New York Science Journal
(N Y Sci J)
ISSN 1554-0200 (print); ISSN 2375-723X (online),
doi prefix: 10.7537, Monthly
Volume 13 -
Number 12 (Cumulated No. 142);
December 25, 2020
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Introduction,
Contents,
Call for
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ny1312
The following manuscripts are presented as online first for peer-review, starting from November 22, 2020.
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CONTENTS
No.
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Titles /
Authors /Abstracts
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Full Text
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No.
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1
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Fishes as Environmental
Indicators of Riverine Ecosystem.
Abhay Kumar And Chanda Jha
P.G.
Dept.
Of Zoology,
T.M.B.
University Bhagalpur
Emails:
abhayecologist@gmail.com,
chandajha.jha@gmail.com
Abstract:
The ecological condition of river is represented by the condition of
their biotic communities — the living components of aquatic
ecosystems that integrate many forms of human disturbances and
modification of river stream and the measurements of this
subject was the topic of particular interest. Stressors or the
pressures that human being exert on aquatic systems through
their use of the surrounding environment are commonly the
chemical, physical and biological components of the ecosystem.
These have the potential to degrade biotic integrity. Some
common chemical stressors are toxic compounds, excess nutrients
etc. Most of the physical stressors are created when we modify
the physical habitat of a river network-excess sedimentation,
bank erosion etc. All these can degrade biotic integrity. Water
quality plays vital role in riverine ecosystem health
regulation.
Environmental indicators have
been defined as “physical, chemical, biological or
socio-economic measures that best represent the key elements of
a complex ecosystem or environmental issue. An indicator is
embedded in a well developed interpretative framework and has
meaning beyond the measure it represents.
Using indicators, it is
possible to evaluate the fundamental condition of the
environment without having to capture the full complexity of the
system. Indicators are based on the best scientific
understanding currently available so that changes in these
simple measures can be related to more complex environmental
trends.
[Abhay
Kumar And Chanda Jha.
Fishes as Environmental
Indicators of Riverine Ecosystem.
N Y Sci J
2020;13(12):1-11].
ISSN 1554-0200 (print); ISSN
2375-723X (online).
http://www.sciencepub.net/newyork.
1.
doi:10.7537/marsnys131220.01.
Key Words:-
Ecosystems, Habitat, Indicators |
Full Text |
1
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2
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The interactive
Marginalization vs. Psychological
Empowerment and Psychological Capital: Does it really affect
the Psychological Commitment of new comers and/or young doctors?
Dr.
Mohamed Nasr Saeed
Assist. Prof. in Business
Administration Dept., Faculty of Commerce, Benha University,
Egypt
Email:
dr.mo7amed.n@gmail.com
Abstract:
Why workers feel frustrated
despite their best efforts in the organization? Why aren't they
getting an expected positive response? Is the perceived response
consistent with the realize response? What the difference
between perceived and real mutual interactive
marginalization? What the difference between external and
internal mutual interactive marginalization? All these
questions are answered by this study, which focuses on
interactive marginalization and its role in workers not
obtaining the expected response and feeling frustrated and the
difference between the external interactive marginalization
(out-to-in), and the internal interactive marginalization
(in-to-out) and difference between two parts, perceived and real
marginalization with its eight patterns between organization and
society and its effect of new comers and/or young doctors'
psychological commitment,
The first direction (out-to-in)
including four types: (1)-perceived outside marginalization
Switch to a perceived marginalization in. (2)-perceived outside
marginalization leads to real marginalization in. (3)-real out
marginalization move towards a real marginalization in. (4)-real
out marginalization goes to a perceived marginalization in. The
second direction (in-to-out) includes four types: (1)-perceived
inside marginalization leads to perceived marginalization out.
(2)-perceived inside
marginalization switch to real marginalization out. (3)-real
inside marginalization move towards perceived marginalization
out. (4)-real inside marginalization goes to real
marginalization out.
research focused on studying the question about does interactive
marginalization vs. psychological empowerment and psychological
capital really affect the doctors' psychological commitment in
educational hospitals? interactive marginalization as
independent variable, psychological empowerment as an
intermediate variable and psychological capital as a moderator
variable in the relation between interactive marginalization
(out-to-in & in-to-out) and psychological commitment. Through
the results of exploratory study for researched public
government schools and statistical analysis of a sample of (210)
new and/or young doctors. Research based on four main
hypotheses, while hypothesis (H3) included four
sub-hypotheses. (H01) and (H02) hypothesis
was refused. In contrast, (H3) and (H4)
hypothesis was admitted (agreeable)
collectively and Partially.
Moreover, the study presenting some recommendations about
supporting psychological empowerment and enhancing the
psychological capital and activation of psychological
commitment, Psychological Contract and emotional equilibrium.
