Frequency Distribution Research Articles

Establishing resilience-targeted prediction models of rainfall for transportation infrastructures for three demonstration regions in China

Rainstorm is one of the global meteorological disasters that threaten the safety of transportation infrastructure and the connectivity of transportation system. Aiming to support the resilience assessment of transportation infrastructure in three representative regions: Sichuan–Chongqing, Yangtze River Delta, and Beijing-Tianjin-Hebei-Shandong, rainfall data over 40 years in the three regions are collected, and the temporal distribution of rainfall are analyzed. Prediction equations of rainfall are established. For the purpose of this, the probabilistic density function (PDF) is assigned to the rainfall by fitting the frequency distribution histogram. Using the assigned PDF, the rainfall data are transformed into standard normal space where regression of prediction equations is performed and the prediction accuracy is tested. The results show that: (1) The frequency of rainfall in the three regions follows a lognormal distribution based on which the prediction equations of rainfall can be established in standard normal space. The error of regression shows no remarkable dependence on self-variables, and the significance analysis indicates that the equations proposed in this paper are plausible for predicting rainfalls for the three regions. (2) The Yangtze River Delta region has a higher risk of rainstorm disaster compared to the other two regions according to the frequency of rainfall and the return period of precipitation concentration. (3) Over the period of 1980–2021, the Sichuan–Chongqing region witnessed an increase in yearly rainfall but a decrease in rainstorm disasters, whereas the other two regions experienced a consistent rise in both metrics.

Low-dose, standard, and high-resolution cone beam computed tomography for alveolar bone measurements related to implant planning: An exvivo study in human specimens.

To evaluate the performance of low-dose cone beam computed tomography (CBCT) protocols with regard to linear bone measurements in the posterior mandible for implant planning compared with higher dose protocols. Forty-two edentulous posterior sites in human cadaveric mandibles were imaged in three CBCT scanners using three or four protocols with varying exposure parameters to achieve lower dose. Co-registration was performed to generate sagittal and cross-sectional image sections representative of the implant site. Three observers measured bone height, from the alveolar crest to the mandibular canal, and width, three mm from the top of the alveolar crest. Intra- and interobserver reproducibility were assessed for the cases rated as nonmeasurable as well as for completed measurements. The measurements were analyzed using paired t-tests for differences among the CBCT protocols and the frequency distribution of nonmeasurable cases with a Pearson Chi-square test. Reproducibility for registering nonmeasurable cases varied among observers; however, no consistent significant differences were found in the frequency distribution of these cases among observers, units, and protocols. Intraclass correlation coefficients (ICC) were >0.9 for all measurements of bone height and width. Mean differences of <0.5 mm were found regardless of protocol; however, one observer did in some cases produce larger differences. Linear bone measurements did not differ significantly and could be performed with excellent reliability, using low-dose CBCT protocols compared with standard and high-resolution ones. Varying approaches for rating nonmeasurable cases were found, indicating differences in diagnostic strategies related to implant planning among observers.

Stable estimation of the Gutenberg–Richter b-values by the b-positive method: a case study of aftershock zones for magnitude-7 class earthquakes

The traditional approach for estimating the b-value of the Gutenberg–Richter law, which is posited to inversely correlate with differential stress, has historically relied on the maximum likelihood technique, utilizing data from earthquakes exceeding a magnitude cutoff, Mc. This traditional approach is significantly influenced by the value of Mc, leading to extensive research focused on methods for determining Mc with greater accuracy. However, a recent study introduced a novel method based on the frequency distribution of magnitude difference, termed the b-positive method. This innovative method could enable more robust b-value estimations, even in scenarios where Mc may vary spatially and temporally. Our study concentrated on analyzing aftershocks, related to 25 magnitude-7 class earthquakes surrounding the Japanese archipelago. We estimated the b-values using both the goodness-of-fit test for Mc, a traditional approach, and the b-positive method. The aftershock data were examined over two distinct time frames: the initial 10 days following each mainshock and an extended period of 1000 days. Our findings indicated that the estimates produced by the b-positive method showed negligible variation between the 10-day and 1000-day aftershock periods (correlation coefficient of 0.95), whereas the traditional approach tended to yield lower b-values for the 10-day aftershocks compared to those from the 1000-day period. Variations in b-values, when analyzed using the traditional approach, could be inaccurately ascribed to temporal fluctuations in differential stress that may not actually be present. The b-positive method offers a vital solution to prevent these erroneous interpretations, serving as an essential alternative.Graphical abstract

Perceptions and experiences of community pharmacists with off-label prescribing in the pediatric population.

