nils-herrmann/clean_scirepeval huggingface dataset:
Physical restraint and near death of a psychiatric patient.

Physical restraint is used as a last resort emergency measure to calm and safeguard agitated and/or aggressive psychiatric patients. This can sometimes cause injuries, and rare fatalities have occurred. One mechanism of injury and death while in physical restraint is that of severe asphyxiation. We present the case of a hospitalized man in his mid-30s, suffering from schizophrenia. The patient was obese. He became aggressive and had to be manually restrained with a "takedown." After having been put in the prone position on the floor with a significant weight load on his body, he lost respiration and consciousness. Subsequently, he was given CPR. He regained consciousness and respiration, while the cyanosis receded in 1-2 min. Psychiatrists and pathologists should be aware that physically restraining a patient in the prone position with a significant weight load on the torso can, in rare cases, lead to asphyxiation.
Fingerprint Matching Incorporating Ridge Features With Minutiae

This paper introduces a novel fingerprint matching algorithm using both ridge features and the conventional minutiae feature to increase the recognition performance against nonlinear deformation in fingerprints. The proposed ridge features are composed of four elements: ridge count, ridge length, ridge curvature direction, and ridge type. These ridge features have some advantages in that they can represent the topology information in entire ridge patterns existing between two minutiae and are not changed by nonlinear deformation of the finger. For extracting ridge features, we also define the ridge-based coordinate system in a skeletonized image. With the proposed ridge features and conventional minutiae features (minutiae type, orientation, and position), we propose a novel matching scheme using a breadth-first search to detect the matched minutiae pairs incrementally. Following that, the maximum score is computed and used as the final matching score of two fingerprints. Experiments were conducted for the FVC2002 and FVC2004 databases to compare the proposed method with the conventional minutiae-based method. The proposed method achieved higher matching scores. Thus, we conclude that the proposed ridge feature gives additional information for fingerprint matching with little increment in template size and can be used in conjunction with existing minutiae features to increase the accuracy and robustness of fingerprint recognition systems.
Intelligent User Interfaces for Social Music Discovery and Exploration of Large-scale Music Repositories

In this position paper, we address the question of how to make music search and discovery more appealing, more exciting, and more joyful. In particular, we argue to research methods that foster serendipitous encounters with music items and to integrate ways for social interaction while exploring music collections and discovering the gems in today's huge catalogs available through online streaming platforms. We identify two major challenges here: the need for (i) highly efficient clustering and information visualization techniques that scale to these music catalogs and (ii) novel user interfaces that explain the clustering of music items and provide means to make the exploration of music a social event.
Beam-steering in microstrip patch antenna array using DGS based phase shifters at 5.2 GHz

Design and experimental analysis of beam steering in microstrip patch antenna array using dumbbell shaped Defected Ground Structure (DGS) for S-band (5.2 GHz) application was carried out in this study. The Phase shifting in antenna has been achieved using different size and position of dumbbell shape DGS. DGS has characteristics of slow wave, wide stop band and compact size. The obtained radiation pattern has provided steerable main lobe and nulls at predefined direction. The radiation pattern for different size and position of dumbbell structure in microstrip patch antenna array was measured and comparative study has been carried out.
Detecting Epileptic Seizures from EEG Data using Neural Networks

We explore the use of neural networks trained with dropout in predicting epileptic seizures from electroencephalographic data (scalp EEG). The input to the neural network is a 126 feature vector containing 9 features for each of the 14 EEG channels obtained over 1-second, non-overlapping windows. The models in our experiments achieved high sensitivity and specificity on patient records not used in the training process. This is demonstrated using leave-one-out-cross-validation across patient records, where we hold out one patient’s record as the test set and use all other patients’ records for training; repeating this procedure for all patients in the database.
Efficient Pre-selection Method for Fast MP-MLQ Search in G.723.1

