bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systematic review protocol for crime trends facilitated by synthetic biology
Authors: Elgabry Mariam , Nesbeth Darren , Johnson Shane D. 
Published: February 2020

AbstractBackgroundWhen new technologies are developed, it is common for their crime and security implications to be overlooked or given inadequate attention, which can lead to a ‘crime harvest’. Potential methods for the criminal exploitation of biotechnology need to be understood to assess their impact, evaluate current policies and interventions and inform the allocation of limited resources efficiently. Recent studies have illustrated some of the security implications of biotechnology, with outcomes of misuse ranging from compromised computers using malware stored in synthesised DNA, infringement of intellectual property on biological matter, synthesis of new threatening viruses, ‘genetic genocide,’ and the exploitation of food markets with genetically modified crops. However, there exists no synthesis of this information, and no formal quality assessment of the current evidence. This review therefore aims to establish what current and/or predicted crimes have been reported as a result of biotechnology.MethodsA systematic review will be conducted to identify relevant literature. ProQuest, Web of Science, MEDLINE and USENIX will be searched utilizing a predefined search string, and Backward and Forward searches. Grey literature will be identified by searching the official UK Government website (www.gov.uk) and the Global database of Dissertations and Theses. The review will be conducted by screening title/abstracts followed by full texts, utilising pre-defined inclusion and exclusion criteria. Papers will be managed using Eppi-center Reviewer 4 software, and data will be organised using a data extraction table using a descriptive coding tool. A predefined rating system (speculative, experimental or currently occurring) will be used to sort studies, and a thematic synthesis of the results will be presented.DiscussionDespite the concerns raised about the misuse of biotechnology, no previous work has been conducted from a Crime Science perspective to collate and assess the literature. This systematic review aims to identify the types of offending activity facilitated by biotechnology, including synthetic biology and genetic engineering. The objective of the review is to examine whether this offending activity can be prevented by assessing the conditions necessary for the crime events to occur. It is anticipated that evidence generated from this review will guide future research in this area and aid relevant stakeholders to prioritise and allocate limited resources to biotechnology crime prevention.Systematic review registrationPROSPERO CRD42019131685
Least-squares-based three-term conjugate gradient methods
Authors: Tang Chunming , Li Shuangyu , Cui Zengru 
Published: February 2020

AbstractIn this paper, we first propose a new three-term conjugate gradient (CG) method, which is based on the least-squares technique, to determine the CG parameter, named LSTT. And then, we present two improved variants of the LSTT CG method, aiming to obtain the global convergence property for general nonlinear functions. The least-squares technique used here well combines the advantages of two existing efficient CG methods. The search directions produced by the proposed three methods are sufficient descent directions independent of any line search procedure. Moreover, with the Wolfe–Powell line search, LSTT is proved to be globally convergent for uniformly convex functions, and the two improved variants are globally convergent for general nonlinear functions. Preliminary numerical results are reported to illustrate that our methods are efficient and have advantages over two famous three-term CG methods.
Ground state sign-changing solutions for a class of double-phase problem in bounded domains
Authors: Hou Gangling , Ge Bin , Zhang Beilei , Wang Liyan 
Published: February 2020

AbstractThis paper is concerned with the following double-phase problem:
$$ \textstyle\begin{cases} -\operatorname{div}( \vert \nabla u \vert ^{p-2}\nabla u+a(x) \vert \nabla u \vert ^{q-2}\nabla u)=f(x,u)& \text{in }\varOmega, \\ u=0 &\text{on }\partial\varOmega, \end{cases} $${−div(|∇u|p−2∇u+a(x)|∇u|q−2∇u)=f(x,u)in Ω,u=0on ∂Ω, where $N\geq2$N≥2 and $1< p< q< N$1<p<q<N. Assuming that the primitive of $f(x,u)$f(x,u) is asymptotically q-linear as $|u|\rightarrow\infty$|u|→∞ and a weak version of Nehari-type monotonicity condition that the function $u\mapsto\frac{f(x,u)}{|u|^{q-1}}$u↦f(x,u)|u|q−1 is nondecreasing on $(-\infty,0) \cup(0,\infty)$(−∞,0)∪(0,∞) for a.e. $x\in\varOmega$x∈Ω, we prove the existence of one ground state sign-changing solution via the constraint variational method and quantitative deformation lemma for the equation. Our results improve and generalize some results obtained by Liu and Dai (J. Differ. Equ. 265(9):4311–4334, 2018).
Analyzing transient response of the parallel RCL circuit by using the Caputo–Fabrizio fractional derivative
Authors: Alizadeh Shahram , Baleanu Dumitru , Rezapour Shahram 
Published: February 2020

