Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of major physical diseases and its outcomes on depressive symptoms among Chinese population

Abstract Background: Depression was common among people with physical diseases. Evidence was lacked on the impact of outcomes of physical diseases on mental health. Aim: Using a national representative data of the China Health and Retirement Longitudinal Study, we aimed to explore the impact of major physical diseases and its outcomes on mental health among Chinese population. Methods: Using a multi-stage cluster sampling design, the CHARLS survey collected information of 19 549 subjects in the 2013/2014 follow-up survey. Depressive symptoms were measured by the 10-item version of the Center for Epidemiological Studies Depression (CES-D). Results: The prevalence rate of depressive symptoms in the study population was 21.2%. Major physical diseases were significantly associated with depressive symptoms. Compared to people who did not experience major physical diseases, participants who fully recovered after hospitalization were at similar level of developing depressive symptoms (OR = 1.16), participants who experienced major physical diseases but were not admitted to hospitals were more likely to develop depressive symptoms (OR = 2.14), and those who discharged from hospitals without recovery were also more likely to have depressive symptoms (OR = 2.24). Conclusions: Screening for depression among hospitalized population and training among general practitioners were necessary. During hospitalization, collaborative care for both physical and mental health could be beneficial.
Unveiling the complex connectivity of human needs in urban places. Towards a better understanding of the social dimension of sustainability

We present a methodology based on complex networks and maximal information methods that, using data from surveys on urban perception at two spatial levels, reveals the connectivity between human needs. Questions, linked to needs by their satisfiers, are represented by nodes, and correlation between them by edges, weighted by the information strength of every pair of questions. Graph theory is applied to reveal the structure of the network. Our results show that different spatial levels present different and non-trivial patterns of need emergence. A simple numerical model suggests a dependency on the probability distribution of weights. This way of visualising the connectivity of human needs can be used to devise new strategies to cope with the complexity of urban-making processes.
An Efficient Fill Estimation Algorithm for Sparse Matrices and Tensors in Blocked Formats

Tensors, which are the linear-algebraic extensions of matrices in arbitrary dimensions, have numerous applications to data processing tasks in computer science and computational science. Many tensors used in diverse application domains are sparse, typically containing more than 90% zero entries. Efficient computation with sparse tensors hinges on algorithms that can leverage the sparsity to do less work, but the irregular locations of the nonzero entries pose significant challenges to performance engineers. Many tensor operations such as tensor-vector multiplications can be sped up substantially by breaking the tensor into equally sized blocks (only storing blocks which contain nonzeros) and performing operations in each block using carefully tuned code. However, selecting the best block size from among many possibilities is computationally challenging. Previously, Vuduc et al. defined the fill of a sparse tensor to be the number of stored entries in the blocked format divided by the number of nonzero entries, and showed how the fill can be used as part of an effective, efficient heuristic for evaluating the quality of a particular blocking scheme [2, 3]. In particular, they showed that if the fill could be computed exactly, then the measured performance of their sparse matrix-vector multiply was within 5% of the optimal setting. However, they gave no theoretical accuracy bounds for their method for estimating the fill, and it is vulnerable to several classes of adversarial examples. In this paper, we present a sampling-based method for finding a (1 + ε)-approximation to the fill of an order N tensor for all block sizes less than B, with probability at least 1 − δ, using O((B/ε) log(B/δ)) samples for each block size. We introduce an efficient routine to sample for all B block sizes at once in O(NB ) time. We extend our concentration bounds to a more efficient bound based on sampling without replacement, using the recent Hoeffding-Serfling inequality [4]. We then implement our algorithm and evaluate it on sparse matrices from the University of Florida collection and compare our scheme to that of Vuduc, as implemented in the Optimized Sparse Kernel Interface (OSKI) library, and a brute-force method for obtaining the ground truth. We find that our algorithm provides faster estimates of the fill at all accuracy levels, providing evidence that this is both a theoretical and practical improvement.
Penetration of Ravuconazole, a New Triazole Antifungal, into Rat Tissues

