Changes In Patterns Research Articles

Are longitudinal changes in sleep patterns associated with future cardiovascular disease risk?

Are longitudinal changes in sleep patterns associated with future cardiovascular disease risk?

Assessment of secular trends of three major gynecologic cancers burden and attributable risk factors from 1990 to 2019: an age period cohort analysis.

This study aims to assess the long-term trends in the burden of three major gynecologic cancers(GCs) stratified by social-demographic status across the world from 1990 to 2019. To assess the trends of risk factor attributed mortality, and to examine the specific effects of age, period, cohort behind them in different regions. We extracted data on the mortality, disability-adjusted life years(DALYs), and age-standardized rates(ASRs) of cervical cancer(CC), uterine cancer(UC), and ovarian cancer(OC) related to risks from 1990 to 2019, as GCs burden measures. Age-period-cohort analysis was used to analyze trends in attributable mortality rates. The number of deaths and DALYs for CC, UC and OC increased since 1990 worldwide, while the ASDRs decreased. Regionally, the ASDR of CC was the highest in low SDI region at 15.05(11.92, 18.46) per 100,000 in 2019, while the ASDRs of UC and OC were highest in high SDI region at 2.52(2.32,2.64), and 5.67(5.16,6.09). The risk of CC death caused by unsafe sex increased with age and then gradually stabilized, with regional differences. The period effect of CC death attributed to smoking showed a downward trend. The cohort effect of UC death attributed to high BMI decreased in each region, especially in the early period in middle, low-middle and low SDI areas. Global secular trends of attributed mortality for the three GCs and their age, period, and cohort effects may reflect the diagnosis and treatment progress, rapid socioeconomic transitions, concomitant changes in lifestyle and behavioral patterns in different developing regions. Prevention and controllable measures should be carried out according to the epidemic status in different countries, raising awareness of risk factors to reduce future burden.

Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.

In the near future, the incidence of mosquito-borne diseases may expand to new sites due to changes in temperature and rainfall patterns caused by climate change. Therefore, there is a need to use recent technological advances to improve vector surveillance methodologies. Unoccupied Aerial Vehicles (UAVs), often called drones, have been used to collect high-resolution imagery to map detailed information on mosquito habitats and direct control measures to specific areas. Supervised classification approaches have been largely used to automatically detect vector habitats. However, manual data labelling for model training limits their use for rapid responses. Open-source foundation models such as the Meta AI Segment Anything Model (SAM) can facilitate the manual digitalization of high-resolution images. This pre-trained model can assist in extracting features of interest in a diverse range of images. Here, we evaluated the performance of SAM through the Samgeo package, a Python-based wrapper for geospatial data, as it has not been applied to analyse remote sensing images for epidemiological studies. We tested the identification of two land cover classes of interest: water bodies and human settlements, using different UAV acquired imagery across five malaria-endemic areas in Africa, South America, and Southeast Asia. We employed manually placed point prompts and text prompts associated with specific classes of interest to guide the image segmentation and assessed the performance in the different geographic contexts. An average Dice coefficient value of 0.67 was obtained for buildings segmentation and 0.73 for water bodies using point prompts. Regarding the use of text prompts, the highest Dice coefficient value reached 0.72 for buildings and 0.70 for water bodies. Nevertheless, the performance was closely dependent on each object, landscape characteristics and selected words, resulting in varying performance. Recent models such as SAM can potentially assist manual digitalization of imagery by vector control programs, quickly identifying key features when surveying an area of interest. However, accurate segmentation still requires user-provided manual prompts and corrections to obtain precise segmentation. Further evaluations are necessary, especially for applications in rural areas.

The Rohingya refugee crisis in Bangladesh: assessing the impact on land use patterns and land surface temperature using machine learning.

