We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Peanut (Arachis hypogaea L.) and maize (Zea mays L.) are essential crops for Ghana’s economy and food security, but weed infestation poses a significant threat to their cultivation. Crop rotations influence weed communities, but little is known about these processes in peanut-cropping systems in West Africa. This study investigated the impact of different crop rotations and input levels on weed communities in Ghana over 3 yr. Results showed that low inputs (absence of herbicide and fertilization) favored species richness, while higher input levels (weed control with herbicides and fertilizer use) reduced it. Diversity and evenness were also affected by inputs, with varying patterns across locations and seasons. Weed population growth rates (λ) varied significantly by location and treatment; all management programs resulted in increasing weed populations. Principal component analysis revealed distinct associations between weed species and crop management. The majority of weed species exhibited a generalist behavior and did not associate with a particular management. However, billygoat weed (Ageratum conyzoides L.) and Benghal dayflower (Commelina benghalensis L.) were positively associated with high-input systems, while purple nutsedge (Cyperus rotundus L.) exhibited strong associations with low and medium inputs. The weed–crop rotation dynamics described here demonstrate how management drives the selection of weed species that are more pervasive and interfere with important food crops in Ghanaian agriculture.
To investigate the latent factor structure and construct validity of the Verbal Series Attention Test (VSAT) across clinical patient populations.
Participants and Methods:
Participants included a consecutive series of clinical patients presenting with a primary memory complaint. Each patient underwent a comprehensive neuropsychological assessment and provided informed consent to allow their clinical data to be used for research. Groups formed included 1) No Neurocognitive Disorder [NoND, N=262, mean age=68.8, mean education=16.2, mean MMSE=28.3], 2) Mild Neurocognitive Disorder [MildND, N=337, mean age=72.3, mean education=15.4, mean MMSE=28.7], and 3)
Major Neurocognitive Disorder [MajorND, N=524, mean age=76.5, mean education=14.5, mean MMSE=19.0] with etiologies including suspected Alzheimer’s disease and/or vascular pathology. Latent factors were investigated using exploratory factor analysis (EFA).
Results:
EFA was conducted using SAS 9.4 software and the promax (oblique) rotation to reveal the latent factors of the eight timed items of the VSAT in each of the three clinical groups. The structure was essentially identical in all three groups with two primary factors consistently emerging identified as 1-Complex Attention and 2-Simple Attention. Each factor had four items loading with a correlation range of > 0.37 x < 0.92. The internal consistency (Cronbach’s alpha) for the VSAT total score in each group was excellent (NoND a=0.83, MildND a=0.81, and MajorND a=0.84). To investigate construct validity, the VSAT items were entered into factor analysis with measures of attention and executive function (i.e., Digit Span [forward, backward, sequence], Trail Making Test A & B, semantic fluency (animals), Controlled Oral Word Association Test [COWAT, FAS]). All three patient groups were combined (N=950) given the VSAT’s consistent factor structure. Using the same EFA procedure as before, two main factors emerged with the VSAT Complex Attention variables loading on a general complex attention/working memory factor including Trails B, semantic fluency, and Digit Span subtests. The VSAT Simple Attention items loaded on a general attention factor with the VSAT Simple Attention variables and Trails A. COWAT did not load significantly on either factor.
Conclusions:
The latent factor structure of the VSAT was consistent across patient populations with excellent internal consistency in each clinical group. The Complex and Simple Attention factors of the VSAT loaded on factors with similar variables identifying the anticipated latent factor structure demonstrating the construct validity of the VSAT across a wide spectrum of cognitive impairment in patients with primary memory complaints ranging from NoND to MajorND. This supports the use of the VSAT in patients across neurocognitive severity. Future studies will further explore additional psychometric properties of this instrument.
The next generation of high-power lasers enables repetition of experiments at orders of magnitude higher frequency than what was possible using the prior generation. Facilities requiring human intervention between laser repetitions need to adapt in order to keep pace with the new laser technology. A distributed networked control system can enable laboratory-wide automation and feedback control loops. These higher-repetition-rate experiments will create enormous quantities of data. A consistent approach to managing data can increase data accessibility, reduce repetitive data-software development and mitigate poorly organized metadata. An opportunity arises to share knowledge of improvements to control and data infrastructure currently being undertaken. We compare platforms and approaches to state-of-the-art control systems and data management at high-power laser facilities, and we illustrate these topics with case studies from our community.
