Time Index Research Articles

VITAMIN D AND INDICATORS OF AMBULATORY BLOOD PRESSURE MONITORING IN WOMEN WITH ARTERIAL HYPERTENSION IN THE EARLY POSTMENOPAUSAL PERIOD

Objective: To assess plasma 25(OH)D levels and indicators of ambulatory blood pressure monitoring (ABPM) in women with arterial hypertension (AH) stage II risk 3 in the early postmenopausal period. Design and method: We investigated 52 women with AH stage II risk 3 aged 52 (50; 54) years of age who are in the early postmenopausal period - group I. Serum level of 25(OH)D was determined by the immunoenzymatic assay. The level of 25(OH)D in the blood plasma was determined by enzyme immunoassay. In group I we identified subgroup IB (n=21) with vitamin D deficiency/insufficiency - level of 25(OH)D<30ng/ml and subgroup IA (n=31) without vitamin D deficiency. ABPM was carried out with a Watch BP 03. Statistical analysis was performed by means of «STATISTICA 10.0». Results: The level of 25(OH)D was lower (p<0,05) in subgroup IB (18,2±9,5 ng/ml) than in the comparable to subgroup IA (27,4±10,5 ng/ml). In subgroup IB, compared with subgroup IA, the values of mean night diastolic (DBP) were higher (p<0,05) (73,0 (69,0;79,0) mm Hg versus 68,8±7,4 mm Hg), time index (TI) DBP at night (14,3 (12,5; 33,4)%, versus 12.5 (0,0;12,5)%,), speed of morning rise DBP (16,5(11,0;22,0) mm Hg/hour versus 10,0(8,5;17,3) mm Hg/hour), systolic variability (SBP) during the day (36,0(29,0;43,0) mm Hg versus 25,0(22,0; 38,0) mmHg). TI DBP at night exceeded the threshold value in 42,9% of women in subgroup IB versus 17,2% (p< 0,05) of subjects in subgroup IA. Morning rise speed DBP in subgroup IB did not correspond to the norm in 81% of cases compared to subgroup IA – 37,9% (p = 0,004). Inverse moderate correlations were established in subgroup IB between the level of 25(OH)D in the blood plasma and a number of ABPM indicators: average night SBP (R =-0,37, p=0,004), TI SBP night (R=-0,42, p=0,04), average night DBP (R=-0,43, p=0,03), TI DBP night (R=-0,39, p=0,05). Conclusions: In women with AH stage II risk 3 in the early postmenopausal period, with a deficiency/insufficiency of the level of 25(OH)D in the blood plasma, excess of a number of ABPM indicators was more common than with its optimal level.

Superluminal propagation of surface plasmon polaritons via hybrid chiral quantum dots system

We present a novel methodology for enhancing superluminal surface plasmon polaritons (SPPs) propagations within a hybrid nanostructure configuration consisting of gold (Au) metal and chiral quantum dots (CQDs) medium. The arrangement of CQDs and metal hybrid nanostructures enables the production of SPPs when exposed to incident light. The resonances of SPPs within a hybrid nanostructure are determined through analytical calculations using Maxwell’s equations under specified boundary conditions, while the dynamics of the CQDs system are calculated using the density matrix approach. It is demonstrated that the propagation of SPPs is significantly influenced by both right-circularly polarized (RCP) and left-circularly polarized (LCP) SPPs. Additionally, we investigate the enhancement of superluminal SPPs propagation by varying the electron tunneling strength and the intensity of the control field within the hybrid system. The characteristics of RCP and LCP SPPs have been investigated, indicating a large negative group index and advancement in time. The observation of a large negative group index and advancement in time provides strong evidence for enhanced superluminal SPPs propagation within the proposed hybrid nanostructure. The results have potential applications in the fields of optical information processing, temporal cloaking, quantum communication, and the advancement of computer chip speed.