Bangladesh, a third-world country with the seventh highest population density in the world, has always struggled to ensure its residents' basic needs. But in recent years, the country is going through a serious humanitarian and financial crisis that has been imposed by the neighboring country Myanmar which has forced the government to shelter almost a million Rohingya refugees in less than 3years (2017-2020). The government had no other option but to acquire almost 24.1 km2 of forest areas only to construct refugee camps for the Rohingyas which has led to catastrophic environmental outcomes. This study has analyzed the land use and land surface temperature pattern change of the Rohingya camp area for the course of 1997 to 2022 with a 5-year interval rate. Future prediction of the land use and temperature of Teknaf and Ukhiya was also done in this process using a machine learning algorithm for the years 2028 and 2034. The analysis says that in the camp area, from 1997 to 2017, percentage of settlements increased from 5.28 to 11.91% but in 2022, it reached 70.09%. The same drastically changing trend has also been observed in the land surface temperature analysis. In the month of January, the average temperature increased from 18.86 to 21.31°C between 1997 and 2017. But in 2022. it was found that the average temperature had increased up to 25.94°C in only a blink of an eye. The future prediction of land use also does not have anything pleasing in store.

Effects of mobile music listening: Patterns of changes in focus of attention, environmental perception, and self-experience

Effects of mobile music listening: Patterns of changes in focus of attention, environmental perception, and self-experience

Metabolomics reveals metabolites associated with hair follicle cycle in cashmere goats.

The hair follicle is a skin accessory organ that regulates hair development, and its activity varies on a regular basis. However, the significance of metabolites in the hair follicle cycle has long been unknown. Targeted metabolomics was used in this investigation to reveal the expression patterns of 1903 metabolites in cashmere goat skin during anagen to telogen. A statistical analysis was used to investigate the potential associations between metabolites and the hair follicle cycle. The findings revealed clear changes in the expression patterns of metabolites at various phases and in various feeding models. The majority of metabolites (primarily amino acids, nucleotides, their metabolites, and lipids) showed downregulated expression from anagen (An) to telogen (Tn), which was associated with gene expression, protein synthesis and transport, and cell structure, which reflected, to some extent, that the cells associated with hair follicle development are active in An and apoptotic in An-Tn. It is worth mentioning that the expression of vitamin D3 and 3,3',5-triiodo-L-thyronine decreased and then increased, which may be related to the shorter and longer duration of outdoor light, which may stimulate the hair follicle to transition from An to catagen (Cn). In the comparison of different hair follicle development stages (An, Cn, and Tn) or feeding modes (grazing and barn feeding), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that common differentially expressed metabolites (DEMs) (2'-deoxyadenosine, L-valine, 2'-deoxyuridine, riboflavin, cytidine, deoxyguanosine, L-tryptophan, and guanosine-5'-monophosphate) were enriched in ABC transporters. This finding suggested that this pathway may be involved in the hair follicle cycle. Among these DEMs, riboflavin is absorbed from food, and the expression of riboflavin and sugars (D-glucose and glycogen) in skin tissue under grazing was greater and lower than that during barn feeding, respectively, suggesting that eating patterns may also alter the hair follicle cycle. The expression patterns of metabolites such as sugars, lipids, amino acids, and nucleotides in skin tissue affect hair follicle growth, in which 2'-deoxyadenosine, L-valine, 2'-deoxyuridine, riboflavin, cytidine, deoxyguanosine, L-tryptophan, and guanosine-5'-monophosphate may regulate the hair follicle cycle by participating in ABC transporters. Feeding practices may regulate hair follicle cycles by influencing the amount of hormones and vitamins expressed in the skin of cashmere goats.

Effects of flavoring additives on feed intake, growth performance, temperament and markers of immune function for newly received feedlot cattle.

