Multiple Intervals Research Articles

Filament winding pattern generation for non-axisymmetric mandrels based on path adaptive adjustment

Obtaining a uniform and continuous winding pattern for non-axisymmetric mandrel using current filament winding techniques is still a challenge. In this study, an algorithm was developed to generate winding pattern for axisymmetric and non-axisymmetric mandrels. Firstly, the mandrel surface is divided into uniform quadrilaterals, and the centerline of the mandrel is extracted according to the vertices of the quadrilaterals. Then, based on the centerline, the mandrel is divided into multiple intervals. Combined with the stability analysis of the winding path on the triangular facets, a series of non-slippage winding paths are generated within the intervals. Finally, the non-slippage winding paths are adaptively adjusted, and a uniform winding pattern is generated for the mandrel through iteration. The simulation results demonstrate that the generated paths pass through uniform points on the same cross-section, ensuring the uniformity of the winding pattern. The winding paths realize free rotation at the ends of the mandrel, ensuring the continuity of the winding pattern. And the proposed method can be applied to various types of non-axisymmetric mandrels, overcoming the limitation of previous methods which can only generate winding patterns when the mandrel surface is represented by mathematical equations.

Quantitative Trait Loci Mapping for Powdery Mildew Resistance in Wheat Genetic Population

Background/Objectives: Powdery mildew is a prevalent wheat disease that affects yield and quality. The characterization and fine mapping of genes associated with powdery mildew resistance can benefit marker-assisted breeding. Methods: In this study, quantitative trait loci (QTL) associated with powdery mildew were mapped using a high-density 35K DArT genetic linkage map developed from a population of double haploid lines (DHs) created by crossing “Jinmai 33 (a highly resistance line) with Yannong 19 (a highly susceptible line)”. Results: Three stable QTLs for powdery mildew were identified on chromosomes 1B, 2B, and 6A combined with the composite interval graphing method and multiple interval mapping, explaining phenotypic variations (PVE) that range from 4.98% to 13.25%. Notably, Qpm.sxn-1B and Qpm.sxn-2B were identified across three environments, with the PVE ranging from 9.37% to 13.25% and from 4.98% to 5.23%, respectively. The synergistic effects of these QTLs were contributed by the parental line “Jinmai 33”. Qpm.sxn-1B was the major stable QTL, and Qpm.sxn-2B was close to Pm51. Furthermore, Qpm.sxn-6A was identified in two environments, accounting for PVE values of 7.13% and 7.65%, respectively, with the resistance effects originating from the male parent. Remarkably, this locus has not been reported previously, indicating that Qpm.sxn-6A represents a newly dis-covered QTL governing powdery mildew genes. Conclusions: Five molecular markers available for mark-er-assisted selection were selected for tracking Qpm.sxn-1B and Qpm.sxn-2B in the program. The identification of this novel newly discovered QTL and markers reported in this study will be useful for marker-assisted selection of powdery mildew resistance.

Temporal-Incremental Learning for Android Malware Detection

Malware classification is a specific and refined task within the broader malware detection problem. Effective classification aids in understanding attack techniques and developing robust defenses, ensuring application security and timely mitigation of software vulnerabilities. The dynamic nature of malware demands adaptive classification techniques that can handle the continuous emergence of new families. Traditionally, this is done by retraining models on all historical samples, which requires significant resources in terms of time and storage. An alternative approach is Class-Incremental Learning (CIL), which focuses on progressively learning new classes (malware families) while preserving knowledge from previous training steps. However, CIL assumes that each class appears only once in training and is not revisited, an assumption that does not hold for malware families, which often persist across multiple time intervals. This leads to shifts in the data distribution for the same family over time, a challenge that is not addressed by traditional CIL methods. We formulate this problem as Temporal-Incremental Malware Learning (TIML), which adapts to these shifts and effectively classifies new variants. To support this, we organize the MalNet dataset, consisting of over a million entries of Android malware data collected over a decade, in chronological order. We first adapt state-of-the-art CIL approaches to meet TIML's requirements, serving as baseline methods. Then, we propose a novel multimodal TIML approach that leverages multiple malware modalities for improved performance. Extensive evaluations show that our TIML approaches outperform traditional CIL methods and demonstrate the feasibility of periodically updating malware classifiers at a low cost. This process is efficient and requires minimal storage and computational resources, with only a slight dip in performance compared to full retraining with historical data.

