LLukas22/scidocs huggingface dataset:
The Effects of Domain Experience and Task Presentation Format on Accountants' Information Relevance Assurance

Information relevance advisory services offer growth opportunities for accountants in CPA firms, but we know little about the types of knowledge needed to provide high-quality advice. In a two-stage experiment, accountants with different management and public accounting experiences (that we suggest lead to different ypes of knowledge) receive task information in alternative formats, and develop relevant information for a client's decision. We find that participants are more likely to choose an appropriate problem representation when they receive an appropriate task format or when they have more management or public accounting experience (stage one). Also, when participants choose an appropriate problem representation, more management accounting experience improves their development of relevant information, but more public accounting experience does not (stage two). Our results suggest that tailored task presentation and domain experience that We acknowledge the helpful comments of Michael Bamber, Lisa Koonce, Bob Libby, Marlys Lipe, Joan Luft, Marjorie Shelley, Geoff Sprinkle, two anonymous reviewers, accounting workshop participants at Cornell University, the University of Georgia, the University of Notre Dame, and the University of Southern California, and participants at the Management Accounting Research 2000 Conference. The authors are indebted to Hadassah Baum, Dick Fremgen, Ken Milani, Fred Mittelstaedt, to the members of the AICPA, auditors from a national accounting firm, and Executive M.B.A. students from the University of Notre Dame who participated in the experiment. We are grateful to JoonMo Ahn, Erica Mielke, and Steven Smyth for their able research assistance. Professor Vera-Mufloz acknowledges financial support by Ernst & Young LLP and Grant Thornton LLP through the Department of Accountancy, University of Notre Dame; Professor Kinney acknowledges financial support by the Center for Business Measurement and Assurance Services at The University of Texas at Austin; and Professor Bonner acknowledges financial support from BDO Seidman, LLP. Submitted September 1999 Accepted February 2001
5-GHz CMOS radio transceiver front-end chipset

Incorporating the direct-conversion architecture, a 5-GHz band radio transceiver front end chipset for wireless LAN applications is implemented in a 0.25-/spl mu/m CMOS technology. The 4-mm/sup 2/ 5.25-GHz receiver IC contains a low noise amplifier with 2.5-dB noise figure (NF) and 16-dB power gain, a receive mixer with 12.0 dB single sideband NF, 13.7-dB voltage gain, and -5 dBm input 1-dB compression point. The 2.7-mm/sup 2/ transmitter IC achieves an output 1-dB compression of -2.5 dBm at 5.7 GHz with 33.4-dB (image) sideband rejection by using an integrated quadrature voltage-controlled oscillator. Operating from a 3-V supply, the power consumptions for the receiver and transmitter are 114 and 120 mW, respectively.
Quantum statistical mechanics over function fields

In this paper we construct a noncommutative space of “pointed Drinfeld modules” that generalizes to the case of function fields the noncommutative spaces of commensurability classes of Q-lattices. It extends the usual moduli spaces of Drinfeld modules to possibly degenerate level structures. In the second part of the paper we develop some notions of quantum statistical mechanics in positive characteristic and we show that, in the case of Drinfeld modules of rank one, there is a natural time evolution on the associated noncommutative space, which is closely related to the positive characteristic L-functions introduced by Goss. The points of the usual moduli space of Drinfeld modules define KMS functionals for this time evolution. We also show that the scaling action on the dual system is induced by a Frobenius action, up to a Wick rotation to imaginary time. © 2006 Elsevier Inc. All rights reserved.
Would artificial neural networks implemented in clinical wards help nephrologists in predicting epoetin responsiveness?

BACKGROUND
Due to its strong intra- and inter-individual variability, predicting the ideal erythropoietin dose is a difficult task. The aim of this study was to re-evaluate the impact of the main parameters known to influence the responsiveness to epoetin beta and to test the performance of artificial neural networks (ANNs) in predicting the dose required to reach the haemoglobin target and the monthly dose adjustments.


METHODS
We did a secondary analysis of the survey on Anaemia Management in dialysis patients in Switzerland; a prospective, non-randomized observational study, enrolling 340 patients of 26 centres and in order to have additional information about erythropoietin responsiveness, we included a further 92 patients from the Renal Services of the Ente Ospedaliero Cantonale, Bellinzona, Switzerland. The performance of ANNs in predicting the epoetin dose was compared with that of linear regressions and of nephrologists in charge of the patients.


