bluuebunny/crossref_metadata_2025_split huggingface dataset:
Constraints to Farmers’ Choice of Climate Change Adaptation Strategies in Ondo State of Nigeria
Authors: Ige George Olanrewaju , Akinnagbe Oluwole Matthew , Odefadehan Olalekan Olamigoke , Ogunbusuyi Opeyemi Peter 
Published: May 2021

AbstractNigeria being dependent on rain-fed agriculture and with low level of socioeconomic development is highly affected and vulnerable to climate change. It is crucial for farmers to adapt to the never ending climate change. However, there are constraints to adaptation strategies used by the farmers. This study therefore identified some of the constraints to the farmers’ choice of climate change adaptation strategies in Ondo State, Nigeria. A multistage sampling procedure was used in selecting one hundred and sixty respondents for the study. Data collected with a well-structured interview schedule were analyzed using frequency, percentage, and mean statistic, while Pearson Product Moment Correlation was used to test hypothesis. Crops competing for nutrient, inadequate access to climate information, inadequate finance, scarcity of labor, and inadequate farm input supplies were among the major constraints to choice of climate change adaptation strategies used by the respondents. The study recommended that weather forecast information should be published and made available to the farmers through agricultural extension agents. Training on how to improve mixed cropping technique and avoid vulnerability should be pursued.
Smallholders Use of Weather Information as Smart Adaptation Strategy in the Savannah Area of Ondo State, Nigeria
Authors: Alliagbor Rasheedat , Awolala David Olufemi , Ajibefun Igbekele Amos 
Published: May 2021

AbstractWeather information is needed for smart decisions because uncertainties in weather phenomena are beyond capacity of smallholders for autonomous responses. The study analyzed determinants of farmers’ use of weather information as smart adaptation strategy. Arable crop farmers were sampled in the derived savannah agro-ecology area of Ondo State, Nigeria. Heckman probit model estimates show that gender and agricultural extension services were significant positive drivers of farmers’ access to weather information. Should weather information becomes an alternative adaptation strategy, access to credit was found as the major driver of farmers’ propensity to use weather information before taking climate smart agricultural decisions. Further results reveal that increasing knowledge of onset date, large farm size, and access to agricultural extension services significantly reduced farmers’ propensity to use improved weather information for smart decisions in the dry savannah area.
Barriers to the Adoption of Improved Cooking Stoves for Rural Resilience and Climate Change Adaptation and Mitigation in Kenya
Authors: Nzengya Daniel M. , Maina Mwari Paul , Njeru Chrocosiscus 
Published: May 2021

AbstractMajority of Kenya’s citizens reside in the rural areas where wood fuel is still the primary source of energy for cooking. Continuing reliance on wood fuel against the backdrop of burgeoning population poses huge threats to the country’s forest cover, undermining capacity for climate change mitigation and adaptation. This study conducted in Machakos and Laikipia counties explored; (i) women’s perceptions of the health risks associated with dependence of firewood for cooking, (ii) women’s attitudes and perceptions towards improved cooking charcoal stoves (ICS) as cleaner alternatives to traditional firewood stoves for cooking, and (iii) women’s perceptions of barriers to adoption of improved cooking stoves. Study findings revealed that women were aware of the health risks associated with the use of firewood for cooking. However, despite these perceptions, upward trends in demands for firewood as a source of energy for cooking in the rural areas may persist in the next coming decades. Barriers to adoption of improved cooking stoves vary by sociocultural contexts. The study concludes that innovations that involve stakeholders especially participatory designs, monitoring, and evaluation of ICS might improve adoption levels. Moreover, innovations to increase adoption need to leverage on the opportunities provided by Sustainable development goal number 7 to accelerate adoption of ICS among other forms of cleaner, affordable, and sustainable sources of energy for cooking.
Improving Food Security by Adapting and Mitigating Climate Change-Induced Crop Pest: The Novelty of Plant-Organic Sludge in Southern Nigeria
Authors: Nwaogu Chukwudi 
Published: May 2021

