bluuebunny/crossref_metadata_2025_split huggingface dataset:
The problem of shelf-warmers in electronic commerce: a proposed solution
Authors: Chodak Grzegorz 
Published: July 2020

AbstractThis paper presents the significant problem of so called shelf-warmers in the environment of electronic commerce. In the first part of the paper, the factors that have led to an increasing stock of shelf-warmers in online stores are discussed. These factors are divided into two groups: those that occur mainly in an online store environment and those not specifically associated with an online environment. One group of factors are related to the large number of items offered in an online store enabled by various models of inventory management (e.g. drop-shipping, 3PL, 4PL), the lack of a need to maintain costly space for the exposition of goods, the heterogeneity of online shoppers and the large number of returns from customers. The other group of factors concern incorrect forecasts of demand, inappropriate inventory control, choice of product assortment, pricing policies and the end of a product’s life cycle. The problem of appropriately identifying shelf-warmers is then discussed and an index measuring the tendency of a good to be a shelf-warmer is proposed. Based on this, different methods for dealing with shelf-warmers are outlined in the form of the use of recommendation systems, search engine optimization and social media. The paper then presents an experiment conducted in a real business environment to assess the effectiveness of some of the aforementioned methods. This experiment resulted in the sale of approximately 33% of 160 selected shelf-warmers and over 50% from one group (number 8) where all the suggestions were implemented, within a period of 10 months. The results obtained show that the methods and recommendations proposed may help online stores to deal with the problem of shelf-warmers.
Cohomogeneity one Alexandrov spaces in low dimensions
Authors: Galaz-García Fernando , Zarei Masoumeh 
Published: July 2020

AbstractAlexandrov spaces are complete length spaces with a lower curvature bound in the triangle comparison sense. When they are equipped with an effective isometric action of a compact Lie group with one-dimensional orbit space, they are said to be of cohomogeneity one. Well-known examples include cohomogeneity-one Riemannian manifolds with a uniform lower sectional curvature bound; such spaces are of interest in the context of non-negative and positive sectional curvature. In the present article we classify closed, simply connected cohomogeneity-one Alexandrov spaces in dimensions 5, 6 and 7. This yields, in combination with previous results for manifolds and Alexandrov spaces, a complete classification of closed, simply connected cohomogeneity-one Alexandrov spaces in dimensions at most 7.
Genetic mutation profile of Chinese HER2-positive breast cancers and genetic predictors of responses to Neoadjuvant anti-HER2 therapy
Authors: Li Kai , Liao Ning , Chen Bo , Zhang Guochun , Wang Yulei , Guo Liping , Wei Guangnan , Jia Minghan , Wen Lingzhu , Ren Chongyang , Cao Li , Mok Hsiaopei , Li Cheukfai , Lin Jiali , Chen Xiaoqing , Zhang Zhou , Hou Ting , Li Min , Liu Jing , Balch Charles M. , Liao Ning 
Published: July 2020

Abstract
Purpose
Despite the therapeutic success of existing HER2-targeted therapies, tumors respond quite differently to them. This study aimed at figuring out genetic mutation profile of Chinese HER2-positive patients and investigating predictive factors of neoadjuvant anti-HER2 responses.

Methods
We employed two cohorts. The first cohort was comprised of 181 HER2-positive patients treated at Guangdong Provincial People’s Hospital from 2012 to 2018. The second cohort included 40 patients from the first cohort who underwent HER2-targeted neoadjuvant chemotherapy. Genetic mutations were characterized using next-generation sequencing. We employed the most commonly used definition of pathological complete response (pCR)-eradication of tumor from both breast and lymph nodes (ypT0/is ypN0).

