LLukas22/scidocs huggingface dataset:
Physicochemical and organoleptic properties of cookies incorporated with legume flour

This study was to investigate the effects of wheat flour substitution with legume flour (mung bean and chick pea) in cookies in terms of the physicochemical and organoleptic properties. Three formulations of cookies were prepared from (a) Control (100% wheat flour), (b) Mung bean (50% wheat flour + 35% mung bean flour + 15% corn flour) and (c) Chickpea (50% wheat flour + 35% chickpea flour + 15% corn flour). The physicochemical and organoleptic attributes of the three types of cookie were evaluated. Results showed significant different (p<0.05) in terms of ash, protein, crude fibre and total carbohydrate among cookies. Chickpea cookies was significantly (p<0.05) highest in protein and resistant starch content among the three types of cookies. The mung bean cookies was significantly (p<0.05) highest in weight, diameter, height and spread ratio. Textural measurement showed chickpeas cookies was significantly highest (p<0.05) in hardness, crispiness, elasticity, gumminess, and chewiness than the other two types of samples evaluated. For sensory evaluation, chickpeas cookies showed significant high difference in flavor , crispiness and aftertaste attributes but insignificant (p>0.05) different between mungbean cookies in term of overall acceptability. Chickpea cookies had the best flavour , crispiness and acceptability .
A DWT Based Approach for Steganography Using Biometrics

Steganography is the art of hiding the existence of data in another transmission medium to achieve secret communication. It does not replace cryptography but rather boosts the security using its obscurity features. Steganography method used in this paper is based on biometrics. And the biometric feature used to implement steganography is skin tone region of images [1]. Here secret data is embedded within skin region of image that will provide an excellent secure location for data hiding. For this skin tone detection is performed using HSV (Hue, Saturation and Value) color space. Additionally secret data embedding is performed using frequency domain approach - DWT (Discrete Wavelet Transform), DWT outperforms than DCT (Discrete Cosine Transform). Secret data is hidden in one of the high frequency sub-band of DWT by tracing skin pixels in that sub-band. Different steps of data hiding are applied by cropping an image interactively. Cropping results into an enhanced security than hiding data without cropping i.e. in whole image, so cropped region works as a key at decoding side. This study shows that by adopting an object oriented steganography mechanism, in the sense that, we track skin tone objects in image, we get a higher security. And also satisfactory PSNR (Peak-Signal-to-Noise Ratio) is obtained.
Overview of immigrant worker occupational health and safety for the agriculture, forestry, and fishing (AgFF) sector in the southeastern United States.

BACKGROUND
Manual labor in the Agriculture, Forestry, and Fishing (AgFF) Sector is provided primarily by immigrant workers. Limited information is available that documents the demographic characteristics of these manual workers, the occupational illnesses, injuries and fatalities they experience; or the risk factors to which they are exposed.


METHODS
A working conference of experts on occupational health in the AgFF Sector was held to address information limitations. This paper provides an overview of the conference. Other reports address organization of work, health outcomes, healthcare access, and safety policy.


CONTENTS
This report addresses how best to define the population and the AgFF Sector, occupational exposures for the sector, data limitations, characteristics of immigrant workers, reasons for concern for immigrant workers in the AgFF Sector, regulations, a conceptual model for occupational health, and directions for research and intervention.
Safety and efficacy of recombinant human interleukin 10 in chronic active Crohn's disease

*Charité University Hospital, Fourth Medical Department, Humboldt University, Berlin and Christian-Albrechts-University, First Department of Medicine, Kiel, Germany; ‡University of Alberta, Edmonton, Alberta, Canada; §Department of Gastroenterology, Copenhagen University Hospital, Glostrup, Denmark; iMcGill University, Montreal, Quebec, Canada; ¶Dalhousie University, Halifax, Canada; #Northwick Park & St. Marks NHS Trust, Harrow, England; **Cleveland Clinic Foundation, Cleveland, Ohio; ‡‡University Clinic for Internal Medicine IV, Vienna, Austria; §§Department of Gastroenterology, Leuwen University Hospital, Leuwen, Belgium; \\University of North Carolina, Chapel Hill, North Carolina; ¶¶Academic Medish Center, University of Amsterdam, Amsterdam, The Netherlands; ##University Hospital, Utrecht, The Netherlands; ***Schering-Plough Research Institute, Kenilworth, New Jersey; and ‡‡‡Pritzker School of Medicine, University of Chicago, Chicago, Illinois
Accuracy of smartphone apps for heart rate measurement.