AbstractIn this paper, the transient response of the parallel RCL circuit with Caputo–Fabrizio derivative is solved by Laplace transforms. Also, the graphs of the obtained solutions for the different orders of the fractional derivatives are compared with each other and with the usual solutions. Finally, they are compared with practical and laboratory results.
An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems
Authors: Abbasi Mahdi , Rafiee Milad , Khosravi Mohammad R. , Jolfaei Alireza , Menon Varun G. , Koushyar Javad Mokhtari 
Published: February 2020

AbstractA novel parallelization method of genetic algorithm (GA) solution of the Traveling Salesman Problem (TSP) is presented. The proposed method can considerably accelerate the solution of the equivalent TSP of many complex vehicle routing problems (VRPs) in the cloud implementation of intelligent transportation systems. The solution provides routing information besides all the services required by the autonomous vehicles in vehicular clouds. GA is considered as an important class of evolutionary algorithms that can solve optimization problems in growing intelligent transport systems. But, to meet time criteria in time-constrained problems of intelligent transportation systems like routing and controlling the autonomous vehicles, a highly parallelizable GA is needed. The proposed method parallelizes the GA by designing three concurrent kernels, each of which running some dependent effective operators of GA. It can be straightforwardly adapted to run on many-core and multi-core processors. To best use the valuable resources of such processors in parallel execution of the GA, threads that run any of the triple kernels are synchronized by a low-cost switching mechanism. The proposed method was experimented for parallelizing a GA-based solution of TSP over multi-core and many-core systems. The results confirm the efficiency of the proposed method for parallelizing GAs on many-core as well as on multi-core systems.
Renewable energy for sustainable development in India: current status, future prospects, challenges, employment, and investment opportunities
Authors: Kumar. J Charles Rajesh , Majid M. A. 
Published: February 2020

AbstractThe primary objective for deploying renewable energy in India is to advance economic development, improve energy security, improve access to energy, and mitigate climate change. Sustainable development is possible by use of sustainable energy and by ensuring access to affordable, reliable, sustainable, and modern energy for citizens. Strong government support and the increasingly opportune economic situation have pushed India to be one of the top leaders in the world’s most attractive renewable energy markets. The government has designed policies, programs, and a liberal environment to attract foreign investments to ramp up the country in the renewable energy market at a rapid rate. It is anticipated that the renewable energy sector can create a large number of domestic jobs over the following years. This paper aims to present significant achievements, prospects, projections, generation of electricity, as well as challenges and investment and employment opportunities due to the development of renewable energy in India. In this review, we have identified the various obstacles faced by the renewable sector. The recommendations based on the review outcomes will provide useful information for policymakers, innovators, project developers, investors, industries, associated stakeholders and departments, researchers, and scientists.
Current and future predicting potential areas of Oxytenanthera abyssinica (A. Richard) using MaxEnt model under climate change in Northern Ethiopia
Authors: Gebrewahid Yikunoamlak , Abrehe Selemawi , Meresa Esayas , Eyasu Gebru , Abay Kiros , Gebreab Gebrehiwot , Kidanemariam Kiros , Adissu Gezu , Abreha Gebrekidan , Darcha Girmay 
Published: February 2020

Abstract
Introduction
Climate change will either improve, reduce, or shift its appropriate climatic habitat of a particular species, which could result in shifts from its geographical range. Predicting the potential distribution through MaxEnt modeling has been developed as an appropriate tool for assessing habitat distribution and resource conservation to protect bamboo species.