Ninety Angus × Hereford steers (259.9 ± 36.18kg body weight (BW)), were used in a 56-d experiment to assess the effects of flavoring additives on feed intake, and stress and immune response of newly received feedlot cattle. Steers were homogenously distributed by BW into six pens equipped with an individual feed intake monitoring system, and pen was randomly assigned to one of three treatments (15 head/pen; 30 head/treatment): a standard feedlot receiving diet (CT), or the same diet with a flavoring additive comprised of either sweeteners (Luctarom Feedlot, SW) or a mix of basic tastes (Luctarom Feedlot Mix, MX) at 1kg/mT. Pens were equipped with a feed intake monitoring system, while BW, chute behavior, flight speed, blood and saliva samples were collected bi-weekly, and hair samples collected at 4-week intervals during the study. Data were analyzed using a mixed-effects model for a pen study using individual animal records with repeated measures. There was a treatment × week interaction (P < 0.01) where meal duration was greater in SW steers than MX and CT on wk 3, and than CT on wk 7 and 8. A trend for treatment × week interaction (P = 0.06) showed that the number of visits per day tended to be greater in SW than MX steers on wk 4 and 5, and it tended to be greater in SW than MX and CT on wk 5. The concentration of IL-6 was greater (P <0.01) on d 1 and 28 than on d 14. The IgM concentration was greater (P < 0.01) on d 1 compared to d 14, 28 and 56. The concentration of haptoglobin was greater (P < 0.01) on 14 than d 28, 42 and 56, and it was greater (P < 0.01) on d 1 than d 42 and 56. The concentration of serum amyloid A was greater (P < 0.01) on d 1 compared to the rest of sampling days. Fibrinogen concentration was greater (P < 0.01) on d 1 compared to d 14 and 42. The neutrophil-to-lymphocyte ratio was greater (P < 0.01) on d 42 and 56 compared to d 1 and 28, and greater (P < 0.01) on d 14 compared to d 28. Hair and saliva cortisol concentration were lower (P < 0.01) on d 56 compared to d 1 and 28, respectively. The use of flavoring additives, particularly when based on sweeteners (SW), caused some changes in the feeding pattern of newly received steers. These changes, however, were not consistent over the 56-d feeding period and were not accompanied by a change in growth performance, temperament, biomarkers of stress, inflammation, or immune function.

Analytical study of soliton dynamics in the realm of fractional extended shallow water wave equations

In this study, we use the Khater Method (KM) as an efficient analytical tool to solve (3+1)-dimensional fractional extended shallow water wave equations (FESWWEs) with conformable derivatives. The KM transforms fractional partial differential equations to ordinary differential equations (ODEs) via strategic variable transformation. Then, series-form solutions to these ODEs are proposed, which turn them into nonlinear algebraic systems. The solution to this set of algebraic equations yields shock travelling wave solutions expressed in hyperbolic, trigonometric, exponential, and rational functions. The study’s findings are corroborated by 2D, 3D, and contour graphs that show the changing patterns of the detected shock travelling waves. These findings have important significance for the discipline, offering vital insights into the intricate dynamics of FESWWEs. The effectiveness of KM is demonstrated by its capacity to produce varied solutions and contribute to a thorough knowledge of such complex phenomena.

Role of histone modifications in neurogenesis and neurodegenerative disease development.

Progressive neuronal dysfunction and death are key features of neurodegenerative diseases; therefore, promoting neurogenesis in neurodegenerative diseases is crucial. With advancements in proteomics and high-throughput sequencing technology, it has been demonstrated that histone post-transcriptional modifications (PTMs) are often altered during neurogenesis when the brain is affected by disease or external stimuli and that the degree of histone modification is closely associated with the development of neurodegenerative diseases. This review aimed to show the regulatory role of histone modifications in neurogenesis and neurodegenerative diseases by discussing the changing patterns and functional significance of histone modifications, including histone methylation, acetylation, ubiquitination, phosphorylation, and lactylation. Finally, we explored the control of neurogenesis and the development of neurodegenerative diseases by artificially modulating histone modifications.

