Source: http://www.science.gov/topicpages/0-9/2011-07-01+false+computer.html
Timestamp: 2016-10-21 11:15:44
Document Index: 789856306

Matched Legal Cases: ['§ 806', '§ 541', '§ 541', '§ 541', '§ 4000', '§ 701', '§ 1', 'ART 191', '§ 194', '§ 779', '§ 21', '§ 301', '§ 301', 'art 778', '§ 779', 'art 4000', '§ 794', '§ 794', '§ 783', '§ 351', '§ 359', 'ART 191', '§ 194', '§ 505', '§ 164', '§ 350', '§ 523', '§ 523', '§ 4000', '§ 4000', '§ 523', '§ 523', '§ 523', '§ 523', '§ 523', '§ 209', '§ 1955', '§ 91', '§ 17', '§ 523', '§ 778', '§ 2530', '§ 778']

2011-07-01 false computer: Topics by Science.gov
Sample records for 2011-07-01 false computer
32 CFR 806b.50 - Computer matching.
... 32 National Defense 6 2011-07-01 2011-07-01 false Computer matching. 806b.50 Section 806b.50... PROGRAM Disclosing Records to Third Parties § 806b.50 Computer matching. Computer matching programs... on forms used in applying for benefits. Coordinate computer matching statements on forms with...
29 CFR 541.402 - Executive and administrative computer employees.
... 29 Labor 3 2011-07-01 2011-07-01 false Executive and administrative computer employees. 541.402..., COMPUTER AND OUTSIDE SALES EMPLOYEES Computer Employees § 541.402 Executive and administrative computer employees. Computer employees within the scope of this exemption, as well as those employees not within...
29 CFR 541.400 - General rule for computer employees.
... 29 Labor 3 2011-07-01 2011-07-01 false General rule for computer employees. 541.400 Section 541... REGULATIONS DEFINING AND DELIMITING THE EXEMPTIONS FOR EXECUTIVE, ADMINISTRATIVE, PROFESSIONAL, COMPUTER AND OUTSIDE SALES EMPLOYEES Computer Employees § 541.400 General rule for computer employees. (a)...
29 CFR 541.401 - Computer manufacture and repair.
... 29 Labor 3 2011-07-01 2011-07-01 false Computer manufacture and repair. 541.401 Section 541.401... DEFINING AND DELIMITING THE EXEMPTIONS FOR EXECUTIVE, ADMINISTRATIVE, PROFESSIONAL, COMPUTER AND OUTSIDE SALES EMPLOYEES Computer Employees § 541.401 Computer manufacture and repair. The exemption...
... 29 Labor 9 2011-07-01 2011-07-01 false How do I compute a time period? 4000.43 Section 4000.43..., ISSUANCE, COMPUTATION OF TIME, AND RECORD RETENTION Computation of Time § 4000.43 How do I compute a time period? (a) In general. If you are computing a time period to which this part applies, whether you...
32 CFR 701.125 - Computer matching program.
... 32 National Defense 5 2011-07-01 2011-07-01 false Computer matching program. 701.125 Section 701... OF THE NAVY DOCUMENTS AFFECTING THE PUBLIC DON Privacy Program § 701.125 Computer matching program. The DPO has responsibility for coordinating the approval of DOD's participation in Computer...
... 37 Patents, Trademarks, and Copyrights 1 2011-07-01 2011-07-01 false Submission of computer... Models, Exhibits, Specimens § 1.96 Submission of computer program listings. (a) General. Descriptions of the operation and general content of computer program listings should appear in the...
40 CFR 194.23 - Models and computer codes.
... COMPLIANCE WITH THE 40 CFR PART 191 DISPOSAL REGULATIONS Compliance Certification and Re-certification General Requirements § 194.23 Models and computer codes. (a) Any compliance application shall include: (1... 40 Protection of Environment 25 2011-07-01 2011-07-01 false Models and computer codes....
29 CFR 779.342 - Methods of computing annual volume of sales.
... 29 Labor 3 2011-07-01 2011-07-01 false Methods of computing annual volume of sales. 779.342... Establishments Computing Annual Dollar Volume and Combination of Exemptions § 779.342 Methods of computing annual volume of sales. The tests as to whether an establishment qualifies for exemption under section...
34 CFR 464.42 - What limit applies to purchasing computer hardware and software?
... 34 Education 3 2011-07-01 2011-07-01 false What limit applies to purchasing computer hardware and... computer hardware and software? Not more than ten percent of funds received under any grant under this part may be used to purchase computer hardware or software. (Authority: 20 U.S.C. 1208aa(f))...
38 CFR 21.6074 - Computing the period of vocational training program participation.
... 38 Pensions, Bonuses, and Veterans' Relief 2 2011-07-01 2011-07-01 false Computing the period of... Vocational Training for Certain New Pension Recipients Duration of Training § 21.6074 Computing the period of vocational training program participation. (a) Computing the participation period. The number of months...
