Effect of varying ratios of dietary calcium and phosphorus on performance, phytate P and mineral retention in Japanese quail (Coturnix cotnurnix Japonica).

The effect of different ratios of dietary calcium (Ca) to total phosphorus (tP) on the performances and retention of minerals and phytate phosphorus (pP) by quails were studied using 600 unsexed broiler quails from 1 to 21 days of age. Treatments consist of five corn and soybean meal (CSM) based diets with variable ratios of Ca:tP (1.96, 1.81, 1.66, 1.53 and 1.39) with four replicate of 30 birds each. Diets contained 3g chromium oxide (Cr2O3)/kg as marker. All ratios of Ca and P had no significant effect on feed consumption of birds. There were pronounced differences (P < 0.05) in body weight gain of chicks among treatments at second and third week of age. Improved (P < 0.05) feed conversion ratio was observed at 3 wk of age. Higher ratios of Ca:tP (1.96 and 1.81) increased (P < 0.05) the retention of P compared to other treatments while ratio of 1.96 decreased (P < 0.05) the retention of Ca and phytate. In conclusion, Ca:tP ratio of 1.81 showed positive effect on most of parameters measured in this study

KAROMA: Karonese Morphologycal Analyzer Based on Graph Theory

Karonese is a local language of Karo ethnics from north Sumatra, Indonesia. Karonese terms have unique phonology, which exhibits variations in spellings and pronunciations while retaining the same meaning and in time. A morphological analyzer is a very critical issue for the enhancement of Natural language Processing (NLP) research on local languages, as well as in Karonese. This work proposed a morphology analyzer of Karonese based on graph theory (KAROMA). With its unique phonology, the formation of the Karonese morphology analyzer uses a word-based morphology approach.&nbsp; Karonese terms that exhibit variations in spellings and pronunciations while retaining the same meaning and in time are expressed in a completed graph. Thus, the set of completed graphs form the Karonese WordNet. Furthermore, the stemming and lemmatization mechanism for Karonese is checked in the WordNet. This study also provides two KAROMA evaluators; member checking-based and text similarity-based by modified cosine similarity. The KAROMA evaluation process involves synthetic sentences of Karonese to calculate its text similarity. As a result, KAROMA detects the uniqueness of Karonese terms and normalizes them. The performance of KAROMA is 99% based on member checking and 97.16% of text similarity-based. Of course, this success is part of the development of NLP research for Karonese, such as sentiment analysis, text summarization, et

Heat conductivity and permeability of aluminium foam

Abstract Aluminium foam is a material that structured by porous medium with certain characteristics such as good energy absorption, high heat conductivity and good heat transfer. These characteristics that aluminium metal foam provides, can be used in wide range of applications such as on heat exchanger, automotive and etc. The aim of this study is to evaluate the heat conductivity and permeability of the aluminium foam. The porosity of aluminium foam produced by NaCl replication are ranging from 60% to 75%. Besides, simulation by CFD software were carried out to compare with the effect of pore structure on heat conductivity and to determine the heat flux. At the end of the study, the heat conductivity value and permeability of experimental and analysis were identified. The value of heat conductivity k of aluminium foam is better compared to solid aluminium when the temperature increased. The permeability of the aluminium foam is dependent on the porosity of the aluminium foam. Higher porosity resulting to a higher rate of permeability.</jats:p

Computational fluid dynamics analysis on the effect of flow distribution on pedestrian in urban area

Abstract Buildings in urban area consist of various heights and building arrangements. Meanwhile, the pedestrians at the area must be considered for their wind comfort and wind safety. This is because, near high-rise buildings, high wind velocities are often introduced at pedestrian level that can be experienced as uncomfortable or even dangerous. Nowadays feasibility Computational Fluid Dynamics (CFD) for the assessment in wind engineering such as wind comfort and safety of pedestrian are very demanding. Hence, this study is conducted using CFD to analyses the effect of different building heights on the wind flow distribution towards pedestrian. The study was done on two different cases based on two different buildings (uniform height and non-uniform height) with squared and staggered arrangements. The turbulent wind over the pedestrian was acquired by solving the 3D steady state Reynold’s-Average Navier-Stokes (RANS) equations using RNG k-ε turbulence closure model. The results show that changes on the height of the buildings varies from the center of the urban canyon based on the vorticity of the flow distribution.</jats:p

Comparative Analysis of Distance Functions on DBSCAN Algorithm: Mapping Malnourished Toddlers in Medan City, Indonesia

Medan City is one of Indonesia\u27s largest cities and faces fundamental challenges in addressing malnourished toddlers. It had a stunting prevalence of 19.9% in 2022. The high rates necessitate a practical approach to identifying and managing high-risk areas. This study aims to map districts in Medan City based on the spatial data of public health center locations and malnutrition data for toddlers, using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. DBSCAN is a popular clustering algorithm because of its ability to group data based on density and detect outliers as noise. However, using the Euclidean distance function in DBSCAN may not be appropriate for all geospatial cases. The novelty lies in comparing five distance functions (Euclidean, Manhattan, Minkowski, Cosine, Chebyshev) within DBSCAN to determine which produces the most meaningful clustering in a geospatial health context. The study shows that DBSCAN with the Chebyshev distance function cannot effectively map the malnutrition problem in toddlers, as indicated by a Silhouette index (SI) value below 0.25. The clustering quality using Minkowski and Cosine distance functions in DBSCAN is not superior to that of the classical DBSCAN, with all three producing weak and unclear structures. The most effective mapping results come from using the Manhattan distance function in DBSCAN, which yields an SI value of 0.51045, two clusters, and optimal parameters of Minpts = 6–9 and ε = 6.98–7.8. The first cluster includes two districts (Medan Labuhan and Marelan), while the remaining districts form the second cluster. The analysis of different distance functions provides new insights into how selecting the appropriate distance measure can influence clustering quality in a geospatial context with DBSCAN. The similarity of the clusters is expected to inform decision-making in addressing toddler malnutrition issues in Medan City

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide. Methods: A multimethods analysis was performed as part of the GlobalSurg 3 study—a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital. Findings: Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3·85 [95% CI 2·58–5·75]; p<0·0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63·0% vs 82·7%; OR 0·35 [0·23–0·53]; p<0·0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer. Interpretation: Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised. Funding: National Institute for Health and Care Research

Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseBackground: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit