Editorial on “High-sensitivity capillary and microchip electrophoresis using electrokinetic supercharging preconcentration—Insight into stacking mechanism via computer modeling” by Z. Xu, A.R. Timerbaev and T. Hirokawa

ABSTRACTWe have measured the steady state concentration of gas phase C2 in Ar/H2/CH4 and Ar/H2/C60 microwave plasmas used for the deposition of nanocrystalline diamond films. High sensitivity white light absorption spectroscopy is used to monitor the C2 density using the d 3 Π ← a3Π (0,0) vibrational band of C2 as chamber pressure, microwave power, substrate temperature and feed gas mixtures are varied in both chemistries. Understanding how these parameters influence the C2 density in the plasma volume provides insight into discharge mechanisms relevant to the deposition of nanocrystalline diamond.

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The Bacterial Pneumonia Characteristics based on Climate and Meteorological Parameters in Indonesia, the Tropical Country: A Preliminary Study

Biomolecular and Health Science Journal ◽

10.20473/bhsj.v4i1.26926 ◽

2021 ◽

Vol 4 (1) ◽

pp. 15

Author(s):

Bramantono Bramantono ◽

Brian Eka Rachman ◽

Erika Marfiani ◽

Neneng Dewi Kurniati ◽

Muhammad Vitanata Arifijanto ◽

...

Keyword(s):

Klebsiella Pneumoniae ◽

Antibiotic Sensitivity ◽

High Sensitivity ◽

Surveillance Period ◽

Acinetobacter Baumanii ◽

Tropical Country ◽

Dry Seasons ◽

Preliminary Study ◽

Bacterial Patterns ◽

Insight Into

Introduction: As a tropical country, Indonesia has the potential to influence the characteristics of infectious diseases. The purpose of this study was to see how the pattern of pneumonia on various weather components such as rainfall, humidity, and temperature.Methods: This study was carried by retrospective screening in the infectious ward in one of the tertiary referral hospitals.Results: A total of 876 cases of pneumonia from eight treatment rooms were included in the study. The highest pneumonia cases occurred in February with 239 (27.2%) cases followed in April and May with 169 (19.2%) and 159 (18.2%) cases respectively. After microbiological examination, bacterial growth was found in 191 cases. The highest number of bacteria was found in February with 62 (32%), followed by May with 33 (17.2%) and April with 31 (16.2%) samples. Most of the bacterial grown were gram-negative (94.3%), dominated by Klebsiella pneumoniae (35%), followed by Acinetobacter baumanii 17.2% and Pseudomonas aeruginosa 12%. On the examination of antibiotic sensitivity, it was found that amikacin has a consistently high sensitivity (90%) for pneumonia caused by most bacterial causes (Acinetobacter baumanii, Klebsiella pneumoniae, and Escherichia coli).Conclusion: The study did not show any remarkable bacterial patterns based on weather components such as rainfall, humidity, and temperature during the rainy season. However, increasing the surveillance period will provide a better insight into the bacterial pattern and can compare it in the rainy and dry seasons.

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A Deep Insight into the Details of the Interisomerization and Decomposition Mechanism of o-Quinolyl and o-Isoquinolyl Radicals. Quantum Chemical Calculations and Computer Modeling

The Journal of Physical Chemistry A ◽

10.1021/acs.jpca.6b07442 ◽

2016 ◽

Vol 120 (38) ◽

pp. 7538-7547 ◽

Cited By ~ 2

Author(s):

Faina Dubnikova ◽

Carmen Tamburu ◽

Assa Lifshitz

Keyword(s):

Computer Modeling ◽

Quantum Chemical Calculations ◽

Quantum Chemical ◽

Decomposition Mechanism ◽

Deep Insight ◽

Insight Into

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Study of the snow melt–freeze cycle using multi-sensor data and snow modeling

Journal of Glaciology ◽

10.3189/172756504781830006 ◽

2004 ◽

Vol 50 (170) ◽

pp. 419-426 ◽

Cited By ~ 20

Author(s):

Anselmo Cagnati ◽

Andrea Crepaz ◽

Giovanni Macelloni ◽

Paolo Pampaloni ◽

Roberto Ranzi ◽

...

Keyword(s):

Meteorological Data ◽

High Sensitivity ◽

Microwave Emission ◽

Sensor Data ◽

Snow Melt ◽

Snow Modeling ◽

Snow Model ◽

Electromagnetic Models ◽

Underlying Soil ◽

Insight Into

AbstractThe melt cycle of snow is investigated by combining ground-based microwave radiometric measurements with conventional and meteorological data and by using a hydrological snow model. Measurements at 2000 m a.s.l in the basin of the Cor-devole river in the eastern Italian Alps confirm the high sensitivity of microwave emission at 19 and 37 GHz to the snow melt−freeze cycle, while the brightness at 6.8 GHz is mostly related to underlying soil. Simulations of snowpack changes performed by means of hydrological and electromagnetic models, driven with meteorological and snow data, provide additional insight into these processes and contribute to the interpretation of the experimental data.

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Mercury Pollution Exploration in Latvia with High-Sensitivity Zeeman Atomic Absorption Spectrometry

Scientific Journal of Riga Technical University Environmental and Climate Technologies ◽

10.2478/v10145-011-0026-y ◽

2011 ◽

Vol 7 (-1) ◽

pp. 39-45

Author(s):

Egils Bogans ◽

Zanda Gavare ◽

Anda Svagere ◽

Rita Poikane ◽

Jānis Skudra

Keyword(s):

Atomic Absorption Spectrometry ◽

Atomic Absorption ◽

High Sensitivity ◽

Absorption Spectrometry ◽

Mercury Pollution ◽

Rivers And Lakes ◽

Long Term Trends ◽

Insight Into ◽

Hg Pollution

Mercury Pollution Exploration in Latvia with High-Sensitivity Zeeman Atomic Absorption Spectrometry This research presents Hg pollution measurements performed in Latvia with sensitive method using Zeeman AAS analyzer RA-915+ and necessary attachments. Air in Riga city and water samples from a number of rivers and lakes of Latvia were analyzed for presence of low-level Hg concentrations. Ombrotrophic bog peat was analyzed to get insight into long-term trends. Environment in the sites sampled is relatively clean according to the results obtained, but there are local spots of pollution.

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