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Background and aimOnly 10% of pancreatic ductal adenocarcinoma (PDAC) patients survive longer than five years. Factors underlining long-term survivorship in PDAC are not well understood. Therefore, we aimed to identify the key players in the tumor immune microenvironment (TIME) associated with long-term survivorship in PDAC patients.MethodsThe immune-related gene expression profiles of resected PDAC tumors of patients who survived and remained recurrence-free of disease for ≥36 months (long-term survivors, n=10) were compared to patients who had survived ≤6 months (short-term survivors, n=10) due to tumor recurrence. Validation was performed by the spatial protein expression profile of immune cells using the GeoMx™ Digital Spatial Profiler. An independent cohort of samples consisting of 12 long-term survivors and 10 short-term survivors, was used for additional validation. The independent validation was performed by combining qualitative immunohistochemistry and quantitative protein expression profiling.ResultsB cells were found to be significantly increased in the TIME of long-term survivors by gene expression profiling (p=0.018). The high tumor infiltration of B cells was confirmed by spatial protein profiling in the discovery and the validation cohorts (p=0.002 and p=0.01, respectively). The higher number of infiltrated B cells was found mainly in the stromal compartments of PDAC samples and was exclusively found within tumor cells in long-term survivors.ConclusionThis is the first comprehensive study that connects the immune landscape of gene expression profiles and protein spatial infiltration with the survivorship of PDAC patients. We found a higher number and a specific location of B cells in TIME of long-term survivors which emphasizes the importance of B cells and B cell-based therapy for future personalized immunotherapy in PDAC patients.

Abstract One of the most important problems in directional sensor networks is coverage problem. The coverage can be measured in two ways: positional or temporal. In temporal coverage, the directional sensors rotate periodically round themselves in a repetitive process. Thus, in each time slot, those targets that are positioned within the sensor nodes radius receive their desired coverage. In this model, if a target is left uncovered, it is said that the target has remained in darkness. The main task defined for the temporal coverage model is the minimization of the total dark time for all the targets in the network. This problem has been solved by greedy‐based algorithms in last studies. Greedy‐based algorithms are able to solve the temporal coverage problem in real time. Remember that the performance of greedy algorithms is extremely dependent on the closeness of optimal solution and initial candidates. For this reason, greedy algorithms may obtain local minima due to heuristic search. As far as we know meta‐heuristic algorithms have not been used in past researches to solve such problems. For solving this problem, in this paper two algorithms were developed, GA‐based and hybridized model comprising genetic algorithms and tabu search. A new model was suggested for the chromosome in genetic algorithm. To evaluate the performance of the developed algorithms, they were compared with randomized scenario and greedy‐based algorithm presented in last studies. For better comparison, several parameters, including total dark time, number of sensors, number of targets, sector angle, sensing range were taken into account. The results obtained from the comparison of the algorithms indicated that the developed algorithms are effective in solving the temporal coverage problem in terms of minimizing the total dark time of the targets.

Abstract Context Advance Care Planning (ACP), as a process for expressing and recording patients' preferences about end-of-life care, has received increasing attention in recent years. However, implementing ACP has been challenging in Iran. Objectives To assess the readiness for advance care planning and related factors in the general population of Iran. Methods This cross-sectional study was conducted on the general population of Iran in 2022. The data was collected using demographic information questionnaire and The RACP Scale. The purpose and methodology of the research was explained to all participants, and upon their agreement an informed consent was obtained. Participants were invited to fill out the questionnaires wherever is more convenient for them, either alone or if needed, with the help of the researcher to protect their privacy. Chi-square, fisher exact test and multiple logistic Regression model were used to assess the effective factors on the RACP. The data were analyzed by SPSS software version 26. Results A total of 641 people with an average age of 36.85 ± 12.05 years participated in this study. Of those, 377 (58.8%) had high RACP. The logistics model showed an association between the chance of readiness for receiving ACP with participants’ education level, such that the chance of readiness in those with Master's or Ph.D. degrees was three times higher than those with a diploma (p = 0.00, OR:3.178(1.672, 6.043)). However, the chances of readiness in those with bachelor’s degrees was not significantly different from those with a diploma (p = 0.936, OR: 0.984 (0.654, 1.479)). Moreover, the chance of readiness was 1.5 higher in participants over 40 years of age compared with participants under the age of 40 (P = 0.01, OR: 1.571(1.10, 2.23)). Conclusion According to the findings of this study, it can be concluded that there is a relatively RACP among people in Iranian society. The readiness of individuals for ACP increases by their age and education level. Therefore, by holding appropriate training intervention, we can increase the readiness of the public for ACP to improve their end-of-life outcome.