Employing the Coupled EUHFORIA‐OpenGGCM Model to Predict CME Geoeffectiveness

AbstractEUropean Heliospheric FORecasting Information Asset (EUHFORIA) is a physics‐based data‐driven solar wind and coronal mass ejections (CMEs) propagation model designed for space weather forecasting and event analysis investigations. Although EUHFORIA can predict the solar wind plasma and magnetic field properties at Earth, it is not equipped to quantify the geo‐effectiveness of the solar transients in terms of geomagnetic indices like the disturbance storm time (Dst) index and the auroral indices, that quantify the impact of the magnetized plasma encounters on Earth's magnetosphere. Therefore, we couple EUHFORIA with the Open Geospace General Circulation Model (OpenGGCM), a magnetohydrodynamic model of the response of Earth's magnetosphere, ionosphere, and thermosphere to transient solar wind characteristics. In this coupling, OpenGGCM is driven by the solar wind and interplanetary magnetic field obtained from EUHFORIA simulations to produce the magnetospheric and ionospheric response to the CMEs. This coupling is validated with two observed geo‐effective CME events driven with the spheromak flux‐rope CME model. We compare these simulation results with the indices obtained from OpenGGCM simulations driven by the measured solar wind data from spacecraft. We further employ the dynamic time warping (DTW) technique to assess the model performance in predicting Dst. The main highlight of this study is to use EUHFORIA simulated time series to predict the Dst and auroral indices 1–2 days in advance, as compared to using the observed solar wind data at L1, which only provides predictions 1–2 hr before the actual impact.

A cross-sectional study of sleep quality in urban and rural adolescents with reference to their digital exposure

Abstract Background: With the widespread use of digital devices and increased screen time among adolescents, concerns have arisen regarding its potential impact on sleep quality. This study aims to investigate the correlation between excessive screen time and Pittsburgh Sleep Quality Index (PSQI) global scores in adolescents. Materials and Methods: A cross-sectional study was conducted among 167 adolescents aged 10–19 years residing in rural and urban areas. Participants completed self-report questionnaires evaluating their screen time habits and sleep quality using the PSQI. Excessive screen time was defined as more than 2 h per day of exposure to digital screens, and an abnormal PSQI global score was defined as more than 5. Statistical analyses, including unpaired t test, Spearman’s correlation, and chi-square test, were employed to examine the association between excessive screen time and PSQI global scores. Results: The results revealed a significant positive correlation between excessive screen time and abnormal PSQI scores in adolescents (r = 0.623, P < 0.001). Adolescents reporting excessive screen time were significantly more prone to abnormal PSQI scores compared to those with lower screen time (P < 0.0001, t = 9.63, degree of freedom = 165). Conclusion: This study highlights a correlation between excessive screen time and abnormal sleep quality in adolescents, as assessed by the PSQI. These findings underscore the importance of promoting healthy screen time habits among adolescents to mitigate potential adverse effects on their sleep quality and overall health. Further research is needed to explore the mechanisms underlying this relationship and to develop effective interventions to address this issue.

The Protective Role of Resilience on Cardiovascular Health in Young Adults Exposed to Adverse Childhood Experiences

