nils-herrmann/clean_scirepeval huggingface dataset:
Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients.

The 'default network' is defined as a set of areas, encompassing posterior-cingulate/precuneus, anterior cingulate/mesiofrontal cortex and temporo-parietal junctions, that show more activity at rest than during attention-demanding tasks. Recent studies have shown that it is possible to reliably identify this network in the absence of any task, by resting state functional magnetic resonance imaging connectivity analyses in healthy volunteers. However, the functional significance of these spontaneous brain activity fluctuations remains unclear. The aim of this study was to test if the integrity of this resting-state connectivity pattern in the default network would differ in different pathological alterations of consciousness. Fourteen non-communicative brain-damaged patients and 14 healthy controls participated in the study. Connectivity was investigated using probabilistic independent component analysis, and an automated template-matching component selection approach. Connectivity in all default network areas was found to be negatively correlated with the degree of clinical consciousness impairment, ranging from healthy controls and locked-in syndrome to minimally conscious, vegetative then coma patients. Furthermore, precuneus connectivity was found to be significantly stronger in minimally conscious patients as compared with unconscious patients. Locked-in syndrome patient's default network connectivity was not significantly different from controls. Our results show that default network connectivity is decreased in severely brain-damaged patients, in proportion to their degree of consciousness impairment. Future prospective studies in a larger patient population are needed in order to evaluate the prognostic value of the presented methodology.
A cephalometric approach to establish the vertical facial dimension : An in vitro study

Evaluating the maxilla-mandibular vertical dimension is of great importance in constructing successful denture prosthesis, however it is a tedious process which may be misinterpreted leading to false readings. Hence with the aid of cephalometric analysis a cephalogram may present a graphic representation .this study aims to introduce a new mathematical method for of determination the occlusal vertical dimension (O.V.D.).  The first part was conducted to derive a clinical ratio between the O.V.D. and the ear-eye distance, as well as to derive a radiographical ratio between the same distances on a lateral cephalometric view. The second part of this study aimed to evaluate the accuracy of clinical and radiographical application of the ratios that were derived from the first part in estimating the O.V.D from the ear-eye distance measured in dentate subjects.
Maxillonasal dysplasia (Binder's syndrome) and its treatment with costal cartilage graft: A follow-up study

Maxillonasal dysplasia or Binder's syndrome is an uncommon congenital condition characterized by a retruded mid-face with an extremely flat nose. We report here six patients with maxillonasal dysplasia whose noses were corrected with onlay costal cartilage grafts using a combined oral vestibular and external rhinoplasty approach for nasal dorsal augmentation, columellar lengthening, and premaxillary augmentation. The cartilage graft was dipped in a solution of 100 ml 0.9% NaCl and one vial (80mg) gentamicin for 30 min to prevent warping. L struts made for nasal augmentation, columellar lengthening, and premaxillary augmentation were fixed to one another by slots made in the graft. This technique has been used in children, adults, and for secondary cases with promising results. All patients were of class I dental occlusion. The nasal and premaxillary augmentation which was monitored by serial photography was found to be stable over a follow-up period of three years.
Wireless Sensor Networks for Home Health Care

Sophisticated electronics are within reach of average users. Cooperation between wireless sensor networks and existing consumer electronic infrastructures can assist in the areas of health care and patient monitoring. This will improve the quality of life of patients, provide early detection for certain ailments, and improve doctor-patient efficiency. The goal of our work is to focus on health-related applications of wireless sensor networks. In this paper we detail our experiences building several prototypes and discuss the driving force behind home health monitoring and how current (and future) technologies will enable automated home health monitoring.
High gain triple band microstrip antenna based on metamaterial super lens for wireless communication applications

This paper presents a design of highly effective triple band microstrip antenna for wireless communication applications. The triple band design is a metamaterial-based design for WLAN and WiMAX (2.4/3.5/5.6 GHz) applications. The triple band response is obtained by etching two circular and one rectangular split ring resonator (SRR) unit cells on the ground plane of a conventional patch operating at 3.56 GHz. The circular cells are introduced to resonate at 5.3 GHz for the upper WiMAX band, while the rectangular cell is designed to resonate at 2.45 GHz for the lower WLAN band. Furthermore, a novel complementary H-shaped unit cell oriented above the triple band antenna is proposed. The proposed H-shaped is being used as a lens to significantly increase the antenna gain. To investigate the left-handed behavior of the proposed H-shaped, extensive parametric study for the placement of each unit cell including the metamaterial lens, which is the main parameter affecting the antenna performance, is presented and discussed comprehensively. Good consistency between the measured and simulated results is achieved. The proposed antenna meets the requirements of WiMAX and WLAN standards with high peak realized gain.
An Automatic Hybrid Method for Retinal Blood Vessel Extraction