Results
In Chinese HER2-positive breast cancer patients, TP53 (74.6%), CDK12 (64.6%) and PIK3CA (46.4%) have the highest mutation frequencies. In cohort 2, significant differences were found between pCR and non-pCR groups in terms of the initial Ki67 status, TP53 missense mutations, TP53 LOF mutations, PIK3CA mutations and ROS1 mutations (p = 0.028, 0.019, 0.005, 0.013, 0.049, respectively). Furthermore, TP53 LOF mutations and initial Ki67 status (OR 7.086, 95% CI 1.366–36.749, p = 0.020 and OR 6.007, 95% CI 1.120–32.210, p = 0.036, respectively) were found to be predictive of pCR status.

Conclusion
TP53 LOF mutations and initial Ki67 status in HER2-positive breast cancer are predictive of pCR status after HER2-targeted NACT.
The Supervision of Guilty Pleas by the Court of Appeal of England and Wales – Workable Relationships and Tragic Choices
Authors: Nobles Richard , Schiff David 
Published: July 2020

AbstractThe judgments of criminal appeal courts are an example of Calabresi and Bobbitt’s concept of ‘tragic choice’. Judges justify convictions by reference to the values which they attribute to criminal procedures: fairness, truth and rights, rather than the full range of considerations which have influenced the introduction of those procedures: cost, efficiency, crime control, public perceptions of crime, etc. The difficulties facing the Court of Appeal in justifying convictions by juries after a full trial are multiplied in the case of convictions following guilty pleas. A procedure which on its face is less capable of identifying guilt than a trial, has to be defended on the basis that it is overwhelmingly more capable of identifying guilt (or so fair as to justify disregarding the possibility of innocence). Recent changes to the plea system restricting maximum sentence discounts to pleas made at the earliest opportunity further distance guilty pleas from the protections afforded by trial, and compound the difficulties in justifying these convictions as ‘safe’. With guilty pleas we have reached a situation where the Court of Appeal seems unable to provide a remedy for miscarriages, but instead, like the judges of the 19th century opposing the creation of the Criminal Court of Appeal, claims the procedure is so safe that there is little or no need for review, even in cases of procedural irregularity (short of abuse of process) or new evidence (short of exoneration).
Geogenic and anthropogenic interactions at a former Sb mine: environmental impacts of As and Sb
Authors: Mbadugha Lenka , Cowper Duncan , Dossanov Sapar , Paton Graeme I. 
Published: July 2020

AbstractMining activities are acknowledged to introduce contaminants into localised environments and cause wider spread diffuse pollution. The concentration, distribution and fate of arsenic (As) and antimony (Sb) were studied at the former metalliferous Louisa Mine at Glendinning, Scotland. Soils and surface water were sampled and subsequently analysed to map the distribution of contamination and identify pollution sources. The maximum concentrations of As and Sb of 15,490 and 1504.2 mg kg−1, respectively, were determined in soils associated with the ore processing area and spoil heaps. The fractions of dissolved As and Sb in soils were < 1 and < 5% of total soil content, respectively, confirming findings of previous studies that As and Sb are relatively immobile. Yet, the concentrations of As and Sb released by soils exceeded regulatory limits. Concentrations of As and Sb in surface water in the immediate vicinity of the mine were impacted by a gully discharge, but rapidly diluted. While the concentrations affected by the run-off waters did not exceed EU environmental standards for freshwater, the concentrations of both, As and Sb, sharply increased above the said environmental standards approximately 100 m downstream of the mine site. The unaltered As-to-Sb ratio in water samples suggests a geogenic source. While there is a justifiable concern about the soil pollution caused by the historic mining in the area, the Glenshanna Burn is affected more by indigenous geochemical processes than the derelict mine.
Distinct microalgae species for food—part 2: comparative life cycle assessment of microalgae and fish for eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and protein
Authors: Schade S. , Stangl G. I. , Meier T. 
Published: July 2020

AbstractThe production of food for a growing world population is a great challenge. In particular, protein and the long-chain n-3 fatty acids, eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA), which exert a series of potential health effects, are scarce resources in the context of global food security. Fish from wild capture and aquaculture production cannot meet the current demand for EPA and DHA; therefore, a supplementation with alternative sources is crucial. Specific microalgae species have been shown to be a lucrative source of EPA, DHA, and protein, in particular, the oleaginous microalgae Nannochloropsis sp. and Phaeodactylum tricornutum. This study aimed to compare different cultivation scenarios of Nannochloropsis sp. and P. tricornutum with the production of aquaculture and capture fish as traditional sources of EPA and DHA in terms of environmental impacts. Scenarios included borosilicate glass and acrylic glass as photobioreactor (PBR) materials, two different tube diameters, and three different cultivation seasons. In these scenarios, carbon dioxide was modeled as an avoided burden. Additionally, all scenarios were modeled with the burdens resulting from carbon dioxide production. Environmental impacts of selected fish species were obtained from systematic literature research. Life cycle assessment following ISO 14040/44 was used to analyze the global warming potential, acidification, eutrophication, cumulative energy demand, water footprint, and land use. The system boundaries were set from “cradle-to-store,” where the target store is located in Germany. Microalgae biomass as a source of EPA, DHA, and protein was found to have similar or lower environmental impacts than fish fillet from wild capture and aquaculture production when carbon dioxide was modeled as an avoided burden. Microalgae production that included the full burden of carbon dioxide production still caused similar or lower environmental impacts than aquaculture fish. It was found that the distinct microalgae species can significantly influence the results if the comparison is conducted based on nutritional values. Regarding the recommended daily intake of 250–500 mg EPA+DHA, microalgae are an advisable source of nutrients to lessen the environmental pressure on marine ecosystems.
CcpNmr AnalysisScreen, a new software programme with dedicated automated analysis tools for fragment-based drug discovery by NMR
Authors: Mureddu Luca G. , Ragan Timothy J. , Brooksbank Edward J. , Vuister Geerten W. 
Published: July 2020

AbstractFragment-based drug discovery or FBDD is one of the main methods used by industry and academia for identifying drug-like candidates in early stages of drug discovery. NMR has a significant impact at any stage of the drug discovery process, from primary identification of small molecules to the elucidation of binding modes for guiding optimisations. The essence of NMR as an analytical tool, however, requires the processing and analysis of relatively large amounts of single data items, e.g. spectra, which can be daunting when managed manually. One bottleneck in FBDD by NMR is a lack of adequate and well-integrated resources for NMR data analysis that are freely available to the community. Thus, scientists typically resort to manually inspecting large datasets and relying predominantly on subjective interpretations. In this manuscript, we present CcpNmr AnalysisScreen, a software package that provides computational tools for automated analysis of FBDD data by NMR. We outline how the quality of collected spectra can be evaluated quickly, and how robust workflows can be optimised for reliable and rapid hit identification. With an intuitive graphical user interface and powerful algorithms, AnalysisScreen enables easy analysis of the large datasets needed in the early process of drug discovery by NMR.
Fidgeting Behavior During Psychotherapy: Hand Movement Structure Contains Information About Depressive Symptoms
Authors: Reinecke Katharina C. H. , Dvoretska Daniela , Joraschky Peter , Lausberg Hedda 
Published: July 2020

AbstractFidgeting may be a motor sign reflecting self-regulation processes in patients with social anxiety disorder (SAD) and depressive patients. Since SAD co-occurs with comorbid depression, the question arises whether fidgeting is a disorder-unspecific phenomenon or a specific and therefore diagnostically relevant sign of depression. 33 SAD patients with (n = 12) and without (n = 21) depression from the Social Phobia Psychotherapy Research Network project were compared regarding their nonverbal behavior. Four video sequences of a psychotherapy session with each patient were analyzed using a standardized system for the analysis of nonverbal behavior by two independent, certified, blind raters. SAD patients with comorbid depression exhibited significantly more (number/minute) irregular movements, but fewer (number/minute) repetitive movements than SAD patients without depression. Irregular movements, which reflect less structured motor behavior, are associated with comorbid depression in SAD. In contrast, in SAD without depression, more structured repetitive movements were prominent. Thus, irregular movements represent a diagnostically relevant behavior for comorbid depression among SAD patients.
Impacts of a Home Visiting Program Enhanced with Content on Healthy Birth Spacing
Authors: Zief Susan , Deke John , Burkander Paul , Langan Andrew , Asheer Subuhi 
Published: July 2020

Abstract
Objectives
This study sought to determine the impact of Healthy Families Healthy Futures (HFHF) enhanced with Steps to Success (STS). HFHF is a structured home visiting program for teen parents in Houston that focuses on improving parenting skills and preventing child abuse. HFHF enhanced with STS includes content and activities aimed to reduce repeat pregnancies within 24 months after the first child’s birth.

Methods
The study team recruited 248 young mothers for the study, primarily through local health clinics and schools, and then randomly assigned them to either a treatment group that was eligible to participate in HFHF enhanced with STS or to a control group. The control group was not offered any other program through the study. Outcomes were measured by a survey administered 12 months after program intake, in five domains aligned with the program’s logic model: (1) exposure to information related to program content, (2) contraception knowledge, (3) contraception use, (4) enhanced family functioning, and (5) child health and development. To estimate program impacts, we used ordinary least squares regression, controlling for demographics and baseline measures of the outcome variables, if available. We use both frequentist approaches (calculations of statistical significance) and Bayesian posterior probabilities to interpret the findings.

Results
HFHF enhanced with STS significantly (p < .05) impacted exposure to information on parenting and birth control, with effects of 20.8 and 15.4 percentage points, respectively. Using Bayesian posterior probabilities, there is an 85% chance that the program had a favorable effect on these outcomes. We also calculate a probability of 77% that the program had a favorable impact on long-acting reversible contraceptive (LARC) use, but a probability of 89% that the program reduced knowledge of birth control pills; these two results were not statistically significant (p = .17 and .10, respectively).

Conclusions for Practice
These findings are primarily favorable and consistent with the program content and goals. Smaller than anticipated sample sizes due to recruitment challenges increased the chances for random error to affect the ability to detect statistically significant differences on many of our other outcomes; Bayesian posterior probabilities can therefore aid in interpreting the impact estimates. More research of this promising model is warranted.
The Nature of STEM Disciplines in the Science Education Standards Documents from the USA, Korea and Taiwan
Authors: Park Wonyong , Wu Jen-Yi , Erduran Sibel 
Published: July 2020

AbstractUnderstanding the nature of science (NOS) has emerged as a core curricular goal since at least the 1960s. While science education reforms around the world have shed light on various epistemic and social underpinnings of science, how science curriculum documents portray the nature of other related disciplines such as mathematics and engineering has drawn little attention. Such lack of attention is surprising, given the growing interest among educators in the integrated approach to science, technology, engineering and mathematics (STEM) education and the frequent emphasis on STEM in recent curriculum policy. The study reported in this paper aimed to understand how recent science education reform documents from the USA, Korea and Taiwan compare with regard to their representation of the nature of STEM disciplines. Using the framework of the family resemblance approach (FRA), we present a comparative analysis of three recent science education standards documents to examine their coverage of the epistemic underpinnings of STEM disciplines, particularly with regard to the disciplinary aims, values and practices. The results indicate that the features specific to science and shared by science and engineering were most frequently addressed in the standards documents, whereas mathematics-related features were rarely mentioned. Furthermore, there was variation in the coverage in terms of the nature of STEM disciplines. Based on the findings, we discuss the contributions of the FRA framework in analysing STEM curricula in an interdisciplinary manner and make suggestions for integrating the nature of STEM disciplines in science curriculum documents.
eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex
Authors: Stathis Dimitrios , Sudarshan Chirag , Yang Yu , Jung Matthias , Weis Christian , Hemani Ahmed , Lansner Anders , Wehn Norbert 
Published: July 2020

AbstractThe Artificial Neural Networks (ANNs), like CNN/DNN and LSTM, are not biologically plausible. Despite their initial success, they cannot attain the cognitive capabilities enabled by the dynamic hierarchical associative memory systems of biological brains. The biologically plausible spiking brain models, e.g., cortex, basal ganglia, and amygdala, have a greater potential to achieve biological brain like cognitive capabilities. Bayesian Confidence Propagation Neural Network (BCPNN) is a biologically plausible spiking model of the cortex. A human-scale model of BCPNN in real-time requires 162 TFlop/s, 50 TBs of synaptic weight storage to be accessed with a bandwidth of 200 TBs. The spiking bandwidth is relatively modest at 250 GBs/s. A hand-optimized implementation of rodent scale BCPNN has been done on Tesla K80 GPUs require 3 kWs, we extrapolate from that a human scale network will require 3 MWs. These power numbers rule out such implementations for field deployment as cognition engines in embedded systems.The key innovation that this paper reports is that it isfeasibleandaffordableto implement real-time BCPNN as a custom tiled application-specific integrated circuit (ASIC) in 28 nm technology with custom 3D DRAM - eBrainII - that consumes 3 kW for human scale and 12 watts for rodent scale. Such implementations eminently fulfill the demands for field deployment.
Behavior of Aluminum Compounds in Soft-Water Lakes Subjected to Experimental Reclamation with Polyaluminum Chloride
Authors: Łopata Michał , Augustyniak Renata , Grochowska Jolanta , Parszuto Katarzyna , Tandyrak Renata , Wiśniewski Grzegorz 
Published: July 2020

AbstractThe research presented in this work concerns the potential aluminum load of soft-water lake ecosystems as a result of performing chemical reclamation works. On a semitechnical scale, different doses of PAC-type aluminum coagulant (polyaluminum chloride) were tested. The required doses of coagulant (on average, 11 mg Al/L) were determined based on the amount of phosphorus that is bioavailable in the lake ecosystem. The research covered the lake water, near-bottom and interstitial water, and bottom sediments of five lakes with low alkalinity (0.4–2.5 meq/L) and low calcium contents (5–35 mg Ca/L). The experiments were conducted in situ for 2 years using mesocosms with a volume of approximately 20 m3. The effectiveness of the flocculation and sedimentation processes of coagulant flocs was closely related to changes in water pH caused by acidic coagulant application, and the corresponding transformation level ranged from 39.8 to 99.8%. In the waters of these lakes, where the alkalinity did not reach 1 meq/L, the coagulant used in doses adequate for intensive full-scale projects caused high water pollution with dissolved aluminum fractions (from 0.05 ± 0.01 to 4.67 ± 1.32 mg Al/L). In all lakes, the penetration of dissolved aluminum into the interstitial water of the bottom sediment was limited to the first 5-cm layer. After the application of coagulant, the aluminum content in the bottom sediments significantly increased in proportion to the amount of the PAC used (by 12–96% in terms of a 5-cm surface layer of sediment). Within 2 years of the research, solid fractions (flocks) of the coagulant moved to a depth of 5–10 cm below the bottom level. Due to high release rates of aluminum from the applied aluminum treatments, modifications to the treatment protocols are needed in soft-water lakes.
A Collaborative Approach to Meeting the Requirements of the Nationally Consistent Collection of Data: An Action Research Approach
Authors: Birzenieks Linda , Hivers Lisa , Cole Naomi , Smyth Eleisha , Raap Lena Hoffman , Smith Jane , Wood Justin , Roche Sue , Wrigley Andrew , Arthur-Kelly Michael 
Published: July 2020

AbstractThis paper describes a collaborative approach to professional learning that has provided an opportunity for refreshed practices and growth in capacity in schools supporting students with various learning needs in several schools that are part of the Association of Independent Schools in the Australian Capital Territory. An action research approach to professional learning for school staff was facilitated with the participating schools in 2018/2019, centred on the Nationally Consistent Collection of Data on School Students with Disability.