Evaluation of optimizing Monteggia fracture-dislocation care: surgical innovations, radiological insights, and functional rehabilitation in adult patients

Background: Monteggia fractures, rare in adults, involve proximal ulna fracture and radial head dislocation. Managing these injuries poses challenges, fueling historical debates and driving advancements in internal fixation. Watson Jones' frustration highlights the ongoing pursuit of effective surgical approaches for optimal outcomes and functional limb restoration. his study aims to evaluate Monteggia fracture-dislocation treatment by analyzing radiological outcomes for structural insights and alignment post-surgery. Methods: This prospective observational study, conducted at Swapno general hospital, Mirpur-2, Dhaka, Bangladesh from 1st January 2021 to 31 January 2024, enrolled 30 patients with radiologically confirmed Monteggia fracture-dislocation. Surgical procedures involved creating an interval, anatomical reduction, and fixation, with regular follow-ups assessing outcomes, including range of motion, X-rays, and VAS scores, while statistical analysis utilized SPSS version 23. Results: The highest frequency percentage in the age distribution was observed among individuals aged 41-45, constituting 20% of the total sample, while the lowest frequencies were recorded in the 31-35 and >51 age groups, each representing 10% of the sample. Physical assault emerged as the leading cause of injury, accounting for 40% of cases, followed by road traffic accidents at 36.66% and falls at 23.33%. In terms of final outcomes, the majority of patients (43.33%) achieved a good outcome, while the lowest percentage (10%) resulted in poor outcomes.  Conclusions: In conclusion, addressing Monteggia fracture-dislocation in adults requires navigating inherent complexities. Modern internal fixation methods prove impactful, emphasizing the need for precise classification and stable anatomical reduction

Feasibility analysis of floating photovoltaic power plant in Bangladesh: A case study in Hatirjheel Lake, Dhaka

The installation of large-scale photovoltaic (LSPV) power plants is a solution to mitigate the national energy demand in Bangladesh. However, the land crisis is one of the key challenges for the rapid growth of ground-mounted LSPV plants in Bangladesh. The per unit cost of energy from ground-mounted PV systems is rising as a response to numerous difficulties, particularly for large-scale electricity generation. To overcome the issues with land-based PV, the floating photovoltaic (FPV) could be a viable solution. To the aspirations of the Sustainable and Renewable Energy Development Authority (SREDA), this article has investigated the feasibility of constructing a floating solar plant at Hatirjheel Lake in Dhaka, Bangladesh. The lake is an excellent spot to build an FPV plant due to its geographic location and climatic conditions inside the capital city. In this paper, the design of the plant and tariff are carried out using the PVsyst simulator. It is found that the optimum cost of energy for the plant is $ 0.0959/KWh, which is lesser than the currently operational ground-mounted PV plants in Bangladesh. Additionally, the projected 6.7 MW plant can meet 12.5 % of the local energy demand. Furthermore, the FPV plant is capable to cut off 6685 tons of CO2 annually. A reduction in power costs and environmental protection would assist the government of Bangladesh in achieving the sustainable development goals and electricity generation target of 6000 MW from solar photovoltaics by 2041 as well

The Effects of Non-Uniformly-Aged Photovoltaic Array on Mismatch Power Loss: A Practical Investigation towards Novel Hybrid Array Configurations

One of the most important causes of a reduction in power generation in PV panels is the non-uniform aging of photovoltaic (PV) modules. The increase in the current–voltage (I–V) mismatch among the array modules is the primary cause of this kind of degradation. There have been several array configurations investigated over the years to reduce mismatch power loss (MPL) caused by shadowing, but there have not been any experimental studies that have specifically examined the impact of various hybrid array topologies taking PV module aging into consideration. This research examines the influence of the non-uniform aging scenario on the performance of solar PV modules with various interconnection strategies. Experiments have been carried out on a 4 × 10, 400 W array with 12 possible configurations, including three proposed configurations (LD-TCT, SP-LD, and LD-SP), to detect the electrical characteristics of a PV system. Finally, the performances of different module configurations are analyzed where the newly proposed configurations (SP-LD and LD-SP) show 15.80% and 15.94% higher recoverable energy (RE), respectively, than the most-adopted configuration (SP). Moreover, among the twelve configurations, the SP configuration shows the highest percentage of MPL, which is about 17.96%, whereas LD-SP shows the lowest MPL at about 4.88%

The effects of non-uniformly-aged photovoltaic array on mismatch power loss : A practical investigation towards novel hybrid array configurations

