. The median size of lesions was 17 mm (6–35 mm). After a median follow-up of 33 months (5–85), the median DFS was 10.5 months. The median OS was 40.8 months. On univariate and multivariate analysis, only lesion size > 17 mm was associated with a poor OS (HR 3.09; IC [1.02; 9.37] (p = 0.04). Conclusions: Monopolar radiofrequency or microwave ablation is an alternative to surgery for small ICCs. Tumors < 17 mm were associated with better OS.
Method of Forming Road Surface Replicas Using 3D Printing Technology
Authors: Owczarzak Wojciech , Sommer Sławomir , Ronowski Grzegorz
Published: November 2024

Rolling resistance is a critical factor that influences vehicle energy consumption, emissions, and overall performance. It directly impacts fuel efficiency, tire longevity, and driving dynamics. Traditional rolling resistance tests are conducted on smooth steel drums, which fail to replicate real-world road surface textures, potentially skewing results. This article presents the process of designing surface replicas using 3D printing technology, which consisted of selecting the internal structure, material, and print parameters of the surface sample. In order to verify the designed structures, an original mechanical strength test was performed. The test was based on pressing the tire onto the test sample with an appropriate force that corresponded to typical conditions during rolling resistance measurements. The test results included surface texture profiles before and after the application of load, which were then superimposed to detect any possible sample deformation. The obtained strength test results confirmed the validity of using 3D printing technology in the process of obtaining road surface replicas.
Oncology Camp Participation and Psychosocial Health in Children Who Have Lived with Cancer—A Pilot Study
Authors: O’Connell Sarah , O’Keeffe Nathan , Wells Greg D. , West Sarah L.
Published: November 2024

Children with lived cancer experience encounter adversity, therefore experiences promoting psychosocial health are necessary. This pilot study determined the impact of recreational oncology camps (ROC) on resilience, hope, social support, and mental well-being in youth who have lived with cancer. Youth (6–18 years) with cancer experience enrolled in an 11-day session of ROC (Muskoka, Ontario, Canada) were invited to participate. Participants completed a survey [Children’s Hope Scale (CHS), Child and Youth Resilience Measure (CYRM-R), Social Provisions Scale (SPS-5), and Short Warwick–Edinburgh Mental Wellbeing Scale (SWEMWBS)] on the first (T1) and last day (T2) of camp, and 3 months post-camp (T3). Repeated-measures ANOVAs evaluated differences in survey scores among time points. Ten participants (14.1 ± 2.5 years) were included in the analysis. CHS scores at T3 were lower than T1 and T2 (F = 9.388, p = 0.008). CYRM-R, SPS-5, and SWEMWBS scores were high but did not differ between time points. Hope decreased 3 months post-camp, suggesting a need for continued psychosocial support. Overall, the ROC environment is associated with positive psychosocial health.
Soft Tissue Reconstruction and Integration to Implant After Bone-Tumor Resection: A Current Concept Review
Authors: Pesare Elisa , Vitiello Raffaele , Greco Tommaso , Solarino Giuseppe , Maccauro Giulio , Ziranu Antonio
Published: November 2024

Introduction: With the advancements in chemotherapy for malignant bone tumors, the number of patients eligible for limb salvage surgery has increased. Surgeons face a subsequent challenge in limb-sparing resection due to the need for reconstructing soft tissue coverage. The aim of this review is to focus on the present state of the field in these areas, highlighting recent advancements. Methods: A literature research was conducted using keywords such as “soft tissue”, “integration”, “reconstruction”, “megaprosthesis”, and “soft tissue coverage”, on different databases, and following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) criteria, a total of 35 studies were selected. Results: In recent times, there has been a growing emphasis on different techniques such mesh application, allograft-prosthesis composites, allograft reconstruction, a polyethylene terephthalate (PET) tube, prosthesis itself and certain metals utilized for implant coatings are used in soft tissue reconstruction. Conclusion: While tissue-engineered constructs and advancements in biological and cellular approaches have shown potential for enhancing osseointegration and interactions with soft tissues and implants, the actual clinical outcomes have frequently fallen short of expectations. The success of soft tissue integration is crucial for achieving functional outcomes, minimizing complications, and ensuring the long-term stability of orthopedic implants.