bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of anterior and posterior approach in the treatment of acute and chronic cervical spinal cord injury: a meta-analysis
Authors: Ding Yi , Li Ning , Hu Wenjing , Jiang Wenkang , Zhu Qianmiao , Jiang Ting , Cheng Huilin
Published: August 2024

Objective

A cervical spinal cord injury (CSCI) is a traumatic catastrophe that often leads to neurological dysfunction. The optimal surgical procedure for the treatment of CSCI remains debatable. The aim of this meta-analysis is to compare the neurological outcomes, complications, and clinical factors between anterior and posterior approach in CSCI treatment.

Methods

We searched PubMed, Embase, Web of Science and Cochrane library from their inceptions to october 2023. Preoperative and postoperative Spinal Injury Association (ASIA) and Japanese Orthopedic Association (JOA) scores, and calculated recovery rates (RRs) were compared between the two strategies, and differences in complication rates, operation time, intraoperative blood loss and length of stay were also analyzed.

Results

A total of five studies containing 613 patients were included, with 320 patients undergoing the anterior approach and 293 patients undergoing the posterior approach. Four of the studies included were retrospective cohort studies of high quality as assessed by the Newcastle Ottawa Scale. Additionally, there was one randomized controlled trial evaluated with the Cochrane Risk of Bias tool. Although both anterior and posterior approaches effectively facilitate spinal decompression and promote good neurological recovery, there was no significant difference in the incidences of neurological dysfunction and complications or other clinical features between the two approaches.

Conclusion

There is no evidence thus far supports one approach over the other. Large-scale randomized controlled studies are warranted to further distinguish these two methods.

Systematic Review Registration

https://www.crd.york.ac.uk/, PROSPERO [CRD42023438831].
Development of an ultrasound-guided radiofrequency ablation technique in the equine cadaveric distal limb: histological findings and potential for treating chronic lameness
Authors: Amari Martina , Rabbogliatti Vanessa , Ravasio Giuliano , Auletta Luigi , Brioschi Federica Alessandra , Riccaboni Pietro , Dell’Aere Silvia , Roccabianca Paola
Published: August 2024

Introduction

Radiofrequency (RF) relieves chronic pain in humans, but it is unexplored in horses affected by chronic lameness. This study aims to describe the technique and the histological effects of ultrasound (US)-guided radiofrequency ablation (RFA) of palmar digital nerves (PDNs) in horse’s fetlock and pastern,ex vivo.

Methods

After assessing the US anatomy of lateral and medial PDNs in fetlock and pasternin vivo(n = 10 horses; 20 forelimbs), US-guided RFA was performed on these sites in cadaveric forelimbs (n = 10) applying four different settings with increasing invasiveness (n = 40 total treatments): 60°C, 6 min (GROUP LOW); 70°C, 4 min (GROUP MEDIUM); 90°C, 2 min (GROUP HIGH); 80°C, 8 min (GROUP VERY HIGH). Needle-tip-to-nerve proximity was assessed with US and methylene blue, injected through the port of the RF needle. Nerves were collected for microscopical assessment.

Results

Transverse palmaro-lateral and palmaro-medial US images of fetlock and pastern detected PDNs consistently, close to the palmar digital artery. With in-plane US technique, RFA was performed at target in 31/40 cases, with significantly higher number of failures in fetlock (p = 0.008). PDNs histology identified thermal injury/coagulation with axonal degeneration and collagen homogenation. Nuclear smearing of arterial leyomyocytes was also observed. Nerve coagulation was significantly associated with treatment (p = 0.03) and needle-tip-to-nerve proximity (US distance:p = 0.009; blue distance:p = 0.04).

Discussion

The PDNs were easily visualized and reached with the RF needle by US in-plane-guided technique. RFA produced axonal thermal damage and intensity-related coagulation effectiveness. To ensure effective nerve coagulation, it is crucial that the needle is accurately positioned in close proximity to the target nerve. Based on the histopathological findings, HIGH and VERY HIGH RFA treatments might be worth of being testedin vivoin clinical studies aimed at treating chronic lameness of the distal forelimb in horses.
Słownik frekwencyjny w stulecie urodzin jego twórcy
Authors: Wabnic Kamil , Krzywdziński Jan
Published: August 2024

The article aims at discussing the reception of Słownik frekwencyjny polszczyzny współczesnej [‘The frequency dictionary of contemporary Polish’] and of the frequency lists published in Słownictwo współczesnego języka polskiego. The article pays particular attention to the current impact of the work, which was originally inspired, among others, by Jerzy Woronczak. The influence of the frequency dictionary is observable in various fields and subdisciplines of linguistics, including glottodidactics, comparative studies, speech therapy, pedagogy, psychology, and cognitive science. Additionally, the article outlines the general methodological assumptions of the corpus of the frequency dictionary, which is presented as an early form of corpus linguistics.
Synthetic Face Discrimination via Learned Image Compression
Authors: Iliopoulou Sofia , Tsinganos Panagiotis , Ampeliotis Dimitris , Skodras Athanassios
Published: August 2024

