Miracle-dz/UniFAR-FTUs huggingface dataset:
Baseline prostate-specific antigen levels following treatment with abiraterone acetate as a prognostic factor in castration-resistant prostate cancer

The aim of the present study was to investigate the prognostic factors associated with progression-free survival (PFS) and overall survival (OS) times in patients with castration-resistant prostate cancer (CRPC) who received treatment with abiraterone acetate (AA) in routine clinical settings. A total of 93 patients treated with AA between September 2014 and February 2017 were selected and their medical records were analyzed retrospectively. The median PFS time of docetaxel (DTX)-naïve patients was 171 days, and that of post-DTX patients was 56 days. The OS time of DTX-naïve patients did not reach the median. The median OS time of post-DTX patients was 761 days. Multivariate analyses identified baseline prostate-specific antigen (PSA) level prior to treatment with AA and the PSA response rate as independent prognostic factors for PFS time, and baseline PSA prior to treatment with AA as the only independent prognostic factor for OS time. The results of the present study indicate that the baseline PSA level prior to treatment with AA is a notable prognostic factor in patients with CRPC.
Using Plain Language and Adding Communication Technology to an Existing Health-Related Questionnaire to Help Generate Accurate Information: Qualitative Study

Background Low-educated patients are disadvantaged in using questionnaires within the health care setting because most health-related questionnaires do not take the educational background of patients into account. The Dutch Talking Touch Screen Questionnaire (DTTSQ) was developed in an attempt to meet the needs of low-educated patients by using plain language and adding communication technology to an existing paper-based questionnaire. For physical therapists to use the DTTSQ as part of their intake procedure, it needs to generate accurate information from all of their patients, independent of educational level. Objective The aim of this study was to get a first impression of the information that is generated by the DTTSQ. To achieve this goal, response processes of physical therapy patients with diverse levels of education were analyzed. Methods The qualitative Three-Step Test-Interview method was used to collect observational data on actual response behavior of 24 physical therapy patients with diverse levels of education. The interviews included both think-aloud and retrospective probing techniques. Results Of the 24 respondents, 20 encountered one or more problems during their response process. The use of plain language and information and communication technology (ICT) appeared to have a positive effect on the comprehensibility of the DTTSQ. However, it also had some negative effects on the interpretation, retrieval, judgment, and response selection within the response processes of the participants in this study. No educational group in this research population stood out from the rest in the kind or number of problems that arose. All respondents recognized themselves in the outcomes of the questionnaire. Conclusions The use of plain language and ICT within the DTTSQ had both positive and negative effects on the response processes of its target population. The results of this study emphasize the importance of earlier recommendations to accompany any adaption of any questionnaire to a new mode of delivery by demonstrating the difference and equivalence between the two different modes and to scientifically evaluate the applicability of the newly developed mode of the questionnaire in its intended setting. This is especially important in a digital era in which the use of plain language within health care is increasingly being advocated.
Identification of the causative dermatophyte of tinea capitis in children attending Mbarara Regional Referral Hospital in Uganda by PCR-ELISA and comparison with conventional mycological diagnostic methods

Tinea capitis is a dermatophyte infection common among prepubertal children in sub-Saharan Africa and mainly caused by Trichophyton and Microsporum species. Accurate identification is challenging as conventional methods like culture and microscopy are slow and mostly based on morphological characteristics, which make them less sensitive and specific. Modern molecular methods, like polymerase chain reaction (PCR) assays, are gaining acceptance and are quick as well as accurate. The aim of this study was to investigate the clinical patterns of tinea capitis and to accurately identify the most common causative dermatophytes affecting the scalps of children aged 1 to 16 years attending the Skin Clinic at Mbarara University of Science and Technology (MUST), Mbarara, Uganda, East Africa, using both conventional mycological methods and PCR-ELISA for detection of dermatophyte DNA. One hundred fifteen clinical samples from children from Western Uganda attending the MUST Skin Clinic with a clinical diagnosis of tinea capitis were analyzed. T. violaceum was identified as the most common causative agent, followed by M. audouinii, T. soudanense, and T. rubrum. The early identification of the causative agent of tinea capitis is a prerequisite for the effective management of the disease, the identification of probable source and the prevention of spreading. Children with tinea capitis in Western Uganda should be treated by systemic therapy rather than topical preparations to ensure high cure rates as the most common causative dermatophytes T. violaceum exhibits an endothrix rather than ectothrix invasion of the hair follicle.
Response to Agomelatine Treatment is Independent of Smoking Status and Dosage: Results From the AGOPSYCH Study

