LLukas22/scidocs huggingface dataset:
Bitlist: New Full-text Index for Low Space Cost and Efficient Keyword Search

Nowadays Web search engines are experiencing significant performance challenges caused by a huge amount of Web pages and increasingly larger number of Web users. The key issue for addressing these challenges is to design a compact structure which can index Web documents with low space and meanwhile process keyword search very fast. Unfortunately, the current solutions typically separate the space optimization from the search improvement. As a result, such solutions either save space yet with search inefficiency, or allow fast keyword search but with huge space requirement. In this paper, to address the challenges, we propose a novel structure bitlist with both low space requirement and supporting fast keyword search. Specifically, based on a simple and yet very efficient encoding scheme, bitlist uses a single number to encode a set of integer document IDs for low space, and adopts fast bitwise operations for very efficient boolean-based keyword search. Our extensive experimental results on real and synthetic data sets verify that bitlist outperforms the recent proposed solution, inverted list compression [23, 22] by spending 36.71% less space and 61.91% faster processing time, and achieves comparable running time as [8] but with significantly lower space.
An evaluation of the robustness of existing supervised machine learning approaches to the classification of emotions in speech

In this study, the robustness of approaches to the automatic classification of emotions in speech is addressed. Among the many types of emotions that exist, two groups of emotions are considered, adult-to-adult acted vocal expressions of common types of emotions like happiness, sadness, and anger and adult-to-infant vocal expressions of affective intents also known as ‘‘motherese’’. Specifically, we estimate the generalization capability of two feature extraction approaches, the approach developed for Sony’s robotic dog AIBO (AIBO) and the segment-based approach (SBA) of [Shami, M., Kamel, M., 2005. Segment-based approach to the recognition of emotions in speech. In: IEEE Conf. on Multimedia and Expo (ICME05), Amsterdam, The Netherlands]. Three machine learning approaches are considered, K-nearest neighbors (KNN), Support vector machines (SVM) and Ada-boosted decision trees and four emotional speech databases are employed, Kismet, BabyEars, Danish, and Berlin databases. Single corpus experiments show that the considered feature extraction approaches AIBO and SBA are competitive on the four databases considered and that their performance is comparable with previously published results on the same databases. The best choice of machine learning algorithm seems to depend on the feature extraction approach considered. Multi-corpus experiments are performed with the Kismet–BabyEars and the Danish–Berlin database pairs that contain parallel emotional classes. Automatic clustering of the emotional classes in the database pairs shows that the patterns behind the emotions in the Kismet–BabyEars pair are less database dependent than the patterns in the Danish–Berlin pair. In off-corpus testing the classifier is trained on one database of a pair and tested on the other. This provides little improvement over baseline classification. In integrated corpus testing, however, the classifier is machine learned on the merged databases and this gives promisingly robust classification results, which suggest that emotional corpora with parallel emotion classes recorded under different conditions can be used to construct a single classifier capable of distinguishing the emotions in the merged corpora. Such a classifier is more robust than a classifier learned on a single corpus as it can recognize more varied expressions of the same emotional classes. These findings suggest that the existing approaches for the classification of emotions in speech are efficient enough to handle larger amounts of training data without any reduction in classification accuracy. 2007 Elsevier B.V. All rights reserved.
Effects of Supplementation of Various Medium Components on Chinese Hamster Ovary Cell Cultures Producing Recombinant Antibody