The emergence of deep learning has sparked notable strides in the quality of synthetic media. Yet, as photorealism reaches new heights, the line between generated and authentic images blurs, raising concerns about the dissemination of counterfeit or manipulated content online. Consequently, there is a pressing need to develop automated tools capable of effectively distinguishing synthetic images, especially those portraying faces, which is one of the most commonly encountered issues. In this work, we propose a novel approach to synthetic face discrimination, leveraging deep learning-based image compression and predominantly utilizing the quality metrics of an image to determine its authenticity.
Anti-Hail Nets in Viticulture: Do They Affect White Grape Quality in the Mediterranean Region?
Authors: Domanda Corrado , Blanco Ileana , Buccolieri Riccardo , Rustioni Laura
Published: August 2024

Anti-hail nets have been employed in viticulture to reduce the damage caused by hailstorms, but whether this strategy may have detrimental effects on grape quality in the Mediterranean region is still unknown. This study was carried out in the Salento region during the 2023 harvest to evaluate the grape microclimate and fruit quality attributes of ‘Fiano’ white grapes grown uncovered or covered with either crystal or black nets. The nets had a small but significant effect on the air temperature (about 0.3 °C and 0.1 °C higher with black and crystal nets, respectively) and relative humidity (about 1% lower with both black and crystal nets) in the grape zone. However, no significant variation was recorded for grape colouration (except for the chromaticity coordinate a*) nor for the main skin photosynthetic pigments (chlorophyll a, chlorophyll b, carotenoids), the total polyphenolic content, and the total soluble solids. Our preliminary results suggest that anti-hail nets can be effective to protect the grapevines against hailstorms and other adverse weather conditions, without having negative impacts on the colour development and bioactive compounds of white grapes in the Mediterranean region.
Assessing Salinity Tolerance in Pinto Bean Varieties: Implications for Sustainable Agriculture
Authors: Paul Winie S. , Afkairin Antisar , Andales Allan A. , Qian Yaling , Davis Jessica G.
Published: August 2024

Salinity is an abiotic stress restricting agricultural crop production globally, in which salts inhibit plants’ ability to absorb water and nutrients. Pinto beans (Phaseolus vulgaris L.) are very important in human nutrition and are sensitive to salinity. The objective of this study was to assess the salinity tolerance of six pinto bean varieties by evaluating the effect of different salt types on germination and growth. In the germination experiment, varieties were arranged in a randomized complete block design with five replications and three saline solutions (NaCl, CaCl2, MgSO4·7H2O) at 0, 0.05 M, 0.1 M, and 0.15 M concentrations each. For the greenhouse experiment, saline solutions with the same EC (5 dS m−1), control (distilled water), and six pinto bean varieties were organized in a Complete Random Design with 10 replicates. The results demonstrated that germination percentage, speed of germination, and hypocotyl length decreased as salt concentrations increased. Othello’s vegetative and reproductive parameters were significantly higher compared to the other varieties under saline conditions; its early maturity may have enabled it to perform better under salt stress. In addition to soil and water management, selecting salt-tolerant crops and varieties is essential to maintaining agricultural sustainability in regions undergoing salinization.
Prune-FSL: Pruning-Based Lightweight Few-Shot Learning for Plant Disease Identification
Authors: Yan Wenbo , Feng Quan , Yang Sen , Zhang Jianhua , Yang Wanxia
Published: August 2024

The high performance of deep learning networks relies on large datasets and powerful computational resources. However, collecting enough diseased training samples is a daunting challenge. In addition, existing few-shot learning models tend to suffer from large size, which makes their deployment on edge devices difficult. To address these issues, this study proposes a pruning-based lightweight few-shot learning (Prune-FSL) approach, which aims to utilize a very small number of labeled samples to identify unknown classes of crop diseases and achieve lightweighting of the model. First, the disease few-shot learning model was built through a metric-based meta-learning framework to address the problem of sample scarcity. Second, a slimming pruning method was used to trim the network channels by the γ coefficients of the BN layer to achieve efficient network compression. Finally, a meta-learning pruning strategy was designed to enhance the generalization ability of the model. The experimental results show that with 80% parameter reduction, the Prune-FSL method reduces the Macs computation from 3.52 G to 0.14 G, and the model achieved an accuracy of 77.97% and 90.70% in 5-way 1-shot and 5-way 5-shot, respectively. The performance of the pruned model was also compared with other representative lightweight models, yielding a result that outperforms those of five mainstream lightweight networks, such as Shufflenet. It also achieves 18-year model performance with one-fifth the number of parameters. In addition, this study demonstrated that pruning after sparse pre-training was superior to the strategy of pruning after meta-learning, and this advantage becomes more significant as the network parameters are reduced. In addition, the experiments also showed that the performance of the model decreases as the number of ways increases and increases as the number of shots increases. Overall, this study presents a few-shot learning method for crop disease recognition for edge devices. The method not only has a lower number of parameters and higher performance but also outperforms existing related studies. It provides a feasible technical route for future small-sample disease recognition under edge device conditions.
Deep Learning-Based Methods for Multi-Class Rice Disease Detection Using Plant Images
Authors: Li Yuhai , Chen Xiaoyan , Yin Lina , Hu Yue
Published: August 2024

