LLukas22/scidocs huggingface dataset:
Trans-corporal incision of Peyronie's plaques.

INTRODUCTION
Patients presenting with Peyronie's disease (PD) curvature and erectile dysfunction (ED) can achieve straightening and rigidity through penile prosthesis implantation and manual modeling and, if necessary, a relaxing tunical incision with or without grafting. Unfortunately, this maneuver will not correct PD-induced shortening. In addition, incision and grafting after the prosthesis has already been implanted adds to operative time and risk, and may indicate mobilization of the neurovascular bundle and, possibly, a secondary skin incision.


AIM
This work describes trans-corporal incision (TCI), a minimally invasive endoscopic approach for plaque incision from within the corpora cavernosa, restoring straightness and length to the penis, before calibration of the corpora cavernosa, allowing implantation of a longer prosthesis in a straight penis, with neither mobilizing the neurovascular bundle nor a secondary incision.


METHODS
Sixteen patients with PD deformity and refractory ED were operated upon. Intra-operative artificial erection demonstrated the deformity. Through a penoscrotal incision, the corpora were dilated. TCI was performed to incise Peyronie's plaques at the point of maximum deformity. Artificial erection was re-induced and correction of curvature evaluated. Length was measured before and after TCI. Implantation proceeded as usual.


MAIN OUTCOME MEASURES
Penile straightness and length.


RESULTS
Following implantation, the penis was straight in all cases. Pre-TCI length of the corpora was unequal on either side. Post-TCI, both corpora were of equal length with an average increase of 2.5 cm (11.9%) on the right side and 1.9 (9.1%) on the left.


CONCLUSION
TCI; corporoscopic incision of Peyronie's plaques upon implantation of penile prosthesis is a minimally invasive approach that restores both straightness and length to patients with PD and ED, with neither mobilization of the neurovascular bundle nor plaque incision and grafting.
Support and mistreatment by public school principals as experienced by teachers: A statewide survey

SUPPORT AND MISTREATMENT BY PUBLIC SCHOOL PRINCIPALS AS EXPERIENCED BY TEACHERS: A STATEWIDE SURVEY by Diane Sue Burnside Huffman Skillful teachers are key to developing good schools. Because of this, understanding the school as a workplace is necessary to investigate why teachers leave and what encourages them to stay. The relationship between the principal, as the boss, and the teacher, as the employee, is one underresearched component of the school workplace which is important for developing a broad understanding of teacher turnover. This cross-sectional study uses a definition of principal mistreatment behaviors from the literature in the development of an original mixed method survey and a random sample of teachers from public schools in the State of Ohio to investigate how often principal mistreatment behaviors are experienced by a random sample of teachers in K-12 public schools. Mistreatment behaviors were paired with an opposite principal support behavior using Likert-style response options and were specifically focused on the 2012-2013 school year. Openended questions were included which asked for more general experience with principal mistreatment behaviors, effects on the teachers health, opinions about school culture and student bullying, and the effects of principal treatment behaviors on the teachers sense of efficacy and job satisfaction. The result of the study suggests that principal mistreatment and lack of support behaviors are widely experienced by teachers in the sample; however, these behaviors occur at a low frequency. Almost half of the teacher experienced severe level principal mistreatment behaviors, as defined by past research, during the school year. Mistreatment behaviors experienced by teachers resulted in a variety of teacher’s health concerns. A majority of teachers considered the principal-teacher relationship as an important factor in their sense of efficacy and job satisfaction. It is recommended that the education of future teachers and principals include a model of administration leadership which is developed by actual teacher experience. Further research is warranted. SUPPORT AND MISTREATMENT BY PUBLIC SCHOOL PRINCIPALS AS EXPERIENCED BY TEACHERS: A STATEWIDE SURVEY A Dissertation Submitted to the Faculty of Miami University in partial fulfillment of the requirements
Haematopoietic stem cells and early lymphoid progenitors occupy distinct bone marrow niches

