A machine learning tool for the diagnosis of SARS-CoV-2 infection from hemogram parameters.

Monocytes and neutrophils play key roles in the cytokine storm triggered by SARS-CoV-2 infection, which changes their conformation and function. These changes are detectable at the cellular and molecular level and may be different to what is observed in other respiratory infections. Here, we applied machine learning (ML) to develop and validate an algorithm to diagnose COVID-19 using blood parameters. In this retrospective single-center study, 49 hemogram parameters from 12,321 patients with clinical suspicion of COVID-19 and tested by RT-PCR (4239 positive and 8082 negative) were analysed. The dataset was randomly divided into training and validation sets. Blood cell parameters and patient age were used to construct the predictive model with the support vector machine (SVM) tool. The model constructed from the training set (5936 patients) achieved an accuracy for diagnosis of SARS-CoV-2 infection of 0.952 (95% CI: 0.875-0.892). Test sensitivity and specificity was 0.868 and 0.899, respectively, with a positive (PPV) and negative (NPV) predictive value of 0.896 and 0.872, respectively (prevalence 0.50). The validation set model (4964 patients) achieved an accuracy of 0.894 (95% CI: 0.883-0.903). Test sensitivity and specificity was 0.8922 and 0.8951, respectively, with a positive (PPV) and negative (NPV) predictive value of 0.817 and 0.94, respectively (prevalence 0.34). The area under the receiver operating characteristic curve was 0.952 for the algorithm performance. This algorithm may allow to rule out COVID-19 diagnosis with 94% of probability. This represents a great advance for early diagnostic orientation and guiding clinical decisions.

Comparing the effect of different sample conditions and spectral libraries on the prediction accuracy of soil properties from near- and mid-infrared spectra at the field-scale.

The prediction accuracy of soil properties by proximal soil sensing has made their application more practical. However, in order to gain sufficient accuracy, samples are typically air-dried and milled before spectral measurements are made. Calibration of the spectra is usually achieved by making wet chemistry measurements on a subset of the field samples and local regression models fitted to aid subsequent prediction. Both sample handling and wet chemistry can be labour and resource intensive. This study aims to quantify the uncertainty associated with soil property estimates from different methods to reduce effort of field-scale calibrations of soil spectra. We consider two approaches to reduce these expenses for predictions made from visible-near-infrared ((V)NIR), mid-infrared (MIR) spectra and their combination. First, we considered reducing the level of processing of the samples by comparing the effect of different sample conditions (in-situ, unprocessed, air-dried and milled). Second, we explored the use of existing spectral libraries to inform calibrations (based on milled samples from the UK National Soil Inventory) with and without 'spiking' the spectral libraries with a small subset of samples from the study fields. Prediction accuracy of soil organic carbon, pH, clay, available P and K for each of these approaches was evaluated on samples from agricultural fields in the UK. Available P and K could only be moderately predicted with the field-scale dataset where samples were milled. Therefore this study found no evidence to suggest that there is scope to reduce costs associated with sample processing or field-scale calibration for available P and K. However, the results showed that there is potential to reduce time and cost implications of using (V)NIR and MIR spectra to predict soil organic carbon, clay and pH. Compared to field-scale calibrations from milled samples, we found that reduced sample processing lowered the ratio of performance to inter-quartile range (RPIQ) between 0% and 76%. The use of spectral libraries reduced the RPIQ of predictions relative to field-scale calibrations from milled samples between 54% and 82% and the RPIQ was reduced between 29% and 70% for predictions when spectral libraries were spiked. The increase in uncertainty was specific to the combination of soil property and sensor analysed. We conclude that there is always a trade-off between prediction accuracy and the costs associated with soil sampling, sample processing and wet chemical analysis. Therefore the relative merits of each approach will depend on the specific case in question.

A loss function to evaluate agricultural decision-making under uncertainty: a case study of soil spectroscopy.

Modern sensor technologies can provide detailed information about soil variation which allows for more precise application of fertiliser to minimise environmental harm imposed by agriculture. However, growers should lose neither income nor yield from associated uncertainties of predicted nutrient concentrations and thus one must acknowledge and account for uncertainties. A framework is presented that accounts for the uncertainty and determines the cost-benefit of data on available phosphorus (P) and potassium (K) in the soil determined from sensors. For four fields, the uncertainty associated with variation in soil P and K predicted from sensors was determined. Using published fertiliser dose-yield response curves for a horticultural crop the effect of estimation errors from sensor data on expected financial losses was quantified. The expected losses from optimal precise application were compared with the losses expected from uniform fertiliser application (equivalent to little or no knowledge on soil variation). The asymmetry of the loss function meant that underestimation of P and K generally led to greater losses than the losses from overestimation. This study shows that substantial financial gains can be obtained from sensor-based precise application of P and K fertiliser, with savings of up to £121 ha-1 for P and up to £81 ha-1 for K, with concurrent environmental benefits due to a reduction of 4-17 kg ha-1 applied P fertiliser when compared with uniform application. Supplementary Information: The online version contains supplementary material available at 10.1007/s11119-022-09887-2.

Severe perinatal hemolytic disease due to anti-e.

Maternal antibody-mediated fetal red blood cell destruction secondary to non-D Rh system antibodies is a significant cause of hemolytic disease of the fetus and newborn. Here, we report a rare case of severe perinatal hemolytic disease associated with maternal antibody to the e antigen. In addition to severe anemia, the infant developed hyperbilirubinemia. Resolution of the infant's anemia and hyperbilirubinemia occurred after treatment with phototherapy, intravenous immunoglobulin, and transfusion.Maternal antibody-mediated fetal red blood cell destruction secondary to non-D Rh system antibodies is a significant cause of hemolytic disease of the fetus and newborn. Here, we report a rare case of severe perinatal hemolytic disease associated with maternal antibody to the e antigen. In addition to severe anemia, the infant developed hyperbilirubinemia. Resolution of the infant's anemia and hyperbilirubinemia occurred after treatment with phototherapy, intravenous immunoglobulin, and transfusion.

Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management.

How well could one predict the growth of a leafy crop from reflectance spectra from the soil and how might a grower manage the crop in the light of those predictions? Topsoil from two fields was sampled and analysed for various nutrients, particle-size distribution and organic carbon concentration. Crop measurements (lettuce diameter) were derived from aerial-imagery. Reflectance spectra were obtained in the laboratory from the soil in the near- and mid-infrared ranges, and these were used to predict crop performance by partial least squares regression (PLSR). Individual soil properties were also predicted from the spectra by PLSR. These estimated soil properties were used to predict lettuce diameter with a linear model (LM) and a linear mixed model (LMM): considering differences between lettuce varieties and the spatial correlation between data points. The PLSR predictions of the soil properties and lettuce diameter were close to observed values. Prediction of lettuce diameter from the estimated soil properties with the LMs gave somewhat poorer results than PLSR that used the soil spectra as predictor variables. Predictions from LMMs were more precise than those from the PLSR using soil spectra. All model predictions improved when the effects of variety were considered. Predictions from the reflectance spectra, via the estimation of soil properties, can enable growers to decide what treatments to apply to grow lettuce and how to vary their treatments within their fields to maximize the net profit from the crop.

[Cross-enterprise interoperability : Challenges and principles for technical implementation]. / Einrichtungsübergreifende Interoperabilität : Herausforderungen und Grundlagen für die technische Umsetzung.

Demographic change, the migration of medical professionals and economic constraints are leading to an increasing specialisation and concentration of resources in the healthcare sector. The digital mapping of cross-enterprise process chains between different medical care levels in turn requires digital networking and syntactical and semantical interoperability in information exchange. Cross-enterprise electronic patient records based on the Cross-Enterprise Document Sharing (XDS.b) integration profile defined by the Integrating the Healthcare Enterprise (IHE) initiative are the basis of the digital exchange of medical information between patients and service providers. Syntactical interoperability is ensured by the object definitions in the XDS Affinity domain and the Clinical Document Architecture (CDA) document format. Semantical interoperability is achieved by the use of standardized terminology and code systems. Terminology servers make it easy to deploy standard ontologies and translate proprietary code systems. New interoperability standards, e.g. based on Fast Healthcare Interoperability Resources (FHIR), are being developed to facilitate the exchange of structured medical information objects on mobile platforms in the future.

[Consent management and workflows for cross-sectoral patient records and teleconsultations]. / Consent Management und Workflows für intersektorale Patientenakten und Telekonsile.

Cross-enterprise electronic patient records are a key element in the design of interoperable medical care networks and process chains. However, the different requirements concerning type, performance and quality assurance of available communication services within the different healthcare sectors still require that the hospitals participate in various secure communication networks which have to be bridged for cross-sectoral communication. Cross-institutional pathways for telemedicine, however, can be mapped both within and across sectoral boundaries via automated process chains using the IHE (Integrating the Healthcare Enterprise) defined integration profile CrossEnterprise Document Sharing (XDS) and associated integration profiles. The provision of medical documents in a cross-institutional patient record outside of defined medical pathways requires differentiated authorization management. In this respect, consent documents according to the IHE APPC (Advanced Patient Privacy Consents) profile enable the documentation of the patient's consent, including information about planned authorized people, document types, period and type of document access allowed. Providing access control to medical documentation by the patients themselves is an essential part of the required focusing of medical services on patients. New interoperability standards optimized for use on mobile devices, such as FHIR (Fast Healthcare Interoperability Resources), will enable simplified delivery of patient-centered health records and other medical services on mobile platforms in the future.

Responses of monogenean species to variations in abiotic parameters in tilapiculture.

Fish farming is becoming an increasingly popular agricultural activity, and water quality in these environments is a major concern. Fish parasites, such as monogeneans, respond to changes in abiotic conditions, either with an increase or decrease in population. This study aimed to identify gill monogeneans and analyse their relationships with abiotic factors during the ontogenetic development of Nile tilapia over the fish culture cycle in Mato Grosso do Sul, Brazil. Fish were sampled monthly for eight months, and a total of 200 fish were collected. The physical and chemical water parameters were measured and correlated with the abundance of each monogenean species. Over the fish culture cycle, the physical and chemical parameters fluctuated, and the water quality decreased. The parasites found included Cichlidogyrus tilapiae, Cichlidogyrus thurstonae, Cichlidogyrus sclerosus, Cichlidogyrus halli and Scutogyrus longicornis. The abundances of all species showed significant differences during ontogenetic development (body size) and C. tilapiae, C. sclerosus, C. thurstonae and S. longicornis were correlated with changes in abiotic conditions. However, C. halli was not significantly correlated with any of the evaluated physical or chemical parameters. Understanding how different monogenean species respond to changes in the physical and chemical parameters of water during a production cycle can prevent peaks in abundance and subsequent sanitary problems.

Predictors of short- and long-term recurrence of suicidal behavior in borderline personality disorder.

OBJECTIVE: To evaluate the incidence of suicidal outcomes and risk factors for short- and long-term recurrence of suicidal behavior (SB) among high-risk borderline personality disorder (BPD) patients during a 24-month prospective follow-up period. METHODS: A multicenter prospective cohort study was designed to compare data obtained from 136 patients admitted to the emergency department for current suicidal ideation (SI) or a recent suicide attempt (SA). Subjects were clinically evaluated and monitored for a new SA or suicide. RESULTS: The incidence of a new SA was 25.63 events/100 persons-year, and one patient died by suicide. Child sexual abuse (CSA) was the only significant predictor throughout the complete follow-up period. The absence of prior psychiatric treatment predicts the recurrence of SB in the first 6 months of follow-up. Patient age, poor psychosocial functioning before hospitalization, age at first SA, and having multiple suicide attempts increased risk of SB recurrence at the long-term period (24th months). In addition, there was an interaction between CSA and poor psychosocial functioning that increased risk of SB. CONCLUSION: The risk of recurrence was higher during the first 6 months. Risk factors at 6 and 24 months vary. These findings are important for implementing suicide strategies.

Thermoluminescence emission on lead oxychloroborate glasses under UV exposure.