Background: Adverse childhood experiences (ACEs) are strong emotional or physical stressors that occur during sensitive developmental periods and are associated with reduced cardiovascular health (CVH). Resilience, or the psychological capacity of individuals to cope with adversity, has been recently shown to have a positive influence on CVH. Despite the dose-dependent detrimental impact of ACEs on CVH, it is unknown whether resilience exerts a protective cardiovascular effect against early stress. Thus, the purpose of this study was to investigate the impact that resilience may have on CVH in young adults who experienced ACEs. Methods: Eighteen young and apparently healthy adults (22±3 yo) with a history of severe ACE exposure (≥4) participated in this study and provided self-reported data about resilience. CVH was assessed non-invasively through transcutaneous arterial tonometry to evaluate arterial stiffness (pulse-wave velocity, PWV), myocardial oxygen demand (Systolic Pressure Time Index, SPTI), myocardial oxygen supply (Diastolic Pressure Time Index, DPTI) and myocardial perfusion (Subendocardial Viability Ratio, SEVR). Circulating biomarkers related to CVH were also evaluated (high-sensitive C-reactive protein, hsCRP). Results: Eleven participants reported high resilience (HR: resilience score≥95), while seven reported low resilience (LR: resilience score<95). Young adults with high resilience presented with a significantly lower myocardial oxygen demand (SPTI; HR: 1866±111 vs. LR: 2227±117mmHg·s/min, p=0.047) and higher myocardial perfusion (SEVR; HR: 168±13 vs.LR: 127 ±9% , p=0.034) than those with low resilience and a positive association between SEVR and resilience was identified ( r=0.492; p=0.045). No differences in myocardial oxygen supply ( p=0.225) or arterial stiffness ( p=0.614) were observed between groups. However, circulating hsCRP was also significantly lower in the HR group than the LR (0.89±0.3 vs. 2.96±1 mg/dL, p=0.041) and negatively associated with resilience ( r=-0.511; p=0.051). Conclusions: Our data suggests that, among young and apparently healthy adults exposed to childhood adversity, those who are psychologically more resilient exhibit higher myocardial perfusion and overall better CVH than those less resilient despite a history of severe ACEs. These findings suggest that resilience may protect, at least partially, against the early impact of ACEs on CVH. Future studies are thus warranted to further explore the relationship between resilience and CVH. Supported in part by the Child Health Research Institute at VCU. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Hibernating at High Temperatures Increases Variability in Arousal Dynamics

In the winter, and presumably due to low resource availability, many mammals enter into a state of torpor wherein body temperature approaches that of ambient temperature and oxygen consumption rates can be as low as 1/100th of active rates. The canonical hibernation season is not static. Rather periods of torpor are interrupted by predictable periods of euthermy called interbout arousals which allows for a resetting of homeostatic processes. Here, we exposed golden-mantled ground squirrels to a range of ambient temperatures including high temperatures (4, 12, 20, 25, and 30°C). Preliminary analyses demonstrated higher temperatures resulted in decreased maximum rates of rewarming. On average, at 4°C ambient temperature rewarming was 0.14 °C per minute, while at 30°C ambient temperature the average maximum rate of rewarming was 0.012°C per minute. In addition, higher temperatures had a 2-fold higher relative time index which is defined as the time required to reach maximum rate of rewarming divided by the total arousal duration. Lastly, the interbout arousals increased 5-fold at warmer temperatures, lasting 12 hours at 4°C and 66 hours at 30°C. We interpret these data to suggest high temperature torpor leads to homeostatic issues wherein key processes are poorly coordinated. The result is an inherent increase in variability between individual squirrels and a loss of predictability of key hibernation aspects. NASA TRISH Department of Education NSF. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Microbiome confounders and quantitative profiling challengepredicted microbial targets in colorectal cancer development

Despite substantial progress in cancer microbiome research, recognizedconfounders and advances in absolute microbiome quantification remain underused;this raises concerns regarding potential spurious associations. Here we study thefecal microbiota of 589 patients at different colorectal cancer (CRC) stages andcompare observations with up to 15 published studies (4,439 patients and controlstotal). Using quantitative microbiome profiling based on 16S ribosomal RNA ampliconsequencing, combined with rigorous confounder control, we identified transit time,fecal calprotectin (intestinal inflammation) and body mass index as primarymicrobial covariates, superseding variance explained by CRC diagnostic groups.Well-established microbiome CRC targets, such as Fusobacterium nucleatum, did not significantly associate with CRCdiagnostic groups (healthy, adenoma and carcinoma) when controlling for thesecovariates. In contrast, the associations of Anaerococcusvaginalis, Dialister pneumosintes,Parvimonas micra, Peptostreptococcus anaerobius, Porphyromonasasaccharolytica and Prevotellaintermedia remained robust, highlighting their future targetpotential. Finally, control individuals (age 22–80 years, mean57.7 years, standard deviation 11.3) meeting criteria for colonoscopy (forexample, through a positive fecal immunochemical test) but without colonic lesionsare enriched for the dysbiotic Bacteroides2 enterotype, emphasizing uncertainties indefining healthy controls in cancer microbiome research. Together, these resultsindicate the importance of quantitative microbiome profiling and covariate controlfor biomarker identification in CRC microbiome studies.