41 CFR 301-10.301 - How do I compute my mileage reimbursement?
... 41 Public Contracts and Property Management 4 2011-07-01 2011-07-01 false How do I compute my...-TRANSPORTATION EXPENSES Privately Owned Vehicle (POV) § 301-10.301 How do I compute my mileage reimbursement? You compute mileage reimbursement by multiplying the distance traveled, determined under § 301-10.302 of...
29 CFR 779.415 - Computing employee's compensation for the representative period.
... 29 Labor 3 2011-07-01 2011-07-01 false Computing employee's compensation for the representative... Computing employee's compensation for the representative period. (a) In determining for purposes of section.... (See part 778 of this chapter.) (b) In computing the employee's total compensation for...
29 CFR 779.418 - Grace period for computing portion of compensation representing commissions.
... 29 Labor 3 2011-07-01 2011-07-01 false Grace period for computing portion of compensation... § 779.418 Grace period for computing portion of compensation representing commissions. Where it is not practicably possible for the employer to compute the commission earnings of the employee for all...
29 CFR 4000.41 - What are these computation-of-time rules about?
... 29 Labor 9 2011-07-01 2011-07-01 false What are these computation-of-time rules about? 4000.41 Section 4000.41 Labor Regulations Relating to Labor (Continued) PENSION BENEFIT GUARANTY CORPORATION... these computation-of-time rules about? The rules in this subpart D of part 4000 tell you how to...
29 CFR 794.123 - Method of computing annual volume of sales.
... 29 Labor 3 2011-07-01 2011-07-01 false Method of computing annual volume of sales. 794.123 Section 794.123 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR... of Sales § 794.123 Method of computing annual volume of sales. (a) Where the enterprise, during...
29 CFR 794.126 - Computations for a new business.
... 29 Labor 3 2011-07-01 2011-07-01 false Computations for a new business. 794.126 Section 794.126 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR STATEMENTS... full calendar or fiscal year, the analysis can be made by the methods described in §§ 794.123 and...
29 CFR 779.269 - Computations for a new business.
... 29 Labor 3 2011-07-01 2011-07-01 false Computations for a new business. 779.269 Section 779.269 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR STATEMENTS... the Act. After the new business has been in operation for a full calendar or fiscal year, the...
29 CFR 783.43 - Computation of seaman's minimum wage.
... 29 Labor 3 2011-07-01 2011-07-01 false Computation of seaman's minimum wage. 783.43 Section 783.43...'s minimum wage. Section 6(b) requires, under paragraph (2) of the subsection, that an employee...'s minimum wage requirements by reason of the 1961 Amendments (see §§ 783.23 and 783.26)....
29 CFR 801.59 - Service and computation of time.
... 29 Labor 3 2011-07-01 2011-07-01 false Service and computation of time. 801.59 Section 801.59 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR OTHER LAWS APPLICATION OF THE EMPLOYEE POLYGRAPH PROTECTION ACT OF 1988 Administrative Proceedings Rules of...
34 CFR 461.45 - How does the Secretary compute maintenance of effort in the event of a waiver?
... 34 Education 3 2011-07-01 2011-07-01 false How does the Secretary compute maintenance of effort in the event of a waiver? 461.45 Section 461.45 Education Regulations of the Offices of the Department of... Secretary compute maintenance of effort in the event of a waiver? If a State has been granted a waiver...
29 CFR 778.208 - Inclusion and exclusion of bonuses in computing the “regular rate.”
... 29 Labor 3 2011-07-01 2011-07-01 false Inclusion and exclusion of bonuses in computing the âregular rate.â 778.208 Section 778.208 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR... Inclusion and exclusion of bonuses in computing the “regular rate.” Section 7(e) of the Act requires...
34 CFR 403.185 - How does the Secretary compute maintenance of effort in the event of a waiver?
... 34 Education 3 2011-07-01 2011-07-01 false How does the Secretary compute maintenance of effort in the event of a waiver? 403.185 Section 403.185 Education Regulations of the Offices of the Department....185 How does the Secretary compute maintenance of effort in the event of a waiver? If a State has...
38 CFR 21.8074 - Computing the period for vocational training program participation.
... 38 Pensions, Bonuses, and Veterans' Relief 2 2011-07-01 2011-07-01 false Computing the period for vocational training program participation. 21.8074 Section 21.8074 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS (CONTINUED) VOCATIONAL REHABILITATION AND EDUCATION Vocational Training and Rehabilitation for Certain...
38 CFR 4.76a - Computation of average concentric contraction of visual fields.
... 38 Pensions, Bonuses, and Veterans' Relief 1 2011-07-01 2011-07-01 false Computation of average concentric contraction of visual fields. 4.76a Section 4.76a Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS SCHEDULE FOR RATING DISABILITIES Disability Ratings The Organs of...