Background Smartphone manufacturers offer mobile health monitoring technology to their customers, including apps using the built-in camera for heart rate assessment. This study aimed to test the diagnostic accuracy of such heart rate measuring apps in clinical practice. Methods The feasibility and accuracy of measuring heart rate was tested on four commercially available apps using both iPhone 4 and iPhone 5. 'Instant Heart Rate' (IHR) and 'Heart Fitness' (HF) work with contact photoplethysmography (contact of fingertip to built-in camera), while 'Whats My Heart Rate' (WMH) and 'Cardiio Version' (CAR) work with non-contact photoplethysmography. The measurements were compared to electrocardiogram and pulse oximetry-derived heart rate. Results Heart rate measurement using app-based photoplethysmography was performed on 108 randomly selected patients. The electrocardiogram-derived heart rate correlated well with pulse oximetry ( r = 0.92), IHR ( r = 0.83) and HF ( r = 0.96), but somewhat less with WMH ( r = 0.62) and CAR ( r = 0.60). The accuracy of app-measured heart rate as compared to electrocardiogram, reported as mean absolute error (in bpm ± standard error) was 2 ± 0.35 (pulse oximetry), 4.5 ± 1.1 (IHR), 2 ± 0.5 (HF), 7.1 ± 1.4 (WMH) and 8.1 ± 1.4 (CAR). Conclusions We found substantial performance differences between the four studied heart rate measuring apps. The two contact photoplethysmography-based apps had higher feasibility and better accuracy for heart rate measurement than the two non-contact photoplethysmography-based apps.
Prognostic factors in elderly patients with malignant pleural mesothelioma: results of a multicenter survey

Background:The incidence of malignant pleural mesothelioma (MPM) in elderly patients is increasing. There are no specific guidelines for their management.Methods:The clinical records of elderly patients (⩾70 years old) with MPM referred from January 2005 to November 2011 to six Italian Centres were reviewed. Age, gender, histology, International Mesothelioma Interest Group (IMIG) stage, Eastern Cooperative Oncology Group Performance Status (ECOG-PS), Charlson Comorbidity Index (CCI) and treatment modalities were analysed and correlated to overall survival (OS).Results:In total, 241 patients were identified. Charlson Comorbidity Index was ⩾1 in 92 patients (38%). Treatment was multimodality therapy including surgery in 18, chemotherapy alone in 180 (75%) and best supportive care in 43 cases (18%). Chemotherapy was mainly pemetrexed based. Median OS was 11.4 months. Non-epithelioid histology (HR 2.32; 95% CI 1.66–3.23, P<0.001), age ⩾75 years (HR 1.44; 95% CI 1.08–1.93, P=0.014), advanced (III–IV) stage (HR 1.47; 95% CI 1.09–1.98, P=0.011) and CCI⩾1 (HR 1.38; 95% CI 1.02–1.85, P=0.034) were associated to a shorter OS. Treatment with pemetrexed was associated with improved OS (HR 0.40; 95% CI 0.28–0.56, P<0.001).Conclusions:Non-epithelioid histology, age ⩾75 years, advanced IMIG stage and presence of comorbidities according to CCI were significant prognostic factors in elderly patients with MPM. Treatment with pemetrexed-based chemotherapy was feasible in this setting. Prospective dedicated trials in MPM elderly patients selected according to prognostic factors including comorbidity scales are warranted.
An Effective Round Robin Algorithm using Min-Max Dispersion Measure

Round Robin (RR) scheduling algorithm is a preemptive scheduling algorithm. It is designed especially for time sharing Operating System (OS). In RR scheduling algorithm the CPU switches between the processes when the static Time Quantum (TQ) expires. RR scheduling algorithm is considered as the most widely used scheduling algorithm in research because the TQ is equally shared among the processes. In this paper a newly proposed variant of RR algorithm called Min-Max Round Robin (MMRR) scheduling algorithm is presented. The idea of this MMRR is to make the TQ repeatedly adjusted using Min-Max dispersion measure in accordance with remaining CPU burst time. Our experimental analysis shows that MMRR performs much better than RR algorithm in terms of average turnaround time, average waiting time and number of context switches. Keywords-Operating System, Round Robin, Min-Max Round Robin, Turnaround time, Waiting time, Context switch.
Antenatal HIV testing: assessment of a routine voluntary approach.

