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COSINE is a dark matter search experiment based on an array of low background NaI(Tl) crystals located at the Yangyang underground laboratory. The assembly of COSINE-100 was completed in the summer of 2016 and the detector is currently collecting physics quality data aimed at reproducing the DAMA/LIBRA experiment that reported an annual modulation signal. Stable operation has been achieved and will continue for at least 2 years. Here, we describe the design of COSINE-100, including the shielding arrangement, the configuration of the NaI(Tl) crystal detection elements, the veto systems, and the associated operational systems, and we show the current performance of the experiment.

Suaahara was an innovative, complex, multi‐sectoral, large‐scale, nutrition programme in Nepal to increase exposure to nutrition‐related information and services, improve nutrition‐related knowledge and practices among pregnant women and mothers of infants and young children, and improve their nutrition. This study evaluated the effectiveness of Suaahara to improve nutrition and nutrition‐related practices by comparing changes over 10 years between intervention and comparison districts. The samples of households at baseline in 2012 and endline in 2022 were 2040 and 2480, respectively, from 120 old wards. The impact was estimated using intent‐to‐treat regression models in which survey year, arm and their interaction were fixed effects, accounting for district clustering, with the interaction estimating differences between arms in changes over time. The intervention, relative to comparison, reduced maternal underweight by 8.43 percentage points (p < 0.001), consistent with improved maternal and fetal condition that was manifested as the greater length of 0.761 z‐scores (p = 0.004) of infants 0–5.9 months. Complementary feeding practices with children between 6 and 23.9 months of age improved more in the intervention than comparison districts: child dietary diversity by 0.294 food groups (p = 0.072) and minimum dietary diversity by 9.51 percentage points (p = 0.028), feeding sick child more (p = 0.002) and administering oral rehydration solution and zinc for diarrhoea (p = 0.057) by about 17 percentage points each, and minimum meal frequency (p = 0.004) and minimum acceptable diet (p = 0.022) by about 15 percentage points each. Substantial impacts were demonstrated despite political restructuring, earthquakes, and other major challenges that Nepal and Suaahara faced and limitations in statistical power because of the reduced number of districts that then could be included in the study. Registered at clinicaltrials.gov with identifier NCT05448287. Key messages Suaahara reduced maternal underweight, consistent with improved maternal and fetal condition that was manifested in the greater length of 0–5.9 months old infants. Suaahara improved complementary feeding practices with children ages 6–23.9 months: child dietary diversity, minimum meal frequency, minimum acceptable diet, feeding sick children more and administering oral rehydration solution and zinc for diarrhoea. Substantial improvements in the nutrition of mothers and young children from Suaahara demonstrate that a multi‐sectoral, large‐scale, nutrition programme in Nepal can reduce undernutrition. Suaahara, relative to comparison areas, reduced maternal underweight and improved complementary feeding practices with children 6–23.9 months of age, increasing the percentages of children having minimum dietary diversity, minimum meal frequency and minimum acceptable diet; feeding sick child more and administering oral rehydration solution and zinc for diarrhoea.

The COSINE-100 dark matter search experiment is an array of NaI(Tl) crystal detectors located in the Yangyang Underground Laboratory (Y2L). To understand measured backgrounds in the NaI(Tl) crystals we have performed Monte Carlo simulations using the Geant4 toolkit and developed background models for each crystal that consider contributions from both internal and external sources, including cosmogenic nuclides. The background models are based on comparisons of measurement data with Monte Carlo simulations that are guided by a campaign of material assays and are used to evaluate backgrounds and identify their sources. The average background level for the six crystals (70 kg total mass) that are studied is 3.5 counts/day/keV/kg in the (2–6) keV energy interval. The dominant contributors in this energy region are found to be 210Pb and 3H.

Background Staphylococcus aureus, an important nosocomial pathogen, is frequently associated with infections in human. The management of the infections by it especially methicillin resistant ones is often difficult because methicillin resistant S. aureus is usually resistant to multiple antibiotics. Macrolide-lincosamide streptogramin B family of antibiotics is commonly used to treat such infections as an alternative to vancomycin. Methods This study was conducted over the period of one and half year from November 2013–April 2015 in Microbiology laboratory of Nepal Medical College and Teaching Hospital, Kathmandu, Nepal to find the incidence of different phenotypes of MLS B resistance among S. aureus from clinical samples and their association with methicillin resistance. Two hundred seventy isolates of S. aureus were included in the study. Methicillin resistance was detected by cefoxitin disc diffusion method and inducible clindamycin resistance by erythromycin and clindamycin disc approximation test (D-test). Results Of the 270 clinical isolates of S. aureus, 25.1% (68/270) were MRSA. Erythromycin and clindamycin resistance was seen in 54.4% (147/270) and 41.8% (113/270) isolates respectively. Resistance to erythromycin and clindamycin were higher in MRSA as compared to MSSA (erythromycin-resistance: 88.2% Vs 39.1% and clindamycin-resistance: 79.4% Vs 41.8%). The overall prevalence of i MLS B and c MLS B phenotype was 11.48% (31/270) and 29.25% (79/270) respectively. Both i MLS B and c MLS B phenotypes predominated in MRSA strains. Conclusions Detection rate of MRSA in our study shows the necessity to improve in healthcare practices and to formulate new policy for the control of MRSA infections. Clindamycin resistance in the form of i MLS B and c MLS B especially among MRSA emphasizes the need of D-test to be performed routinely in our set up while using clindamycin as an alternative choice to anti-staphylococcal antibiotics like vancomycin and linezolid in the treatment of staphylococcal infections.