Rapid and accurate diagnosis of rice diseases can prevent large-scale outbreaks and reduce pesticide overuse, thereby ensuring rice yield and quality. Existing research typically focuses on a limited number of rice diseases, which makes these studies less applicable to the diverse range of diseases currently affecting rice. Consequently, these studies fail to meet the detection needs of agricultural workers. Additionally, the lack of discussion regarding advanced detection algorithms in current research makes it difficult to determine the optimal application solution. To address these limitations, this study constructs a multi-class rice disease dataset comprising eleven rice diseases and one healthy leaf class. The resulting model is more widely applicable to a variety of diseases. Additionally, we evaluated advanced detection networks and found that DenseNet emerged as the best-performing model with an accuracy of 95.7%, precision of 95.3%, recall of 94.8%, F1 score of 95.0%, and a parameter count of only 6.97 M. Considering the current interest in transfer learning, this study introduced pre-trained weights from the large-scale, multi-class ImageNet dataset into the experiments. Among the tested models, RegNet achieved the best comprehensive performance, with an accuracy of 96.8%, precision of 96.2%, recall of 95.9%, F1 score of 96.0%, and a parameter count of only 3.91 M. Based on the transfer learning-based RegNet model, we developed a rice disease identification app that provides a simple and efficient diagnosis of rice diseases.
Naturally Abscised Fruitlets as a Potential Breeding Resource for Early Spring Buildup of Medfly Populations in Temperate Regions
Authors: Colacci Marco , Sciarretta Andrea , Lolletti Daniele , Bernabei Guido , Moraiti Cleopatra A. , Papadogiorgou Georgia D. , Rodovitis Vasilis G. , Papachristos Dimitrios P. , Milonas Panagiotis , Antonatos Spyridon , Papadopoulos Nikos T. , Lux Slawomir A.
Published: August 2024

The Mediterranean fruit fly (medfly), Ceratitis capitata, is considered one of the most destructive fruit pests worldwide. Female medflies prefer to lay eggs in ripening, ripe, or overripe fruits. In deciduous orchards of temperate regions, fruitlets (juvenile fruits) of early cultivars could represent the earliest spring resource with a potential host function for medflies. However, little is known about the medfly female’s ability to ovipositing and complete breeding in fruitlets. To clarify the possible role of fruitlets, the suitability of key-host fruitlets for the oviposition of medflies and the further development of immature stages were examined in laboratory conditions and an attempt was made to assess the degree of infection of fruitlets collected in the field. Additionally, the development of the overwintering medfly population and the putative use of fruitlets as a resource for early population growth were simulated using the PESTonFARM model optimized to reflect specific features of medfly biology and behavior. Our laboratory data demonstrate that nectarine and pear fruitlets can support the full development of medfly offspring. However, no medfly pupae were obtained from a sample of 14,000 fruitlets collected at the farm. The simulation showed that the sample number needed to detect with at least 95% certainty rare cases of medfly pupae or adults emerging from infected fruitlets is several tens of thousands, which is several times more than the actual number of fruitlets used in our study. Our research suggests that the fruitlets of some cultivated fruit species can potentially constitute a viable food resource for the development of the earliest generation of spring medflies, with implications for medfly Integrated Pest Management (IPM).
On-Target Deposition from Two Engine-Powered Sprayers in Medium-Foliage-Density Citrus Canopies
Authors: Larbi Peter Ako
Published: August 2024

Spray penetration into citrus canopies is critical for adequate coverage and deposition to ensure effective pest control. However, mismatch of air assistance to target canopy characteristics can lead to unintended spraying losses through overpenetration. To evaluate the effect of air assistance on on-target deposition, two sprayers (surrogates for airflow rates) were used to apply a fluorescent tracer dye solution @ a target concentration of 300 ppm to 16 medium-foliage-density tree blocks in a commercial mandarin orchard. The complete factorial experiment in three replications, also designed for validating a model-based spray decision support tool, comprised two forward travel speeds (1.6 and 4.8 km/h), two disc-core nozzles (TeeJet® D3-25 and D6-45), and either one or two nozzle rows to obtain a wide range of application rates (496 to 9719 L/ha). Dye deposition significantly decreased with canopy depth (p =< 0.001) by nearly seven times across the 3.4 m wide canopies but was not significant over 1.2 to 2.2 m sampling height (p = 0.867). Deposition obtained with the low-airflow-rate sprayer was significantly greater (p =< 0.001) than that obtained with the high-airflow-rate sprayer over the dose range likely due to too much air pushing out spray droplets. This study underscores the importance of matching the air assistance of orchard sprayers to the target canopy.
Image Segmentation-Based Oilseed Rape Row Detection for Infield Navigation of Agri-Robot
Authors: Li Guoxu , Le Feixiang , Si Shuning , Cui Longfei , Xue Xinyu
Published: August 2024

The segmentation and extraction of oilseed rape crop rows are crucial steps in visual navigation line extraction. Agricultural autonomous navigation robots face challenges in path recognition in field environments due to factors such as complex crop backgrounds and varying light intensities, resulting in poor segmentation and slow detection of navigation lines in oilseed rape crops. Therefore, this paper proposes VC-UNet, a lightweight semantic segmentation model that enhances the U-Net model. Specifically, VGG16 replaces the original backbone feature extraction network of U-Net, Convolutional Block Attention Module (CBAM) are integrated at the upsampling stage to enhance focus on segmentation targets. Furthermore, channel pruning of network convolution layers is employed to optimize and accelerate the model. The crop row trapezoidal ROI regions are delineated using end-to-end vertical projection methods with serialized region thresholds. Then, the centerline of oilseed rape crop rows is fitted using the least squares method. Experimental results demonstrate an average accuracy of 94.11% for the model and an image processing speed of 24.47 fps/s. After transfer learning for soybean and maize crop rows, the average accuracy reaches 91.57%, indicating strong model robustness. The average yaw angle deviation of navigation line extraction is 3.76°, with a pixel average offset of 6.13 pixels. Single image transmission time is 0.009 s, ensuring real-time detection of navigation lines. This study provides upper-level technical support for the deployment of agricultural robots in field trials.
LEP Gene Promotes Milk Fat Synthesis via the JAK2-STAT3 and mTOR Signaling Pathways in Buffalo Mammary Epithelial Cells
Authors: Gao Ruixia , Zhu Qunyao , Huang Lige , Fan Xinyang , Teng Xiaohong , Miao Yongwang
Published: August 2024

