111 research outputs found
sj-pdf-1-trr-10.1177_03611981231158639 – Supplemental material for Freight Operational Characteristics Mined from Anonymous Mobile Sensor Data
No full textSupplemental material, sj-pdf-1-trr-10.1177_03611981231158639 for Freight Operational Characteristics Mined from Anonymous Mobile Sensor Data by Taslima Akter, Sarah Hernandez and Pedro V. Camargo in Transportation Research Record</p
Trends. Salman Rushdie and Taslima Nasrin: Terrorists?
No full textThe author discusses fatwas that have been issued against United Kingdom\u27s Salman Rushdie and Bangladesh\u27s Taslima Nasrin
Physical and Spiritual Shades of Love in Taslima Nasreen’s Love Poems
No full textTaslima Nasreen is a Bangladeshi author whose name is always in the news. Sometimes it\u27s because she said something bold and honest about fanaticism, and other times it\u27s because she gave a voice to oppressed people who had never dared to say what they felt inside. Today, the world is moving forward in the area of technology. Art and writing are getting better and better as time goes on. Still, it\u27s sad to say that there is a corner where everything is dark, even though it looks like everything is fine from the outside. The author who has the courage to bring this darkness out into the open is Taslima Nasreen, who is not afraid of the oppressive powers. The poet in Taslima Nasreen can\u27t ignore how important it is to touch the body, which also needs to rest and feel safe. Love is the medicine that makes the body feel better. The kiss is a way to show love. When the poet has done everything from early morning until late in the evening, he or she is too tired. Love is what she needs. She is used to getting two kisses on the lips from her lover. She can\u27t get enough of love being shown through a kiss on her lips. She can\u27t picture being able to sleep or rest without a kiss from her lover
Persons with disabilities living in rural areas of Bangladesh: An exploration of their mental health and experiences in accessing support during the COVID-19 pandemic
No full textPublished online: 02 Oct 2024.
OnlinePublThe COVID-19 pandemic has presented a major public health challenge across the world, including in Bangladesh. Little scholarly work has explored the mental health experiences of persons with disabilities in rural areas of Bangladesh during the pandemic. A qualitative case study was conducted in the rural areas of Narayanganj, Gazipur, and Narsingdi. A total of 13 in-depth interviews (IDIs) with persons with disabilities and 13 key informant interviews (KIIs) with different stakeholders and caregivers were conducted. Thematic analysis was used to analyse the data. The findings revealed five major themes: Lockdown-induced mental health problems included fear of infection, symptoms of anxiety and depression, sleep disturbance, suicidal ideation, and domestic violence. Perceived attitude toward mental health issues includes stigma and discrimination. Perceived vulnerability was observed in relation to gender, age, and type of disability. Barriers to seeking mental health care include distance, financial burden, and indifference toward mental health care. Finally, availability of mental health care reaffirms a lack of mental health care in rural areas. The findings highlight the importance of integrating mental health into the primary healthcare system with a focus on persons with disabilities to minimize mental health repercussions during times of emergency.Md. Omar Faruk, Christopher Boyle, Kelly-Ann Allen, Kamal Uddin Ahmed Chowdhury, Nazmul Bari, Mohammad Rezaul Alam, Kerrie Lissack, Taslima Akter, Shafayet Hossain, Sumaiya Noor Sanda, Parvin Akter and Ben Adam
Evaluation of Machine Learning Fairness in Regression Domain
No full textAs the application of Machine Learning (ML) models continues to expand across various domains, it becomes increasingly important to ensure the fairness of these models' function. While measuring fairness metrics is straightforward in the classification domain, it remains complex and computationally intractable in regression. To address the computational intractability challenge, prior research proposed various methods to approximate fairness metrics in regression, but their consistency remain an open question. To fill this gap, this dissertation investigates the consistency of fairness measurement methods in regression tasks through the following studies. The first study examines the consistency of the outcome of various fairness measurement methods. The experimental results reveal varying levels of consistency, with some methods, particularly, the probabilistic classification-based density ratio estimation approach, exhibit relatively poor consistency in certain cases. Then, the second study focuses on the probabilistic classification-based density ratio estimation approach to fairness measurement and explores the sensitivity of its outcome to the choice of underlying classifiers. Results demonstrate that the use of different classifiers could impact fairness values, leading to inconsistent measurements in certain circumstances. The third study analyzes alternative density ratio measurement approaches beyond the probabilistic classification-based one. The experimental results indicate concerning inconsistencies among various density ratio estimation-based approaches, raising fundamental questions about their reliability for fairness measurement in regression. To gain deeper insight, the fourth study investigates whether data distributions could contribute to such inconsistencies by generating synthetic datasets with varying distributions. The findings suggest that inconsistencies may indeed arise from the data distribution in certain cases.Computer Scienc
Travel Behavior of a Mid-West College Community: A case Study of the University of Toledo
No full textEFFECT OF GIBBERELLIC ACID AND SPACING ON GROWTH AND YIELD OF LETTUCE (Lactuca sativa L.)