Glassy materials were prepared using two different systems: 50B2 O3 - (50 - x)PbO - xPbCl2, with x = 0, 2 and 5 in mol % (System BPCl-I) and 50BO1.5 - (50 - x)PbO - xPbCl2 with x = 0, 2, 5 and 7 in cationic % (System BPCl-II). Structural and optical characterization showed that PbCl when substituted for PbO changed the structure of the glass network by replacing nonbridging oxygens for chlorine ions. This substitution also caused a change in the number of defects responsible for thermoluminescence (TL) emission (electrons and hole trap centres). Thermoluminescence emissions were observed for the first time in lead oxychloroborate glasses after exposure to UV radiation. Sample BPCl-I-2 (x = 2 from System I) demonstrated better TL emission compared with other glass samples. One intense peak in the glow curve, centred at ~122°C followed by a shoulder at ~180°C, was highly sensitive to UV radiation. There were also good linear responses at dose range ~0.4 to ~2 J/cm2 for the first peak (low temperature) and ~0.4 to ~4 J/cm2 for the second peak (high temperature).

Differences between female suicidal patients with family history of suicide attempt and family history of completed suicide.

BACKGROUND: Family history of suicidal behavior and suicide are both risk factors for suicide. However, the effects of family history of suicide versus suicide attempts on patient suicidal behavior remain unclear. The aim of the present study was to understand if family history of suicide as compared to family history of suicide attempts or no family history of suicidal behavior evidences different associations with suicidal behavior among psychiatric patients. METHOD: Participants included 157 female patients between the ages of 18 and 65years admitted at the Dr. Braulio A. Moyano Neuropsychiatric Women's Hospital. RESULTS: Seventy-nine patients (50.3%) reported no family history of suicidal behavior (NFHSB), while 78 patients (49.7%) reported a family history of suicidal behavior. Specifically, 41 patients (26.1%) reported a family history of suicide attempt (FHSA) and 37 patients (23.6%) reported a family history of suicide (FHS). These groups showed significant differences between family history of psychopathology and number of previous suicide attempts. Patients with an FHSA were more likely to present with a greater number of previous suicide attempts as compared to patients with NFHSB and FHS. CONCLUSION: There is an association between the number of suicide attempts and family history of suicide attempts in female patients hospitalized for suicidal behavior.

A new era of ventricular assist device surgery: less invasive procedures.

As the number of patients suffering of congestive heart failure is rising worldwide, the use of mechanical circulatory support to treat these patients has also grown enormously, surpassing the number of annual heart transplants. Moreover latest generation of left ventricular assist devices (LVADs) is characterized by improved technologies. Moreover the size of new LVAD systems is considerably reduced when compared to older generation devices. Therefore, less invasive surgery is now possible for the implantation, explantation, and exchange of LVADs. Although experience with these new techniques is still limited, minimally invasive procedures are thought to improve surgical outcomes by declining the rates of operative complications such as bleeding or wound infection. The miniaturization of LVADs will continue, so that minimally invasive techniques will be used for most LVAD-related procedures in the future. In this article, we summarize and describe minimally invasive surgical techniques, with a focus on the most common LVAD systems in adults.

Influence of implant strategy on the transition from temporary left ventricular assist device to durable mechanical circulatory support.