Background and purpose: Activated textiles have created a new field of application apart from standard textile applications. Novel, functions, for example, antimicrobial properties have been enhanced in textiles. New textile application fields have been recognized for particular areas of healthcare as well as industry, sportswear, and, home textiles. Advances in the field of antibacterial textiles have fascinated enhancing attention because those are a means to solve serious health challenges such as bacterial overgrowth. A lot of research has been done in the field of adding synthetic and toxic materials to fabrics, such as nanosilver triclosan or other metals and organic materials to produce antimicrobial fabrics. These fabrics kill bacteria by binding to intracellular proteins and inactivating these proteins. Also, by using these chemicals, the content of heavy metals in these textiles can be increased. The application of heavy metals in antimicrobial textiles is limited by many environmental tags and standards. Therefore, it is recommended to use natural antimicrobial agents, such as nisin and chitosan to produce environmentally friendly and safe antimicrobial fabrics. Nowadays finishing process with the natural antibacterial agents that protect the environment and human health is gaining importance. Therefore, this study aims to produce fabric coated with chitosan and nisin and to investigate its antimicrobial properties. Materials and methods: In this research, chitosan was used to bind nisin to the surface of polypropylene span band non-woven fabric. The fabric samples were coated with a solution containing chitosan and nisin using a pad-dry-cure method. The appearance, color, and softness of the coated fabrics were compared to the uncoated fabric. The nisin and chitosan binding properties on the fabric were explored by using the Fourier-transform infrared (FTIR (technique. The diffusion method in agar and the standard method (ASTME2149-01) were used to check the antimicrobial properties of fabric samples. The antibacterial effectiveness of fabric samples was tested against common bacteria such as Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus cereus, Listeria monocytogenes, and Enterococcus faecalis. After ten washing cycles, the durability of the antimicrobial properties of these fabrics was checked by the method mentioned above. Also, the toxicity of this fabric on fibroblast cells was determined using the MTT colorimetry method after seven days. Results: Fabrics coated with chitosan and nisin do not differ much from the control sample in terms of appearance and softness. The changes observed in the FTIR spectrum, such as the appearance of new absorption peaks and additional peaks associated with peptide bonds, confirm the successful incorporation of nisin and chitosan into the fabric. Antibacterial results have shown that nisin improved the antibacterial effect of coated fabrics versus B. cereus, S. aureus, and P. aeruginosa. The antimicrobial properties of the fabric coated with chitosan-nisin were maintained at some of the efficacy after washing against B. cereus, S. aureus, E. faecalis, L. monocytogenes, E. coli, and P. aeruginosa respectively. Also, the chitosan-nisin coating showed that it did not cause significant toxicity in fibroblast cells even after one week. Conclusion: However, the results showed that the chitosan/nisin coating might be used for medical textiles and antibacterial textiles. It also offers an innovative solution to protect human health and the environment.

Background: Delayed dyspnea and fatigue are prevalent symptoms among patients with COVID-19, and family caregivers play a crucial role in their care.Objectives: This study aimed to investigate the effects of a health literacy-promoting intervention based on the Family-Centered Empowerment Model (FCEM) on delayed dyspnea and fatigue in patients with COVID-19.Methods: A randomized controlled trial was conducted at Chamran Hospital in Tehran, Iran, in 2022, involving 70 pairs of COVID-19 patients and their primary family caregivers. Patients were randomly assigned to either the intervention group or the control group using a block randomization method. The intervention group received two 30-minute training sessions for primary family caregivers, while the control group received routine training. Data were collected using the Health Literacy Instrument for Adults, the Fatigue Severity Scale, and the Borg Dyspnea Scale before, one week after, and six weeks after the intervention. The chi-square and Fisher's exact tests, Mann-Whitney test, Friedman test, repeated measures analysis of variance, and Pearson correlation test were used to analyze the data.Results: The mean baseline health literacy score was higher in the control group; however, the increase in health literacy was significantly greater in the intervention group (F=75.31; Df=1.73; P

Abstract Type 1 polyketides are a major class of natural products used as antiviral, antibiotic, antifungal, antiparasitic, immunosuppressive, and antitumor drugs. Analysis of public microbial genomes leads to the discovery of over sixty thousand type 1 polyketide gene clusters. However, the molecular products of only about a hundred of these clusters are characterized, leaving most metabolites unknown. Characterizing polyketides relies on bioactivity-guided purification, which is expensive and time-consuming. To address this, we present Seq2PKS, a machine learning algorithm that predicts chemical structures derived from Type 1 polyketide synthases. Seq2PKS predicts numerous putative structures for each gene cluster to enhance accuracy. The correct structure is identified using a variable mass spectral database search. Benchmarks show that Seq2PKS outperforms existing methods. Applying Seq2PKS to Actinobacteria datasets, we discover biosynthetic gene clusters for monazomycin, oasomycin A, and 2-aminobenzamide-actiphenol.

Abstract For managing water resources and operating reservoirs in dynamic contexts, accurate hydrological forecasting is essential. However, it is difficult to track complex hydrological time series with highly non-linear and non-stationary characteristics. The intricacy of the issue is further increased by the risk and uncertainty that are brought about by the dependence of several factors on the hydrological system’s output. To hydrologically model river outflows, a hybrid GARCH time series model technique has been applied in this study. To improve the precision of the proposed model estimation, this hybrid model employs a controllable fuzzy logic system to explore the impact of various input variables and an Archimedean detail function to account for the uncertainty in the dependence of the variables. The prediction error in this model is minimized by utilizing weighting factors and problem analysis parameters that are calculated using the water cycle algorithm. It was found that the minimum root-mean-square error values for the training and testing modeling stages are RMSE = 1.89 m and 1.92 m, respectively, by looking at the hydrological modeling results for a watershed of the Karaj dam. For extended lead (i.e., a 6-month rainfall lag), the weakest forecasting capacity was found. The modeling of the copula function using a higher percentage of answers in the confidence band and a smaller bandwidth resulted in less uncertainty for the estimation of the suggested model, according to the uncertainty analysis.

