bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enabling Team Autonomy in a Large Public Organization
Authors: Mohagheghi Parastoo , Lassenius Casper , Bakken Ingrid Omang 
Published: September 2020

Abstract
This paper describes how autonomy emerged in a team in a large public organization and which factors were important in this process. The organization has back sourced software development and abandoned a stage-based software development process with many handovers between business, IT and vendors. We collected data in four semi-structured interviews and analyzed information on changes in the structure and responsibilities of the team. The team has refined its portfolio for better cohesion, stepwise taken over the responsibility for software development from the vendor and in parallel recruited software developers, UX designers and testers. Product owners have joined the team as well. Supported by changes to the financing model, the team has transformed from mediating between business and vendors to a cross-functional product team with autonomy over its budget, backlog and software development process. As a result, the team can better balance between delivering new features and quality improvements, continuously deliver software with less overhead and focus on its mission to deliver user-friendly services with increased involvement of domain experts. Defining a clear product boundary and reducing dependencies on other teams, developing necessary skills and changing the financing model are recognized as the main success factors, as well as the main challenges in the transition process.
Crowd Agile Model for Effective Software Development
Authors: Qayyum Shamaila , Imtiaz Salma , Khan Huma Hayyat 
Published: September 2020

Abstract
Crowd Sourced Software Development (CSSD) is becoming popular in software development industries due to reduced cost and efficiency. Many companies are moving towards crowdsourcing, and have already adopted Agile Software Development (ASD). However, CSSD differs from ASD in many ways due to its distributed nature. Although there is little research on the integration of these two approaches, whereas at the same time the combination of the two is advocated by some. It is deemed necessary to identify and resolve the issues emerged while integrating CSSD and ASD. This study hence intends to explore the issues emerged as a result of integrating agile and CSSD and propose a Crowd Agile model that will help in effective software development.
Continuous Information Monitoring in Software Startups
Authors: Rafiq Usman , Wang Xiaofeng 
Published: September 2020

Abstract
Software startups are central nowadays and considered primary drivers of economy and innovation. Lean and agile approaches are suggested for software startups to continuously build and validate the product. Thereby, they need to balance between the speed to deliver product and the quality of the product. It further urges startups to continuously monitor the versatile information, adjust their directions, and keep the bird’s-eye view. However, the preliminary literature review highlights that software startups, especially at the early stages, are not even aware of the need for information monitoring. This research project aims to identify how software startups decide what information needs to be monitored. The research plan proposes to utilize multiple case-study and surveys as data collection methods while grounded theory and factor analysis as data analysis procedures. Overall, both qualitative and quantitative research methods are expected to be implemented. The prospective research results encompass a framework to decide what information needs to be continuously monitored.
Is It Possible to Apply Agile Methods to Contribute to the Linux Kernel?
Authors: de Oliveira Rosa Thatiane , Goldman Alfredo 
Published: September 2020

Abstract
In this document, we describe the experience of teaching Agile Methods for developing projects related to the Linux Kernel, during the XP Lab course. In 2018, the first project related to this context emerged. This project had the objective of making adjustments to the driver for Linux IIO subsystem. The second project was developed in 2019 and aimed to refactor the Ethernet driver used in the kernel of a Brazilian Single Board Computer. Based on 19 years of experience offering the XP Lab course, we consider the development of these projects to be a challenging teaching activity, which deserves to be presented and discussed with students, educators, and professionals. Our aim is to show that it is possible to adapt Agile Values to different software development settings.
ICO Crowdfunding: Incentives, Pricing Strategy, Token Strategy and Crowd Involvement
Authors: Laatikainen Gabriella , Semenov Alexander , Zhang Yixin , Abrahamsson Pekka 
Published: September 2020

