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Rush skeletonweed is an aggressive perennial weed that establishes itself on land in the Conservation Reserve Program (CRP), and persists during cropping following contract expiration. It depletes critical soil moisture required for yield potential of winter wheat. In a winter wheat/fallow cropping system, weed control is maintained with glyphosate and tillage during conventional fallow, and with herbicides only in no-till fallow. Research was conducted for control of rush skeletonweed at two sites in eastern Washington, Lacrosse and Hay, to compare the effectiveness of a weed-sensing sprayer and broadcast applications of four herbicides (aminopyralid, chlorsulfuron + metsulfuron, clopyralid, and glyphosate). Experimental design was a split-plot with herbicide and application type as main and subplot factors, respectively. Herbicides were applied in the fall at either broadcast or spot-spraying rates depending on sprayer type. Aminopyralid (1.1 plants m-2), glyphosate (1.4 plants m-2), clopyralid (1.7 plants m-2), and chlorsulfuron + metsulfuron (1.8 plants m-2) reduced rush skeletonweed density in May compared to the nontreated check (2.6 plants m-2). No treatment differences were observed after May 2019. There was no interaction between herbicide and application system. Area covered using the weed-sensing sprayer was, on average, 52% (p<0.001) less than the broadcast application at Lacrosse but only 20% (p=0.01) at Hay. Spray reduction is dependent on foliar cover in relation to weed density and size. At Lacrosse, the weed-sensing sprayer reduced costs for all herbicide treatments except aminopyralid, with savings up to 6.8 US$ ha-1. At Hay, the weed-sensing sprayer resulted in economic loss for all products because of higher rush skeletonweed density. The weed-sensing sprayer is a viable fallow weed control tool when weed densities are low or patchy.
The article examines infection with viral hepatitis A, B, and C and socio-ethnic factors in a population of injection drug users seeking treatment. The study was conducted between 2001 and 2003 in a rural German hospital; selected sociodemographic and drug-related data as well as a serology for hepatitis A, B and C were obtained from 1499 patients. Statistical analyses were performed by univariate analysis of variance and post-hoc Scheffé tests or with the c2-test and Bonferroni-adjustment. Ethnic minority patients manifested a more severe course of addiction and showed a higher frequency of infection with hepatitis A, B, and C. Low-threshold culture sensitive drug user treatment programs should be implemented and evaluated.
False-positive drug screenings have been reported for several drugs and can affect the therapeutic relationship.
We wanted to find out, which medication can cause false-positive phencyclidine drug screenings.
We systematically looked at all psychiatric inpatients with phencyclidine positive urine drug screenings using a kinetic interaction of microparticles in a solution (KIMS) based system treated in our psychiatric department between 2008 and 2013.
39 of 40 positive phencyclidine urine drug screenings could plausibly be explained as false-positives by psychopharmacologic medication. The most frequent common medication in our case series was chlorprothixene, which has not been reported as a cause for any false-positive drug screenings so far. We also found trimipramine as a medication in three cases, being structurally similar to imipramine, which has been reported before to potentially cause cross-reactivity. Other false-positive results could be explained by venlafaxine, lamotrigine, imipramine and tramadol, which have been reported to have the capacity for cross-reactivity. Chlorprothixene and venlafaxine accounted for almost 75 % of the positive screenings.
Confirmation by a second method like gas chromatography/mass spectrometry should follow positive drug screenings for phencyclidine.
The study examined the developmental trajectories of deliberate self-harm behavior (e.g. of non-suicidal self-injury, suicidality and substance use) in a community sample of 514 adolescents from 14.5 to 16.5 years of age. Data were taken from the German sample of the Saving and Empowering Young Lives in Europe study (SEYLE; Wasserman et al., 2010) and its consecutive follow-up assessments. Using general growth mixture modeling, distinctive classes for each self-harm behavior were identified. The high risk non-suicidal self-injury class as well as the high risk suicidality class demonstrated high initial values with a gradual decrease over adolescence. The substance use high risk class had a low initial value and presented acceleration with time. The high overlap between the three high-risk classes supports the notion that certain personality traits such as affective dysregulation or impulsivity may underlie these three behaviors. Compared to the low or moderate risk classes, individuals belonging to high risk classes revealed significantly higher scores in the SCID-II questionnaire for DSM-IV borderline personality disorder.