The anesthesia workstation, commonly referred to as the “anesthesia machine,” is a complex and very specialized piece of equipment that is relatively unique in medical practice. It is, in essence, a device to control the delivery of medical gases to patients, including oxygen, air, nitrous oxide, and volatile anesthetics, along with a specialized ventilator adapted to operating room conditions. The safe use of the anesthesia workstation requires proper training, preuse checkout, and continuous monitoring of its function. The medical literature is replete with examples of patient harm from inappropriate use of the anesthesia workstation and from mechanical or electrical failure of its components. Additionally, volatile anesthetics, while valuable in medical practice, have a very low therapeutic index and manifest severe, and even fatal, side effects when administered improperly. Finally, many patients under general anesthesia are paralyzed for surgery and ventilated through an endotracheal tube. Their safety is completely dependent on the anesthesia professional’s use of the anesthesia workstation to deliver breathing gases, remove carbon dioxide from exhaled gas, and precise administration of volatile anesthetics.
The fine microstructure resulting from the martensitic transformation drives many of the desired mechanical properties for quench-and-temper steels. The scale of martensite features correlates with austenite grain size, such that finer austenite grains produce finer martensitic structures. Measuring prior austenite grain (PAG) size from observations of the hierarchical martensitic structure using etch-based techniques remains challenging, especially for fine-grained specimens with low C and P content. This has driven an interest in our field in reconstructing prior austenite microstructure from electron backscatter diffraction (EBSD) data collected on tempered martensite. However, reliably reconstructing the data is not straightforward because (1) up to 24 variants can theoretically be observed from a single PAG; (2) the shear-induced plasticity that arises from martensite formation produces significant scatter in the pole figure; (3) there is inherent noise in Hough-indexed EBSD data; (4) annealing twins exist within many PAGs, producing martensite variants of similar orientations when compared with the parent grains; and (5) variation in austenite orientation can occur across a single PAG. To the author's knowledge, the majority of reconstruction algorithms published to date utilize either point-to-point or flood-fill approaches, which can produce artifacts due to the relatively high probability of adjacent EBSD observations falling within any reasonable tolerance angle with 24 variants in a parent and four annealing twin orientations. Therefore, we propose a probabilistic austenite reconstruction technique based on a clustering algorithm known as graph cutting. We demonstrate its application to steels and a binary ferrous alloy, then validate the results against chemical etching and retained austenite orientations. The graph cutting technique utilizes the misorientation distribution of martensitic variants and the potential austenite orientations for each observation, as estimated via Bayesian inference of the experimental orientation relationship and its scatter. It is found that this technique produces accurate reconstructions with identification of annealing twins in the PAGs, even in the presence of a large fraction of poorly indexed data points.
Child and adolescent mental health (CAMHS) wards treat patients with variable presentations. During diagnosis and treatment, psychiatric professionals use structured criteria, but also honed awareness of countertransference. Unacknowledged emotional responses can produce powerful dynamics and impact patient care.
Limited information exists on possible emotional responses and team dynamics when working with catatonia.
This project aimed to establish common themes relating to staff felt-experience of working with a specific case of catatonia on a Child and Adolescent Mental Health (CAMHS) ward. A secondary aim was to establish potential areas for future training and service improvement.
Method
Trust Research and Development department approved this work. Inpatient professionals working with the specified patient during admission were eligible. Participants were invited via email and face-face discussion with one of the authors. Participants, patient and mother provided written consent.
A questionnaire was created and disseminated via email to eligible staff (n = 33). 27 questions asked individuals to rate responses on Likert scales, plus space for further comments. Questions involved emotional responses to different catatonic states, feelings towards self, patient, colleagues and plans. Descriptive analysis was completed on this anonymised data.
Qualitative data were gathered via 1-hour recorded focus group, led by a systemic psychotherapist and psychologist. The session was transcribed anonymously. Two clinicians, using Thematic Analysis, reviewed the transcript independently.
