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Carbon dioxide (CO2) concentrations play an important role in plant production, as they have a direct impact on both plant growth and yield. Therefore, the objectives of this study were to predict CO2 concentrations in the greenhouse by applying time series models using five datasets. To estimate the CO2 concentrations, this study was conducted over a four-month period from 1 December 2023 to 31 March 2024, in a strawberry-cultivating greenhouse. Fifteen sensors (MCH-383SD, Lutron, Taiwan) were installed inside the greenhouse to measure CO2 concentration at 1-min intervals. Finally, the dataset was transformed into intervals of 1, 5, 10, 30, and 60 min. The time-series data were analyzed using the autoregressive integrated moving average (ARIMA) and the Prophet Forecasting Model (PFM), with performance assessed through root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2). The evaluation indicated that the best model performance was achieved with data collected at 1-min intervals, while model performance declined with longer intervals, with the lowest performance observed at 60-min intervals. Specifically, the ARIMA model outperformed across all data collection intervals while comparing with the PFM. The ARIMA model, with data collected at 1-min intervals, achieved an R2 of 0.928, RMSE of 7.359, and MAE of 2.832. However, both ARIMA and PFM exhibited poorer performances as the interval of data collection increased, with the lowest performance at 60-min intervals where ARIMA had an R2 of 0.762, RMSE of 19.469, and MAE of 11.48. This research underscores the importance of frequent data collection for precise environmental control in greenhouse agriculture, emphasizing the critical role of short-interval data collection for accurate predictive modeling.

Abstract Activation-induced cytidine deaminase (AID) is the key mediator of antibody diversification in activated B-cells by the process of somatic hypermutation (SHM) and class switch recombination (CSR). Targeting AID to the Ig genes requires transcription (initiation and elongation), enhancers, and its interaction with numerous factors. Furthermore, the HIRA chaperon complex, a regulator of chromatin architecture, is indispensable for SHM. The HIRA chaperon complex consists of UBN1, ASF1a, HIRA, and CABIN1 that deposit H3.3 onto the DNA, the SHM hallmark. We explored whether UBN1 interacts with AID using computational and in-vitro experiments. Interestingly, our in-silico studies, such as molecular docking and molecular dynamics simulation results, predict that AID interacts with UBN1. Subsequently, co-immunoprecipitation and pull-down experiments established interactions between UBN1 and AID inside B-cells. Additionally, a double immunofluorescence assay confirmed that AID and UBN1 were co-localized in the human and chicken B-cell lines. Moreover, proximity ligation assay studies validated that AID interacts with UBN1. Ours is the first report on the interaction of genome mutator enzyme AID with UBN1. Nevertheless, the fate of interaction between UBN1 and AID is yet to be explored in the context of SHM or CSR.

Background: Hyperprolactinemia and subclinical hypothyroidism may be associated and are usually accompanied by menstrual disorders in female patients. The objective of this study is to determine the prevalence and association of hyperprolactinemia in subclinical hypothyroidism and the associated clinical features. Materials and Methods: This is a hospital-based descriptive cross-sectional study conducted from 1 July 2022 to 31 December 2022. Serum Prolactin level was measured in subclinical hypothyroid patients who met the inclusion criteria.Descriptive statistics such as frequency and percentage for categorical variables and mean with standard deviation for quantitative variables were calculated. Pearson’s Chi-square test was used for statistical analysis and the p-value 10 µIU/mL group). There was no significant association between subclinical hypothyroidism and prolactin levels.Menstrual irregularities were the most common clinical manifestations which account for 44.2% of female subclinical hypothyroid patients and menstrual irregularities were significantly associated with hyperprolactinemia. Conclusion: The number of patients with hyperprolactinemia in subclinical hypothyroidism was substantial even though the association between them was not significant. Assessment of serum prolactin may be considered in subclinical hypothyroid patients who present with menstrual irregularities