A high-precision two-parameter road roughness grading and identification methodology across multiple frequency intervals

Based on a dual track road shape meter, various road roughness was measured. It was discovered that the road grading method in ISO 8608 assumes a constant waviness value of W = 2 with a one-straight line approximation, but it could not accurately fit and grade the measured road roughness. A high-precision piecewise fitting function for the low-frequency and high-frequency parts of the road roughness power spectral density (PSD) is established. A high-precision two-parameter grade method in multiple frequency bands for road roughness is proposed ( G q( n0), the geometric average of the road roughness index at n0, W, the waviness, is the slope of the road roughness PSD fitting expression in the double logarithmic coordinate system). According to the vehicle driving performance obtained by simulation, the grading method is verified. For Paved and Undulating roads, compared to the road roughness classification method in ISO 8608, the performance simulated based on the grade results of the two parameters grading method are closer to the performance simulated based on the measured road roughness. The grading method proposed in this paper can more accurately fit and classify the measured road roughness. The influence of these parameters at each frequency interval on vehicle driving performance is studied. A two-parameter identification method for road roughness PSD at variable intervals over a large frequency range is proposed. In the double logarithmic coordinate system, this method divides the selected spatial frequency into three sub-intervals along the abscissa, in each sub-interval, the parameters G q( n0) and W are identified separately. This method can provide effective control inputs for the vehicle’s active or semi-active suspension system.

Treatment Outcomes of Four-Implant-Retained Maxillary Palateless Overdenture: A 5-Year Observational Study.

Palateless overdentures (PLODs) provide advantages of improved taste perception and retention over conventional dentures. We aimed to evaluate 5-year outcomes of four implant maxillary PLODs. In this prospective observational study, edentulous participants were enrolled. A new conventional maxillary denture was prepared followed by implant placement and insertion of four implant retained maxillary PLOD. Oral health quality of life was assessed using the 49-item Oral Health Impact Profile (OHIP-49) at multiple intervals over 5 years along with biological and mechanical outcomes. Nine patients were evaluated at year 5. The mean age was 68 years, and six of the nine patients were males. The cumulative survival rate of implants was 100% while the implant success rate was 86%. Nylon retentive replacement was the most common encountered complication noted approximately four times per patient over 5 years. From a mean OHIP-49 severity score of 71.2 at baseline, severity scores decreased to 23.9 (p < 0.001) at year 1, denoting a clinically meaningful and statistically significant improvement in oral health quality of life. The lowered OHIP-49 severity scores remained stable throughout 5 years of follow-up. Four implant supported maxillary overdenture appears to have good patient perceived, biological and mechanical outcomes over 5 years. Fully powered studies are needed to replicate these findings.

A Northgrippian sedimentary magnetic enhancement along the western margin of India

Sedimentary magnetic records of shelf region contains complex environmental evolution information, necessitating records from various global regions to accurately interpret its significance. A sediment core (SSD-39/GC-01) retrieved from the eastern Arabian Sea was analyzed to elucidate the geologic and climatic controls on the sediment rock magnetic and grain size properties. We report the first record of high energy sediment deposits linked with intense monsoon phases, sea level variations, and extreme natural events during the Northgrippian period (8.27 ka to 4.20 ka). The compilation of magnetic susceptibility profiles of six sediment cores from the western margin of India revealed the presence of multiple sedimentary intervals of enhanced magnetic susceptibility and most likely reflect periods of high sedimentation events controlled by the regional geologic and climatic processes. We identified two anomalous sedimentary magnetic zones (Z-II, Z-IV) marked by an elevated magnetite content and sediment grain size, which reflect the periods of high-sedimentation events on the shelf off Goa. A shift in the magnetic mineral composition, clastic grain size, calcium carbonate, and organic carbon content at ~1.8 ka (Z-I) indicate a abrupt change in monsoon intensity. The elevated organic content within Z-I indicate efficient preservation of labile organic matter which survived oxidation due to rapid sediment deposition. End-member modeling of rock magnetic and grain size properties enabled us to discriminate and quantify the contributions of terrigenous fluxes and post-depositional mineral phases to the bulk magnetic mineral assemblage. We demonstrate that rapid scanning of magnetic susceptibility of sediment cores has the potential to precisely detect the periods of increased continental (magnetic flux) inputs into the marine shelf system. The proposed magnetic mineralogical approach has wider scope to constrain the understanding of how shelf sedimentation responded to past geological and climatic conditions globally.

