Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients

Brain-Computer Interface (BCI) systems for motor rehabilitation after stroke have proven their efficacy to enhance upper limb motor recovery by reinforcing motor related brain activity. Hybrid BCIs (h-BCIs) exploit both central and peripheral activation and are frequently used in assistive BCIs to improve classification performances. However, in a rehabilitative context, brain and muscular features should be extracted to promote a favorable motor outcome, reinforcing not only the volitional control in the central motor system, but also the effective projection of motor commands to target muscles, i.e., central-to-peripheral communication. For this reason, we considered cortico-muscular coupling (CMC) as a feature for a h-BCI devoted to post-stroke upper limb motor rehabilitation. In this study, we performed a pseudo-online analysis on 13 healthy participants (CTRL) and 12 stroke patients (EXP) during executed (CTRL, EXP unaffected arm) and attempted (EXP affected arm) hand grasping and extension to optimize the translation of CMC computation and CMC-based movement detection from offline to online. Results showed that updating the CMC computation every 125 ms (shift of the sliding window) and accumulating two predictions before a final classification decision were the best trade-off between accuracy and speed in movement classification, independently from the movement type. The pseudo-online analysis on stroke participants revealed that both attempted and executed grasping/extension can be classified through a CMC-based movement detection with high performances in terms of classification speed (mean delay between movement detection and EMG onset around 580 ms) and accuracy (hit rate around 85%). The results obtained by means of this analysis will ground the design of a novel non-invasive h-BCI in which the control feature is derived from a combined EEG and EMG connectivity pattern estimated during upper limb movement attempts

May sediments affect the inhibiting properties of NaCl on CH4 and CO2 hydrates formation? an experimental report.

The equilibria of methane and carbon dioxide clathrate hydrates were measured in presence of a pure-quartz porous sand, with and without NaCl. Two different salt concentrations were tested: 0.030 and 0.037 wt%. Results were compared with phase equilibrium data already present in literature for these species. Despite salt, the porous medium was found to promote the process, mainly for the increased surface/volume ratio and for the improved heat transfer. In presence of salt, sand affected the process differently as a function of temperature: at values higher than 3 – 5 °C, it promoted the process, while for values lower than this range, but still greater than the ice-point, it acted as an inhibitor. However, these results can be considered true only for temperatures above the ice point. Due to similarity of ice water with clathrate hydrates, Raman microscale measurements were performed to gather information about the influence of sediments, salt, and temperature on OH-stretching vibrations of water. The obtained results allowed to clarify how the addition of NaCl, and or sediments to liquid water, under different temperature conditions (15 °C and −15 °C), influenced the water hydrogen bonds. Specifically, the changes of OH-stretching vibrations, when correlated with the NaCl concentrations, demonstrated that the presence of sediments partially inhibited the salt effects in the ice water probably due to hydrophilic interactions with the silanol groups of sediments. SEM measurements showed morphological information on sediments and on ice in different experimental conditions

Thermodynamic assessment and microscale Raman spectroscopy of binary CO2/CH4 hydrates produced during replacement applications in natural reservoirs

The present research deals with the micro – scale characterization of sI hydrates containing a binary mixture of methane and carbon dioxide. The application of replacement strategies in natural hydrate reservoirs, always leads to the formation of “mixed” hydrates, whose mechanical and chemical properties are different from those of pure CH4 and CO2 hydrates. As a function of the technique used for the process and due to the variability of the systems, a wide range of different compositions and morphologies can be obtained and the current literature must be expanded, in order to achieve a wide and accurate experimental database of CO2/CH4 hydrate properties. In this work, binary CO2/CH4 hydrates binary CO2/CH4 hydrates were produced in a small – scale reactor and then supercooled, in order to favour their extraction from the reactor and their stability at environmental conditions for a certain period of time. The gas hydrates, prepared with CO2 hydrates of pure water and with CH4 and CO2 mixtures, also in the presence of specific sands, were ex situ analysed by the use Raman-spectroscopy that confirmed the gas uptake in the hydrate structures by identification of the fingerprint of CH4 and CO2 occupancy in the hydrates. The characteristic of water inside the gas hydrates and the interaction between the host molecules and the lattice of water molecules was clarified. The different gas hydrates, analysed by Field Emission Scanning Electron Microscopy instrument equipped with “Coolstage head” under high vacuum condition, differed in morphology and surface features. The analysis of water Raman spectra of the different GHs permitted to describe the relation between symmetric and asymmetric OHs bands, but also provided information about the characteristics of water inside the different GHs, showing that the least ordered water structure was that of GHs containing sand, while the most ordered one was present on binary CO2/CH4 hydrates