No full textDEPARTMENT OF HORTICULTURE
SHER-E-BANGLA AGRICULTURAL UNIVERSITY
DHAKA-1207In the present study the effect of both Gibberellic Acid (GA
) and plant spacing on growth
and yield of lettuce was examined at Horticulture Farm, Sher-e-Bangla Agricultural
University, Dhaka during the period from October 2013 to January 2014. During cultivation,
three levels of Gibberellic Acid (GA
3
), (G
0
= 0 mg/L, G
1
3
=25 mg/L and G
=50 mg/L) and four
levels of plant spacing’s as S
1
= 15x20 cm, S
2
=20x25 cm, S
3
=25x25 cm, S
2
=25x30 cm were
evaluated in Randomized Complete Block Design with three replications. In case of different
factors the maximum gross fresh yield (29.05 t/ha) was recorded from G
, whereas the
minimum gross fresh yield (16.27 t/ha) was recorded from G
0
4
1
. The spacing of S
recorded
the maximum gross fresh yield (23.8 t/ha) due to highest fresh weight of plants, while the
minimum gross fresh yield (14.82 t/ha) was obtained from the widest spacing’s S
due to
lowest number of plants at 45 DAS. In case of combined effect the highest gross fresh yield
(27.73 t/ha) was obtained from G
1
S
where as the lowest gross fresh yield (16.27 t/ha) was
recorded from G
0
S
4
3
. Cost benefit analysis indicate that the highest benefit ratio (2.04) was
obtained from G
1
S
3
, where as the lowest benefit ratio (1.16) was obtained from G
. On the
basis of overall effect and economic analysis it can be concluded that GA
concentration (25
mg/L) and plant spacing (25x25 cm) on growth and yield proved to be the most promising
3
for getting optimum yield in lettuce and it is apparent that it was suitable for lettuce
0
3
S
4
1A Thesis
Submitted to the Department of Horticulture
Sher-e-Bangla Agricultural University, Dhaka
In partial fulfillment of the requirements
for the degree
of
MASTER OF SCIENCE (MS)
IN
HORTICULTUR
EFFECT OF SEED SIZE AND SPACING ON GROWTH AND YIELD OF MUNGBEAN
No full textA Thesis
Submitted to Faculty of Agriculture,
Sher-e-Bangla Agricultural University, Dhaka,
in partial fulfillment of the requirements
for the degree of
MASTER OF SCIENCE (MS)
IN
AGRONOMY
SEMESTER: JANUARY-JUNE, 2015An experiment was conducted at the Agronomy field, Sher-e-Bangla
Agricultural University, Dhaka, during March to May, 2014 to study the
effect of seed size and spacing on the growth and yield of mungbean. The
experiment was consisted of three seed sizes; viz., small (3.2mm), medium
(3.2 mm to 4mm) and large ( >4mm) and four row spacings (20cm, 25cm,
30cm and 35cm). The experiment was laid out in Randomized Complete
Block Design (RCBD) (factorial) with three replications. The results showed
that growth, yield and yield attributes of mungbean significantly influenced
by seed sizes, spacings and their combinations. At harvest, medium seed sized
gave the longest plant height (44.8 cm), maximum number of leaves plant
(10.0), the highest leaf dry weight plant
-1
(7.6g), flower and pod dry weight
plant
-1
(3.4g), total plant dry weight (15.5g), biological yield plant
(3.0g),
harvest index (0.38) and seed yield (1.58t ha
gave the highest seed yield (1.57t ha
-1
-1
-1
). The plant of 30cm spacing
), biological yield (3.8 t ha
index (0.39). The combined effect of medium seed size (3.2-4mm) and
sowing at 30 cm spacing showed maximum grain yield (2.4 t ha
) with higher
value of harvest index (40.00%).
-1
-1
), harvest
-
- …
