Metal Substitution as the Method of Modifying Electronic Structure of Metal-Organic Frameworks.

Targeted modification of electronic structure is an important step in the optimization of metal-organic frameworks (MOFs) for photovoltaic, sensing, and photocatalytic applications. The key parameters to be controlled include the band gap, the absolute energy position of band edges, the excited state charge separation, and degree of hybridization between metal and ligand sites. Partial metal replacement, or metal doping, within secondary building units is a promising, yet relatively unexplored route to modulate these properties in MOFs. Therefore, in the present study, a general method for selecting metal dopant is worked out in theory and validated by experiment, retaining MIL-125 and UiO-66 as the model systems. Metal mixing enables targeted optimization of key electronic structure parameters. This method is applicable to any MOF architecture and can serve as a roadmap for future synthesis of MOFs with predefined properties

Myoclonus-dystonia : distinctive motor and non-motor phenotype from other dystonia syndromes

Background: myoclonus-dystonia (M-D) due to a pathogenic variant of SGCE is an autosomal dominant inherited movement disorder. Apart from motor symptoms, psychiatric disorders are highly prevalent in patients with MD. Previous studies suggest, but never tested directly, that the type of psychiatric disorder differs between dystonia syndromes, probably related to disease specific pathology. Little is known about other non-motor symptoms (NMS) in M.D. Here, we systematically study NMS in M-D in direct comparison to other types of dystonia and healthy controls. Methods: Standardized questionnaires were used to assess type and severity of psychiatric co-morbidity, sleep problems, fatigue and quality of life. Results of M-D patients with a pathogenic variant of SGCE were compared to results of idiopathic cervical dystonia (CD) patients, dopa-responsive dystonia (DRD) patients with a pathogenic variant of GCH1 and controls. Results: We included 164 participants: 41 M-D, 51 CD, 19 DRD patients, 53 controls. Dystonia patients (M-D, CD and DRD) had an increased prevalence of psychiatric disorders compared to controls (56-74% vs. 29%). In M-D we found a significantly increased prevalence of obsessive-compulsive disorder (OCD) and psychosis compared to CD and DRD. All dystonia patients had more sleep problems (49-68% vs. 36%) and fatigue (42-73% vs. 15%) than controls. Compared to other dystonia subtypes, M-D patients reported less excessive daytime sleepiness and fatigue. Conclusion: Psychiatric comorbidity is frequent in all dystonia types, but OCD and psychosis are more common in M-D patients. Further research is necessary to elucidate underlying pathways

Adición de plásticos reciclados para determinación de las propiedades de concreto F'C=210 kg/cm2, Barranca, Lima, 2023

Actualmente, la contaminación ambiental es uno de los mayores riesgos en todo el mundo siendo el plástico PET uno de los principales componentes de estos residuos. El propósito del estudio es determinar y/o comprobar la consecuencia que causa el plástico reciclado agregado en la preparación de concreto y compararlo con uno convencional. Mediante una metodología tipo aplicada, se consideró una población y muestra de 36 probetas, con diseño cuasi experimental y enfoque cuantitativo. Los resultados conseguidos determinan una reducción de la trabajabilidad (slump) en cuanto se incrementa el porcentaje de plástico reciclado PET al diseño de mezcla. De la misma manera, se encuentra una reducción de resistencia a la compresión, resultando el patrón de 334 kg/cm2; y las muestras adicionadas con plástico reciclado al 0.5 %, 1 % y1.5 % son de 284.67 kg/cm2, 294 kg/cm2 y 283.67 kg/cm2, respectivamente. En consecuencia, el módulo de elasticidad de concreto y plástico reciclado añadido (PET) al 0.5%, 1.0% y 1.5% poseen menor capacidad de deformación unitaria al ser sometidas a presión, comparando con la mezcla patrón. Como conclusión, la adición del plástico reciclado con porcentajes considerados influye en los indicadores del concreto

Association Between Autozygosity and Major Depression: Stratification Due to Religious Assortment

The effects of inbreeding on the health of offspring can be studied by measuring genome-wide autozygosity as the proportion of the genome in runs of homozygosity (Froh) and relate Froh to outcomes such as psychiatric phenotypes. To successfully conduct these studies, the main patterns of variation for genome-wide autozygosity between and within populations should be well understood and accounted for. Within population variation was investigated in the Dutch population by comparing autozygosity between religious and non-religious groups. The Netherlands have a history of societal segregation and assortment based on religious affiliation, which may have increased parental relatedness within religious groups. Religion has been associated with several psychiatric phenotypes, such as major depressive disorder (MDD). We investigated whether there is an association between autozygosity and MDD, and the extent to which this association can be explained by religious affiliation. All Froh analyses included adjustment for ancestry-informative principal components (PCs) and geographic factors

