bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of pharmaceutical care barriers scale in Chinese hospitals: a cross-sectional survey
Authors: Chen Liangjiang , Yang Nan , Huang Yuankai , Xi Xiaoyu 
Published: July 2023

Introduction: Chinese hospitals still face various barriers to implementing pharmaceutical care. The quantitative instrument for measuring these barriers in China is scarce. This study aims to develop and validate a scale for measuring barriers to providing pharmaceutical care in Chinese hospitals from the perspective of clinical pharmacists.Methods: The scale was developed based on existing literature and qualitative interviews with 20 experts. The scale was included in a small-range pilot survey and then administered to a validation survey in 31 provinces in China. Exploratory factor analysis was used to identify the structure of the scale. Confirmatory factor analysis was applied to verify the structure of the scale and to validate the scale’s convergent and discriminative validity. Known-group validity was also examined. Cronbach’s alpha examined the internal consistency reliability of the scale.Results: 292 scales were completed and returned for a response rate of 85.6% in the pilot study. Exploratory factor analysis of the scale suggested a five-factor solution (Cognition and attitude, Knowledge and skills, Objective conditions, External cooperation, and Support from managers) accounting for 66.03% of the total variance. 443 scales were sent out in the validation study, with a response rate of 81.0%. Confirmatory factor analysis demonstrated a good fit of the structural model for pharmaceutical care barriers. It showed the scale’s good convergent and discriminative validity (The average variance extracted &gt;0.5 and composite reliability &gt;0.7). The scale could also identify the differences in total score among the clinical pharmacists from different hospital grades (p &lt; 0.05). Cronbach’s alpha is between 0.658 and 0.896, indicating good internal consistency.Conclusion: From the perspective of clinical pharmacists, this study has developed a scale to assess obstacles to pharmaceutical care. The scale comprehensively encompasses barriers to clinical pharmacists’ cognitive and ability-related aspects, hindrances encountered in collaborating with other health professionals and patients, and barriers to the working environment. The reliability and validity have been established through verification.
The combined effects of napping and self-selected motivation music during warming up on cognitive and physical performance of karate athletes
Authors: Bentouati Emna , Romdhani Mohamed , Abid Rihab , Khemila Syrine , Garbarino Sergio , Souissi Nizar 
Published: July 2023

Introduction: It has been established that napping or listening to motivational music during warm-up is an effective strategy to enhance cognitive and physical performances. However, which could provide better enhancement warrants further investigation. This study aimed to examine the effect of a 30-min nap opportunity (N30), a warm-up with self-selected motivational music (WUMM), and the combination of N30 with WUMM (WUMM + N30) on cognitive and physical performances in karate athletes.Method: In a randomized order, 14 national-level male karate athletes performed four experimental sessions: control, N30, WUMM, and WUMM + N30. Simple (SRT) and choice (CRT) reaction times, selective attention, subjective sleepiness (ESS), mood state (POMS), countermovement jump (CMJ), and karate agility test (KAT) were evaluated before and after an all-out exhaustive task [i.e., the Karate Specific Test (KST)]. Ratings of perceived exertion (RPE) were measured immediately after the KST.Results: Compared to the control, all interventions improved cognitive outcomes, mood, and sleepiness. No effects on physical performances (CMJ and KAT) were found after N30. Compared to N30, WUMM + N30 improved SRT pre- and post-exercise (pre: p &lt; 0.05, d = 0.72; post: p &lt; 0.001, d = 0.14), CRT (pre: p &lt; 0.001, d = 0.07; post: p &lt; 0.001, d = 0.10), attention (pre: p &lt; 0.05, d = 0.06; post: p &lt; 0.01, d = 0.06), mood (pre: p &lt; 0.001, d = 2.53; post: p &lt; 0.001, d = 0.23), and decreased ESS scores (pre: p &lt; 0.01, d = 1.41; post: p &lt; 0.05, d = 1.18). However, there was no significant difference between WUMM and N30. KST performance was not affected by the experimental conditions. However, the KST-induced performance deficit in CMJ and KAT was smaller following WUMM + N30 compared to WUMM and N30. RPE scores were lower following WUMM + N30 and WUMM.Conclusion: These findings suggest that a combination of listening to self-selected motivational music during warm-up with a 30-min nap could be an effective strategy to enhance cognitive and physical performance decline caused by fatigue induced by exercise.
Comparison of behaviorally inhibited and typically developing children’s play behaviors in the preschool classroom
Authors: Druskin Lindsay R. , Novick Danielle R. , Smith Kelly A. , Chronis-Tuscano Andrea , Wagner Nicholas J. , Pham Stephanie , Fleece Hailey M. , Danko Christina M. , Rubin Kenneth H. 
Published: July 2023