The authors thank Jeni Beecham, Margaret Brandeau, Miranda Mugford, Marie-Louise Newell, Angus Nicoll, Tony Oliver, Doug Owens, and Richard Smith, as well as our referees for their invaluable assistance at various stages of the study. Contributors: MJP and EJB conceived the idea for the project. MJP developed the cost effectiveness model in conjunction with EJB, SM, LS, MDSW, HH, and JCJ. EJB and SM provided the cost data that were used in the model. LS provided particular input on the social context. MDSW provided specific input on the clinical context relevant to the analyses as well as providing clinical care to many of the children who participated in the original study. MJP and EJB were primarily responsible for writing the paper; the paper was written in conjunction with SM, LS, MDSW, HH, and JCJ. MJP and EJB are guarantors of the study. Funding: European Union Concerted Action on Multinational AIDS Scenarios (contract No BMH1-CT94-1723). Competing interests: None declared.
Completions of Ordered Algebraic Structures: A Survey

Ordered algebraic structures are encountered in many areas of mathematics. One frequently wishes to embed a given ordered algebraic structure into a complete ordered algebraic structure in a manner that preserves some aspects of the algebraic and order theoretic properties of the original. It is the purpose here to survey some recent results in this area.
Effects of Lectures with PowerPoint or Prezi Presentations on Cognitive Load , Recall , and Conceptual Learning

Article History: Received 17.02.2016 Received in revised form 12.07.2016 Accepted 07.08.2016 Available online Tarih girmek için burayı tıklatın. The purpose of this study is to investigate and compare the effects of two types of presentations as created by PowerPoint or Prezi, which are used during lectures at the higher education level, on the students' cognitive load, the level of recall of the learning and conceptual learning. Presentations prepared by PowerPoint have linear slides with a limited canvas, while Prezi allows for non-linear, multiple paths and unlimited canvas design. This study is of a quasi-experimental design. The participants were 50 university students enrolled in a Computer Programming program at a vocational school. Data were collected using the Cognitive Load Scale, achievement tests and concept maps. According to the results, students lectured by presentations created by Prezi had more conceptual learning and less cognitive load whilst teaching computer network systems’ content. Recall the level of learning was measured by an achievement test which did not significantly differ across the groups. Prezi may be a better alternative for more conceptual learning and to reduce the cognitive load. © 2016 IOJES. All rights reserved
Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations

I. Introduction, 323.—II. Formulation, 325.—III. An example, 326.—IV. Consistent price schemes, 328.—V. Back to the example, 332.—VI. Relaxing the assumptions, 333.—VII. Concluding remarks, 334.
Energy efficient cluster head selection algorithm in mobile wireless sensor networks

In Wireless sensor networks, existing energy efficient routing algorithms assumed that the sensor nodes are stationary. Some of the applications in WSN must combine with both mobile sensor nodes and fixed sensor nodes in the same networks. When mobility is functioned there should be performance degradation. Because these nodes are equipped with a lesser amount of memory, restricted battery power, little computation capability, and small range of communication. So there is a need for energy efficient routing protocol to forward the incoming packet. In this paper, we propose Energy Efficient Cluster Head Selection Protocol in Mobile Wireless Sensor Network (EECHS-MWSN). The cluster-head nodes are selected from the residual energy, lowest mobility factor and density of the node. It is also used that the Gateway nodes are act as an intermediate node to transfer the data to the Base station. Simulation results show that the EECHS-MWSN protocol has more Energy consumption, network lifetime and throughput than the existing LEACH-Mobile protocol.
Mobile Robot Position Determination Using Data Integration of Odometry and Gyroscope

The objective is to accurately determine mobile robots position and orientation by integrating information received from odometry and an inertial sensor. The position and orientation provided by odometry are subject to different types of errors. To improve the odometry, a fiber optic gyroscope is used to give the orientation information that is more reliable. The information from odometry and gyroscope are integrated using unscented Kalman filter (UKF). The position and orientation determined based on the UKF are compared with the results obtained from the commonly used extended Kalman filter (EKF).
State-of-the-Art and Open Challenges in RTS Game-AI and Starcraft