This study aimed to investigate and provide insight into the prevalence and patterns of off-label drug use in the pediatric population from the perspective of community pharmacists, addressing the existing data gap in a developing setting. A questionnaire-based cross-sectional study was conducted on Albanian community pharmacists in June 2021. The online administered survey explored the participants' demographic details, perceptions, and experiences with off-label prescriptions in pediatric patients. The statistical analysis conducted on the survey data comprised the construction of frequency tables and the application of the chi-square test for independence. Three hundred and thirty-six community pharmacists nationwide completed the survey, out of which 186 (55.3%) were practiced in Tirana, the capital of Albania. Over 80% of surveyed pharmacists (n = 275) had encountered off-label drug prescriptions in pediatric patients, yet only 40% of participants reported dispensing medicines for off-label use. Community pharmacists reported that general pediatricians tended to prescribe off-label medications more frequently than pediatric subspecialists or general practitioners. It was found that off-label prescriptions were more frequently observed among children aged between 2 and 11 years. Antibiotics were the most reported medicines for off-label use in this study mentioned in almost all off-label categories. Prescribing medicines for unapproved uses for the treatment of pediatric patients is present in community settings in Albania. This indicates the need for further data collection and analysis to understand off-label practices in our country's pediatric population comprehensively.

Correlates of fertility desires in women with urogenital fistula in the Democratic Republic of Congo: a cross-sectional study of 1,646 women

BackgroundStudies on fertility desires among fistula patients in the Democratic Republic of Congo (DRC) have been conducted on fewer patients. Furthermore, these studies have adopted a univariate descriptive approach. This study aims to examine the determinants of fertility desires among patients with fistula in the DRC.MethodsThis cross-sectional study included women aged 15–49 whose fistulas were repaired by the Panzi Hospital mobile team in seven DRC regions between 2013 and 2018. Univariate and bivariate descriptive analyses were performed using the frequency distribution table and the chi-square test. Adjusted odds ratios with their 95 confidence intervals from logistic regression were used to analyze factors associated with fertility desire after fistula repair. All analyses were stratified by parity level for all women aged 15–49 and 20–34 years.ResultsOf the 1,646 women aged 15–49 and 808 aged 20–34, 948 (57.6%) and 597 (73.8%), respectively, wanted to have children after fistula repair. Among women aged 15–49 and 20–34 years, the desire to have children was parity-specific. It was negatively associated with age at all parity levels. In women with low parity, the desire for children was significantly negatively associated with a high number of surgeries, abortions, and fistula duration. It tended to decrease with time, but was particularly high in 2014 and 2017. It was high among the Protestant women. Among medium-parity women, it was significantly lower in urban areas and among widows, but higher among women who had more than two abortions. Among high-parity women, it was negatively associated with education level.ConclusionTo help women with fistula achieve or approach their desired number of children, our findings suggest that (1) counseling is needed for women with a high desire for children; (2) the human, material, and financial resources needed to eliminate fistula in the DRC should be made available; and (3) medical and nursing staff should be sufficiently and effectively trained to minimize the number of unsuccessful surgeries performed on women with fistula.

The Clinical Incorporation of the 2017 Classification of Periodontal Disease Conditions Part II: The Association Between Clinical Parameters and Gender.

