LLukas22/scidocs huggingface dataset:
Comparative analysis of MR imaging, Ictal SPECT and EEG in temporal lobe epilepsy: a prospective IAEA multi-center study

MR imaging, ictal single-photon emission CT (SPECT) and ictal EEG play important roles in the presurgical localization of epileptic foci. This multi-center study was established to investigate whether the complementary role of perfusion SPECT, MRI and EEG for presurgical localization of temporal lobe epilepsy could be confirmed in a prospective setting involving centers from India, Thailand, Italy and Argentina. We studied 74 patients who underwent interictal and ictal EEG, interictal and ictal SPECT and MRI before surgery of the temporal lobe. In all but three patients, histology was reported. The clinical outcome was assessed using Engel’s classification. Sensitivity values of all imaging modalities were calculated, and the add-on value of SPECT was assessed. Outcome (Engel’s classification) in 74 patients was class I, 89%; class II, 7%; class III, 3%; and IV, 1%. Regarding the localization of seizure origin, sensitivity was 84% for ictal SPECT, 70% for ictal EEG, 86% for MRI, 55% for interictal SPECT and 40% for interictal EEG. Add-on value of ictal SPECT was shown by its ability to correctly localize 17/22 (77%) of the seizure foci missed by ictal EEG and 8/10 (80%) of the seizure foci not detected by MRI. This prospective multi-center trial, involving centers from different parts of the world, confirms that ictal perfusion SPECT is an effective diagnostic modality for correctly identifying seizure origin in temporal lobe epilepsy, providing complementary information to ictal EEG and MRI.
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization

Normalization techniques such as Batch Normalization have been applied successfully for training deep neural networks. Yet, despite its apparent empirical benefits, the reasons behind the success of Batch Normalization are mostly hypothetical. We here aim to provide a more thorough theoretical understanding from a classical optimization perspective. Our main contribution towards this goal is the identification of various problem instances in the realm of machine learning where Batch Normalization can provably accelerate optimization. We argue that this acceleration is due to the fact that Batch Normalization splits the optimization task into optimizing length and direction of the parameters separately. This allows gradient-based methods to leverage a favourable global structure in the loss landscape that we prove to exist in Learning Halfspace problems and neural network training with Gaussian inputs. We thereby turn Batch Normalization from an effective practical heuristic into a provably converging algorithm for these settings. Furthermore, we substantiate our analysis with empirical evidence that suggests the validity of our theoretical results in a broader context.
A dynamic understanding of customer behavior processes based on clustering and sequence mining

In this paper, a novel approach towards enabling the exploratory understanding of the dynamics inherent in the capture of customers’ data at different points in time is outlined. The proposed methodology combines state-of-art data mining clustering techniques with a tuned sequence mining method to discover prominent customer behavior trajectories in data bases, which — when combined — represent the ‘‘behavior process’’ as it is followed by particular groups of customers. The framework is applied to a real-life case of an event organizer; it is shown how behavior trajectories can help to explain consumer decisions and to improve business processes that are influenced by customer actions. 2014 Elsevier Ltd. All rights reserved.
Structuring Legacy Pathology Reports by openEHR Archetypes to Enable Semantic Querying.

BACKGROUND
Clinical information is often stored as free text, e.g. in discharge summaries or pathology reports. These documents are semi-structured using section headers, numbered lists, items and classification strings. However, it is still challenging to retrieve relevant documents since keyword searches applied on complete unstructured documents result in many false positive retrieval results.


OBJECTIVES
We are concentrating on the processing of pathology reports as an example for unstructured clinical documents. The objective is to transform reports semi-automatically into an information structure that enables an improved access and retrieval of relevant data. The data is expected to be stored in a standardized, structured way to make it accessible for queries that are applied to specific sections of a document (section-sensitive queries) and for information reuse.


METHODS
Our processing pipeline comprises information modelling, section boundary detection and section-sensitive queries. For enabling a focused search in unstructured data, documents are automatically structured and transformed into a patient information model specified through openEHR archetypes. The resulting XML-based pathology electronic health records (PEHRs) are queried by XQuery and visualized by XSLT in HTML.