Investigating the Response of Vegetation to Flash Droughts by Using Cross-Spectral Analysis and an Evapotranspiration-Based Drought Index

Flash droughts tend to cause severe damage to agriculture due to their characteristics of sudden onset and rapid intensification. Early detection of the response of vegetation to flash droughts is of utmost importance in mitigating the effects of flash droughts, as it can provide a scientific basis for establishing an early warning system. The commonly used method of determining the response time of vegetation to flash drought, based on the response time index or the correlation between the precipitation anomaly and vegetation growth anomaly, leads to the late detection of irreversible drought effects on vegetation, which may not be sufficient for use in analyzing the response of vegetation to flash drought for early earning. The evapotranspiration-based (ET-based) drought indices are an effective indicator for identifying and monitoring flash drought. This study proposes a novel approach that applies cross-spectral analysis to an ET-based drought index, i.e., Evaporative Stress Anomaly Index (ESAI), as the forcing and a vegetation-based drought index, i.e., Normalized Vegetation Anomaly Index (NVAI), as the response, both from medium-resolution remote sensing data, to estimate the time lag of the response of vegetation vitality status to flash drought. An experiment on the novel method was carried out in North China during March–September for the period of 2001–2020 using remote sensing products at 1 km spatial resolution. The results show that the average time lag of the response of vegetation to water availability during flash droughts estimated by the cross-spectral analysis over North China in 2001–2020 was 5.9 days, which is shorter than the results measured by the widely used response time index (26.5 days). The main difference between the phase lag from the cross-spectral analysis method and the response time from the response time index method lies in the fundamental processes behind the definitions of the vegetation response in the two methods, i.e., a subtle and dynamic fluctuation signature in the response signal (vegetation-based drought index) that correlates with the fluctuation in the forcing signal (ET-based drought index) versus an irreversible impact indicated by a negative NDVI anomaly. The time lag of the response of vegetation to flash droughts varied with vegetation types and irrigation conditions. The average time lag for rainfed cropland, irrigated cropland, grassland, and forest in North China was 5.4, 5.8, 6.1, and 6.9 days, respectively. Forests have a longer response time to flash droughts than grasses and crops due to their deeper root systems, and irrigation can mitigate the impacts of flash droughts. Our method, based on cross-spectral analysis and the ET-based drought index, is innovative and can provide an earlier warning of impending drought impacts, rather than waiting for the irreversible impacts to occur. The information detected at an earlier stage of flash droughts can help decision makers in developing more effective and timely strategies to mitigate the impact of flash droughts on ecosystems.

Time-frequency extreme risk spillovers between COVID-19 news-based panic sentiment and stock market volatility in the multi-layer network: Evidence from the RCEP countries

This study extends extant discussions on regional integration by exploring risk spillovers between news-based panic sentiment and stock market volatility among Regional Comprehensive Economic Partnership (RCEP) members during the COVID-19 pandemic. We innovatively estimate quantile-based spillover indices in both time and frequency domains and construct the multi-layer network. Both static and dynamic risk spillover patterns in the "RCEP panic-stock network" are outlined. It is found that risk spillovers are predominantly transmitted from the "panic-layer network" towards the "volatility-layer network". Besides, regression analyses are employed to investigate whether general features of COVID-19 media reporting affect the spillovers of panic sentiment at the country level. The results show that the magnitude of panic spillovers tend to be positively associated with overall media coverage and negatively with overall media sentiment, especially at the middle and lower quantiles.

