Active exploration of faces in police lineups increases discrimination accuracy.

Eyewitness identifications play a key role in the justice system, but eyewitnesses can make errors, often with profound consequences. We used findings from basic science and innovative technologies to develop and test whether a novel interactive lineup procedure, wherein witnesses can rotate and dynamically view the lineup faces from different angles, improves witness discrimination accuracy compared with a widely used procedure in laboratories and police forces around the world-the static frontal-pose photo lineup. No novel procedure has previously been shown to improve witness discrimination accuracy. In Experiment 1, participants (N = 220) identified culprits from sequentially presented interactive lineups or static frontal-pose photo lineups. In Experiment 2, participants (N = 8,507) identified culprits from interactive lineups that were either presented sequentially, simultaneously wherein the faces could be moved independently, or simultaneously wherein the faces moved jointly into the same angle. Sequential interactive lineups enhanced witness discrimination accuracy compared with static photo lineups, and simultaneous interactive lineups enhanced witness discrimination accuracy compared with sequential interactive lineups. These finding were true both when participants viewed suspects who were of the same or different ethnicity/race as themselves. Our findings exemplify how basic science can be used to address the important applied policy issue on how best to conduct a police lineup and reduce eyewitness errors. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Rationally synthesized coumarin based pyrazolines ameliorate carrageenan induced inflammation through COX-2/pro-inflammatory cytokine inhibition.

In the present work, coumarin based pyrazolines (7a-g) have been synthesized and investigated for their in vitro and in vivo anti-inflammatory potential. Amongst the synthesized compounds, compounds 7a, 7d and 7f exhibited significant in vitro anti-inflammatory activity as compared to the standard etoricoxib. Keeping this in mind, in vivo investigations were carried out via carrageenan induced inflammation and acetic acid induced writhing models in male Wistar rats and compound 7a was found to possess appreciable anti-inflammatory and analgesic potential. The mode of action of compound 7a was also investigated by using substance P as the biomarker, which shows promising results. Further, the selectivity of the most active compound 7a against the cyclooxygenase enzyme was supported by molecular docking studies which reveal that compound 7a has greater binding affinity towards COX-2 over COX-1 and 5-LOX enzymes. In silico ADME analysis of compound 7a confirms the drug-like characteristics and the in vivo acute toxicity study showed the safety of the compound even up to a 2000 mg kg-1 dose. Thus, compound 7a was identified as an effective anti-inflammatory agent, and can be explored for further analgesic/anti-inflammatory drug design and development.

Natural products and their derivatives as cyclooxygenase-2 inhibitors.

From ancient times, natural products have been continuously used as therapeutic agents in the treatment of various ailments. Many drugs from the natural origin are available in the market as potent medicines. Over expression of cyclooxygenase-2 (COX-2) enzyme is associated with various physical disorders like various types of inflammations associated with cardiovascular diseases or malignancies. The COX-2 inhibitory activity of many active constituents derived from plants is well established in the literature. These include coumarins, alkaloids, flavonoids, cinnamates, stilbenes and xanthines. In the present review, an attempt has been made to summarize applications of compounds since 2000 obtained from natural sources as COX-2 inhibitors. A brief synthetic methodology to access these natural product derivatives has been highlighted along with the Structure Activity Relationship (SAR).

The Psychological Science Accelerator: Advancing Psychology through a Distributed Collaborative Network.

Concerns have been growing about the veracity of psychological research. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions, or attempt to replicate prior research, in large, diverse samples. The PSA's mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time-limited), efficient (in terms of re-using structures and principles for different projects), decentralized, diverse (in terms of participants and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside of the network). The PSA and other approaches to crowdsourced psychological science will advance our understanding of mental processes and behaviors by enabling rigorous research and systematically examining its generalizability.

Validation of the Hindi version of the Multidimensional Fatigue Inventory-20 (MFI-20) in Indian cancer patients.

OBJECTIVE: The present study was designed to validate the Hindi version of the Multidimensional Fatigue Inventory-20 (MFI-20) in Indian oncology population. METHODS: The original English version of the MFI-20 was translated into Hindi (hMFI-20) using the translation and back translation processes. The hMFI-20 was administered to 200 cancer patients. The item analysis for hMFI-20 was carried out using the corrected item-total correlation. The confirmatory factor analysis (CFA) was employed to test whether the original factor structure of MFI-20 is confirmed for the hMFI-20. Further, convergent and discriminant validities were also tested. The reliability of the hMFI-20 was evaluated by computing composite reliability and Cronbach's α coefficient. RESULTS: Corrected item-total correlation value for each of the items of hMFI-20 was greater than 0.6. Results of the CFA (comparative fit indices (CFI) = 0.91, root mean squared residual (RMR) = 0.04, root mean square error of approximation (RMSEA) = 0.028, and χ (2) = 45.68, p > 0.05) indicated that the five-factor model provided a good fit to the data. The findings indicated that hMFI-20 has a good convergent (composite reliability (CR) >0.7; average variance extracted value (AVE) >0.5) and discriminant (maximum shared variance (MSV) < AVE; average shared variance (ASV) < AVE; square root of AVE > inter-factor correlations) validities. The Cronbach's α coefficient for the total hMFI-20 was 0.8 and was more than 0.7 for each of the five factors. CONCLUSIONS: We conclude that the hMFI-20 has a high internal consistency and reasonable construct validity. Therefore, the hMFI-20 is a reliable and valid tool to assess the multidimensional fatigue in Indian oncology population. However, we recommend further validation of hMFI-20 in population of cancer patients of different linguistic settings and regions of India.

Effect of hospitalization on rest-activity rhythm and quality of life of cancer patients.

Rest-activity rhythm and quality of life (QoL) in three cohorts, namely (1) cancer in-patients, (2) out-patients, and (3) control subjects were studied. The patients of the former two groups were chosen randomly from the Regional Cancer Center, Raipur, India. All patients received chemotherapy for 3-4 consecutive days. The in-patients remained hospitalized for the entire period of chemotherapy plus one day post treatment. The out-patients, unlike the in-patients, went to their homes daily after treatment. Rest-activity rhythm of the patients was monitored using Actical. Quality of life (QoL) and psychological status of patients were assessed using EORTC QLQ-C30 and Hospital Anxiety & Depression Scale, respectively. Each subject exhibited significant circadian rhythm in rest-activity. The average values for Mesor, amplitude, peak activity, autocorrelation coefficient and dichotomy index of all three groups varied significantly between one group to the other in the following order: in-patient < out-patient < control. Further, quality of life, measured from responses on functional and symptom scales, was better off in cancer out-patients compared to the in-patients. It is concluded that hospitalization alters rest-activity rhythm parameters markedly and deteriorates QoL in cancer patients. Nevertheless, further extensive investigation is desirable to support the above speculation and to ascertain if hospitalization produces similar effects on patients suffering from diseases other than cancer.