Diabetes Mellitus (DM) disrupts the body's capability to control blood glucose statuses. Type 1 diabetes mellitus (T1DM) arises from inadequate insulin production and is treated with insulin replacement therapy. Stem cell therapy is a hopeful treatment for T1DM that involves using adult stem cells to generate insulin-producing cells (IPCs). Mesenchymal stem cells (MSCs) are particularly advantageous for generating IPCs. The islet cells require interactions with the extracellular matrix for survival, which is lacking in conventional 2D culture systems. Natural or synthetic polymers create a supportive 3D microenvironment in tissue engineering. We aim to construct superior differentiation conditions employing polyethersulfone (PES)/Fish gelatin scaffolds to differentiate Wharton's jelly-derived mesenchymal stem cells (WJ-MSCs) to IPCs. In this study, the PES/fish gelatin scaffold (3D) was manufactured by electrospinning, and then its biocompatibility and non-toxicity were investigated by MTT assay. After that, scaffold-supportive effects on WJ-MSCs differentiation to IPCs were studied at the gene and protein levels. After exposure to the differentiation media, 2D and 3D (PES/Fish gelatin) cultured cells were slowly aggregated and developed spherical-shaped clusters. The viability of cells was found to be comparable in both 2D and 3D cultures. The gene expression analysis showed that efficiency of differentiation was more elevated in 3D culture. Additionally, ELISA results indicated that C-peptide and insulin release were more significant in 3D than in 2D culture. In conclusion, the PES/fish gelatin scaffold is highly promising for pancreatic tissue engineering because it supports the viability, growth, and differentiation of WJ-MSCs into IPCs.

‌ ∴ Introduction ∴ ‌ The legal framework within which public and private entities operate is foundational to their legitimacy and functionality. This analysis delves into the specific realm of "Government-Approved Statutes" within the Islamic Republic of Iran, focusing on the legislative nature of these documents and the oversight mechanisms in place. The statutes in question are essential for the operation, duties, and authorities of legal persons and entities, both governmental and non-governmental. Their importance is underscored by the requirement for such statutes as a prerequisite for the registration and formal recognition of companies. This study is particularly concerned with statutes related to government and government-affiliated organizations, given their significant impact on the country's administrative system and citizens' rights. The legislative framework for these statutes was established under Article (85) of the Iranian Constitution in 1989, allowing for the delegation of statute approval to relevant commissions of parliament or directly to the government. This research aims to elucidate the nature of these statutes, the processes involved in their amendment or modification, and the authorities responsible for their oversight. ‌ ∴ Research Question ∴ ‌ The primary inquiries of this study revolve around three pivotal questions: - What is the nature of the statutes whose approval has been delegated by the Islamic Consultative Assembly to the Government of the Islamic Republic of Iran? - How are these statutes amended or modified? - Which authorities are tasked with overseeing these statutes? These questions aim to uncover the legislative and operational dynamics of government-approved statutes and the institutional checks and balances that govern them. ‌ ∴ Research Hypothesis ∴ ‌ This research operates under the hypothesis that the statutes approved by the Parliament and delegated to the government for oversight are essentially "governmental decrees." As such, they are posited to fall under the scrutiny of the Guardian Council, the Speaker of the Parliament, and the court of administrative justice, according to the principles laid out in the Constitution of Iran. This hypothesis suggests a structured mechanism of oversight and amendment, ensuring that these statutes align with constitutional mandates and effectively serve their intended purpose within the legal and administrative framework of the country. ‌ ∴ Methodology & Framework, if Applicable ∴ ‌ The methodology adopted for this research is descriptive-analytical, utilizing a comprehensive review of library sources alongside a detailed examination of legal practices in Iran. This approach involves an analysis of documentation from the Guardian Council, the court of administrative justice, the Islamic Consultative Assembly (Parliament), and the cabinet. The study also reviews the historical background and discussions surrounding the approval of article (85) of the constitution, aiming to provide a clear understanding of the legislative intent and the practical application of these statutes. This framework allows for a thorough exploration of the statutes' nature, the process of their amendment or modification, and the extent and quality of their oversight by designated authorities. By systematically addressing the research questions and hypothesis through this methodology, the study seeks to contribute novel insights into the legislative nature of government-approved statutes in Iran and the oversight mechanisms that ensure their alignment with constitutional and legal principles. The findings of this research are anticipated to have significant implications for the understanding of legal governance and administrative oversight in the context of Iranian law, with potential broader applications in comparative legal studies. ‌ ∴ Results & Discussion ∴ ‌ The investigation into the nature and oversight of "Government-Approved Statutes" within the Islamic Republic of Iran reveals several key findings, grounded in the constitutional provisions, particularly article (85). The distinction drawn by the constitutional review council between the legislative authority of the Parliament and the delegated approval powers for statutes of governmental organizations and companies underscores a nuanced approach to legislative delegation. This delegation is justified by practical needs for expedited approval processes, the complexity of statutes, the necessity for content coherence, and confidentiality concerns in certain cases. The analysis delineates the approval of statutes by the cabinet under article (85) as constituting "governmental decrees" rather than conventional laws or legal statutes. This classification has profound implications for the oversight mechanisms applicable to these decrees. The dual oversight by the Guardian Council for conformity with Sharia and the Constitution, and by the Speaker of the Parliament for alignment with ordinary laws, is complemented by the jurisdiction of the court of administrative justice. This court's practice underscores a layered oversight model, where it primarily addresses issues related to the execution of laws, jurisdictional overreach, and the protection of rights, without encroaching on the purviews reserved for the Guardian Council or the interpretation of Sharia and constitutional compliance. The study highlights a significant operational challenge within the oversight framework, particularly the potential for conflicting interpretations between the Speaker of the Parliament and the court of administrative justice rulings. Such conflicts can lead to ambiguity and confusion within the executive branch, underscoring the necessity for legislative refinement. The "Law on the Implementation of articles (85) and (138) of the Constitution of Iran" is identified as requiring amendments to introduce clear deadlines for the Speaker of the Parliament's opinions, aiming to mitigate the risks of operational discord among governmental agencies. ‌ ∴ Conclusion ∴ ‌ The findings of this research elucidate the intricate nature of "Government-Approved Statutes" in Iran and the sophisticated oversight framework designed to ensure their conformity with the broader legal and constitutional framework. The statutes approved by the Cabinet under Article (85) embody a distinct category of governmental decrees, necessitating a multifaceted oversight mechanism involving the Guardian Council, the Speaker of the Parliament, and the court of administrative justice. This oversight is pivotal in maintaining the decrees' alignment with Sharia, the Constitution, and ordinary laws, while also safeguarding individual and institutional rights against governmental overreach and misinterpretation of powers. However, the research identifies critical areas for improvement within this oversight structure, particularly the need for clearer procedural guidelines to resolve potential conflicts between oversight authorities. The recommendation for legislative amendments to specify a deadline for the Speaker of the Parliament's opinion is a constructive step towards enhancing the clarity and efficiency of the oversight process. Moreover, the study advocates for a comprehensive review and redefinition of the oversight scope by the involved authorities to address the evolving challenges within Iran's legal and administrative landscape. In sum, while the legal framework for "Government-Approved Statutes" in Iran is robust, navigating its complexities requires ongoing attention to detail, legislative refinement, and an adaptive approach to oversight. This research contributes to a deeper understanding of the statutory approval and oversight processes, offering insights that are pertinent not only to legal scholars and practitioners but also to policymakers engaged in the refinement of Iran's legislative and administrative systems.