This paper presents a review of artificial intelligence for different approaches used in real-time strategy games. Real-time strategy (RTS) based games are quick combat games in which the objective is to dominate and destroy the opposing enemy such as Rome-total war, Starcraft, the age of empires, and command & conquer, etc. In such games, each player needs to utilize resources efficiently, which includes managing different types of soldiers, units, equipment’s, economic status, positions and the uncertainty during the combat in real time. Now the best human players face difficulty in defeating the best RTS games due to the recent success and advancement of deep mind technologies. In this paper, we explain state-of-the-art and challenges in artificial intelligence (AI) for RTS games and Starcraft, describing problems and issues carried out by RTS based games with some solutions that are addressed to them. Finally, we conclude by emphasizing on game ‘CIG & AIIDE’ competitions along with open research problems and questions in the context of RTS Game-AI, where some of the problems and challenges are mostly considered improved and solved but yet some are open for further research. Keywords—Real Time Strategy (RTS); Game-AI; Starcraft; MMOG; AIIDE; CIG; MOBA
Citalopram for the Treatment of Agitation in Alzheimer Dementia: Genetic Influences.

OBJECTIVE
To assess potential genetic influences on citalopram treatment efficacy for agitation in individuals with Alzheimer dementia (AD). Six functional genetic variants were studied in the following genes: serotonin receptor 2A (HTR2A-T102C), serotonin receptor 2C (HTR2C-Cys23Ser), serotonin transporter (5HTT-LPR), brain-derived neurotropic factor (BDNF-Val66Met), apolipoprotein E (ε2, ε3, ε4 variants), and cytochrome P450 (CYP2C19). Treatment response by genotype was measured by (1) the agitation domain of the Neurobehavioral Rating Scale, (2) the modified Alzheimer Disease Cooperative Study-Clinical Global Impression of Change scale (mADCS-CGIC), (3) the agitation domain of the Neuropsychiatric Inventory (NPI), and (4) the Cohen-Mansfield Agitation Inventory.


METHOD
We utilized data from the Citalopram for Agitation in Alzheimer's Disease (CitAD) database. CitAD was a 9-week randomized, double-blind, placebo-controlled multicenter clinical trial showing significant improvement in agitation and caregiver distress in patients treated with citalopram. Proportional odds logistic regression and mixed effects models were used to examine the above-mentioned outcome measures.


RESULTS
Significant interactions were noted on the NPI agitation domain for HTR2A (likelihood ratio [LR] = 6.19, df = 2, P = .04) and the mADCS-CGIC for HTR2C (LR = 4.33, df = 2, P = .02) over 9 weeks.


DISCUSSION
Treatment outcomes in CitAD showed modest, although statistically significant, influence of genetic variation at HTR2A and HTR2C loci. Future studies should continue to examine the interaction of known genetic variants with antidepressant treatment in patients with AD having agitation.
Buyer – supplier collaborative relationships : Beyond the normative accounts Journal Item

This paper presents a critique of the normative, buyer-supplier literature and in addition suggests that the more empirically-based literature needs to expand its scope of attention beyond its traditional confines of attention. Four main deficiencies are identified within much of the existing buyer-supplier literature. Firstly, collaborative buyer-supplier theories fail to discriminate sufficiently between individual and firmlevel buyer-supplier decision-making. Secondly, the stage models of relationship development are challenged. Thirdly, the interdependencies between buyer-supplier relations and other, competing organizational priorities are highlighted. Fourthly, we question the monolithic constructs of organizational ‘commitment’ and ‘trust’ underpinning much existing relationship-marketing literature. Examples are presented of collaborative buyer-supplier practice drawn from multisector case study research of customer-responsive supply chains. We argue that, even in exemplary circumstances, collaborative relationship practices are susceptible to failure due to wider organizational and behavioural issues.
Forecasting methods and principles: Evidence-based checklists

