Voice Pathologies Classification and Detection Using EMD-DWT Analysis Based on Higher Order Statistic Features

BackgroundThe voice is a prominent tool allowing people to communicate and to change information in their daily activities. However, any slight alteration in the voice production system may affect the voice quality. Over the last years, researchers in biomedical engineering field worked to develop a robust automatic system that may help clinicians to perform a preventive diagnosis in order to detect the voice pathologies in an early stage.MethodIn this context, pathological voice detection and classification method based on EMD-DWT analysis and Higher Order Statistics (HOS) features, is proposed. Also DWT coefficients features are extracted and tested. To carry out our experiments a wide subset of voice signal from normal subjects and subjects which suffer from the five most frequent pathologies in the Saarbrücken Voice Database (SVD), is selected. In The first step, we applied the Empirical Mode Decomposition (EMD) to the voice signal. Afterwards, among the obtained candidates of Intrinsic Mode Functions (IMFs), we choose the robust one based on temporal energy criterion. In the second step, the selected IMF was decomposed via the Discrete Wavelet Transform (DWT). As a result, two features vector includes six HOSs parameters, and a features vector includes six DWT features were formed from both approximation and detail coefficients. In order to classify the obtained data a support vector machine (SVM) is employed. After having trained the proposed system using the SVD database, the system was evaluated using voice signals of volunteer's subjects from the Neurological department of RABTA Hospital of Tunis.ResultsThe proposed method gives promising results in pathological voices detection. The accuracies reached 99.26% using HOS features and 93.1% using DWT features for SVD database. In the classification, an accuracy of 100% was reached for “Funktionelle Dysphonia vs. Rekrrensparese” based on HOS features. Nevertheless, using DWT features the accuracy achieved was 90.32% for “Hyperfunktionelle Dysphonia vs. Rekurrensparse”. Furthermore, in the validation the accuracies reached were 94.82%, 91.37% for HOS and DWT features, respectively. In the classification the highest accuracies reached were for classifying “Parkinson versus Paralysis” 94.44% and 88.87% based on HOS and DWT features, respectively.ConclusionHOS features show promising results in the automatic voice pathology detection and classification compared to DWT features. Thus, it can reliably be used as noninvasive tool to assist clinical evaluation for pathological voices identification.     

Optimization of the demineralization process for the extraction of chitin from Omani Portunidae segnis

Chitin is an organic polymer and it is the most frequent marine natural polysaccharide after cellulose. The main natural sources of chitin are exoskeletons of insects, mollusks, the cell walls of certain fungi and crustaceans such as crabs, shrimps and lobsters. The waste of these marine exoskeletons are pollutant for the environment, but these waste raw materials could be useful for production of commercial products like chitin. Chitin is an important raw material used for water treatment, agricultural, biomedical, biotechnological purposes, food and paper industry and cosmetics. Based on the variety of importance, the present targets of this study are to optimize the demineralization process for the removal of calcium and phosphate contents from the waste of Portunidae segnis (P. segnis) by using acid at ambient temperature and to characterize the isolated demineralized sample as well as the percentage of remaining calcium and phosphorus contents by using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). The prepared waste carbs coarse powder samples of P. segnis were demineralized with seven different concentrations of hydrochloric acid at ambient temperature for 1 h. All the demineralization samples by the different concentrations were analyzed by using sensitive ICP-OES. The results based on ICP-OES showed that among the seven different concentrations used in the demineralization process for the isolation of chitin, the best was 2 M of HCl concentration for the production of chitin. The results also showed that the optimized concentration 2 M HCl gave the minimum concentration of calcium and phosphorus compared to other concentrations applied in this experiment. In conclusion, the optimized concentration for demineralization process could be used commercially for the isolation or commercial production of chitin for agricultural, biomedical and biotechnological purposes.     