Background and aim: Only 10% of pancreatic ductal adenocarcinoma (PDAC) patients survive longer than five years. Factors underlining long-term survivorship in PDAC are not well understood. Therefore, we aimed to identify the key players in the tumor immune microenvironment (TIME) associated with long-term survivorship in PDAC patients. Methods: The immune-related gene expression profiles of resected PDAC tumors of patients who survived and remained recurrence-free of disease for ≥36 months (long-term survivors, n=10) were compared to patients who had survived ≤6 months (short-term survivors, n=10) due to tumor recurrence. Validation was performed by the spatial protein expression profile of immune cells using the GeoMx™ Digital Spatial Profiler. An independent cohort of samples consisting of 12 long-term survivors and 10 short-term survivors, was used for additional validation. The independent validation was performed by combining qualitative immunohistochemistry and quantitative protein expression profiling. Results: B cells were found to be significantly increased in the TIME of longterm survivors by gene expression profiling (p=0.018). The high tumor infiltration of B cells was confirmed by spatial protein profiling in the discovery and the validation cohorts (p=0.002 and p=0.01, respectively). The higher number of infiltrated B cells was found mainly in the stromal compartments of PDAC samples and was exclusively found within tumor cells in long-term survivors. Conclusion: This is the first comprehensive study that connects the immune landscape of gene expression profiles and protein spatial infiltration with the survivorship of PDAC patients. We found a higher number and a specific location of B cells in TIME of long-term survivors which emphasizes the importance of B cells and B cell-based therapy for future personalized immunotherapy in PDAC patients. [ABSTRACT FROM AUTHOR]

This work aimed to purify the proteins that cause blood coagulation in the venom of the Iranian Echis carinatus snake species in a comprehensive manner. Gel filtration chromatography (GFC), Ion exchange chromatography (IEC), and Size Exclusion High-Performance Liquid Chromatography (SEC-HPLC) were utilized in the purification of the coagulation factors. The prothrombin clotting time (PRCT) and SDS-PAGE electrophoresis were performed to confirm the coagulative fractions. The fraction with the shortest coagulation time was selected. The components of this designated fraction were identified through matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF) following thorough purification. Circular dichroism (CD) was employed to determine the second structure of the coagulation factor. The crude venom (CV) was analyzed and had a total protein concentration of 97%.Furthermore, the PRCT of the crude venom solution at a concentration of 1 mg/ml was determined to be 24.19 ± 1.05 s. The dosage administered was found to be a factor in the venom's capacity to induce hemolysis. According to CD analysis, the protein under investigation had a helical structure of 16.7%, a beta structure of 41%, and a turn structure of 9.8%. CHNS proved that the purified coagulant protein had a Carbon content of 77.82%, 5.66% Hydrogen, 3.19% Nitrogen, and 0.49% Sulphur. In the present investigation, a particular type of snake venom metalloproteinase (SVMP) has undergone the process of purification and characterization and has been designated as EC-124. This purified fraction shows significant efficacy as a procoagulant. Our findings have shown that this compound has a function similar to factor X and most likely it can cause blood coagulation by activating factor II (FII).

Abstract Background Health-promoting behaviors have been noticed recently as one of the most critical factors in raising life expectancy, which can be formed during adolescence. Thus, the current scoping review aimed to identify the key factors affecting health-promoting behaviors among adolescents. Methods In this scoping review, we searched multiple English online databases, including PubMed, Web of Science, Science Direct, ProQuest, and Scopus, for articles published between 1977 and 2020. All eligible studies describing health-promoting behaviors in adolescents were included. We followed the JBI guideline for conducting a scoping review and increasing the study’s rigor. Extracted data were synthesized through inductive approaches. Results A total of 3199 articles were identified during the first phase. After the screening process, 20 articles were found eligible for final inclusion. Educational factors (individualized education and school health promotion programs), Economic factors (income, economic incentives and national health insurance), Social factors (support system, responsibility and peers), Spiritual, Psychological and Personal factors (gender, family structure, patterns of living, and medical problems) were found effective in health-promoting behaviors among adolescents. Conclusions Health-promoting behaviors among adolescents require careful consideration. The current review identified some fundamental factors affecting health-promoting behaviors in adolescents. Based on the findings, it is recommended that policymakers and healthcare providers develop several interventions based on identified factors to increase adolescent’s health-promoting behaviors among adolescents.