RESULTS
Pathology reports (PRs) can be reliably structured into sections by a keyword-based approach. The information modelling using openEHR allows saving time in the modelling process since many archetypes can be reused. The resulting standardized, structured PEHRs allow accessing relevant data by retrieving data matching user queries.


CONCLUSIONS
Mapping unstructured reports into a standardized information model is a practical solution for a better access to data. Archetype-based XML enables section-sensitive retrieval and visualisation by well-established XML techniques. Focussing the retrieval to particular sections has the potential of saving retrieval time and improving the accuracy of the retrieval.
Emerging ethical issues in neuroscience

There is growing public awareness of the ethical issues raised by progress in many areas of neuroscience. This commentary reviews the issues, which are triaged in terms of their novelty and their imminence, with an exploration of the relevant ethical principles in each case.
Beyond the 'information rich and poor': Futures understandings of inequality in globalising informational economies

Much of the debate about inequality in globalising informational economies has focused on the future role of information in social development processes. This paper argues that there are five key erroneous assumptions about the nature of inequality in globalising informational economies which underpin much of this debate-both on an academic and popularist level. The paper argues that it is of fundamental importance that these assumptions are critically examined if the futures of communications policy and planning are to adequately address questions of inequality in relation to information, knowledge and communications. Indeed, failure to examine these assumptions may lead futurists and social scientists (particularly in the West) to become complicit in distracting attention away from the very 'real' global economic, social and cultural inequalities, to 'virtual' inequalities which merely hide an unwillingness to address the core failings of the 'development' paradigm. (C) 2000 Elsevier Science Ltd. All rights reserved.
Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter

OF THE DISSERTATION xi
Integration of multiple vehicle models with an IMM filter for vehicle localization

A vehicle localization system can be extremely useful for intelligent transformation systems (ITS) such as advanced driver assistance systems (ADASs), emergency vehicle notification systems, and collision avoidance systems. To optimize the performance of vehicle localization systems, localization algorithms that analyze multi-sensor data processed using a Kalman filter have been developed. However, a Kalman filter with a single process model cannot guarantee the accuracy of localization under various driving conditions, because the single vehicle model does not cover all driving situations. Therefore, we present a position estimation algorithm based on an interacting multiple model (IMM) filter that uses two kinds of vehicle models: a kinematic vehicle model and a dynamic vehicle model. While the kinematic vehicle model is suitable for low-speed and low-slip driving conditions, the dynamic vehicle model is more appropriate for high-speed and high-slip situations. The IMM filter integrates the estimates from a kinematic vehicle model based on an extended Kalman filter (EKF) and estimates from a dynamic vehicle model based on EKF to improve localization accuracy. The developed estimation algorithm was verified by simulation using a commercial vehicle model. The simulation results show that the estimates of vehicle position by the algorithm presented in this study are accurate under a wide range of driving conditions.
The neurovirulence and neuroinvasiveness of chimeric tick-borne encephalitis/dengue virus can be attenuated by introducing defined mutations into the envelope and NS5 protein genes and the 3' non-coding region of the genome.

Tick-borne encephalitis (TBE) is a severe disease affecting thousands of people throughout Eurasia. Despite the use of formalin-inactivated vaccines in endemic areas, an increasing incidence of TBE emphasizes the need for an alternative vaccine that will induce a more durable immunity against TBE virus (TBEV). The chimeric attenuated virus vaccine candidate containing the structural protein genes of TBEV on a dengue virus genetic background (TBEV/DEN4) retains a high level of neurovirulence in both mice and monkeys. Therefore, attenuating mutations were introduced into the envelope (E(315)) and NS5 (NS5(654,655)) proteins, and into the 3' non-coding region (Delta30) of TBEV/DEN4. The variant that contained all three mutations (vDelta30/E(315)/NS5(654,655)) was significantly attenuated for neuroinvasiveness and neurovirulence and displayed a reduced level of replication and virus-induced histopathology in the brains of mice. The high level of safety in the central nervous system indicates that vDelta30/E(315)/NS5(654,655) should be further evaluated as a TBEV vaccine.
Anisotropic parabolic equations with variable nonlinearity

We study the Dirichlet problem for a class of nonlinear parabolic equations with nonstandard anisotropic growth conditions. Equations of this class generalize the evolutional p(x, t)-Laplacian. We prove theorems of existence and uniqueness of weak solutions in suitable Orlicz-Sobolev spaces, derive global and local in time L∞ bounds for the weak solutions.
Phase II trial of dasatinib for recurrent or metastatic c-KIT expressing adenoid cystic carcinoma and for nonadenoid cystic malignant salivary tumors.