The extraction of blood vessels from retinal images is an important and challenging task in medical analysis and diagnosis. This paper presents a novel hybrid automatic approach for the extraction of retinal image vessels. The method consists in the application of mathematical morphology and a fuzzy clustering algorithm followed by a purification procedure. In mathematical morphology, the retinal image is smoothed and strengthened so that the blood vessels are enhanced and the background information is suppressed. The fuzzy clustering algorithm is then employed to the previous enhanced image for segmentation. After the fuzzy segmentation, a purification procedure is used to reduce the weak edges and noise, and the final results of the blood vessels are consequently achieved. The performance of the proposed method is compared with some existing segmentation methods and hand-labeled segmentations. The approach has been tested on a series of retinal images, and experimental results show that our technique is promising and effective.
Glanuloplasty with scrotal flap for partial penectomy.

Reconstructing a penile stump secondary to trauma or cancer should result in satisfactory penile function and appearance. The lack of penile skin, stump retraction in the scrotum and stenosis of the neomeatus must be resolved in these cases.



A 2-stage surgical technique with a scrotal flap was used in 34 patients with a mean age of 43.2 years to reconstruct the glans. Mean followup was 73.2 months. After penectomy a scrotal flap was designed and its distal extreme was transferred to the penile stump. The urethral end was sutured to a hole in the scrotal flap and the flap borders were sutured to the adjacent albuginea. The flap pedicle was resected 4 to 6 weeks later.



Patient recovery was characterized by a normal-appearing penis and unobstructed urinary flow. Definite depilation of the neoglans was required in 17.6% of cases. Partial necrosis of 2 flaps (5.8%) required grafts. Sexual potency was preserved in 7 men (20.5%). In 1 case (2.9%) urethral meatal stenosis resolved with minor surgical procedures.



This technique enables us to design a neoglans with acceptable function and appearance, no penile retraction, satisfactory voiding and in certain cases possible intercourse with vaginal penetration.
Towards Ontology-Based Event Processing

The rapid change and heterogeneity of today’s generated data calls for real-time decision making systems that can cope with the presented heterogeneity. In this paper, we present an Ontology Based Event Processing system that bridges the gap between ontology-based reasoning and event processing. We propose both a language and an architecture to perform event processing over abstract ontology concepts. This allows to perform e cient temporal reasoning, while the high-level ontological definitions reduce the need for knowledge of the underlying data structure in complex domains.
Vascular effects of adiponectin: molecular mechanisms and potential therapeutic intervention.

Adiponectin is a major adipocyte-secreted adipokine abundantly present in the circulation as three distinct oligomeric complexes. In addition to its role as an insulin sensitizer, mounting evidence suggests that adiponectin is an important player in maintaining vascular homoeostasis. Numerous epidemiological studies based on different ethnic groups have identified adiponectin deficiency (hypoadiponectinaemia) as an independent risk factor for endothelial dysfunction, hypertension, coronary heart disease, myocardial infarction and other cardiovascular complications. Conversely, elevation of circulating adiponectin concentrations by either genetic or pharmacological approaches can alleviate various vascular dysfunctions in animal models. Adiponectin exerts its vasculoprotective effects through its direct actions in the vascular system, such as increasing endothelial NO production, inhibiting endothelial cell activation and endothelium-leucocyte interaction, enhancing phagocytosis, and suppressing macrophage activation, macrophage-to-foam cell transformation and platelet aggregation. In addition, adiponectin reduces neointima formation through an oligomerization-dependent inhibition of smooth muscle proliferation. The present review highlights recent research advances in unveiling the molecular mechanisms that underpin the vascular actions of adiponectin and discusses the potential strategies of using adiponectin or its signalling pathways as therapeutic targets to combat obesity-related metabolic and vascular diseases.
Neural Circuit Dynamics Underlying Accumulation of Time-Varying Evidence During Perceptual Decision Making

How do neurons in a decision circuit integrate time-varying signals, in favor of or against alternative choice options? To address this question, we used a recurrent neural circuit model to simulate an experiment in which monkeys performed a direction-discrimination task on a visual motion stimulus. In a recent study, it was found that brief pulses of motion perturbed neural activity in the lateral intraparietal area (LIP), and exerted corresponding effects on the monkey's choices and response times. Our model reproduces the behavioral observations and replicates LIP activity which, depending on whether the direction of the pulse is the same or opposite to that of a preferred motion stimulus, increases or decreases persistently over a few hundred milliseconds. Furthermore, our model accounts for the observation that the pulse exerts a weaker influence on LIP neuronal responses when the pulse is late relative to motion stimulus onset. We show that this violation of time-shift invariance (TSI) is consistent with a recurrent circuit mechanism of time integration. We further examine time integration using two consecutive pulses of the same or opposite motion directions. The induced changes in the performance are not additive, and the second of the paired pulses is less effective than its standalone impact, a prediction that is experimentally testable. Taken together, these findings lend further support for an attractor network model of time integration in perceptual decision making.
Bacterial Cellulose Production from Industrial Waste and by-Product Streams