Leptin (LEP), a protein hormone well-known for its role in metabolic regulation, has recently been linked to lipid metabolism in cattle. However, its function in buffalo mammary glands remains unclear. To address this issue, we isolated and identified the LEP gene and conducted experiments to investigate its function in buffalo mammary epithelial cells (BuMECs). In this study, two transcript variants of LEP, designated as LEP_X1 and LEP_X2, were identified. The coding sequences (CDS) of LEP_X1 and LEP_X2 are 504 bp and 579 bp in length, encoding 167 and 192 amino acid residues, respectively. Bioinformatics analysis revealed that LEP_X2 is a hydrophobic protein with an isoelectric point below 7 and contains a signal peptide, while LEP_X1 is hydrophilic and lacks a signal peptide. Our study found that LEP gene expression in lactating BuMECs was significantly higher than in non-lactating cells, with LEP_X2 expression remarkably higher than LEP_X1 in lactating BuMECs. Overexpression of both LEP_X1 and LEP_X2 significantly promoted the expression of genes related to milk fat synthesis in lactating BuMECs, including STAT3, PI3K, mTOR, SCD, and SREBF1, accompanied by an increase in cellular triglycerides (TG). Interestingly, LEP_X2 overexpression significantly suppressed LEP_X1 expression while increasing intracellular TG concentration by 12.10-fold compared to LEP_X1 overexpression, suggesting an antagonistic relationship between the two variants and supposing LEP_X2 plays a dominant role in milk fat synthesis in lactating BuMECs. Additionally, four nucleotide substitutions were identified in the buffalo LEP CDS, including a nonsynonymous substitution c.148C>T (p.Arg50Cys), which was predicted to decrease the stability of the LEP protein without affecting its function. These results collectively underscore the significant role of LEP in milk fat synthesis and can provide a basis for molecular breeding strategies of buffalo.
Left-to-Left Acquired Cardiac Shunt: Aorto-Left Atrial Fistula Due to Aortic Infective Endocarditis in a Dog
Authors: Popa Teodora , Peștean Cosmin Petru , Constantin Irina , Cofaru Alexandra , Murariu Raluca , Tăbăran Flaviu-Alexandru , Scurtu Iuliu Călin
Published: August 2024

Infective endocarditis is a severe but rarely diagnosed disease, characterized by the presence of bacterial infection at the level of the cardiac valves. Although the incidence of the disease is very low, the consequences are severe and the prognosis is very poor, outlining a high mortality rate among cases. The present report highlights the case of a 7-year-old dog presented with abrupt changes in the respiratory pattern, obtunded and in lateral recumbency. The physical examination of the patient revealed fever and a IV/VI systolic heart murmur, with the point of maximal intensity on the left hemithorax. Echocardiography identified hyperechoic and cavitary changes beneath the aortic valves and a retrograde turbulent jet originating in the left ventricle outflow tract communicating with the left atrium through a rupture in the aortomitral intervalvular wall. Because of very unstable hemodynamic changes, the dog suddenly died despite the initiation of intensive care supportive treatment, and the postmortem evaluation of the heart confirms the suspicion of infective aortic endocarditis with the development of a paravalvular abscess and an aorto-left atrial fistula.
Impact of Interactions with a Puppy and Handler Versus a Handler Alone on Stress and Vitality in a University Setting: A Crossover Study
Authors: Howell Tiffani J. , Mai Dac L. , Draganovic Pam , Binfet John-Tyler , Bennett Pauleen C.
Published: August 2024

Brief interactions with a well-behaved dog can enhance wellbeing, but most campus-based dog visitation programs employ adult, trained dogs. There is little research about the impact of puppies on wellbeing or stress in this context. The aim of this study was to examine changes in perceived stress and vitality after interacting with a puppy. Staff and students (N = 32) at an Australian university attended the campus on two occasions, one week apart, as part of a crossover design. Participants were pseudo-randomly allocated to a group whereby they spent 20 min interacting with a handler alone at Visit 1 and interacted with a puppy and handler at Visit 2, or another group which reversed the interaction order. Perceived stress and subjective vitality were measured before and after each interaction. The increase in vitality was greater in the group experiencing the puppy and handler interaction first (significant main effect, F(1,49) = 646.89, p = 0.024, η2p = 1.00), regardless of the visit, possibly due to a social lubricating effect by the puppy, which carried over to the ‘handler alone’ second visit. Reductions in perceived stress were greater after the interaction with the puppy, for both groups (significant interaction effect, F(1,49) = 5.13, p = 0.029, η2p = 0.11), indicating that the puppy’s presence can reduce stress more than the handler alone. This extends the evidence for university-based dog-facilitated wellbeing programs, by showing that interactions with puppies can also be effective. This is important as it may mean that puppies already on campus as part of a socialization/training program can be incorporated into wellbeing programs for staff and students.
On the Čech-Completeness of the Space of τ-Smooth Idempotent Probability Measures
Authors: Kočinac Ljubiša D. R. , Zaitov Adilbek A. , Eshimbetov Muzaffar R.
Published: August 2024