Ravuconazole (BMS 207147, ER-30346) is a long-lasting triazole antifungal agent active against a broad spectrum of fungal pathogens including non-albicans Candida, Aspergillus, Cryptococcus and key dermatophytic fungi. The penetration of ravuconazole into rat tissues was examined. Fifty-five 7-week-old specific pathogen free female rats were used in this study. Plasma, lung and uterus tissue of rats were taken at 1, 2, 4, 8, 12, 16, 24, 32, 48, 60, and 72 h (n = 5) after oral administration of 10 mg/kg of ravuconazole. The quantitative assays of ravuconazole by HPLC after the extraction with diethylether were conducted for each tissue sample homogenate. tmax, t 1/2, and Cmax of ravuconazole is 8 h, 16.9 h and 1.68 µg/ml, respectively. The concentrations of ravuconazole in rat uterus and lung tissues were 2–to 6 times higher than the corresponding blood concentrations. The ratio of plasma to lung levels of ravuconazole was superior to the published data of other azoles. Considering its antifungal spectrum, ravuconazole would thus be a good candidate for treatment of deep-seated fungal infections caused by Candida, Aspergillus and Cryptococcus.
Diagnosis, clinicopathological characteristics and prognosis of pulmonary mucinous adenocarcinoma

Primary pulmonary mucinous adenocarcinoma (PPMA) is an uncommon subtype of lung adenocarcinoma. The present study attempted to clarify the diagnosis, clinicopathological characteristics, and pathologic significance of epithelial growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS) mutations and the prognosis of PPMA. A total of 29 patients with PPMA from among 1,469 surgically resected patients with lung adenocarcinoma were enrolled. All of the tumours expressed CK7 and 5 cases exhibited co-expression with CK20. A total of 8 cases expressed EGFR, 14 cases expressed P53 and 2 cases expressed CEA. The majority of mucinous adenocarcinomas expressed thyroid transcription factor 1, Napsin A, Villin and Cam5.2 proteins. KRAS mutations were observed in 62% of patients and were more prevalent in the lower lung lobe and in patients with invasive mucinous adenocarcinoma. A total of 2 cases exhibited an EGFR mutation, and the co-mutation of KRAS and EGFR was only detected in 1 case. The relapse-free and overall survival rates at 5 years were 70.4, and 81.5%, respectively. The results may assist to identify a molecular target and supply important information for a therapeutic strategy for patients with PPMA.
Study of Significance Tests with respect to Sentiment Analysis

Sentiment Analysis (SA) has grown tremendously over the decade. More and more sophisticated techniques are built to tackle the problem. The evolution of methods has been on several different dimensions. Some of these are complexity of algorithm, the knowledge source used, etc. The SA task is to predict the sentiment orientation of a text (document/para/sentence) by analyzing the polarity of words present in the text. A lexicon of sentiment bearing words is of great help in such tasks. Finding out whether a word occurs significantly more often in one class than in another is a crucial task to sentiment analysis. For example, a word like blockbuster is a significant word for sentiment classification in the movie domain as it occurs significantly more often in positive documents than in negative documents. In this report, we conceptually compare two significance tests, viz., Welch’s t-test and χ test with all unigrams with respect to sentiment analysis. we’ve shown that using significant words improves the accuracy in case of In-domain, Cross-domain and Cross-lingual Sentiment Analysis.
Assessment of sterility of pulmonary arterial catheter sheaths.

