LLukas22/scidocs huggingface dataset:
An EOQ model for deteriorating items under trade credits

In the classical inventory economic order quantity (or EOQ) model, it was assumed that the supplier is paid for the items immediately after the items are received. However, in practices, the supplier may simultaneously offer the customer: (1) a permissible delay in payments to attract new customers and increase sales, and (2) a cash discount to motivate faster payment and reduce credit expenses. In this paper, we provide the optimal policy for the customer to obtain its minimum cost when the supplier offers not only a permissible delay but also a cash discount. We first establish a proper model, and then characterize the optimal solution and provide an easy-to-use algorithm to find the optimal order quantity and replenishment time. Furthermore, we also compare the optimal order quantity under supplier credits to the classical economic order quantity. Finally, several numerical examples are given to illustrate the theoretical results. Journal of the Operational Research Society (2005) 56, 719–726. doi:10.1057/palgrave.jors.2601881 Published online 1 December 2004
Notes on Firing Theory

Abstract : These notes are intended to be tutorial in nature, rather than comprehensive. The reader who desires a comprehensive treatment should see 1, which contains additional references to the considerable literature that exists on "coverage problems." It seems to be the nature of the subject that there are a great many conceptually similar cases and sub-cases, each requiring a different mathematical treatment. Our goal here is to describe and summarize the main ideas, recording in the process only those results for which simple expressions are available. The material in the first three sections of these notes is devoted to computations of the probability of "killing" a target with possibly several "weapons", with the effectiveness of each weapon depending on a two-dimensional miss distance. The same mathematics applies to computations of such things as the probability of "detecting" a target with "sensors"; the only essential feature is that the crucial event must either happen or not. Partial damage is not permitted - each shot either kills the target or leaves it unscathed. This assumption is often not realistic, but it nonetheless must serve because practically all analysis is based on it.
Willingness to initiate insulin among adults with type 2 diabetes in Australian primary care: Results from the Stepping Up Study.

AIMS
To determine 'hypothetical willingness' to initiate insulin, and identify associated factors, among adults with type 2 diabetes (T2DM) in primary care for whom insulin is clinically indicated.


METHODS
Eligible participants were adults with T2DM with an HbA1c ≥7.5% (58mmol/mol) and prescribed maximum oral hypoglycaemic agents. A total of 261 participants were recruited from 74 Victorian general practices: mean age 62±10 years; 39% (n=103) women; diabetes duration 10±6 years; HbA1c 9.0±1.3% (75±14mmol/mol). Data collected by the Stepping Up Study: demographic and clinical characteristics, 'willingness' to initiate insulin, insulin appraisals, depressive symptoms, and diabetes-related distress. A multinomial regression investigated predictors of 'willingness'.


RESULTS
Nineteen percent (n=50) were 'very willing' to initiate insulin, if recommended. The final regression model (R(2)=.44, χ(2)(12) 145.91, p<.001) demonstrated higher socioeconomic status and less negative attitudes to insulin were associated with increased willingness to initiate insulin.


CONCLUSIONS
Among adults with T2DM for whom insulin is clinically indicated, only one in five are 'very willing' to begin insulin therapy. Independent of demographics, clinical factors and emotional wellbeing, insulin appraisals were associated with 'willingness'. This study highlights the importance of addressing attitudinal barriers to insulin therapy among adults with T2DM in primary care to improve insulin receptiveness.
l(+)-Lactic acid production from non-food carbohydrates by thermotolerant Bacillus coagulans

Lactic acid is used as an additive in foods, pharmaceuticals, and cosmetics, and is also an industrial chemical. Optically pure lactic acid is increasingly used as a renewable bio-based product to replace petroleum-based plastics. However, current production of lactic acid depends on carbohydrate feedstocks that have alternate uses as foods. The use of non-food feedstocks by current commercial biocatalysts is limited by inefficient pathways for pentose utilization. B. coagulans strain 36D1 is a thermotolerant bacterium that can grow and efficiently ferment pentoses using the pentose-phosphate pathway and all other sugar constituents of lignocellulosic biomass at 50°C and pH 5.0, conditions that also favor simultaneous enzymatic saccharification and fermentation (SSF) of cellulose. Using this bacterial biocatalyst, high levels (150–180 g l−1) of lactic acid were produced from xylose and glucose with minimal by-products in mineral salts medium. In a fed-batch SSF of crystalline cellulose with fungal enzymes and B. coagulans, lactic acid titer was 80 g l−1 and the yield was close to 80%. These results demonstrate that B. coagulans can effectively ferment non-food carbohydrates from lignocellulose to l(+)-lactic acid at sufficient concentrations for commercial application. The high temperature fermentation of pentoses and hexoses to lactic acid by B. coagulans has these additional advantages: reduction in cellulase loading in SSF of cellulose with a decrease in enzyme cost in the process and a reduction in contamination of large-scale fermentations.
An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives

Regression problems provide some of the most challenging research opportunities in the area of machine learning, and more broadly intelligent systems, where the predictions of some target variables are critical to a specific application. Rainfall is a prime example, as it exhibits unique characteristics of high volatility and chaotic patterns that do not exist in other time series data. This work’s main impact is to show the benefit machine learning algorithms, and more broadly intelligent systems have over the current state-of-the-art techniques for rainfall prediction within rainfall derivatives. We apply and compare the predictive performance of the current state-of-the-art (Markov chain extended with rainfall prediction) and six other popular machine learning algorithms, namely: Genetic Programming, Support Vector Regression, Radial Basis Neural Networks, M5 Rules, M5 Model trees, and k-Nearest Neighbours. To assist in the extensive evaluation, we run tests using the rainfall time series across data sets for 42 cities, with very diverse climatic features. This thorough examination shows that the machine learning methods are able to outperform the current state-of-the-art. Another contribution of this work is to detect correlations between different climates and predictive accuracy. Thus, these results show the positive effect that machine learning-based intelligent systems have for predicting rainfall based on predictive accuracy and with minimal correlations existing across climates.
A comparison of the performance of children with and without autism on the Sensory Profile.

OBJECTIVE
The purpose of this study was to determine whether the Sensory Profile discriminates between children with and without autism and which items on the profile best discriminate between these groups.


METHOD
Parents of 32 children with autism aged 3 to 13 years and of 64 children without autism aged 3 to 10 years completed the Sensory Profile. A descriptive analysis of the data set of children with autism identified the distribution of responses on each item. A multivariate analysis of covariance (MANCOVA) of each category of the Sensory Profile identified possible differences among subjects without autism, with mild or moderate autism, and with severe autism. Follow-up univariate analyses were conducted for any category that yielded a significant result on the MANCOVA:


RESULTS
Eight-four of 99 items (85%) on the Sensory Profile differentiated the sensory processing skills of subjects with autism from those without autism. There were no group differences between subjects with mild or moderate autism and subjects with severe autism.


CONCLUSION
The Sensory Profile can provide information about the sensory processing skills of children with autism to assist occupational therapists in assessing and planning intervention for these children.
Application of multi-criteria decision making to sustainable energy planning — A review

Multi-Criteria Decision Making (MCDM) techniques are gaining popularity in sustainable energy management. The techniques provide solutions to the problems involving conflicting and multiple objectives. Several methods based on weighted averages, priority setting, outranking, fuzzy principles and their combinations are employed for energy planning decisions. A review of more than 90 published papers is presented here to analyze the applicability of various methods discussed. A classification on application areas and the year of application is presented to highlight the trends. It is observed that Analytical Hierarchy Process is the most popular technique followed by outranking techniques PROMETHEE and ELECTRE. Validation of results with multiple methods, development of interactive decision support systems and application of fuzzy methods to tackle uncertainties in the data is observed in the published literature. # 2004 Elsevier Ltd. All rights reserved.
Safety profile of biological intravenous therapy in a rheumatoid arthritis patients cohort. Clinical nursing monitoring (Sebiol study).

INTRODUCTION
The Biologics used in the management of rheumatoid arthritis (RA) in recent years, have comprehensively permitted to understand its security, as shown in registries such as BIOBADASER. The present manuscript represents an observational cohort study to describe the safety perinfusional profile of those intravenous treatments.


OBJECTIVES
To confirm the safety profile of biological therapies in routine clinical practice, after the administration of intravenous drugs and 24 hours post-administration.


MATERIAL AND METHODS
We evaluated a cross-sectional cohort of 114 patients with RA (according to the American College of Rheumatology ACR criteria), attending within one month in 2009 the nursing clinics of day care hospital of 12 Catalonian hospitals. All patients were treated with intravenous biological agents. We recorded the age, sex, current and previous drug treatments, we also collected data about previous vaccination and premedication received and any adverse event occurring at the time of drug administration or within 24 hours. If an adverse event occurred, was categorized by MedDRAv11.0 International Dictionary, and categorized in terms of intensity (mild, moderate, severe), relationship to drug administration according to Karch and Lasagna algorithm (unrelated, unlikely, possible, probable, definite) and the further measures taken.


RESULTS
111 patients met the inclusion criteria, with a mean age of 56.06 years (SD: 12.12), 90 of them women (81.1%) and mean time since diagnosis of the disease of 11.97 years (SD: 7.95). 24 patients (21.6%) had a history of allergy. 12 adverse events were observed in 7 patients, 9 of which at the time of administration and 3 in 24 hours after. There were no serious adverse events and only one of the adverse events (AEs) was rated as moderate (urticaria). The remaining AA were mild.
Penthrox alone versus Penthrox plus periprostatic infiltration of local analgesia for analgesia in transrectal ultrasound-guided prostate biopsy.