IntroductionBehavioral inhibition (BI) is a temperamental trait characterized by a bias to respond with patterns of fearful or anxious behavior when faced with unfamiliar situations, objects, or people. It has been suggested that children who are inhibited may experience early peer difficulties. However, researchers have yet to systematically compare BI versus typically developing children’s observed asocial and social behavior in familiar, naturalistic settings.MethodWe compared the in-school behaviors of 130 (M = 54 months, 52% female) highly inhibited preschoolers (identified using the parent-reported Behavioral Inhibition Questionnaire) to 145 (M = 53 months, 52% female) typically developing preschoolers. Both samples were observed on at least two different days for approximately 60 min. Observers used the Play Observation Scale to code children’s behavior in 10-s blocks during free play. Teachers completed two measures of children’s behavior in the classroom.ResultsRegression models with robust standard errors controlling for child sex, age, and weekly hours in school revealed that preschoolers identified as BI engaged in significantly more observed reticent and solitary behavior, and less social play and teacher interaction than the typically developing sample. Children with BI also initiated social interaction with their peers and teachers less often than their counterparts who were not inhibited. Teachers reported that children identified as BI were more asocial and less prosocial than their non-BI counterparts.DiscussionSignificantly, the findings indicated that inhibited children displayed more solitude in the context of familiar peers. Previous observational studies have indicated behavioral differences between BI and unfamiliar typical age-mates in novel laboratory settings. Children identified as BI did not receive fewer bids for social interaction than their typically developing peers, thereby suggesting that children who are inhibited have difficulty capitalizing on opportunities to engage in social interaction with familiar peers. These findings highlight the need for early intervention for children with BI to promote social engagement, given that the frequent expression of solitude in preschool has predicted such negative outcomes as peer rejection, negative self-regard, and anxiety during the elementary and middle school years.
Treatment as prevention for hepatitis C virus in the Middle East and North Africa: a modeling study
Authors: Ayoub Houssein H. , Mahmud Sarwat , Chemaitelly Hiam , Abu-Raddad Laith J. 
Published: July 2023

BackgroundDirect-acting antivirals opened an opportunity for eliminating hepatitis C virus (HCV) infection in the Middle East and North Africa (MENA), the region most affected by HCV infection. Impact of HCV treatment as prevention (HCV-TasP) was investigated in 19 MENA countries.MethodsAn age-structured mathematical model was used to assess program impact using epidemiologic and programming measures. The model was fitted to a database of systematically gathered HCV antibody prevalence data. Two main scenarios were investigated for the treatment roll-out to achieve (i) 80% reduction in HCV incidence by 2030, and (ii) incidence rate &lt; 1 per 100,000 person-years by 2030.ResultsIn the target-80%-incidence-reduction scenario, number of treatments administrated by 2030 ranged from 2,610 in Lebanon to 180,416 in Sudan with a median of 53,079, and treatment coverage ranged between 40.2 and 78.4% with a median of 60.4%. By 2030, prevalence of chronic infection ranged between 0.0 and 0.3% with a median of 0.1%, and incidence rate, per 100,000 person-years, ranged between 0.9 and 16.3 with a median of 3.2. Program-attributed reduction in incidence rate ranged between 47.8 and 81.9% with a median of 68.5%, and number of averted infections ranged between 401 and 68,499 with a median of 8,703. Number of treatments needed to prevent one new infection ranged from 1.7 in Oman to 25.9 in Tunisia with a median of 6.5. In the target incidence rate  &lt; 1 per 100,000 person-years scenario, number of treatments administrated by 2030 ranged from 3,470 in Lebanon to 211,912 in Sudan with a median of 54,479, and treatment coverage ranged between 55.5 and 95.9% with a median of 87.5%. By 2030, prevalence of chronic infection was less than 0.1%, and incidence rate, per 100,000 person-years, reached less than 1. Program-attributed reduction in incidence rate ranged between 61.0 and 97.5% with a median of 90.7%, and number of averted infections ranged between 559 and 104,315 with a median of 12,158. Number of treatments needed to prevent one new infection ranged from 1.3 in Oman to 25.9 in Tunisia with a median of 5.5.ConclusionHCV-TasP is an effective and indispensable prevention intervention to control MENA’s HCV epidemic and to achieve elimination by 2030.
The impact of multiple non-pharmaceutical interventions for China-bound travel on domestic COVID-19 outbreaks
Authors: Yang Lichao , Hu Mengzhi , Zeng Huatang , Liang Wannian , Zhu Jiming 
Published: July 2023

