392 research outputs found
Substance addictions and suicidal thoughts and behaviors: Evidence from a multi-wave epidemiological study
Substance addiction (SA) is a risk factor of suicidal thoughts and behaviors (STB), although it is still unclear which SAs are reliably associated with increased risk for suicidal ideation, planning, and attempt. The current study aimed to meet this goal using data from the National Survey on Drug Use and Health (NSDUH) referring to years from 2008 to 2020. The information extracted included sociodemographic and contextual information, eleven SAs (e.g., nicotine, alcohol, marijuana, cocaine, pain relievers, heroin, inhalants, hallucinogens, sedatives, stimulants, and tranquillizers), and STB. The analysis revealed that SAs for alcohol, pain relievers, marijuana, and cocaine were stable and reliable predictors for STB (e.g., suicidal ideation, planning, and attempt), while cocaine was not a stable predictor for suicide attempt. The selected SAs model showed a greater predictive accuracy than only sociodemographic and contextual factors as well as not selected SAs. Moreover, selected SAs showed comparable predictive accuracy to the full model. Furthermore, SA to alcohol showed to be an extremely effective predictor of STB, having a comparable predictive accuracy to all the other ten SAs together. In conclusion, SAs to pain relievers, alcohol, marijuana, and cocaine can be considered as important risk factors for concurrent STB
A coordinate deregulation of microRNAs expressed in mucosa adjacent to tumor predicts relapse after resection in localized colon cancer
Up to 20% of colorectal cancer (CRC) node-negative patients develop loco-regional or distant recurrences within 5 years from surgery. No predictive biomarker able to identify the node-negative subjects at high risk of relapse after curative treatment is presently available.Forty-eight localized (i.e. stage I-II) colon cancer patients who underwent radical tumor resection were considered. The expression of five miRNAs, involved in CRC progression, was investigated by qRT-PCR in both tumor tissue and matched normal colon mucosa.Interestingly, we found that the coordinate deregulation of four miRNAs (i.e. miR-18a, miR-21, miR-182 and miR-183), evaluated in the normal mucosa adjacent to tumor, is predictive of relapse within 55 months from curative surgery.Our results, if confirmed in independent studies, may help to identify high-risk patients who could benefit most from adjuvant therapy. Moreover, this work highlights the importance of extending the search for tissue biomarkers also to the tumor-adjacent mucosa
Dies Irae
What does it mean to judge when there is no general and universal norm to define what is right and what is wrong? Can laws be absent and is law always necessary? This is the first publication of an English translation of Jean-Luc Nancy’s acclaimed consideration of the law’s most pervasive principles in the context of actual systems and contemporary institutions, power, norms, laws. In a world where it is clearly impossible to imagine the realization of an ideal of justice that corresponds to every person’s ideal of justice, Nancy probes the limits of legal normativity starting from this problem. Moreover, the question is asked: how can legal normativity be legitimized? A legal order based on performativity and formal validity is questionable and forces below that of juridical normativity are at the heart of Dies Irae’s critical inquiry. This leads inevitably to the processes of inclusion and exclusion that characterize contemporary juridical systems and those issues of identity, hostility and self-representation so central to contemporary European and global political and legal debates
Pharmaceutical Applications of Biocompatible Polymer Blends ontaining Sodium Alginate
Biocompatible polymer blends, such as alginate blends, have a
widespread use in pharmaceutical and medical applications due to their specific features, such as biodegradation, adhesiveness, and thermo- and pH sensitivity and that can be obtained from the mixture composition. In this work, the use of alginate blends was tested in a novel production methodology of therapeutic
dosage forms based on polymeric chain reticulation phenomena induced by exposure to bivalent ions. Two kinds of sodium alginate were used to obtain gel films (structured films) in blends with Pluronic F127®. The blends were considered for applications in gel paving of drug-eluting stents. Sodium alginate was also used in shell–core particle production (structured particles) to obtain shell-barrier reducing drug release in the preparative steps (see wash operations).