Result
16 (48.5%) questionnaires were completed. Participants felt negatively about themselves and colleagues more frequently than about the patient. Participants felt positively about themselves less frequently than about colleagues and the patient. Participants identified with more feelings during immobile patient states than lucid states. During immobile states, participants identified with abusive, guilt, hopeless and neglectful responses; during lucid states, with helpful, caring, happy responses
Eight (50%) participants felt they sometimes did not understand their feelings towards colleagues/plans. Nine (57%) participants felt they sometimes did not understand their feelings towards themselves. Ten (66%) participants felt they sometimes did not understand their feelings towards the patient.
Ten (62.5%) participants felt confused by their emotions at least some of the time. Two (12.5%) frequently felt confused by their emotions.
Four participants attended the focus group. Themes included confusion, internal and team conflict.
Conclusion
Working with catatonia involved confusion and team splitting. Staff conflict between plans and morals resulted in painful emotions. Prompt psycho-education within teams working with uncommon presentations was identified as a focus for improvement. The authors plan to explore possible avenues for future teaching, learning and team support.
The Competition Model has served as a functional explanation of cross-linguistic influence and transfer for more than 30 years. A large number of studies have used the Competition Model to frame investigations of sentence processing strategies in different types of bilingual and multilingual speakers. Among the different bilingual speakers investigated, Mandarin Chinese and English bilinguals represent a clear testing ground for the claims of the Competition Model. This is because of purportedly stark contrasts in sentence processing strategies between the two languages. Previous studies investigating sentence processing strategies of English L2 and Mandarin L2 bilinguals suggests forward transfer of L1 cues to the L2, moderated by L2 proficiency. In this paper, we argue for replication of two of these studies, namely Liu, Bates, and Li (1992) and Su (2001). These studies continue to be cited today as evidence of differences between English and Mandarin sentence processing strategies which is in turn taken as support for the predictions of the Competition Model. However, both studies presented methodological limitations in terms of measures of proficiency, participant and stimuli selection, and the statistical analysis. We suggest approximate replication of both of these studies and provide suggestions for how such replications might be conducted.
Traditional dietary assessment methods in research can be challenging, with participant burden to complete an interview, diary, 24 h recall or questionnaire and researcher burden to code the food record to obtain a nutrient breakdown. Self-reported assessment methods are subject to recall and social desirability biases, in addition to selection bias from the nature of volunteering to take part in a research study. Supermarket loyalty card transaction records, linked to back of pack nutrient information, present a novel opportunity to use objective records of food purchases to assess diet at a household level. With a large sample size and multiple transactions, it is possible to review variation in food purchases over time and across different geographical areas.
Materials and methods:
This study uses supermarket loyalty card transactions for one retailer's customers in Leeds, for 12 months during 2016. Fruit and vegetable purchases for customers who appear to shop regularly for a ‘complete’ shop, buying from at least 7 of 11 Living Cost and Food Survey categories, were calculated. Using total weight of fruits and vegetables purchased over one year, average portions (80g) per day, per household were generated. Descriptive statistics of fruit and vegetable purchases by age, gender and Index of Multiple Deprivation of the loyalty card holder were generated. Using Geographical Information Systems, maps of neighbourhood purchases per month of the year were created to visualise variations.
Results:
The loyalty card holder transaction records represent 6.4% of the total Leeds population. On average, households in Leeds purchase 3.5 portions of fruit and vegetables per day, per household. Affluent and rural areas purchase more fruit and vegetables than average with 22% purchasing more than 5 portions/day. Conversely poor urban areas purchase less, with 18% purchasing less than 1 portion/day. Highest purchases are in the winter months, with lowest in the summer holidays. Loyalty cards registered to females purchased 0.4 portions per day more than male counterparts. The over 65 years purchased 1.5 portions per day more than the 17–24 year olds. A clear deprivation gradient is observed, with the most deprived purchasing 1.5 portions less per day than the least deprived.
Discussion:
Loyalty card transaction data offer an exciting opportunity for measuring variation in fruit and vegetable purchases. Variation is observed by age, gender, deprivation, geographically across a city and throughout the seasons. These insights can inform both policymakers and retailers regarding areas for fruit and vegetable promotion.
Supermarket transaction data, generated from loyalty cards, offers a novel source of food purchase information. Data are available for large sample sizes, over sustained periods of time, allowing for habitual purchasing patterns to be generated. In the UK, recommended dietary patterns to achieve a healthy diet are pictorially illustrated using the Eatwell Guide. Foods include: Fruit and vegetables; starchy products including potatoes, bread, pasta, rice; dairy or dairy alternatives; proteins such as beans, pulses, fish, eggs and meat; oils and spreads; and advice to limit foods high in salt, fat and sugar. Through mapping of foods purchased to the categories of the Eatwell Guide it is possible to review population performance against these national recommendations.
