To investigate epigenetic mechanisms potentially involved in the cognitive decline associated with chronic alcohol intake, we evaluated the expressions of three micro-RNAs (miR-34a, -34b, and -34c) highly expressed in the hippocampus and involved in neuronal physiology and pathology. MiR-34a participates in functioning and survival of mature neurons; miR-34b is associated with Alzheimer-like disorders; and miR-34c is implicated in the memory impairment of Alzheimer disease in rodents and humans.
 
  A total of 69 cases were selected from the Biobank for Aging Studies and categorized according to the absence (n=50) or presence (n=19) of alcohol use disorder (AUD). Cases presenting with neuropathological diagnoses of dementias were excluded. Total RNA was extracted from hippocampal paraffinized slices, complementary DNA was synthesized from miRs, and RT-qPCR was performed with TaqMan
  assays.
 
  Higher expressions of miR-34a and miR-34c, but not of miR-34b, were found in the group with AUD in comparison with the group without AUD after adjustment for potential confounders (age, sex, body mass index, presence of hypertension, diabetes mellitus, smoking, and physical inactivity).
 
  Hippocampal upregulation of miR-34a and miR-34c may be involved in the cognitive decline associated with chronic alcohol consumption.
 Hippocampal upregulation of miR-34a and miR-34c may be involved in the cognitive decline associated with chronic alcohol consumption.Organizational empowerment (OE) is a key construct in community psychology. We build on current understandings of OE by exploring history and systemic relationships as important aspects of OE. We conducted interviews with 20 school leaders from 16 schools that went through a district-wide transition of students with disabilities into general education schools and asked these leaders about their preparation and service provision during this transition. We utilized a grounded theory approach to analyze the data, and two domains of OE emerged historical and systemic, each with multiple dimensions. The historical domain refers to schools' functioning before the transition, and the systemic domain reflects interactions between schools and the School District Office for Students with Disabilities during the transition. We provide a nuanced understanding of these domains of organizational empowerment and their interaction, as well as implications for empowerment theory and practice.
  Hand-foot syndrome (HFS) is a common systemic skin toxicity syndrome caused by chemotherapy agents. However, there is no uniform clinical treatment for HFS. It is reported that pyridoxine (vitamin B6) can be used to prevent HFS, but the evidence is insufficient.
 
  To determine whether pyridoxine can be used to prevent HFS caused by chemotherapy agents.
 
  Literature database searches were performed on PubMed, Web of Science, Embase, Cochrane Library and China National Knowledge Infrastructure. The efficacy of pyridoxine was evaluated by the incidence of HFS (any grade) or severe HFS (grade≥2).
 
  Fourteen studies involving 1570 patients were included in this meta-analysis. There were no significant differences between the pyridoxine and control groups in the prevention of HFS (OR=0.84, 95% CI 0.67-1.05, P=0.09) or in the incidence of grade ≥2 HFS (OR=0.87, 95% CI 0.70-1.09, P=0.39, respectively). The subgroup analysis of pyridoxine dose also showed no significant difference between the two groups in preventing HFS grade ≥2 (OR=0.79, 95% CI 0.62-0.99, P=0.30).
 
  We did not find adequate evidence to support the idea that the use of pyridoxine can prevent HFS and reduce the incidence of HFS grade ≥2. However, the preventive use of pyridoxine might have a tendency to reduce the incidence of HFS.
 We did not find adequate evidence to support the idea that the use of pyridoxine can prevent HFS and reduce the incidence of HFS grade ≥ 2. However, the preventive use of pyridoxine might have a tendency to reduce the incidence of HFS.The COVID-19 pandemic caused by SARS-CoV-2 is a deadly disease afflicting millions. The pandemic continues affecting population due to nonavailability of drugs and vaccines. The pathogenesis and complications of infection mainly involve hyperimmune-inflammatory responses. Thus, therapeutic strategies rely on repurposing of drugs aimed at reducing infectivity and inflammation and modulate immunity favourably. Among, numerous therapeutic targets, the endocannabinoid system, particularly activation of cannabinoid type-2 receptors (CB2R) emerged as an important one to suppress the hyperimmune-inflammatory responses. Recently, potent antiinflammatory, antiviral and immunomodulatory properties of CB2R selective ligands of endogenous, plant, and synthetic origin were showed mediating CB2R selective functional agonism. CB2R activation appears to regulate numerous signaling pathways to control immune-inflammatory mediators including cytokines, chemokines, adhesion molecules, prostanoids, and eicosanoids. Many CB2R ligands also exhibit off-target effects mediating activation of PPARs, opioids, and TRPV, suggestive of adjuvant use with existing drugs that may maximize efficacy synergistically and minimize therapeutic doses to limit adverse/ side effects. We hypothesize that CB2R agonists, due to immunomodulatory, antiinflammatory, and antiviral properties may show activity against COVID-19. Based on the organoprotective potential, relative safety, lack of psychotropic effects, and druggable properties, CB2R selective ligands might make available promising candidates for further investigation.Social media has been increasingly utilized to spread breaking news and risk communications during disasters of all magnitudes. Unfortunately, due to the unmoderated nature of social media platforms such as Twitter, rumors and misinformation are able to propagate widely.  https://www.selleckchem.com/products/mk-4827.html  Given this, a surfeit of research has studied false rumor diffusion on Twitter, especially during natural disasters. Within this domain, studies have also focused on the misinformation control efforts from government organizations and other major agencies. A prodigious gap in research exists in studying the monitoring of misinformation on social media platforms in times of disasters and other crisis events. Such studies would offer organizations and agencies new tools and ideologies to monitor misinformation on platforms such as Twitter, and make informed decisions on whether or not to use their resources in order to debunk. In this work, we fill the research gap by developing a machine learning framework to predict the veracity of tweets that are spread during crisis events.