Language modulation by hypnotizability

During upright stance that is an attention consuming task, subjects with high (Highs) hypnotic susceptibility have shown a similar ability at guided visual imagery, but a greater ability at somestetic imagery than individuals with low hypnotizability (Lows). Aim of the study was to assess whether any sensory modality preferences can be observed in the language of Highs and Lows

Thromboxane inhibition improves renal perfusion and excretory function in severe congestive heart failure

AbstractObjectivesThe aim of this study was to evaluate whether thromboxane inhibition can favorably affect renal perfusion and clinical conditions in patients affected by severe heart failure.BackgroundThe renal formation of the vasoconstrictor thromboxane A2(TxA2) is increased during cardiac failure.MethodsBy oral administration of picotamide (a renal TxA2synthase and TxA2/prostaglandin H2receptor inhibitor), we blocked renal TxA2. Fourteen patients in New York Heart Association functional class IV were studied according to a randomized, double-blinded, cross-over design. Each of the two eight-day periods of testing was preceded by a three-day period during which certain vasoactive medications were stopped.ResultsDaily 24-h total urinary thromboxane B2(TxB2), the stable metabolite of TxA2, dropped at the end of picotamide treatment (p < 0.01 vs. baseline). Compared with placebo, effective renal plasma flow and the glomerular filtration rate increased (p < 0.01 and p < 0.05, respectively), thus leading to a significant decrease in the filtration fraction (p < 0.01). Renal vascular resistance decreased consistently (p < 0.01). In all patients, picotamide treatment was associated with an increase in diuresis and natriuresis (p < 0.001 vs. baseline). Plasma creatinine decreased (p < 0.05 vs. baseline). Patients also showed improvement in several clinical parameters, including a significant decrease in both pulmonary and venous pressure (p < 0.01 vs. baseline).ConclusionsThese results indicate that renal thromboxane formation plays an important role in renal vascular resistance in patients with severe heart failure, such as those described in the present study. Inhibition of TxA2improves renal hemodynamics and kidney function and favorably affects indexes of cardiac performance

PENGARUH TAX AMNESTY, PEMAHAMAN AKUNTANSI PERPAJAKAN DAN PELAYANAN FISKUS TERHADAP KEPATUHAN WAJIB PAJAK (Survei pada petugas pajak di Kantor Pelayanan Pajak Cibeunying Bandung)

ABSTRAK Penelitian ini bertujuan untuk meneliti secara empiris mengenai pengaruh tax amnesty, pemahaman akuntansi perpajakan dan pelayanan fiskus terhadap kepatuhan wajib pajak pada Kantor Pajak Pratama Bandung Cibeunying. Penelitian ini merupakan penelitian deskriptip kuantitatif. Teknik sampling yang digunakan dalam penelitian ini adalah teknik sampling non-probability sampling. Populasi dari penelitian ini yaitu account representative. Sampel yang diperoleh yaitu sebanyak 30 responden. Teknik analisa yang digunakan adalah uji parsial. Hasil penelitian menunjukkan bahwa tax amnesty, berpengaruh dengan kontribusi sebesar 26,5% terhadap kepatuhan wajib pajak, pemahaman akuntansi perpajakan berpengaruh signifikan dengan kontribusi 31,1% terhadap kepatuhan wajib pajak dan pelayanan fiskus berpengaruh signifikan dengan kontribusi 21,5% terhadap kepatuhan wajib pajak. Kata kunci: Tax Amnesty, Pemahaman Akuntansi Perpajakan, Pelayanan Fiskus, Kepatuhan Wajib Pajak

