Tag: pubmed

Plant Dis. 2023 Sep 20. doi: 10.1094/PDIS-06-23-1122-RE. Online ahead of print.

ABSTRACT

The purpose of our study was to determine whether the application of quinone outside inhibitor (QoI) and pyrazole-carboxamide fungicides as a tank mix would impact the endophyte community of soybean seed. Field trials during 2018 in Iowa, South Dakota, and Wisconsin, USA, investigated the impact of a single combination fungicide spray at early pod set in soybeans. The composition of culturable endophytic fungi in mature soybean seed was assessed on three cultivars per state, with maturity groups (MG) ranging from 1.1 to 4.7. An unusually wet 2018 season delayed harvest, leading to a high level of fungal growth in grain. The survey included 1,080 asymptomatic seeds that were disinfested and individually placed on 5-cm-diameter Petri plates of acidified water agar. The survey yielded 721 fungal isolates belonging to 24 putative species in seven genera; taxa were grouped into genera based on a combination of morphological and molecular evidence. The dominant genera encountered in the survey were Alternaria, Diaporthe, and Fusarium. The study showed that the fungicide treatment reduced the incidence of Fusarium in Wisconsin seed, increased the incidence of Diaporthe in seed from all states, and had no impact on the incidence of Alternaria. This is one of the first attempts to characterize the diversity of seed endophytes in soybean, and the first to characterize the impacts of fungicide spraying on these endophyte communities across three states. Our study provides evidence that the impact of a fungicide spray on soybean seed endophyte communities may be influenced by site, weather, and cultivar maturity group. .

PMID:37729650 | DOI:10.1094/PDIS-06-23-1122-RE

J Patient Saf. 2023 Oct 1;19(7):493-500. doi: 10.1097/PTS.0000000000001155. Epub 2023 Sep 5.

ABSTRACT

OBJECTIVES: Prior research suggests that errors occur frequently for patients with medical complexity during the hospital-to-home transition. Less is known about effective postdischarge communication strategies for this population. We aimed to assess rates of 30-day (1) postdischarge incidents and (2) readmissions and emergency department (ED) visits before and after implementing a hospital-to-home intervention.

METHODS: We conducted a prospective intervention study of children with medical complexity discharged at a children’s hospital from April 2018 to March 2020. A multistakeholder team developed a bundled intervention incorporating the I-PASS handoff framework including a postdischarge telephone call, restructured discharge summary, and handoff communication to outpatient providers. The primary outcome measure was rate of postdischarge incidents collected via electronic medical record review and family surveys. Secondary outcomes were 30-day readmissions and ED visits.

RESULTS: There were 199 total incidents and the most common were medication related (60%), equipment issues (15%), and delays in scheduling/provision of services (11%). The I-PASS intervention was associated with a 36.4% decrease in the rate of incidents per discharge (1.51 versus 0.95, P = 0.003). There were fewer nonharmful errors and quality issues after intervention (1.27 versus 0.85 per discharge, P = 0.02). The 30-day ED visit rate was significantly lower after intervention (12.6% versus 3.4%, per 100 discharges, P = 0.05). Thirty-day readmissions were 15.8% versus 10.2% postintervention (P = 0.32).

CONCLUSIONS: A postdischarge communication intervention for patients with medical complexity was associated with fewer postdischarge incidents and reduced 30-day ED visits. Standardized postdischarge communication may play an important role in improving quality and safety in the transition from hospital-to-home for vulnerable populations.

PMID:37729645 | DOI:10.1097/PTS.0000000000001155

J Patient Saf. 2023 Oct 1;19(7):439-446. doi: 10.1097/PTS.0000000000001152.

ABSTRACT

OBJECTIVES: This study mainly examines the effects of patient safety culture dimensions on 4 outcomes (self-reported errors, witnessing errors, incident reporting, and patient safety grade).

METHODS: The data were collected using the Turkish version of the Safety Attitudes Questionnaire, which consists of 6 dimensions (teamwork climate, safety climate, job satisfaction, stress recognition, perceptions of management, and working conditions). Of 1679 personnel working in 6 hospitals in Ankara, 860 were randomly selected. The data were analyzed using descriptive statistics, the Spearman correlation coefficient, and binary logistic regression analyses.