For multimedia communications, the low computational complexity of coder is required to integrate services of several media sources due to the limited computing capability of the personal information machine. The Multi-pulse Maximum Likelihood Quantization (MP-MLQ) algorithm with high computational complexity and high quality has been used in the G.723.1 standard codec. To reduce the computational complexity of the MP-MLQ method, this paper presents an efficient pre-selection scheme to simplify the excitation codebook search procedure which is computationally the most demand-ing. We propose a fast search algorithm which uses an energy function to predict the candidate pulses, and the codebook is redesigned to become the multi-track position structure. Simulation results show that the average of the perceptual evaluation of speech quality (PESQ) is degraded slightly, by only 0.056, and our proposed method can reduce computational complexity by about 52.8% relative to the original G.723.1 MP-MLQ computation load with perceptually negligible degradation. Our objective evaluations verify that the proposed method can provide speech quality comparable to that of the original MP-MLQ approach.
Toward Probabilistic Natural Logic for Syllogistic Reasoning

Logic emerged as the discipline of reasoning and its syllogistic fragment investigates one of the most fundamental aspect of human reasoning. However, empirical studies have shown that human inference differs from what is characterized by traditional logical validity. In order to better characterize the patterns of human reasoning, psychologists and philosophers have proposed a number of theories of syllogistic reasoning. We contribute to this endeavor by proposing a model based on natural logic with empirically weighted inference rules. Following the mental logic tradition, our basic assumptions are, firstly, natural language sentences are the mental representation of reasoning; secondly, inference rules are among the basic mental operations of reasoning; thirdly, subjects make guesses that depend on a few heuristics. We implemented the model and trained it with the experimental data. The model was able to make around 95% correct predictions and, as far as we can see from the data we have access to, it outperformed all other syllogistic theories. We further discuss the psychological plausibility of the model and the possibilities of extending the model to cover larger fragments of natural language.
Coreless substrate with asymmetric design to improve package warpage

Coreless substrates have been used in more and more advanced package designs for their benefits in electrical performance and reduction in thickness. However, coreless substrate causes severe package warpage due to the lack of a rigid and low CTE core. In this paper, both experimental measured warpage data and model simulation data are presented and illustrate that asymmetric designs in substrate thickness direction are capable of improving package warpage when compared to the traditional symmetric design. A few asymmetric design options are proposed, including Cu layer thickness asymmetric design, dielectric layer thickness asymmetric design and dielectric material property asymmetric design. These design options are then studied in depth by simulation to understand their mechanism and quantify their effectiveness for warpage improvement. From the results, it is found that the dielectric material property asymmetric design is the most effective option to improve package warpage, especially when using a lower CTE dielectric in the bottom layers of the substrate and a high CTE dielectric in top layers. Cu layer thickness asymmetric design is another effective way for warpage reduction. The bottom Cu layers should be thinner than the top Cu layers. It is also found that the dielectric layer thickness asymmetric design is only effective for high layer count substrate. It is not effective for low layer count substrate. In this approach, the bottom dielectric layers should be thicker than the top dielectric layers. Furthermore, the results show the asymmetric substrate designs are usually more effective for warpage improvement at high temperature than at room temperature. They are also more effective for a high layer count substrate than a low layer count substrate.
Mosfet Scaling-the Driver of VLSI Technology

This is an introduction to the Classic Paper on MOSFET scaling by R. Dennardet al., “Design of Ion-Implanted MOSFET’s with Very Small Physical Dimensions,” published in the IEEE Journal of Solid-State Circuitsin October 1974. The history of scaling and its application to very large scale integration (VLSI) MOSFET technology is traced from 1970 to 1998. The role of scaling in the profound improvements in power delay product over the last three decades is analyzed in basic terms.
Beta Process Sparse Nonnegative Matrix Factorization for Music

Nonnegative matrix factorization (NMF) has been widely used for discovering physically meaningful latent components in audio signals to facilitate source separation. Most of the existing NMF algorithms require that the number of latent components is provided a priori, which is not always possible. In this paper, we leverage developments from the Bayesian nonparametrics and compressive sensing literature to propose a probabilistic Beta Process Sparse NMF (BP-NMF) model, which can automatically infer the proper number of latent components based on the data. Unlike previous models, BP-NMF explicitly assumes that these latent components are often completely silent. We derive a novel mean-field variational inference algorithm for this nonconjugate model and evaluate it on both synthetic data and real recordings on various tasks.
19q13.11 deletion syndrome: a novel clinically recognisable genetic condition identified by array comparative genomic hybridisation.