Elucidating the relationship between blood glucose dynamics and growth hormone responses in glucagon stimulation tests among children with short stature

Introduction: The use of glucagon as a provocative agent for growth hormone (GH) assessment is a cornerstone in pediatric endocrinology. Glucagon's role as a GH secretagogue is integral to growth hormone stimulation tests (GHSTs), which diagnose suspected GH deficiency (GHD) in children. These tests are crucial for assessing the hypothalamic-pituitary-adrenal (HPA) axis's integrity. Despite its prevalent use, the exact mechanisms by which glucagon prompts GH release and the impact of ensuing blood glucose (BG) fluctuations are not fully understood. Objectives: This study aims to explore the relationship between GH and BG levels in children with short stature following glucagon administration. Patients and Methods: A retrospective cohort study involved 42 pediatric patients, aged 6 to 11, with short stature. We analyzed GH and BG levels before and after intramuscular glucagon Simulation test (GST). Blood samples were taken at baseline and multiple intervals post-injection. Results: The results revealed that the mean glucose peaked at 60 minutes and declined to a nadir at 120 minutes, which corresponded with a significant rise in GH levels. GH concentrations peaked at 120 minutes post-injection, with 31% of children showing peak GH levels of less than 7 μg/L. Notably, the study found an inverse correlation between BG and GH at peak glucose times, suggesting a complex interplay between glucose dynamics and GH response. Discussion: Our findings indicate a dynamic interrelation between BG and GH post-glucagon injection, challenging traditional interpretations of GST results. The study reinforces the notion that GHST results should be interpreted with consideration of patient-specific factors such as BMI to ensure accurate evaluation of GH reserve and subsequent clinical decision-making. Conclusion: The study corroborates the dynamic nature of GH and glucose responses following glucagon administration and highlights the need for personalized approaches in interpreting GHSTs. Further investigation is warranted to elucidate the mechanisms influencing this complex relationship, which is crucial for accurate diagnosis and management of GHD in children.

The higher oxygen consumption during multiple short intervals is sex-independent and not influenced by skeletal muscle characteristics in well-trained cyclists.

It has been suggested that time spent at a high fraction of maximal oxygen consumption (% O2max) plays a decisive role for adaptations to interval training. However, previous studies examining how interval sessions should be designed to achieve a high % O2max have exclusively been performed in males. The present study compared the % O2max attained during three different 6×8 min interval protocols, in female (n=11; O2max, 62.5 (6.4)mL·min-1·kg-1) and male (n=8; O2max, 81.0 (5.2)mL·min-1·kg-1) cyclists. Mean power output during work intervals were identical across the three interval protocols, corresponding to the cyclist's 40 min maximal effort (PO40min): (1) 30 s intervals at 118% of PO40min interspersed with 15 s active recovery at 60% (30/15), (2) constant pace at 100% of PO40min (CON), and (3) altering between 60 s intervals at 110% and 60 s at 90% of PO40min (60/60). Additionally, the study explored whether the m. vastus lateralis characteristics of the cyclists (fiber type proportion, capillarization, and citrate synthase activity) were associated with the % O2max attained during the interval sessions. Overall, mean % O2max and time ≥90% of O2max were higher during 30/15 compared to CON (86.7 (10.1)% and 1123 (787) s versus 85.0 (10.4)% and 879 (779) s, respectively; both p≤0.01) and 60/60 (85.6 (10.0)% and 917 (745) s, respectively; both p≤0.05), while no difference was observed between 60/60 and CON (both p≥0.36). During interval sessions, % O2max and time ≥90% of O2max did not differ between sexes. Skeletal muscle characteristics were not related to % O2maxduring interval sessions. In conclusion, well-trained cyclists demonstratehighest % O2max during 30/15, irrespective of sex and skeletal muscle characteristics.