For the set I(X) of probability measures on a compact Hausdorff space X, we propose a new way to introduce the topology by using the open subsets of the space X. Then, among other things, we give a new proof that for a compact Hausdorff space X, the space I(X) is also a compact Hausdorff space. For a Tychonoff space X, we consider the topological space Iτ(X) of τ-smooth idempotent probability measures on X and show that the space Iτ(X) is Čech-complete if and only if the given space X is Čech-complete.
Role of NHERF1 in MicroRNA Landscape Changes in Aging Mouse Kidneys
Authors: Jain Anish , Jung Hyun Jun , Aubee Joseph , O’Neil Jahn N. , Muhammad Laila A. , Khan Shaza , Thompson Karl , Fluitt Maurice B. , Lee Dexter L. , Klinge Carolyn M. , Khundmiri Syed J.
Published: August 2024

MicroRNAs (miRNAs) play important roles in the regulation of cellular function and fate via post-transcriptional regulation of gene expression. Although several miRNAs are associated with physiological processes and kidney diseases, not much is known about changes in miRNAs in aging kidneys. We previously demonstrated that sodium hydrogen exchanger 1 (NHERF1) expression regulates cellular responses to cisplatin, age-dependent salt-sensitive hypertension, and sodium-phosphate cotransporter trafficking. However, the mechanisms driving these regulatory effects of NHERF1 on cellular processes are unknown. Here, we hypothesize that dysregulation of miRNA-mediated gene regulatory networks that induce fibrosis and cytokines may depend on NHERF1 expression. To address this hypothesis, we compared miRNA expression in kidneys from both male and female old (12–18-month-old) and young (4–7-month-old) wild-type (WT) and NHERF1 knockout (NHERF1−/−) mice. Our results identified that miRNAs significantly decreased in NHERF1−/− mice included miR-669m, miR-590-3p, miR-153, miR-673-3p, and miR-127. Only miR-702 significantly decreased in aged WT mice, while miR-678 decreased in both WT and NHERF1−/− old versus young mice. miR-153 was shown to downregulate transcription factors NFATc2 and NFATc3 which regulate the transcription of several cytokines. Immunohistochemistry and western blotting revealed a significant increase in nuclear NFATc2 and NFATc3 in old NHERF1−/− mice compared to old WT mice. Our data further show that expression of the cytokines IL-1β, IL-6, IL-17A, MCP1, and TNF-α significantly increased in the old NHERF1−/− mice compared to the WT mice. We conclude that loss of NHERF1 expression induces cytokine expression in the kidney through interactive regulation between miR-153 and NFATc2/NFATc3 expression.
Prior Appendicectomy and Gut Microbiota Re-Establishment in Adults after Bowel Preparation and Colonoscopy
Authors: McGuinness Amelia J. , O’Hely Martin , Stupart Douglas , Watters David , Dawson Samantha L. , Hair Christopher , Berk Michael , Mohebbi Mohammadreza , Loughman Amy , Guest Glenn , Jacka Felice N.
Published: August 2024

Emerging evidence suggests that the human vermiform appendix is not a vestigial organ but rather an immunological organ of biological relevance. It is hypothesised that the appendix acts as a bacterial ‘safe house’ for commensal gut bacteria and facilitates re-inoculation of the colon after disruption through the release of biofilms. To date, no studies have attempted to explore this potential mechanistic function of the appendix. We conducted a pre-post intervention study in adults (n = 59) exploring re-establishment of the gut microbiota in those with and without an appendix after colonic disruption via bowel preparation and colonoscopy. Gut microbiota composition was measured one week before and one month after bowel preparation and colonoscopy using 16S rRNA sequencing. We observed between group differences in gut microbiota composition between those with (n = 45) and without (n = 13) an appendix at baseline. These differences were no longer evident one-month post-procedure, suggesting that this procedure may have ‘reset’ any potential appendix-related differences between groups. Both groups experienced reductions in gut microbiota richness and shifts in beta diversity post-procedure, with greater changes in those without an appendix, and there were five bacterial genera whose re-establishment post-procedure appeared to be moderated by appendicectomy status. This small experimental study provides preliminary evidence of a potential differential re-establishment of the gut microbiota after disruption in those with and without an appendix, warranting further investigation into the potential role of the appendix as a microbial safe house.
Novel Multi-Vibration Resonator with Wide Low-Frequency Bandgap for Rayleigh Waves Attenuation
Authors: Jiang Hui , Zhao Chunfeng , Chen Yingjie , Liu Jian
Published: August 2024

