bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal energy management of Ice thermal energy storage-based air conditioning system for commercial buildings in real-time – A review based on POET framework
Authors: Odufuwa O Y , Kusakana K , Numbi B P 
Published: July 2020

Abstract
This paper applied the POET framework to analyze and identify possible energy efficiency activities that may reduce energy costs in HVAC cooling systems with Ice Thermal Energy Storage (ITES) in order to achieve maximum potential cost-savings, particularly for cooling loads in commercial buildings. Significant cost savings may be realized by the optimal shifting of the energy usage profile to the least costly regions of the Time-of-Use (TOU) using the ITES system. Moreover, a further reduction of energy costs may be achieved by introducing renewable energy (RE) sourced systems. A potential reduction of approximately 50% in energy cost savings could be achieved with the application of the POET framework. Improvement in operational efficiency may be achieved if systems were optimally sized and controlled. Studies conducted on control methods have shown that Model Predictive Control (MPC) offers significant benefits of achieving reasonable operational efficiency compared to other methods, particularly on HVAC systems. Combined ITES and hybrid energy systems allow an additional advantage in demand-side management, per the TOU tariff and peak demand. This may ultimately result in minimal energy usage during the costly regions of the TOU tariff, which would minimize energy costs and technology and equipment efficiency may be improved.
Reverse Engineering Website Navigation Using an Information Architecture Approach (Case Study: Kanal Pengetahuan Universitas Gadjah Mada)
Authors: Fikri M , Kusumawardani S S , Ferdiana R 
Published: July 2020

Abstract
In its development, the website of Kanal Pengetahuan UGM is built through a practical approach, so there are many shortcomings in defining the need and strategy information for the needs of the service business. As for the current problem, i.e., poor navigation related to the definition of primary content and links in the navigation menu. This is causing the granularity of information that makes users difficult to understand and find the information they need. This research aims to do reverse engineering of website navigation using the information architecture method to investigate the way how users to find and interact with information content from the website. The main contribution of this research is the analysis of the result of card sorting has directed the research to gain insight into how the users in categorizing information on the website. As a result, in the current system, there are only 3 categories that have not yet represented all the information provided by the website, so that research conducted with 102 participants produced a new navigation proposal with 4 new categories that fit the user’s mental model.
Intensified burn severity in California’s northern coastal mountains by drier climatic condition
Authors: Huang Yuhan , Jin Yufang , Schwartz Mark W , Thorne James H 
Published: July 2020

Abstract
The severity of wildfire burns in interior lands of western US ecosystems has been increasing. However, less is known about its coastal mountain ecosystems, especially under extreme weather conditions, raising concerns about the vulnerability of these populated areas to catastrophic fires. Here we examine the fine-scale association between burn severity and a suite of environmental drivers including explicit fuel information, weather, climate, and topography, for diverse ecosystems in California’s northern coastal mountains. Burn severity was quantified using Relative difference Normalized Burn Ratio from Landsat multispectral imagery during 1984–2017. We found a significant increasing trend in burned areas and severity. During low-precipitation years, areas that burned had much lower fuel moisture and higher climatic water deficit than in wetter years, and the percentage of high-severity areas doubled, especially during the most recent 2012–2016 drought. The random forest (RF) machine learning model achieved overall accuracy of 79% in classifying categories of burn severity. Aspect, slope, fuel type and availability, and temperature were the most important drivers, based on both classification and regression RF models. We further examined the importance of drivers under four climatic conditions: dry vs. wet years, and during two extended drought periods (the 2012–2016 warmer drought vs. the 1987–1992 drought). During warm and dry years, the spatial variability of burn severity was a mixed effect of slope, long-term minimum temperature, fuel amount, and fuel moisture. In contrast, climatic water deficit and short-term weather became dominant factors for fires during wetter years. These results suggest that relative importance of drivers for burn severity in the broader domain of California’s northern coastal mountains varied with weather scenarios, especially when exacerbated by warm and extended drought. Our findings highlight the importance of targeting areas with high burn severity risk for fire adaptation and mitigation strategies in a changing climate and intensifying extremes.
A systematical ab-initio review of promising 2D MXene monolayers towards Li-ion battery applications
Authors: Yorulmaz Uğur , Demiroğlu İlker , Çakir Deniz , Gülseren Oğuz , Sevik Cem 
Published: July 2020

