Seismic Performance Assessment of Deteriorating Reinforced Concrete Box Culvert

A culvert is a crucial component of highways whose proper operation is connected indirectly to the state's economy and the effectiveness and safety of road transportation. Therefore, it is crucial to assess the culvert structure's safety. In this work, a seismic assessment of undamaged and damaged reinforced concrete box culverts is performed. The deterioration in culvert slab thickness over time due to corrosion is considered. The structure was subjected to seismic loading along with standard static loading to observe the performance of a box culvert. The results show that the seismic response of culverts would be influenced by aging and deterioration of slab thickness from its original conditions. The finding of this study highlights the importance of considering the effect of corrosion on the slab thickness when assessing the seismic performance of culverts, as it can have a significant impact on the structure's safety

Skills of ICTs among Library Professionals of South Punjab

The study aimed to explore the skills, knowledge, abilities, and competencies of library professionals working in the academic libraries of public sector universities and private sector universities located in south Punjab. Library professionals working in the libraries of public sector universities and private sector universities were the population of the study. Convenience sampling technique was used to meet the objectives of the study. Quantitative research technique followed by the questionnaire as a data collection tool was used to accomplish the research. The findings of the study revealed that ICT is an essential part of the libraries and librarians are there to perform library operations to facilitate the library users of their respective libraries. It is the basic necessity of the present age to learn new skills, abilities, and competencies related to ICTs to survive in the profession of librarianship. Training courses about ICT are an effort to enhance the skills of library professionals. Library associations can play an important role in uplifting the trainings regarding ICTs

Motor-vehicle crash patient injury patterns from a level one trauma center in a metropolitan city: A cross-sectional study

Introduction: Motorcycles are an inexpensive and popular mode of transportation in Karachi, Pakistan, despite the increasing number of motor vehicle injuries. Although motorcycle-related injuries have been studied previously, to our knowledge, there are no published reports on the orthopedic injuries associated with motorcycles crashes. Methods: We conducted a cross-sectional study of medical records of patients with motorcycle-related injuries in 2015, at the Aga Khan University in Karachi, Pakistan. We reviewed the patient demographic and medical data, helmet use, the Glasgow coma score, the spectrum of injuries, length of stay, specific injury diagnosis, and final disposition of patients. Data were analyzed using IBM SPSS Statistics for Windows, Version 20.0 (IBM Corp., Armonk, NY). Results: We identified 450 motorcycle crash injuries. Ninety percent of these victims were males, and 81% were driving at the time of the crash. More than 50% of crashes involved patients age under 29 years, and most crashes (35%) involved patients in the third decade of life. We observed that 6.8% of accidents involved patients younger than 10 years of age. For all the motorcycle-related injuries, 45% occurred during the weekend (Saturday and Sunday). Helmets were worn by only 7% of patients. The most common types of collisions were motorcycle versus car followed by lone motorcycle fall. Of the injuries sustained, the cumulative frequency of orthopedic injuries was the highest (63%), of which 34% were lower limb injuries and 29% were upper limb injuries. The second highest frequency of injuries were head injuries (46%). We also found that 85% motorcycle injury victims sustained fractures. Conclusion: The frequency of motorcycle-related injuries was high among young adults, and closed fractures of the lower limbs were the most common orthopedic injuries related to motorcycle crashes. Use of helmets among motorcyclists needs to be reinforced to prevent head injuries. We suggest motorcyclists to use protective clothes and motorcycle sidebars to prevent fractures of the lower limb. Further research is needed to determine the type of fractures, type of head injuries, surgical interventions required, and morbidity and mortality in motorcycle-related injuries and whether designing separate lanes for motorcycles will reduce the burden of these injuries on the healthcare system

Determinants and cost of production of dates in Pakistan: An analytical study

Abctract. Present study is an attempt to analyse the production determinants and the cost of production of dates using causal approach of Ordinary Least Squares Methods using secondary data. The costs associated with the agriculture production are computed from labour costs, expenses incurring on the pesticides and fertilizers and the cost of seeds and amount of rent when the piece of land is acquired on contract basis. Provision of credit facility to the farmers and growers can play a major role in softening the constraints of the farmers and motivate them to enhance production of dates. Moreover, technical and technological advancement and adoption of the cost saving technology by farmers can also help farmers improve quality and per acre yield of their production. The findings of the study suggest that the employment in agriculture sector is the most important factor affecting production of dates followed by mechanization and technological advancement and third is the credit to the farmers. All coefficients have significance of less than 0.05 with substantially large generalizability power.Keywords. Production, Technology, Credit, Dates, Finance, Growers, Labour, Costs, Fertilizers, Pesticides, Seeds.JEL. D24, J08, Q16, H81

Short-Term Load Forecasting Using AMI Data

Accurate short-term load forecasting is essential for efficient operation of the power sector. Predicting load at a fine granularity such as individual households or buildings is challenging due to higher volatility and uncertainty in the load. In aggregate loads such as at grids level, the inherent stochasticity and fluctuations are averaged-out, the problem becomes substantially easier. We propose an approach for short-term load forecasting at individual consumers (households) level, called Forecasting using Matrix Factorization (FMF). FMF does not use any consumers' demographic or activity patterns information. Therefore, it can be applied to any locality with the readily available smart meters and weather data. We perform extensive experiments on three benchmark datasets and demonstrate that FMF significantly outperforms the computationally expensive state-of-the-art methods for this problem. We achieve up to 26.5% and 24.4 % improvement in RMSE over Regression Tree and Support Vector Machine, respectively and up to 36% and 73.2% improvement in MAPE over Random Forest and Long Short-Term Memory neural network, respectively