BACKGROUND
The objective of this study was to compare pain intensity in patients undergoing transrectal ultrasound (TRUS)-guided biopsy of the prostate with Penthrox alone compared with Penthrox plus periprostatic infiltration of local analgesia (PILA).


METHOD
Seventy-two subjects participated in this study after receiving appropriate education. Forty-two patients self-administered inhaled Penthrox (3 mL methoxyflurane) alone for analgesia (Group A), followed by 30 patients who self-administered Penthrox and received PILA with 5 mL of 2% lignocaine. All subjects had TRUS biopsy performed. Immediately after the procedure, patients were asked to rate their pain intensity using a numerical verbal rating scale from 0 to 10.


RESULTS
Baseline characteristics of the two groups were similar. Patients in Group B reported significantly lower post TRUS biopsy median pain intensity of 2 (1-3) compared with Group A subjects who reported a median post TRUS biopsy pain intensity of 3 (2-5) (P = 0.014). A total of 72 men underwent TRUS-guided biopsy. All patients indicated they would be happy to have another TRUS-guided prostate biopsy in the future.


CONCLUSION
Our study shows that Penthrox plus PILA shows promise as an efficacious and easily tolerated analgesic technique for outpatient TRUS biopsy, keeping resource use to a minimum. Planning for a multi-centre, double-blind randomized control trial comparing Penthrox plus PILA with PILA alone is presently underway.
Distributed optimization of deeply nested systems

Intelligent processing of complex signals such as images is often performed by a hierarchy of nonlinear processing layers, such as a deep net or an object recognition cascade. Joint estimation of the parameters of all the layers is a difficult nonconvex optimization. We describe a general strategy to learn the parameters and, to some extent, the architecture of nested systems, which we call themethod of auxiliary coordinates (MAC) . This replaces the original problem involving a deeply nested function with a constrained problem involving a different function in an augmented space without nesting. The constrained problem may be solved with penalty-based methods using alternating optimization over the parameters and the auxiliary coordinates. MAC has provable convergence, is easy to implement reusing existing algorithms for single layers, can be parallelized trivially and massively, applies even when parameter derivatives are not available or not desirable, can perform some model selection on the fly, and is competitive with stateof-the-art nonlinear optimizers even in the serial computation setting, often providing reasonable models within a few iterations. The continued increase in recent years in data availability and processing power has enabled the development and practical applicability of ever more powerful models in sta tistical machine learning, for example to recognize faces o r speech, or to translate natural language. However, physical limitations in serial computation suggest that scalabl e processing will require algorithms that can be massively parallelized, so they can profit from the thousands of inexpensive processors available in cloud computing. We focus on hierarchical, or nested, processing architectures. As a particular but important example, consider deep neuAppearing in Proceedings of the 17 International Conference on Artificial Intelligence and Statistics (AISTATS) 2014, Reykjavik, Iceland. JMLR: W&CP volume 33. Copyright 2014 by the authors. ral nets (fig. 1), which were originally inspired by biological systems such as the visual and auditory cortex in the mammalian brain (Serre et al., 2007), and which have been proven very successful at learning sophisticated task s, such as recognizing faces or speech, when trained on data.
Mechanisms of association between physical functioning and breast cancer mortality: evidence from the Women's Healthy Eating and Living Study.

PURPOSE
Low physical functioning among breast cancer survivors appears to reduce survival, although the mechanisms underlying these associations are not clear. We examined inflammation as a possible biological mediator of association between low physical functioning and mortality after breast cancer.


METHODS
Analysis included 2,892 participants from the Women's Healthy Eating and Living Study. All measures were collected at study baseline. Physical function was assessed by the Short Form 36 (SF-36) Health Survey Physical Function subscale. Low physical function was defined as the bottom tertile of the subscale score. Inflammation was measured as serum concentration of C-reactive protein (CRP). Cox proportional hazards modeled the associations of low physical function and the putative mediator (i.e., CRP) with all-cause and breast cancer-specific mortality.


RESULTS
There were 293 deaths during study follow up, with 243 due to breast cancer. Low physical functioning was associated with a 50 % higher risk of all-cause mortality (HR, 1.49; 95 % CI, 1.2-1.9) and a 40 % higher risk of breast cancer-specific mortality (HR, 1.39; 95 % CI, 1.1-1.8), after adjustment for covariates. The addition of CRP did not markedly change the all-cause mortality hazard ratio attributed to low physical functioning. However, the addition of CRP modestly attenuated the breast cancer-specific mortality hazard ratio such that it was no longer statistically significant.