Since its description in 1970, the flow-directed balloon-tipped pulmonary arterial catheter (PAC) has become a cornerstone for hemodynamic monitoring in the intensive care unit. As the PAC is used more frequently, a subset of patients arises in which, after an initial monitoring success, the catheter fails to wedge. The best way to reposition the catheter in this circumstance is the subject of debate (1). Some physicians think that the catheter should not be advanced after the initial placement because of the possibility of introducing into the patient a part of the catheter that is no longer sterile (2). In an attempt to safely manipulate the PAC after placement, Kopman and Sandza (3 ) developed a plastic sleeve that was put over the catheter at the time of insertion. In 10 patients the sleeve was reported to preserve the sterility of that portion of the catheter that remained outside the patient but within the sheath. Several manufacturers now produce such ”contamination sheaths” that are promoted as a means of maintaining the sterility of the catheter and decreasing the infection rates of these catheters. In their initial study, Kopman and Sandza failed to report whether any of the catheters were manipulated within the sheath prior to the cultures being obtained. Furthermore, swabbing the PAC, as they did, may not be the most effective way to assess the sterilitv of the catheter. Finally, the number of catheters s.tudied may have been too small to adequately detect contamination. The purpose of this study then was to assess, by two different techniques, whether a currently marketed contamination sheath does indeed safeguard the sterility of the part of the PAC that lies outside the patient.
Evaluating machine creativity

Can a computer be creative? And what can we learn about our own creativity from studying computational creativity? My research offers a comprehensive and practically useful investigation into how to evaluate the level of creativity demonstrated by computational systems. How should something so subjective as creativity be measured? I argue that it is most productive to treat creativity as a collection of inter-related factors such as originality, value and productivity, which are more tightly defined and therefore more amenable to measurement. Potential factors are being derived from empirical studies examining a wide variety of our writings on creativity. These will be tested in a simulation of a creative environment: the best performing factors will be applied to evaluation of existing creative systems, in comparison to assessments made by human judges. The aim of this is to identify key components for creativity, giving insight into how to approach the evaluation and improvement of computational systems and also towards human creativity as well.
Sustainability Reporting at a New Zealand Public University: A Longitudinal Analysis

This study examines the case of sustainability reporting by a New Zealand public university from a longitudinal perspective. Content analysis of the sustainability report for a five-year period is the primary research method. We observe that sustainability reporting by the case university excessively focuses on environmental reporting with a near absence of economic and social disclosures. Also, the results reveal that there is a generally upward trend for the reporting in the period, albeit the overall level is still low without any monetary disclosures in the report. Moreover, we find that the university does not follow any guidelines in its reporting. Based upon the results and findings, we provide some suggestions for universities to improve their sustainability reporting. This study contributes to the limited research with regard to sustainability reporting in the higher education sector, particularly from a longitudinal perspective. It is expected that this research would have some implications for academics and university sustainability policy makers.
Tracing the Structure‐Function Relationship of Neuroglobin and Cytoglobin using Resonance Raman and Electron Paramagnetic Resonance Spectroscopy

The physiological role of neuroglobin and cytoglobin, two vertebrate globins discovered in the last 5 years, is not yet clearly understood. In this work, we review the structural information on these globins and its implication on the possible protein functions, obtained by electron paramagnetic resonance and resonance Raman spectroscopy. All studies reveal a high flexibility in the heme‐pocket region of neuroglobin. Together with the observation that the distal ligand of the heme iron is the endogenous E7‐histidine in both the ferric and ferrous form of neuroglobin and cytoglobin, the flexibility of the heme environment in neuroglobin will play a crucial role in the globins' ability to bind and stabilize exogenous ligands. IUBMB Life, 56: 665‐670, 2004
A measurement system for testing light remotely piloted aircraft

In this paper, a system for testing light Vertical Take Off and Landing (VTOL) — Remotely Piloted Aircraft System (RPAS), called “DronesBench”, is proposed. This system aims to detect fault related to the RPAS components by measuring the thrust force module, the power consumption and the attitude stability of RPAS under test. In this paper, the system is described and preliminary results are reported by testing a quad-rotor VTOL-RPAS. Furthermore, according to the systems already available in literature, the novelty and the advantages of “DronesBench” are highlighted.
To LIFT or to Flap? Which Surgery to Perform Following Seton Insertion for High Anal Fistula?