Psychological treatment of depression in primary care: a meta-analysis

Abstract: Background Although most depressive disorders are treated in primary care and several studies have examined the effects of psychological treatment in primary care, hardly any meta-analytic research has been conducted in which the results of these studies are integrated. Aim To integrate the results of randomised controlled trials of psychological treatment of depression in adults in primary care, and to compare these results to psychological treatments in other settings. Design of study A meta-analysis of studies examining the effects of psychological treatments of adult depression in primary care. Setting Primary care. Method An existing database of studies on psychological treatments of adult depression that was built on systematic searches in PubMed, PsychINFO, EMBASE, and Dissertation Abstracts International was used. Randomised trials were included in which the effects of psychological treatments on adult primary care patients with depression were compared to a control condition. Results In the 15 included studies, the standardised mean effect size of psychological treatment versus control groups was 0.31 (95% CI = 0.17 to 0.45), which corresponds with a numbers-needed-to-treat (NNT) of 5.75. Studies in which patients were referred by their GP for treatment had significantly higher effect sizes (d = 0.43; NNT = 4.20) than studies in which patients were recruited through systematic screening (d = 0.13, not significantly different from zero; NNT = 13.51). Conclusions Although the number of studies was relatively low and the quality varied, psychological treatment of depression was found to be effective in primary care, especially when GPs refer patients with depression for treatment

Raptor Interactions with Wind Energy: Case Studies from Around the World

The global potential for wind power generation is vast, and the number of installations is increasing rapidly. We review case studies from around the world of the effects on raptors of wind-energy development. Collision mortality, displacement, and habitat loss have the potential to cause population-level effects, especially for species that are rare or endangered. The impact on raptors has much to do with their behavior, so careful siting of wind-energy developments to avoid areas suited to raptor breeding, foraging, or migration would reduce these effects. At established wind farms that already conflict with raptors, reduction of fatalities may be feasible by curtailment of turbines as raptors approach, and offset through mitigation of other human causes of mortality such as electrocution and poisoning, provided the relative effects can be quantified. Measurement of raptor mortality at wind farms is the subject of intense effort and study, especially where mitigation is required by law, with novel statistical approaches recently made available to improve the notoriously difficult-to-estimate mortality rates of rare and hard-to-detect species. Global standards for wind farm placement, monitoring, and effects mitigation would be a valuable contribution to raptor conservation worldwide.publishedVersio

Vital signs prediction and early warning score calculation based on continuous monitoring of hospitalised patients using wearable technology

In this prospective, interventional, international study, we investigate continuous monitoring of hospitalised patients’ vital signs using wearable technology as a basis for real-time early warning scores (EWS) estimation and vital signs time-series prediction. The collected continuous monitored vital signs are heart rate, blood pressure, respiration rate, and oxygen saturation of a heterogeneous patient population hospitalised in cardiology, postsurgical, and dialysis wards. Two aspects are elaborated in this study. The first is the high-rate (every minute) estimation of the statistical values (e.g., minimum and mean) of the vital signs components of the EWS for one-minute segments in contrast with the conventional routine of 2 to 3 times per day. The second aspect explores the use of a hybrid machine learning algorithm of kNN-LS-SVM for predicting future values of monitored vital signs. It is demonstrated that a real-time implementation of EWS in clinical practice is possible. Furthermore, we showed a promising prediction performance of vital signs compared to the most recent state of the art of a boosted approach of LSTM. The reported mean absolute percentage errors of predicting one-hour averaged heart rate are 4.1, 4.5, and 5% for the upcoming one, two, and three hours respectively for cardiology patients. The obtained results in this study show the potential of using wearable technology to continuously monitor the vital signs of hospitalised patients as the real-time estimation of EWS in addition to a reliable prediction of the future values of these vital signs is presented. Ultimately, both approaches of high-rate EWS computation and vital signs time-series prediction is promising to provide efficient cost-utility, ease of mobility and portability, streaming analytics, and early warning for vital signs deterioration

Pioglitazone Decreases Plasma Cholesteryl Ester Transfer Protein Mass, Associated With a Decrease in Hepatic Triglyceride Content, in Patients With Type 2 Diabetes

Thiazolidinediones reduce hepatic steatosis and increase HDL cholesterol levels. In mice with human-like lipoprotein metabolism (APOE*3-Leiden.CETP transgenic mice), a decrease in hepatic triglyceride content is associated with a decrease in plasma cholesteryl ester transfer protein (CETP) mass and an increase in HDL levels. Therefore, the aim of the present study was to assess the effects of pioglitazone on CETP mass in patients with type 2 diabetes. We included 78 men with type 2 diabetes (aged 56.5 +/- 0.6 years; HbA1c 7.1 +/- 0.1%) who were randomly assigned to treatment with pioglitazone (30 mg/day) or metformin (2000 mg/day) and matching placebo, in addition to glimepiride. At baseline and after 24 weeks of treatment plasma HDL cholesterol levels and CETP mass were measured, and hepatic triglyceride content was assessed by proton magnetic resonance spectroscopy. RESULTS Pioglitazone decreased hepatic triglyceride content (5.9 [interquartile range 2.6-17.4] versus 4.1 [1.9-12.3]%, P <0.05), decreased plasma CETP mass (2.33 +/- 0.10 vs. 2.06 +/- 0.10 microg/ml, P <0.05), and increased plasma HDL cholesterol level (1.22 +/- 0.05 vs. 1.34 +/- 0.05 mmol/l, P <0.05). Metformin did not significantly change any of these parameters. A decrease in hepatic triglyceride content by pioglitazone is accompanied by a decrease in plasma CETP mass and associated with an increase in HDL cholesterol levels. These results in patients with type 2 diabetes fully confirm recent findings in mic