The utilization of fermentation media derived from waste and by-product streams from biodiesel and confectionery industries could lead to highly efficient production of bacterial cellulose. Batch fermentations with the bacterial strain Komagataeibacter sucrofermentans DSM (Deutsche Sammlung von Mikroorganismen) 15973 were initially carried out in synthetic media using commercial sugars and crude glycerol. The highest bacterial cellulose concentration was achieved when crude glycerol (3.2 g/L) and commercial sucrose (4.9 g/L) were used. The combination of crude glycerol and sunflower meal hydrolysates as the sole fermentation media resulted in bacterial cellulose production of 13.3 g/L. Similar results (13 g/L) were obtained when flour-rich hydrolysates produced from confectionery industry waste streams were used. The properties of bacterial celluloses developed when different fermentation media were used showed water holding capacities of 102-138 g · water/g · dry bacterial cellulose, viscosities of 4.7-9.3 dL/g, degree of polymerization of 1889.1-2672.8, stress at break of 72.3-139.5 MPa and Young's modulus of 0.97-1.64 GPa. This study demonstrated that by-product streams from the biodiesel industry and waste streams from confectionery industries could be used as the sole sources of nutrients for the production of bacterial cellulose with similar properties as those produced with commercial sources of nutrients.
Interactive Visual Calibration of Volumetric Head-Tracked 3D Displays

Head-tracked 3D displays can provide a compelling 3D effect, but even small inaccuracies in the calibration of the participant's viewpoint to the display can disrupt the 3D illusion. We propose a novel interactive procedure for a participant to easily and accurately calibrate a head-tracked display by visually aligning patterns across a multi-screen display. Head-tracker measurements are then calibrated to these known viewpoints. We conducted a user study to evaluate the effectiveness of different visual patterns and different display shapes. We found that the easiest to align shape was the spherical display and the best calibration pattern was the combination of circles and lines. We performed a quantitative camera-based calibration of a cubic display and found visual calibration outperformed manual tuning and generated viewpoint calibrations accurate to within a degree. Our work removes the usual, burdensome step of manual calibration when using head-tracked displays and paves the way for wider adoption of this inexpensive and effective 3D display technology.
How to Vote Privately Using Bitcoin

Bitcoin is the first decentralized crypto-currency that is currently by far the most popular one in use. The bitcoin transaction syntax is expressive enough to setup digital contracts whose fund transfer can be enforced automatically. In this paper, we design protocols for the bitcoin voting problem, in which there are n voters, each of which wishes to fund exactly one of two candidates A and B. The winning candidate is determined by majority voting, while the privacy of individual vote is preserved. Moreover, the decision is irrevocable in the sense that once the outcome is revealed, the winning candidate is guaranteed to have the funding from all n voters. As in previous works, each voter is incentivized to follow the protocol by being required to put a deposit in the system, which will be used as compensation if he deviates from the protocol. Our solution is similar to previous protocols used for lottery, but needs an additional phase to distribute secret random numbers via zero-knowledge-proofs. Moreover, we have resolved a security issue in previous protocols that could prevent compensation from being paid.
History of the FIGO cancer staging system.

The main objectives of any good staging system - essential to an evidence-based approach to cancer - are: to aid the clinician in planning treatment; to provide indication of prognosis; to assist the physician in evaluating the results of treatment; to facilitate the exchange of information between treatment centers, thus disseminating knowledge; and to contribute to continuing investigations into human malignancies. A good staging system must have 3 basic characteristics: it must be valid, reliable, and practical. The first staging system for gynecological cancers appeared around the turn of the 20th century and applied to the carcinoma of the cervix uteri-the most common cancer affecting women in high income countries at that time. The classification and staging of the other gynecological malignancies was not put forward until the 1950s. Over the years, these staging classifications - with the exception of cervical cancer and gestational trophoblastic neoplasia - have shifted from a clinical to a surgical-pathological basis. This paper reviews the history of the International Federation of Gynecology and Obstetrics (FIGO) cancer staging system, how it was developed, and why.
On Inter-Reality Literacy: Emotions as Predictors of Performance in Virtual Worlds