Abstract
Two-dimensional materials have been attracting increasing interests because of their outstanding properties for Lithium-ion battery applications. In particular, a material family called MXenes (Mn+1Cn, where n = 1, 2, 3) have been recently attracted immense interest in this respect due to their incomparable fast-charging properties and high capacity promises. In this article, we review the state-of-the-art computational progress on Li-ion battery applications of MXene materials in accordance with our systematical DFT calculations. Structural, mechanical, dynamical, and electrical properties of 20 distinct MXene (M: Sc, Ti, V, Cr, Nb, Mo, Hf, Ta, W, and Zr) have been discussed. The battery performances of these MXene monolayers are further investigated by Li-ion binding energies, open circuit voltage values, and Li migration energy barriers. The experimental and theoretical progress up to date demonstrates particularly the potential of non-terminated or pristine MXene materials in Li ion-storage applications. Stability analyses show most of the pristine MXenes should be achievable, however susceptible to the development progress on the experimental growth procedures. Among pristine MXenes, Ti2C, V2C, Sc2C, and Zr2C compounds excel with their high charge/discharge rate prospect due to their extremely low Li diffusion energy barriers. Considering also their higher predicted gravimetric capacities, Sc, Ti, V, and Zr containing MXenes are more promising for their utilization in energy storage applications.
Preanalytical Challenges During Capillary Fingerstick Sampling Preclude Its Widespread Use in Adult Hospitalized Patients
Authors: Jankowski Christopher A , Casapao Anthony M , Siller Sandra , Isache Carmen , Cani Kelia V , Claudio Alyssa M , Brown Megan , Milstid Bryan , Feldhammer Matthew 
Published: July 2020

Abstract

Objectives
Patient compliance with laboratory testing is one of the most underrecognized challenges in developing a treatment plan for acute and chronically ill patients. The ability to offer alternatives to standard venipuncture blood draws would greatly increase a laboratory’s ability to provide testing to patients and health care providers.

Methods
We performed a prospective observational study on paired venous and fingerstick capillary blood samples from admitted patients undergoing vancomycin therapy. Paired specimens were analyzed for vancomycin and a basic metabolic panel (BMP: calcium, carbon dioxide, chloride, potassium, sodium, creatinine, glucose, serum urea nitrogen) on the core laboratory’s automated chemistry and immunochemistry platforms.

Results
A total of 59 paired fingerstick and venous blood specimens from 56 unique inpatients were analyzed. Paired samples were comparable for all the analytes tested with the exception of bicarbonate and potassium, which were significantly different among the capillary sample group. Patients required multiple fingers be lanced in 15% of cases to obtain sufficient blood to carry out the testing. Capillary sample rejection rates due to insufficient volumes were as high as 30% in the initial 30 patients enrolled in the study.

Conclusions
Vancomycin and the BMP, with the exception of potassium and bicarbonate, were determined to be analytically comparable. However, significant preanalytical issues should preclude laboratories and providers from more widespread adoption of fingerstick-derived capillary blood as an alternative sampling method except in the most extenuating of circumstances.
Retinoic acid receptor antagonists for male contraception: current status†
Authors: Noman Md Abdullah Al , Kyzer Jillian L , Chung Sanny S W , Wolgemuth Debra J , Georg Gunda I 
Published: July 2020