Methods
Our objective is to model the current and future distribution of Oxytenanthera abyssinica (A. Richard) based on three representative concentration pathways (RCP) (RCP2.6, RCP4.5, and RCP8.5) for 2050s and 2070s using a maximum entropy model (MaxEnt) in Northern Ethiopia. For modeling procedure, 77 occurrence records and 11 variables were retained to simulate the current and future distributions of Oxytenanthera abyssinica in Northern Ethiopia. To evaluate the performance of the model, the area under the receiver operating characteristic (ROC) curve (AUC) was used.

Results
All of the AUCs (area under curves) were greater than 0.900, thereby placing these models in the “excellent” category. The jackknife test also showed that precipitation of the coldest quarter (Bio19) and precipitation of the warmest quarter (Bio18) contributed 66.8% and 54.7% to the model. From the area of current distribution, 1367.51 km2 (2.52%), 7226.28 km2 (13.29%), and 5377.26 km2 (9.89%) of the study area were recognized as high, good, and moderate potential habitats of Oxytenanthera abyssinica in Northern Ethiopia, and the high potential area was mainly concentrated in Tanqua Abergele (0.70%), Kola Temben (0.65%), Tselemti (0.60%), and Tsegede (0.31%). Kafta Humera was also the largest good potential area, which accounts for 2.75%. Compared to the current distribution, the total area of the high potential regions and good potential regions for Oxytenanthera abyssinica under the three RCPs (RCP2.6, RCP4.5, and RCP8.5) would increase in the 2050s and 2070s. However, the total area of the least potential regions under the three RCPs (RCP2.6, RCP4.5, and RCP8.5) in 2050s and 2070s would decrease.

Conclusion
This study can provide vital information for the protection, management, and sustainable use of Oxytenanthera abyssinica, the resource to address the global climate challenges.
MICHELINdb: a web-based tool for mining of helminth-microbiota interaction datasets, and a meta-analysis of current research
Authors: Scotti Riccardo , Southern Stuart , Boinett Christine , Jenkins Timothy P. , Cortés Alba , Cantacessi Cinzia 
Published: February 2020

AbstractBackgroundThe complex network of interactions occurring between gastrointestinal (GI) and extra-intestinal (EI) parasitic helminths of humans and animals and the resident gut microbial flora is attracting increasing attention from biomedical researchers, because of the likely implications for the pathophysiology of helminth infection and disease. Nevertheless, the vast heterogeneity of study designs and microbial community profiling strategies, and of bioinformatic and biostatistical approaches for analyses of metagenomic sequence datasets hinder the identification of bacterial targets for follow-up experimental investigations of helminth-microbiota cross-talk. Furthermore, comparative analyses of published datasets are made difficult by the unavailability of a unique repository for metagenomic sequence data and associated metadata linked to studies aimed to explore potential changes in the composition of the vertebrate gut microbiota in response to GI and/or EI helminth infections.ResultsHere, we undertake a meta-analysis of available metagenomic sequence data linked to published studies on helminth-microbiota cross-talk in humans and veterinary species using a single bioinformatic pipeline, and introduce the 'MICrobiome HELminth INteractions database' (MICHELINdb), an online resource for mining of published sequence datasets, and corresponding metadata, generated in these investigations.ConclusionsBy increasing data accessibility, we aim to provide the scientific community with a platform to identify gut microbial populations with potential roles in the pathophysiology of helminth disease and parasite-mediated suppression of host inflammatory responses, and facilitate the design of experiments aimed to disentangle the cause(s) and effect(s) of helminth-microbiota relationships.
Contrasted habitats and individual plasticity drive the fine scale movements of juvenile green turtles in coastal ecosystems
Authors: Chambault Philippine , Dalleau Mayeul , Nicet Jean-Benoît , Mouquet Pascal , Ballorain Katia , Jean Claire , Ciccione Stéphane , Bourjea Jérôme 
Published: February 2020