AbstractBlockchain technologies provide means to develop services that are secure, transparent and efficient by nature. Unsurprisingly, the emerging business opportunities has gained a lot of interest that is realized in form of successful Initial Coin Offerings (ICOs) that are able to raise billions of USD through crowdfunding campaign. In this exploratory research we study 91 ICOs through content analysis in order to investigate the special characteristics of ICO crowdfunding as business models towards the possible investors. We found that ICOs can be described through (1) the model for providing incentives for investment, (2) the pricing strategy, (3) the token strategy and (4) the activities for crowd involvement in value co-creation.
Wilson loops in 5d long quiver gauge theories
Authors: Uhlemann Christoph F. 
Published: September 2020

Abstract
Quiver gauge theories with a large number of nodes host a wealth of Wilson loop operators. Expectation values are obtained, using supersymmetric localization, for Wilson loops in the antisymmetric representations associated with each individual gauge node, for a sample of 5d long quiver gauge theories whose UV fixed points have holographic duals in Type IIB. The sample includes the TN theories and the results are uniformly given in terms of Bloch-Wigner functions. The holographic representation of the Wilson loops is identified. It comprises, for each supergravity solution, a two-parameter family of D3-branes which exactly reproduce the field theory results and identify points in the internal space with the faces of the associated 5-brane web. The expectation values of (anti)fundamental Wilson loops exhibit an enhanced scaling for many operators, which matches between field theory and supergravity.
Handling deviating control values in concentration-response curves
Authors: Kappenberg Franziska , Brecklinghaus Tim , Albrecht Wiebke , Blum Jonathan , van der Wurp Carola , Leist Marcel , Hengstler Jan G. , Rahnenführer Jörg 
Published: September 2020

AbstractIn cell biology, pharmacology and toxicology dose-response and concentration-response curves are frequently fitted to data with statistical methods. Such fits are used to derive quantitative measures (e.g. EC$$_{20}$$

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values) describing the relationship between the concentration of a compound or the strength of an intervention applied to cells and its effect on viability or function of these cells. Often, a reference, called negative control (or solvent control), is used to normalize the data. The negative control data sometimes deviate from the values measured for low (ineffective) test compound concentrations. In such cases, normalization of the data with respect to control values leads to biased estimates of the parameters of the concentration-response curve. Low quality estimates of effective concentrations can be the consequence. In a literature study, we found that this problem occurs in a large percentage of toxicological publications. We propose different strategies to tackle the problem, including complete omission of the controls. Data from a controlled simulation study indicate the best-suited problem solution for different data structure scenarios. This was further exemplified by a real concentration-response study. We provide the following recommendations how to handle deviating controls: (1) The log-logistic 4pLL model is a good default option. (2) When there are at least two concentrations in the no-effect range, low variances of the replicate measurements, and deviating controls, control values should be omitted before fitting the model. (3) When data are missing in the no-effect range, the Brain-Cousens model sometimes leads to better results than the default model.
A blow-up dichotomy for semilinear fractional heat equations
Authors: Laister Robert , Sierżęga Mikołaj 
Published: September 2020

AbstractWe derive a blow-up dichotomy for positive solutions of fractional semilinear heat equations on the whole space. That is, within a certain class of convex source terms, we establish a necessary and sufficient condition on the source for all positive solutions to become unbounded in finite time. Moreover, we show that this condition is equivalent to blow-up of all positive solutions of a closely-related scalar ordinary differential equation.
A CE-ICP-MS/MS method for the determination of superparamagnetic iron oxide nanoparticles under simulated physiological conditions
Authors: Kruszewska Joanna , Sikorski Jacek , Samsonowicz-Górski Jan , Matczuk Magdalena 
Published: September 2020