RESULTS: The response rate was 62.7%. When the overall patient safety culture score increased by 1 point; the probability of witnessing an error was 2 times lower (P < 0.001), the probability of incident reporting was 4.22 times higher (P < 0.001), and the probability of assessing the patient safety grade as excellent was 29.86 times higher (P < 0.001). The teamwork climate was negatively related to making errors and witnessing errors (P < 0.001). The safety climate and working conditions were positively related to incident reporting and patient safety grade (P < 0.001). Job satisfaction was negatively related to incident reporting (P < 0.001). Perceptions of management were positively related to making errors and patient safety grade (P < 0.001).

CONCLUSIONS: The patient safety culture scores were positively correlated with incident reporting and patient safety grade but negatively correlated with the occurrence of errors. Each dimension of the patient safety culture, except stress recognition, affected different outcomes. Therefore, managers should focus on different dimensions of patient safety culture to improve different outcomes.

PMID:37729641 | DOI:10.1097/PTS.0000000000001152

J Phys Chem A. 2023 Sep 20. doi: 10.1021/acs.jpca.3c03015. Online ahead of print.

ABSTRACT

The variational quantum eigensolver algorithm recently became a popular method to compute the quantum chemical properties of molecules on noisy intermediate scale quantum (NISQ) devices. In order to avoid noise accumulation from the NISQ device in the quantum circuit, it is important to keep the so-called quantum depth of the circuit at a minimum, defined as the minimum number of quantum gates that must be operated sequentially. In the present work, we introduce a modular 2-qubit cluster circuit that allows for the design of a shallow-depth quantum circuit compared to previously proposed architectures without loss of chemical accuracy. Moreover, by virtue of the simplicity of the cluster circuit, it is possible to assign a valence bond chemical interpretation to the cluster circuit. The design was tested on the H₂, (H₂)₂, and LiH molecules, as well as the finite-size transverse-field Ising model, as the latter provides additional insights into the construction of the circuit in a resonating valence bond picture.

PMID:37729640 | DOI:10.1021/acs.jpca.3c03015

J Chin Med Assoc. 2023 Sep 19. doi: 10.1097/JCMA.0000000000000999. Online ahead of print.

ABSTRACT

BACKGROUND: Population aging is emerging as an increasingly acute challenge for countries around the world. One particular manifestation of this phenomenon is the impact of osteoporosis on individuals and national health systems. Previous studies of risk factors for osteoporosis were conducted using traditional statistical methods, but more recent efforts have turned to machine learning approaches. Most such efforts, however, treat the target variable (bone mineral density or fracture rate) as a categorical one which provides no quantitative information. The present study uses five different machine learning methods to analyze the risk factors for T-score of bone mineral density, seeking to: (1) Compare the prediction accuracy between different machine learning methods and traditional multiple linear regression and (2) rank the importance of 25 different risk factors.

METHODS: The study sample includes 24,412 women aged > 55 y/o with 25 related variables, applying traditional multiple linear regression (MLR) and five different machine learning methods: classification and regression tree (CART), Naïve Bayes (NB), Random Forest (RF), stochastic gradient boosting (SGB), and eXtreme Gradient Boosting (XGBoost). The metrics used for model performance comparisons are the symmetric mean absolute percentage error, and relative absolute error, root relative squared error and root mean squared error.

RESULTS: Machine learning approaches outperformed MLR for all four prediction errors. The average importance ranking of each factor generated by the machine learning methods indicate that age is the most important factor determining T-score, followed by eGFR, BMI, UA, and education level.

CONCLUSION: In a group of women aged > 55 years, we demonstrated that machine learning methods provide superior performance in estimating T-Score, with age being the most important impact factor, followed by eGFR, BMI, UA, and education level.

PMID:37729604 | DOI:10.1097/JCMA.0000000000000999

Nano Lett. 2023 Sep 20. doi: 10.1021/acs.nanolett.3c01714. Online ahead of print.