29 CFR 500.220 - Service of determinations and computation of time.
... 29 Labor 3 2011-07-01 2011-07-01 false Service of determinations and computation of time. 500.220 Section 500.220 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR REGULATIONS MIGRANT AND SEASONAL AGRICULTURAL WORKER PROTECTION Administrative Proceedings...
31 CFR 351.66 - What book-entry Series EE savings bonds are included in the computation?
... 31 Money and Finance:Treasury 2 2011-07-01 2011-07-01 false What book-entry Series EE savings... DEBT OFFERING OF UNITED STATES SAVINGS BONDS, SERIES EE Book-Entry Series EE Savings Bonds § 351.66 What book-entry Series EE savings bonds are included in the computation? (a) We include all bonds...
31 CFR 359.51 - What book-entry Series I savings bonds are included in the computation?
... 31 Money and Finance:Treasury 2 2011-07-01 2011-07-01 false What book-entry Series I savings bonds... DEBT OFFERING OF UNITED STATES SAVINGS BONDS, SERIES I Book-Entry Series I Savings Bonds § 359.51 What book-entry Series I savings bonds are included in the computation? (a) We include all bonds that...
31 CFR 256.33 - For what period of time is interest computed under 31 U.S.C. 1304(b)?
... 31 Money and Finance:Treasury 2 2011-07-01 2011-07-01 false For what period of time is interest computed under 31 U.S.C. 1304(b)? 256.33 Section 256.33 Money and Finance: Treasury Regulations Relating to....33 For what period of time is interest computed under 31 U.S.C. 1304(b)? Interest is computed...
False Computed Tomography Findings in Bilateral Choanal Atresia
Elsheikh, Ezzeddin; El-Anwar, Mohammad Waheed
Introduction Choanal atresia (CA) is a challenging surgical problem defined as a failure in the development of communication between the nasal cavity and nasopharynx. Objective The objective of this study is to describe computed tomography (CT) findings in cases with bilateral choanal atresia. Methods The study involved performing axial and coronal non-contrast CT scanning with 2–3 mm sections on14 neonates that had bilateral CA. We used fiberoptic nasal endoscopy to confirm the diagnosis. We evaluated coronal CT to study the skull base area in such neonates. Results This study included 14 neonates with bilateral CA; with mean age of 7 ± 3.5 days. Mixed atretic plates were found in 12 (85.7%) cases while two (14.3%) had pure bony atresia. Isolated CA was detected in 9 cases (64.3%) and 5 (35.7%) cases had associated anomalies. Coronal CT showed soft tissue density in the nasal cavity that appeared to extend through an apparent defect in the nasal roof (cribriform plate), falsely diagnosed by radiologists as associated encephalocele. At the time of surgical repair, all patients showed thick tenacious mucous secretions in both nasal cavities and revealed no encephalocele. Nasal roof remained intact in all cases. Conclusion The thick secretion of bilateral CA could give a false encephalocele appearance on the CT. It is highly recommended to perform proper suction of the nasal cavity of suspected CA cases just before CT scanning. PMID:27096022
False Computed Tomography Findings in Bilateral Choanal Atresia.
Introduction Choanal atresia (CA) is a challenging surgical problem defined as a failure in the development of communication between the nasal cavity and nasopharynx. Objective The objective of this study is to describe computed tomography (CT) findings in cases with bilateral choanal atresia. Methods The study involved performing axial and coronal non-contrast CT scanning with 2-3 mm sections on14 neonates that had bilateral CA. We used fiberoptic nasal endoscopy to confirm the diagnosis. We evaluated coronal CT to study the skull base area in such neonates. Results This study included 14 neonates with bilateral CA; with mean age of 7 ± 3.5 days. Mixed atretic plates were found in 12 (85.7%) cases while two (14.3%) had pure bony atresia. Isolated CA was detected in 9 cases (64.3%) and 5 (35.7%) cases had associated anomalies. Coronal CT showed soft tissue density in the nasal cavity that appeared to extend through an apparent defect in the nasal roof (cribriform plate), falsely diagnosed by radiologists as associated encephalocele. At the time of surgical repair, all patients showed thick tenacious mucous secretions in both nasal cavities and revealed no encephalocele. Nasal roof remained intact in all cases. Conclusion The thick secretion of bilateral CA could give a false encephalocele appearance on the CT. It is highly recommended to perform proper suction of the nasal cavity of suspected CA cases just before CT scanning. PMID:27096022
False-positive elimination for computer-aided detection of pulmonary micronodules
Chang, Sukmoon; Zhou, Jinghao; Metaxas, Dimitris N.; Axel, Leon
Computed Tomography (CT) is generally accepted as the most sensitive way for lung cancer screening. Its high contrast resolution allows the detection of small nodules and, thus, lung cancer at a very early stage. Due to the amount of data it produces, however, automating the nodule detection process is viable. The challenging problem for any nodule detection system is to keep low false-positive detection rate while maintaining high sensitivity. In this paper, we first describe a 3D filter-based method for pulmonary micronodule detection from high-resolution 3D chest CT images. Then, we propose a false-positive elimination method based on a deformable model. Finally, we present promising results of applying our method to various clinical chest CT datasets with over 90% detection rate. The proposed method focuses on the automatic detection of both calcified (high-contrast) and noncalcified (low-contrast) granulomatous nodules less than 5mm in diameter.