The updated common rule, for human subjects research, requires that consents “begin with a ‘concise and focused’ presentation of the key information that will most likely help someone make a decision about whether to participate in a study” (Menikoff, Kaneshiro, Pritchard. The New England Journal of Medicine. 2017; 376(7): 613–615.). We utilized a community-engaged technology development approach to inform feature options within the REDCap software platform centered around collection and storage of electronic consent (eConsent) to address issues of transparency, clinical trial efficiency, and regulatory compliance for informed consent (Harris, et al. Journal of Biomedical Informatics 2009; 42(2): 377–381.). eConsent may also improve recruitment and retention in clinical research studies by addressing: (1) barriers for accessing rural populations by facilitating remote consent and (2) cultural and literacy barriers by including optional explanatory material (e.g., defining terms by hovering over them with the cursor) or the choice of displaying different videos/images based on participant’s race, ethnicity, or educational level (Phillippi, et al. Journal of Obstetric, Gynecologic, & Neonatal Nursing. 2018; 47(4): 529–534.).
We developed and pilot tested our eConsent framework to provide a personalized consent experience whereby users are guided through a consent document that utilizes avatars, contextual glossary information supplements, and videos, to facilitate communication of information.
The eConsent framework includes a portfolio of eight features, reviewed by community stakeholders, and tested at two academic medical centers.
Early adoption and utilization of this eConsent framework have demonstrated acceptability. Next steps will emphasize testing efficacy of features to improve participant engagement with the consent process.
The deviation from thermodynamic equilibrium of the ion velocity distribution functions (VDFs), as measured by the Magnetospheric Multiscale (MMS) mission in the Earth’s turbulent magnetosheath, is quantitatively investigated. Making use of the unprecedented high-resolution MMS ion data, and together with Vlasov–Maxwell simulations, this analysis aims at investigating the relationship between deviation from Maxwellian equilibrium and typical plasma parameters. Correlations of the non-Maxwellian features with plasma quantities such as electric fields, ion temperature, current density and ion vorticity are found to be similar in magnetosheath data and numerical experiments, with a poor correlation between distortions of ion VDFs and current density, evidence that questions the occurrence of VDF departure from Maxwellian at the current density peaks. Moreover, strong correlation has been observed with the magnitude of the electric field in the turbulent magnetosheath, while a certain degree of correlation has been found in the numerical simulations and during a magnetopause crossing by MMS. This work could help shed light on the influence of electrostatic waves on the distortion of the ion VDFs in space turbulent plasmas.
New cryogenic characterization techniques for exploring the nanoscale structure and chemistry of intact solid–liquid interfaces have recently been developed. These techniques provide high-resolution information about buried interfaces from large samples or devices that cannot be obtained by other means. These advancements were enabled by the development of instrumentation for cryogenic focused ion beam liftout, which allows intact solid–liquid interfaces to be extracted from large samples and thinned to electron-transparent thicknesses for characterization by cryogenic scanning transmission electron microscopy or atom probe tomography. Future implementation of these techniques will complement current strides in imaging of materials in fluid environments by in situ liquid-phase electron microscopy, providing a more complete understanding of the morphology, surface chemistry, and dynamic processes that occur at solid–liquid interfaces.
