United States mining statutes annotated.

Mode of access: Internet.

Statistics of mines and mining in the states and territories west of the Rocky Mountains; being the [1st-8th] annual report of Rossiter W. Raymond, U.S. commissioner of mining statistics

8th, 1875, 44th Cong., 1st sess., House ex. doc. no. 159

The Mining magazine and journal of geology, mineralogy, metallurgy, chemistry and the arts

Mode of access: Internet.

United States mining laws and regulations thereunder

At head of title: General Land Office.

Recovery of oil by mining : hearing before the Subcommittee on Energy and Mineral Resources of the Committee on Energy and Natural Resources, United States Senate, Ninety-eighth Congress, second session, on the recovery of oil by mining, March 2, 1984.

Bibliography: p. 271.

Summary of selected injury experience and worktime for the mining industry in the United States, 1931-77 /

Chiefly tables.

Mineral land surveying : a technical treatise on the surveying and patenting of mineral land, designed for the use of Deputy Mineral Surveyors and Students of Mining Engineering, with an appendix of contributed notes of interest /

Reprint. Originally published: Denver : The Mining Reporter Publishing Company, 1906.

Engineering mechanics; electrical, civil, mechanical, and mining engineering.

Nos. [1]-240, 1882-91, form v. 1-13; nos. 241-310, 1892-Oct. 1897, have no volume numbers; nos. 311-336, Nov. 1897-1899, form v. 16, nos. 11-12, v. 17-18, no. 11.

Mining and scientific press.

Mode of access: Internet.

Mining laws of 1872 and 1989 : hearing before the Subcommittee on Mineral Resources Development and Production of the Committee on Energy and Natural Resources, United States Senate, One Hundred First Congress, first session, on S. 1126 ... June 7, 1989.

"September 13, 1990".

Mining Law Reform Act of 1991 and the Minerals Policy Review Commission Act of 1991 : hearing before the Subcommittee on Mineral Resources Development and Production of the Committee on Energy and Natural Resources, United States Senate, One Hundred Second Congress, first session, on S. 433 ... S. 785 ... June 11, 1991.

Item 1040-A, 1040-B (MF).

Summarized Reports of Principal Investigations Being Conducted at the Mining Experiment Stations of the Bureau of Mines

Mode of access: Internet.

Weakly supervised joint sentiment-topic detection from text

Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes a novel probabilistic modeling framework called joint sentiment-topic (JST) model based on latent Dirichlet allocation (LDA), which detects sentiment and topic simultaneously from text. A reparameterized version of the JST model called Reverse-JST, obtained by reversing the sequence of sentiment and topic generation in the modeling process, is also studied. Although JST is equivalent to Reverse-JST without a hierarchical prior, extensive experiments show that when sentiment priors are added, JST performs consistently better than Reverse-JST. Besides, unlike supervised approaches to sentiment classification which often fail to produce satisfactory performance when shifting to other domains, the weakly supervised nature of JST makes it highly portable to other domains. This is verified by the experimental results on data sets from five different domains where the JST model even outperforms existing semi-supervised approaches in some of the data sets despite using no labeled documents. Moreover, the topics and topic sentiment detected by JST are indeed coherent and informative. We hypothesize that the JST model can readily meet the demand of large-scale sentiment analysis from the web in an open-ended fashion.

Mining product adopter information from online reviews for improving product recommendation

We present in this article an automated framework that extracts product adopter information from online reviews and incorporates the extracted information into feature-based matrix factorization formore effective product recommendation. In specific, we propose a bootstrapping approach for the extraction of product adopters from review text and categorize them into a number of different demographic categories. The aggregated demographic information of many product adopters can be used to characterize both products and users in the form of distributions over different demographic categories. We further propose a graphbased method to iteratively update user- and product-related distributions more reliably in a heterogeneous user-product graph and incorporate them as features into the matrix factorization approach for product recommendation. Our experimental results on a large dataset crawled from JINGDONG, the largest B2C e-commerce website in China, show that our proposed framework outperforms a number of competitive baselines for product recommendation.

The conflict resolution behaviors of occupational therapy students as a function of the personality types, demographic characteristics and contextual factors

Interpersonal conflicts have the potential for detrimental consequences if not managed successfully. Understanding the factors that contribute to conflict resolution has implications for interpersonal relationships and the workplace. Researchers have suggested that personality plays an important and predictable role in conflict resolution behaviors (Chanin & Schneer, 1984; Kilmann & Thomas, 1975; Mills, Robey & Smith, 1985). However, other investigators have contended that contextual factors are important contributors in triggering the behavioral responses (Shoda & Mischel, 2000; Mischel & Shoda, 1995). The purpose of this study was to investigate the relationships among personality types, demographic characteristics and contextual factors on the conflict resolution behaviors reported by graduate occupational therapy students (n = 125). ^ The study design was correlational. The Myers Briggs Type Indicator (MBTI) and the Thomas-Kilmann (MODE) Instrument were used to establish the personality types and the context independent conflict resolution behaviors respectively. The effects of contextual factors of task vs. relationship and power were measured with the Conflict Case Scenarios Questionnaire (CCSQ). One-way ANOVA and linear regression procedures were used to test the relationships between personality types and demographic characteristics with the context independent conflict behaviors. Chi-Square procedures of the personality types by contextual conditions ascertained the effects of contexts in modifying the resolution modes. Descriptive statistics established a profile of the sample. ^ The results of the hypotheses tests revealed significant relationships between the personality types of feeling-thinking and sensing-intuition with the conflict resolution behaviors. The contextual attributes of task vs. relationship orientation and of peer vs. supervisor relationships were shown to modify the conflict behaviors. Furthermore, demographic characteristics of age, gender, GPA and educational background were shown to have an effect on the conflict resolution behaviors. The knowledge gained has implications for students' training, specifically understanding their styles and use of effective conflict resolution strategies. It also contributes to the knowledge on management approaches and interpersonal competencies and how this might facilitate the students' transition to the clinical role. ^