Clifford, Gari D; Silva, Ikaro; Moody, Benjamin; Li, Qiao; Kella, Danesh; Shahin, Abdullah; Kooistra, Tristan; Perry, Diane; Mark, Roger G.
High false alarm rates in the ICU decrease quality of care by slowing staff response times while increasing patient delirium through noise pollution. The 2015 Physio-Net/Computing in Cardiology Challenge provides a set of 1,250 multi-parameter ICU data segments associated with critical arrhythmia alarms, and challenges the general research community to address the issue of false alarm suppression using all available signals. Each data segment was 5 minutes long (for real time analysis), ending at the time of the alarm. For retrospective analysis, we provided a further 30 seconds of data after the alarm was triggered. A collection of 750 data segments was made available for training and a set of 500 was held back for testing. Each alarm was reviewed by expert annotators, at least two of whom agreed that the alarm was either true or false. Challenge participants were invited to submit a complete, working algorithm to distinguish true from false alarms, and received a score based on their program’s performance on the hidden test set. This score was based on the percentage of alarms correct, but with a penalty that weights the suppression of true alarms five times more heavily than acceptance of false alarms. We provided three example entries based on well-known, open source signal processing algorithms, to serve as a basis for comparison and as a starting point for participants to develop their own code. A total of 38 teams submitted a total of 215 entries in this year’s Challenge. PMID:27331073
... COMPLIANCE WITH THE 40 CFR PART 191 DISPOSAL REGULATIONS Compliance Certification and Re-certification General Requirements § 194.23 Models and computer codes. (a) Any compliance application shall include: (1... 40 Protection of Environment 26 2012-07-01 2011-07-01 true Models and computer codes....
32 CFR 505.13 - Computer Matching Agreement Program.
... 32 National Defense 3 2011-07-01 2009-07-01 true Computer Matching Agreement Program. 505.13... AUTHORITIES AND PUBLIC RELATIONS ARMY PRIVACY ACT PROGRAM § 505.13 Computer Matching Agreement Program. (a) General provisions. (1) Pursuant to the Privacy Act and this part, DA records may be subject to...
Zhao, Xin; Wang, Su; Zhu, Hongbin; Liang, Zhengrong
Virtually compliant: Immersive video gaming increases conformity to false computer judgments.
Weger, Ulrich W; Loughnan, Stephen; Sharma, Dinkar; Gonidis, Lazaros
Real-life encounters with face-to-face contact are on the decline in a world in which many routine tasks are delegated to virtual characters-a development that bears both opportunities and risks. Interacting with such virtual-reality beings is particularly common during role-playing videogames, in which we incarnate into the virtual reality of an avatar. Video gaming is known to lead to the training and development of real-life skills and behaviors; hence, in the present study we sought to explore whether role-playing video gaming primes individuals' identification with a computer enough to increase computer-related social conformity. Following immersive video gaming, individuals were indeed more likely to give up their own best judgment and to follow the vote of computers, especially when the stimulus context was ambiguous. Implications for human-computer interactions and for our understanding of the formation of identity and self-concept are discussed. PMID:25585527
Zheng, Xudong; Bielamowicz, Steve; Luo, Haoxiang; Mittal, Rajat
The false vocal folds are believed to be components of the acoustic filter that is responsible for shaping the voice. However, the effects of false vocal folds on the vocal fold vibration and the glottal aerodynamic during phonation remain unclear. This effect has implications for computational modeling of phonation as well as for understanding laryngeal pathologies such as glottal incompetence resulting from unilateral vocal fold paralysis. In this study, a high fidelity, two-dimensional computational model, which combines an immersed boundary method for the airflow and a continuum, finite-element method for the vocal folds, is used to examine the effect of the false vocal folds on flow-induced vibration (FIV) of the true vocal folds and the dynamics of the glottal jet. The model is notionally based on a laryngeal CT scan and employs realistic flow conditions and tissue properties. Results show that the false vocal folds potentially have a significant impact on phonation. The false vocal folds reduce the glottal flow impedance and increase the amplitude as well as the mean glottal jet velocity. The false vocal folds also enhance the intensity of the monopole acoustic sources in the glottis. A mechanism for reduction in flow impedance due to the false vocal folds is proposed. PMID:19142730
A computational study of the effect of false vocal folds on glottal flow and vocal fold vibration during phonation.