弗里熊蜂蜜罐中糖液成分分析

【目的】熊蜂是众多植物的重要传粉昆虫,以采集并贮藏花蜜和花粉为主要食物。本研究旨在探究熊蜂的营养需求及明确其对采集的食物是否存在酿制过程。【方法】利用白砂糖溶液(糖浓度50%)饲喂弗里熊蜂Bombus friseanus蜂群,收集并检测其贮藏在蜜罐中1~7 d的糖液,作为处理组样品;同时将上述白砂糖溶液置于灭菌离心管中,排除熊蜂取食,作为对照组样品,测定贮藏期间处理组和对照组糖液的pH值、糖浓度、糖组分及α-淀粉酶和转化酶活性。【结果】弗里熊蜂B. friseanus贮藏在蜜中1~7d的糖液pH值平均为3.74±0.13,显著低于对照组(6.55±0.15);糖浓度与贮藏时间显著正相关,贮藏6d后糖浓度显著高于贮藏1~3 d时的;糖液组分更加丰富,除蔗糖外利用HPLC还检出果糖、葡萄糖、麦芽糖和海藻糖,贮藏4~5 d的糖液中己糖含量极显著高于贮藏1~3 d和6~7 d时的,己糖和麦芽糖含量分别与蔗糖含量极显著负相关,总糖中果糖和麦芽糖含量与贮藏时间极显著负相关,葡萄糖、蔗糖和海藻糖的含量分别与贮藏时间极显著正相关。贮藏6 d的糖液中α-淀粉酶活性显著高于其他时间,其他贮藏时间样品间α-淀粉酶活性差异不显著,而所有样本的转化酶活性在21.17~38.05 U/g FW之间,随贮藏时间的延长差异不显著。【结论】弗里熊蜂B. friseanus采集人工饲喂的糖溶液贮藏在蜜罐中,经其加工后发生了物理和生物化学变化,揭示熊蜂存在酿蜜能力。本研究的结果为熊蜂生物学及繁育研究提供了参考。     

Factors associated with Diaphorina citri immigration into commercial citrus orchards in São Paulo State,Brazil

Seasonality often influences multiple aspects of vector-borne plant diseases. With respect to the management of plant disease vectors, an understanding of the factors driving seasonal changes in vector flight activity may improve management outcomes by facilitating more proactive application of control measures. One of the most challenging issues for citrus Huanglongbing management is to forecast when disease primary spread by bacteriliferous Diaphorina citri will occur. We monitored the temporal patterns of immigrating psyllids, using upwards of 1,200 traps spread among 9 citrus farms and checked on a weekly basis over 4 years. This dataset was analysed with a set of hierarchical models to estimate the effect of climatic variables on citrus foliage production (i.e. flush), and effects of climatic variables and citrus foliage dynamics on D. citri catches over the season. The results showed substantial seasonal variability in immigrating D. citri abundance, with the critical dispersal/migration period occurring between end of winter and spring. During this period, 65% of the total psyllids were collected on sticky traps. Seasonality of immigrating D. citri coincided with changes in certain climate variables, with negative effects of humidity and daily maximum temperatures, and a positive effect of rainfall amount in prior weeks. Maximum temperature and both daily minimum temperature and rainfall during prior weeks were also associated with new citrus flush production, which itself was positively related to immigrating D. citri abundance. Based on these results, citrus growers should be aware and intensify the frequency of psyllid control tactics (i.e. insecticide and/or kaolin sprays) during this period in order to prevent Ca. L. asiaticus transmission. These results are an important step towards developing the predictive framework needed to refine D. citri and huanglongbing management.     

Revisiting the phosphotyrosine binding pocket of Fyn SH2 domain led to the identification of novel SH2 superbinders.

Protein engineering through directed evolution is an effective way to obtain proteins with novel functions with the potential applications as tools for diagnosis or therapeutics. Many natural proteins have undergone directed evolution in vitro in the test tubes in the laboratories worldwide, resulting in the numerous protein variants with novel or enhanced functions. we constructed here an SH2 variant library by randomizing 8 variable residues in its phosphotyrosine (pTyr) binding pocket. Selection of this library by a pTyr peptide led to the identification of SH2 variants with enhanced affinities measured by EC50. Fluorescent polarization was then applied to quantify the binding affinities of the newly identified SH2 variants. As a result, three SH2 variants, named V3, V13 and V24, have comparable binding affinities with the previously identified SH2 triple‐mutant superbinder. Biolayer Interferometry assay was employed to disclose the kinetics of the binding of these SH2 superbinders to the phosphotyrosine peptide. The results indicated that all the SH2 superbinders have two‐orders increase of the dissociation rate when binding the pTyr peptide while there was no significant change in their associate rates. Intriguingly, though binding the pTyr peptide with comparable affinity with other SH2 superbinders, the V3 does not bind to the sTyr peptide. However, variant V13 and V24 have cross‐reactivity with both pTyr and sTyr peptides. The newly identified superbinders could be utilized as tools for the identification of pTyr‐containing proteins from tissues under different physiological or pathophysiological conditions and may have the potential in the therapeutics.     