Thirteen vitamins, twenty amino acids, hormones, inorganic salts, and other chemical agents, which constitute typical serum-free media, were evaluated for the development of fortified medium to enhance cell growth and productivity of recombinant antibody in the cultures of the recombinant Chinese hamster ovary (rCHO) cells. Two different rCHO cell lines, rCHO-A producing recombinant antibodies against the human platelet and rCHO-B secreting recombinant antibodies against the S surface antigen of Hepatitis B, respectively, were cultivated in batch suspension mode. Concentration of interested component in the tested medium was doubled to examine the fortification effect. Growth of rCHO-A cell and its antibody production were slightly improved with addition of either choline chloride, folic acid, thiamine⋅HCl, or LongTMR3IGF-I. On the other hand, in the cultivation of rCHO-B cell which was more sensitive to its environmental changes, hormones such as LongTMR3IGF-I and triiodothyronine (T3) as well as various vitamins involving choline chloride, i-inositol, niacinamide, pyridoxine HCl, and thiamine⋅HCl enhanced the cell growth and antibody production. Particularly, when concentration of consuming amino acid was doubled, remarkable increase in specific productivity was served, resulting in high final antibody concentration. These results were believed to provide a fundamental strategy of medium fortification useful for improvement of recombinant antibody production in serum-free medium.
The defense substance allicin from garlic permeabilizes membranes of Beta vulgaris, Rhoeo discolor, Chara corallina and artificial lipid bilayers.

BACKGROUND
Allicin (diallylthiosulfinate) is the major volatile- and antimicrobial substance produced by garlic cells upon wounding. We tested the hypothesis that allicin affects membrane function and investigated 1) betanine pigment leakage from beetroot (Beta vulgaris) tissue, 2) the semipermeability of the vacuolar membrane of Rhoeo discolor cells, 3) the electrophysiology of plasmalemma and tonoplast of Chara corallina and 4) electrical conductivity of artificial lipid bilayers.


METHODS
Garlic juice and chemically synthesized allicin were used and betanine loss into the medium was monitored spectrophotometrically. Rhoeo cells were studied microscopically and Chara- and artificial membranes were patch clamped.


RESULTS
Beet cell membranes were approximately 200-fold more sensitive to allicin on a mol-for-mol basis than to dimethyl sulfoxide (DMSO) and approximately 400-fold more sensitive to allicin than to ethanol. Allicin-treated Rhoeo discolor cells lost the ability to plasmolyse in an osmoticum, confirming that their membranes had lost semipermeability after allicin treatment. Furthermore, allicin and garlic juice diluted in artificial pond water caused an immediate strong depolarization, and a decrease in membrane resistance at the plasmalemma of Chara, and caused pore formation in the tonoplast and artificial lipid bilayers.


CONCLUSIONS
Allicin increases the permeability of membranes.


GENERAL SIGNIFICANCE
Since garlic is a common foodstuff the physiological effects of its constituents are important. Allicin's ability to permeabilize cell membranes may contribute to its antimicrobial activity independently of its activity as a thiol reagent.
Business analytics: Research and teaching perspectives

Business analytics and big data are being discussed everywhere right now. The objective of this paper is to provide a research and teaching introduction to business analytics. It begins by providing a quick overview of the three types of analytics. To assist the future analytics professionals, we identify various sectors of the analytics industry and provide a classification of different types of industry participants. Then it includes a brief description of some current research projects under way in our team. We also note some research opportunities in Big Data analytics. The paper also concludes with a discussion of teaching opportunities in analytics.
CT angiography and Doppler sonography for emergency assessment in acute basilar artery ischemia.

BACKGROUND AND PURPOSE
Both Doppler sonography (DS) and spiral CT angiography (CTA) are noninvasive vascular assessment tools with a high potential for application in acute cerebral ischemia. The usefulness of CTA for vascular diagnosis in acute basilar artery (BA) ischemia has not yet been studied.


METHODS
We prospectively studied 19 patients (mean+/-SD age, 58+/-11 years) with clinically suspected acute BA occlusion by DS and CTA. Prior extracranial and transcranial DS was performed in all but 1 patient, with DS 4 hours after CTA. In 6 of 19 patients, we performed digital subtraction angiography.


RESULTS
CTA was diagnostic in all but 1 patient. CTA revealed complete BA occlusion in 9 patients and incomplete BA occlusion with some residual flow in 2 patients. A patent BA was shown in 7 patients. Because of severe BA calcification, CTA results were inconclusive in 1 patient. DS was diagnostic in only 7 of 19 patients, indicating certain BA occlusion in 3 patients and BA patency in 4 patients. In an additional 9 patients, the results of DS were inconclusive. DS was false-negative in 2 patients with distal BA occlusion shown by CTA and digital subtraction angiography. In 1 patient with DS performed after CTA, recanalization was demonstrated. In addition to the diagnosis or exclusion of BA occlusion, CTA provided information on the exact site and length of BA occlusion and collateral pathways. In our series, CTA results prompted indication for intra-arterial thrombolysis in 5 patients.