ObjectivesNon-pharmaceutical interventions (NPIs) implemented on China-bound travel have successfully mitigated cross-regional transmission of COVID-19 but made the country face ripple effects. Thus, adjusting these interventions to reduce interruptions to individuals’ daily life while minimizing transmission risk was urgent.MethodsAn improved Susceptible-Infected-Recovered (SIR) model was built to evaluate the Delta variant’s epidemiological characteristics and the impact of NPIs. To explore the risk associated with inbound travelers and the occurrence of domestic traceable outbreaks, we developed an association parameter that combined inbound traveler counts with a time-varying initial value. In addition, multiple time-varying functions were used to model changes in the implementation of NPIs. Related parameters of functions were run by the MCSS method with 1,000 iterations to derive the probability distribution. Initial values, estimated parameters, and corresponding 95% CI were obtained. Reported existing symptomatic, suspected, and asymptomatic case counts were used as the training datasets. Reported cumulative recovered individual data were used to verify the reliability of relevant parameters. Lastly, we used the value of the ratio (Bias2/Variance) to verify the stability of the mathematical model, and the effects of the NPIs on the infected cases to analyze the sensitivity of input parameters.ResultsThe quantitative findings indicated that this improved model was highly compatible with publicly reported data collected from July 21 to August 30, 2021. The number of inbound travelers was associated with the occurrence of domestic outbreaks. A proportional relationship between the Delta variant incubation period and PCR test validity period was found. The model also predicted that restoration of pre-pandemic travel schedules while adhering to NPIs requirements would cause shortages in health resources. The maximum demand for hospital beds would reach 25,000/day, the volume of PCR tests would be 8,000/day, and the number of isolation rooms would reach 800,000/day within 30 days.ConclusionWith the pandemic approaching the end, reexamining it carefully helps better address future outbreaks. This predictive model has provided scientific evidence for NPIs’ effectiveness and quantifiable evidence of health resource allocation. It could guide the design of future epidemic prevention and control policies, and provide strategic recommendations on scarce health resource allocation.
Current status, trends, and predictions in the burden of silicosis in 204 countries and territories from 1990 to 2019
Authors: Yi Xinglin , He Yi , Zhang Yu , Luo Qiuyue , Deng Caixia , Tang Guihua , Zhang Jiongye , Zhou Xiangdong , Luo Hu 
Published: July 2023

BackgroundSilicosis, a severe lung disease caused by inhaling silica dust, predominantly affects workers in industries such as mining and construction, leading to a significant global public health challenge. The purpose of this study is to analyze the current disease burden of silicosis and to predict the development trend of silicosis in the future the world by extracting data from the GBD database.MethodsWe extracted and analyzed silicosis prevalence, incidence, mortality, and disability-adjusted life years (DALYs) data from the Global Burden of Disease 2019 program for 204 countries and territories from 1990 to 2019. The association between the Sociodemographic Index (SDI) and the burden of age-standardized rates (ASRs) of DALYs has been examined at the regional level. Jointpoint regression analysis has been also performed to evaluate global burden trends of silicosis from 1990 to 2019. Furthermore, Nordpred age-period-cohort analysis has also been projected to predict future the burden of silicosis from 2019 to 2044.ResultsIn 2019, global ASRs for silicosis prevalence, incidence, mortality, and DALYs were 5.383, 1.650, 0.161, and 7.872%, respectively which are lower than that in 1990. The populations of 45–59 age group were more susceptible to silicosis, while those aged 80 or above suffered from higher mortality and DALY risks. In 2019, the most impacted nations by the burden of silicosis included China, the Democratic People’s Republic of Korea, and Chile. From 1990 to 2019, most regions observed a declining burden of silicosis. An “M” shaped association between SDI and ASRs of DALYs for silicosis was observed from 1990 to 2019. The age-period-cohort analysis forecasted a decreasing trend of the burden of silicosis from 2019 to 2044.ConclusionDespite the overall decline in the global silicosis burden from 1990 to 2019, some regions witnessed a notable burden of this disease, emphasizing the importance of targeted interventions. Our results may provide a reference for the subsequent development of appropriate management strategies.
Alzheimer’s disease protein relevance analysis using human and mouse model proteomics data
Authors: Shi Cathy , Gottschalk W. Kirby , Colton Carol A. , Mukherjee Sayan , Lutz Michael W. 
Published: July 2023

The principles governing genotype-phenotype relationships are still emerging (Jovanovic, Science, 2015, 347 (6,226), 1,259,038; Buccitelli et al., Nature Reviews Genetics, 2020, 21 (10), 630–44; Öztürk et al., Nature Communications, 2022, 131), 6,153), and detailed translational as well as transcriptomic information is required to understand complex phenotypes, such as the pathogenesis of Alzheimer’s disease. For this reason, the proteomics of Alzheimer disease (AD) continues to be studied extensively. Although comparisons between data obtained from humans and mouse models have been reported, approaches that specifically address the between-species statistical comparisons are understudied. Our study investigated the performance of two statistical methods for identification of proteins and biological pathways associated with Alzheimer’s disease for cross-species comparisons, taking specific data analysis challenges into account, including collinearity, dimensionality reduction and cross-species protein matching. We used a human dataset from a well-characterized cohort followed for over 22 years with proteomic data available. For the mouse model, we generated proteomic data from whole brains of CVN-AD and matching control mouse models. We used these analyses to determine the reliability of a mouse model to forecast significant proteomic-based pathological changes in the brain that may mimic pathology in human Alzheimer’s disease. Compared with LASSO regression, partial least squares discriminant analysis provided better statistical performance for the proteomics analysis. The major biological finding of the study was that extracellular matrix proteins and integrin-related pathways were dysregulated in both the human and mouse data. This approach may help inform the development of mouse models that are more relevant to the study of human late-onset Alzheimer’s disease.
Contribution of farms to the microbiota in the swine value chain
Authors: Laforge Pascal , Vincent Antony T. , Duchaine Caroline , Feutry Perrine , Dion-Fortier Annick , Plante Pier-Luc , Pouliot Éric , Fournaise Sylvain , Saucier Linda 
Published: July 2023

Introduction: A thorough understanding of the microbial ecology within the swine value chain is essential to develop new strategies to optimize the microbiological quality of pork products. To our knowledge, no study to date has followed the microbiota through the value chain from live farm animals to the cuts of meat obtained for market. The objective of this study is to evaluate how the microbiota of pigs and their environment influence the microbial composition of samples collected throughout the value chain, including the meat plant and meat cuts.Method and results: Results from 16S rDNA sequencing, short-chain fatty acid concentrations and metabolomic analysis of pig feces revealed that the microbiota from two farms with differing sanitary statuses were distinctive. The total aerobic mesophilic bacteria and Enterobacteriaceae counts from samples collected at the meat plant after the pre-operation cleaning and disinfection steps were at or around the detection limit and the pigs from the selected farms were the first to be slaughtered on each shipment days. The bacterial counts of individual samples collected at the meat plant did not vary significantly between the farms. Alpha diversity results indicate that as we move through the steps in the value chain, there is a clear reduction in the diversity of the microbiota. A beta diversity analysis revealed a more distinct microbiota at the farms compared to the meat plant which change and became more uniform as samples were taken towards the end of the value chain. The source tracker analysis showed that only 12.92% of the microbiota in shoulder samples originated from the farms and 81% of the bacteria detected on the dressed carcasses were of unknown origin.Discussion: Overall, the results suggest that with the current level of microbial control at farms, it is possible to obtain pork products with similar microbiological quality from different farms. However, broader studies are required to determine the impact of the sanitary status of the herd on the final products.
Cross-Sectional Associations of Screen Time Activities With Alcohol and Tobacco Consumption Among Brazilian Adolescents
Authors: Santos Priscila Cristina dos , da Costa Bruno Gonçalves Galdino , Lopes Marcus Vinicius Veber , Malheiros Luís Eduardo Argenta , Arundell Lauren , Silva Kelly Samara da 
Published: July 2023