Problem: How to help practitioners, academics, and decision makers use experimental research findings to substantially reduce forecast errors for all types of forecasting problems. Methods: Findings from our review of forecasting experiments were used to identify methods and principles that lead to accurate forecasts. Cited authors were contacted to verify that summaries of their research were correct. Checklists to help forecasters and their clients practice and commission studies that adhere to principles and use valid methods were developed. Leading researchers were asked to identify errors of omission or commission in the analyses and summaries of research findings. Findings: Forecast accuracy can be improved by using one of 15 relatively simple evidence-based forecasting methods. One of those methods, knowledge models, provides substantial improvements in accuracy when causal knowledge is good. On the other hand, data models—developed using multiple regression, data mining, neural nets, and “big data analytics”—are unsuited for forecasting. Originality: Three new checklists for choosing validated methods, developing knowledge models, and assessing uncertainty are presented. A fourth checklist, based on the Golden Rule of Forecasting, was improved. Usefulness: Combining forecasts within individual methods and across different methods can reduce forecast errors by as much as 50%. Forecasts errors from currently used methods can be reduced by increasing their compliance with the principles of conservatism (Golden Rule of Forecasting) and simplicity (Occam’s Razor). Clients and other interested parties can use the checklists to determine whether forecasts were derived using evidence-based procedures and can, therefore, be trusted for making decisions. Scientists can use the checklists to devise tests of the predictive validity of their findings.
An Introduction to Language Processing with Perl and Prolog: An Outline of Theories, Implementation, and Application with Special Consideration of English, French, and German

This comprehensive NLP textbook is strongly algorithm-oriented and designed for talented computer programmers who might or might not be linguists. The book occupies a market niche in between that of Jurafsky and Martin (2008) and my own humble effort (Covington 1994); it resembles the latter in approach and the former in scope. Perhaps more than either of those, Nugues’s book is also useful to working professionals as a handbook of techniques and algorithms. Everything is here—everything, that is, except speech synthesis and recognition; phonetics receives only a four-page summary. Those wanting to start an NLP course by covering phonetics in some depth should consider Coleman (2005) as well as Jurafsky and Martin (2008). After a brief overview, Nugues covers corpus linguistics, markup languages, text statistics, morphology, part-of-speech tagging (two ways), parsing (several ways), semantics, and discourse. “Neat” and “scruffy” approaches are deftly interleaved and compared. Unification-based grammar, event semantics, and tools such as WordNet and the Penn Treebank are covered in some detail. The syntax section includes dependency grammar and even the very recent work of Nivre (2006), as well as partial parsing and statistical approaches. Many important algorithms are presented ready to run, or nearly so, as Prolog or Perl code. If, for example, you want to build a Cocke–Kasami–Younger parser, this is the place to look for directions. Explanations are lucid and to-the-point. Here is an example. Nugues is discussing the fact that, if you sample a corpus for n-grams, some will not occur in your sample at all, but it would be a mistake to consider the unseen ones to be infinitely rare (frequency 0). Thus the counts need to be adjusted:
The efficacy of rebamipide add-on therapy in arthritic patients with COX-2 selective inhibitor-related gastrointestinal events: a prospective, randomized, open-label blinded-endpoint pilot study by the GLORIA study group.

OBJECTIVE
We aimed to confirm the effect of combined treatment with celecoxib and rebamipide would be more effective than celecoxib alone for prevention of upper gastrointestinal (GI) events.


METHODS
Patients with rheumatoid arthritis, osteoarthritis, and low back pain were enrolled in this study. Patients were randomized to two groups: a monotherapy group (100 mg celecoxib twice daily) and a combination therapy group (add on 100 mg of rebamipide three times a day). The GI mucosal injury was evaluated by endoscopic examination before treatment and at 3 months. The primary endpoint was to evaluate the preventive effect of the combination therapy group for GI events, endoscopic upper GI ulcers and intolerable GI symptoms, compared with the monotherapy group.


RESULTS
Seventy-five patients were enrolled. Sixty-five patients were analyzed (16 males, 49 females; mean age: 67 ± 13 years). The prevalence of upper GI events, five of endoscopic GI ulcers and one of intolerable GI symptoms, were 6/34 (17.6%) in the monotherapy group and 0/31 in the combination therapy group, p = 0.0252.


CONCLUSIONS
The combination therapy group was more effective than the monotherapy group for prevention of upper GI events in this study. Rebamipide might be a candidate for an option to prevent COX-2 selective inhibitor-induced upper GI events.