Abstract Introduction Cigarette smoking influences response to antidepressant treatment. It accelerates the metabolism of several cytochrome P450 (CYP) subtypes, including CYP1A2, and therefore bears the risk of pharmacokinetic interactions with psychotropic drugs using that pathway. Agomelatine is a substrate of CYP1A2; the association between nicotine use and agomelatine dosage, however, has never been studied before. Methods Smoking habits were correlated with agomelatine doses and treatment outcomes in a sample of 27 patients with lifetime diagnoses within the schizophrenia spectrum who received agomelatine treatment in addition to their stable antipsychotic treatment regimen because of depressive symptoms. Results No interactions were found between smoking status and agomelatine dosage, and treatment outcomes did not differ between smokers and nonsmokers. Discussion Agomelatine efficacy appears to be independent of dosage and smoking status, pointing toward mechanisms beyond mere dose-response relationships. Further research will be necessary to validate these findings.
Short communication: visualizing actions from a third-person perspective: effects on health behavior and the moderating role of behavior difficulty

Visualizing behavior from a third-person (vs. first-person) perspective can produce stronger motivation to enact the behavior. However, the effects of perspective on health behaviors have been mixed. Hypothesizing that the difficulty of the visualized behavior might moderate the effect of perspective, two experiments manipulated the difficulty of the visualized behaviors (fruit/vegetable consumption; exercise) plus perspective and subsequently measured motivation (Experiments 1 and 2) and behavior (Experiment 2). In both experiments, the third-person perspective produced stronger motivation to perform the easier, but not the more difficult, behavior. This effect extended to behavior in Experiment 2. Under certain conditions, encouraging people to visualize behavior from a third-person perspective could represent a useful and cost-effective means of promoting health behavior change.
Development of microsatellite markers for the wind cave–associated shrub Lonicera alpigena subsp. glehnii (Caprifoliaceae)

Premise of the Study Microsatellite markers were developed for the wind cave–associated shrub Lonicera alpigena subsp. glehnii to conduct phylogeographic studies on the species. Methods and Results Based on the sequence data obtained by 454 sequencing, a total of 81 primer pairs were designed and 18 successfully amplified the microsatellite regions. These markers were highly variable (i.e., average number of alleles per locus = 6.2 [range = 2–15]; average expected heterozygosity per locus = 0.489 [range = 0.149–0.729]). Cross‐species amplification of the primers was tested in 10 congeneric taxa (L. caerulea var. emphyllocalyx, L. chamissoi, L. chrysantha, L. gracilipes var. glandulosa, L. japonica, L. kurobushiensis, L. morrowii, L. ramosissima, L. sachalinensis, and L. strophiophora), and six to 11 primers amplified the microsatellite markers. Conclusions The microsatellite markers developed in this study will be useful for phylogeographic studies and conservation genetics of L. alpigena subsp. glehnii as well as congeneric species.
Corpus Analysis and Annotation for Helpful Sentences in Product Reviews

For the last two decades, various studies on determining the quality of online product reviews have been concerned with the classification of complete documents into helpful or unhelpful classes using supervised learning methods. As in any supervised machine-learning task, a manually annotated corpus is required to train a model. Corpora annotated for helpful product reviews are an important resource for the understanding of what makes online product reviews helpful and of how to rank them according to their quality. However, most corpora for helpfulness are annotated on the document level: the full review. Little attention has been paid to carrying out a deeper analysis of helpful comments in reviews. In this article, a new annotation scheme is proposed to identify helpful sentences from each product review in the dataset. The annotation scheme, guidelines and the inter-annotator agreement scores are presented and discussed. A high level of inter-annotator agreement is obtained, indicating that the annotated corpus is suitable to support subsequent research.
The relationship between vitamin D deficiency and erythrocyte
sedimentation rate in patients with diabetes

