Hadhramout University Journal of Natural & Applied Sciences

Relationship between Length, Weight, and Some Morphometric of the Cuttlefish Sepia pharaonis Ehrenberg, 1831 from the Coastal Waters of Hadhramout Governorate, Yemen

Abdulaziz Omar Thabet, Taha Saleh Salem Bakr, Kamal Ahmed Baaoom — Tue, 18 Feb 2025 00:00:00 +0000

The cuttlefish (Sepia pharaonis) is great economic importance to Yemen, due to their high commercial value in national and international markets. S. pharaonis is benthic species that live closely associated with the seabed. The relationship between total length, weight, body width, and circumference is crucial in estimating allowable catch and the appropriate mesh size for use in a particular fishery. Samples were collected from commercial catches at landing centers (Al-Shahr, Al-Haima and Al-Qarn) during the period from October 2023 to March 2024. Previous studies have mainly focused on classification, while biological studies on the commercial value of this species in Yemeni waters have been lacking. This study revealed that the R₂ values were high in all cases, and the length-weight relationship showed decreasing growth for 0.8209 males, 0.9661 females, and 0.9491 both genders together. Regarding the relationships of mantle length, mantle width, total body; Officinalis length, and Widths of The fragmocone, the quadratic equations had similar or equal R₂ values to linear equations. This provides valuable information for the Fish Base database and contributes to research and management of cuttlefish fisheries in the coastal waters of Hadhramout Governorate, especially, and Yemeni waters in general.

The Effect of Spill on Morphological and Anatomical Properties for Some Plants in Shabwah Governorate – Yemen.

Yaser Seed Bahurmuz, Taleb Ahmed Asfoor, Salem Mohammed Bin Salman — Tue, 18 Feb 2025 00:00:00 +0000

A factorial experiment was conducted in the garden of the College of Education, University of Shabwah, during the period from August 2021 to December 2021. The aim was to study the effects of crude oil concentrations (25%, 50%, 75%, 100%) and the control (0%) on some morphological and anatomical traits, such as root length, stem length, leaf area, number of leaves, cuticle layer thickness, and the thickness and size of epidermal cells in the roots of Sorghum bicolor (L.), Senna alexandrina Mill, and Acacia hamulosa plants. The results were analyzed using a completely randomized block design. The findings showed that Acacia hamulosa exhibited significant differences in most studied traits. High crude oil concentrations (75% and 100%) caused significant differences in root length, number of leaves, cuticle layer thickness, and epidermal thickness in the roots.

Simulation and Economic Analysis for Separating Propylene and Propane Based on Distillation Column

Tue, 18 Feb 2025 00:00:00 +0000

The distillation column represents an important unit in industrial processes to separate the mixture into multi products. This work shows simulation and economic analysis to separate propylene from propane to meet the required purity, besides to determine the cost of the process. The simulation process of distillation column is carried out via mass and energy balances for separating the propylene from propane using Aspen HYSYS®. The economic analysis conducted to define the total module cost for predicting the cost estimation of the process according to the Chemical Engineering Plant Cost Index (CEPCI) in 2022. The simulation results showed that the required purity in propylene was 99.2 mole percent (mol%), which was accomplished by having a distillation column comprising 148 trays and 74 as feed trays at 17°C and 2.3 MPa and the column operating at a pressure of 1.4 MPa with column height around 67m. Energy consumption of the condenser and re-boiler were 17.46 GJ/hr and 17.69 GJ/hr, respectively. The total module cost of a new construction process was USD$ 10,043,039.

Assessment of Knowledge, Attitude and Practice of Nursing staff about Infection Prevention in Governmental Hospital at Mukalla City, Hadhramout

Yahya Khamis Ahmed Almualm — Tue, 18 Feb 2025 00:00:00 +0000

The objective of this study is to assess the knowledge, attitude, and practice of nursing staff among nursing staff working in governmental hospital in Mukalla city, Yemen. The study was conducted from November 13 to December 31, 2019, and involved a total of 519 nursing staff participants. The study found that a significant majority of nurses demonstrated good levels of knowledge in infection prevention, with 54.3% in general knowledge, 86.5% in knowledge of attitudes, and 62.5% in knowledge of practices related to policies, procedures, and principles. Participants in this research had strong infection prevention knowledge, attitudes, and practices. Government hospitals in Mukalla must undertake continuous and periodic training and work on a health education guide dedicated to the subject of infection prevention if they are to stay up-to-date on the latest research and best practices in this area.

Field Study to Identify Plant Composition of Vegetation Cover in Wadi Dawan, Hadhramout, Yemen

Murad Mohammed Kanji — Tue, 18 Feb 2025 00:00:00 +0000

A study was conducted during the period from 18/9/2023 to 26/5/2024 to determine the plant composition of vegetation cover in Wadi Dawan. The field study found that Wadi Dawan’s vegetation cover contained 38 plant families. These families comprised 76 genera consisting of 83 species. Of the 83 plant species, 60 were naturally occurring, while 21 species were cultivated, and 2 species were present as a mixture of naturally occurring and cultivated. The different forms of plant species were also tallied, where 23 species appeared in the form of trees, 35 species appeared in the form of shrubs, and 25 species appeared in the form of herbs. The most common plants in Wadi Dawan were the Date Palm (Phoenix dactylifera), Christ’s Thorn Jujube (Zizphus spina – Christi), and Umbrella Thorn (Acacia tortilis). The study noted the importance of ecological awareness among local residents in order to maintain the vegetation cover. The study also recommended passing laws to prevent urban sprawl into farmland which is threatening the local natural environment and habitat.

Data-Driven Strategies for Winning IoT Challenges

Rasha A. Bin-Thalab, Taher A. Ghaleb — Tue, 18 Feb 2025 00:00:00 +0000

In the competitive world of Internet of Things (IoT) endeavors, predicting a project’s success in contests can be challenging due to subjective and varied judging criteria. Our study addresses this problem by using machine learning to analyze outcomes in IoT contests, focusing on 104 competitions with a total of 5,863 projects from the Hackster.io platform. To the best of our knowledge, this is the first study to address this problem in the IoT community. We evaluated seven different machine learning models, which revealed that ensemble methods, such as random forest and gradient boosting, were the most effective, achieving an average accuracy of 80% and an Area Under the Curve (AUC) of 77%. We also performed a mixed-effects logistic regression that not only predicts a project’s likelihood of winning with an AUC of 86% but also uncovers the most significant factors that increase a project’s chances of success. These insights are valuable for IoT project creators, providing them with practical advice on how to improve their projects. Our research also offers useful insights for other stakeholders in the IoT community, such as IoT engineers and contest organizers, helping them understand what makes projects more likely to win. This study is a significant step in helping participants in IoT contests make informed decisions and increase their chances of success.