Short-term meditation training alters brain activity and sympathetic responses at rest, but not during meditation

Although more people are engaging in meditation practices that require specialized training, few studies address the issues associated with nervous activity pattern changes brought about by such training. For beginners, it remains unclear how much practice is needed before objective physiological changes can be detected, whether or not they are similar across the novices and what are the optimal strategies to track these changes. To clarify these questions we recruited individuals with no prior meditation experience. The experimental group underwent an eight-week Taoist meditation course administered by a professional, while the control group listened to audiobooks. Both groups participated in audio-guided, 34-min long meditation sessions before and after the 8-week long intervention. Their EEG, photoplethysmogram, respiration, and skin conductance were recorded during the mediation and resting state periods. Compared to the control group, the experimental group exhibited band-specific topically organized changes of the resting state brain activity and heart rate variability associated with sympathetic system activation. Importantly, no significant changes were found during the meditation process prior and post the 8-week training in either of the groups. The absence of notable changes in CNS and ANS activity indicators during meditation sessions, for both the experimental and control groups, casts doubt on the effectiveness of wearable biofeedback devices in meditation practice. This finding redirects focus to the importance of monitoring resting state activity to evaluate progress in beginner meditators. Also, 16 h of training is not enough for forming individual objectively different strategies manifested during the meditation sessions. Our results contributed to the development of tools to objectively monitor the progress in novice meditators and the choice of the relevant monitoring strategies. According to our findings, in order to track early changes brought about by the meditation practice it is preferable to monitor brain activity outside the actual meditation sessions.

Study of ecosystem service functions in typical receiving areas of the South-to-North Water Diversion Central Route based on a set of long time series.

Hebi is located in the northern part of China's Henan Province and is a typical receiving area for China's South-to-North Water Diversion Project. The assessment of habitat quality and water yield over a long time series is important for evaluating the stability of ecosystem services in Hebi and other receiving areas and for maintaining ecological security and promoting sustainable development. This paper aims to evaluate and dynamically analyse habitat quality and water yield in Hebi, and analyses the characteristics of changes in spatial and temporal patterns of land cover types, habitat quality and water yield in Hebi over the past 20 years, using 2000, 2005, 2010, 2015 and 2020 as horizontal years. The results indicate that: (1) During the study period, the overall land use type in Hebi City has been constantly changing, with the most significant conversion from arable land to other land types; combined with its landscape pattern index, Hebi City has a general characteristic of significant landscape fragmentation and complexity in land use. (2) Habitat quality in Hebi shows an overall trend towards better development, with water availability decreasing and then increasing; the zoning of ecosystem services in Hebi is divided into three classes: superior, good and general, with the area covered by the superior and general classes expanding year by year. (3) Correlation analysis by SPSS software shows that the correlation between habitat quality and landscape pattern index is greater than the correlation between habitat quality and climate change. Additionally, the correlation between water availability and climate change is greater than the correlation between water availability and landscape pattern index.

Awareness of Proton Pump Inhibitor Adverse Events and Treatment Pattern Change According to Physician Practice: A National Questionnaire Study in Korea

Although adverse events of proton pump inhibitors (PPIs) have been reported, there are few studies on physicians’ perceptions. We aimed to investigate physicians’ awareness of PPI-related adverse events and changes in treatment patterns according to their practice. We conducted an online survey of physicians using a 15-item questionnaire. The survey queried respondents’ demographic information, PPI prescription patterns, perceptions, and concerns on the reported PPI-related adverse events. Concerns regarding the adverse events of PPI were assessed by dividing them into possibilities and medical causality. Of the 450 respondents, 430 were specialists, and 232 were gastroenterologists. A total of 87.8% of the respondents were generally or well aware of the adverse effects of PPI, 29.1% considered side effects when prescribing PPI, and 14.6% explained them to patients. Specialists were more aware of the side effects of PPI than general practitioners (p = 0.005), and gastroenterologists were more aware of the side effects of PPI than non-gastroenterologists (p &lt; 0.001). However, gastroenterologists explained less to patients (p = 0.001) and preferred to reduce the dose of PPI rather than discontinue it. The adverse events that were recognized as having the highest probability of occurrence and strongest association with PPI use were bone diseases, Clostridium difficile infection, gastrointestinal infection, pneumonia, and interactions with anti-thrombotic drugs. Physicians’ awareness of PPI-related adverse events and treatment patterns differed significantly according to their positions and practice. Although a number of adverse events of PPIs were reported, physicians seem to accept their significance differently according to their specialty and practice patterns.