Background/aim: Vitamin D deficiency in diabetic patients has been shown to be associated with some inflammatory markers. However, its relationship with erythrocyte sedimentation rate (ESR) is still unknown. The aim of this study was to investigate the relationship between vitamin D deficiency and ESR in patients with type 2 diabetes mellitus (T2DM). Materials and methods: This cross-sectional study was conducted with 294 consecutive patients with T2DM. Serum levels of 25-hydroxyvitamin D, glycemic parameters, lipids, ESR, and C-reactive protein were measured. Patients were evaluated according to 25-hydroxyvitamin D levels as having vitamin D deficiency, vitamin D insufficiency, and vitamin D sufficiency. Results: ESR was found to be higher in patients with vitamin D deficiency than in patients who were vitamin D-sufficient (P < 0.001), and ESR was negatively correlated with 25-hydroxyvitamin D level (r = –0.265, P < 0.001). HbA1c and postprandial glucose levels were higher in patients with vitamin D deficiency than vitamin D-sufficient patients (P = 0.005 and P = 0.019, respectively). In receiver operating curve analysis, an ESR value of 14.5 mm/h had 70.1% sensitivity and 50.3% specificity for the prediction of vitamin D deficiency. Conclusion: The present study revealed that ESR is higher in T2DM patients with vitamin D deficiency than patients with sufficient vitamin D. There was an inverse association between ESR and vitamin D levels. Furthermore, vitamin D deficiency was related to poor glycemic control.
Transferring Characteristic Proportions to Modify the Artistic Style of Cartoons

This paper presents a new automatic algorithmfor extracting properties of an individual artist’sstyle and applying those properties to other drawings.The algorithm can be used to ensure consistent artisticstyle across a project by automatically transferringa selected style to hand drawn images. We present analgorithm that uses multiple stages; subdivision of animage into selected geons, extraction of correspondingdatasets from additional images, analysis and characterisationof the artist’s style and finally transferringthe artist’s style to target images. When transferringthe artist’s style we use a complexity sensitive scalingalgorithm to avoid artefacts. We apply this algorithmto line drawn cartoons and demonstrate that artisticstyle can be transferred between cartoon objects. Ourresults show that analysis of object proportions can beused practically to ensure consistency for objects withthe same Geon structure but drawn by di↵erent artists.
Adaptive-Latency DRAM: Reducing DRAM Latency by Exploiting Timing Margins

This paper summarizes the idea of Adaptive-Latency DRAM (AL-DRAM), which was published in HPCA 2015, and examines the work's significance and future potential. AL-DRAM is a mechanism that optimizes DRAM latency based on the DRAM module and the operating temperature, by exploiting the extra margin that is built into the DRAM timing parameters. DRAM manufacturers provide a large margin for the timing parameters as a provision against two worst-case scenarios. First, due to process variation, some outlier DRAM chips are much slower than others. Second, chips become slower at higher temperatures. The timing parameter margin ensures that the slow outlier chips operate reliably at the worst-case temperature, and hence leads to a high access latency. Using an FPGA-based DRAM testing platform, our work first characterizes the extra margin for 115 DRAM modules from three major manufacturers. The experimental results demonstrate that it is possible to reduce four of the most critical timing parameters by a minimum/maximum of 17.3%/54.8% at 55C while maintaining reliable operation. AL-DRAM uses these observations to adaptively select reliable DRAM timing parameters for each DRAM module based on the module's current operating conditions. AL-DRAM does not require any changes to the DRAM chip or its interface; it only requires multiple different timing parameters to be specified and supported by the memory controller. Our real system evaluations show that AL-DRAM improves the performance of memory-intensive workloads by an average of 14% without introducing any errors. Our characterization and proposed techniques have inspired several other works on analyzing and/or exploiting different sources of latency and performance variation within DRAM chips.
Feature extraction and background information detection method using power demand

