LLukas22/scidocs huggingface dataset:
Voice Recognition in Face-Blind Patients.

Right or bilateral anterior temporal damage can impair face recognition, but whether this is an associative variant of prosopagnosia or part of a multimodal disorder of person recognition is an unsettled question, with implications for cognitive and neuroanatomic models of person recognition. We assessed voice perception and short-term recognition of recently heard voices in 10 subjects with impaired face recognition acquired after cerebral lesions. All 4 subjects with apperceptive prosopagnosia due to lesions limited to fusiform cortex had intact voice discrimination and recognition. One subject with bilateral fusiform and anterior temporal lesions had a combined apperceptive prosopagnosia and apperceptive phonagnosia, the first such described case. Deficits indicating a multimodal syndrome of person recognition were found only in 2 subjects with bilateral anterior temporal lesions. All 3 subjects with right anterior temporal lesions had normal voice perception and recognition, 2 of whom performed normally on perceptual discrimination of faces. This confirms that such lesions can cause a modality-specific associative prosopagnosia.
The Internet of Skills: use of fifth-generation telecommunications, haptics and artificial intelligence in robotic surgery.

Minimally invasive surgery (MIS) is well established in many surgical applications, with an estimated surgical robot device markets anticipated to reach $20 billion by 2021 (1). It yields many known advantages over traditional open surgery, examples being smaller incision sites resulting in decreased blood loss and risk of infection, decreased length of hospital stay and time to return to work, and improved cosmesis (2).The field as a whole suffers from shortcomings today, and thus does not live up to its full potential. This article is protected by copyright. All rights reserved.
Passport to engineering [Careers]

A new ID card will establish an engineer's credentials throughout the EU.
Automatically improving accuracy for floating point expressions

Scientific and engineering applications depend on floating point arithmetic to approximate real arithmetic. This approximation introduces rounding error, which can accumulate to produce unacceptable results. While the numerical methods literature provides techniques to mitigate rounding error, applying these techniques requires manually rearranging expressions and understanding the finer details of floating point arithmetic. We introduce Herbie, a tool which automatically discovers the rewrites experts perform to improve accuracy. Herbie's heuristic search estimates and localizes rounding error using sampled points (rather than static error analysis), applies a database of rules to generate improvements, takes series expansions, and combines improvements for different input regions. We evaluated Herbie on examples from a classic numerical methods textbook, and found that Herbie was able to improve accuracy on each example, some by up to 60 bits, while imposing a median performance overhead of 40%. Colleagues in machine learning have used Herbie to significantly improve the results of a clustering algorithm, and a mathematical library has accepted two patches generated using Herbie.
Reminiscence and dementia: a therapeutic intervention.

BACKGROUND
Dementia is a significant public health problem. One non-pharmacological therapy that has shown its effectiveness is reminiscence, which is a psychological intervention designed to address issues of particular relevance to older adults. The aim of this study was to examine the benefits of an integrative reminiscence program in elderly people with dementia.


METHODS
A quasi-experimental design and purposeful sampling were conducted at two retirement homes. Forty-two elderly adults with dementia were studied to measure the effect of the therapy (23 in the experimental group and 19 in the control group). The treatment group activity was held in 10 sessions.


RESULTS
The treatment group significantly improved their depressive symptoms and self-acceptance, positive relations with others, autonomy, and environmental mastery.