AbstractClimate change is a global issue threatening food security, environmental safety, and human health in tropical and developing countries where people depend mainly on agriculture for their livelihood. Nigeria ranks among the top in the global yam production. It has the largest population in Africa and has been able to secure food for its growing population through food crops especially yam. Unfortunately, the recent increase in termites’ colonies due to climate change threatens yam yield. Besides harming man and environment, pesticides are expensive and not easily accessible to control the pests. This prompted a study which aimed at applying a biotrado-cultural approach in controlling the termites, as well as improving soil chemical properties and yam production. The study hypothesized thatChromolaena odorataandElaeis guineensissludge improved soil nutrient and yam yield and consequently decreased termites’ outbreak. In a randomized design experiment of five blocks and five replicates, five different treatments including unmanaged (UM),Vernonia amygdalina(VA),Chromolaena odorata(CO),Elaeis guineensis(EG) liquid sludge, and fipronil (FP) were applied in termites-infested agricultural soil. Data were collected and measured on the responses of soil chemical properties, termites, and yam yield to treatments using one-way ANOVA, regression, and multivariate analyses. The result showed thatChromolaena odorata(CO) and EG treatments were the best treatments for controlling termites and increase yam production. Termites were successfully controlled in VA and FP treatments, but the control was not commensurate with yam production. The experiment needs to be extended to other locations in the study region. It also requires an intensive and long-term investigation in order to thoroughly understand (i) the influence of climate change on the termites’ outbreak, (ii) the extent of termite damage to the crops, (iii) the impacts of climate change and variability on yam yields, (iii) the agricultural and economic benefits of the applied treatments, and (iv) the ecological and human health safety of the treatments.
Differential Impact of Land Use Types on Soil Productivity Components in Two Agro-ecological Zones of Southern Ghana
Authors: Owoade Folasade Mary , Adiku Samuel Godfried Kwasi , Atkinson Christopher John , MacCarthy Dilys Sefakor 
Published: May 2021

AbstractThe maintenance of soil productivity is important for sustained crop yield in low-input systems in the tropics. This study investigated the impact of four different land use types, namely, maize and cassava cropping, woodlot/plantations, and natural forests on soil productivity components, especially soil carbon accretion, at six sites within two agro-ecological zones of southern Ghana. Soil properties were significantly different between sites and ecological zones. The coastal savanna zones, which is a low rainfall zone had relatively lower soil carbon storage than the high rainfall forest-savanna transition zone. Soil productivity conditions in the later zone were much more favorable for cropping than the former. Land use types significantly affected the soil carbon (SOC) storage within the two ecological zones. In the low rainfall zone, soil carbon accretion by maize cropping, cassava cropping, and plantations were 48%, 54%, and 60%, respectively, of the forest carbon stock (47,617 kg/ha). In the transition zone, the soil carbon accretion was over 90% of the forest value (48,216 kg/ha) for all land use types. In effect use of land use types in maintaining soil productivity must consider the conditions in a given ecological zone.
Precipitation Variability in West Africa in the Context of Global Warming and Adaptation Recommendations
Authors: Quenum Gandome Mayeul L. D. , Klutse Nana A. B. , Alamou Eric A. , Lawin Emmanuel A. , Oguntunde Philip G. 
Published: May 2021