Inspired by Williamson’s knowledge-first epistemology, I propose a position on practical knowledge that can be called the ‘know-how-first view’; yet whereas Williamson is one of the pioneers of the new intellectualism about know-how, I employ the know-how-first view to argue against intellectualism and instead develop a know-how-first version of anti-intellectualism. Williamson argues that propositional knowledge is a sui generis unanalyzable mental state that comes first in the epistemic realm; in parallel, I propose that know-how is a sui generis unanalyzable power that comes first in the practical realm. To motivate this suggestion, I put forward two arguments: (1) drawing on dispositionalist ideas, I argue that the practical component of know-how is unanalyzable; (2) based on an investigation of the natures of intentionality and intelligence, I argue that know-how is prior to intentional and intelligent abilities in the order of explanation of agential action. Deploying this know-how-first anti-intellectualism, I then set out know-how-first solutions to two challenging problems for anti-intellectualism: the sufficiency problem and the necessary condition problem. [ABSTRACT FROM AUTHOR]

It has been argued that virtue reliabilism faces difficulties in explaining why the "because-of" relation between true belief and the relevant competence is absent in Gettier cases. However, prominent proponents of this view such as Sosa and Turri suggest that these difficulties can be overcome by invoking the manifestation relation. In his Judgment and Agency, Sosa supports this claim based on an analogy between Gettier cases and what in the literature on dispositions is called mimic cases. While there are initial motivations for the alleged analogy, I claim there are at least two arguments against it: 1. there is an asymmetry in the nature of context-sensitivity between the problem of mimicking and the Gettier problem; 2. while causal deviance and double luck can be found in both the mimic case and the Gettier case, their causal processes are different in important respects, making it challenging to see them as both falling under the same category. If these arguments are on the right track, the upshot is that virtue reliablists such as Sosa and Turri who describe the "because-of" relation in terms of the manifestation relation still owe us an account of why the manifestation relation is absent in Gettier cases. [ABSTRACT FROM AUTHOR]

BACKGROUND: Nursing students are at risk of violence. When nursing students encounter violence in clinical environments, their functional abilities and their desire to stay in this profession are impressed. This research determines the relationship between violence in the workplace and the attitude towards the nursing profession (NP) among Iranian nursing students in 2021. MATERIALS AND METHODS: This cross-sectional research was conducted as an online survey in 2021, and 512 nursing students were selected using the convenience method. Data collection tools included a demographic information form, a professional attitude questionnaire, and a workplace violence questionnaire. Chi-square tests, one-way analysis of variance (ANOVA), sample t-test, and multiple regression were used to analyze the data. RESULTS: The average age was 23.19 ± 4.58 years. Students with high violence experiences had a more negative attitude towards the profession (P = 0.000). The perpetrators of violence were mainly hospital employees (52.42). It was followed by patients and companions (45.86) and instructors (43.95). A significant relationship was found between gender (P = 0.03), age (P = 0.00), academic year (P = 0.005), and marital status (P = 0.008) with attitude towards profession. The findings of this research showed that the variables of gender (boy) and age have an inverse effect on the attitude with a predictive power of 37%; however, the attitude towards the profession becomes positive by increasing the academic year. CONCLUSION: This research provides data to nursing schools to develop intervention and prevention strategies to support students in dealing with the experience of violence. Holding related training courses in violence prevention techniques reduces the other party’s anger and can help improve the situation.

Abstract Introduction Achieving good death is among the objectives of palliative care in patients with cancer. There should be an instrument for evaluating the quality of palliative care provided by family members at the end of life. This study was done to assess the psychometric properties of good death inventory- short form according to the perspective of family of patients with cancer. Method This methodological study was done in 2022 at two hospitals in Tehran. The translation was done via forward-backward method. Face validity was examined through cognitive interviewing with 10 family members. The content validation, were used by assessment the opinions of 10 palliative care specialists. The construct validity was explored through exploratory factor analysis and examination of convergent validation with care evaluation scale 2.0, as well as inspection of correlation by answering two general questions of satisfaction with treatment and end of life quality of life. The scale’s reliability, internal consistency was calculated using Cronbach’s alpha coefficient and stability via test-retest. Results Overall, 204 family members of patients with cancer were included. In the exploratory factor analysis, three factors of peace, hope, and value as well as quality of care were extracted with cumulative variance of 41.8%.A significant and suitable correlation between the total scores of the participants Good death inventory-short form and care evaluation scale2.0 (r = 0.459, P

Abstract The target coverage problem is considered as one of the major issues in directional sensor networks (DSNs), which is caused by the nature of these networks, including their limited angle of view. Due to the fault tolerance characteristic of some coverage applications, the target coverage is required to be performed using multiple sensors. This challenge is discussed in the literature under the title of k‐coverage problem. Under certain conditions, the number of sensors may suffer some changes due to various factors such as power depletion of the sensors, sensors' malfunctioning, and harshness of the environment. This can result in unavailability of adequate sensors for providing k‐coverage for all targets. The network suffering from such problem is referred to as under‐provisioned network. This paper was aimed at studying such networks by adopting the network conditions to the real environments. To solve this problem, the present paper proposes a hybrid model integrating the genetic algorithm (GA) and Tabu search (TS). The proposed algorithm generally aimed to identify a subset of sensors with appropriate working directions in order to provide a balanced coverage for all the targets available in the network. In order to evaluate the performance of the algorithm several experiments were conducted and the results have been compared with greedy and learning automat‐abased algorithms. . The results of the experiments show the superiority of the algorithm.

