Investigating Linguistic Alignment in Collaborative Dialogue: A Study of Syntactic and Lexical Patterns in Middle School Students.

Linguistic alignment, the tendency of speakers to share common linguistic features during conversations, has emerged as a key area of research in computer-supported collaborative learning. While previous studies have shown that linguistic alignment can have a significant impact on collaborative outcomes, there is limited research exploring its role in K-12 learning contexts. This study investigates syntactic and lexical linguistic alignments in a collaborative computer science-learning corpus from 24 pairs (48 individuals) of middle school students (aged 11-13). The results show stronger effects of self-alignment than partner alignment on both syntactic and lexical levels, with students often diverging from their partners on task-relevant words. Furthermore, student self-alignment on the syntactic level is negatively correlated with partner satisfaction ratings, while self-alignment on lexical level is positively correlated with their partner's satisfaction.

Comparison of performance of automatic recognizers for stutters in speech trained with event or interval markers.

Introduction: Automatic recognition of stutters (ARS) from speech recordings can facilitate objective assessment and intervention for people who stutter. However, the performance of ARS systems may depend on how the speech data are segmented and labelled for training and testing. This study compared two segmentation methods: event-based, which delimits speech segments by their fluency status, and interval-based, which uses fixed-length segments regardless of fluency. Methods: Machine learning models were trained and evaluated on interval-based and event-based stuttered speech corpora. The models used acoustic and linguistic features extracted from the speech signal and the transcriptions generated by a state-of-the-art automatic speech recognition system. Results: The results showed that event-based segmentation led to better ARS performance than interval-based segmentation, as measured by the area under the curve (AUC) of the receiver operating characteristic. The results suggest differences in the quality and quantity of the data because of segmentation method. The inclusion of linguistic features improved the detection of whole-word repetitions, but not other types of stutters. Discussion: The findings suggest that event-based segmentation is more suitable for ARS than interval-based segmentation, as it preserves the exact boundaries and types of stutters. The linguistic features provide useful information for separating supra-lexical disfluencies from fluent speech but may not capture the acoustic characteristics of stutters. Future work should explore more robust and diverse features, as well as larger and more representative datasets, for developing effective ARS systems.

Sequence introgression from exogenous lineages underlies genomic and biological differences among Cryptosporidium parvum IOWA lines.

The IOWA strain of Cryptosporidium parvum is widely used in studies of the biology and detection of the waterborne pathogens Cryptosporidium spp. While several lines of the strain have been sequenced, IOWA-II, the only reference of the original subtype (IIaA15G2R1), exhibits significant assembly errors. Here we generated a fully assembled genome of IOWA-CDC of this subtype using PacBio and Illumina technologies. In comparative analyses of seven IOWA lines maintained in different laboratories (including two sequenced in this study) and 56 field isolates, IOWA lines (IIaA17G2R1) with less virulence had mixed genomes closely related to IOWA-CDC but with multiple sequence introgressions from IOWA-II and unknown lineages. In addition, the IOWA-IIaA17G2R1 lines showed unique nucleotide substitutions and loss of a gene associated with host infectivity, which were not observed in other isolates analyzed. These genomic differences among IOWA lines could be the genetic determinants of phenotypic traits in C. parvum. These data provide a new reference for comparative genomic analyses of Cryptosporidium spp. and rich targets for the development of advanced source tracking tools.

SOMAScience: A Novel Platform for Multidimensional, Longitudinal Pain Assessment.

Chronic pain is one of the most significant health issues in the United States, affecting more than 20% of the population. Despite its contribution to the increasing health crisis, reliable predictors of disease development, progression, or treatment outcomes are lacking. Self-report remains the most effective way to assess pain, but measures are often acquired in sparse settings over short time windows, limiting their predictive ability. In this paper, we present a new mobile health platform called SOMAScience. SOMAScience serves as an easy-to-use research tool for scientists and clinicians, enabling the collection of large-scale pain datasets in single- and multicenter studies by facilitating the acquisition, transfer, and analysis of longitudinal, multidimensional, self-report pain data. Data acquisition for SOMAScience is done through a user-friendly smartphone app, SOMA, that uses experience sampling methodology to capture momentary and daily assessments of pain intensity, unpleasantness, interference, location, mood, activities, and predictions about the next day that provide personal insights into daily pain dynamics. The visualization of data and its trends over time is meant to empower individual users' self-management of their pain. This paper outlines the scientific, clinical, technological, and user considerations involved in the development of SOMAScience and how it can be used in clinical studies or for pain self-management purposes. Our goal is for SOMAScience to provide a much-needed platform for individual users to gain insight into the multidimensional features of their pain while lowering the barrier for researchers and clinicians to obtain the type of pain data that will ultimately lead to improved prevention, diagnosis, and treatment of chronic pain.