ABSTRACT

Wear of sliding contacts causes device failure and energy costs; however, the microscopic principle in activating wear of the interfaces under stress is still open. Here, the typical nanoscale wear, in the case of silicon against silicon dioxide, is investigated by single-asperity wear experiments and density functional theory calculations. The tests demonstrate that the wear rate of silicon in ambient air increases exponentially with stress and does not obey classical Archard’s law. Series calculations of atomistic wear reactions generally reveal that the mechanical stress linearly drives the electron transfer to activate the sequential formation and rupture of interfacial bonds in the atomistic wear process. The atomistic wear model is thus resolved by combining the present stress-driven electron transfer model with Maxwell-Boltzmann statistics. This work may advance electronic insights into the law of nanoscale wear for understanding and controlling wear and manufacturing of material surfaces.

PMID:37729549 | DOI:10.1021/acs.nanolett.3c01714

Am J Manag Care. 2023 Sep;29(9):455-462. doi: 10.37765/ajmc.2023.89425.

ABSTRACT

OBJECTIVES: To determine agreement between variables capturing the primary payer at cancer diagnosis across the Pennsylvania Cancer Registry (PCR) and statewide facility discharge records (Pennsylvania Health Care Cost Containment Council [PHC4]) for adults younger than 65 years, and to specifically examine factors associated with misclassification of Medicaid status in the registry given the role of managed care.

STUDY DESIGN: Cross-sectional analysis of the primary cancer cases among adults aged 21 to 64 years in the PCR from 2010 to 2016 linked to the PHC4 facility visit records.

METHODS: We assessed agreement of payer at diagnosis (Medicare, Medicaid, private, other, uninsured, unknown) across data sources, including positive predictive value (PPV) and sensitivity, using the PHC4 records as the gold standard. The probability of misclassifying Medicaid in registry was estimated using multivariate logit models.

RESULTS: Agreement of payers was high for private insurance (PPV, 89.7%; sensitivity, 83.6%), but there was misclassification and/or underreporting of Medicaid in the registry (PPV, 80%; sensitivity, 58%). Among cases with “other” and “unknown” insurance, 73.8% and 62.1%, respectively, had private insurance according to the PHC4 records. Medicaid managed care was associated with a statistically significant increase of 12.6 percentage points (95% CI, 9.4-15.8) in the probability of misclassifying Medicaid enrollment as private insurance in the registry.

CONCLUSIONS: Findings suggest caution in conducting and interpreting research using insurance variables in cancer registries.

PMID:37729528 | DOI:10.37765/ajmc.2023.89425

J Strength Cond Res. 2023 Oct 1;37(10):2071-2075. doi: 10.1519/JSC.0000000000004584.

ABSTRACT

Buso, D, Willardson, JM, and Shafer, AB. Research note: Effects of medicine wall ball throws with whole-body vibration on bat swing performance in collegiate baseball players. J Strength Cond Res 37(10): 2071-2075, 2023-The purpose of this study was to examine the effect of medicine ball wall throws performed with whole-body vibration on bat swing performance in 13 highly trained collegiate baseball players. The experimental session involved the athletes’ usual warm-up followed by baseline bat swings. The baseline bat swings were followed by 3 sets of 5 medicine ball wall throws while standing on a whole-body vibration platform set at 40 Hz and with 30 seconds rest between sets. Subjects then rested passively for 5 minutes before taking post-test bat swings. Performance was evaluated with bat speed (m·second-1), time to contact (secs), rotational acceleration (G’s), and exit velocity (m·second-1). Paired t tests were used to compare baseline and post-test values (p ≤ 0.05). Effect size (d) statistics were also calculated to determine the magnitude of treatment effects. It was found that bat speed (p = 0.02; d = 0.22) and exit velocity (p = 0.03; d = 0.48) were significantly faster versus baseline, whereas rotational acceleration (p = 0.10; d = 0.23) and time to contact (p = 0.44; d = -0.12) were not significantly different from baseline, respectively. These results suggest that the addition of medicine ball wall throws with whole-body vibration can significantly increase key parameters of bat swing performance. Practitioners and coaches may consider including these combined exercise stimuli as part of workouts or during games for potentially greater success at the plate.

