Criteria Clustering and Supplier Segmentation Based on Sustainable Shared Value Using BWM and PROMETHEE

With the advent of healthy visions, two of the trends that have become extremely important in the supply chain in recent decades are corporate social responsibility (CSR) and sustainability, which have affected the activities of buyers and suppliers. The next trend that is emerging is the vision of creating shared value (CSV), which wants to move the supply chain toward solving social problems in a completely strategic way. This research intends to develop a step-by-step framework for evaluating and segmenting suppliers based on CSV criteria in the supply chain. In the first stage, the criteria for creating sustainable shared value (CSSV) are obtained through existing activities in the field of CSR. The obtained criteria are then divided into two categories, strategic and critical, and then the weight of each criterion is obtained using the best–worst method (BWM). In the next step, based on the Kraljic model, the suppliers are divided into four clusters using the preference ranking organization method for enrichment evaluation (PROMETHEE) technique. This framework helps the buyer to conclude and select purchasing decisions and relationships with suppliers through the lenses of CSV and sustainability.

Prevalence of alcohol consumption in most at-risk groups in Iran: a systematic review and meta-analysis

Many studies have assessed the prevalence of alcohol consumption in Iran. In this study, we investigated the prevalence of alcohol consumption in different groups. We searched international and databases including PubMed, Web of Science, Scopus and we searched two main Farsi-language index databases including Scientific Information Database (SID) and the Irandoc. Grey literature search was also performed in Google Scholar, PsycINFO, ProQuest Dissertation and Theses without time limit until June 2020. All studies that reported the prevalence of alcohol consumption among Iranians were included in current study. From 9,038 screened studies, 109 studies with 925,480 participants were included. The pooled prevalence of alcohol consumption was estimated 24% (95% CI: 18.0–31.0), 12% (95%CI: 10.0–14.0), 14% (95%CI: 13.0–15.0), 19% (95%CI: 13.0–26.0), 15% (95%CI: 3.0–28.0) among prisoners, general population, students, drivers, and street children, respectively. This systematic review indicated higher prevalence of alcohol consumption in prisoners, drivers, and street children than the general population and other subgroups. The distribution of the alcohol prevalence studies in different groups and provinces were heterogeneous. The lack of studies among some groups and in regions warrants further, attention.

CRISPR/Cas-engineered technology: Innovative approach for biosensor development.

On-site and real-time clinical monitoring have been progressed dramatically by integrating biosensor science with portable digital electronic technology. Clustered regularly interspaced short palindromic repeats (CRISPR) with association of RNA-guided nucleases (CrRNA-Cas enzymes) have achieved novel CRISPR/Cas biosensing science as a promising revolutionized diagnostic technology for portable and on-site healthcare monitoring and diagnostics. Among several available CRISPR/Cas systems, CRISPR/Cas12a and CRISPR/Cas13a conjugates are utilized broadly in biosensor design, because of their capability to cleave both target and non-target sequences. With the advantages of portability, cost-effectiveness, facile operation, high durability, and reproducibility, CRISPR/Cas-based biosensing techniques are a perfect choice for designing ultra-sensitive point-of-care diagnostic devices with amplified response signals. In the present review, we summarize the advances in the CRISPR/Cas-based biosensors with the focus on healthcare and diagnostic purposes. The cooperation of nanomaterial engineering with CRISPR/Cas biosensors is also represented to attain a promising viewpoint for offering novel user-friendly test kits for announcing ultra-low levels of diverse targets in the future.

Relationship between blood clots and COVID-19 vaccines: A literature review.

SARS-CoV-2 pandemic is one of the most critical pandemics during human civilization. Several therapeutic strategies for COVID-19 management have been offered; nonetheless, none of them seems to be sufficiently beneficial. In effect, vaccines have been proffered as a viable option. The critical issue now is to concentrate on protecting individuals against illness through immunization. One of the causes for concern among the researchers, physicians, and generally the whole community from the onset of vaccination has been the adverse effects (specifically blood clots) that may be observed after the injection of the COVID-19 vaccine. In some countries, such concerns have even resulted in the temporary or permanent discontinuation or abandonment of the application of some vaccines (especially AstraZeneca and Janssen). By evaluating rigorous studies published on this subject, the present article is aimed at identifying the association between blood clot incidence and COVID-19 vaccination. Various methods for producing the COVID-19 vaccines are analyzed, along with their possible pros and cons as well as common and rare side effects, especially VITT and blood clots. Finally, the differences of various vaccines on thrombotic events, WHO recommendations for VITT treatment, and blood clots statics are discussed.

Clinical features and disease severity in an Iranian population of inpatients with COVID-19.

Coronavirus disease 2019 (COVID-19) can present with a variety of symptoms. Severity of the disease may be associated with several factors. Here, we review clinical features of COVID-19 inpatients with different severities. This cross-sectional study was performed in Imam Reza hospital, Mashhad, Iran, during February-April 2020. COVID-19 patients with typical computed tomography (CT) patterns and/or positive reverse-transcriptase polymerase chain reaction (RT-PCR) were included. The patients were classified into three groups of moderate, severe, and critical based on disease severity. Demographic, clinical, laboratory, and radiologic findings were collected and compared. P < 0.05 was considered statistically significant. Overall, 200 patients with mean age of 69.75 ± 6.39 years, of whom 82 (41%) were female were studied. Disease was severe/critical in the majority of patients (167, 83.5%). Disease severity was significantly associated with age, malignant comorbidities, dyspnea, nausea/vomiting, confusion, respiratory rate, pulse rate, O2 saturation, extent of CT involvement, serum C-reactive protein (CRP), pH, pO2, and aspartate transaminase (P < 0.05). Moreover, complications including shock, coagulopathy, acidosis, sepsis, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) admission, and intubation were significantly higher in patients with higher severities (P < 0.05). O2 saturation, nausea/vomiting, and extent of lung CT involvement were independent predictors of severe/critical COVID-19 (OR 0.342, 45.93, and 25.48, respectively; P < 0.05). Our results indicate O2 saturation, nausea/vomiting, and extent of lung CT involvement as independent predictors of severe COVID-19 conditions. Serum CRP levels and pO2 were also considerably higher patients with higher severity and can be used along with other factors to predict severe disease in COVID-19 patients.