Real-world four-year functional and surgical outcomes of Rezum therapy in younger versus elderly men.

BACKGROUND: Management of urinary symptoms in elderly patients with benign prostatic hyperplasia (BPH) is complex given challenges with medications and invasive surgeries. Rezum, a minimally invasive water vapor therapy, is an emerging alternative. We compare real-world Rezum outcomes between young and elderly patients over 4 years. METHODS: We retrospectively analyzed a multiethnic population treated with Rezum at a single center between 2017-2019. Patients were stratified into young (<65 years) or elderly (≥65 years) cohorts. International Prostate Symptom Score (IPSS), Quality of Life (QoL), maximum urinary flow rate (Qmax), decisional regret scores, and adverse events (AEs) were assessed at baseline, 1-, 3-, 6-, 12-, and/or 48-months. Descriptive statistics were compared using t-tests, Chi-squared, or Mann-Whitney U tests. Changes in outcomes were assessed using Wilcoxon signed-rank tests, stratified by age. RESULTS: 256 patients - 146 (57%) young and 110 (43%) elderly - were included. The majority were Asian (33.2%) or non-Hispanic Black (28.9%). Significant improvements were observed in the combined cohort at 4-years in IPSS, QoL, and Qmax when compared to baseline (all p < 0.05). Between the age cohorts, there were no significant differences in IPSS, QoL, or Qmax at any follow-up. Within both cohorts, significant improvements in IPSS and QoL were found from baseline to all follow-ups. In the young cohort, Qmax was significantly improved from baseline to all follow-ups while in the elderly cohort, this was observed only at the 3-month follow-up. No significant differences in AEs or regret was found between cohorts. There was no significant difference in 4-year surgical retreatment rates between cohorts (elderly 4.0% vs young 4.4%, p = 0.86). CONCLUSIONS: There were no significant differences in IPSS, QoL, or AEs between elderly and younger men over 4 years following Rezum, suggesting comparable benefits and risks. Future research is warranted to clarify the impact of Rezum on Qmax in elderly men.

Electronic Health Record Usage Patterns Across Surgical Subspecialties.

OBJECTIVES: This study aimed to utilize metrics from physician action logs to analyze surgeon clinical, volume, electronic health record (EHR) efficiency, EHR proficiency, and workload outside scheduled time as impacted by physician characteristics such as years of experience, gender, subspecialty, academic title, and administrative title. METHODS: We selected 30 metrics from Epic Signal, an analytic tool in Epic that extracts metrics related to clinician documentation. Metrics measuring appointments, messages, and scheduled hours per day were used as a correlate for volume. EHR efficiency, and proficiency were measured by scores built into Epic Signal. Metrics measuring time spent in the EHR outside working hours were used as a correlate for documentation burden. We analyzed these metrics among surgeons at our institution across 4 months and correlated them with physician characteristics. RESULTS: Analysis of 133 surgeons showed that, when stratified by gender, female surgeons had significantly higher EHR metrics for time per day, time per appointment, and documentation burden, and significantly lower EHR metrics for efficiency when compared to male surgeons. When stratified by experience, surgeons with 0 to 5 years of experience had significantly lower EHR metrics for volume, time per day, efficiency, and proficiency when compared to surgeons with 6 to 10 and more than 10 years of experience. On multivariate analysis, having over 10 years of experience was an independent predictor of more appointments per day, greater proficiency, and spending less time per completed message. Female gender was an independent predictor of spending more time in notes per appointment and time spent in the EHR outside working hours. CONCLUSION: The burden associated with volume, proficiency, efficiency, and workload outside scheduled time related to EHR use varies by gender and years of experience in our cohort of surgeons. Evaluation of physician action logs could help identify those at higher risk of burnout due to burdensome medical documentation.

Factors affecting judgment accuracy when scoring children's responses to non-word repetition stimuli in real time.