CONCLUSIONS
CTA was superior to DS in the assessment of BA patency in patients with the syndrome of acute BA ischemia in terms of feasibility and conclusiveness, particularly in cases with distal BA occlusion. Our study confirmed the usefulness of combined extracranial and transcranial DS in the diagnosis and exclusion of proximal BA occlusion.
Requirements engineering Inventory of technologies

The purpose of this publication is to describe existing systems and software requirements engineering techniques, methods and tools based on a literature study. This publication covers a wide range of requirements engineering methods and theoretical issues and thus provides a broad view of the field. Also, some RE tools are described. Requirements engineering is also described in general and RE processes introduced to provide background information about RE and help to understand the method descriptions. The main processes of RE as seen in this publication include: System requirements development, requirements allocation and flowdown, software requirements analysis and specification and continuous processes including requirements documentation, requirements validation and verification and requirements change management. Requirements Management (RM) activities are understood to begin before actual requirements engineering process phases (RM planning) and continuing during design, implementation, testing and maintenance phases.
Fatigue, inflammation, and ω-3 and ω-6 fatty acid intake among breast cancer survivors.

PURPOSE
Evidence suggests that inflammation may drive fatigue in cancer survivors. Research in healthy populations has shown reduced inflammation with higher dietary intake of ω-3 polyunsaturated fatty acids (PUFAs), which could potentially reduce fatigue. This study investigated fatigue, inflammation, and intake of ω-3 and ω-6 PUFAs among breast cancer survivors.


METHODS
Six hundred thirty-three survivors (mean age, 56 years; stage I to IIIA) participating in the Health, Eating, Activity, and Lifestyle Study completed a food frequency/dietary supplement questionnaire and provided a blood sample assayed for C-reactive protein (CRP) and serum amyloid A (30 months after diagnosis) and completed the Piper Fatigue Scale and Short Form-36 (SF-36) vitality scale (39 months after diagnosis). Analysis of covariance and logistic regression models tested relationships between inflammation and fatigue, inflammation and ω-3 and ω-6 PUFA intake, and PUFA intake and fatigue, controlling for three incremental levels of confounders. Fatigue was analyzed continuously (Piper scales) and dichotomously (SF-36 vitality ≤ 50).


RESULTS
Behavioral (P = .003) and sensory (P = .001) fatigue scale scores were higher by increasing CRP tertile; relationships were attenuated after adjustment for medication use and comorbidity. Survivors with high CRP had 1.8 times greater odds of fatigue after full adjustment (P < .05). Higher intake of ω-6 relative to ω-3 PUFAs was associated with greater CRP (P = .01 after full adjustment) and greater odds of fatigue (odds ratio, 2.6 for the highest v lowest intake; P < .05).


CONCLUSION
Results link higher intake of ω-3 PUFAs, decreased inflammation, and decreased physical aspects of fatigue. Future studies should test whether ω-3 supplementation may reduce fatigue among significantly fatigued breast cancer survivors.
Comparative responsiveness and minimal clinically important differences for idiopathic ulnar impaction syndrome.

BACKGROUND
Patient-reported questionnaires have been widely used to predict symptom severity and functional disability in musculoskeletal disease. Importantly, questionnaires can detect clinical changes in patients; however, this impact has not been determined for ulnar impaction syndrome.


QUESTIONS/PURPOSES
We asked (1) which of Patient-Rated Wrist Evaluation (PRWE), DASH, and other physical measures was more responsive to clinical improvements, and (2) what was the minimal clinically important difference for the PRWE and DASH after ulnar shortening osteotomy for idiopathic ulnar impaction syndrome.