PMID:37729518 | DOI:10.1519/JSC.0000000000004584

J Strength Cond Res. 2023 Oct 1;37(10):2016-2022. doi: 10.1519/JSC.0000000000004502.

ABSTRACT

Faulhaber, M, Schneider, S, Rausch, LK, Dünnwald, T, Menz, V, Gatterer, H, Kennedy, MD, and Schobersberger, W. Repeated short-term bouts of hyperoxia improve aerobic performance in acute hypoxia. J Strength Cond Res 37(10): 2016-2022, 2023-This study aimed to test the effects of repeated short-term bouts of hyperoxia on maximal 5-minute cycling performance under acute hypoxic conditions (3,200 m). Seventeen healthy and recreationally trained individuals (7 women and 10 men) participated in this randomized placebo-controlled cross-over trial. The procedures included a maximal cycle ergometer test and 3 maximal 5-minute cycling time trials (TTs). TT1 took place in normoxia and served for habituation and reference. TT2 and TT3 were conducted in normobaric hypoxia (15.0% inspiratory fraction of oxygen). During TT2 and TT3, the subjects were breathing through a face mask during five 15-second periods. The face mask was connected through a nonrebreathing T valve to a 300-L bag filled with 100% oxygen (intermittent hyperoxia) or ambient hypoxic air (placebo). The main outcome was the mean power output during the TT. Statistical significance level was set at p < 0.05. The mean power output was higher in the intermittent hyperoxia compared with the placebo condition (255.5 ± 49.6 W vs. 247.4 ± 48.2 W, p = 0.001). Blood lactate concentration and ratings of perceived exertion were significantly lower by about 9.7 and 7.3%, respectively, in the intermittent hyperoxia compared with the placebo condition, whereas heart rate values were unchanged. IH application increased arterial oxygen saturation (82.9 ± 2.6% to 92.4 ± 3.3%, p < 0.001). Repeated 15-second bouts of hyperoxia, applied during high-intensity exercise in hypoxia, are sufficient to increase power output. Future studies should focus on potential dose-response effects and the involved mechanisms.

PMID:37729514 | DOI:10.1519/JSC.0000000000004502

J Strength Cond Res. 2023 Oct 1;37(10):1929-1938. doi: 10.1519/JSC.0000000000004498.

ABSTRACT

Nagatani, T, Kendall, KL, Guppy, SN, Poon, WCK, and Haff, GG. Effect of 3 different set configurations on kinematic variables and internal loads during a power snatch session. J Strength Cond Res 37(10): 1929-1938, 2023-The aim of this study was to investigate the effect of 3 different set configurations on kinematic variables and internal loads during multiple sets performed with the power snatch. Ten strength-power athletes with at least 6 months of training experience performing the power snatch participated in this study, which consisted of 3 experimental protocols performed in a randomized repeated-measures design. The 3 protocols involved performing the power snatch for 3 sets of 5 repetitions at an average load of 75% 1 repetition maximum with a traditional (TRAD), cluster (CLU), or ascending cluster (A-CLU) protocol, where the training load was progressively increased across the set. Kinematic variables and internal loads (heart rate, blood lactate, and rate of perceived exertion) were measured during each protocol. The athletes maintained peak velocity (PV) and peak power (PP) and exhibited lower internal loads during CLU sets when compared with TRAD sets, whereas they displayed significant decreases in PV during TRAD sets. However, there were no statistically significant differences in PV and PP responses between the TRAD and CLU protocol. The athletes exhibited a significant decrease in PV, whereas PP was increased across each set in the A-CLU protocol, with lower internal loads observed compared with the TRAD protocol. Overall, the training loads used in this study do not appear to maximize the benefits of using CLU set during 3 sets of power snatches performed for 5 repetitions. In addition, A-CLU sets may potentially be useful as a means of maximizing the power output of the athlete.

PMID:37729510 | DOI:10.1519/JSC.0000000000004498