RESULTS
For a specificity of 50%, the sensitivity of ANNs compared with linear regressions in predicting the erythropoietin dose to reach the haemoglobin target was 78 vs. 44% (P < 0.001). The ANN built to predict the monthly adaptations in erythropoietin dose, compared with the nephrologists' opinion, allowed to detect 48 vs. 25% (P < 0.05) of the patients treated with an insufficient dose with a specificity of 92 vs. 83% (P < 0.05).


CONCLUSION
In predicting the erythropoietin dose required for an individual patient and the monthly dose adjustments ANNs are superior to nephrologists' opinion. Thus, ANN may be a useful and promising tool that could be implemented in clinical wards to help nephrologists in prescribing erythropoietin.
Clusters of sirenomelia in South America.

BACKGROUND
One hospital in the city of Cali, Colombia, of the ECLAMC (Latin-American Collaborative Study of Congenital Malformations) network, reported the unusual occurrence of four cases of sirenomelia within a 55-day period.


METHODS
An ECLAMC routine for cluster evaluation (RUMOR) was followed that included: calculations of observed/expected ratios, site visits, comparison with comprehensively collected local, South American, and worldwide data, cluster analysis, and search for risk factors.


RESULTS
All four Cali sirenomelia cases were born to mothers living in a 2 km(2) area, in neighboring communes, within the municipality of Cali. Considering the total births of the city of Cali as the denominator, and based on ECLAMC baseline birth prevalence rates (per 100,000) for sirenomelia (2.25, 95% CI: 2.66, 3.80), the cluster for this congenital abnormality was unlikely to have occurred by chance (observed/expected ratio = 5.77; 95% CI: 1.57-14.78; p = .002). No consistent common factor was identified, but vicinity to an open landfill as the cause could not be rejected. Another ECLAMC hospital in San Justo, Buenos Aires, Argentina, reported three further cases but these did not seem to constitute a nonrandom cluster.


CONCLUSIONS
The methodology used to evaluate the two possible clusters of sirenomelia determined that the Cali sirenomelia cluster was unlikely to have occurred by chance whereas the sirenomelia cluster from San Justo seemed to be random.
2 The importance of teacher – student relationships , as explored through the lens of the NSW Quality Teaching Model

This paper aims to address the importance of supportive teacher–student interactions within the learning environment. This will be explored through the three elements of the NSW Quality Teaching Model; Intellectual Quality, Quality Learning Environment and Significance. The paper will further observe the influences of gender on the teacher–student relationship, as well as the impact that this relationship has on student academic outcomes and behaviour. Teacher–student relationships have been found to have immeasurable effects on students’ learning and their schooling experience. This paper examines the ways in which educators should plan to improve their interactions with students, in order to allow for quality learning. This journal article is available in Journal of Student Engagement: Education Matters: http://ro.uow.edu.au/jseem/vol2/iss1/2 Journal of Student Engagement: Education matters 2012, 2 (1), 2–9 Lauren Liberante 2 The importance of teacher–student relationships, as explored through the lens of the NSW Quality Teaching Model
The effectiveness of 1-point fixation for zygomaticomaxillary complex fractures.

OBJECTIVES
To introduce the surgical technique of 1-point fixation at the zygomaticomaxillary buttress (ZMB) and to verify its effectiveness using 3-dimensional computed tomography (3D CT).


DESIGN
Case series with chart review.


SETTING
Academic tertiary care medical center.


PATIENTS AND METHODS
The study included 29 patients who underwent 1-point fixation at the ZMB for zygomaticomaxillary complex fractures without comminution of lateral orbital rim fractures. Preoperative and postoperative 3D CT scans were obtained to evaluate vertical and horizontal changes of the zygoma, which were were analyzed according to preoperative 3D CT findings.