Reconstructing representations using diffusion models for multimodal sentiment analysis through reading comprehension

The primary challenge in multimodal sentiment analysis (MSA), which utilizes textual, audio, and visual information to analyze speakers' emotions, lies in constructing representation vectors that incorporate both unimodal semantic and multimodal interaction information. While existing research has extensively focused on multimodal fusion strategies, there remains insufficient exploration of the intrinsic potential within concurrently enhancing unimodal and multimodal representations. To address this gap, we introduce two additional steps to traditional three-step MSA: text modality enhancement through the machine reading comprehension (MRC) framework and multimodal representation reconstruction via proposing the diverse diffusion denoising autoencoder (D3AE) module. The MRC queries are integrated to locate sentiment-related prior knowledge, thereby deepening textual semantic understanding from a pretrained language model. Meanwhile, D3AE employs a single-step denoising strategy along with diffusion models across multiple time intervals, enabling efficient reconstruction and enhancement of multimodal representations. Extensive experiments conducted on two benchmark datasets, CMU-MOSI and CMU-MOSEI, validate that our model, MRC-D3AE, achieves state-of-the-art performance. The superiority of our model over existing baselines is primarily attributed to integrating MRC for enhancing text modality and D3AE for reconstructing multimodal representations.

Cladribine tablets in relapsing-remitting multiple sclerosis preferentially target B-cells

Recent studies demonstrate the efficacy of B cell-targeting therapies in managing multiple sclerosis (MS) activity, emphasizing the critical role of B cells in MS pathogenesis. CladB study aimed to quantify the temporal changes in peripheral immune cells and their activity over 96 weeks of Cladribine tablets (CladT) treatment in relapsing-remitting MS (RRMS).Ten participants (3 males, 7 females) had blood samples collected at multiple intervals (Day 0, 1, 5, then weekly for 8 weeks, biweekly for up to 24 weeks, and monthly for up to 96 weeks) for immune cell analysis, compared to a historical alemtuzumab-treated cohort. Paired cerebrospinal fluid (CSF) was also taken for various analyses, alongside clinical and brain imaging assessments.CladT depleted memory B cells, while alemtuzumab rapidly depleted T and B cells. The кFLC index decreased from 164.5 ± 227.1 to 71.3 ± 84.7 at 48 weeks (p = 0.002) and to 64.4 ± 67.3 at 96 weeks (p = 0.01). The IgG index dropped from 1.1 ± 0.5 at baseline to 0.8 ± 0.4 at 48 weeks (p = 0.014) and to 0.8 ± 0.3 at 96 weeks (p = 0.02). CSF CXCL-13 decreased from 88.6 ± 68.4 pg/mL to 39.4 ± 35.2 pg/mL at 48 weeks (p = 0.037) and 19.1 ± 11.7 pg/mL at 96 weeks (p = 0.027). CSF NfL levels were reduced at 48 weeks (p = 0.01).CladT primarily depletes memory B cells and antibody-secreting cell precursors in RRMS, leading to sustained effects on intrathecal antibody production and total IgG, and a reduction in CSF CXCL-13.

Scheduling optimization of continuous climb and descent operations in busy terminal airspace

Based on the current terminal airspace structure, a method for scheduling aircraft arrival and departure that integrates trajectory optimization, conflict detection and multi-objective optimization is proposed to help implement continuous climb and descent operations in busy terminal airspace. First, based on the multi-stage optimal control theory, the Gaussian pseudo-spectral method is used to propose a vertical profile optimization method for continuous climb and descent operations, and the trajectory optimization of continuous climb and descent operations based on the cost index is realized. Secondly, according to the wake turbulence interval and release interval used by the runway, and the horizontal and vertical intervals of air operations, the Mahalanobis distance is used to establish an aircraft conflict detection model. Then, considering the demands of air traffic control, airlines, airports and other operating units, a multi-objective scheduling model and method for aircraft arrival and departure that can achieve the optimization results are proposed. Finally, two sets of arrival and departure data at Guangzhou Baiyun Airport during busy periods are selected, multiple interval parameters are set, alternative paths are introduced, and case analysis and comparative studies are carried out. The results show that during the busy period dominated by departures, the terminal airspace of Guangzhou Baiyun Airport can achieve continuous climb and descent operations during busy periods; during the busy period dominated by arrivals, two aircraft could not be dispatched. The introduction of alternative paths can reduce the number of aircraft that cannot be dispatched.