Architecture of nests of Acromyrmex (Moellerius) balzani (Formicidae: Myrmicini: Attini) in pasture

Leaf-cutter ants Acromyrmex (M.) balzani (Emery), specialized in the cutting of gramineae are very common in pastures and agricultural crops of the South West of Bahia, with high density of nests. The objective of this work was to study aspects of nest architecture of A. balzani, located in pastures in the Southwest of Bahia, in order to search for the improvement of pest control strategies. Ten nests located in the cities of Vitoria da Conquista, Itapetinga, Tremedal and Itambé, BA were selected for study. Externally, the area, the volume of loose soil and the distance between the mount of loose soil and the tower were evaluated. The excavation was complete, opening gutters and cuttings in the soil profile. Afterwards, the measure of the height, width, depth, and the chambers height, regarding to the soil surface and to the coordinates of an orthogonal axis previously established were performed. The area and volume varied from 325 cm2 to 1880 cm2 and from 0.15 L to 5.88 L respectively. The distances between the loose soil mount and the tower varied from 2 to 37 cm. The total number of chambers per nest varied from 3 to 14, predominantly of chambers containing fungus, adult ants, and young forms. The higher concentration of chambers was at the first 30 cm and near the soil mount, but not under its projection.Hormigas cortadoras Acromyrmex (M.) balzani (Emery), especializadas en el corte de gramíneas son de ocurrencia común en los pastos y cultivos en el suroeste de lo Estado de Bahia, alcanzando una alta densidad de nidos. El objetivo de esta investigación fue estudiar la arquitectura de los nidos de A. balzani, en pastos ubicados en la región suroeste de Bahía, en busca de subvenciones para la mejora de las estrategias de control de esta plaga. Diez nidos ubicados en las ciudades de Vitoria da Conquista Itapetinga, Tremedal y Itambé - BA, fueron seleccionados para el estudio. Externamente, se midió el área y el volumen de tierra suelta y la distancia entre el cúmulo de tierra suelta y la torre. La excavación fue completa, mediante la apertura de zanjas y cortes en el perfil del suelo. Se procedió la medición de la anchura, altura, longitud de las cámaras, la profundidad en relación con la superficie del suelo y la ubicación de las coordenadas de un eje ortogonal predeterminado. El área y el volumen de tierra suelta van desde 325 cm2 a 1880 cm2 y de 0,1 L a 5,9 L, respectivamente. Las distancias entre el cúmulo de tierra suelta y la torre varían de 2 a 37 cm. El número total de cámaras por nido varió de 3 a 14, con un predominio de cámaras conteniendo hongos, hormigas adultas y formas juveniles. La mayor concentración de cámaras ha ocurrido en los primeros 30 cm y en las cercanías de los cúmulos de tierra suelta, pero no en su proyección.Formigas cortadeiras Acromyrmex (M.) balzani (Emery), especializadas no corte de gramíneas, são de ocorrência comum em pastagens e cultivos agrícolas da região Sudoeste da Bahia, atingindo altas densidades de ninhos. O objetivo deste trabalho foi estudar aspectos da arquitetura de ninhos de A. balzani, localizados em pastagens da Região Sudoeste da Bahia, buscando-se subsídios para o aperfeiçoamento de estratégias de controle da praga. Dez ninhos localizados nos municípios de Vitória da Conquista, Itapetinga, Tremedal e Itambé, BA, foram selecionados para os estudos. Externamente, foram medidos a área e o volume de terra solta e a distância entre o monte de terra solta e a torre. A escavação foi completa, abrindo-se valetas e efetuando-se cortes no perfil do solo. Procedeu-se à medição da largura, altura, comprimento das câmaras, profundidade em relação à superfície do solo e localização nas coordenadas de um eixo ortogonal previamente estabelecido. A área e volume de terra solta variaram de 325 cm2 a 1880 cm2 e de 0,1 L a 5,9 L, respectivamente. As distâncias entre o monte de terra solta e a torre variaram de 2 a 37 cm. O número total de câmaras por ninho variou de 3 a 14, com predominância de câmaras contendo fungo, formigas adultas e formas jovens. A maior concentração de câmaras ocorreu nos primeiros 30 cm e nas proximidades do monte de terra solta, mas não sob sua projeção

