bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determination of the effects of different tillage methods and irrigation levels on soybean yield and yield components
Authors: Gonen E. , Kara O. 
Published: April 2022

AbstractThis study was carried out to determine the effects of different irrigation levels and different tillage and sowing methods on the amount of irrigation water, evapotranspiration, water productivity (WP) and yield in the second crop soybean in Çukurova Region, Turkey. Three irrigation levels were applied (I100: completion to the field capacity of the available water of 60 cm soil depth weekly. I70: 70% of the water applied to I100, I50: 50% of the water applied to I100), five tillage and sowing methods were used (T1: traditional soil tillage, T2: reduced soil tillage, T3: reduced soil tillage, T4: ridge tillage, T5: no-tillage). The research was carried out in a randomized block split-plot design with three replications. The result of, the highest yield was obtained in I100xT1with 4990 kg/ha, while the lowest yield was obtained in I50xT3with 3150 kg/ha in irrigationxtillage interactions. When the water consumption values of plants were analysed, the highest was obtained with 632 mm I100and the lowest with 399 mm I50. When WP values were analysed, the highest was obtained with 8.7 in I50and the lowest in 6.6 and I100. As a result, full irrigation and direct sowing methods (I100T1) are recommended in soybean cultivation considering the highest water-yield relationship in the Mediterranean Region.
Effect of replacing soybean meal by a blend of ground corn and urea-ammonium sulphate on milk production and composition, digestibility and N balance of dairy Murrah buffaloes
Authors: Melo Tobias Tobit , Bezerra Leilson , Santos Viviany , Ferreira Marcelo , Junior Valdi Lima , Silva Luana Andressa , Menezes Migson , Filho Francisco Silva , Oliveira Ronaldo 
Published: April 2022

AbstractThis study evaluated the effect of replacing soybean meal by a blend of ground corn and urea-ammonium sulphate (GCU-S) in the diet of lactating buffaloes on milk production and composition, digestibility, N balance and blood metabolites. Twelve multiparous dairy Murrah buffaloes (Bubalus bubalis), at 100 ± 4 d in milk and yielding 10 ± 2.5 kg/d, were randomly distributed in a triple 4 × 4 Latin square, with four different inclusions of GCU-S at U-S levels: 0 (control), 8.0, 16.4 and 24.1 g/kg dry matter (DM) total. Replacing soybean meal with GC-US had a significant depressing effect on absolute DM intake, which was still numerically evident but no longer significant when expressed on a body weight-related basis. Intakes of crude protein (CP) and N as well as N-urinary excretion were also significantly depressed. Digestibility of dry matter was improved and, as a proportion of DMI, intake of total digestible nutrients increased significantly. Perhaps as a result, feed efficiency (kg DMI required per kg 6% fat-corrected milk) was significantly improved. Efficiency of protein use for milk production was significantly improved, but not when expressed as milk protein output. N transfer into milk, as a proportion of total N intake, also increased significantly. However, GC-US inclusion had no significant effect on milk production or milk composition, nor did it affect serum metabolites, digestibilities (apart from dry matter) or N measures of balance apart from those mentioned above. Inclusion of this blend of ground corn with urea and ammonium suplate can be recommended for dairy buffalo because, although it decreases DMI and N-excretion, it improves DM digestibility and feeding efficiency whilst maintaining milk production and composition.
Postlaunch evidence generation practices among health technology assessment bodies in Europe
Authors: Puñal-Riobóo Janet , Varela-Lema Leonor , Guilhaume Chantal , Galbraith Margaret , Bélorgey Chantal , Faraldo Maria José , Meillassoux Amélie 
Published: April 2022