Computing Liquid-Liquid Phase Equilibria: An Exercise for Understanding the Nature of False Solutions and How to Avoid Them
Olaya, Maria del Mar; Ibarra, Isabel; Reyes-Labarta, Juan A.; Serrano, Maria Dolores; Marcilla, Antonio
An exercise to compute LLE data is presented to illustrate the problems that can arise when the isoactivity equilibrium condition is used in the LLE calculations. A much more efficient condition is obtained when isoactivity is combined with the common tangent line criterion, avoiding false solutions that correspond with very low values of the…
40 CFR 164.6 - Time.
... 40 Protection of Environment 24 2011-07-01 2011-07-01 false Time. 164.6 Section 164.6 Protection... OTHER HEARINGS CALLED PURSUANT TO SECTION 6 OF THE ACT General § 164.6 Time. (a) Computation. In computing any period of time prescribed or allowed by these rules, except as otherwise provided, the day...
... 37 Patents, Trademarks, and Copyrights 1 2011-07-01 2011-07-01 false Time. 350.5 Section 350.5... RULES AND PROCEDURES GENERAL ADMINISTRATIVE PROVISIONS § 350.5 Time. (a) Computation. To compute the due... reasons why there is good cause for the delay; (5) The justification for the amount of additional...
28 CFR 523.13 - Community corrections center good time.
... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Community corrections center good time... ADMISSION, CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.13 Community corrections center good time. Extra good time for an inmate in a Federal or contract Community...
28 CFR 523.14 - Industrial good time.
... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Industrial good time. 523.14 Section 523..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.14 Industrial good time. Extra good time... Industries is not awarded industrial good time until actually employed....
29 CFR 4000.1 - What are these filing rules about?
... 29 Labor 9 2011-07-01 2011-07-01 false What are these filing rules about? 4000.1 Section 4000.1 Labor Regulations Relating to Labor (Continued) PENSION BENEFIT GUARANTY CORPORATION GENERAL FILING, ISSUANCE, COMPUTATION OF TIME, AND RECORD RETENTION Filing Rules § 4000.1 What are these filing rules...
... 29 Labor 9 2011-07-01 2011-07-01 false What if I use electronic delivery? 4000.29 Section 4000.29..., ISSUANCE, COMPUTATION OF TIME, AND RECORD RETENTION Determining Filing and Issuance Dates § 4000.29 What if... electronically transmit your submission or issuance to the proper address if you meet the requirements...
28 CFR 523.11 - Meritorious good time.
... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Meritorious good time. 523.11 Section 523..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.11 Meritorious good time. (a) Staff are responsible for recommending meritorious good time based upon work performance. Each recommendation...
28 CFR 523.2 - Good time credit for violators.
... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Good time credit for violators. 523.2..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Good Time § 523.2 Good time credit for violators. (a) An... good time, upon being returned to custody for violation of supervised release, based on the number...
28 CFR 523.15 - Camp or farm good time.
... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Camp or farm good time. 523.15 Section..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.15 Camp or farm good time. An inmate assigned to a farm or camp is automatically awarded extra good time, beginning on the date of commitment...
28 CFR 523.12 - Work/study release good time.
... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Work/study release good time. 523.12..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.12 Work/study release good time. Extra good time for an inmate in work or study release programs is awarded automatically, beginning on...
28 CFR 523.30 - What is educational good time sentence credit?
... 28 Judicial Administration 2 2011-07-01 2011-07-01 false What is educational good time sentence... ADMISSION, CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE District of Columbia Educational Good Time Credit § 523.30 What is educational good time sentence credit? Educational good time sentence credit...
40 CFR 209.12 - Time.
... 40 Protection of Environment 25 2011-07-01 2011-07-01 false Time. 209.12 Section 209.12 Protection... Issued Under Section 11(d) of the Noise Control Act § 209.12 Time. (a) In computing any period of time... period of time begins to run shall not be included, except as otherwise provided. Saturdays, Sundays,...
29 CFR 1955.16 - Time.
... 29 Labor 9 2011-07-01 2011-07-01 false Time. 1955.16 Section 1955.16 Labor Regulations Relating to...) PROCEDURES FOR WITHDRAWAL OF APPROVAL OF STATE PLANS Notice of Formal Proceeding § 1955.16 Time. Computation of any period of time under these rules shall begin with the first business day following that...
40 CFR 89.409 - Data logging.
... 40 Protection of Environment 20 2011-07-01 2011-07-01 false Data logging. 89.409 Section 89.409... Data logging. (a) A computer or any other automatic data processing device(s) may be used as long as the system meets the requirements of this subpart. (b) Determine from the data collection records...
40 CFR 90.412 - Data logging.
... 40 Protection of Environment 20 2011-07-01 2011-07-01 false Data logging. 90.412 Section 90.412....412 Data logging. (a) A computer or any other automatic data collection (ADC) device(s) may be used as long as the system meets the requirements of this subpart. (b) Determine from the data...