Rayleigh waves are vertically elliptical surface waves traveling along the ground surface, which have been demonstrated to pose potential damage to buildings. However, traditional seismic barriers have limitations of high-frequency narrow bandgap or larger volume, which have constraints on the application in practical infrastructures. Thus, a new type seismic metamaterial needs to be further investigated to generate wide low-frequency bandgaps. Firstly, a resonator with a three-vibrator is proposed to effectively attenuate the Rayleigh waves. The attenuation characteristics of the resonator are investigated through theoretical and finite element methods, respectively. The theoretical formulas of the three-vibrator resonator are established based on the local resonance and mass-spring theories, which can generate wide low-frequency bandgaps. Subsequently, the frequency bandgaps of the resonator are calculated by the finite element software COMSOL5.6 based on the theoretical model and Floquet–Bloch theory with a wide ultra-low-frequency bandgap in 4.68–22.01 Hz. Finally, the transmission spectrum and time history analysis are used to analyze the influences of soil and material damping on the attenuation effect of resonators. The results indicate that the resonator can generate wide low-frequency bandgaps from 4.68 Hz to 22.01 Hz and the 10-cycle resonators could effectively attenuate Raleigh waves. Furthermore, the soil damping can effectively attenuate seismic waves in a band from 1.96 Hz to 20 Hz, whereas the material of the resonator has little effect on the propagation of the seismic waves. These results show that this resonator can be used to mitigate Rayleigh waves and provide a reference for the design of surface waves barrier structures.
Optimization of Lower Suspension Point Position in Attached Cantilever Scaffold
Authors: Song Shushuang , Zhao Ying , Liang Fei , Guo Hu , Zhang Tianhao , Li Pengcheng , Xiong Gang
Published: August 2024

An attached cantilever scaffold, which mainly consists of a cantilever horizontal steel beam and a diagonal bar, is a new type of cantilever scaffold. The upper end of the diagonal bar is attached to an upper floor slab by a hinge, while the lower end is connected to a cantilever beam. Therefore, the position of the lower suspension point has a significant impact on the overall mechanical performance. However, current research on this topic is limited. Thus, in this study, we aim to optimize the mechanical behavior by changing the lower suspension point position. An optimization methodology based on the genetic algorithm is proposed. This methodology has been demonstrated to be efficient and accurate enough to determine the optimal lower suspension point position of a diagonal bar. The effects of different beam cross-sections, diagonal bar diameters, and upper suspension point positions are further investigated. The bearing capacity is shown to improve by more than 100% and 30% for hinged and rigidly connected cantilever beams when the proposed optimization methodology is adopted. The analysis in this study can serve as a reference for the optimal design of an attached cantilever scaffold and can provide a theoretical basis for developing related design software.
Full-Scale Lateral Load Test of Large-Diameter Drilled Shaft for Building Construction on Marine Deposits
Authors: Kim Mintae , Kim Youngsang , Ko Junyoung
Published: August 2024

The construction of buildings and infrastructure on marine deposits is challenging. The impact of the horizontal behavior of structures on reclaimed areas is critical. This study investigated the behavior of laterally loaded drilled shafts in marine deposits through a comprehensive analysis and full-scale lateral load test conducted in Songdo, South Korea. It identified various critical pile characteristics for designing and constructing architectural and civil structures in marine environments, focusing on a 2.5 m diameter, 40 m long drilled shaft. At a 900 kN design load, the test pile experienced a maximum moment of 3520.2 kN·m and a lateral deflection of 2.32 mm, with anticipated failure at a load of 1710 kN and 11.30 mm displacement. Fiber Bragg Grating (FBG) sensors enabled precise displacement and strain measurements, essential for constructing accurate load–displacement curves and understanding lateral load responses. Inverse analysis with validated data from a commercial software (LPILE) showed good alignment of maximum moment and displacement but highlighted challenges at failure loads. The study developed depth-dependent p-y curves for marine deposits, crucial for predicting soil–pile interaction and optimizing shaft design. Practical implications include using derived p-y curves and an empirical equation using Standard Penetration Test (SPT) results to predict the coefficient of horizontal subgrade reaction (kh) with high accuracy. Overall, this research emphasizes the importance of advanced instrumentation and analytical techniques for optimizing drilled shaft design and ensuring structural stability in challenging marine geological conditions.
Intelligent Life Cycle Cost-Based Framework for Seismic Design of Conventional Structures
Authors: Jebelli Sajad Taheri , Behnam Behrouz
Published: August 2024

It is well understood that the dominant approach in the seismic design of structures is to reduce the initial cost while meeting the required safety level, as dictated by compliance codes. Nevertheless, this approach often overlooks the long-term costs that are incurred over the lifetime of the structures. A comprehensive approach is thus required for a design based on life cycle cost (LCC), where both initial and long-term costs are considered. While LCC-based design has been employed on regular structures, irregular structures have not received adequate attention. This research aims to highlight the impact of irregularity on the LCC optimization of tall structures. To do this, a bi-objective heuristic optimization framework is developed to balance the initial and long-term costs. The framework is used to analyze six steel regular and setback irregular structures with 7, 10, and 13 stories. The structures are all designed to meet the life safety performance level. The findings show that the irregular structures reveal a higher sensitivity to variations in initial costs compared to regular structures, which are mainly buildings above 13 stories. We also show that reducing the LCCs of irregular structures requires a higher increase in the initial cost compared to regular structures; for example, in the regular and irregular 13-story structures, a 17% increase in the initial cost resulted in approximately 48% and 40% reductions in the LCCs, respectively. Overall, our results confirm that the long-term costs of irregular structures are more than those of regular ones; this is an important finding that should be considered for the seismic design of tall irregular structures.
Thermal and Structural Performances of Screen Grid Insulated Concrete Forms (SGICFs) Using Experimental Testing
Authors: El-Maghraby Yosra , Tarabieh Khaled , Sharkass Meral , Mashaly Islam , Fahmy Ezzat
Published: August 2024