Abstract
Retinoic acid receptor alpha (RARA), a nuclear receptor protein, has been validated as a target for male contraception by gene knockout studies and also pharmacologically using a pan-retinoic acid receptor antagonist. Retinoic acid receptor alpha activity is indispensable for the spermatogenic process, and therefore its antagonists have potential as male contraceptive agents. This review discusses the effects of systematic dosing regimen modifications of the orally bioavailable and reversible pan-antagonist BMS-189453 as well as studies with the alpha-selective antagonists BMS-189532 and BMS-189614 in a murine model. We also provide an overview of structure–activity studies of retinoic acid receptor alpha antagonists that provide insight for the design of novel alpha-selective ligands.
Hypokalaemic periodic paralysis with a charge-retaining substitution in the voltage sensor
Authors: Kubota Tomoya , Wu Fenfen , Vicart Savine , Nakaza Maki , Sternberg Damien , Watanabe Daisuke , Furuta Mitsuru , Kokunai Yosuke , Abe Tatsuya , Kokubun Norito , Fontaine Bertrand , Cannon Stephen C , Takahashi Masanori P 
Published: July 2020

AbstractFamilial hypokalaemic periodic paralysis is a rare skeletal muscle disease caused by the dysregulation of sarcolemmal excitability. Hypokalaemic periodic paralysis is characterized by repeated episodes of paralytic attacks with hypokalaemia, and several variants in CACNA1S coding for CaV1.1 and SCN4A coding for NaV1.4 have been established as causative mutations. Most of the mutations are substitutions to a non-charged residue, from the positively charged arginine (R) in transmembrane segment 4 (S4) of a voltage sensor in either CaV1.1 or NaV1.4. Mutant channels have aberrant leak currents called ‘gating pore currents’, and the widely accepted consensus is that this current is the essential pathological mechanism that produces susceptibility to anomalous depolarization and failure of muscle excitability during a paralytic attack. Here, we have identified five hypokalaemic periodic paralysis cases from two different ethnic backgrounds, Japanese and French, with charge-preserving substitutions in S4 from arginine, R, to lysine, K. An R to K substitution has not previously been reported for any other hypokalaemic periodic paralysis families. One case is R219K in NaV1.4, which is located at the first charge in S4 of Domain I. The other four cases all have R897K in CaV1.1, which is located at the first charge in S4 of Domain III. Gating pore currents were not detected in expression studies of CaV1.1-R897K. NaV1.4-R219K mutant channels revealed a distinct, but small, gating pore current. Simulation studies indicated that the small-amplitude gating pore current conducted by NaV1.4-R219K is not likely to be sufficient to be a risk factor for depolarization-induced paralytic attacks. Our rare cases with typical hypokalaemic periodic paralysis phenotypes do not fit the canonical view that the essential defect in hypokalaemic periodic paralysis mutant channels is the gating pore current and raise the possibility that hypokalaemic periodic paralysis pathogenesis might be heterogeneous and diverse.
Tumor somatic mutations also existing as germline polymorphisms may help to identify functional SNPs from genome-wide association studies
Authors: Gorlov Ivan P , Xia Xiangjun , Tsavachidis Spiridon , Gorlova Olga Y , Amos Christopher I 
Published: July 2020

Abstract
We hypothesized that a joint analysis of cancer risk-associated single-nucleotide polymorphism (SNP) and somatic mutations in tumor samples can predict functional and potentially causal SNPs from GWASs. We used mutations reported in the Catalog of Somatic Mutations in Cancer (COSMIC). Confirmed somatic mutations were subdivided into two groups: (1) mutations reported as SNPs, which we call mutational/SNPs and (2) somatic mutations that are not reported as SNPs, which we call mutational/noSNPs. It is generally accepted that the number of times a somatic mutation is reported in COSMIC correlates with its selective advantage to tumors, with more frequently reported mutations being more functional and providing a stronger selective advantage to the tumor cell. We found that mutations reported ≥10 times in COSMIC—frequent mutational/SNPs (fmSNPs) are likely to be functional. We identified 12 cancer risk-associated SNPs reported in the Catalog of published GWASs at least 10 times as confirmed somatic mutations and therefore deemed to be functional. Additionally, we have identified 42 SNPs that are tightly linked (R2 ≥ 0.8) to SNPs reported in the Catalog of published GWASs as cancer risk associated and that are also reported as fmSNPs. As a result, 54 candidate functional/potentially causal cancer risk associated SNPs were identified. We found that fmSNPs are more likely to be located in evolutionarily conserved regions compared with cancer risk associated SNPs that are not fmSNPs. We also found that fmSNPs also underwent positive selection, which can explain why they exist as population polymorphisms.
Mitigation of a Coronavirus Disease 2019 Outbreak in a Nursing Home Through Serial Testing of Residents and Staff
Authors: Escobar Daniel J , Lanzi Maria , Saberi Pouné , Love Ruby , Linkin Darren R , Kelly John J , Jhala Darshana , Amorosa Valerianna , Hofmann Mary , Doyon Jeffrey B 
Published: July 2020