Background The implementation of the new classification system guided clinicians in the best way for disease diagnosis and patient management. The advent of definitions such as clinical gingival health additionally helped in distinguishing between intact and reduced periodontium. The purpose behind introducing new systems was to guide practitioners to improve on managing the requirements of the patients effectively. It also enables professionals to concentrate on clinical practice, and it can be suggested that readers who are concentrating on research make use of the global classification system. In this study, we present a diagnostic approach for periodontal diseases that supports the innovative classification system in relation to gender while remaining compatible with previous guidelines. Aim The present study focuses on the relationship between gender association and the clinical parameters in periodontitis patients that would support the new classification system. Materials and methods This was a retrospective, cross-sectional, observational study consisting of patient data obtained from past patient records who were diagnosed with periodontitis. Results The data analysis results showed that 95% of the population was similarly distributed across the genders in terms of frequency, and there was minimal statistically significant differencebetween the genderswhen compared to the clinical parameters. However, there was a statistically significant difference in the specific clinical characteristics, such as recession, which impacted 48.6% of male patients, and the presence of local factors, which affected 43.2% of female patients, in addition to the 59.4% localized involvement of periodontitis. All the data were analyzed using the SPSS softwareversion 20 (IBM SPSS Statistics, Armonk, NY). The chi-square test was used to evaluate the descriptive analysis and frequency tables. Conclusion The addition of correlating clinical parameterswith data based on gender had no effect on the new classification system. Meanwhile, it can be used as an adjunct to evaluate the distribution and extent of disease progression among genders.

Benign epileptiform variants in EEG: A comprehensive study of 3000 patients

BackgroundThe analysis of EEG demands expertise and keen observation to distinguish epileptiform discharges from benign epileptiform variants (BEVs), a frequent source of erroneous interpretation. The prevalence of BEVs varies based on geographical, racial, and ethnic characteristics. However, most data on BEVs originates from Western populations, and additional studies on different cohorts would enrich the existing literature. MethodsWe reviewed EEGs from our institutional database to study the prevalence of benign epileptiform variants and analyzed their frequency, topography, and other characteristics. Additionally, we investigated the co-existence of epileptiform discharges with BEVs. ResultsWe identified 296 patients with BEVs after reviewing 3000 EEGs (9.9%). The most common BEV was small sharp spikes (SSS), observed in 114 patients (3.8%). Wicket waves, 6 Hz spike and slow wave, 14 and 6 Hz positive bursts, and Rhythmic Temporal Theta of Drowsiness (RTTD) were identified in 67 (2.2%), 40 (1.3%), 39 (1.3%), and 35 (1.16%) patients, respectively and one patient with Subclinical Rhythmic EEG Discharges in Adults (SREDA). Additionally, we observed the co-existence of epileptiform discharges with BEVs, most commonly with SSS (27.8%). ConclusionsThe present study is a large study with 3000 EEGs to describe the BEV characteristics. BEVs were seen in 9.9% of patients, BSSS being the most common. There were minor differences in frequency, gender or age distribution compared to existing literature. We demonstrated the co-existence of epileptiform discharges. Morphological characteristics remain the cornerstone in recognising BEVs. EEG readers need to be aware of features of BEVs to avoid wrongly interpretation.

P-523 Single molecule chromatin footprinting reveals only low occurrence of nucleosomes at multiple loci throughout chromatin of human and mouse spermatozoa