CONCLUSIONS
This study provides support for the effectiveness of integrative reminiscence therapy (RT) as an intervention in people with dementia, especially in reducing depressive symptoms and improving psychological well-being, with the therapy being effective on personal and emotional variables.
Efficient influence maximization in social networks

Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the efficient influence maximization from two complementary directions. One is to improve the original greedy algorithm of [5] and its improvement [7] to further reduce its running time, and the second is to propose new degree discount heuristics that improves influence spread. We evaluate our algorithms by experiments on two large academic collaboration graphs obtained from the online archival database arXiv.org. Our experimental results show that (a) our improved greedy algorithm achieves better running time comparing with the improvement of [7] with matching influence spread, (b) our degree discount heuristics achieve much better influence spread than classic degree and centrality-based heuristics, and when tuned for a specific influence cascade model, it achieves almost matching influence thread with the greedy algorithm, and more importantly (c) the degree discount heuristics run only in milliseconds while even the improved greedy algorithms run in hours in our experiment graphs with a few tens of thousands of nodes.
 Based on our results, we believe that fine-tuned heuristics may provide truly scalable solutions to the influence maximization problem with satisfying influence spread and blazingly fast running time. Therefore, contrary to what implied by the conclusion of [5] that traditional heuristics are outperformed by the greedy approximation algorithm, our results shed new lights on the research of heuristic algorithms.
Characterization of aneurysm remnants after endovascular treatment: contrast-enhanced MR angiography versus catheter digital subtraction angiography.

BACKGROUND AND PURPOSE
A substantial percentage of coiled aneurysms are associated with persistent filling of an aneurysmal component due to incomplete initial treatment or re-growth. Traditionally follow-up of coiled aneurysms has consisted of repeated intra-arterial cerebral catheter angiography, an invasive procedure with associated risks. Hence, many authors have advocated the use of non-invasive imaging techniques for this purpose. Our aim was to compare contrast-enhanced MR angiography (CE-MRA) with digital subtraction angiography (DSA) for depiction of aneurysmal remnants of coiled cerebral aneurysms.


MATERIALS AND METHODS
Aneurysms coiled between September 2003 and October 2006 were retrospectively reviewed. We included patients meeting the following criteria: 1) residual/recurrent aneurysm measuring 2 mm or greater, and 2) CE-MRA and DSA performed no more than 60 days apart. Three readers were asked to determine which technique was superior for characterization of the aneurysmal remnant: CE-MRA, DSA, or indeterminate. Statistical analysis included most rule and kappa statistics.


RESULTS
Of 232 patients who underwent coiling, 44 met the inclusion criteria (33 women and 11 men; 24-72 years of age). Sixteen patients had neck remnants and 28 had body remnants. The first study to identify the remnant was DSA in 35 patients and CE-MRA in 9. In 32 patients (32/44, 73%), the readers indicated that CE-MRA was superior to DSA for remnant characterization. CE-MRA and DSA were thought to be equivalent in 7 (16%), and DSA was preferred in 3 (7%). Two cases (5%) yielded ambiguous results. Of the 28 body remnants, 22 (78.6%) were characterized by remnant protrusion into the coil mass: In 20 of these (91%), the readers preferred CE-MRA over DSA, and in 2 cases (9%), the techniques were thought to be equivalent.


CONCLUSION
In patients with known aneurysm remnants, CE-MRA is at least equivalent to DSA for characterization of aneurysmal remnants after coiling. Contrast filling within the coil mass was more clearly seen with CE-MRA than with DSA.
The Relationship between Effective Communication of High School Principal and School Climate.

Effective communication is one critical characteristics of effective and successful school principal. Research on effective schools and instructional leadership emphasizes the impact of principal leadership on creating safe and secure leaming environment and positive nurturing school climate. This paper was designed to study the relationship between effective communication of high school principal's and school climate. Two instruments were used to measure school climate and communication effectiveness between principals and teachers. Participants were 555 students (293 males and 262 females) and 208 teachers (107 males and 208 females) from Abu Dhabi District, UAE. Results indicated that school climate is positively associated with principal's communication effectiveness. Better climate school was expected in schools where effective communication between school principal and his/her teachers exists. In addition, schools were found to be different in their principal's communication effectiveness and on their climate especially on Security and Maintenance and Instructional Management. Significant differences were also observed between males and females for the advantages of female schools on Security and Maintenance, Student Behavioral Values, Student-Peer Relationships, and Instructional Management. On the other hand, communication between principals and teachers in male schools was more effective than that in female schools.
Psychological maladjustment and quality of life in adolescents with constipation.