Abstract Recent analyses of public microbial genomes have found over a million biosynthetic gene clusters, the natural products of the majority of which remain unknown. Additionally, GNPS harbors billions of mass spectra of natural products without known structures and biosynthetic genes. We bridge the gap between large-scale genome mining and mass spectral datasets for natural product discovery by developing HypoRiPPAtlas, an Atlas of hypothetical natural product structures, which is ready-to-use for in silico database search of tandem mass spectra. HypoRiPPAtlas is constructed by mining genomes using seq2ripp, a machine-learning tool for the prediction of ribosomally synthesized and post-translationally modified peptides (RiPPs). In HypoRiPPAtlas, we identify RiPPs in microbes and plants. HypoRiPPAtlas could be extended to other natural product classes in the future by implementing corresponding biosynthetic logic. This study paves the way for large-scale explorations of biosynthetic pathways and chemical structures of microbial and plant RiPP classes.

This study aimed to evaluate the opinions of the librarians of Semnan public libraries on information consulting and examine the feasibility and requirements of setting up information consulting services (ICSs) in public libraries, which has become even more important during the coronavirus pandemic. The present study adopted a survey method using the interview technique. The research population included all librarians of Semnan public libraries. The findings showed that more than 75% of the librarians of Semnan public libraries were willing to set up the ICSs in the public library. Librarians of Semnan public libraries believed that specialized human resources hardware and software facilities and funding are required to set up the ICSs in public libraries. knowledge and skills, personality traits, and communication and public relations techniques are mentioned as the characteristics of information consultants. According to the librarians, the ICSs increase the users of libraries, improve library services, provide job satisfaction for librarians, and increase income for the library. They considered these factors as the top benefits of setting up information consulting. Given the willingness of young librarians with less experience, who are educated in Library and Information Science (LIS), to set up the ICSs in Semnan public libraries, they have the potential to provide ICSs in libraries by setting up an information consulting desk. Training of these librarians can provide the necessary basis for setting up the ICSs and information consulting clinics, promoting the position of the LIS field in the community, and leading to the employment market for graduates of LIS. This is the first study on public libraries in Iran. The importance of the subject can be a prelude to launching information consulting services in Iranian public libraries during the coronavirus.

Introduction: Providing a stable hemodynamic in extubation is important. We aimed to compare the effect of two different doses of intravenous labetalol on the cardiovascular response to endotracheal extubation. Methods: This double-blind randomized trial was performed in 2019-2020 in Isfahan on 72 patients under general anesthesia. Patients using Random Allocation software were divided into three groups and received 0.1 mg/ kg or 0.2 mg/kg labetalol and normal saline intravenously 10 min before extubation. Hemodynamic variables including heart rate (HR), Systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and peripheral blood oxygen saturation(SPO2) was measured for each patient before induction of anesthesia and 1, 3, 5 and 10 minutes after extubation. Results: SBP changes were significantly different between the three groups at 1, 3, 5 minutes after extubation (P=0.036, P=0.009, P=0.005 respectively) unlike the other two groups, patients who received 0.2 mg/kg labetalol did not have an increase in DBP after extubation (P>0.05). DBP was significantly different between the three groups one minute after extubation (P=0.03). At minutes 1 and 3 following extubation, there was a significant difference in the MAP between the three groups. (P=0.029 and P=0.012 respectively). There was no significant difference between the three groups regarding heart rate (P>0.05). Conclusion: Tracheal extubation is usually associated with an increase in hemodynamic variables. Both doses of labetalol attenuate the hemodynamic response accompanying tracheal extubation. But labetalol 0.2 mg/kg in reducing hemodynamic response to extubation acted more effectively than labetalol 0.1mg/kg.

NK cells are defined as the major components of the immunological network which exerts defense against tumors and viral infections as well as regulation of innate and adaptive immunity, shaped through interaction with other cells like T cells. According to the surface markers, NK cells can be divided into CD56dim NK and CD56bright NK subsets. CD56bright NK cells usually are known as regulatory NK cells. Once the immune system loses its self-tolerance, autoimmune diseases develop. NK cells and their subsets can be altered during autoimmune diseases, indicative of their prominent regulatory roles and even pathological and protective functions in autoimmune disorders. In this regard, activation of CD56bright NK cells can suppress activated autologous CD4+ T cells and subsequently prevent the initiation of autoimmunity. In this review article, we summarize the roles of regulatory NK cells in autoimmune disease occurrence which needs more research to uncover their exact related mechanism. It seems that targeting NK cells can be a promising therapeutic platform against autoimmune diseases.

Abstract Finding alignments between millions of reads and genome sequences is crucial in computational biology. Since the standard alignment algorithm has a large computational cost, heuristics have been developed to speed up this task. Though orders of magnitude faster, these methods lack theoretical guarantees and often have low sensitivity especially when reads have many insertions, deletions, and mismatches relative to the genome. Here we develop a theoretically principled and efficient algorithm that has high sensitivity across a wide range of insertion, deletion, and mutation rates. We frame sequence alignment as an inference problem in a probabilistic model. Given a reference database of reads and a query read, we find the match that maximizes a log-likelihood ratio of a reference read and query read being generated jointly from a probabilistic model versus independent models. The brute force solution to this problem computes joint and independent probabilities between each query and reference pair, and its complexity grows linearly with database size. We introduce a bucketing strategy where reads with higher log-likelihood ratio are mapped to the same bucket with high probability. Experimental results show that our method is more accurate than the state-of-the-art approaches in aligning long-reads from Pacific Bioscience sequencers to genome sequences.