Path planning for robot search task using belief criteria decision-making

PurposeThis study aims to realize efficient, fast and safe robot search task, the belief criteria decision-making approach is proposed to solve the object search task with an uncertain location.Design/methodology/approachThe study formulates the robot search task as a partially observable Markov decision process, uses the semantic information to evaluate the belief state and designs the belief criteria decision-making approach. A cost function considering a trade-off among belief state, path length and movement effort is modelled to select the next best location in path planning.FindingsThe semantic information is successfully modelled and propagated, which can represent the belief of finding object. The belief criteria decision-making (BCDM) approach is evaluated in both Gazebo simulation platform and physical experiments. Compared to greedy, uniform and random methods, the performance index of path length and execution time is superior by BCDM approach.Originality/valueThe prior knowledge of robot working environment, especially semantic information, can be used for path planning to achieve efficient task execution in path length and execution time. The modelling and updating of environment information can lead a promising research topic to realize a more intelligent decision-making method for object search task.

Analysis of factors affecting intraoperative hemorrhage during percutaneous nephrolithotomy and establishment of nomogram model.

Intraoperative hemorrhage is an important factor affecting intraoperative safety and postoperative patient recovery in percutaneous nephrolithotomy (PCNL). This study aimed to identify the factors that influence intraoperative hemorrhage during PCNL and develop a predictive nomogram model based on these factors.A total of 118 patients who underwent PCNL at the Department of Urology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University from January 2021 to September 2023 was included in this study. The patients were divided into a hemorrhage group (58 cases) and a control group (60 cases) based on the decrease in hemoglobin levels after surgery. The clinical data of all patients were collected, and both univariate analysis and multivariate logistic regression analysis were conducted to identify the independent risk factors for intraoperative hemorrhage during PCNL. The independent risk factors were used to construct a nomogram model using R software. Additionally, receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA) were utilized to evaluate the model.Multivariate logistic regression analysis revealed that diabetes, long operation time and low psoas muscle mass index (PMI) were independent risk factors for intraoperative hemorrhage during PCNL (P < 0.05). A nomogram model was developed incorporating these factors, and the areas under the ROC curve (AUCs) in the training set and validation set were 0.740 (95% CI: 0.637-0.843) and 0.742 (95% CI: 0.554-0.931), respectively. The calibration curve and Hosmer-Lemeshow test (P = 0.719) of the model proved that the model was well fitted and calibrated. The results of the DCA showed that the model had high value for clinical application.Diabetes, long operation time and low PMI were found to be independent risk factors for intraoperative hemorrhage during PCNL. The nomogram model based on these factors can be used to predict the risk of intraoperative hemorrhage, which is beneficial for perioperative intervention in high-risk groups to improve the safety of surgery and reduce the incidence of postoperative complications.

Why we should have a universal air quality index?

Air pollution is known to be one of the major risk factors for premature morbidity and mortality globally, which are preventable. Therefore, the public is informed about air pollution through the Air Quality Index (AQI). The AQI represents integrated data of selected pollutants and produces a combined overall index for specific locations and time. The AQI algorithm generates a range of numbers and categories of colors that indicate likely health risks from air pollutants and the public's actions to minimize the risks. However, it lacks emerging evidence on chemical toxicity or composition. Hence, policymakers may also consider addinga toxicity matrix of fine particles to refine the algorithm, such as oxidative potential. Further, the risk is commonly communicated in numbers and not in color as dictated by the AQI. The AQI values and categories vary significantly between countries for the same pollution concentration, leading to confusion. Hence, we recommend developing a universal AQI (UAQI) with a consistent relationship between colors, concentrations, and toxicity to communicate air pollution risks to the public. Further, communication media should be encouraged to use universal color-coding rather than AQI values, i.e., numbers. Therefore, a global policy framework for regulatory authorities and policymakers is needed to communicate air pollution risk information consistently and to minimize public health exposure.

