bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biobanks for future medicine
Authors: Hummel Michael , Specht Cornelia 
Published: November 2019

Abstract
The use of biospecimens for biomedical research is not a new idea. Many important developments for a better understanding of diseases have been made using patient samples and related data. In former times, this was realized by individual researchers and therefore not under controlled conditions. In early times, patients were not asked for their consent and quality of biosamples and data were assessed applying subjective criteria. This has changed significantly in the past two decades especially in terms of patient consent, ethical approval and data privacy. With respect to quality, it has been extremely difficult to establish clear guidelines due to the great heterogeneity of the downstream applications. Especially in the last decade, the impact and importance of well-defined and well-organized centralized biobank infrastructures was recognized globally and enormous efforts have been undertaken to establish and operate institutional biobanks in many of the medical centers. The most recent development refers to the cooperation of biobanks at different locations. Those biobank networks enable the query for biospecimens and data across biobanks in order to collect sufficient number of samples from small disease subgroups which would not be possible for single sites. To serve this need is of utmost importance as the advances in omics technologies allow a highly sophisticated subdivision of diseases into small molecular subgroups. Moreover, the existence of many disease subgroups, which can be ideally targeted with a tailored treatment, challenges the pharma industry: in order to support the development of personalized treatment options, biobank networks offering well-defined patient samples of high quality and with rich clinical information are becoming essential partners not only in academic research but also for companies developing diagnostic tools or new therapies.
Random Schrödinger operators with a background potential
Authors: Asatryan Hayk , Kirsch Werner 
Published: November 2019

Abstract
We consider one-dimensional random Schrödinger operators with a background potential, arising in the inverse scattering problem.
We study the influence of the background potential on the essential spectrum of the random Schrödinger operator and obtain Anderson localization for a larger class of one-dimensional Schrödinger operators.
Further, we prove the existence of the integrated density of states and give a formula for it.
Unconventional monetary policy reaction functions: evidence from the US
Authors: Agnello Luca , Castro Vitor , Dufrénot Gilles , Jawadi Fredj , Sousa Ricardo M. 
Published: November 2019

AbstractWe specify unconventional monetary policy reaction functions for the Fed using linear and nonlinear econometric frameworks. We find that nonstandard policy measures are largely driven by the dynamics of inflation and the output gap, with the effect being particularly strong during QE rounds. Moreover, we uncover the presence of asymmetry and regime dependence in central bank’s actions since the global financial crisis, especially concerning the response of the term spread and the shadow short rate to the growth rate of central bank reserves. From a policy perspective and given the lack of a systematic response of monetary policy to asset price growth in nonstandard times, our findings seem to corroborate the view that concerns about asset price bubbles, financial sector pro-cyclicality and systemic risk should be part of the macro-prudential policy toolkit.
NEXMIF/KIDLIA Knock-out Mouse Demonstrates Autism-Like Behaviors, Memory Deficits, and Impairments in Synapse Formation and Function
Authors: Gilbert James , O'Connor Margaret , Templet Sebastian , Moghaddam Mahsa , Di Via Ioschpe Anaïs , Sinclair Amanda , Zhu Ling-Qiang , Xu Weifeng , Man Heng-Ye 
Published: November 2019

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disability that demonstrates impaired social interactions, communication deficits, and restrictive and repetitive behaviors. ASD has a strong genetic basis and many ASD-associated genes have been discovered thus far. Our previous work has shown that loss of expression of the X-linked geneNEXMIF/KIDLIAis implicated in patients with autistic features and intellectual disability (ID). To further determine the causal role of the gene in the disorder, and to understand the cellular and molecular mechanisms underlying the pathology, we have generated a NEXMIF knock-out (KO) mouse. We find that male NEXMIF KO mice demonstrate reduced sociability and communication, elevated repetitive grooming behavior, and deficits in learning and memory. Loss ofNEXMIF/KIDLIAexpression results in a significant decrease in synapse density and synaptic protein expression. Consistently, male KO animals show aberrant synaptic function as measured by excitatory miniatures and postsynaptic currents in the hippocampus. These findings indicate that NEXMIF KO mice recapitulate the phenotypes of the human disorder. The NEXMIF KO mouse model will be a valuable tool for studying the complex mechanisms involved in ASD and for the development of novel therapeutics for this disorder.SIGNIFICANCE STATEMENTAutism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder characterized by behavioral phenotypes. Based on our previous work, which indicated the loss of NEXMIF/KIDLIA was associated with ASD, we generated NEXMIF knock-out (KO) mice. The NEXMIF KO mice demonstrate autism-like behaviors including deficits in social interaction, increased repetitive self-grooming, and impairments in communication and in learning and memory. The KO neurons show reduced synapse density and a suppression in synaptic transmission, indicating a role for NEXMIF in regulating synapse development and function. The NEXMIF KO mouse faithfully recapitulates the human disorder, and thus serves as an animal model for future investigation of the NEXMIF-dependent neurodevelopmental disorders.
Relationships between metabolic status, seminal adipokines, and reproductive functions in men from infertile couples
Authors: Elfassy Yaelle , Bongrani Alice , Levy Pierre , Foissac Frantz , Fellahi Soraya , Faure Céline , McAvoy Chloé , Capeau Jacqueline , Dupont Joëlle , Fève Bruno , Levy Rachel , Bastard Jean-Philippe , _ _ , _ _ , Levy Rachel , Faure Céline , Sermondade Nathalie , Eustache Florence , Benarroch Myriam , Dupont Charlotte , Cedrin Isabelle , De Larouzière Vanina , Mathieu D’Argent Emmanuelle , Sutton Angela , Guechot Jérôme , Czernichow Sébastien 
Published: November 2019

