Migrant Resettlement by Evolutionary Multi-objective Optimization

Migration has been a universal phenomenon, which brings opportunities as well as challenges for global development. As the number of migrants (e.g., refugees) increases rapidly in recent years, a key challenge faced by each country is the problem of migrant resettlement. This problem has attracted scientific research attention, from the perspective of maximizing the employment rate. Previous works mainly formulated migrant resettlement as an approximately submodular optimization problem subject to multiple matroid constraints and employed the greedy algorithm, whose performance, however, may be limited due to its greedy nature. In this paper, we propose a new framework MR-EMO based on Evolutionary Multi-objective Optimization, which reformulates Migrant Resettlement as a bi-objective optimization problem that maximizes the expected number of employed migrants and minimizes the number of dispatched migrants simultaneously, and employs a Multi-Objective Evolutionary Algorithm (MOEA) to solve the bi-objective problem. We implement MR-EMO using three MOEAs, the popular NSGA-II, MOEA/D as well as the theoretically grounded GSEMO. To further improve the performance of MR-EMO, we propose a specific MOEA, called GSEMO-SR, using matrix-swap mutation and repair mechanism, which has a better ability to search for feasible solutions. We prove that MR-EMO using either GSEMO or GSEMO-SR can achieve better theoretical guarantees than the previous greedy algorithm. Experimental results under the interview and coordination migration models clearly show the superiority of MR-EMO (with either NSGA-II, MOEA/D, GSEMO or GSEMO-SR) over previous algorithms, and that using GSEMO-SR leads to the best performance of MR-EMO

Concurrent administration of amiodarone and atenolol in the treatment of coronary artery disease complicated with arrhythmia, and its effect on serum levels of CD40L, TNF-α and IL-6

Purpose: To investigate the efficacy of the combination of amiodarone and atenolol in the treatment of patients with coronary artery disease (CAD) complicated with arrhythmia, and its effect on serum levels of CD-40L, TNF-α and IL-6.Methods: One hundred and twenty CAD patients with arrhythmia on admission in The First People'sHospital of Shuangliu District Chengdu, China were assigned to groups A and B, each having 60 patients. Amiodarone was administered to all the patients, while atenolol was additionally given to patients in group A. Levels of heart function indicators, inflammatory factors, blood pressure, heart rate, adverse reaction rate (ARR) and overall efficacy were evaluated for the two groups.Results: There were significantly improved levels of heart function indicators, and lower levels of CD40L, TNF-α and IL-6 in group A, when compared with group B (p < 0.001). Moreover, treatment effectiveness was higher in group A than in group B (p < 0.05). However, there was no significant difference (p > 0.05) in ARR between groups A and B.Conclusion: The combined use of amiodarone and atenolol improves heart function indicators in patients with CAD and arrhythmia, reduces the levels of inflammatory factors, normalizes blood pressure and heart rate, and lowers ARR. However, further clinical trials on this combined therapy are required prior to its use in clinical practice

Observation of Fungi, Bacteria, and Parasites in Clinical Skin Samples Using Scanning Electron Microscopy

This chapter highlights the description of the clinical manifestation and its pathogen and the host tissue damage observed under the Scanning Electron Microscope, which helps the clinician to understand the pathogen’s superstructure, the change of host subcell structure, and the laboratory workers to understand the clinical characteristics of pathogen-induced human skin lesions, to establish a two-way learning exchange database with vivid image

MODEL OF CROATIAN SEA PASSENGER PORTS MANAGEMENT RATIONALIZATION

Predmet istraživanja u ovome znanstvenom radu je razvitak pomorskoputničkih luka u Republici Hrvatskoj do 2012. godine. Za definiranje svojstava i determinanti pomorskoputničkih luka koristilo se modelom na bazi matrice rasta. Analiza i vrednovanje pojedinih elemenata modela i dobivene izravne stope rasta imale su za cilj znanstveno formulirati rezultate istraživanja, prema najvažnijim teorijskim zakonitostima razvitka pomorskoputničkih luka u Republici Hrvatskoj. Autori su se u znanstvenom istraživanju i prezentiranju rezultata istraživanja ovog rada služili kombinaciju znanstvenih metoda kao što su: metoda analize i sinteze, metoda konkretizacije, komparativna metoda i metoda modeliranja (matrica rasta). Glavna znanstvena hipoteza dokazana je izravnim stopama rasta odabranih elemenata modela a ona glasi: Znanstveno utemeljenim spoznajama o funkcioniranju i poslovanju sustava pomorskoputničkih luka moguće je predložiti model, mjere i aktivnosti za racionalno upravljanje tim lukama kako bi se osigurao rast i razvoj sustava pomorskoputničkih luka.This paper analyses the sustainable development of sea passenger ports in the Republic of Croatia until 2012. A model of growth was used in order to define the main characteristics and determinants of sea passenger ports. The purpose of the paper was to present a scientifically-based formulation of sustainable development analysis of sea passenger ports in Croatia, based on the evaluation and analysis of relevant elements and resulting direct rates. The authors in their scientific research and presentation used a various combination of scientific methods like: analysis and syntheses method, concretization method, comparative method and modeling method (growth matrix). The main scientific hypothesis is: By using scientifically based acknowledgments about functioning and management of sea passenger port system it is possible to suggest a model, measurements and activities for the rational management of sea passenger ports in Croatia in order to secure their growth and development. This scientific hypothesis was confirmed by the direct rates of growth of the model elements