AbstractIt is commonly accepted that the Earth’s climate is changing and will continue to change in the future. Rising temperatures are one of the direct indicators of global climate change. To investigate how the rising global temperature will affect the spatial pattern of rainfall in West Africa, the precipitation and potential evapotranspiration variables from ten Global Climate Models (GCMs) under the RCP8.5 scenario were driven by the Rossby Centre regional atmospheric model (RCA4) from the COordinated Regional Climate Downscaling EXperiment (CORDEX) and analyzed at four specific global warming levels (GWLs) (i.e., 1.5 °C, 2.0 °C, 2.5 °C, and 3.0 °C) above the preindustrial level. This study utilized three indices, the precipitation concentration index (PCI), the precipitation concentration degree (PCD), and the precipitation concentration period (PCP) over West Africa to explore the spatiotemporal variations in the characteristics of precipitation concentrations. Besides, the analysis of the effect of the specified GWLs on the Consecutive Dry Days (CDD), Consecutive Wet Days (CWD), and frequency of the intense rainfall events allowed to a better understanding of the spatial and temporal patterns of extreme precipitation in West Africa. Results reveal that, for the projections simulations and at each GWL, the rainfall onset starts one month earlier in the Gulf of Guinea in response to the control period. To encourage adaptation to the various changes in climate in general, and particularly in respect of rainfall, this study proposes several adaptation methods that can be implemented at the local (country) level, as well as some mitigation and adaptation strategies at the regional (West African) level.
Farmers’ Adaptive Capacity to Climate Change in Africa: Small-Scale Farmers in Cameroon
Authors: Awazi Nyong Princely , Tchamba Martin Ngankam , Temgoua Lucie Felicite , Tientcheu-Avana Marie-Louise 
Published: May 2021

AbstractSmall-scale farmers’ limited adaptive capacity confronted with the adversities of climate change is a major call for concern considering that small-scale farms feed over half of the world’s population. In this light, small-scale farmers’ adaptive choices and adaptive capacity to climate change were assessed. Data were collected from primary and secondary sources using a mixed research approach. Findings revealed that extreme weather events have been recurrent and small-scale farmers perceived access to land, household income, and the planting of trees/shrubs on farms (agroforestry) as the main factors influencing their capacity to adapt to climate change. Agroforestry and monoculture practices were the main adaptive choices of small-scale farmers confronted with climate change. T-test and chi-square test statistics revealed a strong non-cause-effect relationship (p < 0.001) between small-scale farmers’ capacity to adapt to climate change and different socio-economic, institutional, and environmental variables. Parameter estimates of the binomial logistic regression model indicated the existence of a strong direct cause-effect relationship (p < 0.05) between small-scale farmers’ capacity to adapt to climate change and access to credit, household income, number of farms, access to information, and access to land, indicating that these variables enhance small-scale farmers’ capacity to adapt to climate change. It is recommended that policy makers examine the adaptive choices and determinants of farmers’ adaptive capacity unearthed in this chapter when formulating policies geared towards enhancing small-scale farmers’ capacity to adapt to climate change.
Glutamine Metabolism in Cancer
Authors: Li Ting , Copeland Christopher , Le Anne 
Published: May 2021

AbstractMetabolism is a fundamental process for all cellular functions. For decades, there has been growing evidence of a relationship between metabolism and malignant cell proliferation. Unlike normal differentiated cells, cancer cells have reprogrammed metabolism in order to fulfill their energy requirements. These cells display crucial modifications in many metabolic pathways, such as glycolysis and glutaminolysis, which include the tricarboxylic acid (TCA) cycle, the electron transport chain (ETC), and the pentose phosphate pathway (PPP) [1]. Since the discovery of the Warburg effect, it has been shown that the metabolism of cancer cells plays a critical role in cancer survival and growth. More recent research suggests that the involvement of glutamine in cancer metabolism is more significant than previously thought. Glutamine, a nonessential amino acid with both amine and amide functional groups, is the most abundant amino acid circulating in the bloodstream [2]. This chapter discusses the characteristic features of glutamine metabolism in cancers and the therapeutic options to target glutamine metabolism for cancer treatment.
The Intricate Metabolism of Pancreatic Cancers
Authors: Camelo Felipe , Le Anne 
Published: May 2021