Virtual worlds, set-up on the Internet, occur as a highly complex form of visual media. They foreshadow future developments, not only in leisure settings, but also in health care and business environments. The interaction between real-life and virtual worlds, i.e., inter-reality, has recently moved to the center of scientific interest (Bainbridge 2007). Particularly, the empirical assessment of the value of virtual embodiment and its outcomes is needed (Schultze 2010). Here, this paper aims to make a contribution. Reviewing prior media theories and corresponding conceptualizations such as presence, immersion, media literacy and emotions, we argue that in inter-reality, individual differences in perceiving and dealing with one’s own and other’s emotions influence an individual's performance. Providing construct operationalizations and model propositions, we suggest testing the theory in the context of competitive and socially interactive virtual worlds.
A CEP Babelfish: Languages for Complex Event Processing and Querying Surveyed

Complex Event Processing (CEP) denotes algorithmic method s for making sense of events by deriving higher-level knowledge, or c omplex events, from lower-level events in a timely fashion and permanently. At t he core of CEP are queries continuously monitoring the incoming stream of “si mple” events and recognizing “complex” events from these simple events. Event q ueries monitoring incoming streams of simple events serve as specification of sit uations that manifest themselves as certain combinations of simple events occurr ing, or not occurring, over time and that cannot be detected solely from one or parts of the single events involved. Special purpose Event Query Languages (EQLs) have been deve lop d for the expression of the complex events in a convenient, concise, eff ctive and maintainable manner. This chapter identifies five language styles for CEP, namelycomposition operators, data stream query languages, production rules, timed state machines, and logic languages,describes their main traits, illustrates them on a sensor ne twork use case and discusses suitable application areas of ea ch language style.
Automated face recognition of rhesus macaques

Rhesus macaques are widely used in biomedical research. Automated behavior monitoring can be useful in various fields (including neuroscience), as well as having applications to animal welfare but current technology lags behind that developed for other species. One difficulty facing developers is the reliable identification of individual macaques within a group especially as pair- and group-housing of macaques becomes standard. Current published methods require either implantation or wearing of a tracking device.


NEW METHOD
I present face recognition, in combination with face detection, as a method to non-invasively identify individual rhesus macaques in videos. The face recognition method utilizes local-binary patterns in combination with a local discriminant classification algorithm.



A classification accuracy of between 90 and 96% was achieved for four different groups. Group size, number of training images and challenging image conditions such as high contrast all had an impact on classification accuracy. I demonstrate that these methods can be applied in real time using standard affordable hardware and a potential application to studies of social structure.


COMPARISON WITH EXISTING METHOD(S)
Face recognition methods have been reported for humans and other primate species such as chimpanzees but not rhesus macaques. The classification accuracy with this method is comparable to that for chimpanzees. Face recognition has the advantage over other methods for identifying rhesus macaques such as tags and collars of being non-invasive.



This is the first reported method for face recognition of rhesus macaques, has high classification accuracy and can be implemented in real time.
The use of RFID sensor tags for perishable products monitoring in logistics operations

Transportation of perishable products increased in volume in the last decades and imposes new challenges to today's logistics operations. Because of the spoilage risk of the transported items, certain conditions (e.g., temperature, humidity, vibration, etc.) must be maintained during the transportation phase. Failure to maintain the required conditions may lead to product spoilage and delivery disturbances. This work considers a multi-echelon supply chain model composed of one producer and multiple customers and contrasts the performance of the logistics operations when RFID and sensing technologies are employed and when they are not. The simulation models of the two scenarios result in as much as nine different outcomes, which are presented in the form of good practice recommendations.
Quantum cryptography: Overview, security issues and future challenges

In recent years Quantum Cryptography gets more attention as well as becomes most promising cryptographic field for faster, effective and more secure communications. Quantum Cryptography is an art of science which overlap quantum properties of light under quantum mechanics on cryptographic task instead of current state of algorithms based on mathematical computing technology. Major algorithms for public key encryption and some digital signature scheme such as RSA, El Gamal cryptosystem, hash function are vulnerable at quantum adversaries. Most of the factoring problem can be broken by Shore's algorithm and quantum computer threatens other hand discrete logarithm problem. Our paper describes why modern cryptography contributes quantum cryptography, security issues and future goals of modern cryptography.
Neutrophil extracellular traps in cancer progression

Neutrophils are being increasingly recognized as an important element in tumor progression. They have been shown to exert important effects at nearly every stage of tumor progression with a number of studies demonstrating that their presence is critical to tumor development. Novel aspects of neutrophil biology have recently been elucidated and its contribution to tumorigenesis is only beginning to be appreciated. Neutrophil extracellular traps (NETs) are neutrophil-derived structures composed of DNA decorated with antimicrobial peptides. They have been shown to trap and kill microorganisms, playing a critical role in host defense. However, their contribution to tumor development and metastasis has recently been demonstrated in a number of studies highlighting NETs as a potentially important therapeutic target. Here, studies implicating NETs as facilitators of tumor progression and metastasis are reviewed. In addition, potential mechanisms by which NETs may exert these effects are explored. Finally, the ability to target NETs therapeutically in human neoplastic disease is highlighted.