The repetitive use of ALS inhibitors for smallflower umbrella sedge (Cyperus difformis L.) control has selected for herbicide-resistant (R) populations that threaten the sustainability of rice (Oryza sativa L.) production and demand alternative control measures be developed. A better understanding of seedling recruitment patterns at the field level is required to optimize the timing and efficacy of control measures. Therefore, a population-based threshold model was developed for optimizing germination prediction in multiple acetolactate synthase (ALS)-R and ALS-susceptible (ALS-S) C. difformis biotypes and applied to field-level emergence predictions. Estimated base temperatures (Tb) ranged from 16.5 to 17.6 C with no clear pattern between biotypes; such values are higher than Tb values of other important rice weeds, as well as for rice. Germination rates increased linearly from 16 to 33.7 C. ALS-R seeds germinate faster due to smaller median thermal times to germination (θT(50)) while also displaying lower germination synchronicity across water potentials. Interestingly, ALS-R biotypes were capable of germinating under lower moisture availability, as indicated by their lower (more negative) base water potential values (Ψb(50)) for seed germination; Ψb(50) values ranged from −0.24 to −1.13 MPa. In-field soil germination measurements found thermal times to emergence varied across three water regimes (daily water, flooded, or saturated). Seedling emergence under the daily water treatment was fastest; however, total seedling density was lower than for the other water regimes. In order to optimize springtime C. difformis seedling emergence, soil moisture should be kept around field capacity, as germination is hindered at lower moisture contents. By predicting when most of the seed population germinates, the thermal-time model can address issues regarding the optimal timing for herbicide applications, thereby allowing for improved C. difformis management in rice fields.
Albania's long road from communism to some form of market-oriented democracy has been complicated by the unburied ghosts of its Hoxhaist past. The most brutal aspects of Enver Hoxha’s regime (which lasted from 1944 to his death in 1985) are long gone, including its state-of-siege isolation, its endless political murders, its prisons, its forced labor camps, and the hardships of long internal exile. But some aspects of authoritarian rule live on: the elite’s general disregard for the well-being of the people and for the best interests of the state, brutal and intolerant politics, and an inability to consolidate the rule of law. These issues have plagued both of Albania's major post-communist parties, the Socialist Party and the Democratic Party. When communism finally collapsed in 1990–1991, the Democrats under Sali Berisha came to power. While Berisha presided over profound economic and social change, his party became a personal vehicle for his own power as, like Hoxha, he refused to permit internal dissent, with his security forces and thugs being deployed to disrupt opposition rallies, and to harass and assault opposition supporters, candidates, and the press. With some interruptions, Berisha’s increasingly corrupt regime survived until 2013 when the Socialists under Edi Rama, the young mayor of Tirana, were swept to power. While not quite the promised “Renaissance”, the Rama regime has moved Albania closer to its goals, through fairer elections and the beginnings of other reforms. Rama was duly rewarded with the gift of European Union Candidate status. But many of the old ways linger. Corruption remains all-pervasive, politics remains brutal, and it is the people of Albania who suffer. Albania’s “transition” remains far from complete.
Smallflower umbrella sedge is a prolific C3 weed commonly found in rice fields in 47 countries. The increasing infestation of herbicide-resistant smallflower umbrella sedge populations threatens rice production. Our objectives for this study were to characterize thermal requirements for germination of smallflower umbrella sedge seeds from rice fields in California and to parameterize a population thermal-time model for smallflower umbrella sedge germination. Because the use of modeling techniques is hampered by the lack of thermal-time model parameters for smallflower umbrella sedge seed germination, trials were carried out by placing field-collected seeds in a thermogradient table set at constant temperatures of 11.7 to 41.7 C. Germination was assessed daily for 30 d, and the whole experiment was repeated a month later. Using probit regression analysis, thermal time to median germination [θT(50)], base temperature for germination (Tb), and SD of thermal times for germination [σθT(50)] were estimated from germination data, and model parameters were derived using the Solver tool in Microsoft Excel®. Germination rates increased linearly below the estimated optimum temperatures of 33.5 to 36 C. Estimated Tb averaged 16.7 C, whereas θT(50) equaled 17.1 degree-days and σθT(50) was only 0.1 degree-day. The estimated Tb for smallflower umbrella sedge is remarkably higher than that of japonica and indica types of rice, as well as Tb of important weeds in the Echinochloa complex. Relative to the latter, smallflower umbrella sedge has lower thermal-time requirements to germination and greater germination synchronicity. However, it would also initiate germination much later because of its higher Tb, given low soil temperatures early in the rice growing season in California. When integrated into weed growth models, these results might help optimize the timing and efficacy of smallflower umbrella sedge control measures.
Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9.
We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy.
16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (−0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).
PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.