AbstractObjectivesThe term Postlaunch Evidence Generation (PLEG) refers to evidence generated after the launch or licensing of a health technology. The aim of this paper is to provide an overview of the implementation of these practices in the European Union in order to explore cross-border cooperation opportunities.MethodsIn December 2019, a survey composed of nine closed-ended questions with multiple choice answers about the PLEG practices in each country was sent to all twenty-five dedicated work package (WP5B) partners of the European Network of Health Technology Assessment (EUnetHTA) Joint Action 3. In addition to the survey, the national practices were discussed during a face-to-face meeting with WP5B partners.ResultsTwelve Health TechnologyAssessment (HTA) bodies completed the survey. Of these, eleven reported procedures in place for official requests for PLEGs in their remit. In the large majority of cases, the requests are made at the time of the assessment/appraisal. Several agencies participate in the definition of the scope of the PLEG or review of its protocol. Data collection and analysis mainly lie with companies for pharmaceuticals, whereas it is more the responsibility of the HTA bodies for medical devices. Only one agency owns the data and is able to exchange them without asking permission.ConclusionsMost agencies recommend European collaboration on PLEG commence once the evidence gaps have been defined or during the production of the HTA report in the case of European joint assessment.
A mixed single- and dual-frequency quad-constellation GNSS precise point positioning approach on Xiaomi Mi8 smartphones
Authors: Li Yanjie , Cai Changsheng 
Published: April 2022

AbstractThe high-precision global navigation satellite system (GNSS) positioning technique on smartphones has been attracting increasing interest in recent years. However, the low-cost GNSS chip and linearly polarised antenna embedded inside smartphones result in data lack and quality degradation, which hinders the high-precision GNSS positioning on smartphones. In this study, a mixed single- and dual-frequency quad-constellation precise point positioning (MSDQ-PPP) model is proposed to improve the positioning performance on smartphones by taking advantage of all available GNSS observations. Static and kinematic tests were made using a Xiaomi Mi8 smartphone to fully assess the MSDQ-PPP performance with comparisons to single-frequency PPP (SF-PPP) and dual-frequency PPP (DF-PPP) models. The static test results show that the MSDQ-PPP can reach an accuracy level of 0⋅39 m and 0⋅50 m in the horizontal and vertical directions with a convergence time of less than 10 min in most sessions. The MSDQ-PPP improves the positioning accuracy by 53% and 31% over the DF-PPP in the horizontal and vertical directions, respectively. In contrast to the SF-PPP, the positioning accuracy and convergence time improvement can reach 62% and 90% in the horizontal direction, respectively. In the kinematic test, the MSDQ-PPP achieves an accuracy of 0⋅7 m and 1⋅5 m in the horizontal and vertical directions, respectively. The accuracy improvement rates reach 78% and 76% over the DF-PPP, and 13% and 38% over the SF-PPP, respectively. Both static and kinematic MSDQ-PPP tests indicate significantly enhanced positioning performance.
Low-carbohydrate and ketogenic diets: a scoping review of neurological and inflammatory outcomes in human studies and their relevance to chronic pain
Authors: Field Rowena , Field Tara , Pourkazemi Fereshteh , Rooney Kieron 
Published: April 2022

AbstractDietary restriction of carbohydrate has been demonstrated to be beneficial for nervous system dysfunction in animal models and may be beneficial for human chronic pain. The purpose of this review is to assess the impact of a low-carbohydrate/ketogenic diet on the adult nervous system function and inflammatory biomarkers to inform nutritional research for chronic pain. An electronic database search was carried out in May 2021. Publications were screened for prospective research with dietary carbohydrate intake <130 g per day and duration of ≥2 weeks. Studies were categorised into those reporting adult neurological outcomes to be extracted for analysis and those reporting other adult research outcomes. Both groups were screened again for reported inflammatory biomarkers. From 1548 studies, there were 847 studies included. Sixty-four reported neurological outcomes with 83% showing improvement. Five hundred and twenty-three studies had a different research focus (metabolic n = 394, sport/performance n = 51, cancer n = 33, general n = 30, neurological with non-neuro outcomes n = 12, or gastrointestinal n = 4). The second screen identified sixty-three studies reporting on inflammatory biomarkers, with 71% reporting a reduction in inflammation. The overall results suggest a favourable outcome on the nervous system and inflammatory biomarkers from a reduction in dietary carbohydrates. Both nervous system sensitisation and inflammation occur in chronic pain, and the results from this review indicate it may be improved by low-carbohydrate nutritional therapy. More clinical trials within this population are required to build on the few human trials that have been done.
Congenital biventricular cardiac diverticula as a part of class III Cantrell’s syndrome: case report
Authors: Bako Derya , Epçaçan Serdar , Giray Dilek , Karakuş Epçaçan Zerrin 
Published: April 2022