[Mohamed
Nasr Saeed.
The interactive Marginalization vs. Psychological Empowerment
and Psychological Capital: Does it really affect the
Psychological Commitment of new comers and/or young doctors?
N Y Sci J 2020;13(12):12-43].
ISSN 1554-0200 (print); ISSN
2375-723X (online).
http://www.sciencepub.net/newyork.
2.
doi:10.7537/marsnys131220.02.
Keywords:
interactive marginalization; psychological empowerment (PsyEmp);
psychological capital (PsyCap); the psychological commitment;
emotional balance; psychological contract. |
Full Text |
2
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3
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Spore Morphology of Some Bryophyta in Egypt
Gamal M. A. Lashin, Usama Y. Abo-Salama*, Ekram M.
Abd El Haliem
and Gehad A. A. Hamouda
Department of Botany and Microbiology, Faculty of Science,
Zagazig University, Egypt.
*Department
of Botany, Faculty of Science, Ain-Shams University, Egypt.
Corresponding Author:
gamalsabaa@yahoo.com
Abstract:
In this work, spore
morphology of eight species, Tortula muralis, Tortula
brevissima, Aloina brevirostris, Syntrichia leavipila,
Microbryum clavallianum (Pottiaceae); Funaria
hygrometrica, Entosthodon muhlenbergii, Entosthodon attenuates
(Funariaceae); were examined by Light microscopy (LM) and
Scanning electron microscopy (SEM). All spores are small; the
length of polar axis is between 7.5 μm and 18.5 μm, equatorial
diameter is between 10.5 μm and 27 μm. The smallest spores of
them are Tortula brevissima and the biggest spores of
them are Entosthodon attenuates. The shapes of the
spores are determined as suboblate for Tortula muralis,
Aloina brevirostris, Syntrichia leavipila, and oblate for
Tortula brevissima, Funaria muhlenbergii, Funaria hygrometrica,
Entosthodon attenuates. The ornamentation observed can be
regulate, verrucate- regulate, baculate, verrucate, clavate-
foveolate, clavate, foveolate- psilate on the distal pole, spore
ornamentation of the proximal face is different or less complex
than the distal face. We can concluded that the spore
ultrastructure give important role for identification and
taxonomic significant.
[Gamal
M. A. Lashin, Usama Y. Abo-Salama, Ekram M. Abd El Haliem.
Spore Morphology of Some Bryophyta in Egypt.
N Y Sci J 2020;13(12):44-56].
ISSN 1554-0200 (print); ISSN
2375-723X (online).
http://www.sciencepub.net/newyork.
3.
doi:10.7537/marsnys131220.03.
Key words:
Bryophyta, spore, LM, SEM, Egypt. |
Full Text |
3
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4
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Origin and prevention of a new type of pneumonia coronavirus
Sun Chunwu
(1948-), male (Han nationality), Yangzhou City, Jiangsu
Province, China, mainly engaged in natural science research;
Unit name: former retired worker of Jiangsu Yangzhou Sanli
Electric Group Co., Ltd.
Zip code 225008 E-mail:
yzscw0514@163.com
WeChat number scw20171020
Abstract:
in order to study the origin and prevention and treatment of new
type of pneumonia coronavirus, it is necessary to make a deep
and systematic study on the work. Or the challenge is that the
time and scale of each outbreak are unpredictable, and the
infectious is very dangerous and difficult to eliminate the root
of the misjudgment. It may be a bit hasty to limit the scope of
the spread of the new type of pneumonia coronavirus by closing
the city and roads, which may be a bit rash and will not be
worth the loss. The following is a detailed analysis of the
origin and prevention of coronavirus, so as to establish an
effective national epidemic prevention and recover the economic
losses in the epidemic situation.
[Sun Chunwu.
Origin and prevention of a new type of pneumonia coronavirus.
N Y Sci J 2020;13(12):57-72]. ISSN
1554-0200 (print); ISSN 2375-723X (online).
http://www.sciencepub.net/newyork.
4. doi:10.7537/marsnys131220.04.