OBJECTIVES
To assess psychological maladjustment in adolescents with functional constipation.


STUDY DESIGN
We conducted a cross-sectional survey in five schools. Adolescents aged between 13 and 18 years were included in the study. Validated questionnaires were used to collect bowel habits and demographic data, health-related quality of life (HRQoL) and psychological maladjustment. Rome III criteria were used to diagnose constipation.


RESULTS
1697 adolescents were recruited (boys 779 (45.9%), mean age 15.06 years and SD 1.6 years). Prevalence of constipation was 6.7%, of whom 52 were boys (45.6%) and 62 were girls (54.4%). 38 adolescents (33.3%) with constipation and 230 controls (14.5%) had significant psychological maladjustment. Among seven different personality dimensions used to assess psychological maladjustment, children with constipation had significantly more deficits than controls in hostility and aggression (14.2 vs 12.6 in controls (mean difference 1.54, 95% CI (0.89 to 2.19) p<0.001), negative self-esteem (12.0 vs 10.5 in controls, mean difference 1.54 95% CI (0.96 to 2.06) p<0.001), negative self-adequacy (11.9 vs 9.8 controls, mean difference 2.07 95% CI (1.46 to 2.67) p<0.001), emotional unresponsiveness (12.9 vs 11.5 controls, mean difference 1.44 95% CI (0.84 to 2.04) p<0.001), emotional instability (17.1 vs 15.6, mean difference 1.53 95% CI (0.86 to 2.2) p<0.001) and negative world view (12.1 vs 10.2 controls, mean difference 1.91 95% CI (1.24 to 2.59) p<0.001). The total HRQoL of adolescents with constipation was lower than controls (70.6 vs 79.0 mean difference 9.48 95% CI (1.4 to 6.7) p<0.05).


CONCLUSION
A significant proportion of children with constipation are suffering from psychological maladjustment.
The Complex Negotiation Dialogue Game

This position paper formalises an abstract model for complex negotiation dialogue. This model is to be used for the benchmark of optimisation algorithms ranging from Reinforcement Learning to Stochastic Games, through Transfer Learning, One-Shot Learning or others.
Learning a Spelling Error Model from Search Query Logs

Applying the noisy channel model to search query spelling correction requires an error model and a language model. Typically, the error model relies on a weighted string edit distance measure. The weights can be learned from pairs of misspelled words and their corrections. This paper investigates using the Expectation Maximization algorithm to learn edit distance weights directly from search query logs, without relying on a corpus of paired words.
Novel Authentication Schemes for IoT Based Healthcare Systems

With the advancement of information communication technologies, the evolution of the Internet has given rise to a ubiquitous network consisting of interconnected objects (or things), called the Internet of Things (IoT). Recently, the academic community has made great strides in researching and developing security for IoT based applications, focusing, in particular, on healthcare systems based on IoT networks. In this paper, we propose a sensor (or sensor tags) based communication architecture for future IoT based healthcare service systems. A secure single sign-on based authentication scheme and a robust coexistence proof protocol for IoT based healthcare systems are proposed. With the formal security analysis, the robustness of the two proposed schemes is guaranteed under the adversary model.
"The itching hand"- important differential diagnoses and treatment.

Skin diseases affecting the hands receive particular individual attention and constitute a considerable emotional burden. Many dermatoses also present with itching of the hands. Itch is often underestimated when it occurs in a comparably limited body area such as the hands. The high occupational significance of the hands in many professions must, nevertheless, be stressed. One of the most frequent diagnoses in itching of the hands is eczema. In the differential diagnosis, less common diseases such as neurological and systemic diseases and adverse drug reactions must also be taken into consideration. Itching of the hands can also be accompanied by other sensations, such as burning, stinging and pain. A thorough history regarding sensations and dysesthesias already allows for a diagnostic classification of the disease in some cases. Itching of the hands requires a careful and thorough diagnostic approach. This forms the basis of a specific and successful therapy which may be adapted stepwise, depending on the underlying cause, and also may require, in addition to causal therapy, symptomatic antipruritic therapy. Therapy should follow the current guidelines for chronic pruritus and hand eczema. This article reviews over the differential diagnosis and therapy of "itching hands".
Use of a 3 phase full bridge converter to drive a 6 phase switched reluctance machine