Materials and methods
All loyalty card transaction records for purchases made in a UK supermarket chain, by residents of Yorkshire and the Humber during 2016 were included in this research. Customers who purchased foods from 7 or 11 Living Cost and Food Survey (LCFS) categories on ten or more occasions throughout the year were included in the sample, as these customers were considered to be purchasing the majority of their foods from the supermarket. All foods purchased were mapped to the Eatwell Guide food groups via the LCFS categories.
Results
Households purchased: 25% of their total spend on fruits and vegetables, compared with 39% recommended; 13% on starchy products compared to 37% recommended; 23% of protein rich foods compared with 12% recommended; 12% dairy and alternatives compared to 8%; oils and spreads 2% compared to 1% recommended; and 25% foods that should be limited compared to 3% (recommended, but not pictorially illustrated on the plate).
Discussion
Supermarket transaction data is a novel source of food purchase information which can be used to illustrate dietary behaviours in the UK population. However, it represents foods purchased, not consumed and is at a household level, not individual. Food purchases outside the home are not included. That said, it is arguably an objective measure for dietary assessment. From this study, it is clear to see that food purchases do not match the recommendations. Purchases of high sugar, high fat and high salt snacks constitute a significant proportion of spending, when they should in fact be limited. Protein rich products are also over-represented. Fruit and vegetables and starchy products are under-represented. This insight can benefit both retailers and policy makers for understanding the food purchase behaviours of our society.
To assess potential transmission of antibiotic-resistant organisms (AROs) using surrogate markers and bacterial cultures.
Design:
Pilot study.
Setting:
A 1,260-bed tertiary-care academic medical center.
Participants:
The study included 25 patients (17 of whom were on contact precautions for AROs) and 77 healthcare personnel (HCP).
Methods:
Fluorescent powder (FP) and MS2 bacteriophage were applied in patient rooms. HCP visits to each room were observed for 2–4 hours; hand hygiene (HH) compliance was recorded. Surfaces inside and outside the room and HCP skin and clothing were assessed for fluorescence, and swabs were collected for MS2 detection by polymerase chain reaction (PCR) and selective bacterial cultures.
Results:
Transfer of FP was observed for 20 rooms (80%) and 26 HCP (34%). Transfer of MS2 was detected for 10 rooms (40%) and 15 HCP (19%). Bacterial cultures were positive for 1 room and 8 HCP (10%). Interactions with patients on contact precautions resulted in fewer FP detections than interactions with patients not on precautions (P < .001); MS2 detections did not differ by patient isolation status. Fluorescent powder detections did not differ by HCP type, but MS2 was recovered more frequently from physicians than from nurses (P = .03). Overall, HH compliance was better among HCP caring for patients on contact precautions than among HCP caring for patients not on precautions (P = .003), among nurses than among other nonphysician HCP at room entry (P = .002), and among nurses than among physicians at room exit (P = .03). Moreover, HCP who performed HH prior to assessment had fewer fluorescence detections (P = .008).
Conclusions:
Contact precautions were associated with greater HCP HH compliance and reduced detection of FP and MS2.
Basic symptoms, defined as subjectively perceived disturbances in thought, perception and other essential mental processes, have been established as a predictor of psychotic disorders. However, the relationship between basic symptoms and family history of a transdiagnostic range of severe mental illness, including major depressive disorder, bipolar disorder and schizophrenia, has not been examined.
Aims
We sought to test whether non-severe mood disorders and severe mood and psychotic disorders in parents is associated with increased basic symptoms in their biological offspring.
Method
We measured basic symptoms using the Schizophrenia Proneness Instrument – Child and Youth Version in 332 youth aged 8–26 years, including 93 offspring of control parents, 92 offspring of a parent with non-severe mood disorders, and 147 offspring of a parent with severe mood and psychotic disorders. We tested the relationships between parent mental illness and offspring basic symptoms in mixed-effects linear regression models.