The demand for sustainable building materials and systems with the emphasis on energy efficiency is on the rise. Insulating Concrete Forms (ICFs) are an example of such structural systems. Screen Grid Insulated Concrete Forms (SGICFs) are an innovative system that combines structural strength and thermal performance. ICF walls are commonly used in Western countries to provide high-level insulation and internal weather control. Accordingly, the current research conducts a comparative thermal analysis for a market-supplied ICF wall, a SGICF proposed design, and three typical brick walls used regionally in the Middle East. The heat transfer through the five walls is simulated by COMSOL Multiphysics and validated experimentally by utilizing a guarded hot box facility under the regulations of the ASTM C1363 standard. The market-supplied ICF walls showed better thermal insulation properties than the proposed SGICF walls, because of their higher thermal mass of concrete than in the SGICF walls. However, both walls had a remarkably higher insulation performance than the other three typical brick walls available in the market. The results reveal that the market-supplied ICF walls are overdesigned for use in the Middle East region, and SGICFs, with their comparative thermal transmittance, are a very good competitor in the Middle East market.
Redefining Residential Architecture: Designing Housing Estates for Older People in Poland
Authors: Gronostajska Barbara , Berbesz Anna
Published: August 2024

According to statistical forecasts, one in six people on the planet will be 60 years of age or older by 2030. By 2050, the number of people in this age group is predicted to double to 2.1 billion. Furthermore, it is projected that the number of people 80 years of age and older would treble between 2020 and 2050, reaching 426 million. For architects, this demographic transition poses a serious problem, especially when it comes to creating ergonomic living environments that adhere to universal design principles. With a focus on prefabricated large-panels technology built in Poland between 1960 and 1989, this study examines and presents effective design ideas for senior residential complexes and contrasts them with Polish and European approaches. The study addresses the unique needs of senior citizens, taking into account both physical and cognitive limitations, and provides a thorough analysis of statistical data to highlight the difficulties in designing for seniors. The article showcases creative design solutions made for people with cognitive impairments including Alzheimer’s disease and dementia. One of the key studies undertaken in the article was the analysis of the existing Popowice Północne housing estate in Wrocław, constructed using large-panel technology. Additionally, it sets out the fundamentals for developing age-friendly cities and provides thorough guidelines for a comprehensive approach to constructing living areas that are age-friendly. The article utilizes literature and statistical data analysis, case study research, and a comparative method. To summarize the analyses and research, a SWOT analysis was conducted on the accessibility of large-panel buildings for the older people.
Application of an Improved Method Combining Machine Learning–Principal Component Analysis for the Fragility Analysis of Cross-Fault Hydraulic Tunnels
Authors: Xu Yan , Sun Benbo , Deng Mingjiang , Xu Jia , Wang Pengxiao
Published: August 2024

Machine learning (ML) approaches, widely used in civil engineering, have the potential to reduce computing costs and enhance predictive capabilities. However, many ML methods have yet to be applied to develop models that accurately analyze the nonlinear dynamic response of cross-fault hydraulic tunnels (CFHTs). To predict CFHT models and fragility curves effectively, we identify the most effective ML techniques and improve prediction capacity and accuracy by initially creating an integrated multivariate earthquake intensity measure (IM) from nine univariate earthquake IMs using principal component analysis. Structural reactions are then performed using incremental dynamic analysis by a multimedium-coupled interaction system. Four techniques are used to test ML–principal component analysis (PCA) feasibility. Meanwhile, mathematical statistical parameters are compared to standard probabilistic seismic demand models of expected and computed values using ML-PCA. Eventually, multiple stripe analysis–maximum likelihood estimation (MSA-MLE) is applied to assess the seismic performance of CFHTs. This study highlights that the Gaussian process regression and integrated IM can improve reliable probability and reduce uncertainties in evaluating the structural response. Thorough numerical analysis, using the suggested methodology, one can efficiently assess the seismic fragilities of the tunnel by the predicted model. ML-PCA techniques can be viewed as an alternate strategy for seismic design and CFHT performance enhancement in real-world engineering.
Experimental Study on Infiltration of Seawater Bentonite Slurry
Authors: Dong Hongzhen , Wang Deming , Li Zhipeng , Zhang Qingsong , Li Yirui , Zhang Jianguo , Zhang Lianzhen , Zhang Luchen
Published: August 2024

A bentonite slurry mixed with seawater is prone to sedimentation, which will reduce the quality of the filter cake and lower the stability of the excavation surface in undersea tunnels. It is necessary to study the performance and influencing factors of the bentonite slurry mixed with seawater. This article simulates the process of undersea slurry shield tunnel construction, where the pressurized slurry penetrates into the sand layer and forms a filter cake when the shield stops pressurizing. We investigated the effects of bentonite, additives (CMC), fine sand, pressure, and formation permeability on the performance of the seawater slurry and filter cake. The sedimentation of mud caused by seawater interfered with the experiment, which manifested as the increase in bentonite, and delayed the formation of the filter cake. Fine sand with a particle size close to the average value of the formation can improve the speed and quality of filter cake formation. By conducting a sensitivity analysis on experimental data, the degree of influence of various factors on the formation rate, thickness, and porosity of the filter cake was determined. Fine sand and bentonite are the factors that have the greatest impact on the formation rate, thickness, and porosity of the filter cake.
Minimally Invasive Management of Inguinal Lymph Nodes in Penile Cancer: Recent Progress and Remaining Challenges
Authors: Aydin Ahmet Murat , Biben Emily , Yu Alice , Chakiryan Nicholas H. , Mehrazin Reza , Spiess Philippe E.
Published: August 2024