This paper explores how the use of a modified full bridge converter, coupled to a 6 phase switched reluctance motor, can produce a torque dense drive with low torque ripple, combined with standard drive electronics and a good converter VA rating. A description is provided of the new drive configuration: a prototype motor and drive are constructed and test results provided. Results are compared with those to be expected from the same switched reluctance machine driven from a conventional, asymmetric half bridge converter.
Curved Thought and Textual Wandering: Gertrude Stein's Postmodernism

Provides the first sustained reading of Gertrude Stein's novels from both feminist and postmodern perspectives.
Biomechanical comparison of different techniques in primary spinal surgery in osteoporotic cadaveric lumbar vertebrae: expansive pedicle screw versus polymethylmethacrylate-augmented pedicle screw

Transpedicular fixation can be challenging in the osteoporotic spine. Expansive pedicle screw (EPS) and polymethylmethacrylate-augmented pedicle screw (PMMA-PS) were both used to increase screw stability. However, there are a little or no biomechanical comparisons of EPS and PMMA-PS, especially in primary spinal surgery in osteoporotic vertebrae. The purpose of this study was to compare the stability of EPS and PMMA-PS in primary spinal surgery. Fifteen osteoporotic vertebrae were randomly divided into three groups. The conventional pedicle screw (CPS) was inserted in CPS group, the pilot hole was filled with PMMA followed by CPS insertion in PMMA-PS group, and EPS was inserted in EPS group. Twenty-four hours later, X-ray and CT examination and biomechanical tests were performed to all vertebrae. In PMMA-PS group, PMMA existed in bone tissue around the CPS in both vertebral body and pedicle of vertebral arch, and PMMA surrounding the screw formed a spindle-shaped structure in vertebral body. In EPS group, anterior part of EPS presented an obvious expansion in vertebral body and formed a clawlike structure. Screw stabilities in PMMA-PS and EPS groups were significantly enhanced compared with those in CPS group (P < 0.05). However, there was no significant difference between PMMA-PS and EPS groups (P > 0.05). Expansive pedicle screw can markedly enhance screw stability with a similar effect to the traditional method of screw augmentation with PMMA in primary surgery in osteoporotic vertebrae. In addition, EPS can overcome pedicle fracture, leakage and compression caused by lager screw and augmentation with PMMA. We propose that EPS is an effective, safe and easy method and has a great application potential in augmentation of screw stability in osteoporosis in clinic.
SOML: Sparse Online Metric Learning with Application to Image Retrieval

Image similarity search plays a key role in many multimedia applications, where multimedia data (such as images and videos) are usually represented in highdimensional feature space. In this paper, we propose a novel Sparse Online Metric Learning (SOML) scheme for learning sparse distance functions from large-scale high-dimensional data and explore its application to image retrieval. In contrast to many existing distance metric learning algorithms that are often designed for low-dimensional data, the proposed algorithms are able to learn sparse distance metrics from high-dimensional data in an efficient and scalable manner. Our experimental results show that the proposed method achieves better or at least comparable accuracy performance than the state-of-the-art non-sparse distance metric learning approaches, but enjoys a significant advantage in computational efficiency and sparsity, making it more practical for real-world applications.
Effect of Change in Position and Back Massage on Pain Perception during First Stage of Labor.

BACKGROUND
Labor is one of the most painful events in a women's life. Frequent change in positions and back massage may be effective in reducing pain during the first stage of labor.