OBJECTIVES: Bridging from a temporary microaxial left ventricular assist device (tLVAD) to a durable left ventricular assist device (dLVAD) is playing an increasing role in the treatment of terminally ill patients with heart failure. Scant data exist about the best implant strategy. The goal of this study was to analyse differences in the dLVAD implant technique and effects on patient outcomes. METHODS: Data from 341 patients (19 European centres) who underwent a bridge-to-bridge implant from tLVAD to dLVAD between January 2017 and October 2022 were retrospectively analysed. The outcomes of the different implant techniques with the patient on cardiopulmonary bypass, extracorporeal life support or tLVAD were compared. RESULTS: A durable LVAD implant was performed employing cardiopulmonary bypass in 70% of cases (n = 238, group 1), extracorporeal life support in 11% (n = 38, group 2) and tLVAD in 19% (n = 65, group 3). Baseline characteristics showed no significant differences in age (P = 0.140), body mass index (P = 0.388), creatinine level (P = 0.659), the Model for End-Stage Liver Disease (MELD) score (P = 0.190) and rate of dialysis (P = 0.110). Group 3 had significantly fewer patients with preoperatively invasive ventilation and cardiopulmonary resuscitation before the tLVAD was implanted (P = 0.009 and P < 0.001 respectively). Concomitant procedures were performed more often in groups 1 and 2 compared to group 3 (24%, 37% and 5%, respectively, P < 0.001). The 30-day mortality data showed significantly better survival after an inverse probability of treatment weighting in group 3, but the 1-year mortality showed no significant differences among the groups (P = 0.012 and 0.581, respectively). Postoperative complications like the rate of right ventricular assist device (RVAD) implants or re-thoracotomy due to bleeding, postoperative respiratory failure and renal replacement therapy showed no significant differences among the groups. Freedom from the first adverse event like stroke, driveline infection or pump thrombosis during follow-up was not significantly different among the groups. Postoperative blood transfusions within 24 h were significantly higher in groups 1 and 2 compared to surgery on tLVAD support (P < 0.001 and P = 0.003, respectively). CONCLUSIONS: In our analysis, the transition from tLVAD to dLVAD without further circulatory support did not show a difference in postoperative long-term survival, but a better 30-day survival was reported. The implant using only tLVAD showed a reduction in postoperative transfusion rates, without increasing the risk of postoperative stroke or pump thrombosis. In this small cohort study, our data support the hypothesis that a dLVAD implant on a tLVAD is a safe and feasible technique in selected patients.

Theoretical insights into the adsorption of neutral, radical and anionic thiophenols on gold(111).

The interaction of thiol and thiolate containing molecules with gold (S-Au) has gained increasing interest because of its applications in molecular electronic devices and catalysis. In this context, the enhanced conductivity of thiophenol compared to alkanethiol represents an opportunity to develop more sensitive and selective gold-based devices by incorporating molecules with the aryl-thiol moiety into their structures. As has been proposed earlier, the thiol moiety is deprotonated after binding to gold, hence, we present here a comparative study of the S-Au bond strength between several neutral and deprotonated aromatic-sulfur systems in their anionic and radical forms with a detailed description of the nature of this interaction. The study was performed by means of computational chemistry methods, using a cluster of 42 Au atoms as a model of the Au(111) surface that allowed us to provide new chemical insights to control the S-Au interface interaction strength. Our results revealed that the thiophenols-gold interaction is mainly dispersive where the interaction energies range between 31 and 43 kcal mol(-1). The radical and anionic thiophenolates-gold interaction increases due to a strong charge transfer character, depicting interaction energies in the range of 50 to 55 kcal mol(-1) and 62 to 92 kcal mol(-1), respectively. These results suggest that for the anionic thiophenolate the binding strength can be tailored according to the electron-donor capabilities of the ligand which in turn can be finely tuned by several substituents. Our results are of possible impact for the design of new devices.

Forest buffer-strips mitigate the negative impact of oil palm plantations on stream communities.

The global area cultivated with oil palm has doubled in the past two decades, causing deforestation, land-use change, freshwater pollution, and species loss in tropical ecosystems worldwide. Despite the palm-oil industry been linked to severe deterioration of freshwater ecosystems, most studies have focused on terrestrial environments, while freshwaters have been significantly less studied. We evaluated these impacts by contrasting freshwater macroinvertebrate communities and habitat conditions in 19 streams from primary forests (7), grazing lands (6), and oil palm plantations (6). In each stream, we measured environmental characteristics, e.g., habitat composition, canopy cover, substrate, water temperature, and water quality; and we identified and quantified the assemblage of macroinvertebrates. Streams in oil palm plantations lacking riparian forest strips showed warmer and more variable temperatures, higher turbidity, lower silica content, and poorer macroinvertebrate taxon richness than primary forests. Grazing lands showed higher conductivity and temperature, and lower dissolved oxygen and macroinvertebrate taxon richness than primary forests. In contrast, streams in oil palm plantations that conserved a riparian forest, showed a substrate composition, temperature, and canopy cover more similar to the ones in primary forests. These habitat improvements by riparian forests in the plantations increased macroinvertebrate taxon richness and maintained a community resembling more the one in primary forests. Therefore, the conversion of grazing lands (instead of primary forests) to oil palm plantations can increase freshwater taxon richness only if riparian native forests are safeguarded.

