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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords: thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

Advances in airborne microorganisms detection using biosensors: A critical review

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8

Abstract: In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be

Keywords: Biosensor     Airborne microorganisms     Microbiological detection technology    

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 448-464 doi: 10.1007/s11705-017-1611-9

Abstract: Development of novel detection methods for perchlorate with the potential for field use has been an urgentperchlorate in water and other media with an emphasis on the development of SERS substrates for perchlorate detection

Keywords: perchlorate     SERS     detection     substrate     modification     nanostructure    

EXPLORING THE RECYCLING OF MANURE FROM URBAN LIVESTOCK FARMS: A CASE STUDY IN ETHIOPIA

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 1,

Abstract:

• Livestock manure was the main organic waste in urban and peri-urban areas.

• Manure production will increase by a factor of 3–10 between 2015–2050.

• Only 13%–38% of excreted N by livestock will be recycled in croplands.

• Intensification of urban livestock production greatly increased N surpluses.

• Reducing population growth and increasing livestock productivity needed.

 

Urban population growth is driving the expansion of urban and peri-urban agriculture (UPA) in developing countries. UPA is providing nutritious food to residents but the manures produced by UPA livestock farms and other wastes are not properly recycled. This paper explores the effects of four scenarios: (1) a reference scenario (business as usual), (2) increased urbanization, (3) UPA intensification, and (4) improved technology, on food-protein self-sufficiency, manure nitrogen (N) recycling and balances for four different zones in a small city (Jimma) in Ethiopia during the period 2015-2050. An N mass flow model with data from farm surveys, field experiments and literature was used. A field experiment was conducted and N use efficiency and N fertilizer replacement values differed among the five types of composts derived from urban livestock manures and kitchen wastes. The N use efficiency and N fertilizer replacement values were used in the N mass flow model.

Livestock manures were the main organic wastes in urban areas, although only 20 to 40% of animal-sourced food consumed was produced in UPA, and only 14 to 19% of protein intake by residents was animal-based. Scenarios indicate that manure production in UPA will increase 3 to 10 times between 2015 and 2050, depending on urbanization and UPA intensification. Only 13 to 38% of manure N will be recycled in croplands. Farm-gate N balances of UPA livestock farms will increase to>1 t·ha1 in 2050. Doubling livestock productivity and feed protein conversion to animal-sourced food will roughly halve manure N production.

Costs of waste recycling were high and indicate the need for government incentives. Results of these senarios are wake-up calls for all stakeholders and indicate alternative pathways.

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9

Abstract:

• A spectral machine learning approach is proposed for predicting mixed antibiotic.

Keywords: Antibiotic contamination     Spectral detection     Machine learning    

Not asthma, but GERD: case report

WANG Zhonggao

Frontiers of Medicine 2007, Volume 1, Issue 1,   Pages 115-119 doi: 10.1007/s11684-007-0022-6

Abstract: Therefore, such a case is reported in detail, similar cases are mentioned briefly as well, and a mechanism

Keywords: resistance     mechanism responsible     unappreciated     responsiveness     different    

Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Strategic Study of CAE 2008, Volume 10, Issue 4,   Pages 44-55

Abstract: Pulse radiation detection has found its various applications in scientific researches, including nuclearThese diagnostic techniques and their relative detection systems, the design principle, the parameters

Keywords: fission reaction     fusion reaction     pulse radiation detection     detecting system     neutron detection     gamma-raydetection    

A case for assessing

Ian T. RILEY

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 568-582 doi: 10.15302/J-FASE-2019270