BACKGROUND
Adenoid cystic carcinoma (ACC) is a subtype of malignant salivary gland tumors (MSGT), in which 90% of cases express cKIT. Dasatinib is a potent and selective inhibitor of five oncogenic protein tyrosine kinases (PTKs)/kinase families including cKIT. We conducted a phase II study to determine the antitumor activity of dasatinib in ACC and non-ACC MSGT.


PATIENTS AND METHODS
In a two-stage design, patients with progressive, recurrent/metastatic ACC (+cKIT) and non-ACC MSGT (separate cohort) were treated with dasatinib 70 mg p.o. b.i.d. Response was assessed every 8 weeks using RECIST.


RESULTS
Of 54 patients: 40 ACC, 14 non-ACC (1, ineligible excluded); M:F = 28 : 26, median age 56 years (range 20-82 years), ECOG performance status 0 : 1 : 2 = 24 : 28 : 2, prior radiation: 44, prior chemotherapy: 21. The most frequent adverse events (AEs) (as % of patients, worst grade 2 or higher) were: fatigue (28%), nausea (19%), headache (15%), lymphopenia (7%), dyspnea (11%), alanine aminotransferase increased (7%), anorexia (7%), vomiting (7%), alkaline phosphatase increased (6%), diarrhea (6%), neutropenia (6%), and noncardiac chest pain (6%). No grade 4 AE occurred, 15 patients experienced a grade 3 AE, primarily dyspnea (5) and fatigue (4), and cardiac toxicity (1 prolonged QTc). Among ACC patients, best response to dasatinib: 1 patient (2.5%) had partial response, 20 patients (50%) had stable disease (SD) (3-14 months), 12 patients (30%) had PD, 2 withdrew, 3 discontinued therapy due to AE, and 2 died before cycle 2. Median progression-free survival was 4.8 months. Median overall survival was 14.5 months. For 14 assessable non-ACC patients, none had objective response, triggering early stopping rule. Seven had SD (range 1-7 months), 4 PD, 2 discontinued therapy due to AE, and 1 died before cycle 2.


CONCLUSION
Although there was only one objective response, dasatinib is well tolerated, with tumor stabilization achieved by 50% of ACC patients. Dasatinib demonstrated no activity in non-ACC MSGT.
Effects of hip exercises for chronic low-back pain patients with lumbar
instability

[Purpose] The purpose of this study was to compare hip range of motion between a lumbar stability group and a lumbar instability group, and to evaluate the effectiveness of hip exercises for low-back pain patients with lumbar instability. [Subjects] Seventy-eight patients with chronic low-back pain were the subjects. [Methods] The patients were divided into two groups: a lumbar stability group (n=45) and a lumbar instability group (n=33). They were assessed using the Korean version of the Oswestry Disability Index (KODI) to determine the level of disability of the patients with low-back pain. A 100 mm visual analog scale (VAS) was used to assess low-back pain. [Results] The limitation of hip range of motion of the lumbar instability group was significantly greater than that of the lumbar stability group. Comparisons among four groups at three weeks and six weeks after the start of hip exercises revealed that the VAS score of each group had significantly decreased. Comparisons among four groups at three weeks and at six weeks after the start of hip exercises revealed that the KODI score of each group had significantly decreased. [Conclusion] These findings suggest that the performance of hip exercises by chronic low-back pain patients with lumbar instability is more effective than conventional therapy at reducing low-back pain and levels of disability.
Moral Development in Adolescence

Themes in the papers in this special issue of the JRA on moral development are identified. We discuss the intersection of moral development research with policy concerns, the distinctive qualities of moral life in adolescence that warrant investigation, the multiple connotations of ‘‘moral,’’ the methods typical of moral development research, and the influences that shape adolescent moral development. Suggestions are made for new methods and new directions in the study of moral development.
Performance characteristics of dipstick and microscopic urinalysis for diagnosis of urinary tract infection

Aim: Although the urine culture is used as the reference standard to determine presence or absence of urinary tract infection, the culture is an expensive and time-consuming method. The objectives of the study were to compare dipstick urinalysis with microscopic urinalysis and to compare dipstick and microscopic urinalysis results with urine culture results, by calculating performance characteristics of these tests. Method: The 250 morning urine specimens were performed by using dipstick and microscopic urinalysis and cultured. Laboratory urinalysis included semi-automated dipstick reading by a Miditron-M Reflectance photometer and microscopic examination. Result: Thirty-five point six percent (89/250) of patients had urine cultures with 105 colonies/mL or greater. Sensitivity and specificity of microscopic urinalysis were 91% and 68%, whereas in dipstick urinalysis they were 80% and 60%, respectively. Negative predictive values were 84% for urine dipsticks and 93% for microscopic urinalysis. Positive predictive values were 52% and 61% for dipstick and microscopic urinalysis, respectively. Conclusion: The study has suggested that both urinalysis methods can be used for rapid diagnosis. Urine culture is an expensive test for routine use and should not be applied unless the result of the nitrite, leukocyte or bloods are positive in dipstick or leukocyte, erythrocyte or bacteria are positive in microscopic examination.
Digital Radiographic Image Denoising Via Wavelet-Based Hidden Markov Model Estimation

This paper presents a technique for denoising digital radiographic images based upon the wavelet-domain Hidden Markov tree (HMT) model. The method uses the Anscombe’s transformation to adjust the original image, corrupted by Poisson noise, to a Gaussian noise model. The image is then decomposed in different subbands of frequency and orientation responses using the dual-tree complex wavelet transform, and the HMT is used to model the marginal distribution of the wavelet coefficients. Two different correction functions were used to shrink the wavelet coefficients. Finally, the modified wavelet coefficients are transformed back into the original domain to get the denoised image. Fifteen radiographic images of extremities along with images of a hand, a line-pair, and contrast–detail phantoms were analyzed. Quantitative and qualitative assessment showed that the proposed algorithm outperforms the traditional Gaussian filter in terms of noise reduction, quality of details, and bone sharpness. In some images, the proposed algorithm introduced some undesirable artifacts near the edges.
String diagrams for free monads (functional pearl)

We show how one can reason about free monads using their universal properties rather than any concrete implementation. We introduce a graphical, two-dimensional calculus tailor-made to accommodate these properties.
Removal of Heavy Metals from Wastewater Using Low Cost Adsorbents: A Review

The adsorption process is being widely used by various researchers for the removal of heavy metals from waste streams and activated carbon has been frequently used as an adsorbent. Despite its extensive use in the water and wastewater treatment industries, activated carbon remains an expensive material. In recent years, the need for safe and economical methods for the elimination of heavy metals from contaminated waters has necessitated research interest towards the production of low cost alternatives to commercially available activated carbon. Therefore there is an urgent need that all possible sources of agro-based inexpensive adsorbents should be explored and their feasibility for the removal of heavy metals should be studied in detail. The objective of this study is to contribute in the search for less expensive adsorbents and their utilization possibilities for various agricultural waste by-products such as seaweed, algae, chitosan, egg shell and saw dust etc. for the elimination of heavy metals from wastewater. Keywords— Adsorption, Agro-based, Algae, Bioaccumulation, Chitosan, Egg shell, Seaweed.
Long-term effects of intensive blood-pressure lowering on arterial wall stiffness in hypertensive patients.

BACKGROUND
Aortic stiffness is assessed by pulse wave velocity (PWV) and predicts the cardiovascular morbidity and mortality of hypertensive patients. To determine the long-term effects of intensive blood pressure (BP) lowering by antihypertensive drug therapy on aortic stiffness assessed by PWV, a single-blind randomized prospective study was performed.


METHODS
One hundred forty nondiabetic hypertensive patients (67.6 +/- 0.9 years old; systolic/diastolic BP: 177 +/- 1/101 +/- 1 mm Hg) were assigned to an intensive control group (IC) with a target BP of <130/85 mm Hg (n = 71) or a moderate control group (MC) with a target BP of <140/90 mm Hg (n = 69), and aortic stiffness was assessed every 3 months by measuring aortic PWV with a pulse pressure analyzer.