RESULTS
The ZMB area was fixed with a resorbable system in 26 patients and with a metal system in 3 patients. After surgery, the mean vertical change improved from 1.28° to 0.58° (P < .001), and the mean horizontal change improved from 1.71° to 0.92° (P < .001). Postoperative vertical movement of the zygoma was not significantly affected by comminution of the inferior orbital wall, zygomaticofrontal process displacement, or comminution of the ZMB area and zygomatic arch (P > .05 for each). However, comminution of the ZMB area had an adverse effect on horizontal movement of the zygoma (P = .03). Complications after surgery included facial cellulitis associated with acute sinusitis in 1 patient, who was treated successfully. No patient required revision reduction because of facial deformity.


CONCLUSION
Our findings suggest that 1-point fixation at the ZMB provides sufficient stability of the zygomaticomaxillary complex without comminuted fractures of the lateral orbital rim.
Optimal plasma progranulin cutoff value for predicting null progranulin mutations in neurodegenerative diseases: a multicenter Italian study.

BACKGROUND
Recently, attention was drawn to a role for progranulin in the central nervous system with the identification of mutations in the progranulin gene (GRN) as an important cause of frontotemporal lobar degeneration. GRN mutations are associated with a strong reduction of circulating progranulin and widely variable clinical phenotypes: thus, the dosage of plasma progranulin is a useful tool for a quick and inexpensive large-scale screening of carriers of GRN mutations.


OBJECTIVE
To establish the best cutoff threshold for normal versus abnormal levels of plasma progranulin.


METHODS
309 cognitively healthy controls (25-87 years of age), 72 affected and unaffected GRN+ null mutation carriers (24-86 years of age), 3 affected GRN missense mutation carriers, 342 patients with neurodegenerative diseases and 293 subjects with mild cognitive impairment were enrolled at the Memory Clinic, IRCCS S. Giovanni di Dio-Fatebenefratelli, Brescia, Italy, and at the Alzheimer Unit, Ospedale Maggiore Policlinico and IRCCS Istituto Neurologico C. Besta, Milan, Italy. Plasma progranulin levels were measured using an ELISA kit (AdipoGen Inc., Seoul, Korea).


RESULTS
Plasma progranulin did not correlate with age, gender or body mass index. We established a new plasma progranulin protein cutoff level of 61.55 ng/ml that identifies, with a specificity of 99.6% and a sensitivity of 95.8%, null mutation carriers among subjects attending to a memory clinic. Affected and unaffected GRN null mutation carriers did not differ in terms of circulating progranulin protein (p = 0.686). A significant disease anticipation was observed in GRN+ subjects with the lowest progranulin levels.


CONCLUSION
We propose a new plasma progranulin protein cutoff level useful for clinical practice.
Machine Reading

Over the last two decades or so, Natural Language Processing (NLP) has developed powerful methods for low-level syntactic and semantic text processing tasks such as parsing, semantic role labeling, and text categorization. Over the same period, the fields of machine learning and probabilistic reasoning have yielded important breakthroughs as well. It is now time to investigate how to leverage these advances to understand text.
A report of 918 cases of circumcision with the Shang Ring: comparison between children and adults.

OBJECTIVE
To compare the clinical outcome and surgical complications in circumcision using the Shang Ring between children and adults.


METHODS
Circumcision using the Shang Ring was performed on 702 adults and 216 children. Comparative analysis on indices including operative time, healing time, postoperative edema, postoperative bleeding, postoperative pain, and postoperative infection was conducted.


RESULTS
When the ring was removed after surgery, the pain was tolerable in the adult group, but more substantial in the child group. The optimal time for removing the ring was 2 weeks after surgery.


CONCLUSION
Special attention to the pain management is needed when using the Shang Ring to treat redundant foreskin or phimosis in children. The timing of the ring removal is critical to avoiding complications. Surgeons' knowledge in urology is also critical to the clinical outcome.
A simple proof of a theorem on (2n)-weak amenability

A simple proof of (2n)-weak amenability of the triangular Banach algebra T= [(A A) (0 A)] is given where A is a unital C*-algebra.
Pulse Width Modulation for Current Source Converters – A Detailed Concept

Abstract – The current source converter represents the dual counter part to the better known and more frequently used voltage source converter. As such due to duality rules many offthe-shelf solutions concerning the VSC can be used in a modified manner to handle the CSC. This work gives a comprehensive overview of CSC PWM methods and shows how they are to be distinguished. Then based on duality considerations a complete recipe is given on how to utilise usual micro controller peripherals along with some logic elements to achieve the most significant PWM methods with little effort.
A novel technique for VMAT QA with EPID in cine mode on a Varian TrueBeam linac.