Abstract
Nursing homes and long-term care facilities represent highly vulnerable environments for respiratory disease outbreaks, such as coronavirus disease 2019 (COVID-19). We describe a COVID-19 outbreak in a nursing home that was rapidly contained by using a universal testing strategy of all residents and nursing home staff.
Utility of a Fifth-Generation Ultrasensitive Prostate-Specific Antigen Assay for Monitoring Prostate Cancer Patients after Radical Prostatectomy with 3 Years of Follow-Up
Authors: Ren Annie H , Soosaipillai Antoninus , Mathew Anu , Nikolenko Galina , Sardesai Laukik , Stengelin Martin , Diamandis Eleftherios P 
Published: July 2020

Abstract

Background
We investigated an ultrasensitive prostate-specific antigen (uPSA) immunoassay (MesoScale; lower limit of detection (LLD) of 0.0035 pg/mL) to monitor patients with prostate cancer (PCa) following radical prostatectomy (RP) and to examine whether changes in PSA in the conventionally undetectable range (&lt;1 pg/mL) can predict biochemical relapse (BCR).

Methods
We measured uPSA in serial serum samples (N = 100) collected from 20 RP cases with a third-generation ELISA (LLD of 1 pg/mL) and the fifth-generation MesoScale assay. We analyzed the PSA nadir changes to classify patients into BCR or non-BCR groups, observed the trends in PSA kinetics, and associated BCR status with clinicohistopathological features.

Results
The ELISA could quantify PSA in only 38% of the RP samples, detecting BCR in 7 of 20 patients with PCa. The MesoScale assay quantified PSA in all samples, showing 8 of 20 patients with BCR. However, there was no significant difference between the median time to BCR detection based on ELISA (1016 days) compared with MesoScale data (949 days). Gleason scores were higher in the BCR groups compared with non-BCR. There was no significant difference for other clinicohistopathological parameters.

Conclusions
The uPSA MesoScale technology could track miniscule changes in serum PSA in the range of 0.003–1 pg/mL in all RP cases. However, PSA kinetics and nadir at concentrations &lt;2 pg/mL fluctuated, and increases below this range could not reliably suggest signs of BCR. Instead, ultrasensitive fifth-generation PSA assays may hold clinical potential for measuring the low concentrations of PSA in women for various medical contexts.
Identifying and estimating the effects of unconventional monetary policy: How to do it and what have we learned?
Authors: Rossi Barbara 
Published: July 2020

Summary
The recent financial crisis led central banks to lower their interest rates in order to stimulate the economy until they hit the zero lower bound. How should one identify monetary policy shocks in unconventional times? Are unconventional monetary policies as effective as conventional ones? And has the monetary policy transmission mechanism changed in the zero lower bound era? This article aims to provide an overview of the econometric challenges of and the solutions to the identification of monetary policy shocks in unconventional times as well as a survey of their empirical effects on the economy.
A complexity-driven framework for waveform tomography with discrete adjoints
Authors: Szenicer Alexandre , Leng Kuangdai , Nissen-Meyer Tarje 
Published: July 2020

Summary
We develop a new approach for computing Fréchet sensitivity kernels in full waveform inversion by using the discrete adjoint approach in addition to the widely used continuous adjoint approach for seismic waveform inversion. This method is particularly well suited for the forward solver AxiSEM3D, a combination of the spectral-element method (SEM) and a Fourier pseudo-spectral method, which allows for a sparse azimuthal wavefield parametrization adaptive to wavefield complexity, leading to lower computational costs and better frequency scaling than conventional 3-D solvers. We implement the continuous adjoint method to serve as a benchmark, additionally allowing for simulating off-axis sources in axisymmetric or 3-D models. The kernels generated by both methods are compared to each other, and benchmarked against theoretical predictions based on linearized Born theory, providing an excellent fit to this independent reference solution. Our verification benchmarks show that the discrete adjoint method can produce exact kernels, largely identical to continuous kernels. While using the continuous adjoint method we lose the computational advantage and fall back on a full-3-D frequency scaling, using the discrete adjoint retains the speedup offered by AxiSEM3D. We also discuss the creation of a data-coverage based mesh to run the simulations on during the inversion process, which would allow to exploit the flexibility of the Fourier parametrization and thus the speedup offered by our method.
Is it a possibility to achieve energy plus prefabricated building worldwide?
Authors: Alkhalidi Ammar , Abuothman Abeer , AlDweik Abdallah , Al-Bazaz Al-Hamza 
Published: July 2020

Abstract
Prefabricated buildings constructed to be used in a specific region cannot be assumed to work unconditionally in different climates around the world. It is important to develop passive house solutions for each location, suitable for the actual climate and geographic conditions. Shelters could be used in different applications such as refugee housing or telecommunication stations. Photovoltaic energy could cover the electricity consumption of these shelters. Shelters for different applications should be usable in all weather conditions, and because of that different climate zones were chosen. A full study about three climate zones was done to study the different factors that play a significant rule in choosing the location of the shelter. In this study, prefabricated housing was designed to ensure thermal comfort by doing structure design changes and using solar energy as an energy source. Three different locations have been chosen to be able to perform the best structure and components design for every location, taking into consideration the assumptions taken in each place. The total photovoltaic system was designed with a capacity of hot, moderate and cold climate zones with 2.0, 1.8 and 3.45 kWp, respectively, along with energy plus the production of 38% in the hot, 47% in the moderate and 28% in the cold climate.
Affine Equivalence and Saddle Connection Graphs of Half-Translation Surfaces
Authors: Pan Huiping 
Published: July 2020

AbstractTo every half-translation surface, we associate a saddle connection graph, which is a subgraph of the arc graph. We prove that every isomorphism between two saddle connection graphs is induced by an affine homeomorphism between the underlying half-translation surfaces. We also investigate the automorphism group of the saddle connection graph and the corresponding quotient graph.
Higher genus theory
Authors: Koymans Peter , Pagano Carlo 
Published: July 2020

AbstractIn $1801$, Gauss found an explicit description, in the language of binary quadratic forms, for the $2$-torsion of the narrow class group and dual narrow class group of a quadratic number field. This is now known as Gauss’s genus theory. In this paper, we extend Gauss’s work to the setting of multi-quadratic number fields. To this end, we introduce and parametrize the categories of expansion groups and expansion Lie algebras, giving an explicit description for the universal objects of these categories. This description is inspired by the ideas of Smith [ 16] in his recent breakthrough on Goldfeld’s conjecture and the Cohen–Lenstra conjectures. Our main result shows that the maximal unramified multi-quadratic extension $L$ of a multi-quadratic number field $K$ can be reconstructed from the set of generalized governing expansions supported in the set of primes that ramify in $K$. This provides a recursive description for the group $\textrm{Gal}(L/\mathbb{Q})$ and a systematic procedure to construct the field $L$. A special case of our main result gives an upper bound for the size of $\textrm{Cl}^{+}(K)[2]$.