BACKGROUND: The ideal surgery following seton insertion for high anal fistulas remains debatable. OBJECTIVE: This study aimed to compare the success between the endorectal advancement flap and the ligation of intersphincteric fistula tract techniques as the definitive procedure following seton placement. DESIGN: This study is a retrospective review. SETTINGS: This study was conducted at the Division of Colorectal Surgery, University Surgical Cluster, National University Health System, Singapore, between April 2006 and July 2011. PATIENTS AND INTERVENTIONS: After seton placement for high anal fistulas, 31 and 24 patients underwent the endorectal advancement flap and the ligation of intersphincteric fistula tract procedures. MAIN OUTCOME MEASURES: Failure was defined as the nonhealing of the surgical wounds or persistent discharge at the external opening. RESULTS: We identified 31 patients with a median age of 49 (range, 19–74) years in the endorectal advancement flap group. The median interval from the seton procedure to the flap procedure was 13 (range, 4–284) weeks. Over a median follow up of 6 (range, 2–26) months, 29 (93.5%) patients had successful outcomes. There were 24 patients, median age 41 (range, 16–75) years, in the ligation of intersphincteric fistula tract group. The median interval from the seton placement to the definitive surgery was 14 (range, 8–74) weeks. Over a median follow-up of 13 (range, 4–67) months, 15 (62.5%) patients had successful outcomes. Hence when performed as the initial definitive procedure after a seton, the endorectal advancement flap technique had a significantly higher success rate in comparison with the ligation of intersphincteric fistula tract approach (93.5% vs 62.5%) (p = 0.006). CONCLUSION: In patients who have had seton placement for high anal fistulas, the endorectal advancement flap technique is associated with better short-term outcomes in comparison with the ligation of intersphincteric fistula tract technique.
Millimeter-Wave Integrated Photoreceivers for High Data Rate Photonic Wireless Communication

We report on the use of 30 and 100 GHz integrated millimeter-wave photoreceivers in high data rate photonic wireless communication. The role of the bandwidth of a narrow-band photoreceiver in increasing the data rate of wireless single carrier transmission is discussed. An 11-GHz bandwidth photoreceiver achieved a data rate of 44.6 Gb/s using an 8 GBd, 64-QAM (quadrature amplitude modulation) signal. A wider bandwidth (19 GHz) integrated photoreceiver was designed and fabricated for use in the 100-GHz range. High-frequency response photoreceivers have the following advantages: they operate in a wide bandwidth easily, use frequency resources efficiently, and are subject to low amounts of atmospheric attenuation. In addition to the single carrier wireless transmission study, a high data rate (12 Gb/s) multicarrier radio over fiber (16-QAM in orthogonal frequency division multiplexing) transmission experiment was demonstrated in order to confirm the ability to increase the data rate with a wide operational bandwidth.
Application of SV markers developed from Dongxiang common wild rice in analysis of cultivated rice

Abstract Dongxiang common wild rice (Oryza rufipogon Griff., DXWR) is an important genetic resource for the improvement of cultivated rice. For the past three decades, great achievements have been made in the field of molecular marker development. Although structural variations (SVs) had been studied between DXWR and Nipponbare (Oryza sativa L. ssp. japonica), the development and application of SV markers in DXWR has not been reported. In this study, based on the genome-wide SV loci, we developed and synthesized a total of 195 SV markers that were evenly distributed across the 12 rice chromosomes. Then, these markers were tested for their stabilities and polymorphisms. Of these 195 markers, 147 (75.4%) were successfully amplified and displayed abundant polymorphisms between DXWR and Nipponbare. Meanwhile, through the genotyping of 20 rice varieties from 13 countries and areas, we concluded that these SV markers have a wide application prospect in the analysis of cultivated rice. Therefore, these molecular markers greatly enrich the number of markers available for DXWR, which will facilitate genomic research and molecular breeding for this important and endangered germplasm resource.
International OLED technology roadmap