Early prediction of sudden cardiac death using multimodal fusion of ECG Features extracted from Hilbert–Huang and wavelet transforms with explainable vision transformer and CNN models

Background and Objective:Sudden cardiac death (SCD) is a critical health issue characterized by the sudden failure of heart function, often caused by ventricular fibrillation (VF). Early prediction of SCD is crucial to enable timely interventions. However, current methods predict SCD only a few minutes before its onset, limiting intervention time. This study aims to develop a deep learning-based model for the early prediction of SCD using electrocardiography (ECG) signals. Methods:A multimodal explainable deep learning-based model is developed to analyze ECG signals at discrete intervals ranging from 5 to 30 min before SCD onset. The raw ECG signals, 2D scalograms generated through wavelet transform and 2D Hilbert spectrum generated through Hilbert–Huang transform (HHT) of ECG signals were applied to multiple deep learning algorithms. For raw ECG, a combination of 1D-convolutional neural networks (1D-CNN) and long short-term memory networks were employed for feature extraction and temporal pattern recognition. Besides, to extract and analyze features from scalograms and Hilbert spectra, Vision Transformer (ViT) and 2D-CNN have been used. Results:The developed model achieved high performance, with accuracy, precision, recall and F1-score of 98.81%, 98.83%, 98.81%, and 98.81% respectively to predict SCD onset 30 min in advance. Further, the proposed model can accurately classify SCD patients and normal controls with 100% accuracy. Thus, the proposed method outperforms the existing state-of-the-art methods. Conclusions:The developed model is capable of capturing diverse patterns on ECG signals recorded at multiple discrete time intervals (at 5-minute increments from 5 min to 30 min) prior to SCD onset that could discriminate for SCD. The proposed model significantly improves early SCD prediction, providing a valuable tool for continuous ECG monitoring in high-risk patients.

Efficacy and safety of carbon fiber retrograde intramedullary nailing in tibio-talar-calcaneal fusion: a single-centre retrospective study

IntroductionTibio-talar-calcaneal (TTC) fusion is a salvage procedure designated for treating various severe hindfoot pathologies. While traditional methods have been effective, the advantage of carbon fiber (CF) retrograde intramedullary nailing (RIMN) presents a potentially superior technique. This study evaluates the efficacy and safety of CF RIMN in TTC fusion, focusing on union rates, complication rates, and patient-reported outcomes. Materials and methodsConducted as a single-center, retrospective study, this research involved 21 patients who underwent TTC with CF RIMN from 2015 to 2021. Patient selection excluded those with active infections or those needing significant bone allografts. Patient follow-up was conducted at multiple intervals postoperatively, with a minimum follow-up of 24 months, assessing for union complications and using tools like the VAS, SF12, and AOFAS for patient-reported outcomes. ResultsThe study observed a 90% union rate among patients. Complication rates included a 14% incidence of iatrogenic fractures to the anterior tibial cortex and 19% postoperative complications. Significant improvement was noted in VAS scores but not in SF12 and AOFAS scores. The use of 200 mm RIMN was identified as requiring careful consideration due to associated complications. ConclusionCF RIMN in TTC fusion demonstrates a high union rate with notable complications. The significant improvement in VAS scores indicates patient satisfaction, but the lack of statistical significance in SF12 and AOFAS scores warrants attention. The findings advocate for the cautious use of 200 mm RIMN and highlight the need for further research, suggesting prospective, multicenter studies to validate these findings and explore long-term outcomes. Level of evidenceIII.

Pharmacokinetic and Pharmacodynamic Profile of Epinephrine Nasal Spray Versus Intramuscular Epinephrine Autoinjector in Healthy Adults