Recently, many electricity retailers have been aggregating consumer power demand information from smart meter infrastructure, and applications that utilize these data are widely studied. For example, the estimation of customers' background information using their power demand information has attracted much interest; this information can be utilized in the marketing field for background-targeted advertising. In order to utilize power demand information effectively, an appropriate feature extraction method must be applied. In this paper, appropriate data extraction methods specific to power demand information are proposed. In the experiment, power demand data for Kawasaki city were used, and 19 feature data were extracted using the proposed method. The utility of the extracted features was assessed through the performance of classification estimation for two background information types, family structure and floor space. The classification problems are solved by applying two typical machine-learning algorithms, the support vector machine and k-nearest neighbor. In particular, analysis of variance (ANOVA) was applied to the 19 feature data, which were ranked according to the F value. Then, the n (n = [1, 2, 19]) best feature data were used as the input step by step, and the score for each condition was computed to derive the best feature set. According to the results, some of the feature data were considered to be irrelevant, and the best feature data set was successfully selected. Furthermore, thee scores when raw data were input were also computed and compared with the scores when the best feature data set was used. As a result, the performance was better when using processed data instead of raw data.
Apply Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level

In neural machine translation (NMT), researchers face the challenge of un-seen (or out-of-vocabulary OOV) words translation. To solve this, some researchers propose the splitting of western languages such as English and German into sub-words or compounds. In this paper, we try to address this OOV issue and improve the NMT adequacy with a harder language Chinese whose characters are even more sophisticated in composition. We integrate the Chinese radicals into the NMT model with different settings to address the unseen words challenge in Chinese to English translation. On the other hand, this also can be considered as semantic part of the MT system since the Chinese radicals usually carry the essential meaning of the words they are constructed in. Meaningful radicals and new characters can be integrated into the NMT systems with our models. We use an attention-based NMT system as a strong baseline system. The experiments on standard Chinese-to-English NIST translation shared task data 2006 and 2008 show that our designed models outperform the baseline model in a wide range of state-of-the-art evaluation metrics including LEPOR, BEER, and CharacTER, in addition to the traditional BLEU and NIST scores, especially on the adequacy-level translation. We also have some interesting findings from the results of our various experiment settings about the performance of words and characters in Chinese NMT, which is different with other languages. For instance, the full character level NMT may perform very well or the state of the art in some other languages as researchers demonstrated recently, however, in the Chinese NMT model, word boundary knowledge is important for the model learning.
The Effectiveness and Long-Term Outcome of Conjunctivodacryocystorhinostomy With Frosted Jones Tubes.

PURPOSE To describe success rates and long-term outcomes of conjunctivodacryocystorhinostomy (CDCR) with frosted Jones tubes (FJT) for epiphora with proximal outflow obstruction. METHODS A retrospective chart review of all patients undergoing external and endoscopic CDCR with FJTs by one author (RAD) was performed between January 1, 2006 and November 1, 2014 at the Casey Eye Institute. Patient demographics, etiology of tearing, concurrent endonasal and eyelid procedures, and FJT size were recorded. After CDCR, follow-up time, tube size changes, tube position, and tearing status were noted. Exclusion criteria included follow up less than 6 months and/or prior CDCR. The study was IRB approved, HIPAA compliant, and adherent to the declaration of Helsinki. RESULTS Forty-two eyes of 31 patients met the inclusion criteria, with the majority having epiphora from canalicular obstruction (31%) or flaccid canaliculi (31%). Average follow up was 1,088 days. Forty of 42 eyes, or 30 of 31 patients, had complete resolution of tearing after surgery. Twenty of 42 eyes required tube size changes, usually an increase in collar size (45%) and/or decrease in tube length (55%). Six of 42 FJTs were lost, one migrating outward, with an average time to loss between 61 and 1,122 days (mean 817 days). After collars larger than 4 mm became available, only one tube was lost. All epiphora resolved after repeat CDCR. The most common complication was intermittent irritation (17%) near the FJT that resolved after antibiotic-steroid drops and/or tube replacement/cleaning. CONCLUSION CDCR with FJTs is highly effective in correcting epiphora, and well tolerated by the majority.
Pulsed-PECVD Films from Hexamethylcyclotrisiloxane for Use as Insulating Biomaterials