Unveiling the tartrazine binding mode with ds-DNA by UV-visible spectroscopy, electrochemical, and QM/MM methods.

Here, we studied the interaction between the food colorant tartrazine (TZ) and double stranded DNA (dsDNA), using spectroscopic, electrochemical, and computational methods such as QM/MM combined with TD-DFT. Despite the UV-vis spectroscopy is widely used to study the interaction between molecules, for the case of TZ there are discrepancies in the analyses presented in the literature available, presenting both hyperchromic and hypochromic effects and consequently different rationalizations for their results. Herein we propose the combination of UV-vis experiments with the design of high-level computational models capable of reproducing the experimental behavior to finally define the proper binding mode at the molecular scale together with the rationalization of the experimental optical response due to the complex formation. To complement the UV-vis experiments, we propose the use of electrochemical measurements, to support the results obtained through UV-vis spectroscopy, as it has been successfully used for the determination of interaction modes between small molecules and biomolecules in any condition. Our UV-vis spectroscopy experiments showed only a hypochromic effect of the absorption spectra of TZ after interaction with DNA, indicative of TZ being deeply buried in the DNA structure. The effect of ionic strength in the experimental procedures led to the dissociation of TZ, thus indicating that the interaction mode was groove binding. On the other hand, the electrochemical studies showed an irreversible reduction peak of TZ, which after the interaction with DNA exhibited a positive shift in potential that can be attributed to groove binding. The binding constant for TZ-DNA was calculated as 4.45x104M-1 (UV-vis) and 5.75x104M-1 (electrochemistry), in line with other groove binder azo dyes. Finally, through the QM/MM calculations we found that the minor-groove binding mode interacting in zones rich in adenine and thymine was the model best suited to reproduce the experimental UV-vis response.

Testosterone stimulates progesterone production and STAR, P450 cholesterol side-chain cleavage and LH receptor mRNAs expression in hen (Gallus domesticus) granulosa cells.

The chicken ovary is organized into a hierarchy of yellow yolky follicles that ovulate on successive days. Active or passive immunization of laying hens against testosterone blocks ovulation without affecting follicle development. Testosterone may play a role in pre-ovulatory follicle maturation by stimulating granulosa progesterone production. We assessed whether this stimulus is dose-related and depends on the maturity of the donor follicle, and if it does so by stimulating granulosa cell STAR, P450 cholesterol side-chain cleavage (P450scc), and LH receptor (LHCGR) mRNAs expression. Progesterone production by granulosa cells from F1, F3, and F4 follicles, cultured for 3 h without testosterone was greater in cells collected 11-14 h than 1-4 h after ovulation. These differences in progesterone production were less pronounced after granulosa cells had been cultured for 24 h. Culture of granulosa cells for 3 or 24 h with testosterone (1-100 ng/ml) stimulated progesterone production in cells collected from F4, F3, or F1 follicles 1-4, or 11-14 h after ovulation. Testosterone (0-4000 ng/ml) alone or in combination with LH (0-100 ng/ml) increased progesterone production by F1 granulosa cells, collected 1-4 and 11-14 h after ovulation and cultured for 3 h. Finally, testosterone (10 or 100 ng/ml) increased STAR, P450scc, and LHCGR mRNAs, when added to 3 h cultures of F1 granulosa cells. In conclusion, testosterone stimulates granulosa cell progesterone production in hen pre-ovulatory hierarchical follicles irrespective of maturational state, acting alone or additively with LH. We propose that testosterone promotes granulosa cell maturation to facilitate the pre-ovulatory release of LH.

[Heart failure: ventricular assist devices and cardiac transplantation : A review of current surgical innovations]. / Kardiales Pumpversagen: Herzunterstützungssysteme und Herztransplantation : Eine Übersicht aktueller chirurgischer Innovationen.

BACKGROUND: End-stage heart failure is one of the leading causes of death in Germany. Cardiac transplantation is still considered the gold standard for the treatment of terminal heart failure; however, there is a discrepancy between patients on the waiting list and yearly performed transplantations. As an alternative, ventricular assist devices have achieved a high level of importance but treatment is still associated with challenges. Novel systems as well as innovative surgical techniques contribute to improving the safety and effectiveness of the treatment. OBJECTIVE: To generate an overview of current surgical innovations in cardiac transplantation and mechanical circulatory support. MATERIAL AND METHODS: A Medline search was conducted regarding innovations in cardiac transplantation and mechanical circulatory support. RESULTS AND CONCLUSION: Not only the number of yearly performed cardiac transplantations has changed but also recipient profiles. While in the pioneering era of transplantation the typical candidate was young, not previously operated on and with lower levels of comorbidities, today's patients are significantly older, have been fitted with ventricular assist devices and have increased operative risk profiles. Modern methods of organ preservation enable longer transportation and operation times as well as an improved assessment of graft function and perspectives for graft optimization in the future. In the area of ventricular assist devices, advances in the reduction of the stroke rate seem to have been achieved by the latest generation devices. From a surgical perspective, less invasive surgical techniques with promising initial results have been established at numerous centers.

Evaluation of six pesticides leaching indexes using field data of herbicide application in Casablanca Valley, Chile.

A field study was performed to evaluate the accuracy of six pesticide screening leaching indexes for herbicide movement. Adsorption, dissipation and soil movement were studied in a vineyard in a sandy loam soil during 2005 season. Simazine, diuron, pendimethalin, oxyfluorfen and flumioxazin were applied to bare soil at rates commonly used, and their soil concentrations throughout soil profile were determined at 0, 10, 20, 40 and 90 days after application (DAA). Herbicides were subjected to two pluviometric regimens, natural field condition and modified conditions (plus natural rainfall 180 mm). Leaching indexes utilized were: Briggs's Rf, Hamaker's Rf, LEACH, LPI, GUS and LIX. Simazine reached 120 cm, diuron 90 cm, flumioxazin 30 cm soil depth respectively. Pendimethalin and oxyfluorfen were retained up to 5 cm. None of the herbicides leaching was affected by rainfall regimen. Only flumioxazin field dissipation was clearly affected by pluviometric condition. The best representation of the herbicide soil depth movement and leaching below 15 cm soil depth were: Hamaker's Rf < Briggs's Rf < GUS < LPI, < LEACH < LIX. Field results showed a good correlation between herbicides K(d) and their soil depth movement and mass leached below 15 cm soil depth.

[Bacterial diversity in a fluidized bed bioreactor (FBR) treating gasoline-contaminated groundwater]. / Diversidad bacteriana en un biorreactor de lecho fluidificado durante el tratamiento de agua contaminada con nafta.

Bacterial diversity in a fluidized bed bioreactor (FBR) treating gasoline-contaminated groundwater. The main objective of this research project was to determine the bacterial diversity during the process of bioremediation of water contaminated with gasoline in a fluidized bed reactor at Mayagüez, PR. Isolation and characterization of bacterial populations from the bioremediation system was performed on R2A medium. Morphological tests included cellular and colonial shape and reaction to Gram coloration. Physiological properties were determined by using carbon utilization profiles (Biolog) and by the ability of axenic cultures to use gasoline as the sole carbon source. Molecular characterization was performed by BOX-PCR and 16S rDNA sequence analysis (ARDRA). From a total of 162 distinctive isolates, 75% were gram-negative bacilli, 19% gram-positive bacilli, 5% gram-negative cocci and 1% gram-positive cocci. The 162 axenic cultures corresponded to 90 different genetic groups; 53% of which included strains with growth in gasoline as sole carbon source. The 86 strains capable of growing in gasoline corresponded to 52 different amplification patterns in BOX-PCR; which were not metabolically related (Biolog system). The high degree of microbial diversity in the FBR allowed efficient and stable hydrocarbon removal throughout the operation of the system.