Abstract: Agroecosystems in water-limited contexts— Mediterranean, semi-arid and arid climatic zones—are too frequently degraded systems that will not provide the needed ecosystem services to ensure a future of sustainable agricultural production. The processes that have created this situation continue and are being accelerated by anthropogenic climate change. Increasing arboreal vegetation in these areas through agroforestry is an important strategy to conserve and improve their agroecosystems. Actinorhizal trees and shrubs in the Casurinaceae have a unique set of adaptations for heat and water stress, and/or infertile to hostile soils. Central Anatolia, Turkey is particularly at risk of increasing aridity and further degradation. Therefore, species of and have been evaluated for their potential use in agroecosystem improvement in semi-arid areas with a focus on Central Anatolia. Based on a semiquantitative environmental tolerance index and reported plant stature, eight species were identified as being of high ( . and . ) to moderate ( . , . , . , . , . and . ) priority for assessment, with none of these species having been adequately evaluated for agroforestry deployment in semi-arid agroecosystems in any context.

Keywords: actinorrhizal trees     agroforestry     climate change     ecosystem restoration    

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paperFirst, images are picked up by an imaging system; a method of regional edge detection based on grayscales

Keywords: thermal expansion     image measurement     edge detection     image calibration    

Machine vision-based automatic fruit quality detection and grading

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532

Abstract:

● A machine vision-based prototype system was developed for fruit grading.

Keywords: Computer and machine vision     convolution neural network     deep learning     defective fruit detection     fruit    

Experimental and numerical study on microcrack detection using contact nonlinear acoustics

Xiaojia CHEN, Yuanlin WANG

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 137-141 doi: 10.1007/s11709-009-0028-z

Abstract: This paper introduces a non-classical nonlinear acoustic theory for microcrack detection in materialsconcentrates on the experimental and numerical verification of the effectivity of contact nonlinear acoustic detection

Keywords: microcrack detection     contact nonlinearity     numerical analysis    

Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: CNN can extract the structural state information from the vibration signals and classify them; 2) the detection

Keywords: structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

Damage detection in beam-like structures using static shear energy redistribution

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1552-1564 doi: 10.1007/s11709-022-0903-4

Abstract: Another advantage of the proposed approach is that damage detection can be performed without establishing

Keywords: damage detection     beam structure     strain energy     static displacement variation     energy damage index    

Ecthyma gangrenosum of the scrotum: a case report

Wei Phin Tan,Benjamin A. Sherer,Jerome Hoeksema

Frontiers of Medicine 2016, Volume 10, Issue 1,   Pages 101-103 doi: 10.1007/s11684-016-0437-z

Abstract:

A 43-year-old man with pancytopenia from chemotherapy for acute myeloid leukemia developed left scrotal pain, fever, and rigors. Physical exam revealed an ulcerating lesion with central necrosis and eschar surrounded by a halo of erythema on the inferior aspect of the left scrotum. The condition indicated an early necrotizing soft tissue infection. The patient was started on broad-spectrum antibiotics and taken to the operating room for a wound debridement. Blood and tissue cultures grew Pseudomonas aeruginosa, which confirmed the diagnosis of ecthyma gangrenosum of the scrotum. The fever resolved, and the wound healed without further progression after wet to dry dressing changes.

Keywords: ecthyma gangrenosum     scrotum     genitalia    

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: The proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speed

Keywords: tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

Title Author Date Type Operation

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Advances in airborne microorganisms detection using biosensors: A critical review

Journal Article

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Journal Article

EXPLORING THE RECYCLING OF MANURE FROM URBAN LIVESTOCK FARMS: A CASE STUDY IN ETHIOPIA

Journal Article

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Journal Article

Not asthma, but GERD: case report

WANG Zhonggao

Journal Article

Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Journal Article

A case for assessing

Ian T. RILEY

Journal Article

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Journal Article

Machine vision-based automatic fruit quality detection and grading

Journal Article

Experimental and numerical study on microcrack detection using contact nonlinear acoustics

Xiaojia CHEN, Yuanlin WANG

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Damage detection in beam-like structures using static shear energy redistribution

Journal Article

Ecthyma gangrenosum of the scrotum: a case report

Wei Phin Tan,Benjamin A. Sherer,Jerome Hoeksema

Journal Article

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article