AbstractBackgroundA strong behavioural plasticity is commonly evidenced in the movements of marine megafauna species, and it might be related to an adaptation to local conditions of the habitat. One way to investigate such behavioural plasticity is to satellite track a large number of individuals from contrasting foraging grounds, but despite recent advances in satellite telemetry techniques, such studies are still very limited in sea turtles.MethodsFrom 2010 to 2018, 49 juvenile green turtles were satellite tracked from five contrasting feeding grounds located in the South-West Indian Ocean in order to (1) assess the diel patterns in their movements, (2) investigate the inter-individual and inter-site variability, and (3) explore the drivers of their daily movements using both static (habitat type and bathymetry) and dynamic variables (daily and tidal cycles).ResultsDespite similarities observed in four feeding grounds (a diel pattern with a decreased distance to shore and smaller home ranges at night), contrasted habitats (e.g. mangrove, reef flat, fore-reef, terrace) associated with different resources (coral, seagrass, algae) were used in each island.ConclusionsJuvenile green turtles in the South-West Indian Ocean show different responses to contrasting environmental conditions - both natural (habitat type and tidal cycle) and anthropogenic (urbanised vs. uninhabited island) demonstrating the ability to adapt to modification of habitat.
Validity of the dispersion relations in magnetotellurics: Part I—theory
Authors: Zorin Nikita , Aleksanova Elena , Shimizu Hisayoshi , Yakovlev Denis 
Published: February 2020

AbstractApplication of the dispersion relations (DR) in magnetotellurics (MT) is an efficient tool of post-processing and quality assessment of broadband field data. The main limitation of the approach is that it requires the observed transfer functions to be causal and minimum-phase (MP), which is formally secured only for 1-D and some types of 2-D impedances. As a consequence, many MT practitioners involuntarily restrict the DR application to apparent resistivity curves acquired in relatively simple geological conditions. In the present research, we show how an inherently non-MP or non-causal transfer function could be recognized, and propose a universal technique, which makes it possible to correctly apply the DR virtually to any set of field MT data.
Simple kinetic model for replacement reactions involving solid solutions: the significant role of geofluids
Authors: Kuwatani Tatsu , Toriumi Mitsuhiro 
Published: February 2020

Abstract We develop a kinetic model that illustrates the relative role of intergranular diffusion and surface reactions in overall metamorphic net-transfer reactions involving solid solutions. The behavior and state of the system were observed to depend on the non-dimensional parameter(s), defined herein by$$\gamma \equiv (k \cdot L \cdot K^{n-1}) /D^{\mathrm{eff}}$$γ≡(k·L·Kn-1)/Deff, wherekdenotes the dissolution rate constant of the mineral,Ldenotes the distance between the two minerals participating in the reaction,Kdenotes the coefficient of the equilibrium abundance ratio of the precipitated component in the intergranular fluid to those in the mineral,ndenotes the order of the dissolution reaction, and$$D^{\mathrm{eff}}$$Deffdenotes the effective diffusion coefficient of the precipitated component in the intergranular fluid. When$$\gamma$$γis small, the system becomes homogeneous, which is controlled by the surface reaction. In contrast, a large$$\gamma$$γimplies a heterogeneous system controlled by both surface reaction and diffusion. Geofluid is among the most important influencers of kinetic regimes and reaction textures in metamorphic and metasomatic rocks because the intergranular fluid distribution considerably affects the intergranular diffusivity ($$D^{\mathrm{eff}}$$Deff). Our conceptual model can potentially reveal the nature of the reaction kinetics and the fluid–rock interactions and capture the complex behaviors of natural systems in future extensions.
Network-based indices of individual and collective advising impacts in mathematics
Authors: Semenov Alexander , Veremyev Alexander , Nikolaev Alexander , Pasiliao Eduardo L. , Boginski Vladimir 
Published: February 2020

AbstractAdvising and mentoring Ph.D. students is an increasingly important aspect of the academic profession. We define and interpret a family of metrics (collectively referred to as “a-indices”) that can potentially be applied to “ranking academic advisors” using the academic genealogical records of scientists, with the emphasis on taking into account not only the number of students advised by an individual, but also subsequent academic advising records of those students. We also define and calculate the extensions of the proposed indices that account for student co-advising (referred to as “adjusted a-indices”). In addition, we extend some of the proposed metrics to ranking universities and countries with respect to their “collective” advising impacts, as well as track the evolution of these metrics over the past several decades. To illustrate the proposed metrics, we consider the social network of over 200,000 mathematicians (as of July 2018) constructed using the Mathematics Genealogy Project data.
Clinically relevant factors associated with quantitative optical coherence tomography angiography metrics in deep capillary plexus in patients with diabetes
Authors: Tang Fang Yao , Chan Erica O. , Sun Zihan , Wong Raymond , Lok Jerry , Szeto Simon , Chan Jason C. , Lam Alexander , Tham Clement C. , Ng Danny S. , Cheung Carol Y. 
Published: February 2020

Abstract
Background
To test clinically relevant factors associated with quantitative artifact-free deep capillary plexus (DCP) metrics in patients with diabetes mellitus (DM).