AbstractCurrently, approximately 95% of pancreatic cancers are pancreatic ductal adenocarcinomas (PDAC), which are the most aggressive form and the fourth leading cause of cancer death with extremely poor prognosis [1]. Poor prognosis is primarily attributed to the late diagnosis of the disease when patients are no longer candidates for surgical resection [2]. Cancer cells are dependent on the oncogenes that allow them to proliferate limitlessly. Thus, targeting the expression of known oncogenes in pancreatic cancer has been shown to lead to more effective treatment [3]. This chapter discusses the complexity of metabolic features in pancreatic cancers. In order to comprehend the heterogeneous nature of cancer metabolism fully, we need to take into account the close relationship between cancer metabolism and genetics. Gene expression varies tremendously, not only among different types of cancers but also within the same type of cancer among different patients. Cancer metabolism heterogeneity is often prompted and perpetuated not only by mutations in oncogenes and tumor-suppressor genes but also by the innate diversity of the tumor microenvironment. Much effort has been focused on elucidating the genetic alterations that correlate with disease progression and treatment response [4, 5]. However, the precise mechanisms by which tumor metabolism contributes to cancer growth, survival, mobility, and aggressiveness represent a functional readout of tumor progression (Fig. 1).
Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits
Authors: Sinha Pallavi , Singh Vikas K. , Bohra Abhishek , Kumar Arvind , Reif Jochen C. , Varshney Rajeev K. 
Published: May 2021

AbstractKey messageIntegrating genomics technologies and breeding methods to tweak core parameters of the breeder’s equation could accelerate delivery of climate-resilient and nutrient rich crops for future food security.AbstractAccelerating genetic gain in crop improvement programs with respect to climate resilience and nutrition traits, and the realization of the improved gain in farmers’ fields require integration of several approaches. This article focuses on innovative approaches to address core components of the breeder’s equation. A prerequisite to enhancing genetic variance (σ2g) is the identification or creation of favorable alleles/haplotypes and their deployment for improving key traits. Novel alleles for new and existing target traits need to be accessed and added to the breeding population while maintaining genetic diversity. Selection intensity (i) in the breeding program can be improved by testing a larger population size, enabled by the statistical designs with minimal replications and high-throughput phenotyping. Selection priorities and criteria to select appropriate portion of the population too assume an important role. The most important component of breeder′s equation is heritability (h2). Heritability estimates depend on several factors including the size and the type of population and the statistical methods. The present article starts with a brief discussion on the potential ways to enhanceσ2gin the population. We highlight statistical methods and experimental designs that could improve trait heritability estimation. We also offer a perspective on reducing the breeding cycle time (t), which could be achieved through the selection of appropriate parents, optimizing the breeding scheme, rapid fixation of target alleles, and combining speed breeding with breeding programs to optimize trials for release. Finally, we summarize knowledge from multiple disciplines for enhancing genetic gains for climate resilience and nutritional traits.
Setting the evolutionary timeline: Tillandsia landbeckii in the Chilean Atacama Desert
Authors: Möbus Johanna , Kiefer Christiane , Quandt Dietmar , Barfuss Michael H. , Koch Marcus A. 
Published: May 2021

AbstractThe Chilean Atacama Desert is among the oldest deserts of the world. Here, Tillandsia landbeckii is forming a unique vegetation type known as Tillandsia lomas. This vegetation consists in its typical configuration of one single vascular plant species only and forms regular linear structures in a sloped landscape and is largely depending on fog occurrence as dominant source of water supply. Without developing a typical root system, there are only few other terrestrial Tillandsia species growing on bare sand in Chile and Peru such as T. marconae, T. virescens, T. purpureaor T. latifolia. Although phylogenetic evidence is limited, convergent evolution of this unique growth behavior is evident. The predominantly arid and hyper-arid climate exists since the Early Miocene, which raises the question about timing of T. landbeckii evolutionary history. Phylogenomic analyses using whole plastome sequence data highlight the onset of diversification in T. landbeckii approximately 500,000 years ago. We also demonstrate subsequent secondary genetic contact with T. purpurea during the Late Pleistocene using DNA sequence data and genome size estimates, which resulted into the formation of T. marconae.
The rosette-forming glioneuronal tumor mimicked cerebral cysticercosis: a case report
Authors: Zhu Dan , Cheng Ailan , Benons Nickita T. L. , Chu Shuguang 
Published: May 2021