Volumetric modulated arc therapy (VMAT) is a relatively new treatment modality for dynamic photon radiation therapy. Pre-treatment quality assurance (QA) is necessary and many efforts have been made to apply electronic portal imaging device (EPID)-based IMRT QA methods to VMAT. It is important to verify the gantry rotation speed during delivery as this is a new variable that is also modulated in VMAT. In this paper, we present a new technique to perform VMAT QA using an EPID. The method utilizes EPID cine mode and was tested on Varian TrueBeam in research mode. The cine images were acquired during delivery and converted to dose matrices after profile correction and dose calibration. A sub-arc corresponding to each cine image was extracted from the original plan and its portal image prediction was calculated. Several analyses were performed including 3D γ analysis (2D images + gantry angle axis), 2D γ analysis, and other statistical analyses. The method was applied to 21 VMAT photon plans of 3 photon energies. The accuracy of the cine image information was investigated. Furthermore, this method's sensitivity to machine delivery errors was studied. The pass rate (92.8 ± 1.4%) for 3D γ analysis was comparable to those from Delta(4) system (99.9 ± 0.1%) under similar criteria (3%, 3 mm, 5% threshold and 2° angle to agreement) at 6 MV. The recorded gantry angle and start/stop MUs were found to have sufficient accuracy for clinical QA. Machine delivery errors can be detected through combined analyses of 3D γ, gantry angle, and percentage dose difference. In summary, we have developed and validated a QA technique that can simultaneously verify the gantry angle and delivered MLC fluence for VMAT treatment.This technique is efficient and its accuracy is comparable to other QA methods.
A survey of Internet-of-Things: Future vision, architecture, challenges and services

Internet-of-Things (IoT) is the convergence of Internet with RFID, Sensor and smart objects. IoT can be defined as “things belonging to the Internet” to supply and access all of real-world information. Billions of devices are expected to be associated into the system and that shall require huge distribution of networks as well as the process of transforming raw data into meaningful inferences. IoT is the biggest promise of the technology today, but still lacking a novel mechanism, which can be perceived through the lenses of Internet, things and semantic vision. This paper presents a novel architecture model for IoT with the help of Semantic Fusion Model (SFM). This architecture introduces the use of Smart Semantic framework to encapsulate the processed information from sensor networks. The smart embedded system is having semantic logic and semantic value based Information to make the system an intelligent system. This paper presents a discussion on Internet oriented applications, services, visual aspect and challenges for Internet of things using RFID, 6lowpan and sensor networks.
Large-Scale Event Extraction from Literature with Multi-Level Gene Normalization

Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts. To provide comprehensive coverage and enable full integration with existing biomolecular database records, it is crucial that text mining tools scale up to millions of articles and that their analyses can be unambiguously linked to information recorded in resources such as UniProt, KEGG, BioGRID and NCBI databases. In this study, we investigate how fully automated text mining of complex biomolecular events can be augmented with a normalization strategy that identifies biological concepts in text, mapping them to identifiers at varying levels of granularity, ranging from canonicalized symbols to unique gene and proteins and broad gene families. To this end, we have combined two state-of-the-art text mining components, previously evaluated on two community-wide challenges, and have extended and improved upon these methods by exploiting their complementary nature. Using these systems, we perform normalization and event extraction to create a large-scale resource that is publicly available, unique in semantic scope, and covers all 21.9 million PubMed abstracts and 460 thousand PubMed Central open access full-text articles. This dataset contains 40 million biomolecular events involving 76 million gene/protein mentions, linked to 122 thousand distinct genes from 5032 species across the full taxonomic tree. Detailed evaluations and analyses reveal promising results for application of this data in database and pathway curation efforts. The main software components used in this study are released under an open-source license. Further, the resulting dataset is freely accessible through a novel API, providing programmatic and customized access (http://www.evexdb.org/api/v001/). Finally, to allow for large-scale bioinformatic analyses, the entire resource is available for bulk download from http://evexdb.org/download/, under the Creative Commons - Attribution - Share Alike (CC BY-SA) license.
New Dynamic Battery Model for Hybrid Vehicles