Abstract Study question What fraction of spermatozoa from mouse and human semen contain nucleosomes at specific loci? What chromatin features affect nucleosome retention in spermatozoa? Summary answer On average, 1-2% mouse spermatozoa and 5-9% human spermatozoa contain nucleosomes at sampled genomic loci, with moderately higher frequencies at unmethylated regions of DNA. What is known already Nucleosomes constitute the basic packaging and gene regulatory unit of DNA in eukaryotic cells. During final stages of spermatogenesis in mammals, however, most nucleosomes are replaced by protamines. Previous global chromatin immunoprecipitation-sequencing studies reported the presence of nucleosomes at gene regulatory and other genomic regions. Such nucleosomes were proposed to convey intergenerational inheritance of epigenetic information. Additional studies revealed that infertile men with decreased success of assisted reproductive therapy have protamine deficiency or displayed more widely distributed nucleosomes in their sperm genome. Direct links between altered levels of nuclear proteins and fertilizing potential of sperm have, however, not been established. Study design, size, duration We conducted a case study on nucleosome retention levels in sperm from four selected fertile human samples. This study was complemented in mice, in which we characterized the dynamic changes in nucleosome frequencies at genomic loci during differentiation of haploid spermatids into spermatozoa, and their responses in mutant spermatozoa lacking DNA methylation at certain loci. Participants/materials, setting, methods We used the single-molecule sequencing technique called Nucleosome Occupancy and Methylome Sequencing to quantify nucleosome occupancy rates at selected loci in spermatozoa from ejaculated semen of four fertile semen donors. We also profiled round spermatids, early and late elongating spermatids and spermatozoa of C57BL/6J wild-type mice as well as spermatozoa of mice conditionally deficient for the methyltransferases Dnmt3a and Dnmt3b, lacking DNA methylation at certain genomic regions. Main results and the role of chance To our knowledge, this is the first study to quantify nucleosome occupancy in mouse male gametes and human spermatozoa at single-molecule resolution. In mice, we observed that chromatin remodelling during spermatid elongation resulted in a progressive loss of nucleosomes and their positioning, a transient gain in global chromatin accessibility which was succeeded by increasing chromatin inaccessibility and nuclear compaction. In both human and mouse sperm, we profiled nucleosome occupancy levels at different genomic loci and measured only low percentages, ranging from ∼1-2% in mouse and 5-9% in human. In both organisms we observed a near two-fold higher nucleosome occupancy at loci being unmethylated at their DNA over loci being highly methylated. Mice partially deficient in genomic DNA methylation manifested a similar fold increase in nucleosome occupancy in absence of DNA methylation. These data reveal a moderate modulatory role for DNA methylation established in spermatogonial stages in regulating nucleosome eviction during spermiogenesis. The overall low nucleosome occupancy frequencies in mammalian spermatozoa suggest a stochastic or random rather than a programmed role of nucleosomes in regulating paternal gene expression during ensuing embryonic development. Limitations, reasons for caution Amplicon-based sequencing provides deep sequencing coverage for selected genomic loci. We lack, however, information on the distribution of nucleosomes among loci within the genome of single spermatozoa. In human, we studied a limited number of human donors. Wider implications of the findings This study resolves a long-standing question on the frequency and local distribution of nucleosomes in murine and human spermatozoa. The variability in nucleosome occupancy between spermatozoa within and between samples of human individuals inspires further investigations into the relationship between chromatin states and quality of individual spermatozoa for embryonic development. Trial registration number SNCTP000003654

Genotyping of rs1127354 and rs7270101 SNPs in Multiple Sclerosis Patients: Correlation with ITPA Gene Expression

Background: The ITPA gene plays a vital role in maintaining cellular homeostasis by regulating the levels of inosine triphosphate (ITP) and diphosphate (IDP) within cells. Dysregulation of ITPA can lead to an accumulation of ITP and IDP, which disrupts immune cell functions. Objective: This study aims to investigate, for the first time, the relationship between two specific genetic variations (94C- &gt; A (rs1127354) and IVS2+21A → C (rs7270101) SNPs) and the expression of the ITPA gene in multiple sclerosis (MS) patients. Methods: The study included 112 MS patients and 109 healthy controls, with 32 patients and 30 controls randomly selected for genotyping. The expression of two ITPA transcripts in the peripheral blood mononuclear cells of all participants was measured using real-time PCR. Results: The study found no significant differences in the expression levels of transcript 1 and transcript 2 between MS patients and controls. Additionally, there were no significant differences in the genotypic and allele frequencies of the ITPA rs1127354 and rs7270101 SNPs in MS patients. Conclusions: These findings may contribute to the development of targeted therapies and personalized treatments for individuals with MS. Understanding the pathogenic potential and frequency distribution of these variants across diverse populations is crucial for elucidating their role in disease susceptibility and advancing personalized medicine approaches for multiple sclerosis and other autoimmune disorders.