Although haematopoietic stem cells (HSCs) are commonly assumed to reside within a specialized microenvironment, or niche, most published experimental manipulations of the HSC niche have affected the function of diverse restricted progenitors. This raises the fundamental question of whether HSCs and restricted progenitors reside within distinct, specialized niches or whether they share a common niche. Here we assess the physiological sources of the chemokine CXCL12 for HSC and restricted progenitor maintenance. Cxcl12DsRed knock-in mice (DsRed-Express2 recombined into the Cxcl12 locus) showed that Cxcl12 was primarily expressed by perivascular stromal cells and, at lower levels, by endothelial cells, osteoblasts and some haematopoietic cells. Conditional deletion of Cxcl12 from haematopoietic cells or nestin–cre-expressing cells had little or no effect on HSCs or restricted progenitors. Deletion of Cxcl12 from endothelial cells depleted HSCs but not myeloerythroid or lymphoid progenitors. Deletion of Cxcl12 from perivascular stromal cells depleted HSCs and certain restricted progenitors and mobilized these cells into circulation. Deletion of Cxcl12 from osteoblasts depleted certain early lymphoid progenitors but not HSCs or myeloerythroid progenitors, and did not mobilize these cells into circulation. Different stem and progenitor cells thus reside in distinct cellular niches in bone marrow: HSCs occupy a perivascular niche and early lymphoid progenitors occupy an endosteal niche.
Usage of Complementary and Alternative Medicine (CAM) among osteoarthritis patients attending an urban multi-specialist hospital in Lagos, Nigeria.

BACKGROUND
Osteoarthritis (OA), a chronic degenerative disease of synovial joints is characterised by pain and stiffness. Aim of treatment is pain relief. Complementary and alternative medicine (CAM) refers to practices which are not an integral part of orthodox medicine.


AIMS AND OBJECTIVES
To determine the pattern of usage of CAM among OA patients in Nigeria.


PATIENTS AND METHODS
Consecutive patients with OA attending orthopaedic clinic of Havana Specialist Hospital, Lagos, Nigeria were interviewed over a 6- month period st st of 1 May to 31 October 2007 on usage of CAM. Structured and open-ended questions were used. Demographic data, duration of OA and treatment as well as compliance to orthodox medications were documented.


RESULTS
One hundred and sixty four patients were studied.120 (73.25%) were females and 44(26.89%) were males. Respondents age range between 35-74 years. 66(40.2%) patients used CAM. 35(53.0%) had done so before presenting to the hospital. The most commonly used CAM were herbal products used by 50(75.8%) of CAM users. Among herbal product users, 74.0% used non- specific local products, 30.0% used ginger, 36.0% used garlic and 28.0% used Aloe Vera. Among CAM users, 35(53.0%) used local embrocation and massage, 10(15.2%) used spiritual methods. There was no significant difference in demographics, clinical characteristics and pain control among CAM users and non-users.


CONCLUSION
Many OA patients receiving orthodox therapy also use CAM. Medical doctors need to keep a wary eye on CAM usage among patients and enquire about this health-seeking behaviour in order to educate them on possible drug interactions, adverse effects and long term complications.
Learning with Latent Language

The named concepts and compositional operators present in natural language provide a rich source of information about the kinds of abstractions humans use to navigate the world. Can this linguistic background knowledge improve the generality and efficiency of learned classifiers and control policies? This paper aims to show that using the space of natural language strings as a parameter space is an effective way to capture natural task structure. In a pretraining phase, we learn a language interpretation model that transforms inputs (e.g. images) into outputs (e.g. labels) given natural language descriptions. To learn a new concept (e.g. a classifier), we search directly in the space of descriptions to minimize the interpreter’s loss on training examples. Crucially, our models do not require language data to learn these concepts: language is used only in pretraining to impose structure on subsequent learning. Results on image classification, text editing, and reinforcement learning show that, in all settings, models with a linguistic parameterization outperform those without.1
Comparison of prone positioning and high-frequency oscillatory ventilation in patients with acute respiratory distress syndrome.

OBJECTIVE
Both prone position and high-frequency oscillatory ventilation (HFOV) have the potential to facilitate lung recruitment, and their combined use could thus be synergetic on gas exchange. Keeping the lung open could also potentially be lung protective. The aim of this study was to compare physiologic and proinflammatory effects of HFOV, prone positioning, or their combination in severe acute respiratory distress syndrome (ARDS).


DESIGN
: Prospective, comparative randomized study.