METHODS
All patients who underwent ulnar shortening osteotomy between March 2008 and February 2011 for idiopathic ulnar impaction syndrome were enrolled in this study. All patients completed the PRWE and DASH questionnaires, and all were evaluated for grip strength and wrist ROM, preoperatively and 12 months postoperatively. We compared the effect sizes observed by each of these instruments. Effect size is calculated by dividing the mean change in a score of each instrument during a specified interval by the standard deviation of the baseline score. In addition, patient-perceived overall improvement was used as the anchor to determine the minimal clinically important differences on the PRWE and DASH 12 months after surgery.


RESULTS
The average score of each item except for wrist flexion and supination improved after surgery. The PRWE was more sensitive than the DASH or than physical measurements in detecting clinical changes. The effect sizes and standardized response means of the outcome measures were as follows: PRWE (1.51, 1.64), DASH (1.12, 1.24), grip strength (0.59, 0.68), wrist pronation (0.33, 0.41), and wrist extension (0.28, 0.36). Patient-perceived overall improvement and score changes of the PRWE and DASH correlated significantly. Minimal clinically important differences were 17 points (of a possible 100) for the PRWE and 13.5 for the DASH (also of 100), and minimal detectable changes were 7.7 points for the PRWE and 9.3 points for the DASH.


CONCLUSIONS
Although the PRWE and DASH were highly sensitive to clinical changes, the PRWE was more sensitive in terms of detecting clinical changes after ulnar shortening osteotomy for idiopathic ulnar impaction syndrome. A minimal change of 17 PRWE points or 13.5 DASH points was necessary to achieve a benefit that patients perceived as clinically important. The minimal clinically important differences using these instruments were higher than the values produced by measurement errors.
Does leaf shedding protect stems from cavitation during seasonal droughts? A test of the hydraulic fuse hypothesis.

During droughts, leaves are predicted to act as 'hydraulic fuses' by shedding when plants reach critically low water potential (Ψplant ), thereby slowing water loss, stabilizing Ψplant and protecting against cavitation-induced loss of stem hydraulic conductivity (Ks ). We tested these predictions among trees in seasonally dry tropical forests, where leaf shedding is common, yet variable, among species. We tracked leaf phenology, Ψplant and Ks in saplings of six tree species distributed across two forests. Species differed in their timing and extent of leaf shedding, yet converged in shedding leaves as they approached the Ψplant value associated with a 50% loss of Ks and at which their model-estimated maximum sustainable transpiration rate approached zero. However, after shedding all leaves, the Ψplant value of one species, Genipa americana, continued to decline, indicating that water loss continued after leaf shedding. Ks was highly variable among saplings within species and seasons, suggesting a minimal influence of seasonal drought on Ks . Hydraulic limits appear to drive diverse patterns of leaf shedding among tropical trees, supporting the hydraulic fuse hypothesis. However, leaf shedding is not universally effective at stabilizing Ψplant , suggesting that the main function of drought deciduousness may vary among species.
Interferometric Synthetic Aperture Microscopy

Interferometric synthetic aperture microscopy (ISAM) provides high-resolution three-dimensional optical images of highly-scattering samples with large depth-of-field without scanning the focal plane. ISAM can function in real-time to provide volumes of microscopic data from biological specimens.
bin2llvm: Analysis of Binary Programs Using LLVM Intermediate Representation

The analysis of programs is an important and well researched topic in information security, specifically for finding bugs in binary programs or analyzing malicious software. Many commonly used techniques rely on dynamic analysis by running samples and monitoring their behavior or are based on the cumbersome and time consuming inspection of plain assembly code.
 In this paper we present a novel approach for static analysis we are using in bin2llvm, a work-in-progress analysis framework, in order to find and identify cryptographic routines in binary programs. Our approach does not need to run the target of analysis in any way and is based on decompilation of binaries to an intermediate language similar to assembly code, the LLVM Intermediate Representation (IR), by using the open source decompiler Dagger. After decompilation we are able to apply various analysis techniques to the resulting code. These methods can be easily implemented and extended as optimization passes for the LLVM optimizer and can therefore benefit from its extensive API. Although we discovered certain drawbacks and issues with this approach, our results and proof of concept show that IR code is a very suitable target for analyses and it is well worth driving research further into this topic.
Computability in Type-2 Objects with Well-Behaved Type-1 Oracles is p-Normal

We show that computability in a type-2 object is p-normal if type-1 partial inputs are computed by ``well-behaved oracles''.
A multi-institutional study of hemostatic gauze and tourniquets in rural civilian trauma.