잠재성장모형(LGM)을 이용한 중학생의 자아개념이 창의성과 학습동기에 미치는 영향 종단분석

Objectives This study sought to find ways to improve policies through a longitudinal analysis of the impact of middle school students' self-concept on creativity and learning motivation using the latent growth model (LGM). Methods For this purpose, data on middle school students from the 2nd to 4th years (2019-2021, Panel 2) of the Jeonnam Education Longitudinal Study (JELS) were used for analysis, and self-concept was selected as an independent variable and creativity and learning motivation were selected as dependent variables in the potential growth model. This panel data (JELS) is a 10-year follow-up survey targeting 2,199 students (Panel 1) in 4th grade elementary school from 2018 and 2,549 students in 1st middle school (Panel 2) from 2019. Among the data (Panel 2) for a total of 75 schools, including 58 general middle school schools and 13 innovative schools, starting in 2019, 1,625 students, excluding missing values, were analyzed as final data. Results The main research results are as follows. First, the average self-concept, creativity, and learning motivation of middle school students was around 3 points for self-concept and creativity, and around 2 points for learning motivation, with learning motivation being the lowest. Second, there was a positive correlation between each variable. Third, middle school students' self-concept, creativity, and learning motivation showed a gradual decrease in change over time, and there were individual differences in the initial values of each variable. Fourth, self-concept and creativity showed group differences in initial values depending on gender, but the differences disappeared over time. It is predicted that there will be individual and group differences in learning motivation both at the initial value and over time. Fifth, the initial value and rate of change of self-concept only had a direct effect on the initial value and rate of change of creativity, and the initial value and rate of change of creativity only had a direct effect on the rate of change of learning motivation. Sixth, the initial value and rate of change of creativity had a positive mediating effect on the initial value and rate of change of self-concept and the initial value and rate of change of learning motivation. Learning motivation, which is essential for academic achievement, is highly correlated with and greatly influenced by self-concept and creativity, and the pattern of change shows a trajectory of gradual decline over time. Conclusions Therefore, it is believed that creativity and learning motivation will improve if self-concept is established and improved.

Future Projections of Precipitation Extremes for Greece Based on an Ensemble of High-Resolution Regional Climate Model Simulations

Future Projections of Precipitation Extremes for Greece Based on an Ensemble of High-Resolution Regional Climate Model Simulations

Spatiotemporal changes and drivers of ecological security based on an improved ecological footprint model: The case of Hubei Province, China

Abstract The increasing contradiction between resource supply and demand has brought ecological security (ES) to the forefront. Research on the changes of ES pattern and their driving factors is crucial for coordinating the regional ecological and economic development. Hubei Province in China exhibits uneven distribution of resources and a fragile ecological environment. In this study, an improved ecological footprint (EF) model was employed to analyze the changes in the ES pattern of Hubei Province. And the logarithmic mean Divisia index (LMDI) model was introduced to analyze the corresponding driving factors. The results showed that (1) from 2000 to 2020, the ecological footprint per capita (ef), the ecological carrying capacity per capita (ecc), and the ecological deficit per capita (ed) of Hubei Province increased by 47.11%, 2.71%, and 51.72%, respectively. In 2020, the cities in the province were in a state of ecological deficit (ED), and the spatial distribution was "high in the central part of the province and low in the east and west". (2) Each ef type showed an increasing trend. The increase in ef mostly came from the increase in fisheries ef, fossil energy ef and cropland ef, with a contribution of 76.70%. The increase in ecc is mainly due to the increase in freshwater ecc, with a contribution of 274.87%. (3) The ecological pressure in the province continued to rise and has been in a state of being completely unsafe. The efficiency of ecological resource use has increased, and the ecological structure tends to be rationalized, but the ecological-economic coordination has weakened. (4) The overall EF growth in the province is mostly driven by economic, population and footprint structure factors, while footprint intensity suppresses EF growth. Therefore, it's advised to boost investment in eco-friendly tech, foster green economy growth, and prioritize renewable energy development. This study can provide a reference basis for policy formulation on environmental sustainability and ecosystem management.