THE FITBONE INTRAMEDULLARY LENGTHENING NAIL IN THE MANAGEMENT OF ADULT AND PAEDIATRIC LIMB DEFORMITY: A RETROSPECTIVE COHORT STUDY AT A TERTIARY REFERRAL LIMB RECONSTRUCTION SERVICE

IntroductionManagement of deformity involving limb length discrepancy (LLD) using intramedullary devices offers significant benefits to both patients and clinicians over traditional external fixation. Following the withdrawal of the PRECICE nail, the Fitbone became the primary implant available for intramedullary lengthening and deformity correction within our service. This consecutive series illustrates the advantages and complications associated with the use of this device, and describes a novel technique modification for antegrade intramedullary lengthening nails.Materials &amp; MethodsA retrospective cohort review was performed of patient outcomes after treatment with the Fitbone nail at two tertiary referral limb reconstruction services (one adult, one paediatric) between January 2021 to December 2023. Aetiology, indications, initial and final LLD, use of concomitant rail assisted deformity correction (ORDER), removal time and healing index were assessed. Complications of treatment were evaluated and described in detail, alongside technique modifications to reduce the rate of these complications.Results21 nails (18 femoral, 2 tibial, 1 humeral) were inserted in 6 adult and 13 paediatric patients. Post-traumatic and congenital/developmental LLD were the most common indications for surgery in the adult and paediatric cohorts respectively. ORDER was employed in 11 cases (9 femurs and 2 tibias). Treatment goals were achieved in all but one case. Complications included superficial infection, locking bolt migration, periprosthetic fracture and component failure. Seven patients required unplanned returns to theatre.ConclusionsThe Fitbone nail is an established option for intramedullary limb lengthening, however its use in the UK has been relatively limited compared to the PRECICE until 2021. Our data helps to define its place for limb lengthening and complex deformity correction in both adult and paediatric patients, including in humeral lengthening and retrograde femoral insertion across an open physis. We have identified important potential risks and novel techniques to simplify surgery and avoid complications.

Tissue perfusion monitoring in children with acute circulatory dysfunction: narrative review

Sepsis is one of the main causes of admission to Intensive Care Units (ICU). The hemodynamic objectives usually sought during the resuscitation of the patient in septic shock correspond to macrohemodynamic parameters (heart rate, blood pressure, central venous pressure). However, persistent alterations in microcirculation, despite the restoration of macrohemodynamic parameters, can cause organ failure. This dissociation between the macrocirculation and microcirculation originates the need to evaluate organ tissue perfusion, the most commonly used being urinary output, lactatemia, central venous oxygen saturation (ScvO2), and veno-arterial pCO2 gap. Because peripheral tissues, such as the skin, are sensitive to disturbances in perfusion, noninvasive monitoring of peripheral circulation, such as skin temperature gradient, capillary refill time, mottling score, and peripheral perfusion index may be helpful as early markers of the existence of systemic hemodynamic alterations. Peripheral circulation monitoring techniques are relatively easy to interpret and can be used directly at the patient's bedside. This approach can be quickly applied in the intra- or extra-ICU setting. The objective of this narrative review is to analyze the various existing tissue perfusion markers and to update the evidence that allows guiding hemodynamic support in a more individualized therapy for each patient.

A Sustainable Multi-Objective Model for Capacitated-Electric-Vehicle-Routing-Problem Considering Hard and Soft Time Windows as Well as Partial Recharging.

