Recent years have seen increasingly complex question-answering on knowledge bases (KBQA) involving logical, quantitative, and comparative reasoning over KB subgraphs. Neural Program Induction (NPI) is a pragmatic approach toward modularizing the reasoning process by translating a complex natural language query into a multi-step executable program. While NPI has been commonly trained with the ‘‘gold’’ program or its sketch, for realistic KBQA applications such gold programs are expensive to obtain. There, practically only natural language queries and the corresponding answers can be provided for training. The resulting combinatorial explosion in program space, along with extremely sparse rewards, makes NPI for KBQA ambitious and challenging. We present Complex Imperative Program Induction from Terminal Rewards (CIPITR), an advanced neural programmer that mitigates reward sparsity with auxiliary rewards, and restricts the program space to semantically correct programs using high-level constraints, KB schema, and inferred answer type. CIPITR solves complex KBQA considerably more accurately than key-value memory networks and neural symbolic machines (NSM). For moderately complex queries requiring 2- to 5-step programs, CIPITR scores at least 3× higher F1 than the competing systems. On one of the hardest class of programs (comparative reasoning) with 5–10 steps, CIPITR outperforms NSM by a factor of 89 and memory networks by 9 times. 1

This study confirmed procedure process improvements resulting from system enhancements, with preservation of safety and effectiveness during use of a second-generation device for the treatment of LUTS attibutable to BPH in the largest single-institution study conducted to date.

Introduction:We analyzed the biochemical recurrence-free survival (BRFS) of patients with high-risk prostate cancer (HRCaP) as per the D’Amico classification undergoing radical prostatectomy (RP) at our center. We aimed to determine whether the number and type of risk factors (cT2c-T3b, prostate-specific antigen >20 ng/ml, Gleason score >7) are associated with biochemical recurrence (BCR) in HRCaP patients undergoing RP in the Indian population.Methods:Between 2006 and 2017, 192 patients underwent RP (open RP [ORP], laparoscopic RP [LRP], and robotic RP [RRP]) at our center, of which 109 had D’Amico HR disease. Preoperative, postoperative, and pathological outcome data were analyzed for patients with HR disease as per the D’Amico classification. Subgroups were formed to determine whether an increasing number of risk factors (1, 2, or 3) were associated with poorer oncological results and early BCR. The Kaplan–Meier method with log-rank test was used to test the difference in BRFS between the groups. Univariate and multivariate analyses were done to find significant variable against BCR.Results:According to the D’Amico criteria, 109 patients had HR, 63 patients had intermediate-risk, and 19 patients had low-risk disease. These 109 patients with HR disease were analyzed in our study (50 RRP, 33 ORP, and 26 LRP). A total of 59 (54.1%) patients had one HR factor (1HR), 44 (40%) had two HR factors (2HR), and 6 (5.5%) had three HR factors (3HR). The mean follow-up for our patient population was 21.5 ± 19 months (median 18 months; range, 0–108). Overall, the 2-year and 5-year BRFS was 45% and 35%, respectively (mean BRFS 46 ± 6 months). Two-year BRFS was 63%, 23%, and 22%, respectively, for 1HR, 2HR, and 3HR (logrank, P < 0.0001). The prognostic substratification based on the three risk factors was significantly predictive for adverse pathologic features and oncologic outcomes.Conclusion:Substratification based on the three well-defined criteria leads to a better identification of the more aggressive cancers and prediction of need for additional treatment modalities. Localized HRCaP includes a heterogeneous population of patients with variable oncological outcomes.

Opinionated expression extraction is a central problem in fine-grained sentiment analysis. Most existing works focus on either generic subjective expression or aspect expression extraction. However, in opinion mining, it is often desirable to mine the aspect specific opinion expressions (or aspectsentiment phrases) containing both the aspect and the opinion. This paper proposes a hybrid generative-discriminative framework for extracting such expressions. The hybrid model consists of (i) an unsupervised generative component for modeling the semantic coherence of terms (words/phrases) based on their collocations across different documents, and (ii) a supervised discriminative sequence modeling component for opinion phrase extraction. Experimental results using Amazon.com reviews demonstrate the effectiveness of the approach that significantly outperforms several state-of-the-art baselines.

Objective To assess feasibility of robot-assisted laparoscopic radical nephrectomy (RALRN) and inferior vena cava thrombectomy (IVCT) in treating renal tumours with level I–III IVC thrombi and to assess their outcomes. Patients and methods We conducted a retrospective analysis of RALRN-IVCTs, involving four centres across India, from September 2015 to June 2019. We analysed patients who underwent RALRN-IVCT for level I–III thrombi according to the Mayo classification. The total operative duration with console time, length of hospital stay, preoperative and postoperative creatinine, IVC clamp time and intraoperative blood loss were recorded. Results Of the 13 patients that underwent RALRN-IVCT, five had a level I thrombus, seven had level II, and one had a level III thrombus. In all, 11 of the patients had right-sided tumours and the remaining two had left-sided tumours. The mean (SD) age of the patients was 56.5 (12.3) years, the mean (SD) operative time was 329.5 (97.22) min, the mean (SD) console time was 222.5 (70) min, the mean (SD) blood loss was 395 (170) mL, and the mean (SD) IVC clamp time was 19.14 (9.5) min. The mean (SD) length of hospital stay was 7.8 (3.27) days. Of the 13 patients, 12 had clear cell renal cell carcinoma (RCC) and one had papillary RCC. The mean (range) follow-up was 19 (4–50) months. One patient had upfront metastasis and two patients developed metastasis, while 10 patients remained disease-free during the follow-up. Conclusion With appropriate patient selection, surgical planning and robotic experience, completely intracorporeal robotic level I–III IVCT is feasible and can be performed efficiently. Larger experiences, with longer follow-ups and comparisons with open surgery are needed to confirm these initial outcomes. Abbreviations ECOG: Eastern Cooperative Oncology Group; IVC: inferior vena cava; IVCT: inferior vena cava thrombectomy; (RAL)RN: (robot-assisted laparoscopic) radical nephrectomy