Objective
Adipokines could be a link between metabolic syndrome (MS) and infertility. While the association between circulating adipokines and fertility has been extensively studied in females, this relationship in males was less investigated, although some adipokines are detectable in seminal plasma (SP). The aim of this study was to determine adipokine levels in blood and SP and to assess the relationships between adipokines, MS and semen parameters in men from infertile couples.

Design
Male partners of infertile couples referred to four medical French centers were enrolled in years 2013–2016.

Methods
Subjects (n = 160) aged 18–45 years were assessed for anthropometric, biochemical, sperm, and circulating hormonal parameters. Leptin, adiponectin, resistin, chemerin, visfatin, and IL-6 were measured in serum and SP.

Results
Infertility duration was higher in men with than without MS. Adipokine concentrations were higher in blood than in SP, except for IL-6 and visfatin. The most striking result was the significant correlation observed between seminal IL-6 and spermatozoid concentration, progressive motility, and sperm vitality. Moreover, while men with MS exhibited an expected lower adiponectinemia, they displayed 2.1-fold higher adiponectin levels in SP than men without MS. Finally, logistic regression analysis showed that BMI, infertility duration, and adiponectin serum/SP ratio were independently associated with MS.

Conclusions
These results suggest an involvement of seminal adipokines to modulate fertility in men with MS and that seminal IL-6 could play a beneficial role on sperm functionality. Further mechanistic studies are necessary to investigate the precise roles of these adipokines in male reproduction.
The Implementation of Foreign Language Learning Policies at State Islamic Higher Education
Authors: Dian Dian 
Published: November 2019

Taking a part in foreign language learning in Indonesia has been an effort for the Indonesian people to be able to absorb and keep up with the development of science and meet the demand of global challenge. This study aims to investigate the implementation of foreign language learning policy at one of the state Islamic higher education as well as the challenges it encounters. The method used is descriptive qualitative by using instruments of observation, interviews, and document analysis. The results of this study show that the university implements language learning through the SKS program in regular classes, through courses in the language center, learning in the fields of Maâ€™had Lughawy and Ma'had Aly (Campus dormitory). Meanwhile, the problems faced in the implementation process are related to human resources, facilities, and learning methods used.Â Â Â
Graph Construction
Authors: Witt Jessica K. 
Published: November 2019

Graphs are an effective and compelling way to present scientific results. With few rigid guidelines, researchers have many degrees-of-freedom regarding graph construction. One such choice is the range of the y-axis. A range set just beyond the data will bias readers to see all effects as big. Conversely, a range set to the full range of options will bias readers to see all effects as small. Researchers should maximize congruence between visual size of an effect and the actual size of the effect. In the experiments presented here, participants viewed graphs with the y-axis set to the minimum range required for all the data to be visible, the full range from 0 to 100, and a range of approximately 1.5 standard deviations. The results showed that participants’ sensitivity to the effect depicted in the graph was better when the y-axis range was between one to two standard deviations than with either the minimum range or the full range. In addition, bias was also smaller with the standardized axis range than the minimum or full axis ranges. To achieve congruency in scientific fields for which effects are standardized, the y-axis range should be no less than 1 standard deviations, and aim to be at least 1.5 standard deviations.
THE IMPORTANCE OF POOL FUNDING FOR FINANCING SUSTAINABLE DEVELOPMENT GOALS
Authors: Khmelyarchuk M. , Imoh Sunday 
Published: November 2019