Background: During the COVID-19 pandemic, Iran’s mass education centers, which house a large number of trainees, encountered numerous difficulties in managing the disease. Understanding these challenges can help manage future pandemics. This study was conducted to explore the challenges of managing the COVID-19 pandemic in mass education centers in Iran. Methods: In this qualitative study, we used a qualitative content analysis of data collected from June to October 2022 in eight mass education centers in Iran. Semi-structured interviews (n=19) were used for data collection. Results: Four main themes and eleven subthemes were identified: The essence of dormitory life (Subthemes included: "The high population density in the dormitory", "Public toilets" and, Interprovincial travel), the inflexibility of the profession (Subthemes included: "Inapplicable health protocols" and, "Inflexible rules and regulations"), Negligence (Subthemes included: "Not adhering to health protocols", "Non acceptance of illness", and "High-risk taking"), and Weakness of health-care platform (Subthemes included: "shortage of healthcare facilities", "Lack of specialized personnel", and "The uni-dimensional aspect of healthcare services"). Conclusion: We identified several challenges that made the handling of COVID-19 difficult in Iran’s centers for mass education. These findings can help future research in addressing the challenges and designing adaptable plans for pandemic management in mass education centers.

In this article published in Cell J, Vol 17, No 1, 2015, on pages 159-162, the authors found that the affiliation of secondauthor in address 2 was missed during the formatting of the paper. Therefore, we corrected it.The authors would like to apologize for any inconvenience.

Unusual levels of agricultural product waste are becoming one of the issues and dangers that human societies face in their efforts to achieve food security. Therefore, reducing agricultural product waste is one of the main strategies for the optimal use of production resources and support food security. In this study, a multilevel Bayesian technique was used to examine the characteristics of customers and the effects of marketing mix on the waste of selected agricultural products—a subgroup of fruits and vegetables in Mashhad, Iran. Based on this, 368 consumers (at the first level), 53 fruit and vegetable markets (at the second level), and 3 main supply centers of fruit and vegetables in the city (at the third level) were evaluated using the Bayesian multilevel model. The results showed that approximately 56% of food waste variance was caused by differences between consumers, 29% is due to the differences between fruit and vegetable markets, and almost 14% is due to the differences between the main supply centers of Mashhad. Also, the effects of the marketing mix showed that the place of distribution of agricultural products always has an increasing effect on the waste of agricultural products. Moreover, increasing the price of agricultural products reduces waste by consumers and keeps the consumer away from unnecessary purchases. The product factor also has an increasing effect on the waste of agricultural products, and consumers are encouraged to consume more and create more waste. A good way to reduce agricultural product waste is to use solutions that slow down the spoilage process and extend the shelf life of fruit and vegetables. Using an appropriate marketing mix and considering the characteristics of consumers can also control the waste of agricultural products.

The restriction on the development of agricultural fields due to the population growth and the conversion of arable land to residential one has caused the failure in the production of macular crops. Also, the increase in greenhouse gases especially resulting from livestock on farms and also urban life and the resulting climate change; have posed major environmental challenges to almost all human activities over the years. Currently, modern biotechnology can be used for sustainable development in agricultural productivity and related industries to solve human problems in diseases, poverty, pollution, and the current food crisis. Because the traditional systems can no longer meet the world's food needs. Therefore, there is an urgent need to use modern biotechnology to accelerate the development of executive programs.

Abstract As antibiotic resistance is becoming a major public health problem worldwide, one of the approaches for novel antibiotic discovery is re-purposing drugs available on the market for treating antibiotic resistant bacteria. The main economic advantage of this approach is that since these drugs have already passed all the safety tests, it vastly reduces the overall cost of clinical trials. Recently, several machine learning approaches have been developed for predicting promising antibiotics by training on bioactivity data collected on a set of small molecules. However, these methods report hundreds/thousands of bioactive molecules, and it remains unclear which of these molecules possess a novel mechanism of action. While the cost of high-throughput bioactivity testing has dropped dramatically in recent years, determining the mechanism of action of small molecules remains a costly and time-consuming step, and therefore computational methods for prioritizing molecules with novel mechanisms of action are needed. The existing approaches for predicting bioactivity of small molecules are based on uninterpretable machine learning, and therefore are not capable of determining known mechanism of action of small molecules and prioritizing novel mechanisms. We introduce InterPred, an interpretable technique for predicting bioactivity of small molecules and their mechanism of action. InterPred has the same accuracy as the state of the art in bioactivity prediction, and it enables assigning chemical moieties that are responsible for bioactivity. After analyzing bioactivity data of several thousand molecules against bacterial and fungal pathogens available from Community for Open Antimicrobial Drug Discovery and a US Food and Drug Association-approved drug library, InterPred identified five known links between moieties and mechanism of action.

BackgroundThe health system was challenged during the COVID-19 pandemic. Nurses, as part of the health system, were expected to manage themselves in a situation where everyone was in crisis and to be able to do their work quietly and calmly. This study was conducted to show how Iranian nurses faced the COVID-19 crisis.MethodsIn a qualitative content analysis study, 16 participants, including eight nurses, five supervisors, and three head nurses of a university hospital in Tehran, Iran, were interviewed between February and December 2020. Using purposive sampling, nurses who were working with patients with COVID-19 were selected to be involved. Data were analyzed using MAXQDA 10 software, and codes were categorized based on similarities and differences.FindingData analysis revealed 212 codes. These codes were classified based on similarities and differences in 16 categories, and four main themes emerged: unpreparedness, positive adaptation, negative coping, and reorganization.ConclusionSince nurses are on the frontline in times of biological disaster, the COVID-19 pandemic provided an opportunity to demonstrate the role of nurses in reducing the burden of disease, identifying problems and opportunities, and planning appropriate interventions.