BACKGROUND
Life-threatening hemorrhage is a leading cause of preventable mortality in trauma patients. Since publication of the Hartford Consensus statement, there has been intense interest in civilian use of commercial hemostatic gauze and tourniquets. Although the military has studied their use on soldiers with wartime injuries, there are limited data on patient outcomes following civilian prehospital use and no data on the use in rural trauma.


METHODS
We performed a multi-institutional retrospective analysis of clinical outcomes following prehospital use of QuikClot combat gauze (QC) and combat application tourniquets (CATs) from 2009 to 2014. The primary outcome measured was effectiveness. Secondary outcomes included morbidity, mortality, patients' demographics, injury characteristics, and hospital outcomes.


RESULTS
Between 2009 and 2014, 95 patients were managed by prehospital personnel with QC and/or CAT. Forty received QC, 61 received CAT, and 6 received both products. The median age was 40 years (6-91 years), 29% were female, and the median injury severity score was 7 (1-25). QuikClot combat gauze was 89% effective. Minimal morbidity was associated with QC use. Combat application tourniquet was 98% effective. Median tourniquet time was 21 minutes (6-142 minutes), the median injury severity score was 9 (1-50), and mortality was 9.8%. Morbidities observed with tourniquet use included amputation, fasciotomy, rhabdomyolysis, and acute kidney injury. Risk of amputation was associated with higher injury severity (p = 0.04) but not with elderly age, obesity, or the presence of medical comorbidities. No amputations resulted solely from the use of tourniquets.


CONCLUSIONS
QuikClot combat gauze and CAT are safe and effective adjuncts for hemorrhage control in the rural civilian trauma across a wide range of injury patterns. In a rural civilian population including women, children, and elderly patients with medical comorbidities, these devices are associated with minimal morbidity beyond that of the original injury.


LEVEL OF EVIDENCE
Therapeutic study, level V.
One-year mortality among unselected outpatients with heart failure.

OBJECTIVE
To estimate 1-year mortality and prognostic factors in unselected outpatients with heart failure, and to compare the observed mortality with the estimates of the primary care physicians.


METHODS AND RESULTS
Four hundred and eleven consecutive patients with heart failure New York Heart Association (NYHA) class II-IV (mean population age 75 years, 56% males) were enrolled in 71 primary care offices throughout Switzerland. During a mean follow-up period of 1.4 years, 68 patients had died. One-year total mortality was 12.6% compared to 4.3% in the underlying Swiss population (standardized mortality ratio 3.0). Among patients with heart failure NYHA II, III and IV, mortality was 7.1%, 15.0% and 28.0%, respectively. In multivariate Cox regression, statistically significant (P<0.05) predictors of mortality were NYHA class (NYHA III: risk ratio [RR]=1.6; NYHA IV: RR=2.2), recent hospital stay for heart disease (RR=2.3), creatinine>120 micromol.l(-1) (RR=1.8) systolic blood pressure<100 mmHg (RR=2.4), heart rate>100 min(-1) (RR=2.7), age (per 10 years, RR=1.6) and female gender (RR=0.49). Among patients with reduced left ventricular ejection fraction, 1-year mortality was 14.3%, and predictors were similar except that female gender was no longer associated with reduced mortality. Primary care physicians significantly overestimated 1-year mortality (estimated mortality 25.9% vs observed mortality 12.6%,P =0.001).


CONCLUSIONS
Unselected outpatients with heart failure have a poor prognosis, particularly those with advanced heart failure and a recent hospital stay for heart disease. Primary care physicians are aware of the high mortality of this growing patient population.