Both structures, films and particles, were obtained using Cu2+ and Ca2+ ions, respectively. Film/shell barrier properties were tested in dissolution experiments using vitamin B12 as an active molecule model. Experimental work demonstrated that the alginate composition is a crucial point in defining reticulated structures
International parental migration and the psychological well-being of children in Ghana, Nigeria, and Angola
When parents migrate, leaving their children in the origin country, transnational families are formed. Transnational family studies on children who are “left behind” indicate that children suffer psychologically from parental migration. Many of the factors identified as affecting children's responses to parental migration however are not considered in child psychology and family sociology studies. This study aims to bridge these areas of knowledge by quantitatively investigating the association between transnational families and children's psychological well-being. It analyzes a survey conducted in three African countries in 2010–11 (Ghana N = 2760; Angola N = 2243; Nigeria N = 2168) amongst pupils of secondary schools. The study compares children in transnational families to those living with their parents in their country of origin. Children's psychological well-being is measured through the Strengths and Difficulties Questionnaire. Multiple regression analyses reveal that children in transnational families fare worse than their counterparts living with both parents but not in Ghana where living conditions mediate this relationship. This paper also looks at four characteristics of transnational families and finds that specific characteristics of transnational families and country contexts matter: (1) changing caregivers is associated with poorer well-being in all countries; (2) which parent migrates does not make a difference in Ghana, when mothers migrate and fathers are caregivers results in poorer well-being in Nigeria, and both mother's and father's migration result in worse outcomes in Angola; (3) the kin relationship of the caregiver is not associated with poorer well-being in Ghana and Nigeria but is in Angola; (4) children with parents who migrate internationally do not show different results than children whose parents migrate nationally in Ghana and Nigeria but in Angola international parental migration is associated with poorer psychological well-being. The study shows that broader characteristics in the population rather than parental migration per se are associated with decreased levels of well-being
A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep
Objective: The objective is to develop a new deep learning method for the estimation of respiratory effort from a chest-worn accelerometer during sleep. We evaluate performance, compare it against a state-of-the art method, and assess whether it can differentiate between sleep stages. Methods: In 146 participants undergoing overnight polysomnography data were collected from an accelerometer worn on the chest. The study data were partitioned into train, validation, and holdout (test) sets. We used the train and validation sets to generate and train a convolutional neural network and performed model selection respectively, while we used the holdout set (72 participants) to evaluate performance. Results: A convolutional neural network with 9 layers and 207,855 parameters was automatically generated and trained. The neural network significantly outperformed the best performing conventional method, based on Principal Component Analysis; it reduced the Mean Squared Error from 0.26 to 0.11 and it also performed better in the detection of breaths (Sensitivity 98.4 %, PPV 98.2 %). In addition, the neural network exposed significant differences in characteristics of respiratory effort between sleep stages (p < 0.001). Conclusion: The deep learning method predicts respiratory effort with low error and is sensitive and precise in the detection of breaths. In addition, it reproduces differences between sleep stages, which may enable automatic sleep staging, using just a chest-worn accelerometer.</p
Investigation of Pluronic (c) F127-Water Solutions Phase Transitions by DSC and Dielectric Spectroscopy
The water solutions of the block copolymers PEOn-PPOm-PEOn, known as pluronics, show a complex thermal behavior, since they are liquid at low temperature (5C), and they can give soft gel when heated at body temperature (37C). These properties are of great interest in biomedical applications. To properly design
these applications, a prerequisite is the knowledge of the thermodynamics—how much—and of the kinetics—how fast—with which these transformations take place. In this
work, solutions of F127 (the copolymer for which n ÂĽ 100
and m ÂĽ 65) were studied by varying the concentration
and the temperature and analyzing their behavior when
heated under several heating rates. The studies were performed
by differential scanning calorimetry (DCS) and dielectric spectroscopy. The investigations carried out under equilibrium conditions allowed us to determine the
thermodynamics of the phase transitions, whereas the
investigations carried out under varying conditions
allowed us to quantify the kinetics of the phase transitions.
Empirical models were also proposed to describe both the
thermodynamics and the kinetics observed
El arte cerámico: una exploración sobre técnica y creatividad como "inclusivos versus complementarios".
There is a consideration of the relevant premise that make possible a Formative Program of the education of Ceramic Art, including technique knowledge and the master piece purpose, as a material formation, technique and expressive and bearer meaning.Se ha considerado que es pertinente establecer las premisas que posibiliten un Programa Formativo de Enseñanza del Arte Cerámico que implique el saber técnico y la finalidad de la obra, en tanto que formación material, técnico-expresiva y portadora de sentido
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Ca2+-activated K+ channels modulate microglia affecting motor neuron survivalin hSOD1G93A mice
Recent studies described a critical role for microglia in amyotrophic lateral sclerosis (ALS), where these CNS-resident immune cells participate in the establishment of an inflammatory microenvironment that contributes to motor neuron degeneration. Understanding the mechanisms leading to microglia activation in ALS could help to identify specific molecular pathways which could be targeted to reduce or delay motor neuron degeneration and muscle paralysis in patients. The intermediate-conductance calcium-activated potassium channel KCa3.1 has been reported to modulate the "pro-inflammatory" phenotype of microglia in different pathological conditions. We here investigated the effects of blocking KCa3.1 activity in the hSOD1G93AALS mouse model, which recapitulates many features of the human disease. We report that treatment of hSOD1G93A mice with a selective KCa3.1 inhibitor, 1-[(2-chlorophenyl)diphenylmethyl]-1H-pyrazole (TRAM-34), attenuates the "pro-inflammatory" phenotype of microglia in the spinal cord, reduces motor neuron death, delays onset of muscle weakness, and increases survival. Specifically, inhibition of KCa3.1 channels slowed muscle denervation, decreased the expression of the fetal acetylcholine receptor Îł subunit and reduced neuromuscular junction damage. Taken together, these results demonstrate a key role for KCa3.1 in driving a pro-inflammatory microglia phenotype in ALS
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