CONCLUSIONS
Interventions to improve physical functioning may prevent early morbidity and mortality among breast cancer survivors.


IMPLICATIONS FOR CANCER SURVIVORS
Functional status measure may be a valuable indicator of long-term health outcomes among breast cancer survivors.
Home-based exercise therapy in patients with ankylosing spondylitis: effects on pain, mobility, disease activity, quality of life, and respiratory functions

The home-based exercise therapy recommended to the patients with ankylosing spondylitis (AS) is a simply applicable and cheap method. The aim of this study was to investigate the effects of home-based exercise therapy on pain, mobility, function, disease activity, quality of life, and respiratory functions in patients with AS. Eighty patients diagnosed with AS according to the modified New York criteria were included in the study. Home-based exercise program including range of motion, stretching, strengthening, posture, and respiratory exercises was practically demonstrated by a physiotherapist. A training and exercise manual booklet was given to all patients. Patients following home-based exercise program five times a week at least 30 min per session (exercise group) for 3 months were compared with those exercising less than five times a week (control group). Visual analog scale pain (VASp) values at baseline were significantly higher in the exercise group. The exercise group showed improvements in VASp, tragus–wall distance, morning stiffness, finger–floor distance, modified Schober's test, chest expansion, the Bath Ankylosing Spondylitis Disease Activity Index, the Bath Ankylosing Spondylitis Functional Index, Ankylosing Spondylitis Quality of Life Questionnaire (ASQoL), forced expiratory volume in first second, and forced vital capacity at third month. There was significant difference in ASQoL scores between the two groups in favor of the exercise group at third month. Regular home-based exercise therapy should be a part of main therapy in patients with AS. Physicians should recommend that patients with AS do exercise at least five times a week at least 30 min per session.
Bayesian belief network models for species assessments: An example with the Pacific walrus

In 2008, the U.S. Fish and Wildlife Service was petitioned to list the Pacific walrus (Odobenus rosmarus divergens) under the U.S. Endangered Species Act (ESA). Research into stressors that may be negatively affecting walruses is incomplete.We developed a Bayesian belief network model structured around the ESA 5-factor analysis during a workshop attended by walrus and ESA experts to 1) elicit expert opinion on important stressors and their effects, 2) develop the model, and 3) develop and analyze plausible future scenarios. The listing factors and associated stressors were organized as sub-models, capturing the cumulative effects of the factors through model output, which was the probability of negative, neutral, or positive effects. We found that in a time-constrained workshop, the graphical display of Bayesian belief networks allowed for rapid development, assessment, and revision of model structure and parameters. We modeled up to 3 scenarios (most likely-, worst-, and best-case) for each of 4 time periods (recent past, contemporary, mid-century, and late-century). Model output for the recent past (reference condition) was consistent with observations and provided a baseline for comparison of the outcomes of other periods and scenarios; stressor effects became increasingly negative with time. However, scenario analyses indicated that mitigation of relatively few stressors could reduce the cumulative effects of the listing factors. Uncertainty in model output was lowest for the past but differed by only 7% among the other time periods. We used 4 types of sensitivity analyses to identify explanatory variables that had the greatest influence on model outcomes. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.
Depression is correlated with the psychological and physical aspects of sexual dysfunction in men

Few studies have objectively examined the relationship between depression and various stages of sexual function. Here we associate depression and sexual function using validated questionnaires. A retrospective review of 186 men was performed; demographics and serum hormone levels were obtained. Responses to questionnaires evaluating depressive symptoms (Patient Health Questionnaire (PHQ-9)), sexual function (International Index of Erectile Function (IIEF)) and hypogonadal symptoms (quantitative Androgen Decline in the Aging Male (qADAM)) completed by each patient were correlated using Spearman’s rank correlation. Mean±s.d. subject age: 52.6±12.7 years; mean serum hormone levels: TT 429.8±239.2 ng dl−1, free testosterone 9.72±7.5 pg ml−1 and estradiol 34.4±22.8 pg ml−1. Negative correlations were observed between total PHQ-9 score and the sexual desire (ρ=−0.210, P=0.006), intercourse satisfaction (ρ=−0.293, P<0.0001) and overall satisfaction (ρ=−0.413, P<0.0001) domains of the IIEF and individual IIEF questions pertaining to erectile function. Men with a PHQ-9 score ⩾10 (mild depression or worse), had lower sexual desire and sex life satisfaction. A negative correlation between PHQ-9 score and qADAM score (ρ=−0.634, P<0.0001) was observed and men with higher PHQ-9 score had lower qADAM scores. Depressive symptoms in men correlate with both psychological as well as physical aspects of sexual function.