Methods
563 eligible eyes (221 with no diabetic retinopathy [DR], 135 with mild DR, 130 with moderate DR, and 77 with severe DR) from 334 subjects underwent optical coherence tomography-angiography (OCT-A) with a swept-source OCT (Triton DRI-OCT, Topcon, Inc., Tokyo, Japan). Strict criteria were applied to exclude from analysis those DCP images with artifacts and of poor quality, including projection artifacts, motion artifacts, blurriness, signal loss, B-scan segmentation error, or low-quality score. A customized MATLAB program was then used to quantify DCP morphology from the artifact-free DCP images by calculating three metrics: foveal avascular zone (FAZ), vessel density (VD), and fractal dimension (FD).

Results
166 (29.5%) eyes were excluded after quality control, leaving in the analysis 397 eyes (170 with no DR, 101 with mild DR, 90 with moderate DR, 36 with severe DR) from 250 subjects. In the multiple regression models, larger FAZ area was associated with more severe DR (β = 0.687; p = 0.037), shorter axial length (AL) (β = − 0.171; p = 0.003), thinner subfoveal choroid thickness (β = − 0.122; p = 0.031), and lower body mass index (BMI) (β = − 0.090; p = 0.047). Lower VD was associated with more severe DR (β = − 0.842; p = 0.001), shorter AL (β = 0.107; p = 0.039), and poorer visual acuity (VA) (β = − 0.133; p = 0.021). Lower FD was associated with more severe DR (β = − 0.891; p < 0.001) and with older age (β = − 0.142; p = 0.004).

Conclusions
Quantitative artifact-free DCP metrics are associated with VA, DR severity, AL, subfoveal choroidal thickness, age, and BMI in diabetic patients. The effects of ocular and systemic factors should be considered for meaningful interpretations of DCP changes in DM patients.
Case study on the use of intensive pediatric neurorehabilitation in the treatment of kernicterus
Authors: Mann Jessie , Wallace Dory A. , DeLuca Stephanie 
Published: February 2020

Abstract
Background
Kernicterus Spectrum Disorder (KSD) is the result of prolonged bilirubin toxicity resulting in widespread neurological injury. Once the bilirubin levels are normalized the encephalopathy becomes static, however the consequences of the injury can have life-long effects. The sequelae of KSD include motor impairments, auditory deficits, dental dysplasia, and potentially cognitive impairments. While KSD is a rare diagnosis, particularly in developed countries, there is evidence that there may be a global increase in incidence (Hansen, Semin Neonatol 7:103–9, 2002; Johnson, J Perinatol 29:S25–45, 2009; Kaplan etal. Neonatology 100:354–62, 2011; Maisels, Early Hum Dev 85:727–32, 2009; Olusanya etal., Arch Dis Child 99:1117–21, 2014; Steffensrud, Newborn Infant Nurs Rev 4:191–200, 2004). The literature on the treatment of various specific sequelae of KSD is varied, but in general specific therapeutic efforts to improve motor skills are not evidenced-based. The following is a case report on the use of Acquire therapy, an intensive neuromotor intervention, to ameliorate some of the motor-function deficits secondary to KSD.

Case presentation
This case-report presents the results of two intensive therapeutic intervention sessions in one male child with KSD. Treatments occurred at 28 and 34 months. The child presented with fine and gross motor deficits as well as communication delays. Each session consisted of daily therapy for 4 h each weekday for 3 weeks. The child was assessed before and after treatment with 2 standardized measures, the Gross Motor Function Measure (GMFM) and The Bayley Scales of Infant and Toddler Development (Bayley).

Conclusions
The GMFM at the 1st assessment was 34, 74at the 2nd assessment (after intervention 1), and 64 at the third assessment and 104 at the 4th assessment (after intervention 2). The Bayley at the 3rd assessment was 18, and 38 at the 4th assessment (after intervention 2).