Due to the high pollution of the transportation sector, nowadays the role of electric vehicles has been noticed more and more by governments, organizations, and environmentally friendly people. On the other hand, the problem of electric vehicle routing (EVRP) has been widely studied in recent years. This paper deals with an extended version of EVRP, in which electric vehicles (EVs) deliver goods to customers. The limited battery capacity of EVs causes their operational domains to be less than those of gasoline vehicles. For this purpose, several charging stations are considered in this study for EVs. In addition, depending on the operational domain, a full charge may not be needed, which reduces the operation time. Therefore, partial recharging is also taken into account in the present research. This problem is formulated as a multi-objective integer linear programming model, whose objective functions include economic, environmental, and social aspects. Then, the preemptive fuzzy goal programming method (PFGP) is exploited as an exact method to solve small-sized problems. Also, two hybrid meta-heuristic algorithms inspired by nature, including MOSA, MOGWO, MOPSO, and NSGAII_TLBO, are utilized to solve large-sized problems. The results obtained from solving the numerous test problems demonstrate that the hybrid meta-heuristic algorithm can provide efficient solutions in terms of quality and non-dominated solutions in all test problems. In addition, the performance of the algorithms was compared in terms of four indexes: time, MID, MOCV, and HV. Moreover, statistical analysis is performed to investigate whether there is a significant difference between the performance of the algorithms. The results indicate that the MOSA algorithm performs better in terms of the time index. On the other hand, the NSGA-II-TLBO algorithm outperforms in terms of the MID, MOCV, and HV indexes.

Assessment of arterial rigidity and daily profile of arterial pressure in women with newly detected breast cancer

Research objective: to evaluate arterial stiff ness indicators and its correlation with parameters of 24-hour ambulatory blood pressure monitoring (ABPM) in women with newly diagnosed breast cancer (BC).Material and methods: a prospective cohort study in 158 women aged 27 to 64 years with a median age of 45.4 years and newly diagnosed BC at stage IIA–IIIB before chemotherapy was conducted. The first group included 109 patients with normal or high-normal office blood pressure (BP), and the second group included 49 women with previously diagnosed stage 1– 2 essential hypertension (EH) with low or moderate cardiovascular risk. All patients underwent indirect arteriography and ABPM. Results. According to ABPM data, “masked” arterial hypertension (MAH) was diagnosed in 54 (49.5%) women in the fi rst group. In patients with MAH, the mean daily level and diastolic BP time index exceeded the corresponding indicators in EH, and the magnitude of the morning rise in systolic BP was significantly lower. In 35.4% of the examined patients with EH, the pulse wave velocity (PWV) was increased, and in 17.4% it was pathological. With MAH, these changes were recorded in 28.5% and 14.1% of cases, respectively. The odds ratio showed that in women with normal BP, the probability of an increase in PWV &gt;10 m/s increased by 1.6 times, and in the presence of comorbidity with MAH and EH, it increased by 2.2 and 2.4 times, respectively. The risk of an increase in central systolic BP &gt;125 mm Hg and pulse BP &gt;60 mm Hg was highest in patients with EH.Conclusion: Among young and middle-aged women with newly diagnosed BC, a significant number of cases of MAH and EH are detected, which determines the need to evaluate arterial stiff ness and daily BP profiles before starting antitumor therapy.

Bearing Fault Diagnosis via Stepwise Sparse Regularization with an Adaptive Sparse Dictionary.

Vibration monitoring is one of the most effective approaches for bearing fault diagnosis. Within this category of techniques, sparsity constraint-based regularization has received considerable attention for its capability to accurately extract repetitive transients from noisy vibration signals. The optimal solution of a sparse regularization problem is determined by the regularization term and the data fitting term in the cost function according to their weights, so a tradeoff between sparsity and data fidelity has to be made inevitably, which restricts conventional regularization methods from maintaining strong sparsity-promoting capability and high fitting accuracy at the same time. To address the limitation, a stepwise sparse regularization (SSR) method with an adaptive sparse dictionary is proposed. In this method, the bearing fault diagnosis is modeled as a multi-parameter optimization problem, including time indexes of the sparse dictionary and sparse coefficients. Firstly, sparsity-enhanced optimization is conducted by amplifying the regularization parameter, making the time indexes and the number of atoms adaptively converge to the moments when impulses occur and the number of impulses, respectively. Then, fidelity-enhanced optimization is carried out by removing the regularization term, thereby obtaining the high-precision reconstruction amplitudes. Simulations and experiments verify that the reconstruction accuracy of the SSR method outperforms other sparse regularization methods under most noise conditions, and thus the proposed method can provide more accurate results for bearing fault diagnosis.