BackgroundStandard of care for anaphylaxis treatment is intramuscular (IM) epinephrine. An epinephrine nasal spray (ENS) is under development as an alternative form of administration. ObjectiveTo compare the pharmacokinetic (PK) and pharmacodynamic (PD) profile of 13.2 mg ENS with 0.3 mg IM epinephrine auto-injector. MethodsData from 4 open-label phase 1 crossover studies conducted in healthy adults were pooled to determine the PK and PD profile of a single 13.2 mg ENS dose delivered by 2 consecutive sprays of 6.6 mg each in opposite (n=224 doses) or the same nostril (n=75 doses) compared with the 0.3 mg IM auto-injector (n=215 doses). Each participant served as their own control. Blood samples and vital signs were collected pre-dose and at multiple intervals from 0-360 minutes post-dose. ResultsENS rapidly increased the plasma epinephrine concentration, with levels that were overall greater than IM auto-injector. Median (range) time to maximum plasma epinephrine concentration with ENS opposite nostrils, ENS same nostril, and IM auto-injector was 25.1 (1.3, 362.1), 20.1 (3.0, 120.2), and 20.0 (1.0, 121.3) minutes, respectively. The area under the plasma concentration–time curve for 0-360 minutes was significantly higher with ENS than the IM auto-injector (geometric mean ratio [90% CI]=155% [140%, 172%] with ENS opposite nostrils, 159% [138%, 182%] with ENS same nostril). The PD effects on heart rate and blood pressure were similar in pattern and magnitude among all 3 treatment groups. ConclusionsENS rapidly achieved plasma epinephrine levels greater and more sustained than the IM auto-injector and with a similar PD effect.

Olfactory dysfunction management following unilateral cranial resection for olfactory neuroblastoma.

Despite advances in techniques for olfactory neuroblastoma (ONB), such as unilateral cranial resection, preserving the patient’s sense of smell remains a challenge. This study aimed to examine the effectiveness of post-operative olfactory training in patients who underwent unilateral resection of ONB. This retrospective cohort study assessed the effect of post-operative olfactory training on olfactory preservation in patients with ONB undergoing unilateral cranial resection. Patients were divided into training intervention (n = 5) and non-intervention (n = 6) groups. Olfactory tests were conducted pre-operatively and at multiple post-operative intervals. Partial olfactory function was preserved in all cases in the training intervention group, whereas only 17% of cases in the non-intervention group maintained partial olfactory function. Significant improvements in olfactory test scores were observed in the training intervention group compared with the non-intervention group. Our findings suggest that post-operative olfactory training could aid in olfactory preservation for patients with ONB after unilateral cranial resection. However, these results should be interpreted with caution, and further research with larger cohorts and extended follow-up periods is needed to confirm these observations.

Comparative Analysis of Bupivacaine Versus Bupivacaine with Dexmedetomidine in Caudal Block Anesthesia

Background: Postoperative pain in pediatric patients remains a critical concern, with traditional caudal blocks using bupivacaine often providing limited analgesia duration. Adding dexmedetomidine to bupivacaine may enhance analgesic effects and improve hemodynamic stability.Objective: To compare the effectiveness of bupivacaine alone versus bupivacaine combined with dexmedetomidine in caudal anesthesia for pediatric patients undergoing perurethral cystolithotripsy.Methods: A prospective cohort study was conducted on 50 pediatric patients, aged 2 months to 7 years, divided into two equal groups. Group A received caudal bupivacaine 0.25% (1 ml/kg), and Group B received caudal bupivacaine 0.25% with dexmedetomidine (1 µg/kg). Heart rate, mean arterial pressure (MAP), respiratory rate, FLACC score, and Ramsay sedation score were recorded intraoperatively and at multiple postoperative intervals. Data were analyzed using SPSS version 25, with an independent t-test and chi-square test.Results: Group B showed significantly lower mean FLACC scores (0.80 vs. 3.08 at 60 min, p=0.024) and higher sedation scores (3.60 vs. 1.60 at 60 min, p=0.000) compared to Group A. Heart rate and MAP were more stable in Group B (p&lt;0.05).Conclusion: Dexmedetomidine combined with bupivacaine provided superior analgesia and sedation with improved hemodynamic stability compared to bupivacaine alone.

Discovery of a major QTL for resistance to the guava root-knot nematode (Meloidogyne enterolobii) in ‘Tanzania’, an African landrace sweetpotato (Ipomoea batatas)