Age-related task progression in two Australian Tetragonula stingless bees

AbstractStingless bees are a widespread group of highly social bees found in tropical regions throughout much of the world. Despite an impressive diversity, relatively little is known about worker behaviour and division of labour. In this study, we investigate the progression of colony tasks over the lifespan of worker bees in colonies of the two most commonly kept Australian species: Tetragonula carbonaria and T. hockingsi. We marked cohorts of 25–100 newly emerged female bees with a paint dot and released them back into colonies housed in observation hives before recording twice weekly behaviours of marked bees within the nest. Foragers were observed through a clear plastic entrance tube. We replicated this with 5–6 marked cohorts across three colonies for each species. We found the two species were similar to each other in the frequency and age distribution of behaviours. Young worker bees were mostly found cleaning, filling or constructing brood cells and collecting honey from food pots. Middle aged bees were more likely to build or maintain food pots or supporting structures, with guarding and foraging occupying the oldest bees. There was, however, significant overlap in timing of tasks. Moreover, fast cohorts progressed to foraging in less than half the time of the slowest cohorts. Despite subtle differences between our Tetragonula species and other stingless bees, it adds to the evidence that progression from safe to risky jobs with age is an ancestral feature shared across stingless bees, and has similarities to honeybees despite an independent evolutionary origin.

Determination of sample size for a multinomial model coupled with the phenology model

Predicting the timing of phenological events is important in agriculture, especially high-revenue products. A project sponsored by USDA-ARS had the objective of adapting a previously developed model for estimating proportions of insects in different development stages as a function of temperature (degree) and time (days) for predicting bloom in almond orchards. Data for the model normally form a two-way table of counts, with rows corresponding to sample percentages of different development stages and columns to sampling times. In this study, we report a technique developed to estimate sample sizes of multinomial and product multinomial models using a method of moments and determine the empirical coverage of sample size. This study aims to determine an appropriate sample size for data collection. This involves establishing a sampling distribution for the Pearson statistic, defined as the product of the sample size and the deviance of empirical proportions from population proportions. The intended outcome is to predict the optimal timing for harvesting crops at desired development stages when coupled with the phenology model, for which variability of the maximum likelihood estimates of the phenology model depends on sample size.

Study on cavitation and pulsation characteristics of a novel rotor-radial groove hydrodynamic cavitation reactor

Abstract Hydrodynamic cavitation is widely used in many fields such as water treatment, impact rock breaking, and food preparation. The performance of hydrodynamic cavitation is closely related to its internal flow field. In the present study, cavitation flow field was analyzed by computational fluid dynamics in the reactor. The cavitation performance of the rotor is evaluated under different operating conditions. The time frequency distribution of pressure pulsation is studied. The pressure increases at the connection point between the local low-pressure area and the mainstream low-pressure area. Cavitation bubbles collapsed at the tail end of the cavity to form a local void area. The blade frequency amplitude of pressure pulsation shows the significant periodic change. The blade frequency amplitude decreases along the flow direction. The effect of the fluid outlet led to the increase in the second-order harmonic frequency amplitude. The research results could provide theoretical support for the research of cavitation mechanism of cavitation equipment.

Effectiveness of Husbands' Support Exclusive Breastfeeding Facebook Programme During the COVID-19 Pandemic.

The exclusive breastfeeding rate for six months in the Northeast region of Thailand has recently significantly decreased, in contrast to all other regions in Thailand. Facebook is widely used worldwide to enhance knowledge, attitudes, and behaviours that support breastfeeding. This study aims to assess the effectiveness of a Facebook programme for husbands' support of exclusive breastfeeding during the COVID-19 pandemic. We employed a quasi-experimental study design conducted from September 2020 to November 2021. Data were collected from two tertiary hospitals in Thailand, involving a total of 72 participants-36 in the experimental group and 36 in the control group. These participants were husbands of postpartum women admitted to the postpartum wards. Four research instrument were the demographic questionnaire, the Husband's EBF Knowledge, Husband's EBF Attitude, and Husband's EBF Behavior Questionnaires. Demographic data were analysed using frequency distribution, percentages, and the Chi-square test. The mean difference in husbands' exclusive breastfeeding (EBF) knowledge scores was analysed using an independent samples t-test. At baseline, there was no significant difference in husbands' exclusive breastfeeding (EBF) knowledge scores between the experimental and control groups (p = 0.82). By the 1st month, there was a significant difference in the mean scores of husbands' EBF knowledge between the two groups (p < 0.01). However, the mean score of attitude at 6-month (mean=108.03, SD=19.89) was higher than the mean score of behaviour at baseline (mean=101.81, SD=17.99), but it was not significant (p=0.40). In addition, the different score of behaviour among baseline (mean=65.86, SD=7.02) and 6-month (mean=68.58, SD=10.42) was not significant (p=0.24). The findings suggest that the Facebook programme is an effective platform for conveying exclusive breastfeeding (EBF) knowledge to husbands in Northeast Thailand during the COVID-19 pandemic.