BackgroundEnvironmental surveillance, using detection of Salmonella Typhi DNA, has emerged as a potentially useful tool to identify typhoid-endemic settings; however, it is relatively costly and requires molecular diagnostic capacity. We sought to determine whether S. Typhi bacteriophages are abundant in water sources in a typhoid-endemic setting, using low-cost assays.MethodologyWe collected drinking and surface water samples from urban, peri-urban and rural areas in 4 regions of Nepal. We performed a double agar overlay with S. Typhi to assess the presence of bacteriophages. We isolated and tested phages against multiple strains to assess their host range. We performed whole genome sequencing of isolated phages, and generated phylogenies using conserved genes.FindingsS. Typhi-specific bacteriophages were detected in 54.9% (198/361) of river and 6.3% (1/16) drinking water samples from the Kathmandu Valley and Kavrepalanchok. Water samples collected within or downstream of population-dense areas were more likely to be positive (72.6%, 193/266) than those collected upstream from population centers (5.3%, 5/95) (p=0.005). In urban Biratnagar and rural Dolakha, where typhoid incidence is low, only 6.7% (1/15, Biratnagar) and 0% (0/16, Dolakha) river water samples contained phages. All S. Typhi phages were unable to infect other Salmonella and non-Salmonella strains, nor a Vi-knockout S. Typhi strain. Representative strains from S. Typhi lineages were variably susceptible to the isolated phages. Phylogenetic analysis showed that S. Typhi phages belonged to the class Caudoviricetes and clustered in three distinct groups.ConclusionsS. Typhi bacteriophages were highly abundant in surface waters of typhoid-endemic communities but rarely detected in low typhoid burden communities. Bacteriophages recovered were specific for S. Typhi and required Vi polysaccharide for infection. Screening small volumes of water with simple, low-cost (~$2) plaque assays enables detection of S. Typhi phages and should be further evaluated as a scalable tool for typhoid environmental surveillance.

BackgroundWorksite-based health programs have shown positive impacts on employee health and have led to significant improvements in cardiovascular risk factor profiles. We aimed to determine the effect of cafeteria intervention on cardio-metabolic risk factors diet in a worksite setting (Dhulikhel Hospital) in Nepal.MethodsIn this one-arm pre-post intervention study, we recruited 277 non-pregnant hospital employees aged 18-60 with prediabetes or pre-hypertension. The study was registered in clinicaltrials.gov (NCT03447340; 2018/02/27). All four cafeterias in the hospital premises received cafeteria intervention encouraging healthy foods and discouraging unhealthy foods for six months. We measured blood pressure, fasting glucose level, glycated hemoglobin, cholesterol in the laboratory, and diet intake (in servings per week) using 24-hour recall before and six months after the intervention. The before and after measures were compared using paired-t tests.ResultsAfter six months of cafeteria intervention, the median consumption of whole grains, mono/polyunsaturated fat, fruits, vegetable and nuts servings per week increased by 2.24(pConclusionOverall, we found a decrease in consumption of refined grains and an increase in consumption of whole grains, unsaturated fats, fruits, and nuts observed a modest reduction in blood pressure and LDL cholesterol following a 6-month cafeteria-based worksite intervention incorporating access to healthy foods.

Introduction: In orthopaedic practice, injuries to the anterior cruciate ligaments occur almost on an epidemic scale, yet it continues to be of interest in orthopaedic surgery whether semitendinosus or gracilis hamstring autografts can be used for better anterior cruciate ligament reconstruction. This study aimed to determine the prevalence of anterior cruciate ligament reconstruction using semitendinosus tendon autografts among paramilitary patients undergoing arthroscopic surgery in a tertiary care centre. Methods: This descriptive cross-sectional study was conducted among paramilitary individuals who had knee injuries and were admitted between 6 february 2020 and 26 January 2022 for arthroscopic surgery after obtaining ethical approval from the Institutional Review Committee. Demographic details and the mode of injury were obtained from the patients. The treating orthopaedic surgeons evaluated the pre- and post-analysis Lysholm Knee Score and Lysholm Knee Scale based on the patient's response. A convenience sampling method was used. The point estimate was calculated at a 95% Confidence Interval. Results: Among 166 patients, anterior cruciate ligament reconstruction using a semitendinosus tendon autograft was done in 58 (34.94%) (27.69-42.19, 95% Confidence Interval). Most of the patients in the pre-analysis had mild/periodic limp issues 52 (89.66%), followed by instability during athletics or other severe exertion 43 (74.14%). Conclusions: The prevalence of anterior cruciate ligament injuries in our study is higher than other studies done in similar settings.