AbstractCongenital cardiac ventricular diverticulum is an extremely rare condition that usually occurs as a part of Pentalogy of Cantrell and frequently associated with sternal, pericardial, diaphragmatic, and thoracoabdominal wall defects. The prognosis of the patient depends on the complexity of abnormalities. Herein, we report biventricular diverticula as a part of incomplete Cantrell’s syndrome in a 1-day-old newborn.
Why White Americans More Frequently Fail to View the Police Critically
Authors: Drakulich Kevin , Rodriguez-Whitney Eric , Robles Jesenia 
Published: April 2022

AbstractIt matters how people view the police—and that there is a substantial racial gap in these views. Research has primarily focused on police experiences to explain generally less-positive views among Black Americans. We recommend a subtle but vital shift in focus, seeking instead to explain the remarkably more favorable average views about the police among White Americans. Utilizing comparable data from two 2016 American National Election Studies surveys, we explore the role of contact with the police, politics, and three different dimensions of racial attitudes and views, finding views about the police among White Americans to be shaped in primary ways by concerns about Black Americans. These factors, and racial resentment in particular, explain a significant portion of the average difference in views of the police between Black and White Americans. We discuss the implications of this subtle shift in focus, particularly for work which sets positive views about the police as the goal.
Volcanic landscape controls on pre-rift to syn-rift volcano sedimentary systems: the Prestfjall Formation eruptive hiatus, Faroe Islands Basalt Group, northeast Atlantic
Authors: JOLLEY David W. , PASSEY Simon R. , VOSGERAU Henrik , SØRENSEN Erik V. 
Published: April 2022

ABSTRACTThe Paleogene lava flows of the Faroe Islands Basalt Group are divided into three relatively thick formations. The oldest, the Beinisvørð Formation is separated from the second lava flow succession, the Malinstindur Formation, by two formations composed primarily of volcaniclastic rocks. The oldest of these, the Prestfjall Formation has been interpreted as a period of eruptive quiescence and linked to changes in mantle melting. It is characterised in the south by the occurrence of coals, while the overlying Hvannhagi Formation is a sequence of primary and remobilised volcaniclastic strata. Field, laboratory, palynology, and photogrammetry studies have been used to investigate variations in facies and architecture within these volcaniclastic formations. The data reveal significantly different depositional systems in the Prestfjall and Hvannhagi formations over the ~40 km from the island of Vágar in the north to the island of Suðuroy in the south. Facies distribution in both the Prestfjall and Hvannhagi formations was found to have been controlled by a complex interaction of regional paleoslope, pre-existing topography, the eruption and local collapse of low-angle shield volcanoes, and minor brittle deformation. Lithological data and photogrammetry have enabled the identification of a > 180 m thick succession of volcaniclastic conglomerates deposited by lahars reworking a low-angle shield sector collapse. Co-occurrence of facies characteristic of the Prestfjall, Hvannhagi and Malinstindur formations indicate that volcanic eruption continued at a lower tempo throughout the Prestfjall Formation interval. Identification of a Beinisvørð Formation low-angle volcano shield northwest of the Faroe Islands alters the previous eruption model for this extensive lava field.
Parental mental health and risk of poor mental health and death by suicide in offspring: a population-wide data-linkage study
Authors: Maguire A. , Ross E. , O'Reilly D. 
Published: April 2022

Abstract

Aims
Suicide is a major public health concern. Identifying those most at risk is vital to ensure the implementation of effective interventions. Mental health (MH) is known to have a genetic component and parental MH is associated with offspring MH. However, little is known about the effect of parental psychopathology on offspring suicide risk. The aim of this study is to determine if children living with parents with poor MH are at an increased risk of poor MH, or death by suicide.

Methods
This population-wide cohort study linked data from the 2011 Northern Ireland Census to 6 years' death records (2011–2016). Information on MH status, in addition to other individual and household-level attributes, was derived from the 2011 Census. Logistic regression was utilised to examine the association between parental poor MH and offspring MH and suicide risk, with adjustment for socio-demographic characteristics.

Results
Overall, 11.6% of the cohort of 618 970 individuals were residing with parents who reported poor MH; 1.6% reported poor MH themselves, and 0.04% (n = 260) died by suicide. Living with a parent with poor MH increased the odds of offspring poor MH (OR = 2.80, 95% CI 2.59–3.03). After adjustment for age, gender, physical illness, socio-economic status and own MH, children living with 1 parent with poor MH were 76% more likely to die by suicide compared to children of parents who did not report poor MH (OR = 1.76, 95% CI 1.31–2.36). The effect size increased for children living with 2 parents with poor MH, and was higher in children aged under 24 years.

Conclusions
Living with a parent with poor MH is a significant risk factor for offspring poor MH and suicide, even after adjustment for personal MH status. When treating mental ill-health in parents, potential interventions for their children should also be considered.
Mapping the selection, availability, price and affordability of essential medicines for mental health conditions at a global level
Authors: Todesco B. , Ostuzzi G. , Barbui C. 
Published: April 2022

Abstract

Aims
To provide a cross-country analysis of selection, availability, prices and affordability of essential medicines for mental health conditions, aiming to identify areas for improvement.

Methods
We used the World Health Organization (WHO) online repository of national essential medicines lists (EMLs) to extract information on the inclusion of essential psychotropic medicines within each country's EML. Data on psychotropic medicine availability, price and affordability were obtained from the Health Action International global database. Additional information on country availability, prices and affordability of essential medicines for mental disorders was identified by searching, up to January 2021, PubMed/Medline, CINAHIL, Scopus and the WHO Regional Databases. We summarised and compared the indicators across lowest-price generic and originator brand medicines in the public and private sectors, and by country income groups.

Results
A total of 112 national EMLs were analysed, and data on psychotropic medicine availability, price and affordability were obtained from 87 surveys. While some WHO essential psychotropic medicines, such as chlorpromazine, haloperidol, amitriptyline, carbamazepine and diazepam, were selected by most national lists, irrespective of the country income level, other essential medicines, such as risperidone or clozapine, were included by most national lists in high-income countries, but only by a minority of lists in low-income countries. Up to 40% of low-income countries did not include medicines that have been in the WHO list for decades, such as long-acting fluphenazine, lithium carbonate and clomipramine. The availability of generic and originator psychotropic medicines in the public sector was below 50% for all medicines, with low-income countries showing rates lower than the overall average. Analysis of price data revealed that procurement prices were lower than patient prices in the public sector, and medicines in the private sector were associated with the highest prices. In low-income countries, the average patient price for amitriptyline and fluoxetine was three times the international unit reference price, while the average patient price for diazepam was ten times the international unit reference price. Affordability was higher in the public than the private sector, and in high-income than low-income countries.

Conclusion
Access to medicines for mental health conditions is an ongoing challenge for health systems worldwide, and no countries can claim to be fully aligned with the general principle of providing full access to essential psychotropic medicines. Low availability and high costs are major barriers to the use of and adherence to essential psychotropic medicines, particularly in low-and middle-income countries.
DeepSpot: A deep neural network for RNA spot enhancement in single-molecule fluorescence in-situ hybridization microscopy images
Authors: Bouilhol Emmanuel , Savulescu Anca F. , Lefevre Edgar , Dartigues Benjamin , Brackin Robyn , Nikolski Macha 
Published: April 2022

Abstract
Detection of RNA spots in single-molecule fluorescence in-situ hybridization microscopy images remains a difficult task, especially when applied to large volumes of data. The variable intensity of RNA spots combined with the high noise level of the images often requires manual adjustment of the spot detection thresholds for each image. In this work, we introduce DeepSpot, a Deep Learning-based tool specifically designed for RNA spot enhancement that enables spot detection without the need to resort to image per image parameter tuning. We show how our method can enable downstream accurate spot detection. DeepSpot’s architecture is inspired by small object detection approaches. It incorporates dilated convolutions into a module specifically designed for context aggregation for small object and uses Residual Convolutions to propagate this information along the network. This enables DeepSpot to enhance all RNA spots to the same intensity, and thus circumvents the need for parameter tuning. We evaluated how easily spots can be detected in images enhanced with our method by testing DeepSpot on 20 simulated and 3 experimental datasets, and showed that accuracy of more than 97% is achieved. Moreover, comparison with alternative deep learning approaches for mRNA spot detection (deepBlink) indicated that DeepSpot provides more precise mRNA detection. In addition, we generated single-molecule fluorescence in-situ hybridization images of mouse fibroblasts in a wound healing assay to evaluate whether DeepSpot enhancement can enable seamless mRNA spot detection and thus streamline studies of localized mRNA expression in cells.
Exploring the influence of weeds on cranberry yield and quality
Authors: Colquhoun Jed , Besançon Thierry , Ghantous Katherine , Sandler Hilary 
Published: April 2022