Assessment of jaw bone mineral density, resorption rates, and oral health in patients with severe hemophilia: a case-control study.

Knowledge about oral hygiene, gingival bleeding, mineral density, and resorption of jaw bones in patients with hemophilia is limited. We evaluated the periodontal and bone status in such patients. Material and methods: Forty-eight patients with severe type A/B hemophilia and 49 age- and sex-matched controls were included. Assessments included simplified oral hygiene index (OHI-S), calculus index, debris index, gingival index (GI), gingival bleeding time index (GBTI), and decayed, missing, and filled teeth index (DMFTI). Bone resorption was evaluated using panoramic mandibular index (PMI), mental index (MI), and alveolar crest ratio (ACR). Mineral density in the condyle, angulus, and premolar areas was assessed using fractal analysis, with fractal dimensions denoted as condyle fractal dimension (CFD) for the condyle, angulus fractal dimension (AFD) for angulus, and premolar fractal dimension (PFD) for premolar region. The mean scores were DMFTI = 11.77, OHI-S = 2.44, PMI = 0.268, MI = 5.822, GI = 3.02, GBTI = 2.64, ACR = 2.06, CFD = 1.31, AFD = 1.31, and PFD = 1.17 in the hemophilia group and DMFTI = 11.449, PMI = 0.494, MI = 7.43, GI = 0.67, GBTI = 0.98, OHI-S = 1.45, ACR = 2.87, CFD = 1.35, AFD = 1.35, and PDF = 1.23 in the control group. Differences were significant for all parameters (p < 0.005) except for the DMFTI index. Conclusions: Because of poor oral hygiene, high bone resorption, and low bone mineral density in these patients, clinicians should consider potential bone changes when planning to treat these patients.

Impact of rice variety, cooking equipment and pretreatment method on the quality of lightly milled rice

Lightly milled rice is a healthier choice compared to refined white rice. In this study, the effects of variety, cooking equipment and pretreatment method on the quality of six varieties of lightly milled rice from China after cooking was investigated through physics, chemistry and instrumental analysis method. Nanjing-No.5055 has the best eating quality, Xiadao-No.1 has higher appearance score, and Fengliangyouxiang-No.1 has the lowest glycemic index. Compared with microwave oven and electric cooker, steamer has a more significant positive impact on component retention, eating quality and sensory quality, but the former has lower cooking time and higher glycemic index. Soaking can effectively improve the water absorption rate, thus reducing hardness. Cleaning affects component retention but is beneficial for sensory quality. The most obvious variation in organizational structure can be observed in the steamer and soaking processes. These findings could serve as a valuable reference for the processing of lightly milled rice.

Pengaruh Straits Times Index, Harga Emas Dunia, Dan Inflasi Terhadap Ihsg Di Bursa Efek Indonesia Periode 2018 – 2023

The aims of this research is to determine and analyze the influence of the Straits Times Index (STI), world gold prices, and inflation on the Indonesia Composite Index on the Indonesia Stock Exchange during the period 2018 - 2023. The population in this research is time series data for 60 months from the ICI price movement on the Indonesia Stock Exchange during the period July 2018 – June 2023. The sampling technique used saturated samples so that the samples obtained were 60. The research method used was multiple linear regression analysis. The results of this research show that 1) the Straits Times Index (STI), World Gold Prices and Inflation simultaneously have a significant effect on the ICI on the IDX for the period 2018 – 2023, 2) the Straits Times Index (STI) partially has a positive effect and significantly to the ICI on the IDX for the period 2018 – 2023, 3) World gold prices partially have a positive and significant effect on the ICI on the IDX for the period 2018 – 2023, 4) Inflation partially has a positive and significant effect on the ICI on the IDX for the period 2018 – 2023 Keywords: Straits Times Index, World Gold Prices, Inflation, ICI