Abstract Background Most of the scoring systems to predict difficult laparoscopic cholecystectomy are based on pre-operative clinical and radiological findings. Recently the Parkland Grading Scale system was introduced as a simple intra-operative grading scale. This study aims to utilize the Parkland Grading Scale system to assess the intraoperative challenges during laparoscopic cholecystectomy. Method This was a prospective, cross-sectional study done at Chitwan Medical College and Teaching Hospital, Chitwan, Nepal. All the patients underwent laparoscopic cholecystectomy from April 2020 to March 2021. Based on the initial intra-operative finding, Parkland Grading Scale was noted and at the end of the surgery, the level of difficulty was given by the operating surgeon. All the pre-operative, intra-operative, and post-operative findings were compared with the scale. Results Out of 206 patients, there were 176 (85.4%) females, and 30 (14.6%) males. The median age was 41 years (Range 19–75). The median body mass index was 23.67 kg/m2. There were 35(17%) patients with a history of previous surgery. The rate of conversion to open surgery was 5.8%. According to Parkland Grading Scale, 67(32.5%), 75(36.4%), 42(20.4%), 15(7.3%), and 7(3.4%) were graded as grade 1, 2, 3, 4, and 5 respectively. There was a difference in the Parkland grading scale in patients with a history of acute cholecystitis, gallbladder wall thickness, pericholecystic collection, stone size, and body mass index (p

The purpose of this paper is to propose an algorithm for finding a common element of the set of fixed points of relatively nonexpansive mapping and the set of solutions of split inclusion problem with a way of selecting the stepsize without prior knowledge of the operator norm in the framework of Banach spaces. Then, the main result is used to the common fixed point problems of a family of relatively nonexpansive mappings and split equilibrium problem. Finally, a numerical example is provided to illustrate the main result.

The optimal indoor environment is associated with comfortable temperatures along with favorable indoor air quality. One of the air pollutants, particulate matter (PM), is potentially harmful to animals and humans. Most farms have monitoring systems to identify other hazardous gases rather than PM due to the sensor cost. In recent decades, the application of environmental monitoring systems based on Internet of Things (IoT) devices that incorporate low-cost sensors has elevated extensively. The current study develops a low-cost air quality monitoring system for swine buildings based on Raspberry Pi single-board computers along with a sensor array. The system collects data using 11 types of environmental variables along with temperature, humidity, CO2, light, pressure, and different types of gases, namely PM1, PM2.5, and PM10. The system is designed with a central web server that provides real-time data visualization and data availability through the Internet. It was tested in actual pig barns to ensure stability and functionality. In addition, there was a collocation test conducted by placing the system in two different pig barns to validate the sensor data. The Wilcoxon rank sum test demonstrates that there are no significant differences between the two sensor datasets, as all variables have a p-value greater than 0.05. However, except for carbon monoxide (CO), none of the variables exhibit correlation exceeding 0.5 with PM concentrations. Overall, a scalable, portable, non-complex, low-cost air quality monitoring system was successfully developed within a cost of USD 94.

Introduction: Globally, COVID-19 pandemic has a significant impact on mental health. In Nepal, COVID-19 positive cases have to self-isolate at home in multi-generational and multi-family households. This could be strongly associated with depression, anxiety, and stress-related health outcomes. Additionally, COVID-19 related stigma and fear of transmission may intensify depression, anxiety, and stress symptoms. This study determined the prevalence of depression, anxiety, and stress symptoms and their association with presence of COVID-19 symptoms and comorbid conditions among home isolated COVID-19 positives in the Karnali province, Nepal. Methods: We conducted a cross-sectional study to assess depression, anxiety, and stress symptoms among 402 home isolated COVID-19 patients of Karnali province from January to May 2021 using “Depression, Anxiety and Stress Scale-21 (DASS-21)”. We interviewed patients to collect socio-demographic, DASS-21, COVID-19 symptoms, comorbid conditions, and self-treatment. We conducted a telephonic interview using a standardized questionnaire using Kobotoolbox. We calculated the prevalence of depression, anxiety, and stress symptoms. We utilized univariate and multivariate logistic regression to determine their association with the presence of COVID-19 symptoms and comorbid conditions. In multivariate logistic regression, we adjusted sociodemographic factors (age, gender, ethnicity, marital status, monthly family income, education level), smoking status and history of self-treatment. We reported adjusted odds ratios (aOR) with 95% confidence intervals. All analyses were conducted in R (version: 4.0.3). Results: The prevalence of depression, anxiety and stress symptoms among home isolated COVID-19 patients were 8.0% (95% CI: 5.5 to 11.1), 11.2% (95% CI: 8.3 to 14.7), and 4.0% (95% CI: 2.3 to 6.4) respectively. Higher odds of depression symptoms (aOR: 2.86; 95% CI: 1.10–7.44, p = 0.03), anxiety symptoms (aOR: 3.81; 95% CI: 1.62 to 8.93; p =