This paper is devoted to the research of the effectiveness of pool funding as a scientific concept and practical approach to finance sustainable development goals at international and national levels. The essence of the concept is grouping together funds of different economic agents in order to increase the financial capacity and to minimize risks in financing sustainable development goals.According to authors' research, this approach is particularly relevant for countries with transition economies or developing countries, where most of the sustainable development goals are unsolved and require significant resources to finance them. The institutional and economic mechanism for implementing such approach is the creation of national Pool Funds for financing sustainable development programs. A prerequisite for the creation of such funds is the development of a national strategy for financing sustainable development programs in accordance with socio-economic realities and the possibilities of involving various economic agents and partners in the joint financing of programs to provide a secure future for the next generations. Other important prerequisites for the foundation of Pool Funds for sustainable development are: determination of sources of accumulation of financial resources; selection of effective and adequate financial instruments; conducting control of purposeful use of funds and determination of socio-economic effect from financing of projects and programs of sustainable development. According to this approach it will contribute to the concentration and unification of sources and mechanisms for financing sustainable development programs at the national level, as well as for monitoring the use of funds for their intended purposes.
Detecting Oil Spills Underground with Use of Lasers
Authors: Dasgupta Udvash , Jha Nilesh Kumar , Kumar Nishant 
Published: November 2019

Abstract
The problem of groundwater pollution is probably one of the most worrying aspects of deterioration of environment. Underground layers we often see groundwater and other resources get polluted by oil and gas seepage into them. This oil which might also penetrate from surface to underground resources and pollute not only water but also sometimes degrade the quality of soil. So, detection of oil spills underground is very necessary as it can affect the biosphere balance. Oil spills nowadays are easily detected on land and in marine environment through the use of remote applications such as laser Fluor sensors, radars, satellites etc. but it is very difficult to detect oil spills underground and at this stage generally done through Ground penetrating Radars and Electricity Resistivity Imaging which prove to be very costly and time consuming. This Paper proposes the use of ND-YAG laser to detect underground oil spills that may occur from underground oil storage tanks present at refinery sites. Our main motive here is to generate a Cluster group of microwaves which would serve our purpose of surveying clearly our area of interest. The idea is that microwaves will be reflected whenever they will be in contact with high resistivity. Since being a poor conductor of electricity, the hydrocarbon will show higher resistivity. With this proposal we have an advantage that, unwanted diffusion of group of microwaves doesn't take place in this case as we are using microwaves directly after its generation from laser. Firstly, we generate a plasma state which further generates microwaves. Then these microwaves are focused on our area of interest that will be area surrounding the underground oil storing tanks. Reflected signals are recorded on receiving antenna and in this way, we will be recording the time taken by wave to revert back. Through these measurements we will be finding the depth at which a hydrocarbon is present. In this paper complete methodology of the process has been presented. Further work in this field can save our money and can lead us to heaven. Keeping this point in mind the paper has been designed
Steam Pipeline Weld Failure Analysis.
Authors: Elkholy Ahmad , Al Banoon Amani 
Published: November 2019

Abstract
Failure investigation of 12″(305 mm) high pressure steel welded pipe was carried out in this study using ASTM standards in all mechanical and metallurgical tests. Visual inspections was done immediately after receiving the failed pipe section. The pipe was then cut at approximately the center position of the failed-welded joint showing a circumferential crack at the joint along half of the outer surface periphery of the pipe. Tensile, hardness, chemical and microstructural analyses were performed on samples taken at different orientation of the pipe and the weld. Optical emission spectrometer were used to obtain chemical composition of samples. Microstructure testing of surfaces were prepared using grinding, polishing and etching. SEM was used to study failure at high magnification. Root cause of failure was found to be due to combination of operating conditions, oxidation cyclic stresses, and depletion of chromium in the matrix near grain boundaries, methods to reduce corrosion were discussed.
Evaluating the Variability of the Archie Cementation Factor m in Heterogeneous Carbonates: A Case Study from a Lower Cretaceous Reservoir in UAE
Authors: Syofyan Syofvas , Latief Agus Izudin , Ahmed Al Amoudi Mohsen , Al-Shamsi Saif , Hassan Ali Bal Baheeth Asma , Nestyagin Andrey , Ali Al-Shabibi Tariq , Banihammad Basma , Dasgupta Suvodip , Mosse Laurent , Yaseen Albuali Abdulla 
Published: November 2019