AbstractOver the past few years, superparamagnetic iron oxide nanoparticles (SPIONs) have attracted much attention due to their medicinally attractive properties and their possible application in cancer diagnosis and therapy. However, there is still a lack of appropriate methods to enable quantitative monitoring of the particle changes in a physiological environment, which could be beneficial for evaluating their in vitro and in vivo behavior. For this reason, the main goal of this study was the development of a novel capillary electrophoresis-inductively coupled plasma mass spectrometry (CE-ICP-MS/MS) method for the determination of SPIONs suitable for the future examination of their changes upon incubation with proteins under simulated physiological conditions. The type and flow rate of the collision/reaction gas were chosen with the aim of simultaneous monitoring of Fe and S. The type and concentration of the background electrolyte, applied voltage, and sample loading were optimized to obtain SPION signals of the highest intensity and minimum half-width of the peak. Analytical parameters were at a satisfactory level: reproducibility (intra- and inter-day) of migration times and peak areas (presented as RSD) in the range of 0.23–4.98%, recovery: 96.7% and 93.3%, the limit of detection (for monitoring 56Fe16O+ by mass-shift approach) 54 ng mL−1 Fe (0.97 μM) and 101 ng mL−1 Fe (1.82 μM) for SPIONs with carboxyl and amino terminal groups, respectively. To the best of our knowledge, this is the first reported use of CE-ICP-MS/MS for the quantification of SPIONs and monitoring of interactions with proteins.
Green coffee derived supplements and infusions as a source of polyamines and free amino acids
Authors: Macheiner Lukas , Schmidt Anatol , Mayer Helmut K. 
Published: September 2020

AbstractThis work reports on monoamines (MA), diamines (DA) and polyamines (PA) as well as free amino acids (fAA) in nutritional supplements and infusions derived from green coffee beans. Samples were investigated using a ultra-high performance liquid chromatography UV/FLR method, which was validated regarding specificity, linearity, range, precision, accuracy and limits of detection and quantification. Nutritional supplements based on green coffee beans showed large amounts of total amines ranging from 1090 to 2593 mg/kg, with exceptional high levels of spermidine up to 724 mg/kg, and a content of fAA from 4004 to 12,389 mg/kg. Infusions brewed from green coffee beans showed much lower contents of amines (14–17 mg/L) and fAA (78–100 mg/L). However, if the customary edible portion was considered, infusions from green coffee were a mainly better source for MA and PA as well for fAA, compared to nutritional supplements. Tryptamine and tyramine were predominant as MA putrescine as DA, and spermidine as PA, respectively.
Graphic abstract
A placebo-controlled, double-blind, randomized study of recombinant thrombomodulin (ART-123) to prevent oxaliplatin-induced peripheral neuropathy
Authors: Kotaka Masahito , Saito Yoji , Kato Takeshi , Satake Hironaga , Makiyama Akitaka , Tsuji Yasushi , Shinozaki Katsunori , Fujiwara Toshiyoshi , Mizushima Tsunekazu , Harihara Yasushi , Nagata Naoki , Kurihara Naoto , Ando Masahiko , Kusakawa Genichi , Sakai Takumi , Uchida Yugo , Takamoto Mikihiro , Kimoto Saki , Hyodo Ichinosuke 
Published: September 2020

Abstract
Purpose
The purpose of this clinical study was to be the first to explore whether ART-123, a recombinant human soluble thrombomodulin, prevents oxaliplatin-induced peripheral neuropathy (OIPN).

Methods
This randomized, phase IIa trial enrolled stage II/III colon cancer patients who received adjuvant mFOLFOX6 chemotherapy. Participants were randomly allocated to 3 arms in a double-blind manner: placebo (placebo: days 1–3); 1-day ART (ART-123: day 1, placebo: days 2–3); and 3-day ART (ART-123: days 1–3). ART-123 (380 U/kg/day) or placebo was infused intravenously before each 2-week cycle of mFOLFOX6. OIPN was assessed with the Functional Assessment of Cancer Therapy/Gynecological Oncology Group-Neurotoxicity-12 (FACT/GOG-Ntx-12) score by participants and the NCI Common Terminology Criteria for Adverse Events (NCI-CTCAE) by investigators.

Results
Seventy-nine participants (placebo n = 28, 1-day ART n = 27, 3-day ART n = 24) received study drugs. The least-squares mean FACT/GOG-Ntx-12 scores at cycle 12 from the mixed effect model for repeated measures were 28.9 with placebo, 36.3 with 1-day ART (vs. placebo: 7.3 [95% CI 1.9 to12.8, p = 0.009]), and 32.3 with 3-day ART (vs. placebo: 3.4 [95% CI −.1 to 9.0, p = 0.222]). The cumulative incidence of NCI-CTCAE grade ≥ 2 sensory neuropathy at cycle 12 was 64.3% with placebo, 40.7% with 1-day ART (vs. placebo: −23.5 [95% CI −48.4 to 4.0], p = 0.108), and 45.8% with 3-day ART (vs. placebo: −18.5 [95% CI −44.2 to 9.4], p = 0.264). Common adverse events were consistent with those reported with mFOLFOX6; no severe bleeding adverse events occurred.

Conclusion
ART-123 showed a potential preventive effect against OIPN with good tolerability. A larger study with 1-day ART is warranted.
NCT02792842, registration date: June 8, 2016
Cooperativity, absolute interaction, and algebraic optimization
Authors: Kaihnsa Nidhi , Ren Yue , Safey El Din Mohab , Martini Johannes W. R. 
Published: September 2020

AbstractWe consider a measure of cooperativity based on the minimal interaction required to generate an observed titration behavior. We describe the corresponding algebraic optimization problem and show how it can be solved using the nonlinear algebra tool . Moreover, we compute the minimal interactions and minimal molecules for several binding polynomials that describe the oxygen binding of various hemoglobins under different conditions. We compare their minimal interaction with the maximal slope of the Hill plot, and discuss similarities and discrepancies with a view towards the shapes of the binding curves.
Peaks in online inquiries into pharyngitis-related symptoms correspond with annual incidence rates
Authors: Brkic Faris F. , Besser Gerold , Janik Stefan , Gadenstaetter Anselm J. , Parzefall Thomas , Riss Dominik , Liu David T. 
Published: September 2020

Abstract
Objective
To assess whether web-based public inquiries into pharyngitis-related search terms follow annual incidence peaks of acute pharyngitis in various countries from both hemispheres.

Methods
Google Trends (GT) was utilized for systematic acquisition of pharyngitis-related search terms (sore throat, cough, fever, cold). Six countries from both hemispheres including four English (United Kingdom, United States, Canada, and Australia) and two non-English speaking countries (Austria and Germany) were selected for further analysis. Time series data on relative search interest for pharyngitis-related search terms, covering a timeframe between 2004 and 2019 were extracted. Following reliability analysis using the intra-class correlation coefficient, the cosinor time series analysis was utilized to determine annual peaks in public-inquiries.

Results
The extracted datasets of GT proved to be highly reliable with correlation coefficients ranging from 0.83 to 1.0. Graphical visualization showed annual seasonal peaks for pharyngitis-related search terms in all included countries. The cosinor time series analysis revealed these peaks to be statistically significant during winter months (all p < 0.001).

Conclusion
Our study revealed seasonal variations for pharyngitis-related terms which corresponded to winter incidence peaks of acute pharyngitis. These results highlight the need for easily accessible information on diagnosis, therapy, and red-flag symptoms for this common disease. Accurately informed patients might contribute to a reduction of unnecessary clinic visits and potentially cutback the futile antibiotic overuse.
Simultaneous identification to monitor consortia strain dynamics of four biofuel yeast species during fermentation
Authors: Perez Gabriel , Debernardis Florencia , Boido Eduardo , Carrau Francisco 
Published: September 2020

AbstractMixed strain dynamics are still not well or easily monitored although recently molecular identification methods have improved our knowledge. This study used a chromogenic differential plating medium that allows the discrimination of four of the main selected biofuel strains that are currently under development for ethanol production from cellulosic hydrolysates. Complete fermentation of hexoses and xylose was obtained with a yeast consortium composed of Spathaspora passalidarum, Scheffersomyces stipitis, Candida akabanensis and Saccharomyces cerevisiae. The results showed that C.akabanensis excessively dominated consortium balance. Reducing its inoculum from 33 to 4.8% improved population strain balance and fermentation efficiency. Comparison of the consortia with single strain fermentations showed that it optimize sugar consumption and ethanol yields. This simple and cheap method also has advantages compared with molecular methods, as the yeast strains do not need to be genetically marked and identified cell proportions are probably active in the fermentation system as compared to DNA determination methods.
A framework for temporal and spatial rockfall early warning using micro-seismic monitoring
Authors: Feng Liang , Intrieri Emanuele , Pazzi Veronica , Gigli Giovanni , Tucci Grazia 
Published: September 2020