Sweetpotato, Ipomoea batatas (L.) Lam. (2n = 6x = 90), is among the world’s most important food crops and is North Carolina’s most important vegetable crop. The recent introduction of Meloidogyne enterolobii poses a significant economic threat to North Carolina’s sweetpotato industry and breeding resistance into new varieties has become a high priority for the US sweetpotato industry. Previous studies have shown that ‘Tanzania’, a released African landrace, is resistant to M. enterolobii. We screened the biparental sweetpotato mapping population, ‘Tanzania’ x ‘Beauregard’, for resistance to M. enterolobii by inoculating 246 full-sibs with 10,000 eggs each under greenhouse conditions. ‘Tanzania’, the female parent, was highly resistant, while ‘Beauregard’ was highly susceptible. Our bioassays exhibited strong skewing toward resistance for three measures of resistance: reproductive factor, eggs per gram of root tissue, and root gall severity ratings. A 1:1 segregation for resistance suggested a major gene conferred M. enterolobii resistance. Using a random-effect multiple interval mapping model, we identified a single major QTL, herein designated as qIbMe-4.1, on linkage group 4 that explained 70% of variation in resistance to M. enterolobii. This study provides a new understanding of the genetic basis of M. enterolobii resistance in sweetpotato and represents a major step towards the identification of selectable markers for nematode resistance breeding.

Ethosuximide-loaded bismuth ferrite nanoparticles as a potential drug delivery system for the treatment of epilepsy disease.

Encapsulating antiepileptic drugs (AEDs), including ethosuximide (Etho), into nanoparticles shows promise in treating epilepsy. Nanomedicine may be the most significant contributor to addressing this issue. It presents several advantages compared to traditional drug delivery methods and is currently a prominent area of focus in cancer research. Incorporating Etho into bismuth ferrite (BFO) nanoparticles within diverse controlled drug delivery systems is explored to enhance drug efficacy. This approach is primarily desired to aid in targeted drug delivery to the brain's deepest regions while limiting transplacental permeability, reducing fetal exposure, and mitigating associated adverse effects. In this investigation, we explored Etho, an antiepileptic drug commonly employed for treating absence seizures, as the active ingredient in BFO nanoparticles at varying concentrations (10 and 15 mg). Characterization of the drug-containing BFO nanoparticles involved scanning electron microscopy (SEM) and elemental analysis. The thermal properties of the drug-containing BFO nanoparticles were evaluated via differential scanning calorimetry (DSC) analysis. Cytotoxicity evaluations using the MTT assay were conducted on all nanoparticles, and human neuroblastoma cell line cultures (SH-SY5Y) were treated with each particle over multiple time intervals. Cell viability remained at 135% after 7 days when exposed to 15 mg of Etho in BFO nanoparticles. Additionally, in vitro drug release kinetics for Etho revealed sustained release lasting up to 5 hours with a drug concentration of 15 mg.

Resistance to change as a function of response speed

This study examined the effects of different response-speed requirements on resistance to change. Undergraduates were exposed to a simulated scenario aiming to destroy pollution sources by clicking on moving targets. During baseline, a multiple variable interval (VI) 15 s VI 15 s was in effect. Points (100) served as reinforcers. In the Low-Speed Component, the response button moved across the computer screen at a speed of 30 % of the screen length per second. In the High-Speed Component, the response button moved across the computer screen at a speed of 60 % of the screen length per second. A VI 10 s of point loss (-95) disrupted responding during the test. Behavioral resistance was calculated as proportional changes from baseline response rates to test response rates. When the point-loss disrupted responding, greater resistance was observed in the Low-Speed Component, corroborating previous studies with other dimensions of physical requirements.

Refining Estimation of the Instantaneous Reproduction Number During Early Pandemic Stages: Addressing Case-Reporting Variability and Serial Interval Uncertainty.

During infectious disease outbreaks, estimates for the instantaneous reproduction number, R(t), are essential for understanding transmission dynamics. This study develops and analyzes new methodology to improve estimation of R(t) when observed case counts are subject to reporting patterns and available serial interval estimates are subject to uncertainty and non-representativeness. Specifically, we developed a Bayesian time-since-infection model with layers to adjust for reporting measurement error, integrate multiple candidate serial interval estimates, and estimate transmission with an autoregressive time-series model incorporating factors relevant to transmission. Additionally, we provide practical tools to identify reporting patterns and determine when to smooth case counts for more usable R(t) estimates. We evaluated model performance relative to widely adopted methodology by simulating outbreak data, finding improved R(t) estimation with the proposed methodology. We also used 2020 COVID-19 data to analyze transmission trends and predictors, identifying strong day-of-week and social distancing effects that subsequently reduced estimate volatility. In addition to new approaches for addressing serial interval uncertainty and incorporating transmission predictor information, this study provides an alternative approach for addressing case-reporting patterns without delaying detection or smoothing over relevant transmission signals. These tools and findings may be used or built upon for current and future outbreaks.