Antioxidant and hypoglycemic potential of phytogenic cerium oxide nanoparticles

The article processing charge was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 491192747 and the Open Access Publication Fund of Humboldt-Universität zu Berlin.Plants provide humans with more than just food and shelter; they are also a major source of medications. The purpose of this research was to investigate the antioxidant and hypoglycemic potential of green synthesized CeONPs using Mentha royleana leaves extract. The morphological and physicochemical features of CeONPs were evaluated by UV–Visible spectrophotometry, Scanning Electron Microscopy, Energy Dispersive X-rays and Fourier-transform infrared spectrometry, Dynamic light scattering, Atomic Force Microscopy, Zeta Potential. The average size range of synthesized CeONPs diameter between 46 and 56 nm, crystalline in shape, with Polydispersity index value of 0.2 and subatomic particles mean diameter was 4.5–9.1 nm. The antioxidant capability of CeONPs was assessed using DPPH, ABTS+, hydrogen peroxide, hydroxyl radical scavenging, and reducing power tests. The hypoglycemic potential of CeONPs was investigated using alpha-amylase, alpha-glucosidase, glucose absorption by yeast cells, and antisucrase. The effective concentrations were 500 and 1000 µg/ml found good in suppressing radical species. To explore the hypoglycemic potential of CeONPs, alpha-amylase, alpha-glucosidase, glucose absorption by yeast cell, and antisucrase assays were performed. Glucose absorb by yeast cells assay was tested for three distinct glucose concentrations: 5 mmol/L, 10 mmol/L, and 25 mmol/L. Green synthesize CeONPs showed a dose-dependent response, higher concentrations of CeONPs imposed a stronger inhibitory impact on the catalytic site of enzymes. This study suggest that CeONPs could possibly binds to the charge carrying species and act as competitive inhibitor which slow down the enzyme substrate reaction and prevents enzymatic degradation. The study’s findings were outstanding, which bodes well for future medicinal applications of CeONPs.Peer Reviewe

A retrospective review on antibiotic use in acute watery diarrhea in children in a tertiary care hospital of Karachi, Pakistan

Introduction: Responsible for at least one in nine pediatric deaths, diarrheal diseases are the leading, global cause of death. Further abetted by improper antibiotic use in a hospital setting, children with acute watery diarrhea can see prolonged hospital stays, and unwanted adverse effects such as antibiotic resistance. Hence, this study is aimed to identify the association between antibiotic usage for the treatment of acute watery diarrhea in children, and the impact this line of management has on the duration of their hospital stay.Methods: A retrospective review was conducted at the department of Pediatric of Aga Khan University Hospital (AKUH) in Karachi. A total of 305 records of children aged 6 months to 5 years who were admitted with a diagnosis of acute watery diarrhea from June 2017 -December 2018 was screened, of which 175 fulfilled the eligibility criteria. A predesigned questionnaire was used to collect demographic information, comorbidities, and clinical features, severity of dehydration, clinical examination, treatment received, and laboratory investigations. The primary outcome of this study was the length of hospital stay measured against the number of hours a child stayed in hospital for treatment of acute watery diarrhea. The statistical analysis was carried out using STATA version 14 to reach conclusive results.Results: 175 patients presented with acute watery diarrhea, out of which 106 (60.6%) did not receive antibiotics. The median (IQR) age of the group that did not receive antibiotics was 12.0 (12.0) months compared to 15.0 (12.0) months for the group that did receive antibiotics. In both groups, there were more males than females, less than 15% of the patients were severely malnourished (WHZ score -3SD) and less than 10% of the patients were severely dehydrated. The median (IQR) length of hospital stay (hours) was 32.0 (19.0) respectively for the group that did not receive antibiotic and 41.0 (32.0) for the group that did receive antibiotic therapy. The expected length of hospital stay for the group that received antibiotic therapy was 0.22 hours higher than the group that did not. Finally, as compared to females, hospital stay for males was longer by 0.25 hours.Conclusion: In conclusion, antibiotic use was associated with a prolonged hospital stay in children with acute watery diarrhea as compared to children who did not receive antibiotics. Large scale robust prospective studies are needed to establish this association using this observational data

A Comprehensive Overview of Large Language Models

Large Language Models (LLMs) have shown excellent generalization capabilities that have led to the development of numerous models. These models propose various new architectures, tweaking existing architectures with refined training strategies, increasing context length, using high-quality training data, and increasing training time to outperform baselines. Analyzing new developments is crucial for identifying changes that enhance training stability and improve generalization in LLMs. This survey paper comprehensively analyses the LLMs architectures and their categorization, training strategies, training datasets, and performance evaluations and discusses future research directions. Moreover, the paper also discusses the basic building blocks and concepts behind LLMs, followed by a complete overview of LLMs, including their important features and functions. Finally, the paper summarizes significant findings from LLM research and consolidates essential architectural and training strategies for developing advanced LLMs. Given the continuous advancements in LLMs, we intend to regularly update this paper by incorporating new sections and featuring the latest LLM models