ABSTRACT
Carbonate reservoirs introduce challenge in providing accurate water saturation from conventional Archie equation. One of the reasons is due to the variability of the Archie cementation factor "m" because of complex and tortuous nature of these heterogeneous carbonates.
The study was performed by integrating core and log data from advance measurements to understand the root cause and range of the variability and an attempt to link sedimentology and diagenetic facies to petrophysical groups.
The Study focused on a carbonate reservoir with complex pore network. The formation resistivity factor (FRF) measurements were conducted with high-resolution sampling on a selected well. Each of FRF plug has associated porosity, permeability, thin sections, MICP, NMR and high-resolution dual energy micro CT scan. The m value from FRF is then plotted along the porosity-permeability plot. The capillary pressure parameters (entry pressure, slope, inflexion points) were extracted from MICP and relationship is plotted against m. Diagenetic facies described from the thin sections is compared versus m.
Principal component analyses was conducted to identify factors relating to m. The uncertainty on water saturation associated to variable parameter m was assessed using Monte Carlo analysis on multiple wells.
An advanced multi-frequency dielectric logging tool was run on couple of wells to provide variable water-phase tortuosity (MN) measurement. Specific analysis was performed to extract the variable m value from the measurement over limited zones, which has been derived from core "m" measurements.
Several wells located on the flank of the reservoir below water level were evaluated. Dean stark measurements were performed on a well and used to validate the saturation calculation.
It is obvious that the evaluated reservoir has high degree of heterogeneity as indicated by complex pore network with multi modal pore system as shown by the thin sections, MICP and plug CT Scan.
Electrical Submersible Pump Digital Twin, the Missing Link for Successful Condition Monitoring and Failure Prediction
Authors: Lastra Rafael 
Published: November 2019

Abstract
A digital twin is an enhanced digital representation of a real system. Digital twins are able to mimic the operation of physical systems and use data captured from their sensors to detect abnormal conditions and diagnose the cause of the problem. This paper discusses digital twin concept in general and describes the process of developing a digital twin for electric submersible pump (ESP) systems. It includes a description of the different subsystems interacting with the ESP equipment and the physics governing dynamics of each subsystem and the implementation of the digital versions. The ESP digital twin considered in this paper encompasses the ESP lifted well and includes digital versions of the ESP string, well completion, well fluids, and near wellbore reservoir, among others. The document also describes the implementation of the physics models into a simulator capable to represent diverse operating conditions of the system, including failures and transients. Finally, the paper discusses the applications of the ESP digital twin, especially in the development of artificial intelligence (AI) systems for equipment monitoring and failure prediction.
Integrated Techniques for Continuous Rocks Elastic Properties Profile and Geomechanical Characterization
Authors: Hussain Maaruf , Amao Abduljamiu , Muqtadir Arqam , Al-Ramadan Khalid , Babalola Lamidi , Jin Guodong 
Published: November 2019

Abstract
The knowledge of rocks elastic properties (REP) is crucial to geomechanical modeling throughout an asset life cycle. Reliable geomechanical models requires calibration of well log REP with core measurements. However, sample availability, representativeness, time, and cost are problems associated with core measurements. In this paper, we integrated REP derived from two laboratory techniques performed on several core covering over 800 ft interval samples from Paleozoic tight sands and shale reservoirs to obtain a continuous REP profile for better- upscaling of reservoir model parameters. For lithology delineation, intact core samples were scanned utilizing MicroXRF. While, REP was measured using Autoscan and AutoLab systems. The Autoscan employs non- destructive technique to characterize the variability of REP. The AutoLab uses the standard triaxial testing method to provide REP at reservoir conditions. The results were tabulated and statistically treated to establish significant empirical relationships. REP derived from triaxial tests on selected samples include, the P and S wave velocities (Vp and Vs), static moduli (Young’s modulus (Es) and Poisson’s ratio (vs)), as well as dynamic moduli (Young’s modulus (Ed) and Poisson’s ratio (vd)). While the reduced Young’s modulus (E*) was obtained from non- destructive method. Lithofacies were established from elemental data. The E* reveals details of several geomechanical heterogeneity and anisotropy which are not possible with traditional triaxial method. There is a significant correlation between E* and Es, Ed, Vs, and Vp. A continuous REP profile was developed using E* with geochemical data. Based on the characterized profile, fracture height growth barriers identified were toughness/modulus and interface barriers. These can significantly affect hydraulic fracture vertical growth within the studied Paleozoic tight sands and shale reservoirs units.
The approach, which uniquely considered scales of rock geochemical and mechanical properties and data analytics, demostrate the possibility of generating a continuous REP profile using laboratory aquired dataset. Thus, the difficulty associated with geomechanical characterization and model calibration of highly laminated unconventional reservoirs using actual laboratory data is resolved. This has a directly implication to both conventional and unconventional geomechanical modeling, where the determination of upscaled-reservoir model parameters matters.
Condition Monitoring, Continuous Condition Monitoring or Predictive Maintenance? That’s the Question!
Authors: Ferket Johan 
Published: November 2019

Abstract
Asset-intensive companies face tighter maintenance budgets, stricter regulations and increased pressure to improve asset performance, whilst confronted with aging assets and workforce. Managing an asset with these challenges requires informed decision-making based on insight, knowledge and forecasting. Data is a powerful tool to achieve this goal.
‘Internet of things’ innovations have led to a rapid increase in the availability of technical and business data. A few years ago, techniques that were complex and expensive are now more affordable, accessible and increasingly important in order to compete in this world of rapid change.
Field data is faster and immediately available for processing, while more relevant measurements and observations of similar or better quality are leading to more reliable information for decision-making.