Differences in daily physical activity by Alzheimer's risk markers among older adults.

Daily physical activity patterns differ by Alzheimer's disease (AD) status and might signal cognitive risk. It is critical to understand whether patterns are disrupted early in the AD pathological process. Yet, whether established AD risk markers (β-amyloid (Aβ) or APOE-ε4) are associated with differences in objectively measured activity patterns among cognitively unimpaired older adults is unclear. Wrist accelerometry, brain Aβ (+/-), and APOE-ε4 genotype were collected in 106 (Aβ) and 472 (APOE-ε4) participants [mean age 76 (SD: 8.5) or 75 (SD: 9.2) years, 60% or 58% women] in the BLSA. Adjusted linear and function-on-scalar regression models examined whether Aβ or APOE-ε4 status was cross-sectionally associated with activity patterns (amount, variability, or fragmentation) overall and by time-of-day, respectively. Differences in activity patterns by combinations of Aβ and APOE-ε4 status were descriptively examined (n=105). There were no differences in any activity pattern by Aβ or APOE-ε4 status overall. Aβ+ was associated with lower total amount and lower within-day variability of physical activity overnight and early evening, and APOE-ε4 carriers had higher total amount of activity in the evening and lower within-day variability of activity in the morning. Diurnal curves of activity were blunted among those with Aβ+ regardless of APOE-ε4 status, but only when including older adults with MCI/dementia. Aβ+ in cognitively unimpaired older adults might manifest as lower amount and variability of daily physical activity, particularly during overnight/evening hours. Future research is needed to examine changes in activity patterns in larger samples and by other AD biomarkers.

Особенности гормональной регуляции индуцированного полового цикла овцематок

The purpose of the study is to identify patterns of changes in the content of progesterone, FSH, LH and free estriol under various options for inducing the reproductive cycle of ewes with hormonal drugs. Objectives: during the period of spring anaphrodisia, to stimulate sexual oestrus in ewes using a double injection of estrofan; during the same period, to stimulate sexual estrus in ewes according to the follimag-progestamag, surfagon scheme; to study the nature of changes in the content of sex hormones in the blood serum of ewes during the implementation of the specified schemes for stimulating sexual heat; to identify the pattern of dynamics of sex hormones in ewes during an induced sexual cycle. The study was conducted in the Orenburg Region in April 2022 on Romanov breed ewes. Three groups of ewes of 12 heads each were formed. The age of the sheep is 3–5 years, live weight is 30–35 kg. The experiment was carried out against the background of fortification of sheep with E-selenium. In groups I (control) and II, animals were administered E-selenium on the 1st and 11th days of the experiment, in group III – on the 1st and 8th days. Hormonal stimulants were not used in the control; in group II, sheep were administered estrofan on days 1 and 11 and surfagon on the 13th day of the experiment; in group III, follimag was used on the 1st day, progestamag and surfagon on the 8th day. To determine the hormone content, blood was taken from the jugular vein from all animals on the 1st, 8th, 11th, 13th, and 14th days of the experiment. When stimulating sexual heat in ewes during seasonal anaphrodisia, the most pronounced hormonal response was obtained using injections of follimag and progestamag with surfagon at weekly intervals. When using this regimen, the levels of free estriol and LH reached their maximum values by the 11th day from the start of stimulation, creating optimal conditions for ovulation. After stimulating sexual heat in ewes, it is advisable to begin mating or insemination on the 10th–11th day.