Key words:
Taiji theory of time and space, SARS, coronavirus, climate
change, infectious diseases and epidemics, traditional Chinese
medicine, hanging water, media, prevention and control work |
Full Text |
4
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5
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Flowering And Fruiting Phenology
Of False African Nutmeg
Bello O. A.* 1 and Akinyele A.O. 2
1Department
of Biology, Osun State College of Education, Ila-Orangun, Osun
State, Nigeria
2Department
of Forest Productions and Products, University of Ibadan,
Nigeria
*Corresponding author (Phone number: +234 8066557071 Email:
nikebello73@gmail.com)
Abstract:
Matured trees of
Pycnanthus angolensis (20.0±5.0years) were purposively
selected from Oyo (Idito ID, Adewumi AD), Osun (Gbongan GB,
Ajaba AJ), and Ekiti (Otun OT, Ayetoro AY) States, based on
availability. Onset and duration of flowering and fruiting
(months) and period of fruit colour change (days)
were monitored for 24 months. Flower initiation ranged
from September-November in which GB initiated flower in October,
AJ (September), OT (November), AY (November), ID (November) and
AD (November). However, OT, AY, ID and AD initiated flower at
the same time. Flower formation also occurred between
October-January. In GB, it occurred between Nov – December for
(30days), AJ October 3rd–November. 30th for (58days),
OT November 8th– December 8th
(30days), AY November 8th–December 8th
(30days), ID and AD formed flower between December
8th–January8th (30days). Flowering period/ duration
also varied, in GB, between October 1st-April 30th
(7mths/ 211days), AJ between September 1st –
January 31st (5mths/ 153 days), OT between
November 1st – March 31st (5mths/ 151days), AY
(April), ID and AD (June). Flowering period ranged from 5-8
months. It fruits from middle of July–June. However, Osun fruits
(July-April), Ekiti (July-May) and Oyo (November-June). Fruiting
initiation (FrI) ranged from July-November, GB: September, AJ:
July, OT: July, AY: August, ID and AD: November. However, OT and
AJ, ID and AD initiated fruit at the same time. Fruit formation
(FF) occurred between September-November. Fruit maturation
starts with brown colouration (FrM1), brown-Green
(FrM2), Green-Yellow (FrM3) and Yellow (FrM4). FrM1
in GB {September 1st – September 30 (30)}, AJ: July 1st–November
(150days), OT: July1st–August 30th
(62), AY: August1st–October 30th (90), ID:
November-December (61) and AD November1st-30th (30);
FrM2 in GB ranged from October 1st-December 15th
(105), AJ November1st-30th (30), OT (91days), AY
October (60 days), ID (61) and AD (61); FrM3: ranged
from (30 to 89days), and FrM4 ranged from (90days/3months) to
202 days. Fruiting occurred between middle of September–June.
Osun began (September-January), Ekiti (November-April) and Oyo
(November-June).
[Bello O. A.
and Akinyele A.O. Flowering And
Fruiting Phenology Of False African Nutmeg.
N Y Sci J 2020;13(12):73-78].
ISSN 1554-0200 (print); ISSN
2375-723X (online).
http://www.sciencepub.net/newyork.
5.
doi:10.7537/marsnys131220.05.
Keywords:
Phenology, Fruiting, nutmeg, and Timing |
Full Text |
5
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6
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Prevalence of Bovine Trypanosomosis, Identification of the
Vectors and Associated risk factors in Asossa District of
Benishangul Gumuz Regional State, Western Ethiopia.
1
Mubarik Kedir, *2 Mohammed Abdulkadir and *3
Haile Worku
1 *2
Benishangul Gumuz regional state, Assosa tsetse fly and
trypanosomosis control and surveillance center, Asossa,
Ethiopia. Email:
mubeks@gmail.com
and
dr.mamedoo@gmail.com
*3
Benishangul Gumuz regional state, Bureau of Agriculture and
Natural Resource, P.O. Box: 30 Assosa, Ethiopia. Email:
workuhaile29@gmail.com.
Abstract:
A cross-sectional study was carried out from December 2018 to
June 2019 in Asossa district of Benishangul Gumuz Regional
State, Western Ethiopia to determine the prevalence of bovine
trypanosomosis, identification of circulating trypanosome
species, vectors and associated risk factors. Blood samples were
collected from a total of 250 cattle and examined using buffy
coat technique. Overall 250 (4.8%) bovine trypanosomosis
prevalence was recorded. The major species of Trypanosoma
identified include; Trypanosoma congolense (58.33%), Trypanosoma
vivax (25%), Trypanosoma brucei (8.33%) and mixed infection
accounted for 8.33%. Mean packed cell volume (PCV) value of the
infected animals was lower (22.33% + 1.99) than
uninfected animals (26.95% + 2.9) and the variation was
statistically significant (P< 0.05). Overall, anemia prevalence
of 27.6% (69/250) was recorded and it was significantly higher
(66.66%) in infected cattle than in non-infected (25.63%).
Significant difference was not observed between sex groups and
age categories (p>0.05) but there was significant difference in
the prevalence of trypanosomosis among study sites and body
conditions (P< 0.05). Glossina morsitans sub morsitans was the
only tsetse fly caught and its mean apparent density measured as
fly/trap/day was 0.39. In addition, mechanical vectors of
trypanosomosis such as Tabanus (0.26f/t/d), Stomoxys (0.23
f/t/d),) and Haematopota (0.13 f/t/d) were identified. In
conclusion, the result of the current study shows lower
prevalence of Trypanosomosis, compared to the previous studies.