Deletions of chromosome 19 have rarely been reported, with the exception of some patients with deletion 19q13.2 and Blackfan-Diamond syndrome due to haploinsufficiency of the RPS19 gene. Such a paucity of patients might be due to the difficulty in detecting a small rearrangement on this chromosome that lacks a distinct banding pattern. Array comparative genomic hybridisation (CGH) has become a powerful tool for the detection of microdeletions and microduplications at high resolution in patients with syndromic mental retardation.



Using array CGH, this study identified three interstitial overlapping 19q13.11 deletions, defining a minimal critical region of 2.87 Mb, associated with a clinically recognisable syndrome. The three patients share several major features including: pre- and postnatal growth retardation with slender habitus, severe postnatal feeding difficulties, microcephaly, hypospadias, signs of ectodermal dysplasia, and cutis aplasia over the posterior occiput. Interestingly, these clinical features have also been described in a previously reported patient with a 19q12q13.1 deletion. No recurrent breakpoints were identified in our patients, suggesting that no-allelic homologous recombination mechanism is not involved in these rearrangements.



Based on these results, the authors suggest that this chromosomal abnormality may represent a novel clinically recognisable microdeletion syndrome caused by haploinsufficiency of dosage sensitive genes in the 19q13.11 region.
Comprehensive discharge planning and home follow-up of hospitalized elders: a randomized clinical trial.

Comprehensive discharge planning by advanced practice nurses has demonstrated short-term reductions in readmissions of elderly patients, but the benefits of more intensive follow-up of hospitalized elders at risk for poor outcomes after discharge has not been studied.



To examine the effectiveness of an advanced practice nurse-centered discharge planning and home follow-up intervention for elders at risk for hospital readmissions.



Randomized clinical trial with follow-up at 2, 6, 12, and 24 weeks after index hospital discharge.



Two urban, academically affiliated hospitals in Philadelphia, Pa.



Eligible patients were 65 years or older, hospitalized between August 1992 and March 1996, and had 1 of several medical and surgical reasons for admission.



Intervention group patients received a comprehensive discharge planning and home follow-up protocol designed specifically for elders at risk for poor outcomes after discharge and implemented by advanced practice nurses.



Readmissions, time to first readmission, acute care visits after discharge, costs, functional status, depression, and patient satisfaction.



A total of 363 patients (186 in the control group and 177 in the intervention group) were enrolled in the study; 70% of intervention and 74% of control subjects completed the trial. Mean age of sample was 75 years; 50% were men and 45% were black. By week 24 after the index hospital discharge, control group patients were more likely than intervention group patients to be readmitted at least once (37.1 % vs 20.3 %; P<.001). Fewer intervention group patients had multiple readmissions (6.2% vs 14.5%; P = .01) and the intervention group had fewer hospital days per patient (1.53 vs 4.09 days; P<.001). Time to first readmission was increased in the intervention group (P<.001). At 24 weeks after discharge, total Medicare reimbursements for health services were about $1.2 million in the control group vs about $0.6 million in the intervention group (P<.001). There were no significant group differences in post-discharge acute care visits, functional status, depression, or patient satisfaction.