AIM
The focus of this study was to identify the impact of either change in position or back massage on pain perception during first stage of labor.


DESIGN
A quasi-experimental study.


SETTING
Teaching hospital, Kurdistan Region, Iraq, November 2014 to October 2015.


SUBJECTS
Eighty women were interviewed as a study sample when admitted to the labor and delivery area and divided into three groups: 20 women received frequent changes in position (group A), 20 women received back massage (Group B), and 40 women constituted the control group (group C).


METHODS
A structured interview questionnaire to collect background data was completed by the researcher in personal interviews with the mothers. The intervention was performed at three points in each group, and pain perception was measured after each intervention using the Face Pain Scale.


RESULTS
The mean rank of the difference in pain scores among the study groups was as follows after the first, second, and third interventions, respectively: group A-52.33, 47.00, 49.2; group B-32.8, 30.28, 30.38; group C-38.44, 42.36, 41.21. There were significant differences between groups A, B, and C after the first, second, and third interventions (p1 = .011, p2 = .042, p3 = .024).


CONCLUSIONS
Back massage may be a more effective pain management approach than change in position during the first stage of labor.
Distribution, seasonal variation & dengue transmission prediction in Sisaket, Thailand

BACKGROUND & OBJECTIVES
Environmental factors including weather variables may play a significant role in the transmission of dengue. This study investigated the effect of seasonal variation on the abundance of Aedes aegypti and Ae. albopictus larvae and explored the impact of weather variability on dengue transmission in Sisaket, Thailand.


METHODS
The monthly mosquito larval surveys were carried out in urban and rural areas in Sisaket, Thailand from January to December 2010. Data on monthly-reported cases of dengue fever over the period 2004-2010 were obtained from the Ministry of Public Health. Weather data over the same period were obtained from the Thai Meteorological Department. Chi-square test was used to find the differences relating to seasonal variability, areas of study, and mosquito species factors using entomological survey data. Time series Poisson regression analysis was performed using data on monthly weather variables and dengue cases.


RESULTS
There were more Ae. aegypti larvae per household than Ae. albopictus larvae in the winter and rainy seasons. More Aedes larvae per household were found in the rainy season than in the winter and summer seasons. Relative humidity at a lag of one month and rainy days in the current month were significant predictors of dengue incidence in Sisaket.


INTERPRETATION & CONCLUSIONS
Increased rain during the current month and less humidity during the previous month might trigger a higher incidence of dengue epidemic in Sisaket. The present findings suggest that the dengue incidence corresponds with the number of Aedes larvae. The seasonal patterns of dengue outbreaks coincide with the rainy season.
Seismic Analysis of Steel Braced Reinforced Concrete Frames

Steel braced frame is one of the structural systems used to resist earthquake loads in multistoried buildings. Many existing reinforced concrete buildings need retrofit to overcome deficiencies to resist seismic loads. The use of steel bracing systems for strengthening or retrofitting seismically inadequate reinforced concrete frames is a viable solution for enhancing earthquake resistance. Steel bracing is economical, easy to erect, occupies less space and has flexibility to design for meeting the required strength and stiffness. In the present study, the seismic performance of reinforced concrete (RC) buildings rehabilitated using concentric steel bracing is investigated. The bracing is provided for peripheral columns. A four-storey building is analyzed for seismic zone IV as per IS 1893: 2002 4 using STAAD Pro software. The effectiveness of various types of steel bracing in rehabilitating a four-storey building is examined. The effect of the distribution of the steel bracing along the height of the RC frame on the seismic performance of the rehabilitated building is studied. The performance of the building is evaluated in terms of global and story drifts. The study is extended to eight storied, twelve storied and sixteen storied building. The percentage reduction in lateral displacement is found out. It is found that the X type of steel bracing significantly contributes to the structural stiffness and reduces the maximum interstorey drift of the frames.
A closer look at GPUs

As the line between GPUs and CPUs begins to blur, it's important to understand what makes GPUs tick.