40 CFR 91.412 - Data logging.
... 40 Protection of Environment 20 2011-07-01 2011-07-01 false Data logging. 91.412 Section 91.412... EMISSIONS FROM MARINE SPARK-IGNITION ENGINES Gaseous Exhaust Test Procedures § 91.412 Data logging. (a) A computer or any other automatic data collection (ADC) device(s) may be used as long as the system meets...
29 CFR 541.704 - Use of manuals.
... 29 Labor 3 2011-07-01 2011-07-01 false Use of manuals. 541.704 Section 541.704 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR REGULATIONS DEFINING AND DELIMITING THE EXEMPTIONS FOR EXECUTIVE, ADMINISTRATIVE, PROFESSIONAL, COMPUTER AND OUTSIDE SALES EMPLOYEES Definitions and Miscellaneous Provisions...
29 CFR 541.202 - Discretion and independent judgment.
... 29 Labor 3 2011-07-01 2011-07-01 false Discretion and independent judgment. 541.202 Section 541.202 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR REGULATIONS DEFINING AND DELIMITING THE EXEMPTIONS FOR EXECUTIVE, ADMINISTRATIVE, PROFESSIONAL, COMPUTER AND OUTSIDE SALES EMPLOYEES...
31 CFR 357.0 - Book-entry systems.
... computer record on the books of Treasury. The regulations governing TreasuryDirect are found at 31 CFR part... 31 Money and Finance:Treasury 2 2011-07-01 2011-07-01 false Book-entry systems. 357.0 Section 357..., DEPARTMENT OF THE TREASURY BUREAU OF THE PUBLIC DEBT REGULATIONS GOVERNING BOOK-ENTRY TREASURY BONDS,...
36 CFR 218.10 - Objection time periods and process.
... 36 Parks, Forests, and Public Property 2 2011-07-01 2011-07-01 false Objection time periods and... Objection time periods and process. (a) Time to file an objection. Written objections, including any... of objectors to ensure that their objection is received in a timely manner. (b) Computation of...
38 CFR 17.363 - Length of stay.
... 38 Pensions, Bonuses, and Veterans' Relief 1 2011-07-01 2011-07-01 false Length of stay. 17.363 Section 17.363 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL Grants to the Republic of the Philippines § 17.363 Length of stay. In computing the length of stay for...
... 39 Postal Service 1 2011-07-01 2011-07-01 false Responsibility. 266.3 Section 266.3 Postal Service... Responsibility. (a) Records Office. The Records Office, within the Privacy Office, will ensure Postal Service... Integrity Board—(1) Responsibilities. The Data Integrity Board oversees Postal Service computer...
... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Good conduct time. 523.20 Section 523.20 Judicial Administration BUREAU OF PRISONS, DEPARTMENT OF JUSTICE INMATE ADMISSION, CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Good Conduct Time § 523.20 Good conduct time. (a) For inmates serving a sentence for offenses committed on...
29 CFR 778.111 - Pieceworker.
... 29 Labor 3 2011-07-01 2011-07-01 false Pieceworker. 778.111 Section 778.111 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR STATEMENTS OF GENERAL POLICY OR... for Computing Overtime Pay Based on the âregular Rateâ § 778.111 Pieceworker. (a) Piece rates...
Ray, Shonket; Choi, Jae Y.; Keller, Brad M.; Chen, Jinbo; Conant, Emily F.; Kontos, Despina
Mammographic texture features have been shown to have value in breast cancer risk assessment. Previous models have also been developed that use computer-extracted mammographic features of breast tissue complexity to predict the risk of false-positive (FP) recall from breast cancer screening with digital mammography. This work details a novel locallyadaptive parenchymal texture analysis algorithm that identifies and extracts mammographic features of local parenchymal tissue complexity potentially relevant for false-positive biopsy prediction. This algorithm has two important aspects: (1) the adaptive nature of automatically determining an optimal number of region-of-interests (ROIs) in the image and each ROI's corresponding size based on the parenchymal tissue distribution over the whole breast region and (2) characterizing both the local and global mammographic appearances of the parenchymal tissue that could provide more discriminative information for FP biopsy risk prediction. Preliminary results show that this locallyadaptive texture analysis algorithm, in conjunction with logistic regression, can predict the likelihood of false-positive biopsy with an ROC performance value of AUC=0.92 (p<0.001) with a 95% confidence interval [0.77, 0.94]. Significant texture feature predictors (p<0.05) included contrast, sum variance and difference average. Sensitivity for false-positives was 51% at the 100% cancer detection operating point. Although preliminary, clinical implications of using prediction models incorporating these texture features may include the future development of better tools and guidelines regarding personalized breast cancer screening recommendations. Further studies are warranted to prospectively validate our findings in larger screening populations and evaluate their clinical utility.