Therefore, continuous and strategic control measures should be
carried out to eliminate this economically important disease.
[Mubarik
Kedir, Mohammed Abdulkadir and Haile Worku.
Prevalence of Bovine Trypanosomosis, Identification of the
Vectors and Associated risk factors in Asossa District of
Benishangul Gumuz Regional State, Western Ethiopia.
N Y Sci J
2020;13(12):79-85]. ISSN
1554-0200 (print); ISSN 2375-723X (online).
http://www.sciencepub.net/newyork.
6.
doi:10.7537/marsnys131220.06.
Key words:
Asossa, Trypanosomosis, Tsetse fly, prevalence, Risk factors |
Full Text |
6
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7
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The Impact of Human and
Socio-cultural behavior on malaria transmission in a rural
community of Nigeria: The Nyumagbagh Experience
Ebuka K. Ezihe 1*;
Chukwudi M. Egbuche2, Chikaodili B. Ukonze2,3,
Udoka C. Nwangwu1, Cosmas O. Onwude1,
Paschal C. Amakiri 4, Zika U. Atisele2,
Kapu Iangba-Terngu5, Juliet O. Obi2,
Emmanuel O. Ogudu1
1
National Arbovirus and Vectors
Research Centre, Enugu
2
Department of Parasitology and
Entomology, Nnamdi Azikiwe University, Awka
3
School of Biological Sciences,
Universiti Sains Malaysia
4
Chester Medical School,
University of Chester United Kingdom
5
Ikpoikpo Primary Health Centre
Ichigh, Vandekya Benue State
*eziheebuka@yahoo.com
Abstract:
Increase in outdoor feeding and
resting of malaria vectors in most African settings where people
spend significant time outside at night have allowed vectors to
avoid interventions and consequently limit the effectiveness of
those known control measures. This study therefore looks at the
socio-cultural behavior of humans and their impact on malaria
transmission in Nyumangbah Benue State. The study has a
cross-sectional and tripod stand design that spans through
households (in block house, huts and farm house), non-peri-domestic
settings and health facilities. Direct observations,
questionnaire based interview and Health Facility records were
used concurrently for data collection. Data obtained from this
study was entered into MS Excel and analyzed using SPSS version
25 at 5% significance level.
Ownership of LLINs was highest, 40.0% among occupants of Block house and
least, 12.0% among occupants of farm house (P < 0.05). Usage of
LLINs was highest, 36.0% among occupants of Block house and
least, 8.0% among occupants of farm house (P < 0.05). Average
sleeping time of 22.00hrs, 22.30hrs and 23.00hrs were recorded
for households in block house, huts and farm house respectively.
The most reported late
outdoor activity was alcohol drinking with 49.3% occurrence
while the least reported activity was charging of phones with
22.0% occurrence (P > 0.05). Anopheles mosquitoes (15
An. gambiae s. s., 11 An. funestus, 6 An. coustani
and 1 An. moucheti) constituted 30.3% of overall
mosquito collections. Members of the An. gambiae complex
were identified as An.gambiae ss using PCR. From the
Health Facility record, malaria prevalence of 66.0% was
observed. Frequency of
malaria occurrence in a year was
17.3%, 55.8% and 26.9% for one,
two and three malaria episodes respectively (P < 0.05). This
study has shown that persistent malaria parasite transmission,
possibly due to ineffective use of LLINs can be attributed to
the socio-cultural activities of both individuals and community
members at large.
[Ebuka K. Ezihe; Chukwudi M.
Egbuche, Chikaodili B. Ukonze, Udoka C. Nwangwu, Cosmas O.
Onwude, Paschal C. Amakiri , Zika U. Atisele, Kapu Iangba-Terngu,
Juliet O. Obi, Emmanuel O. Ogudu.
The Impact of Human and Socio-cultural behavior on Outdoor
malaria transmission in a rural community of Nigeria: The
Nyumagbagh Experience.
N Y Sci J
2020;13(12):86-99]. ISSN
1554-0200 (print); ISSN 2375-723X (online).
http://www.sciencepub.net/newyork.
7. doi:10.7537/marsnys131220.07.
Keywords:
Socio-cultural activities, Human behaviour, Malaria, LLINs,
Mosquitoes, Anopheles species |
Full Text |
7
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The manuscripts in
this issue were presented as online first for peer-review,
starting from November
22, 2020.
All comments are
welcome: newyorksci@sciencepub.net.
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