Objectives: Little is known about the association between specific types of screen time and adolescents’ substance use. Thus, this study aimed to investigate the associations between screen time for studying, working, watching movies, playing games, and using social media and frequency of alcohol and tobacco use.Methods: In this cross-sectional study, Brazilian adolescents answered survey questions related to frequency of tobacco and alcohol consumption, and reported their daily volume of five types of screen time. Multilevel ordered logistic regression models were performed.Results: Each 1-hour increase in ST for studying was associated with 26% lower odds of smoking (OR = 0.74; 95% CI: 0.61–0.90) and 17% lower odds of drinking alcohol (OR = 0.83; 95% CI: 0.76–0.91) in the past 30 days. The increase of 1 hour of social media use was associated with 10% greater odds of smoking (OR = 1.10; 95% CI: 1.02–1.18) and a 13% greater chance of consuming alcohol (OR = 1.13; 95% CI: 1.08–1.18) in the past 30 days.Conclusion: The association between screen time and substance use appears to be type-specific. Future longitudinal research is needed to explore causal relationships.
Fungal Pigments: Their Diversity, Chemistry, Food and Non-Food Applications
Authors: Elkhateeb Waill , Daba Ghoson 
Published: July 2023

Colorants have many applications in food, cosmetics, pharmaceutics, textile, paints, plastics, paper, ink and photographic industries. Colorants are classified according to their solubility into dyes and pigments. Those of natural origin have many advantages over synthetic ones, as natural colorants usually do not induce allergies or other health problems. In addition, their consumption in the food and drug industries is fortified with nutritional and health benefits as the majority of them possess antioxidant activity or can be used to produce some vitamins. Plants, animals, insects and microorganisms are rich sources of colorants. However, microbial pigments are favored over other natural pigments due to their higher yield, stability, economical production. Therefore, we focus in this review on fungal pigments, the history of their use, their chemistry and their applications in food and non-food fields. Additionally, the ability of the fungal genus, Epicoccum, to produce pigments is discussed. Moreover, the challenges and future prospects concerning fungal pigment production are highlighted in detail.
Pine Bark as a Potential Source of Condensed Tannin: Analysis through Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray (EDX)
Authors: Feria-Reyes Rossy , Ramírez-Cruz Sergio Obed , Ruiz-Aquino Faustino , Robledo-Taboada Luis Humberto , Sánchez-Medina Marco Antonio , Mijangos-Ricárdez Oscar Francisco , Gabriel-Parra Rosalío , Suárez-Mota Mario Ernesto , Puc-Kauil Ramiro , Porcallo-Vargas Jhazeel 
Published: July 2023

This study aimed to evaluate the tannin content in the bark of five pine species from a forest harvesting area of the Ixtlán de Juárez community, Oaxaca, México. The species studied were Pinus patula, Pinus ayacahuite, Pinus rudis, Pinus douglasiana, Pinus pseudostrobus. The bark samples were subjected to a drying, grinding, and sieving process. These compounds were extracted using two methods: by constant reflux with ethanol for three hours or in a water bath with distilled water for two hours. The percentage of total extract, Stiasny number, and condensed tannins were quantified. The quantitative number of condensed tannins present in the bark for each of the five species studied ranged from 0.65% to 5.14% for the ethanolic extracts and 0.14% to 1.46% for the aqueous extracts. Analysis by Fourier transform infrared spectroscopy (FTIR) identified polyphenolic compounds and functional groups characteristic of tannins. Analysis by scanning electron microscopy (SEM) and X-ray dispersive spectroscopy (EDX) provided the elemental analysis and chemical composition of the tannin extracts, respectively, finding trace elements of silver, cadmium, phosphorus, iodine, and sulfur, which are minerals present in the soil, meaning that through processes of micronutrient absorption, these can interact with the tannins or polyphenols in the barks of the tree species being studied. The results indicate that the bark of P. patula and P. ayacahuite have a higher concentration of condensed tannins, 5.14% and 4.71%, respectively, in the ethanol extraction, and may be susceptible to exploitation due to the amount of bark generated in forestry activities.