Graphical models appear well suited for inferring brain connectivity from fMRI data, as they can distinguish between direct and indirect brain connectivity. Nevertheless, biological interpretation requires not only that the multivariate time series are adequately modeled, but also that there is accurate error-control of the inferred edges. The PCfdr algorithm, which was developed by Li and Wang, was to provide a computationally efficient means to control the false discovery rate (FDR) of computed edges asymptotically. The original PCfdr algorithm was unable to accommodate a priori information about connectivity and was designed to infer connectivity from a single subject rather than a group of subjects. Here we extend the original PCfdr algorithm and propose a multisubject, error-rate-controlled brain connectivity modeling approach that allows incorporation of prior knowledge of connectivity. In simulations, we show that the two proposed extensions can still control the FDR around or below a specified threshold. When the proposed approach is applied to fMRI data in a Parkinson's disease study, we find robust group evidence of the disease-related changes, the compensatory changes, and the normalizing effect of L-dopa medication. The proposed method provides a robust, accurate, and practical method for the assessment of brain connectivity patterns from functional neuroimaging data. PMID:23251232
Masotti, Matteo; Lanconelli, Nico; Campanini, Renato
In this work, gray-scale invariant ranklet texture features are proposed for false positive reduction (FPR) in computer-aided detection (CAD) of breast masses. Two main considerations are at the basis of this proposal. First, false positive (FP) marks surviving our previous CAD system seem to be characterized by specific texture properties that can be used to discriminate them from masses. Second, our previous CAD system achieves invariance to linear/nonlinear monotonic gray-scale transformations by encoding regions of interest into ranklet images through the ranklet transform, an image transformation similar to the wavelet transform, yet dealing with pixels' ranks rather than with their gray-scale values. Therefore, the new FPR approach proposed herein defines a set of texture features which are calculated directly from the ranklet images corresponding to the regions of interest surviving our previous CAD system, hence, ranklet texture features; then, a support vector machine (SVM) classifier is used for discrimination. As a result of this approach, texture-based information is used to discriminate FP marks surviving our previous CAD system; at the same time, invariance to linear/nonlinear monotonic gray-scale transformations of the new CAD system is guaranteed, as ranklet texture features are calculated from ranklet images that have this property themselves by construction. To emphasize the gray-scale invariance of both the previous and new CAD systems, training and testing are carried out without any in-between parameters' adjustment on mammograms having different gray-scale dynamics; in particular, training is carried out on analog digitized mammograms taken from a publicly available digital database, whereas testing is performed on full-field digital mammograms taken from an in-house database. Free-response receiver operating characteristic (FROC) curve analysis of the two CAD systems demonstrates that the new approach achieves a higher reduction of FP marks
Computational study of false vocal folds effects on unsteady airflows through static models of the human larynx
de Luzan, Charles Farbos; Chen, Jie; Mihaescu, Mihai; Khosla, Sid M.; Gutmark, Ephraim
Compressible large eddy simulation is employed to numerically investigate the laryngeal flow. Symmetric static models of the human larynx with a divergent glottis are considered, with the presence of false vocal folds (FVFs). The compressible study agrees well with that of the incompressible study. Due to the high enough Reynolds number, the flow is unsteady and develops asymmetric states downstream of the glottis. The glottal jet curvature decreases with the presence of FVFs or the ventricular folds. The gap between the FVFs stretches the flow structure and reduces the jet curvature. The presence of FVFs has a significant effect on the laryngeal flow resistance. The intra-glottal vortex structures are formed on the divergent wall of the glottis, immediately downstream of the separation point. The vortices are then convected downstream and characterized by a significant negative static pressure. The FVFs are a main factor in the generation of stronger vortices, and thus on the closure of the TVFs. The direct link between the FVFs geometry and the motion of the TVFs, and by extension to the voice production, is of interest for medical applications as well as future research works. The presence of the FVFs also changes the dominant frequencies in the velocity and pressure spectra. PMID:25835787
Computational study of false vocal folds effects on unsteady airflows through static models of the human larynx.
Farbos de Luzan, Charles; Chen, Jie; Mihaescu, Mihai; Khosla, Sid M; Gutmark, Ephraim
29 CFR 2530.200b-4 - One-year break in service.
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29 CFR 778.112 - Day rates and job rates.
... 29 Labor 3 2011-07-01 2011-07-01 false Day rates and job rates. 778.112 Section 778.112 Labor... Requirements Principles for Computing Overtime Pay Based on the âregular Rateâ § 778.112 Day rates and job rates. If the employee is paid a flat sum for a day's work or for doing a particular job, without...