Boundary of the Distribution of Solar Wind Proton Beta versus Temperature Anisotropy

The frequency distribution of solar wind protons, measured in the vicinity of Earth’s orbit, is customarily plotted in (β ∥, T ⊥/T ∥) phase space. Here, T ⊥/T ∥ is the ratio of perpendicular and parallel temperatures, and β ∥ = 8π nT ∥/B 2 is the ratio of parallel thermal energy to background magnetic field energy, the so-called “parallel beta,” with ⊥ and ∥ denoting directions with respect to the ambient magnetic field. Such a frequency distribution, plotted as a two-dimensional histogram, forms a peculiar rhombic shape defined with an outer boundary in the said phase space. Past studies reveal that the threshold conditions for temperature anisotropy–driven plasma instability partially account for the boundary on the high-β ∥ side. The low-β ∥ side remains largely unexplained despite some efforts. Work by Vafin et al. recently showed that certain contours of collisional relaxation frequency, ν pp, when parameterized by T ⊥/T ∥ and β ∥, could match the overall shape of the left-hand boundary, thus suggesting that the collisional relaxation process might be closely related to the formation of the left-hand boundary. The present paper extends the analysis by Vafin et al. and carries out the dynamical computation of the collisional relaxation process for an ensemble of initial proton states with varying degrees of anisotropic temperatures. The final states of the relaxed protons are shown to closely match the observed boundary to the left of the (β ∥, T ⊥/T ∥) phase space. When coupled with a similar set of calculations for the ensemble in the collective instability regime, it is found that the combined collisional/collective effects provide the baseline explanation for the observation.

Probabilistic inference and Bayesian-like estimation in animals: Empirical evidence.

Animals often make decisions without perfect knowledge of environmental parameters like the quality of an encountered food patch or a potential mate. Theoreticians often assume animals make such decisions using a Bayesian updating process that combines prior information about the frequency distribution of resources in the environment with sample information from an encountered resource; such a process leads to decisions that maximize fitness, given the available information. I examine three aspects of empirical work that shed light on the idea that animals can make such decisions in a Bayesian-like manner. First, many animals are sensitive to variance differences in behavioral options, one metric used to characterize frequency distributions. Second, several species use information about the relative frequency of preferred versus nonpreferred items in different populations to make probabilistic inferences about samples taken from populations in a manner that results in maximizing the likelihood of obtaining a preferred reward. Third, the predictions of Bayesian models often match the behavior of individuals in two main approaches. One approach compares behavior to models that make different assumptions about how individuals estimate the quality of an environmental parameter. The patch exploitation behavior of nine species of birds and mammals has matched the predictions of Bayesian models. The other approach compares the behavior of individuals who learn, through experience, different frequency distributions of resources in their environment. The behavior of three bird species and bumblebees exploiting food patches and fruit flies selecting mates is influenced by their experience learning different frequency distributions of food and mates, respectively, in ways consistent with Bayesian models. These studies lend support to the idea that animals may combine prior and sample information in a Bayesian-like manner to make decisions under uncertainty, but additional work on a greater diversity of species is required to better understand the generality of this ability.

The Impact of the COVID-19 Pandemic on Older Adults Who Participate in Group Physical Exercise Program.