BACKGROUND: Non-word repetition (NWR) tests are an important way speech and language therapists (SaLTs) assess language development. NWR tests are often scored whilst participants make their responses (i.e., in real time) in clinical and research reports (documented here via a secondary analysis of a published systematic review). AIMS: The main aim was to determine the extent to which real-time coding of NWR stimuli at the whole-item level (as correct/incorrect) was predicted by models that had varying levels of detail provided from phonemic transcriptions using several linear mixed method (LMM) models. METHODS & PROCEDURES: Live scores and recordings of responses on the universal non-word repetition (UNWR) test were available for 146 children aged between 3 and 6 years where the sample included all children starting in five UK schools in one year or two consecutive years. Transcriptions were made of responses to two-syllable NWR stimuli for all children and these were checked for reliability within and between transcribers. Signal detection analysis showed that consonants were missed when judgments were made live. Statistical comparisons of the discrepancies between target stimuli and transcriptions of children's responses were then made and these were regressed against live score accuracy. Six LMM models (three normalized: 1a, 2a, 3a; and three non-normalized: 1b, 2b, 3b) were examined to identify which model(s) best captured the data variance. Errors on consonants for live scores were determined by comparison with the transcriptions in the following ways (the dependent variables for each pair of models): (1) consonants alone; (2) substitutions, deletions and insertions of consonants identified after automatic alignment of live and transcribed materials; and (3) as with (2) but where substitutions were coded further as place, manner and voicing errors. OUTCOMES & RESULTS: The normalized model that coded consonants in non-words as 'incorrect' at the level of substitutions, deletions and insertions (2b) provided the best fit to the real-time coding responses in terms of marginal R2, Akaike's information criterion (AIC) and Bayesian information criterion (BIC) statistics. CONCLUSIONS & IMPLICATIONS: Errors that occur on consonants when non-word stimuli are scored in real time are characterized solely by the substitution, deletion and insertion measure. It is important to know that such errors arise when real-time judgments are made because NWR tasks are used to assess and diagnose several cognitive-linguistic impairments. One broader implication of the results is that future work could automate the analysis procedures to provide the required information objectively and quickly without having to transcribe data. WHAT THIS PAPER ADDS: What is already known on this subject Children and patients with a wide range of cognitive and language difficulties are less accurate relative to controls when they attempt to repeat non-words. Responses to non-words are often scored as correct or incorrect at the time the test is conducted. Limited assessments of this scoring procedure have been conducted to date. What this study adds to the existing knowledge Live NWR scores made by 146 children were available and the accuracy of these judgements was assessed here against ones based on phonemic transcriptions. Signal detection analyses showed that live scoring missed consonant errors in children's responses. Further analyses, using linear mixed effect models, showed that live judgments led to consonant substitution, deletion and insertion errors. What are the practical and clinical implications of this work? Improved and practicable NWR scoring procedures are required to provide SaLTs with better indications about children's language development (typical and atypical) and for clinical assessments of older people. The procedures currently used miss substitutions, deletions and insertions. Hence, procedures are required that provide the information currently only available when materials are transcribed manually. The possibility of training automatic speech recognizers to provide this level of detail is raised.

Evolution of More Aggressive LDL-Cholesterol Targets and Therapies for Cardiovascular Disease Prevention.

Over the last half-century, discussions on the exact targets for low-density lipoprotein cholesterol (LDL-C) reduction have evolved towards a more aggressive approach with lower LDL-C targets, particularly for high-risk patients with pre-existing atherosclerotic cardiovascular disease (ASCVD). A wealth of cardiovascular outcome trials have shown the efficacy of statin therapy in general, as well as the incremental impact of high-intensity statin therapy in particular. More recent trials have further demonstrated the impact of non-statin therapies, including ezetimibe, proprotein convertase subtilisin/kexin type 9 inhibitors, and, most recently, bempedoic acid, on reducing ASCVD outcomes. The availability of these and other newer therapies has prompted clinicians to strive for lower LDL-C targets to address residual ASCVD risk after statin therapy. This paper will provide an overview of the historical trends in lipid management and therapeutics and review the current state of evidence for lower LDL-C targets in clinical guidelines and recommendations.

Use of Upadacitinib in 16 Tofacitinib-refractory Ulcerative Colitis Patients: A Single-center Case 2Series.

We present a case series of 16 patients with ulcerative colitis who received upadacitinib after failing tofacitinib. Five patients (36%) achieved steroid-free clinical remission. Five (62%) demonstrated endoscopic response, while 2 patients (25%) achieved endoscopic remission. Adverse events were low.

A search-based geographic metadata curation pipeline to refine sequencing institution information and support public health.