Thin films produced by plasma-enhanced chemical vapor deposition (PECVD) have potential application as conformal coatings on implantable devices with complex topologies and small dimensions. Coatings on such devices need to be biocompatible, insulating, and flexible enough to minimize static forces on the surrounding tissue. In this study, we describe the use of pulsed-PECVD to deposit thin films from hexamethylcyclotrisiloxane (D3). Pulsed-PECVD is a method in which plasma excitation is modulated to favor deposition from neutral and radical species. Thin, conformal coatings were demonstrated on nonplanar substrates suitable for implantation, such as copper wires and neural probes. Coatings were resistant to prolonged immersion in warm saline solution, and wire coatings produced by pulsed-PECVD showed more flexibility than analogous coatings deposited by continuous-wave (CW) excitation. Using Fourier transform infrared spectroscopy, it was demonstrated that the mode of plasma excitation is important in de.
Superconducting Optoelectronic Neurons I: General Principles

The design of neural hardware is informed by the prominence of differentiated processing and information integration in cognitive systems. The central role of communication leads to the principal assumption of the hardware platform: signals between neurons should be optical to enable fanout and communication with minimal delay. The requirement of energy efficiency leads to the utilization of superconducting detectors to receive single-photon signals. We discuss the potential of superconducting optoelectronic hardware to achieve the spatial and temporal information integration advantageous for cognitive processing, and we consider physical scaling limits based on light-speed communication. We introduce the superconducting optoelectronic neurons and networks that are the subject of the subsequent papers in this series.
Periodontal Wound Healing by Transplantation of Jaw Bone Marrow-Derived Mesenchymal Stem Cells in Chitosan/Anorganic Bovine Bone Carrier Into One-Wall Infrabony Defects in Beagles.

BACKGROUND This study aims to evaluate the performance of chitosan/anorganic bovine bone (C/ABB) scaffold seeded with human jaw bone marrow-derived mesenchymal stem cells (hJBMMSCs) in supporting the healing/repair of 1-wall critical-size periodontal defects. METHODS Physical properties of the C/ABB scaffold were compared with those of the chitosan scaffold. hJBMMSCs were obtained from healthy human alveolar bone during the extraction of third molar impacted teeth. One-wall (7 × 4 mm) infrabony defects were surgically created at the bilateral mandibular third premolars and first molars in six beagles. The defects were randomly assigned to six groups and implanted with different scaffolds: 1) chitosan (C) scaffold; 2) C scaffold with hJBMMSCs (C + cell); 3) C/ABB scaffold (C/ABB); 4) C/ABB scaffold with hJBMMSCs (C/ABB + cell); 5) ABB scaffold (ABB); and 6) open flap debridement (control). The animals were euthanized 8 weeks after surgery for histologic analysis. RESULTS The C/ABB scaffold had a porous structure and increased compressive strength. Both C/ABB and C/ABB + cell exhibited the newly formed cellular mixed-fiber cementum, woven/lamellar bone, and periodontal ligament. Cementum formation was significantly greater in group C/ABB + cell than in group C/ABB (2.64 ± 0.50 mm versus 0.91 ± 0.55 mm, P <0.05). For new bone (NB) height, group C/ABB + cell and C/ABB showed mean ± SD values of 2.83 ± 0.29 mm and 2.65 ± 0.52 mm and for NB area 8.89 ± 1.65 mm and 8.73 ± 1.94 mm(2), respectively. For NB (height and area), there was no significant difference between the two groups. CONCLUSIONS The combination of hJBMMSCs and C/ABB scaffolds could promote periodontal repair. Future studies are expected to further optimize the combination and lead to an ideal periodontal regeneration.