AbstractRockfall risk is usually characterized by a high frequency of occurrence, difficulty in prediction (given high velocity, lack of noticeable forerunners, abrupt collapse, and complex mechanism), and a relatively high potential vulnerability, especially against people and communication routes. Considering that larger rockfalls and rockslides are generally anticipated by an increased occurrence of events, in this study, a framework based on microseismic monitoring is introduced for a temporal and spatial rockfall early warning. This approach is realized through the detection, classification, and localization of all the rockfalls recorded during a 6-month-long microseismic monitoring performed in a limestone quarry in central Italy. Then, in order to provide a temporal warning, an observable quantity of accumulated energy, associated to the rockfall rolling and bouncing and function of the number and volume of events in a certain time window, has been defined. This concept is based on the material failure method developed by Fukuzono-Voight. As soon as the first predicted time of failure and relative warning time are declared, all the rockfalls occurred in a previous time window can be located in a topographic map to find the rockfall susceptible area and thus to complement the warning with spatial information. This methodology has been successfully validated in an ex post analysis performed in the aforementioned quarry, where a large rockfall was forecasted with a lead time of 3 min. This framework provides a novel way for rockfall spatiotemporal early warning, and it could be helpful for activating traffic lights and closing mountain roads or other transportation lines using the knowledge of the time and location of a failure. Since this approach is not based on the detection of the triggering events (like for early warnings based on rainfall thresholds), it can be used also for earthquake-induced failures.
The duty to take appropriate measures to prevent significant transboundary harm and private companies: insights from transboundary hydropower projects
Authors: Rieu-Clarke Alistair 
Published: September 2020

AbstractRecognition that hydropower plays a role in fostering sustainable development and helping countries move away from fossil fuels has led to a resurgence of planned projects on transboundary rivers around the world. Whilst these projects offer clear benefits, they are not without their socio-ecological impacts. An added feature of hydropower projects is that they tend to involve a wide range of actors that are responsible for their financing, planning, construction and operation (international and domestic; private and State). This begs the question, if it is ultimately the responsibility of States to ensure that these projects are in accordance with international law obligations, what does that responsibility entail when much of the activity is conducted by private companies? International law has a long tradition of placing States under an obligation to regulate the conduct of non-State activities so as to prevent transboundary harm. However, a closer review of the law relating to transboundary hydropower projects reveals that more could be done to guide States as to the appropriate measures that they might put in place to ensure that any hydropower projects involving private actors are implemented in an equitable and sustainable manner.
Fast eyes detection in thermal images
Authors: Knapik Mateusz , Cyganek Bogusław 
Published: September 2020

AbstractIn recent years many methods have been proposed for eye detection. In some cases however, such as driver drowsiness detection, lighting conditions are so challenging that only the thermal imaging is a robust alternative to the visible light sensors. However, thermal images suffer from poor contrast and high noise, which arise due to the physical properties of the long waves processing. In this paper we propose an efficient method for eyes detection based on thermal image processing which can be successfully used in challenging environments. Image pre-processing with novel virtual high dynamic range procedure is proposed, which greatly enhances thermal image contrast and allows for more reliable computation of sparse image descriptors. The bag-of-visual-words approach with clustering was selected for final detections. We compare our method with the YOLOv3 deep learning model. Our method attains high accuracy and fast response in real conditions without computational complexity and requirement of a big dataset associated with the deep neural networks. For quantitative analysis a series of thermal video sequences were recorded in which eye locations were manually annotated. Created dataset was made publicly available on our website.