SETTING
A medical intensive care unit.


PATIENTS
Thirty-nine ARDS patients with a Pao2/Fio2 ratio <150 mm Hg at positive end-expiratory pressure > or =5 cm H2O.


INTERVENTIONS
After 12 hrs on conventional lung-protective mechanical ventilation (tidal volume 6 mL/kg of ideal body weight, plateau pressure not exceeding the upper inflection point, and a maximum of 35 cm H2O; supine-CV), 39 patients were randomized to receive one of the following 12-hr periods: conventional lung-protective mechanical ventilation in prone position (prone-CV), HFOV in supine position (supine-HFOV), or HFOV in prone position (prone-HFOV).


MEASUREMENTS AND MAIN RESULTS
Prone-CV (from 138 +/- 58 mm Hg to 217 +/- 110 mm Hg, p < .0001) and prone-HFOV (from 126 +/- 40 mm Hg to 227 +/- 64 mm Hg, p < 0.0001) improved the Pao2/Fio2 ratio whereas supine-HFOV did not alter the Pao2/Fio2 ratio (from 134 +/- 57 mm Hg to 138 +/- 48 mm Hg). The oxygenation index ({mean airway pressure x Fio2 x 100}/Pao2) decreased in the prone-CV and prone-HFOV groups and was lower than in the supine-HFOV group. Interleukin-8 increased significantly in the bronchoalveolar lavage fluid (BALF) in supine-HFOV and prone-HFOV groups compared with prone-CV and supine-CV. Neutrophil counts were higher in the supine-HFOV group than in the prone-CV group.


CONCLUSIONS
Although HFOV in the supine position does not improve oxygenation or lung inflammation, the prone position increases oxygenation and reduces lung inflammation in ARDS patients. Prone-HFOV produced similar improvement in oxygenation like prone-CV but was associated with higher BALF indexes of inflammation. In contrast, supine-HFOV did not improve gas exchange and was associated with enhanced lung inflammation.
Comparing Extant Story Classifiers: Results & New Directions

Having access to a large set of stories is a necessary first step for robust and wide-ranging computational narrative modeling; happily, language data–including stories–are increasingly available in electronic form. Unhappily, the process of automatically separating stories from other forms of written discourse is not straightforward, and has resulted in a data collection bottleneck. Therefore researchers have sought to develop reliable, robust automatic algorithms for identifying story text mixed with other non-story text. In this paper we report on the reimplementation and experimental comparison of the two approaches to this task: Gordon’s unigram classifier, and Corman’s semantic triplet classifier. We cross-analyze their performance on both Gordon’s and Corman’s corpora, and discuss similarities, differences, and gaps in the performance of these classifiers, and point the way forward to improving their approaches. 1998 ACM Subject Classification I.2.7 Natural Language Processing: Language Models
Argumentative Zoning for Improved Citation Indexing

We address the problem of automatically classifying academic citations in scientific articles according to author affect. There are many ways how a citation might fit into the overall argumentation of the article: as part of the solution, as rival approach or as flawed approach that justifies the current research. Our motivation for this work is to improve citation indexing. The method we use for this task is machine learning from indicators of affect (such as “we follow X in assuming that...”, or “in contrast to Y, our system solves this problem”) and of presentation of ownership of ideas (such as “We present a new method for...”, or “They claim that...”). Some of these features are borrowed from Argumentative Zoning (Teufel & Moens 2002), a technique for determining the rhetorical status of each sentence in a scientific article. These features include the type of subject of the sentence, the citation type, the semantic class of main verb, and a list of indicator phrases. Evaluation will be both intrinsic and extrinsic, involving the measurement of human agreement on the task and a comparison of human and automatic evaluation, as well as a comparison of task-performance with our system versus task performance with a standard citation indexer (CiteSeer, (Lawrence, Giles, & Bollacker 1999)). Citation Indexing and Citation Maps Automatic indexing, as exemplified by the highly successful tool CiteSeer (Giles, Bollacker, & Lawrence 1998), has become the method of choice for literature searches; as a result, CiteSeer receives more than 8000 hits a day. CiteSeer automatically citation-indexes all scientific articles reached by a web-crawler, making them available to searchers via authors or keywords in the title. However, keywords are not everything in literature searches. Shum (1998) states that researchers, particularly experienced researchers, are often interested in relations between articles. They need to know if a certain article criticises another and what the criticism is, or if the current work is based on that prior work. This type of information is hard to come by with current search technology. Neither the author’s abstract, nor raw citation counts help users in assessing the relation between articles. And even though CiteCopyright c © 2004, American Association for Artificial Intelligence (www.aaai.org). All rights reserved. Nitta and Niwa 94 Resnik 95 Brown et al. 90a Rose et al. 90 Church and Gale 91 Dagan et al. 94 Li and Abe 96
Finding comfort in a joke: consolatory effects of humor through cognitive distraction.