An advanced practice nurse-centered discharge planning and home care intervention for at-risk hospitalized elders reduced readmissions, lengthened the time between discharge and readmission, and decreased the costs of providing health care. Thus, the intervention demonstrated great potential in promoting positive outcomes for hospitalized elders at high risk for rehospitalization while reducing costs.
Kinematic Control of Redundant Manipulators Using Neural Networks

Redundancy resolution is a critical problem in the control of robotic manipulators. Recurrent neural networks (RNNs), as inherently parallel processing models for time-sequence processing, are potentially applicable for the motion control of manipulators. However, the development of neural models for high-accuracy and real-time control is a challenging problem. This paper identifies two limitations of the existing RNN solutions for manipulator control, i.e., position error accumulation and the convex restriction on the projection set, and overcomes them by proposing two modified neural network models. Our method allows nonconvex sets for projection operations, and control error does not accumulate over time in the presence of noise. Unlike most works in which RNNs are used to process time sequences, the proposed approach is model-based and training-free, which makes it possible to achieve fast tracking of reference signals with superior robustness and accuracy. Theoretical analysis reveals the global stability of a system under the control of the proposed neural networks. Simulation results confirm the effectiveness of the proposed control method in both the position regulation and tracking control of redundant PUMA 560 manipulators.
Dynamic contrast-enhanced T2*-weighted MR imaging of tumefactive demyelinating lesions.

Dynamic contrast-enhanced T2*-weighted MR imaging has been helpful in characterizing intracranial mass lesions by providing information on vascularity. Tumefactive demyelinating lesions (TDLs) can mimic intracranial neoplasms on conventional MR images, can be difficult to diagnose, and often result in surgical biopsy for suspected tumor. The purpose of this study was to determine whether dynamic contrast-enhanced T2*-weighted MR imaging can be used to distinguish between TDLs and intracranial neoplasms that share common features on conventional MR images.



We retrospectively reviewed the conventional and dynamic contrast-enhanced T2*-weighted MR images and medical records of 10 patients with tumefactive demyelinating disease that was diagnosed by either biopsy or strong clinical suspicion supported by laboratory evaluation that included CSF analysis and evoked potential tests. Twelve TDLs in 10 patients and 11 brain tumors that appeared similar on conventional MR images were studied. Relative cerebral blood volume (rCBV) was calculated from dynamic MR data and was expressed as a ratio to contralateral normal white matter. rCBV values from 11 patients with intracranial neoplasms with very similar conventional MR imaging features were used for comparison.



The rCBV values of TDLs ranged from 0.22 to 1.79 (n = 12), with a mean of 0.88 +/- 0.46 (SD). The rCBV values of intracranial neoplasms ranged from 1.55 to 19.20 (n = 11), with a mean of 6.47 +/- 6.52. The difference in rCBV values between the two groups was statistically significant (P =.009). The difference in rCBV values between TDLs and primary cerebral lymphomas (n = 4) was less pronounced but was statistically significant (P =.005).



Dynamic contrast-enhanced T2*-weighted MR imaging is a useful diagnostic tool in differentiating TDLs from intracranial neoplasms and may therefore obviate unnecessary surgical biopsy.
Delivering Oxidation Resistance-1 (OXR1) to Mouse Kidney by Genetic Modified Mesenchymal Stem Cells Exhibited Enhanced Protection against Nephrotoxic Serum Induced Renal Injury and Lupus Nephritis

To elucidate the role of oxidation resistance 1 (OXR1) gene. Oxidative stress plays a pivotal role in pathogenesis of immune-mediated nephritis. Recently we identified oxidation resistance 1 (OXR1) is conventionally expressed in eukaryotes and has an ability to prevent oxidative damage caused by various oxidative stresses. However the protective effect of OXR1 in immune-associated inflammatory response and oxidative damage is not clear and will be investigated in this study.