犬瘟热与野生动物

犬瘟热是一种犬瘟热病毒引起的多种动物共患传染病,在世界范围内的家犬和野生动物中多次爆发。犬瘟热的跨种间传播对多种野生动物如东北虎、非洲狮、雪豹、大熊猫等野生动物的种群安全造成严重威胁,并且感染的宿主范围仍在扩大。近年来的研究表明,犬瘟热病毒的不断变异和野生动物栖息地内流浪犬只的增多使我国野生动物尤其是野外种群正在面临犬瘟热的严重威胁。为了更好地应对犬瘟热对野生动物的危害,本文综述了犬瘟热的病原特征和在野生动物中的流行病学、致病机制、诊断与治疗以及疫苗免疫方面的研究进展,在此基础上提出了针对传染源、传播途径、易感动物三方面的控制措施来减少野生动物犬瘟热的传播风险。目前,由于国内自然保护区科研技术力量欠缺以及防控意识薄弱,对于野生动物犬瘟热的监测处于空白状态,这无疑加大了野生动物犬瘟热的防控难度。因此,为了保障我国野生动物种群安全,我们需要加强在野生动物犬瘟热监测与流行病学方面的研究工作,建立有效的监测防控体系将犬瘟热阻挡在野生动物种群之外。     

基于多源数据的“安全公正空间”在大通湖流域环境管理中的应用

如何在确保生态系统安全的同时有效地开发和利用资源、保障人类福祉是当前面临的挑战。近年来兴起的“安全公正空间”(Safe and Just Operating Space, SJOS)理论框架为人类可持续发展提供了有效的评估方法, 即充分利用自然资源来提高人类社会福祉的同时确保环境生态安全。研究以长江中下游地区大通湖流域为例, 根据流域内的社会经济数据、环境监测数据和湖泊沉积记录, 从社会基础和环境系统两个方面构建该流域的SJOS框架, 并利用环境库兹涅兹曲线来揭示总体环境变化特征。结果表明: 流域内淡水利用、空气质量、水质均突破环境上限, 处于危险的状态, 此外流域内无贫困和产业创新两个社会基础维度的完成度相对较低。环境库兹涅兹曲线揭示了大通湖流域内社会-生态系统大致分为初始阶段(1950s—1980s)、严重退化阶段(1980s—2000s)和逐步改善(2000s后)三个阶段。研究为维持区域可持续发展提供了重要的参考信息, 同时也为区域SJOS框架的构建提供了一种有效的方法。     

Les sépultures italiennes du Paléolithique supérieur. Reconstitutions du régime alimentaire

The identification of dietary habits is increasingly seen as a fundamental aspect for studying the ancient human populations. Accordingly, several projects aiming to identify Paleolithic individuals’ dietary patterns were developed to analyze the organic component of bone tissue and identify isotopic markers to reconstruct the food typology. Bone fragments from six individuals were selected for carbon and nitrogen stable isotopes analysis. The interpretation of human isotopic data was framed through a dataset of twenty-one Italian Paleolithic individuals. The isotopic data generated for the Paleolithic individuals agree with the information already provided by the archaeological record concerning the Italian hunter and gatherer communities. Their subsistence economy was essentially grounded upon the exploitation of high protein foods, either from terrestrial fauna resources or inland lacustrine or riverine species.     

Parameter estimation for discretely observed linear birth‐and‐death processes

Birth‐and‐death processes are widely used to model the development of biological populations. Although they are relatively simple models, their parameters can be challenging to estimate, as the likelihood can become numerically unstable when data arise from the most common sampling schemes, such as annual population censuses. A further difficulty arises when the discrete observations are not equi‐spaced, for example, when census data are unavailable for some years. We present two approaches to estimating the birth, death, and growth rates of a discretely observed linear birth‐and‐death process: via an embedded Galton‐Watson process and by maximizing a saddlepoint approximation to the likelihood. We study asymptotic properties of the estimators, compare them on numerical examples, and apply the methodology to data on monitored populations.