An electric field mill (EFM‐100) short‐range sensor has been installed on the rooftop of the six story building of Kathmandu BernHardt College, Tribhuvan University (TU), Bafal, Kathmandu for continuous monitoring of lightning events within a 38 km in aerial distance. It constantly monitors lightning activities and activates graphical display alerts on a connected computer. The EFM‐100 monitor software displays a real time graph of the atmospheric electrical field, as well as the distance of lightning strikes within the specified range. Lightning strikes were recorded over a 3‐month period, spanning 57 days, primarily during the both premonsoon and monsoon seasons, from May 19 to August 18, 2024. In addition, the effect of lightning events on atmospheric pollutants such as PM 1 , PM 2.5 , PM 10 , relative humidity, temperature, and particle density of ozone per cubic centimeter were analyzed. These atmospheric parameters were obtained from the Central Department of Environment Science, TU, Nepal. The results clearly show that the atmospheric pollutants PM 1 , PM 2.5 , and PM 10 , found to be higher during the lightning events. PM 2.5 concentrations increased by an average of approximately 18%, PM 10 by about 12%, and ozone by about 22% compared with prelightning background levels. Similarly, the atmospheric temperature increased by 1.5°C–2.0°C during the strong lightning events followed by a gradual decrease thereafter. These findings provide clear evidence of the magnitude of pollutants and thermal changes associated with lightning. It was also observed that relative humidity is inversely proportional to temperature, as it rises due to lightning phenomena. Furthermore, lightning activity was found to significantly increase with rising concentrations of ozone particles in the atmosphere.

We have developed ultra-low-background NaI(Tl) crystals to reproduce the DAMA results with the ultimate goal of achieving purity levels that are comparable to or better than those of the DAMA/LIBRA crystals. Even though the achieved background level does not approach that of DAMA/LIBRA, it is crucial to have a quantitative understanding of the backgrounds. We have studied background simulations toward a deeper understanding of the backgrounds and developed background models for a 9.16-kg NaI(Tl) crystal used in the test arrangement. In this paper we describe the contributions of background sources quantitatively by performing Geant4 Monte Carlo simulations that are fitted to the measured data to quantify the unknown fractions of the background compositions. In the fitted results, the overall simulated background spectrum well describes the measured data with a 9.16-kg NaI(Tl) crystal and shows that the background sources are dominated by surface 210 Pb and internal 40 K in the 2–6-keV energy interval, which produce 2.4 counts/day/keV/kg (dru) and 0.5 dru, respectively.

This paper responds to the research question, “can urban farming in Nepal help create sustainable cities?” Especially after the COVID-19 pandemic, urban residents have begun to realize that food transported from long distances is not always reliable. Urban farming can help produce fresh food locally and help urban residents become self-reliant by engaging in healthy eating habits and practicing sustainable agricultural techniques in food-desert areas, while creating a positive impact on the environment through regenerative agricultural methods. In doing so, urban farms can help the growers save on food expenditures and even earn some additional income, while also improving air quality and minimizing the effects of urban heat islands. This practice also helps reduce greenhouse gases through plant carbon use efficiency (CUE), as vegetation carbon dynamics (VCD) can be adjusted while supporting the circular economy. As urban lands command higher prices than agricultural land, urban farming usually happens on residential yards, roofs, balconies, community gardens, and dedicated areas in public parks. Rainwater harvesting and redirecting can help irrigate urban farms, which can be part of rain gardens. The national census of 2021 identified that 66% of Nepal’s population lives in urban areas. However, the World Bank (2018) showed that only 21 of Nepal’s population was projected to live in urban areas in 2021. It is not debatable that the urbanization process in Nepal is on the rise. Thus, urban agriculture can play an important role in supplementing residents’ food needs. Many cities in Nepal have already successfully adapted to urban farming wherein residents grow food on their building sites, balconies, and rooftop, often growing plants in pots, vases, and other types of containers. The UN-Habitat, with the support of the European Union and local agencies, published a rooftop farming training manual (2014), showing the feasibility of urban farming in Nepal. This paper discusses how public-private partnership (PPP) can promote urban agriculture and make the process more effective and attractive to urban-farming households. It also analyzes how a PPP approach also facilitates the use of better technology, advisory support, and use of research extension activities. This paper draws on a literature review, uses remote-sensing imagery data and data from National Census Nepal 2021, and the authors’ professional experiences related to best practices in the areas to analyze the benefits and challenges related to urban farming both in Nepal and Arizona, USA. The paper provides recommendations for Nepali cities to maximize the benefit provided by urban farming. It is expected to be useful to Nepali policymakers, government agencies, and nonprofit organizations which promote sustainability, and organic farming with a sustainable supply chain.

