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1.
Plant Environ Interact ; 4(5): 258-274, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37822731

ABSTRACT

Cannabis sativa L. is a versatile crop attracting increasing attention for food, fiber, and medical uses. As a dioecious species, males and females are visually indistinguishable during early growth. For seed or cannabinoid production, a higher number of female plants is economically advantageous. Currently, sex determination is labor-intensive and costly. Instead, we used rapid and non-destructive hyperspectral measurement, an emerging means of assessing plant physiological status, to reliably differentiate males and females. One industrial hemp (low tetrahydrocannabinol [THC]) cultivar was pre-grown in trays before transfer to the field in control soil. Reflectance spectra were acquired from leaves during flowering and machine learning algorithms applied allowed sex classification, which was best using a radial basis function (RBF) network. Eight industrial hemp (low THC) cultivars were field grown on fertilized and control soil. Reflectance spectra were acquired from leaves at early development when the plants of all cultivars had developed between four and six leaf pairs and in three cases only flower buds were visible (start of flowering). Machine learning algorithms were applied, allowing sex classification, differentiation of cultivars and fertilizer regime, again with best results for RBF networks. Differentiating nutrient status and varietal identity is feasible with high prediction accuracy. Sex classification was error-free at flowering but less accurate (between 60% and 87%) when using spectra from leaves at early growth stages. This was influenced by both cultivar and soil conditions, reflecting developmental differences between cultivars related to nutritional status. Hyperspectral measurement combined with machine learning algorithms is valuable for non-invasive assessment of C. sativa cultivar and sex. This approach can potentially improve regulatory security and productivity of cannabis farming.

2.
Thorax ; 73(12): 1128-1136, 2018 12.
Article in English | MEDLINE | ID: mdl-29950525

ABSTRACT

BACKGROUND: Lung cancer outcomes in the UK are worse than in many other developed nations. Symptom awareness campaigns aim to diagnose patients at an earlier stage to improve cancer outcomes. METHODS: An early diagnosis campaign for lung cancer commenced in Leeds, UK in 2011 comprising public and primary-care facing components. Rates of community referral for chest X-ray and lung cancer stage (TNM seventh edition) at presentation were collected from 2008 to 2015. Linear trends were assessed by χ2 test for trend in proportions. Headline figures are presented for the 3 years pre-campaign (2008-2010) and the three most recent years for which data are available during the campaign (2013-2015). FINDINGS: Community-ordered chest X-ray rates per year increased from 18 909 in 2008-2010 to 34 194 in 2013-2015 (80.8% increase). A significant stage shift towards earlier stage lung cancer was seen (χ2(1)=32.2, p<0.0001). There was an 8.8 percentage point increase in the proportion of patients diagnosed with stage I/II lung cancer (26.5% pre-campaign vs 35.3% during campaign) and a 9.3% reduction in the absolute number of patients diagnosed with stage III/IV disease (1254 pre-campaign vs 1137 during campaign). INTERPRETATION: This is the largest described lung cancer stage-shift in association with a symptom awareness campaign. A causal link between the campaign and stage-shift cannot be proven but appears plausible. Limitations of the analysis include a lack of contemporary control population.


Subject(s)
Early Detection of Cancer/trends , General Practice/education , Health Education , Lung Neoplasms/diagnostic imaging , Lung Neoplasms/pathology , Abdominal Neoplasms , Aged , Aged, 80 and over , Diagnostic Self Evaluation , Female , Health Knowledge, Attitudes, Practice , Humans , Male , Middle Aged , Neoplasm Staging , Primary Health Care , Radiography, Thoracic/trends , Symptom Assessment , United Kingdom
3.
J Prev Interv Community ; 45(4): 261-273, 2017.
Article in English | MEDLINE | ID: mdl-28880807

ABSTRACT

The Democratic Republic of Congo (DRC) has experienced widespread violence, including sexual violence. Sexual violence toward women includes rape, genital mutilation, and sexual slavery. Many Congolese have sought to escape such conditions as refugees in the USA. In the present study, we examined lived spiritual experiences of nine Congolese refugee women survivors of sexual violence. Overall, this study provides new insights into participants' experiences of spirituality in the aftermath of sexual trauma and in living as a refugees. Consensual qualitative research (CQR) methods were used to analyze participants' responses to a semistructured interview protocol. Participants endorsed faith that God was in control, reliance on prayer, gratitude toward God, and difficulty practicing their faith in the USA relative to Africa. Results indicated that religion/spirituality is an integral part of the women's lives and that it appears to facilitate coping. Clinical and community mental health implications are discussed.


Subject(s)
Psychological Trauma/psychology , Refugees/psychology , Religion , Sex Offenses/psychology , Adaptation, Psychological , Adult , Aged , Congo/ethnology , Female , Humans , Middle Aged , United States/epidemiology
4.
J Environ Manage ; 172: 1, 2016 May 01.
Article in English | MEDLINE | ID: mdl-26905445
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