The diagnosis of occult inguinal lymph node metastasis in clinically node-negative invasive penile squamous cell carcinoma (PSCC) has remained a challenge, with substantial perioperative complications. The recent refinements in the technique of dynamic sentinel lymph node biopsy (DSLNB) demonstrated high diagnostic accuracy with considerably lower morbidity compared to conventional open modified/superficial inguinal lymph node dissection (ILND). Although DSLNB, if available, has been endorsed as the preferred method for nodal staging in patients with invasive PSCC and no palpable inguinal lymphadenopathy in the recent penile cancer guidelines, its utilization has been quite limited so far. Laparoscopic and robotic-assisted ILND have emerged as alternatives for nodal staging in this patient population and are shown to improve the rate of wound infections and postoperative pain. For management of nodal metastasis in patients with clinically palpable inguinal lymph nodes, minimally invasive ILND has shown promising results as well. Nonetheless, given the rarity of PSCC and the absence of prospective studies and clinical trials, nodal staging and treatment of nodal metastasis in clinical practice will likely continue to vary across the medical centers in the following years. In this review, we first summarize the evolution of DSLNB and minimally invasive ILND and discuss the advantages and drawbacks of each management strategy. We further discuss the remaining challenges and future perspectives in the management of inguinal lymph nodes in patients with PSCC.
Evaluation of Hi-C Sequencing for Detection of Gene Fusions in Hematologic and Solid Tumor Pediatric Cancer Samples
Authors: Schmitt Anthony D. , Sikkink Kristin , Ahmed Atif A. , Melnyk Shadi , Reid Derek , Van Meter Logan , Guest Erin M. , Lansdon Lisa A. , Pastinen Tomi , Pushel Irina , Yoo Byunggil , Farooqi Midhat S.
Published: August 2024

Hi-C sequencing is a DNA-based next-generation sequencing method that preserves the 3D genome conformation and has shown promise in detecting genomic rearrangements in translational research studies. To evaluate Hi-C as a potential clinical diagnostic platform, analytical concordance with routine laboratory testing was assessed using primary pediatric leukemia and sarcoma specimens. Archived viable and non-viable frozen leukemic cells and formalin-fixed paraffin-embedded (FFPE) tumor specimens were analyzed. Pediatric acute myeloid leukemia (AML) and alveolar rhabdomyosarcoma (A-RMS) specimens with known genomic rearrangements were subjected to Hi-C to assess analytical concordance. Subsequently, a discovery cohort consisting of AML and acute lymphoblastic leukemia (ALL) cases without known genomic rearrangements based on prior clinical diagnostic testing was evaluated to determine whether Hi-C could detect rearrangements. Using a standard sequencing depth of 50 million raw read-pairs per sample, or approximately 5X raw genomic coverage, we observed 100% concordance between Hi-C and previous clinical cytogenetic and molecular testing. In the discovery cohort, a clinically relevant gene fusion was detected in 45% of leukemia cases (5/11). This study provides an institutional proof of principle evaluation of Hi-C sequencing to medical diagnostic testing as it identified several clinically relevant rearrangements, including those that were missed by current clinical testing workflows.
Comparative Meta-Analysis of Triplet vs. Quadruplet Induction Regimens in Newly Diagnosed, Treatment Naïve, Multiple Myeloma
Authors: Paul Barry , Anwer Faiz , Raza Shahzad , Mammadzadeh Aytaj , Khasawneh Bayan , Shatnawi Sara , McGuirk Joseph , Ahmed Nausheen , Mahmoudjafari Zahra , Mushtaq Muhammad , Abdallah Al-Ola , Atrash Shebli
Published: August 2024

The use of 4-drug induction regimens for treatment naïve newly diagnosed multiple myeloma (NDMM) is associated with improved depth of response and progression-free survival (PFS). However, head-to-head trials of 4-drug combinations are lacking, and instead, these regimens are typically compared to 3-drug backbones; limiting the ability to discern whether any additional benefit (or toxicity) is simply additive or represents a synergy (or interaction). We conducted a meta-analysis of phase 2 and phase 3 clinical trials that randomized treatment naïve NDMM patients to either a 4-drug or 3-drug induction regimen. We included 11 trials which represented 6509 unique patients. PFS for all trials in the meta-analysis was 54 months with a 4-drug induction and 8.9 months with a 3-drug induction (HR: 0.49; 95% CI: 0.45; 0.54), but there was no benefit to using a 4-drug induction that did not include an anti-CD38 antibody (PFS 4-drug 8.1 months, PFS 3-drug 8.0 months; HR 0.95; 95% CI 0.86; 1.06). Adverse events were more frequent with the quadruplet regimens but were predominately mild. High-grade (≥3) adverse events (AEs) that were more common with 4-drug regimens were infections (RR: 1.34; 95% CI 1.17; 1.54) and thrombocytopenia (RR: 1.39; 95% CI 1.12; 1.74). This study suggests that 4-drug induction regimens which include an anti-CD38 antibody improve efficacy although with additional toxicity in NDMM patients.