Structure, Conduct and Performance of Timber Market in Ife East Local Government of Osun State, Nigeria

The study focused on the structure, conduct and performance of timber market in Ife-east Local Governments of Oyo state. The major objective of this study is to assess the marketing pattern of timber in the study areas. The research method used for achieving the general objectives involved Descriptive Statistics and Gini Coefficient. Variations were observed in the price of the timber of the same species but different size because price determination is based on bargaining power. The result showed majority of respondents (58.8%) had secondary education, Muslim was dominant (54.6%) in the timber marketing and majority of marketers had regular supply of their product. . Government policy, high cost of transportation, inadequate credit facilities and high cost of energy and power were some of the constraints faced by timber marketers in the study area. The use of modern equipment and machines are needed to replace the outdated equipment in order to increase the output and profit. The level of access to credit facilities should be improved upon by encouraging the respondent to form cooperative societies so that they can mobilize enough working capital for their business

RETRACTED ARTICLE: Snail Consumption Pattern in Ibarapa Central Local Government of Oyo State, Nigeria

RETRACTED ARTICL

Fibre Characterization of Cassava Peel Leaf Meal and Its Utilization by Broilers

One hundred and twenty ( n = 120) day old broiler chicks with an average weight (100.00\ub17.00g) were randomly allotted to four dietary treatments, with cassava peel leaf meal (CPLM) as replacement for maize at (starter and finisher phases).The trial was in three phases of adaptation (1-2week),starter (3-5week) and finisher (6-9week).Thirty broilers chicks were assigned to each of the four treatments, while was replicated three times at 10 chicks each. Performance of the chicks such weight gain, feed intake and carcass yield was evaluated and the proximate and fiber quality of the diets and CPLM were also determined. Data obtained for performance evaluated was analyzed using ANOVA, while significant means were separated by SAS of the same package. The outcome revealed that CPLM had (89.93%) dry matter, (18.93%) crude protein and (43.28%) NDF, with anon-significant (p< 0.05) variation in weight gain, enhanced (p< 0.05) feed intake and depressed (p< 0.05) feed to gain ratio as CPLM inclusion increased. Dressing percentage values (69.00-73.00%) were obtained on the treatments. CPLM inclusion (0, 15, 30 and 45%) as replacement for maize in the diets of broilers produced a favourable performance

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Effect of supplementation of cassava peel meal based diet with enzyme Maxigrain® on performance, apparent nutrient digestibility and economic indices of broiler finishers

A four-week experiment was conducted to investigate the effect of Maxigrain® enzyme supplementation on performance, nutrient digestibility and economic indices of broiler finishers fed soaked and sun-dried cassava peel meal (CPM) based diet. CPM was included in the diets replacing maize at 0%, 25%, 50% and 75% respectively on a weight for weight basis. Diets with 25%, 50% and 75% CPM were supplemented with Maxigrain® at 100mg/kg. Two hundred (200) Anak, day old broiler chicks were randomly allotted to four dietary treatments in a completely randomized design (CRD) with five replicates containing ten birds each after balancing for live weight. Feed and water were supplied adlibitumthroughout the 4 weeks period of the experiment.Data on the body weight and feed intake were collected on a weekly basis and that of weight gain and feed conversion ratio(FCR) were calculated fortnightly while data on apparent nutrient digestibility was collected towards the end of the experiments in a metabolic trial. Data on feed costanalysis were calculated using the prevailing current market priceof feed ingredients.The result shows thataverage weight gain and feed intake were significantly affected (P&lt;0.05) by dietary treatments. Birds on 50% CPM enzyme diet had a significant (P&lt;0.05) higher weight gain and feed intake followed by those on 75% CPM diet as compared to control group. Enzyme supplementation of the CPM diets produced a slight improvement in feed conversion ratio than the control diet. Feed cost/kg weight gain significantly (P&lt;0.05) decreased with increasing levels of enzyme supplemented CPM. Profit margin generated were higher (P&lt;0.05) in bird fed enzyme treated CPM diet group. Apparent nutrient digestibility of the birds revealed a significant (P&lt;0.05) variation in all parameters with the exception of dry matter.Digestibility values of the birds were observed to increase as the inclusion level of enzyme supplemented CPM increased across the diet. Therefore, it is concluded that enzyme supplemented CPM could replace 75% of maize in broiler finisher diet without any deleterious effect however, supplementing CPM with enzyme Maxigrain® at 50% replacement level for maize resulted in a more profitable performance as well as improved nutrient digestibility and is hereby recommended for poultry farmers.Keywords: Cassava peel meal, enzyme, Maxigrain®, broiler finishers, performance