We utilized mesenchymal stem cells (MSCs) as vehicles to carry OXR1 into the injured kidneys of nephritis model mice and investigated the influence of OXR1 on glomerulonephritis. Human OXR1 gene was integrated into genome of MSCs via lentiviral vector, and established hOXR1-MSC cell line which still maintains the differentiation property. 129/svj mice with anti-glomerular basement membrane (GBM) challenge and spontaneous lupus mice B6.Sle1.Sle2.Sle3 were injected with hOXR1-MSCs (i.v. injection) to evaluate the function of hOXR1. Immunohistochemistry was used to appraise the renal pathology and Tunel staining was applied to detect cell apoptosis.



Compared with control mice, hOXR1-MSCs administration showed significantly decreased blood urea nitrogen (BUN), proteinuria and ameliorated renal pathological damage. hOXR1-MSCs transplantation significantly reduced macrophage and T lymphocyte infiltration by inhibiting the expression of CCL2, CCL7, IL-1β, IL-6 and NFκB in mouse kidney. Moreover, hOXR1-MSCs prevented hydrogen peroxide (H2O2)-induced oxidative stress and its implantation reduced nitric oxide (NO) in mouse serum and urine to inhibit tubular cell apoptosis.



OXR1-MSCs transplantation may exert a certain protective effect on nephritis by suppressing inflammation and oxidative stress.
Turkish labeled text corpus

A labeled text corpus made up of Turkish papers' titles, abstracts and keywords is collected. The corpus includes 35 number of different disciplines, and 200 documents per subject. This study presents the text corpus' collection and content. The classification performance of Term Frequcney - Inverse Document Frequency (TF-IDF) and topic probabilities of Latent Dirichlet Allocation (LDA) features are compared for the text corpus. The text corpus is shared as open source so that it could be used for natural language processing applications with academic purposes.
Survey of range improvement of commercial RFID tags with Power Optimized Waveforms

The power sensitivity of passive Radio Frequency Identification (RFID) tags heavily affects the read reliability and range. Inventory tracking systems rely heavily on strong read reliability while animal tracking in large fields rely heavily on long read range. Power Optimized Waveforms (POWs) provide a solution to improving both read reliability and read range by increasing RFID tag RF to DC power conversion efficiency. This paper presents a survey of the increases and decreases to read range of common RFID tags from Alien and Impinj with Higgs, Higgs 2, Higgs 3, Monza 3, and Monza 4 RFICs. In addition, POWs are explained in detail with examples and methods of integration into a reader.
Fatigue resistance and crack propensity of large MOD composite resin restorations: direct versus CAD/CAM inlays.

To assess the influence of material/technique selection (direct vs. CAD/CAM inlays) for large MOD composite adhesive restorations and its effect on the crack propensity and in vitro accelerated fatigue resistance.



A standardized MOD slot-type tooth preparation was applied to 32 extracted maxillary molars (5mm depth and 5mm bucco-palatal width) including immediately sealed dentin for the inlay group. Fifteen teeth were restored with direct composite resin restoration (Miris2) and 17 teeth received milled inlays using Paradigm MZ100 block in the CEREC machine. All inlays were adhesively luted with a light curing composite resin (Filtek Z100). Enamel shrinkage-induced cracks were tracked with photography and transillumination. Cyclic isometric chewing (5 Hz) was simulated, starting with a load of 200 N (5000 cycles), followed by stages of 400, 600, 800, 1000, 1200 and 1400 N at a maximum of 30,000 cycles each. Samples were loaded until fracture or to a maximum of 185,000 cycles.



Teeth restored with the direct technique fractured at an average load of 1213 N and two of them withstood all loading cycles (survival=13%); with inlays, the survival rate was 100%. Most failures with Miris2 occurred above the CEJ and were re-restorable (67%), but generated more shrinkage-induced cracks (47% of the specimen vs. 7% for inlays).



CAD/CAM MZ100 inlays increased the accelerated fatigue resistance and decreased the crack propensity of large MOD restorations when compared to direct restorations. While both restorative techniques yielded excellent fatigue results at physiological masticatory loads, CAD/CAM inlays seem more indicated for high-load patients.