RESULTS
During the 12-month treatment period, BP significantly decreased to 129 +/- 1/78 +/- 1 mm Hg and 152 +/- 2/87 +/- 1 mm Hg in the IC and MC, respectively. At the beginning of the study, PWV in the IC and MC was similar, averaging 1779 +/- 41 and 1885 +/- 50 cm/sec, respectively. By the end of the treatment period, however, PWV had decreased to 1621 +/- 34 cm/sec in the IC, but had not changed significantly in the MC. In the IC, the ratio of the change in PWV to the change in BP increased with the duration of BP lowering. Clinical and biological parameters were similar in both groups, except that higher doses of amlodipine were used in the IC.


CONCLUSIONS
Long-term intensive BP lowering in the hypertensive patients was associated with a significant reduction in aortic stiffness distinct from its acute depressor effect.
Treatment of Non-transplant patients with multiple myeloma: routine treatment by office-based haematologists in Germany--data from the prospective Tumour Registry Lymphatic Neoplasms (TLN).

BACKGROUND
Various treatment options exist for patients with multiple myeloma (MM). Clinical registries provide insight into routine treatment and identify changes in treatment over time.


PATIENTS AND METHODS
The Tumour Registry Lymphatic Neoplasms (TLN) prospectively collects data on the treatment of patients with lymphoid B cell neoplasms as administered by office-based haematologists in Germany. Data on patient and tumour characteristics, comorbidities, systemic treatments and outcome parameters are recorded.


RESULTS
371 non-transplant patients with MM were recruited between 2009 and 2011. At the start of first-line (second-line) treatment, the median age was 73 (75) years; 67% (74%) of the patients had stage III MM (classification of Durie and Salmon) and 19% (28%) had renal insufficiency. In the first line, 40% of the patients received bortezomib+melphalan+prednisone (VMP), 25% received bortezomib±dexamethasone (V±D) and 8% were treated with melphalan+prednisone+thalidomide (MPT). While use of bortezomib-based regimens increased from 67% (2009) to 85% (2011), use of melphalan-based regimens decreased from 68% to 48%. The overall objective response rate of treatment was 82%. In the second line, 34% of the patients received V±D and 16% lenalidomide+dexamethasone (LD).


CONCLUSION
Bortezomib-based regimens dominate the first- and second-line treatment of MM. Future analyses will investigate outcome data, e.g. effectiveness of bortezomib retherapy compared to other second-line treatments.
Caloric restriction alone and with exercise improves CVD risk in healthy non-obese individuals.

UNLABELLED
Calorie restriction (CR) delays the development of age-associated disease and increases lifespan in rodents, but the effects in humans remain uncertain.


PURPOSE
Determine the effect of 6 months of CR with or without exercise on cardiovascular disease (CVD) risk factors and estimated 10-year CVD risk in healthy non-obese men and women.


METHODS
Thirty-six individuals were randomized to one of three groups for 6 months: Control, 100% of energy requirements; CR, 25% calorie restriction; CR+EX, 12.5% CR+12.5% increase in energy expenditure via aerobic exercise. CVD risk factors were assessed at baseline, 3 and 6 months.


RESULTS
After 6 months, CR and CR+EX lost approximately 10% of body weight. CR significantly reduced triacylglycerol (-31+/-15mg/dL) and factor VIIc (-10.7+/-2.3%). Similarly CR+EX reduced triacylglycerol (-22+/-8mg/dL) and additionally reduced LDL-C (-16.0+/-5.1mg/dL) and DBP (-4.0+/-2.1mmHg). In contrast, both triacylglycerol (24+/-14mg/dL) and factor VIIc (7.9+/-2.3%) were increased in the Control group. HDL-cholesterol was increased in all groups while hsCRP was lower in the Controls versus CR+EX. Estimated 10-year CVD risk significantly declined from baseline by 29% in CR (P<0.001) and 38% in the CR+EX (P<0.001) while remaining unchanged in the Control group.


CONCLUSIONS
Based on combined favorable changes in lipid and blood pressure, caloric restriction with or without exercise that induces weight loss favorably reduces risk for CVD even in already healthy non-obese individuals.