Background: The National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) has amassed a vast reservoir of genetic data since its inception in 2007. These public data hold immense potential for supporting pathogen surveillance and control. However, the lack of standardized metadata and inconsistent submission practices in SRA may impede the data's utility in public health. Methods: To address this issue, we introduce the Search-based Geographic Metadata Curation (SGMC) pipeline. SGMC utilized Python and web scraping to extract geographic data of sequencing institutions from NCBI SRA in the Cloud and its website. It then harnessed ChatGPT to refine the sequencing institution and location assignments. To illustrate the pipeline's utility, we examined the geographic distribution of the sequencing institutions and their countries relevant to polio eradication and categorized them. Results: SGMC successfully identified 7,649 sequencing institutions and their global locations from a random selection of 2,321,044 SRA accessions. These institutions were distributed across 97 countries, with strong representation in the United States, the United Kingdom and China. However, there was a lack of data from African, Central Asian, and Central American countries, indicating potential disparities in sequencing capabilities. Comparison with manually curated data for U.S. institutions reveals SGMC's accuracy rates of 94.8% for institutions, 93.1% for countries, and 74.5% for geographic coordinates. Conclusion: SGMC may represent a novel approach using a generative AI model to enhance geographic data (country and institution assignments) for large numbers of samples within SRA datasets. This information can be utilized to bolster public health endeavors.

Lung Cancer in Never Smokers: Delving into Epidemiology, Genomic and Immune Landscape, Prognosis, Treatment, and Screening.

Lung cancer in never smokers (LCINS) represents a growing and distinct entity within the broader landscape of lung malignancies. This review provides a comprehensive overview of LCINS, encompassing its epidemiologic trends, risk factors, distinct genomic alterations, clinical outcomes and the ongoing initiative aimed at formulating screening guidelines tailored to this unique population. As LCINS continues to gain prominence, understanding its intricate genomic landscape has become pivotal for tailoring effective therapeutic strategies. Moreover, LCINS does not meet the criteria for lung cancer screening as per the current guidelines. Hence, there is an urgent need to explore its heterogeneity in order to devise optimal screening guidelines conducive to early-stage detection. This review underscores the vital importance of detailed research to elucidate the multifaceted nature of LCINS, with the potential to shape future clinical management and screening recommendations for this unique and growing patient cohort.

Global database of cement production assets and upstream suppliers.

Cement producers and their investors are navigating evolving risks and opportunities as the sector's climate and sustainability implications become more prominent. While many companies now disclose greenhouse gas emissions, the majority from carbon-intensive industries appear to delegate emissions to less efficient suppliers. Recognizing this, we underscore the necessity for a globally consolidated asset-level dataset, which acknowledges production inputs provenance. Our approach not only consolidates data from established sources like development banks and governments but innovatively integrates the age of plants and the sourcing patterns of raw materials as two foundational variables of the asset-level data. These variables are instrumental in modeling cement production utilization rates, which in turn, critically influence a company's greenhouse emissions. Our method successfully combines geospatial computer vision and Large Language Modelling techniques to ensure a comprehensive and holistic understanding of global cement production dynamics.

Travel time to cataract surgical services in Kenya, Malawi and Rwanda: demonstrating a standardised indicator of physical access to cataract surgery.

BACKGROUND: Travel time can be used to assess health services accessibility by reflecting the proximity of services to the people they serve. We aimed to demonstrate an indicator of physical access to cataract surgery and identify subnational locations where people were more at risk of not accessing cataract surgery. METHODS: We used an open-access inventory of public health facilities plus key informants in Kenya, Malawi and Rwanda to compile a geocoded inventory of cataract facilities. For each country, gridded estimates of the population aged ≥ 50 years and a travel-time friction surface were combined and a least-cost-path algorithm applied to estimate the shortest travel time between each grid and the nearest cataract facility. We categorised continuous travel time by 1-, 2- and 3 h thresholds and calculated the proportion of the population in each category. RESULTS: At the national level, the proportion of the population aged ≥ 50 years within 2 h travel time to permanent cataract surgical services was 97.2% in Rwanda (n = 10 facilities), 93.5% in Kenya (n = 74 facilities) and 92.0% in Malawi (n = 6 facilities); this reduced to 77.5%, 84.1% and 52.4% within 1 h, respectively. The least densely populated subnational regions had the poorest access to cataract facilities in Malawi (0.0%) and Kenya (1.9%). CONCLUSION: We demonstrated an indicator of access that reflects the distribution of the population at risk of age-related cataract and identifies regions that could benefit from more accessible services. This indicator provides additional demand-side context for eye health planning and supports WHO's goal of advancing integrated people-centred eye care.