One of the most important causes of a reduction in power generation in PV panels is the non-uniform aging of photovoltaic (PV) modules. The increase in the current–voltage (I–V) mismatch among the array modules is the primary cause of this kind of degradation. There have been several array configurations investigated over the years to reduce mismatch power loss (MPL) caused by shadowing, but there have not been any experimental studies that have specifically examined the impact of various hybrid array topologies taking PV module aging into consideration. This research examines the influence of the non-uniform aging scenario on the performance of solar PV modules with various interconnection strategies. Experiments have been carried out on a 4 × 10, 400 W array with 12 possible configurations, including three proposed configurations (LD-TCT, SP-LD, and LD-SP), to detect the electrical characteristics of a PV system. Finally, the performances of different module configurations are analyzed where the newly proposed configurations (SP-LD and LD-SP) show 15.80% and 15.94% higher recoverable energy (RE), respectively, than the most-adopted configuration (SP). Moreover, among the twelve configurations, the SP configuration shows the highest percentage of MPL, which is about 17.96%, whereas LD-SP shows the lowest MPL at about 4.88%

Logistics technology transfer model (LTTM)

This paper gives an integrative model for the transferring of logistics technology into organizations. There are three versions of this model; two for organizational technology and one for inter-organizational technology. The study makes use of previous innovation-diffusion models along with adoption and implementation studies of logistics in literature. Also, the study looks at other relevant empirical studies in logistics (questionnaires and case studies) in order to draw sufficient understanding of logistics technology and to help in forming the constructs for the integrative model. This study contributes to theory with four things. First, it decomposes the adoption stage into three sub stages. Second, it introduces the cyclical effect to the historical stage models. Third, it gives new definitions for the stages in the stage model based on current empirical studies and Lewin-Schein Theory of Change. Fourth, it gives an inter-organizational logistics technology transfer model

Survey of logistics performance and adoption of logistics technology in Omani companies

A mailed questionnaire was used to collect data from Omani companies regarding their current logistics practices. The questionnaire covers several segments of logistics such as logistics department, importance of logistics activities, performance measurements and logistics technology adoption. The results show that Omani industry is aware of the importance of logistics and working steadily toward an integrative approach of logistics. However, they lack the formal mechanism to guide them through a better use of logistics technology. In addition, performance measurements that are based on cost are used more than those based on customer service

Cancer Classification from Microarray Data using Gene Feature Ranking

A significant challenge in DNA (Deoxyribo Nucleic Acid) microarray analysis can be attributed to the problem of having a large number of features (genes) but with a small number of samples in the dataset. When applying statistical methods to analyse the microarray data, particular care is required to deal with problem such as the low classification accuracy of models brought about by the small number of features that have predictive capability. To overcome these problems, proper approaches for data normalisation, feature reduction, and identifying the optimal set of genes are critical. In this paper, we apply the Gene Feature Ranking [5] method to select genes with high trust values from high dimensional cancer microarray datasets. Our contribution lies in the use of a different metric for calculating the trust values that are more domain specific for cancer datasets. By choosing a pre-defined threshold based on user's knowledge, only genes that show sufficient trustworthiness to be considered for constructing the classification model are retained. Through experimentation on three microarray datasets, namely Acute Lymphoblastic Leukemia (ALL), lymph node negative primary breast cancer, and High Grade Glioma, we are able to confirm that the classification accuracy obtained by the genes selected by the modified GFR method is consistently higher than when the method was not used

Enhanced Energy Savings in Indoor Environments with Effective Daylight Utilization and Area Segregation

Daylight utilization is one of the key areas for energy savings in indoor environments. An important factor often not considered by the existing daylight utilization approaches is the segregation of the floor into task areas and non-task areas. It is also observed that the inherent asymmetry in the daylight penetration pattern in most indoor environments is not given consideration while designing artificial lighting arrangements. Moreover, daily and annual daylight availability is found to have a symmetrical variation pattern, which is a significant factor often overlooked in utilizing daylight. Thus, the energy assessment can be inaccurate, leading to an incorrect or impractical evaluation of energy savings. This research proposes a comprehensive new approach to assess the energy-saving potential of daylight utilization in indoor environments. This new method combines two approaches to overcome the aforementioned issues. (1) The considered area is segmented into task area and non-task areas (or surrounding area) and considers different levels of required illuminance for each separate area. (2) The variation of available daylight at the considered location is accounted for by dividing the daylight penetration into multiple levels. For the study, the method is first applied to a simulated office space considering real-life parameters, where the annual energy savings were estimated at 83.67%. For further validation, a comparison with a case from an existing method was also carried out, and the proposed method gave an energy saving estimation of 73.45%. This indicates a 10% higher energy saving estimation as compared to the original study, against which the proposed method was compared