Battery storage (BS) systems are static energy conversion units that convert the chemical energy directly into electrical energy. They exist in our cars, laptops, electronic appliances, micro electricity generation systems and in many other mobile to stationary power supply systems. The economic advantages, partial sustainability and the portability of these units pose promising substitutes for backup power systems for hybrid vehicles and hybrid electricity generation systems. Dynamic behaviour of these systems can be analysed by using mathematical modeling and simulation software programs. Though, there have been many mathematical models presented in the literature and proved to be successful, dynamic simulation of these systems are still very exhaustive and time consuming as they do not behave according to specific mathematical models or functions. The charging and discharging of battery functions are a combination of exponential and non-linear nature. The aim of this research paper is to present a suitable convenient, dynamic battery model that can be used to model a general BS system. Proposed model is a new modified dynamic Lead-Acid battery model considering the effect of temperature and cyclic charging and discharging effects. Simulink has been used to study the characteristics of the system and the proposed system has proved to be very successful as the simulation results have been very good. Keywords—Simulink Matlab, Battery Model, Simulation, BS Lead-Acid, Dynamic modeling, Temperature effect, Hybrid Vehicles.
Psychological effects of false-positive results in cystic fibrosis newborn screening: a two-year follow-up.

OBJECTIVE
To evaluate parental stress after a false-positive result at the time of the cystic fibrosis (CF) newborn screening (NBS), attributable to heterozygotism or persistent hypertrypsinemia.


STUDY DESIGN
A prospective study was conducted in 86 French families at 3, 12, and 24 months after NBS. A psychologist conducted interviews with a questionnaire, the Perceived Stress Scale, and the Vulnerable Child Scale.


RESULTS
Overall, 96.5% of parents said they had been anxious at the time of the sweat test. However, 86% felt entirely reassured 3 months after the test. The mean Perceived Stress Scale score did not differ from that observed in the French population. Mean Vulnerable Child Scale scores were high, associated with a low Parental Perception of Child Vulnerability. These results did not differ significantly at 1 and 2 years. In total, 86% to 100% of families no longer worried about CF. All parents stated that they would have the test performed again for another child.


CONCLUSIONS
CF NBS can lead to false-positive results, causing parental anxiety, which quickly decreases after a sweat test performed soon after the phone call.
Dose escalation for prostate cancer using the three-dimensional conformal dynamic arc technique: analysis of 542 consecutive patients.

PURPOSE
To present the results of dose escalation using three-dimensional conformal dynamic arc radiotherapy (3D-ART) for prostate cancer.


METHODS AND MATERIALS
Five hundred and forty two T1-T3N0M0 prostate cancer patients were treated with 3D-ART. Dose escalation (from 76 Gy/38 fractions to 80 Gy/40 fractions) was introduced in September 2003; 32% of patients received 80 Gy. In 366 patients, androgen deprivation was added to 3D-ART. Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer criteria and Houston definition (nadir + 2) were used for toxicity and biochemical failure evaluation, respectively. Median follow-up was 25 months.


RESULTS
Acute toxicity included rectal (G1-2 28.9%; G3 0.5%) and urinary events (G1-2 57.9%; G3-4 2.4%). Late toxicity included rectal (G1-2 15.8%; G3-4 3.1%) and urinary events (G1-2 26.9%; G3-4 1.6%). Two-year failure-free survival and overall survival rates were 94.1% and 97.9%, respectively. Poor prognostic group (GS, iPSA, T), transurethral prostate resection, and dose >76 Gy showed significant association to high risk of progression in multivariate analysis (p = 0.014, p = 0.045, and p = 0.04, respectively). The negative effect of dose >76 Gy was not observed (p = 0.10), when the analysis was limited to 353 patients treated after September 2003 (when dose escalation was introduced). Higher dose was not associated with higher late toxicity.


CONCLUSIONS
Three-dimensional-ART is a feasible modality allowing for dose escalation (no increase in toxicity has been observed with higher doses). However, the dose increase from 76 to 80 Gy was not associated with better tumor outcome. Further investigation is warranted for better understanding of the dose effect for prostate cancer.