Background, techniques, applications, current trends, and future directions of minimally invasive endoscopic spine surgery: A review of literature.

Across many of the surgical specialties, the use of minimally invasive techniques that utilize indirect visualization has been increasingly replacing traditional techniques which utilize direct visualization. Arthroscopic surgery of the appendicular skeleton has evolved dramatically and become an integral part of musculoskeletal surgery over the last several decades, allowing surgeons to achieve similar or better outcomes, while reducing cost and recovery time. However, to date, the axial skeleton, with its close proximity to critical neural and vascular structures, has not adopted endoscopic techniques at as rapid of a rate. Over the past decade, increased patient demand for less invasive spine surgery combined with surgeon desire to meet these demands has driven significant evolution and innovation in endoscopic spine surgery. In addition, there has been an enormous advancement in technologies that assist in navigation and automation that help surgeons circumvent limitations of direct visualization inherent to less invasive techniques. There are currently a multitude of endoscopic techniques and approaches that can be utilized in the treatment of spine disorders, many of which are evolving rapidly. Here we present a review of the field of endoscopic spine surgery, including the background, techniques, applications, current trends, and future directions, to help providers gain a better understanding of this growing modality in spine surgery.

Efficacy and safety of the Rezum system for the treatment of catheter-dependent urinary retention: Three-year real-world outcomes in a multimorbid, multiethnic population.

OBJECTIVES: To evaluate the long-term real-world efficacy and safety of Rezum for the treatment of catheter-dependent urinary retention in a multimorbid, multiethnic population. METHODS: A single-office, retrospective study was conducted on patients treated with Rezum between 2017 and 2019. Patients were included if they had catheter-dependent urinary retention prior to treatment and at least one follow-up within 36 months postoperatively. Patient demographics, procedural characteristics, adverse events (AEs), and outcome measures, including benign prostate hyperplasia (BPH) medication usage and postvoid residual (PVR), were collected at 3, 6, 12, and/or 36 months postoperatively. Regret was assessed at 36 months using the 5-item Decisional Regret Scale (DRS). RESULTS: A total of 27 patients met the inclusion criteria, with the majority being Asian (29.6%), followed by non-Hispanic Black (26.0%) and Hispanic (22.2%). Most patients (77.8%) had at least one comorbidity. Trial of void (TOV) was attempted at a median of 8 days (7, 13). Fourteen patients (51.9%) failed their initial TOV. Median time until catheter independence was 13.5 days (8.5, 28.8). Common AEs included urinary retention (51.9%), urinary tract infections (UTIs) (25.9%), and dysuria (25.9%). All cases of UTIs (7/7) and most cases of dysuria (6/7) occurred in patients who failed their initial TOV. At 36 months, there was a significant median percentage change in PVR (-100.0% [-100.0, -36.7], p = .049), and 40.4% of patients discontinued their BPH medications (p = .001). Of the 11 patients who filled out the DRS, 10 (90.9%) agreed/strongly agreed that they made the right decision. By 36 months, 4 patients (14.8%) underwent reoperation and 24 (88.9%) remained catheter-independent. CONCLUSIONS: At long-term follow-up, Rezum effectively treated catheter-dependent urinary retention with minimal decisional regret. In patients with urinary retention, urologists should consider delaying TOV until 2 weeks postoperatively to maximize the likelihood of a successful TOV and minimize the risk of AEs.

Opioid Prescription Patterns 90 Days After Arthroscopic Rotator Cuff Repair: A 10-Year National Database Analysis.