Recent advances in the development of organic materials to conduct electricity and emit light should provide the basis for the economic manufacture of active matrix displays built upon organic light emitting diode technology, beginning in 2003. The steps leading from laboratory science and prototype demonstrations to high-volume low-cost fabrication in the years 2003 to 2010 are outlined, and the major processing challenges are identified.
Cisplatin-Induced Nephrotoxicity; Protective Supplements and Gender Differences

Cisplatin (CDDP) has been widely used as a chemotherapeutic agent for solid tumors. The most common side effect of CDDP is nephrotoxicity, and many efforts have been made in the laboratory and the clinic to employ candidate adjuvants to CDDP to minimize this adverse influence. Many synthetic and herbal antioxidants as well as trace elements have been investigated for this purpose in recent years and a variety of positive and negative results have been yielded. However, no definitive supplement has so far been proposed to prevent CDDP-induced nephrotoxicity; however, this condition is gender related and the sex hormone estrogen may protect the kidney against CDDP damage. In this review, the results of research related to the effect of different synthetic and herbal antioxidants supplements are presented and discussed with suggestions included for future work.
Multi-label Learning with Label-Specific Features via Clustering Ensemble

Multi-label learning deals with objects with rich semantics where each example is associated with multiple class labels simultaneously. Intuitively, each class label is supposed to possess specific characteristics of its own. Therefore, exploiting label-specific features serves as one of the promising techniques to learn from multi-label examples. Specifically, the LIFT approach generates the label-specific features by clustering the multi-label training examples in a label-wise style, which ignores the utilization of label correlations to improve generalization performance. In this paper, a new multi-label learning method named LIFTACE (multi-label learning with Label-specIfic FeaTures viA Clustering Ensemble) is proposed, which generates label-specific features by considering label correlations via clustering ensemble techniques. Extensive experimental results show that, LIFTACE can achieve better generalization performance than LIFT by exploiting label correlations in label-specific features generation.
Motion-Based Temporal Alignment of Independently Moving Cameras

This paper presents a method to establish a nonlinear temporal correspondence between two video sequences captured by cameras independently moving in a dynamic 3D scene. We assume that the 3D spatial poses of the cameras are known for each frame. With predefined trajectory basis, the coefficients of the reconstructed trajectory of a moving scene point reflect the rhythm in motion. A robust rank constraint from the coefficient matrices is exploited to measure the spatiotemporal alignment quality for every feasible pair of video fragments. Point correspondences across sequences are not required or even it is possible that different points are tracked in different sequences, only if they satisfy the assumption that every 3D point tracked in the observed sequence can be described as a linear combination of a subset of the 3D points tracked in the reference sequence. Synchronization is then performed using a graph-based search algorithm to find the globally optimal path that minimizes both spatial and temporal misalignments. Our algorithm can use both complete and incomplete feature trajectories along time, and is robust to mild outliers. We verify the robustness and performance of the proposed approach on synthetic data as well as on challenging real video sequences.
Heredity in comorbid bipolar disorder and obsessive-compulsive disorder patients

Summary Partly due to the overlap of symptom groupings in DSM, psychiatric comorbidity is extremely common. One of the most common and difficult to manage comorbid conditions is the co-occurrence of bipolar disorder (BD) and obsessive compulsive disorder (OCD). However, the key nosological question about this condition – whether they are two distinct disorders or a subtype of one of the disorders – remains unresolved. In order to help address this unanswered question, we updated our recent systematic review, searching the electronic databases MEDLINE, Embase, and PsycINFO to specifically investigate the heredity in BD-OCD patients. We identified a total of 8 relevant papers, the majority of which found that, compared to non-BD-OCD patients, BD-OCD patients were more likely to have a family history for mood disorders and less likely to have a family history for OCD. These results support the view that the majority of cases of comorbid BD-OCD are, in fact, BD cases. If confirmed in larger, more focused studies, this conclusion would have important nosological and clinical implications.