Unveiling COVID-19’s Influence on Diet-Related Lifestyle: Insights from Google Trends Query Volumes

Aim: This study aimed to showcase the particular lifestyle and behavioural pattern changes during the pandemic using Google Trends (GT). Background: The pandemic hit by the Coronavirus Disease 2019 (COVID-19) globally has brought basic living into the context of surprise. Since the lockdown and social restrictions, the population has faced many changes in their daily routine. objective: To demonstrate how COVID-19 affects eating habits and lifestyle in India. Objective: The purpose of the study was to demonstrate how COVID-19 has affected eating habits and lifestyle in India. Method: A retrospective analysis was carried out with the aid of Google Trend Relative Search Volume (RSV) data obtained for interest areas, such as COVID-19 cases, symptoms, preference of medicines, choice of nutrients, reduced physical activity, and watching varied Over-the-top media service (OTT) platforms as the source of entertainment; these were the variables that were taken into consideration to derive correlation coefficient values. Results: There was a strong positive correlation found between zinc and vitamin C, zinc and vitamin D, and vitamin C and D, which was 0.83, 0.78, and 0.72, respectively. Symmetrical observation has been observed in Netflix and Amazon Prime as 0.81; a notable negative correlation was found between COVID-19 and gym as -0.32. Conclusion: This study can be used as a checkpoint list for future predictions and past timelines and how they have a cohabitant role in the spread of the epidemic and its line of mitigation strategies. other: NIL

A decade of change and stability for fin whale song in the North Atlantic

Fin whale song is a ubiquitous low-frequency pulsing that has been recorded in every ocean basin. In recent years, the complexity of fin whale song has been realized. In the North Atlantic, this song is made up of two low-frequency note types (A and B notes) and one higher-frequency note type (upsweeps). The A and B notes are produced with both singlet and doublet inter-note intervals. These song patterns are interwoven throughout an individual’s song and have been observed to shift over time, both gradually and suddenly. Like many baleen whales, the population size of fin whales is poorly defined. Passive acoustic monitoring has been suggested as a way to estimate abundance if a cue rate or calling rate can be determined. In this study, we used recordings from 119 fin whale tracks from 2013–2023 generated from passive acoustic recorders in the North Atlantic to define fin whale song patterns in this ocean basin, identify changes in these song patterns over time, and calculate cue rates. The fin whales recorded sang in 4 distinct patterns. Inter-note intervals were 25 s for A-A singlets, 13 s for B-B singlets, 12/20 s for B-B doublets, and 10/11 s for A-B doublets. B-B doublet inter-note intervals significantly increased from May 2019–April 2023 and A-B inter-note intervals showed an intra-annual increasing trend that reset each summer. Fin whale song in the North Atlantic also often includes higher frequency upsweep notes immediately prior to B notes. While A and B note peak frequency was steady over these years, upsweep peak frequency significantly decreased, continuing a similar trend that has been observed over 30 years. Despite these changes, the dominant song pattern remained consistent and cue rate for actively singing whales was relatively stable, which is in contrast to patterns observed in the North Pacific. Many of these nuances in fin whale singing behavior are newly described herein, and these findings are vital for monitoring baseline behavior, behavioral trends over time, and ultimately estimating abundance of a poorly understood species.

Numerical investigation on dynamic characteristics of oil-water annular flow-induced vibration in curved pipes

To improve the stability of water-lubricated transportation and reliability of pipes in service, the fluid–structure interaction numerical model has been established to investigate the dynamic characteristics of oil-water annular flow-induced vibration in curved pipes and the effect of main parameters in this study. The results illustrate that a single vibration mode of curved pipes is excited by oil-water annular flow, and there exists no multi-modality due to the limited pulsation of pressure and interface of two-phase flow. The change of velocities and oil-water ratios leads to change of flow pattern, making the dynamic response severer. When the oil-water ratio is larger than 2.035, its effect is greater than velocity. The physical properties of oil have a significant effect on the dynamic response. The root-mean-square dimensionless displacement AY,RMS/D and maximum dimensionless displacement AY,MAX/D of fuel oil-water annular flow-induced vibration decrease to 75.6% and 76.5% respectively, which means that the increase of dynamic viscosity reduces the fluid force and suppresses the vibration. AY,RMS/D and AY,MAX/D increases by 1.62 times when the bending angle θ increases from 30° to 90°, indicating that the increase of bending angles also leads to the severer dynamic response.