Effectiveness of Radiomic ZOT Features in the Automated Discrimination of Oncocytoma from Clear Cell Renal Cancer

Background: Benign renal tumors, such as renal oncocytoma (RO), can be erroneously diagnosed as malignant renal cell carcinomas (RCC), because of their similar imaging features. Computer-aided systems leveraging radiomic features can be used to better discriminate benign renal tumors from the malignant ones. The purpose of this work was to build a machine learning model to distinguish RO from clear cell RCC (ccRCC). Method: We collected CT images of 77 patients, with 30 cases of RO (39%) and 47 cases of ccRCC (61%). Radiomic features were extracted both from the tumor volumes identified by the clinicians and from the tumor’s zone of transition (ZOT). We used a genetic algorithm to perform feature selection, identifying the most descriptive set of features for the tumor classification. We built a decision tree classifier to distinguish between ROs and ccRCCs. We proposed two versions of the pipeline: in the first one, the feature selection was performed before the splitting of the data, while in the second one, the feature selection was performed after, i.e., on the training data only. We evaluated the efficiency of the two pipelines in cancer classification. Results: The ZOT features were found to be the most predictive by the genetic algorithm. The pipeline with the feature selection performed on the whole dataset obtained an average ROC AUC score of 0.87 ± 0.09. The second pipeline, in which the feature selection was performed on the training data only, obtained an average ROC AUC score of 0.62 ± 0.17. Conclusions: The obtained results confirm the efficiency of ZOT radiomic features in capturing the renal tumor characteristics. We showed that there is a significant difference in the performances of the two proposed pipelines, highlighting how some already published radiomic analyses could be too optimistic about the real generalization capabilities of the models

Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer

Simple Summary Colorectal cancer is the second most malignant tumor per number of deaths after lung cancer and the third per number of new cases after breast and lung cancer. The correct and rapid identification (i.e., segmentation of the cancer regions) is a fundamental task for correct patient diagnosis. In this study, we propose a novel automated pipeline for the segmentation of MRI scans of patients with LARC in order to predict the response to nCRT using radiomic features. This study involved the retrospective analysis of T-2-weighted MRI scans of 43 patients affected by LARC. The segmentation of tumor areas was on par or better than the state-of-the-art results, but required smaller sample sizes. The analysis of radiomic features allowed us to predict the TRG score, which agreed with the state-of-the-art results. Background: Rectal cancer is a malignant neoplasm of the large intestine resulting from the uncontrolled proliferation of the rectal tract. Predicting the pathologic response of neoadjuvant chemoradiotherapy at an MRI primary staging scan in patients affected by locally advanced rectal cancer (LARC) could lead to significant improvement in the survival and quality of life of the patients. In this study, the possibility of automatizing this estimation from a primary staging MRI scan, using a fully automated artificial intelligence-based model for the segmentation and consequent characterization of the tumor areas using radiomic features was evaluated. The TRG score was used to evaluate the clinical outcome. Methods: Forty-three patients under treatment in the IRCCS Sant'Orsola-Malpighi Polyclinic were retrospectively selected for the study; a U-Net model was trained for the automated segmentation of the tumor areas; the radiomic features were collected and used to predict the tumor regression grade (TRG) score. Results: The segmentation of tumor areas outperformed the state-of-the-art results in terms of the Dice score coefficient or was comparable to them but with the advantage of considering mucinous cases. Analysis of the radiomic features extracted from the lesion areas allowed us to predict the TRG score, with the results agreeing with the state-of-the-art results. Conclusions: The results obtained regarding TRG prediction using the proposed fully automated pipeline prove its possible usage as a viable decision support system for radiologists in clinical practice