The Korea Invisible Mass Search (KIMS) collaboration has developed low-background NaI(Tl) crystals that are suitable for the direct detection of WIMP dark matter. Building on experience accumulated during the KIMS-CsI programs, the KIMS-NaI experiment will consist of a 200 kg NaI(Tl) crystal array surrounded by layers of shielding structures and will be operated at the Yangyang underground laboratory. The goal is to provide an unambiguous test of the DAMA/LIBRA annual modulation signature. Measurements of six prototype crystals show progress in the reduction of internal contamination from radioisotopes. Based on our understanding of these measurements, we expect to achieve a background level in the final detector configuration that is less than 1 count/day/keV/kg for recoil energies around 2 keV. The annual modulation sensitivity for the KIMS-NaI experiment shows that an unambiguous 7 σ test of the DAMA/LIBRA signature would be possible with a 600 kg year exposure with this system.

Background The risk of losing traditional knowledge of medicinal plants and their use and conservation is very high. Documenting knowledge on distribution and use of medicinal plants by different ethnic groups and at spatial scale on a single platform is important from a conservation planning and management perspective. The sustainable use, continuous practice, and safeguarding of traditional knowledge are essential. Communication of such knowledge among scientists and policy makers at local and global level is equally important, as the available information at present is limited and scattered in Nepal. Methods In this paper, we aimed to address these shortcomings by cataloguing medicinal plants used by indigenous ethnic groups in Nepal through a systematic review of over 275 pertinent publications published between 1975 and July 2021. The review was complemented by field visits made in 21 districts. We determined the ethnomedicinal plants hotspots across the country and depicted them in heatmaps. Results The heatmaps show spatial hotspots and sites of poor ethnomedicinal plant use documentation, which is useful for evaluating the interaction of geographical and ethnobotanical variables. Mid-hills and mountainous areas of Nepal hold the highest number of medicinal plant species in use, which could be possibly associated with the presence of higher human population and diverse ethnic groups in these areas. Conclusion Given the increasing concern about losing medicinal plants due to changing ecological, social, and climatic conditions, the results of this paper may be important for better understanding of how medicinal plants in use are distributed across the country and often linked to specific ethnic groups.

Background There are handful hypothesis-driven ethnobotanical studies in Nepal. In this study, we tested the non-random medicinal plant selection hypothesis using national- and community-level datasets through three different types of regression: linear model with raw data, linear model with log-transformed data and negative binomial model. Methods For each of these model, we identified over-utilized families as those with highest positive Studentized residuals and underutilized families with highest negative Studentized residuals. The national-level data were collected from online databases and available literature while the community-level data were collected from Baitadi and Darchula districts. Results Both dataset showed larger variance (national dataset mean 6.51 < variance 156.31, community dataset mean 1.16 < variance 2.38). All three types of regression were important to determine the medicinal plant species selection and use differences among the total plant families, although negative binomial regression was most useful. The negative binomial showed a positive nonlinear relationship between total plant family size and number of medicinal species per family for the national dataset ( β 1 = 0.0160 ± 0.0009, Z 1 = 16.59, p  < 0.00001, AIC1 = 1181), and with similar slope and stronger performance for the community dataset ( β 2 = 0.1747 ± 0.0199, Z 2 = 8.76, p  < 0.00001, AIC2 = 270.78). Moraceae and Euphorbiaceae were found over-utilized while Rosaceae, Cyperaceae and Caryophyllaceae were recorded as underutilized. Conclusions As our datasets showed larger variance, negative binomial regression was found the most useful for testing non-random medicinal plant selection hypothesis. The predictions made by non-random selection of medicinal plants hypothesis holds true for community-level studies. The identification of over-utilized families is the first step toward sustainable conservation of plant resources and it provides a baseline for pharmacological research that might be leading to drug discovery.