Management of granulomatous lobular mastitis: an international multidisciplinary consensus (2021 edition)

Granulomatous lobular mastitis (GLM) is a rare and chronic benign inflammatory disease of the breast. Difficulties exist in the management of GLM for many front-line surgeons and medical specialists who care for patients with inflammatory disorders of the breast. This consensus is summarized to establish evidence-based recommendations for the management of GLM. Literature was reviewed using PubMed from January 1, 1971 to July 31, 2020. Sixty-six international experienced multidisciplinary experts from 11 countries or regions were invited to review the evidence. Levels of evidence were determined using the American College of Physicians grading system, and recommendations were discussed until consensus. Experts discussed and concluded 30 recommendations on historical definitions, etiology and predisposing factors, diagnosis criteria, treatment, clinical stages, relapse and recurrence of GLM. GLM was recommended as a widely accepted definition. In addition, this consensus introduced a new clinical stages and management algorithm for GLM to provide individual treatment strategies. In conclusion, diagnosis of GLM depends on a combination of history, clinical manifestations, imaging examinations, laboratory examinations and pathology. The approach to treatment of GLM should be applied according to the different clinical stage of GLM. This evidence-based consensus would be valuable to assist front-line surgeons and medical specialists in the optimal management of GLM.Improving the Ability of Diagnosis and Treatment of Difficult Disease

Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

Core-collapse supernova (CCSN) is one of the most energetic astrophysical events in the Universe. The early and prompt detection of neutrinos before (pre-SN) and during the SN burst is a unique opportunity to realize the multi-messenger observation of the CCSN events. In this work, we describe the monitoring concept and present the sensitivity of the system to the pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), which is a 20 kton liquid scintillator detector under construction in South China. The real-time monitoring system is designed with both the prompt monitors on the electronic board and online monitors at the data acquisition stage, in order to ensure both the alert speed and alert coverage of progenitor stars. By assuming a false alert rate of 1 per year, this monitoring system can be sensitive to the pre-SN neutrinos up to the distance of about 1.6 (0.9) kpc and SN neutrinos up to about 370 (360) kpc for a progenitor mass of 30$M_{\odot}$ for the case of normal (inverted) mass ordering. The pointing ability of the CCSN is evaluated by using the accumulated event anisotropy of the inverse beta decay interactions from pre-SN or SN neutrinos, which, along with the early alert, can play important roles for the followup multi-messenger observations of the next Galactic or nearby extragalactic CCSN.Comment: 24 pages, 9 figure

Neutrino Physics with JUNO

The Jiangmen Underground Neutrino Observatory (JUNO), a 20 kton multi-purposeunderground liquid scintillator detector, was proposed with the determinationof the neutrino mass hierarchy as a primary physics goal. It is also capable ofobserving neutrinos from terrestrial and extra-terrestrial sources, includingsupernova burst neutrinos, diffuse supernova neutrino background, geoneutrinos,atmospheric neutrinos, solar neutrinos, as well as exotic searches such asnucleon decays, dark matter, sterile neutrinos, etc. We present the physicsmotivations and the anticipated performance of the JUNO detector for variousproposed measurements. By detecting reactor antineutrinos from two power plantsat 53-km distance, JUNO will determine the neutrino mass hierarchy at a 3-4sigma significance with six years of running. The measurement of antineutrinospectrum will also lead to the precise determination of three out of the sixoscillation parameters to an accuracy of better than 1\%. Neutrino burst from atypical core-collapse supernova at 10 kpc would lead to ~5000inverse-beta-decay events and ~2000 all-flavor neutrino-proton elasticscattering events in JUNO. Detection of DSNB would provide valuable informationon the cosmic star-formation rate and the average core-collapsed neutrinoenergy spectrum. Geo-neutrinos can be detected in JUNO with a rate of ~400events per year, significantly improving the statistics of existing geoneutrinosamples. The JUNO detector is sensitive to several exotic searches, e.g. protondecay via the $p\to K^++\bar\nu$ decay channel. The JUNO detector will providea unique facility to address many outstanding crucial questions in particle andastrophysics. It holds the great potential for further advancing our quest tounderstanding the fundamental properties of neutrinos, one of the buildingblocks of our Universe