Abstract
Introduction
Rosette-forming glioneuronal tumor (RGNT) is a rare variety of slow growing mixed glioneuronal tumor involving primarily fourth ventricular region. This is a comprehensive analysis of a 22-year-old woman with RGNT composed of mainly cystic components. In addition, the case showed multiple lesions located in brain parenchyma which mimicked cerebral cysticercosis. Here, we analyzed this case and listed some characteristics of RGNTs in reported literature which occurring in atypical locations for further understanding it.

Case report
A 22-year-old woman presented with a history of transient dizziness, nausea, and vomiting. Magnetic resonance imaging (MRI) showed multiple cystic lesions in brain parenchyma and then the patient was diagnosed with cerebral cysticercosis possibility. Empirical anti-infective therapy in addition to a follow-up post 2 weeks of MRI examination showed the lesions unchanged. Finally, a biopsy of the right cerebellar hemisphere lesions verified RGNT.

Conclusion
RGNT is an uncommon tumor classified as grade I glioma by World Health Organization (WHO) with slightly longer course. The imaging findings of RGNT are not specific especially in atypical areas. RGNT is rare, but we should also consider the possibility in diagnosis and differential diagnosis.
Quantifying wave measurement differences in historical and present wave buoy systems
Authors: Jensen Robert Edward , Swail Val , Bouchard Richard Harry 
Published: May 2021

AbstractAn intra-measurement evaluation was undertaken, deploying a NOMAD buoy equipped with three National Data Buoy Center and two Environment and Climate Change Canada-AXYS sensor/payload packages off Monterey, California; a Datawell Directional Waverider buoy was deployed within 19 km of the NOMAD site. The six independent wave measurement systems reported hourly estimates of the frequency spectra, and when applicable, the four Fourier directional components. The integral wave parameters showed general agreement among the five sensors compared to the neighboring Datawell Directional Waverider, with the Inclinometer and the Watchman performing similarly to the more sophisticated 3DMG, HIPPY, and Triaxys sensor packages. As the Hm0 increased, all but the Inclinometer were biased low; however, even the Watchman reported reasonable wave measurements up to about 6–7 m, after which the Hm0 becomes negatively biased up to about a meter, comparable to previous studies. The parabolic fit peak spectral wave period, Tpp, results showed a large scatter, resulting from the complex nature of multiple swell wave systems compounded by local wind-sea development, exacerbated by a variable that can be considered as temporally unstable. The three directional sensors demonstrated that NOMAD buoys are capable of measuring directional wave properties along the western US coast, with biases of about 6 to 9 deg, and rms errors of approximately 30 deg. Frequency spectral evaluations found similarities in the shape, but a significant under estimation in the high frequency range. The results from slope analyses also revealed a positive bias in the rear face of the spectra, and a lack of invariance in frequency as suggested by theory.
When did coronavirus arrive in Europe?
Authors: Cerqua Augusto , Di Stefano Roberta 
Published: May 2021

AbstractThe first cluster of coronavirus cases in Europe was officially detected on 21st February 2020 in Northern Italy, even if recent evidence showed sporadic first cases in Europe since the end of 2019. In this study, we have tested the presence of coronavirus in Italy and, even more importantly, we have assessed whether the virus had already spread sooner than 21st February. We use a counterfactual approach and certified daily data on the number of deaths (deaths from any cause, not only related to coronavirus) at the municipality level. Our estimates confirm that coronavirus began spreading in Northern Italy in mid-January.