Background: Arthroscopic rotator cuff repair (ARCR) is a common procedure that typically requires opioid prescription for postoperative pain management. Purpose: To investigate the current prescription patterns and factors influencing 90-day postoperative opioid prescription trends for opioid-naïve patients who underwent ARCR. Study Design: Case series; Level of evidence, 4. Methods: Opioid-naïve adult patients who underwent ARCR between January 2010 and September 2020 and had a record of opioid prescriptions during the 90-day postoperative period were identified in the PearlDiver Mariner91 national administrative database. Exclusions included patients with prior shoulder procedures, a history of chronic pain, and opioid prescription records dated earlier than 4 weeks before surgery. Covariates included age group, sex, Elixhauser Comorbidity Index, and prescriber specialty (orthopaedic or nonorthopaedic). The primary outcome-90-day postoperative morphine milligram equivalents (MMEs) prescribed per patient-was compared using univariate and multivariate regression analyses, and 90-day postoperative opioid prescription trends over the 10-year study period were analyzed with linear regression. Results: In total, 55,345 ARCR cases were identified. The mean ± SD amount prescribed within the first 90 days was 742.4 ± 256.5 MMEs, and the median was 487.5 MMEs. Multivariate linear regression analysis predicted higher 90-day postoperative MMEs for female patients and younger patients (P < .01 for both). From 2010 to 2020, there was a 66% decrease in mean MME prescribed per patient (▵ = 660.4 MME; P < .01), with a mean reduction of 55.1 MME per patient per year. In 2020, the mean 90-day postoperative amount prescribed was 341.1 MME, which is equivalent to 51 tablets of 5-mg oxycodone (Percocet). Conclusion: Female sex and younger age were predictors of more MME being prescribed after ARCR. While opioid prescriptions following ARCR have substantially decreased over the past decade, the amount prescribed warrants further attention.

Rezum water vapor therapy for patients with mild, moderate, or severe lower urinary tract symptoms: A retrospective study in a multiethnic population.

BACKGROUND: The Rezum System (Rezum) represents a novel, minimally invasive surgical therapy used to treat lower urinary tract symptoms (LUTS) secondary to benign prostatic hyperplasia (BPH). We evaluated the safety and efficacy of Rezum in patients with mild, moderate, or severe LUTS. METHODS: A single office, retrospective study was conducted on patients from a multiethnic population treated with Rezum between 2017 and 2019. Patients were categorized into three cohorts based on baseline International Prostate Symptom Score (IPSS) LUTS severity: mild LUTS (IPSS ≤ 7), moderate LUTS (IPSS 8-19), or severe LUTS (IPSS ≥ 20) cohorts. Outcome measures, including IPSS, quality of life (QoL), maximum urinary flow rate (Qmax), postvoid residual (PVR), BPH medication usage, and adverse events (AEs) were collected and analyzed at baseline, 1-, 3-, 6-, and/or 12-months postoperatively. RESULTS: A total of 238 patients were included: 33 with mild LUTS, 109 with moderate LUTS, and 96 with severe LUTS. At 1-month follow-up, the moderate and severe LUTS cohorts saw significant improvements in IPSS (moderate LUTS: -3.0 [-6.0, 1.5], p < 0.001; severe LUTS: -10.0 [-16.0, -5.0], p < 0.001) and QoL (moderate LUTS: -1.0 [-3.0, 0.0], p < 0.001; severe LUTS: -1.0 [-3.0, 0.0], p < 0.001) and improvements remained durable up to 12-months (p < 0.001). The mild LUTS cohort saw significant worsening in IPSS by 2.0 (0.0, 12.0) at 1-month (p = 0.002) but returned to baseline at 3-months (p = 0.114). However, the mild LUTS cohort experienced significant improvements in QoL by -0.5 (-3.0, 0.0) at 3-months (p = 0.035) and nocturia by 0.0 (-1.0, 0.0) at 6-months (p = 0.002), both of which remained durable to 12-months (p < 0.05). Most AEs were transient and nonserious, with gross hematuria (66.5%) being most common. There were no significant differences in QoL point reduction, Qmax improvement, PVR reduction, and AE occurrence between the cohorts at 12-months (p > 0.05). At 12-months, 80.0%, 87.5%, and 66.0% of the patients in the mild, moderate, and severe LUTS cohorts discontinued their BPH medications, respectively. CONCLUSIONS: Rezum provides rapid and durable relief in LUTS in patients with moderate or severe LUTS and can be offered to patients with mild LUTS who have bothersome nocturia and wish to discontinue their BPH medications.

From sonority hierarchy to posterior probability as a measure of lenition: The case of Spanish stops.

A deep learning Phonet model was evaluated as a method to measure lenition. Unlike quantitative acoustic methods, recurrent networks were trained to recognize the posterior probabilities of sonorant and continuant phonological features in a corpus of Argentinian Spanish. When applied to intervocalic and post-nasal voiced and voiceless stops, the approach yielded lenition patterns similar to those previously reported. Further, additional patterns also emerged. The results suggest the validity of the approach as an alternative or addition to quantitative acoustic measures of lenition.