AbstractThe influence of weeds on cranberry yield and quality is not well known and cannot be extrapolated from other cropping systems given the unique nature of both cranberry production and the weed species spectrum. The work presented here addresses this need with four common weed species across multiple production seasons and systems in Wisconsin, Massachusetts, and New Jersey: Carolina redroot, earth loosestrife, bristly dewberry, and polytrichum moss. The objectives were to use these representative species to quantify the impact of weed density, groundcover, and biomass on several cranberry yield components and related interactions with other cranberry pests, and to determine whether these relationships were consistent enough across seasons to be reliably used in weed management decision-making. The relationships between Carolina redroot and bristly dewberry growth measures and marketable cranberry yield were highly significant (P ≤ 0.001 in 12 of 13 regressions) and consistent across growing seasons, but not significant for similar regressions with earth loosestrife. In particular, the strong relationship between Carolina redroot and bristly dewberry visual groundcover observations and cranberry yield suggests a simple way for growers and crop scouts to reliably estimate yield loss. The relationship between polytrichum moss biomass and cranberry yield was also significant in both years, but not consistent between years. Weed competition also affected cranberry quality, in that Carolina redroot density was strongly related to the percentage of insect-damaged fruit and bristly dewberry growth reduced cranberry color development. On a practical level, this information can be used to educate growers, consultants, agrichemical registrants, and regulators about the impacts of weeds on cranberry yield and quality, and to economically prioritize management efforts based on the weed species and extent of infestation.
Efficacy of halosulfuron-methyl in the management of Navua sedge (Cyperus aromaticus): differential responses of plants with and without established rhizomes
Authors: Chadha Aakansha , Florentine Singarayer K. , Dhileepan Kunjithapatham , Turville Christopher , Dowling Kim 
Published: April 2022

AbstractNavua sedge is a creeping perennial sedge commonly found in tropical environments and is currently threatening many agroecosystems and ecosystems in Pacific Island countries and northern Queensland, Australia. Pasture and crop productions have been significantly impacted by this weed. The efficacy of halosulfuron-methyl on Navua sedge plants with and without well-established rhizomes was evaluated under glasshouse conditions. Halosulfuron-methyl was applied to plants with established rhizomes at three stages; mowed, pre-flowering, and flowering growth stages, whereas plants without established rhizomes were treated at seedling, pre-flowering and flowering growth stages. At each application time, halosulfuron-methyl was applied at four dose rates of 0, 38, 75, and 150 g ai ha−1. Mortality of 27.5%, 0%, and 5% was recorded in rhizomatous Navua sedge when treated with 75 g ai ha−1 of halosulfuron-methyl at the mowed, pre-flowering stage and flowering stages, respectively. At 10 wk after treatment (WAT), there were no tillers in surviving plants treated at any of the application times. By 16 WAT, the number of tillers increased to 15, 24, and 26 in mowed, pre-flowering, and flowering stages, respectively. Although halosulfuron-methyl is effective in controlling aboveground growth, subsequent emergence of new growth from the rhizome confirms the failure of the herbicide to kill the rhizome. Application of 75 g ai ha−1 of halosulfuron-methyl provided 100% mortality in plants treated at seedling and pre-flowering stages, and 98% mortality when treated at flowering stage in non-rhizomatous plants. A single application of halosulfuron-methyl is highly effective at controlling Navua sedge seedlings but not effective at controlling plants with established rhizomes.