The COVID pandemic exposed the vulnerability of older adults in myriad ways and social service organizations faced unprecedented challenges in safely providing support for older adults. Since 2007, Hawai'i Healthy Aging Partnership (HHAP) has offered Enhance®Fitness, an evidence-based program to reduce the risk of falls and promote health among older adults. Due to the pandemic, all the Enhance®Fitness sites had to close and stop offering the program. The HHAP started to provide alternative activities remotely in May 2020. To explore the pandemic's impact, the feasibility of online exercise programs, and the support needed among older adults to stay physically active, HHAP surveyed existing Enhance®Fitness participants and received 291 responses (59% response rate). The study used frequency distributions, comparison of means, and chi-square to analyze the survey data. Findings showed that the shutdown of the group exercise program during the pandemic led to a health status decline, a reduction in physical activities, and a shift from group to individual physical activities among older adult participants. Most respondents tried the remote exercise opportunities during the pandemic and would consider joining the remote programs in the future. However, about one-fourth of the respondents did not participate in remote exercise activities due to the lack of electronic devices, internet access, or interest in remote activity formats. To ensure equitable access to physical exercise programs for older adults in the post-pandemic era, it is critical to address the access challenges and resources needed for providing multiple programming options.

Barriers, facilitators and referral patterns of general practitioners, physiotherapists, and people with osteoarthritis to exercise

BackgroundBarriers and facilitators of general practitioners (GPs), physiotherapists (PTs), and people with hip and knee osteoarthritis (PwOA) may influence uptake of and referral to guideline-based exercise treatments for OA. ObjectiveTo identify barriers and facilitators of GPs, PTs and PwOA to uptake of and referral to exercise treatments for OA. MethodsAn online survey was circulated to GPs, PTs, and PwOA in Ireland from March to September 2021. Data were collected on demographics, barriers and facilitators, and referral patterns to exercise treatments for OA. Frequency distributions were used to illustrate demographics, barriers and facilitators, and referral patterns to exercise treatments for OA. Results388 stakeholders responded (GPs = 148; PTs = 154; PwOA = 86). Barriers and facilitators were related to (1) stakeholder (e.g., patient tiredness and fatigue), (2) healthcare setting (e.g., appropriate referrals from GP or other sources), and (3) treatment (e.g., low-cost community-based exercise programmes) factors. While 91% of GPs would refer PwOA to physiotherapy if no barriers existed, only 60% would in their current practice. Only 33% of PwOA reported receiving a GP referral to physiotherapy. ConclusionStakeholder, healthcare setting and treatment barriers and facilitators of GPs, PTs, and PwOA influence uptake of and referral to exercise treatments for OA. Future strategies Future strategies addressing these factors may improve implementation of guideline-based management of OA. Contribution of the Paper•Despite an established evidence-based consensus, uptake of and referral to exercise as a first-line treatment for OA is suboptimal, partly influenced by the barriers and facilitators of stakeholders (e.g., GPs, PTs, and PwOA).•Barriers and facilitators that influence uptake of and referral to exercise treatments for OA are related to stakeholder, healthcare setting, and treatment factors.•Majority of PwOA are not receiving GP referrals to physiotherapy, and a mismatch between GPs intentions to and actual referrals to physiotherapy exists, primarily due to long waitlists to access services.•These findings may be adapted to inform strategies for the successful implementation of exercise treatments that are effective in encouraging guideline-based management of OA.

Effect of Human Resource Management Practices on the Growth of Small and Medium Scale Enterprises in Kaduna State