This study aimed to demonstrate that the cognitive demands involved in humor processing can attenuate negative emotions. A primary aspect of humor is that it poses cognitive demands needed for incongruency resolution. On the basis of findings that cognitive distraction prevents mood-congruent processing, the authors hypothesized that humorous stimuli attenuate negative emotions to a greater extent than do equally positive nonhumorous stimuli. To test this idea, the authors used a modified version of the picture-viewing paradigm of L. F. Van Dillen and S. L. Koole (2007). Participants viewed neutral, mildly negative, and strongly negative pictures, followed by either a humorous or an equally positive nonhumorous stimulus, and then rated their feelings. Participants reported less negative feelings in both mildly and strongly negative trials with humorous positive stimuli than with nonhumorous positive stimuli. Humor did not differentially affect emotions in the neutral trials. Stimuli that posed greater cognitive demands were more effective in regulating negative emotions than less demanding stimuli. These findings fully support Van Dillen and Koole's working memory model of distraction from negative mood and suggest that humor may attenuate negative emotions as a result of cognitive distraction.
Feature selection for text classification with Naïve Bayes

0957-4174/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.eswa.2008.06.054 * Corresponding author. Address: School of Compu ogy, Beijing Jiaotong University, Beijing 100044, Chin E-mail address: jnchen06@163.com (J. Chen). As an important preprocessing technology in text classification, feature selection can improve the scalability, efficiency and accuracy of a text classifier. In general, a good feature selection method should consider domain and algorithm characteristics. As the Naïve Bayesian classifier is very simple and efficient and highly sensitive to feature selection, so the research of feature selection specially for it is significant. This paper presents two feature evaluation metrics for the Naïve Bayesian classifier applied on multiclass text datasets: Multi-class Odds Ratio (MOR), and Class Discriminating Measure (CDM). Experiments of text classification with Naïve Bayesian classifiers were carried out on two multi-class texts collections. As the results indicate, CDM and MOR gain obviously better selecting effect than other feature selection approaches. 2008 Elsevier Ltd. All rights reserved.
Randomized trial comparing intravenous nitroglycerin and heparin for treatment of unstable angina secondary to restenosis after coronary artery angioplasty.

BACKGROUND
The treatment of unstable angina targets the specific pathophysiological thrombotic process at the site of the active culprit lesion. In unstable angina due to a restenotic lesion, smooth muscle cell proliferation and increased vasoreactivity may play a more important role than thrombus formation. Therefore, the relative benefits of nitroglycerin and heparin might differ in unstable angina associated with restenosis compared with classic unstable angina.


METHODS AND RESULTS
We randomized 200 patients hospitalized for unstable angina within 6 months after angioplasty (excluding those with intracoronary stents) to double-blind administration of intravenous nitroglycerin, heparin, their combination, or placebo for 63+/-30 hours. Recurrent angina occurred in 75% of patients in the placebo and heparin-alone groups, compared with 42.6% of patients in the nitroglycerin-alone group and 41.7% of patients in the nitroglycerin-plus-heparin group (P<0.003). Refractory angina requiring angiography occurred in 22.9%, 29.2%, 4. 3%, and 4.2% of patients, respectively (P<0.002). The odds ratios for being event free were 0.24 (95% CI, -0.13 to 0.45, P=0.0001) for nitroglycerin versus no nitroglycerin and 0.98 (95% CI, -0.55 to 1. 73, P=NS) for heparin versus no heparin. No patient died or suffered myocardial infarction.