Results
Offspring of a parent with severe mood and psychotic disorders (B = 0.69, 95% CI 0.22–1.16, P = 0.004) or illness with psychotic features (B = 0.68, 95% CI 0.09–1.27, P = 0.023) had significantly higher basic symptom scores than control offspring. Offspring of a parent with non-severe mood disorders reported intermediate levels of basic symptoms, that did not significantly differ from control offspring.
Conclusions
Basic symptoms during childhood are a marker of familial risk of psychopathology that is related to severity and is not specific to psychotic illness.
The associations between growth during early life and subsequent cognitive development and physical outcomes are not widely known in low-resource settings. We examined postnatal weight and height gain through early life and related these measurements to the nutritional status and intellectual development of the same children when they were between 7 and 9 years old. Mothers had enrolled in an randomised controlled trial to evaluate the effect of prenatal micronutrient supplementation on birth weight. Their children were born in 2004, their height and weight were measured at 6, 12, 18 and 24 months of age and were followed up between October 2012 and September 2013 (at ages 7–9 years, n 650). Height-for-age, weight-for-age and BMI-for-age were used to describe the nutritional status, and the Wechsler Intelligence Scale for Children fourth edition was used to measure the intellectual function. Multilevel linear and logistic modelling was used to estimate the association between early growth and subsequent growth and intellectual function. After adjustment, weight gain from 6 to 12 months of age was associated with Full-scale Intelligence Quotient, Verbal Comprehension Index, Working Memory Index and Perceptual Reasoning Index. Weight gain during early life was associated with subsequent nutritional status. For every 1 kg increase in weight during the 0- to 6-month period, the OR for underweight, thinness and stunting at 7–9 years of age were 0·19 (95 % CI 0·09, 0·37), 0·34 (95 % CI 0·19, 0·59) and 0·40 (95 % CI 0·19, 0·83), respectively. Weight gain during the periods of 6–12 months of age and 18–24 months of age was also associated with a lower risk of being underweight. Weight gain during early life was associated with better growth outcomes and improved intellectual development in young school-aged children.
Professor Nigel Lowe is the leading expert in international family law, with a world-wide reputation for his work in child law, international family relocation and child abduction. His career, spanning more than 40 years, has produced a huge body of literature and is internationally influential and of particular importance within Europe. A collaborative effort by members of the judiciary, practitioners and fellow academics from both the United Kingdom and other jurisdictions International and National Perspectives on Child and Family Law is a recognition of the impact of his work. It covers key issues in international child and family law including those in which Professor Lowe's work has been particularly influential, namely adoption, wardship, parental responsibility, children's rights, international family relocation and the 1980 Hague Convention on International Child Abduction. International and transnational family law has been a developing field of study and a growing area of legal practice over recent years. At a time of great international change and with the complications and implications of Brexit, this book covers many of the key issues in family law today and provides the reader with an exploration of possible future developments in the field. GILLIAN DOUGLAS is Professor of Law and Executive Dean of the Dickson Poon School of Law, King's College London. She is a Fellow of the British Academy, the Learned Society of Wales and the Academy of Social Sciences. She is a co-editor of the Child and Family Law Quarterly and a case reports editor for the Family Law journal. MERVYN MURCH CBE is Emeritus Professor in Cardiff University's School of Law and Politics. For over 40 years he has undertaken socio-legal family law research associated with social policy and law reform. VICTORIA STEPHENS is a freelance legal researcher, currently working for the Hague Conference on Private International Law. She also works as a project manager at the international NGO, IREX Europe, and has previously worked for the UK Cabinet Office, Department of Health and the Law Commission of England and Wales.
In 2014, the Southeastern Archaeological Conference (SEAC) conducted a sexual harassment survey of its membership. The survey's goal was to investigate whether sexual harassment had occurred among its members, and if so, to document the rate and demographics of harassment. Our findings include a high (66%) level of harassment, primarily among women, with an additional 13% of respondents reporting sexual assault. This article provides an overview of the survey and responses. Additionally, we analyze survey data aimed at capturing change over time in harassment and assault, correlation between field and non-field tasks and harassment and assault, and correlation between gender of supervisor and harassment and assault. We also discuss the effects of harassment and assault on careers. We conclude with suggestions for decreasing the rate of harassment and assault and urge professional archaeological organizations to document sexual harassment and assault to mitigate the effects on their members and on the discipline as a whole.