This study examined the effect of human resource management practices on the growth of small and medium scale enterprises in Kaduna state. The study employed descriptive survey design while primary data was used through the administration of structured questionnaire as the source and method of data collection for the study respectively. The population of the study comprises of one hundred and fifty (150) staff from the various SMEs in Kaduna state. The adjusted sample size of the study was computed to be 120 participants using Taro Yamane formula for sample size computation through the use of census as the sampling technique of the study. The data obtained from the respondents were presented using frequency tables, percentages and linear regression (Pearson Correlation). The findings from the study revealed that the independent variables proxied by recruitment and selection, training and development, motivation and remuneration jointly have significant effects on the growth of SMEs in Kaduna State. It is therefore, concluded that human resource management practices is a good driver of SMEs growth in Kaduna State. Therefore, it is recommended that employees who offer the same level of inputs with respect to skills, efforts, qualifications, experience, should be entitled to equitable outcomes in terms of pay, promotion, job security, and opportunity for advancement. Most importantly, additional inputs and outstanding performance should entitle an employee to additional rewards. This study underscores the need for government at all levels as well as the Non-Governmental Organizations to come up with a blue-prints designed at empowering the Small and Medium Scale Business Enterprises in terms of survival funds, recruitment, training, remuneration, and overall human resource management practices with a view to drastically unemployment among youths in Kaduna State, and Nigeria at large.

An Analysis of Trainee Salaries Offered in Nurse Practitioner and Physician Assistant/Associate Postgraduate Residency and Fellowship Programs in the United States.

Background Although there has been steady growth in the number of postgraduate nurse practitioner (NP) and physician assistant/associate (PA) residency and fellowship programs in the United States, little is known about annual salaries paid to trainees across a national sample of postgraduate programs and specialties. We describe postgraduate program NP and PA trainee salaries and the relationship to specific variables. Methodology An electronic survey was distributed via email to 336 postgraduate NP, PA, and joint NP/PAresidency/fellowship programs between November 2023 and December 2023.Frequency tables (for categorical variables) and descriptive statistics (for continuous variables) were used to summarize the data. Chi-square tests of independence were used to determine the relationship between trainee salary and program type, geographical location, and clinical setting. Results There was a statistically significant association between trainee salary for primary care and clinical profession (χ2(6) = 13.993, p = 0.022). Over half of NP respondents(52.1%) reported that their trainees had an annual salary between $76000 and $86000. The majority of PA respondents (57.1%) reported that their trainees had an annual salary below $75000. Respondents who were non-clinical professionals(50.0%) reported that their trainees had an annual salary of over $86000. The single physician respondent also reported that their trainees' had an annual salary of over $86000.It appears that PA respondentswere more likely to report lower trainee salaries than respondents who were NPsand non-clinical professionals. Additionally, respondents associated with primary carejoint NP/PA cohorts were more likely to report higher trainee salaries than participants having NP-only cohorts. Lastly, there was a statistically significantly positive relationship between trainee salary and the number of postgraduate advanced practice provider (APP) trainees in psychiatric mental health (τb= 0.451, p = 0.006). Conclusion To the best of our knowledge, this national study is the first of its kind to examine and summarize APP postgraduate trainee annual salaries across multiple specialties. Additional studies are needed to clarify the relationships between trainee salaries and other variables.

Newly Discovered Temperature‐Related Long‐Period Signals in Lunar Seismic Data by Deep Learning

AbstractLunar seismic data are essential for understanding the Moon's internal structure and geological history. After five decades, the Apollo data set remains the only available one and continues to offer significant value for current and future lunar seismic data analyses. Recent advances in artificial intelligence for seismology have identified seismic signals that were previously unrecognized. In our study, we utilized deep learning for unsupervised clustering of lunar seismograms, leading to the discovery of a new type of long‐period lunar seismic signal that existed every lunar night from 1969 to 1976. We then conducted a thorough analysis covering the timing, frequency, polarization, and temporal distribution characteristics of this signal to study its properties, occurrence, and probable origins. This signal has a physical cause instead of artificial, such as voltage changes, according to its amplitudes during peaked and flat modes, as well as the digital converter status. Based on its relation to the lunar temperature and documents on Apollo instruments, we conclude that this signal is likely induced by the cyclic heater, with several unresolved questions that might challenge our hypothesis. Excluding interference from this newly identified signal is crucial when analyzing lunar seismic data, particularly in detecting lunar free oscillations. Our research introduced a new method for discovering new types of planetary seismic signals and helped advance our understanding of Apollo seismic data. Furthermore, the discovery of this signal holds valuable implications for the design of future planetary seismometers to avoid encountering similar issues.