False-positive 18F-fluorodeoxyglucose positron emission tomography/computed tomography in a patient with metallic implants following chondrosarcoma resection
ZHOU, PU; TANG, JINLIANG; ZHANG, DONG; LI, GUANGHUI
Positron emission tomography (PET) with fluorine-18-labeled fluorodeoxyglucose (18F-FDG) has been used for the staging and evaluation of recurrence in cancer patients. We herein report a false-positive result of 18F-FDG PET/computed tomography (CT) scan in a patient following chondrosarcoma resection and metallic implanting. A 35-year-old male patient with chondrosarcoma of the left iliac bone underwent radical resection, metal brace implanting and radiotherapy. A high uptake of 18F-FDG was observed in the metallic implants and adjacent tissue during PET/CT scanning in the 5th year of follow-up. Tissue biopsy and follow-up examination identified no tumor recurrence or infection at these sites, suggesting that the results of 18F-FDG PET/CT must be interpreted with caution in cancer patients with metallic implants. PMID:27123290
Filter-based feature selection and support vector machine for false positive reduction in computer-aided mass detection in mammograms
Nguyen, V. D.; Nguyen, D. T.; Nguyen, T. D.; Phan, V. A.; Truong, Q. D.
In this paper, a method for reducing false positive in computer-aided mass detection in screening mammograms is proposed. A set of 32 features, including First Order Statistics (FOS) features, Gray-Level Occurrence Matrix (GLCM) features, Block Difference Inverse Probability (BDIP) features, and Block Variation of Local Correlation coefficients (BVLC) are extracted from detected Regions-Of-Interest (ROIs). An optimal subset of 8 features is selected from the full feature set by mean of a filter-based Sequential Backward Selection (SBS). Then, Support Vector Machine (SVM) is utilized to classify the ROIs into massive regions or normal regions. The method's performance is evaluated using the area under the Receiver Operating Characteristic (ROC) curve (AUC or AZ). On a dataset consisting about 2700 ROIs detected from mini-MIAS database of mammograms, the proposed method achieves AZ=0.938.
Zhou, Chuan; Chan, Heang-Ping; Guo, Yanhui; Wei, Jun; Chughtai, Aamer; Hadjiiski, Lubomir M.; Sundaram, Baskaran; Patel, Smita; Kuriakose, Jean W.; Kazerooni, Ella A.
The curved planar reformation (CPR) method re-samples the vascular structures along the vessel centerline to generate longitudinal cross-section views. The CPR technique has been commonly used in coronary CTA workstation to facilitate radiologists' visual assessment of coronary diseases, but has not yet been used for pulmonary vessel analysis in CTPA due to the complicated tree structures and the vast network of pulmonary vasculature. In this study, a new curved planar reformation and optimal path tracing (CROP) method was developed to facilitate feature extraction and false positive (FP) reduction and improve our PE detection system. PE candidates are first identified in the segmented pulmonary vessels at prescreening. Based on Dijkstra's algorithm, the optimal path (OP) is traced from the pulmonary trunk bifurcation point to each PE candidate. The traced vessel is then straightened and a reformatted volume is generated using CPR. Eleven new features that characterize the intensity, gradient, and topology are extracted from the PE candidate in the CPR volume and combined with the previously developed 9 features to form a new feature space for FP classification. With IRB approval, CTPA of 59 PE cases were retrospectively collected from our patient files (UM set) and 69 PE cases from the PIOPED II data set with access permission. 595 and 800 PEs were manually marked by experienced radiologists as reference standard for the UM and PIOPED set, respectively. At a test sensitivity of 80%, the average FP rate was improved from 18.9 to 11.9 FPs/case with the new method for the PIOPED set when the UM set was used for training. The FP rate was improved from 22.6 to 14.2 FPs/case for the UM set when the PIOPED set was used for training. The improvement in the free response receiver operating characteristic (FROC) curves was statistically significant (p<0.05) by JAFROC analysis, indicating that the new features extracted from the CROP method are useful for FP reduction.
A Metric for Reducing False Positives in the Computer-Aided Detection of Breast Cancer from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Screening Examinations of High-Risk Women.
Levman, Jacob E D; Gallego-Ortiz, Cristina; Warner, Ellen; Causer, Petrina; Martel, Anne L
Magnetic resonance imaging (MRI)-enabled cancer screening has been shown to be a highly sensitive method for the early detection of breast cancer. Computer-aided detection systems have the potential to improve the screening process by standardizing radiologists to a high level of diagnostic accuracy. This retrospective study was approved by the institutional review board of Sunnybrook Health Sciences Centre. This study compares the performance of a proposed method for computer-aided detection (based on the second-order spatial derivative of the relative signal intensity) with the signal enhancement ratio (SER) on MRI-based breast screening examinations. Comparison is performed using receiver operating characteristic (ROC) curve analysis as well as free-response receiver operating characteristic (FROC) curve analysis. A modified computer-aided detection system combining the proposed approach with the SER method is also presented. The proposed method provides improvements in the rates of false positive markings over the SER method in the detection of breast cancer (as assessed by FROC analysis). The modified computer-aided detection system that incorporates both the proposed method and the SER method yields ROC results equal to that produced by SER while simultaneously providing improvements over the SER method in terms of false positives per noncancerous exam. The proposed method for identifying malignancies outperforms the SER method in terms of false positives on a challenging dataset containing many small lesions and may play a useful role in breast cancer screening by MRI as part of a computer-aided detection system. PMID:26293705