CONCLUSIONS
Intravenous nitroglycerin is highly effective in preventing adverse ischemic events (recurrent or refractory angina) in patients with unstable angina secondary to restenosis, whereas heparin has no effect.
Short-term outcome of endoscopic versus microscopic pituitary adenoma surgery: a systematic review and meta-analysis

Endoscopic transsphenoidal pituitary surgery has become increasingly more popular for the removal of pituitary adenomas. It is also widely recognised that transsphenoidal microscopic removal of pituitary adenomas is a well-established procedure with good outcomes. Our objective was to meta-analyse the short-term results of endoscopic and microscopic pituitary adenoma surgery. We undertook a systematic review of the English literature on results of transsphenoidal surgery, both microscopic and endoscopic from 1990 to 2011. Series with less than 10 patients were excluded. Pooled data were analysed using meta-analysis techniques to obtain estimate of death, complication rates and extent of tumour removal. Complications evaluated included cerebrospinal fluid leak, meningitis, vascular complications, visual complications, diabetes insipidus, hypopituitarism and cranial nerve injury. Data were also analysed for tumour size and sex. 38 studies met the inclusion criteria yielding 24 endoscopic and 22 microscopic datasets (eight studies included both endoscopic and microscopic series). Meta-analysis of the available literature showed that the endoscopic transsphenoidal technique was associated with a higher incidence of vascular complications (p<0.0001). No difference was found between the two techniques in all other variables examined. Meta-analysis of the available literature reveals that endoscopic removal of pituitary adenoma, in the short term, does not seem to confer any advantages over the microscopic technique and the incidence of reported vascular complications was higher with endoscopic than with microscopic removal of pituitary adenomas. While we recognise the limitations of meta-analysis, our study suggests that a multicentre, randomised, comparative effectiveness study of the microscopic and endoscopic transsphenoidal techniques may be a reasonable approach towards establishing a true valuation of these techniques.
Quadratic Goldreich-Levin Theorems

Decomposition theorems in classical Fourier analysis enable us to express a bounded function in terms of few linear phases with large Fourier coefficients plus a part that is pseudorandom with respect to linear phases. The Gold Reich-Levin algorithm can be viewed as an algorithmic analogue of such a decomposition as it gives a way to efficiently find the linear phases associated with large Fourier coefficients. In the study of & quot; quadratic Fourier analysis & quot;, higher-degree analogues of such decompositions have been developed in which the pseudorandomness property is stronger but the structured part correspondingly weaker. For example, it has previously been shown that it is possible to express a bounded function as a sum of a few quadratic phases plus a part that is small in the $U^3$ norm, defined by Gowers for the purpose of counting arithmetic progressions of length 4. We give a polynomial time algorithm for computing such a decomposition. A key part of the algorithm is a local self-correction procedure for Reed-Muller codes of order 2 (over $\F_2^n$) for a function at distance $1/2-\epsilon$ from a codeword. Given a function $f:\F_2^n \to \{-1,1\}$ at fractional Hamming distance $1/2-\epsilon$ from a quadratic phase (which is a codeword of Reed-Muller code of order 2), we give an algorithm that runs in time polynomial in $n$ and finds a codeword at distance at most $1/2-\eta$ for $\eta = \eta(\epsilon)$. This is an algorithmic analogue of Samorodnitsky's result, which gave a tester for the above problem. To our knowledge, it represents the first instance of a correction procedure for any class of codes, beyond the list-decoding radius. In the process, we give algorithmic versions of results from additive combinatorics used in Samorodnitsky's proof and a refined version of the inverse theorem for the Gowers $U^3$ norm over $\F_2^n$ or a function at distance 1/2 -- episilon from a codeword. Given a function f : $\F_2^n$ right arrow { -- 1, 1} at fractional Hamming distance 1/2 -- epsilon " from a quadratic phase (which is a codeword of Reed-Muller code of order 2), we give an algorithm that runs in time polynomial in n and finds a codeword at distance at most 1.2 -- n for n = n (epsilon). This is an algorithmic analogue of Samorodnitsky's result [17], which gave a tester for the above problem. To our knowledge, it represents the first instance of a correction procedure for any class of codes, beyond the list-decoding radius..