We present a 33-year-old male case who underwent pathologic oral surgery. The mydriasis was completely resolved approximately 7 h after the end of the operation without any medical or surgical interventions. Neuro-ophthalmic exam showed that there was no ptosis or ophthalmoplegia. There was no clinical evidence for a Horner syndrome. Meticulous ophthalmological examination, especially pupillary examination, plays an important role in diagnosis and management of neurological disease.

In this article, the vibration and buckling of a double-layer Graphene sheet (DLGS) coupled with a piezoelectric nanoplate through an elastic medium (Pasternak and Winkler models) are investigated. DLGS are subjected to biaxial in-plane forces and van der Waals force existing between each layer. Polyvinylidene fluoride (PVDF) piezoelectric nanoplate is subjected to an external electric potential. For the sake of this study, sinusoidal shear deformation theory of orthotropic plate expanded with Eringen’s nonlocal theory is selected. The results indicate that nondimensional frequency and nondimensional critical buckling load rise when the ratio of width to thickness increases. Furthermore, incrementing the effect of elastic medium parameter results in increasing the stiffness of the system and, consequently, rising nondimensional frequency and critical buckling load.

Background: The community participation concept has different implications for various individuals. Methods: This research was Community-Based Participatory Research (CBPR), which was done in Yazd. The settlement area with a population of 16,000 people is located on the western outskirts of Yazd. With the implementation of health transformation programs in the 11th government, first, the health base in 2016 and then, Dr. Malekafzali Comprehensive Health Services Center in this area have been set up and started to work in 2016 to provide various health services to the residents of this area. Considering the potentials of this neighborhood, including high social cohesion and the existence of a dynamic and popular non-governmental organization, since 2017, this place has been a candidate for the implementation of empowerment and optimal development of neighborhood health (Tabassom project). The steps of implementing the optimal Health development plan (Tabasaom) involved five steps of the area identification, organizing, empowerment, requirement assessment, and intervention and action. The stage of intervention and action was covered in this article. Results: Most of the problems that appeared in this study were non-health issues, encompassing a wide range of issues in other social, cultural, and economic fields. Conclusion: Identified issues consisted of a wide variety of problems that were needed to be resolved through interdisciplinary activities, the support of managers and officials, and the active participation of the community.

The quality of sleep changes with age and a reduction in sleep duration is observed in the elderly. Mizaj (temperament) is a fundamental theory in traditional Persian medicine. It is defined as all sides of personality describing a person’s morphological, psychological, and physiological situations. Although the evidence showed that temperament and sleep quality are related, no research has evaluated this issue statistically so far. Hence, this study aimed to evaluate the correlation between sleep quality and temperament. This cross-sectional study included 1,359 elderly people (aged 60) in Tabriz, Iran in 2019. An interviewer accomplished the Tabriz Older People Survey (TOPS), Temperament and Sleep Quality Test, and Pittsburgh Sleep Quality Index (PSQI). A p value less than 0.05 was considered as significant. Our findings indicated that there was a significant relationship between global PSQI and wet temperament (p value = 0.036). In addition, hot-cold temperament was statistically related to demographical items like gender, marital status, and occupational status (p value ≤ 0.05). A similar statistically significant relationship was also seen for wet-dry temperament (p value ≤ 0.05). Moreover, the global PSQI score in female and illiterates subjects and those who lived in detached houses was high, meaning that the sleep quality was poor in these groups. According to our findings, Mizaj affects the quality of sleep in older adults. Also, living conditions of the elderly, such as gender, type of residence, level of education, and job, affect the Mizaj of the elderly people.

Iran has one of the highest death rates from COVID-19 among Middle Eastern countries. In addition to having a better disease registration system compared to neighboring countries, many factors including economic conditions, have played an important role in increasing the number of mortality rate. This is while that during the Corona pandemic, Iran has been undergo severe sanctions by the United States, that has faced this country with a severe economic crisis. Considering the role of sanction on the country's health management in our study, we examined Iran's management plans against the Corona pandemic and the effect of sanctions on it. Quarantine and corona restrictions, on the one hand, and international sanctions, on the other hand, have put double pressure on the Iranian government. Although drugs and basic medical equipment are exempted from economic sanctions, direct and indirect effects of the sanctions have limited Iran's banking system and created widespread restrictions in the fields of trade, production, and investment. Fortunately, despite the sanctions, many hospitals had an appropriate performance in line with the health promotion program. It is obvious that economic sanctions have severe and harmful effects on public health and have led to poor health consequences in Iran, but attention to planning, standards and improving the quality of the hospital is an important issue in Corona management. Despite multiple mutations, this virus is likely to face with a more dangerous virus in the world future. Now, it is time to take appropriate management measures to remove these sanctions by relying on international solutions and interactions.

Background Classification of human behavior from brain signals has potential application in developing closed-loop deep brain stimulation (DBS) systems. This paper presents a human behavior classification using local field potential (LFP) signals recorded from subthalamic nuclei (STN). Method A hierarchical classification structure is developed to perform the behavior classification from LFP signals through a multi-level framework (coarse to fine). At each level, the time-frequency representations of all six signals from the DBS leads are combined through an MKL-based SVM classifier to classify five tasks (speech, finger movement, mouth movement, arm movement, and random segments). To lower the computational cost, we alternatively use the inter-hemispheric synchronization of the LFPs to make three pairs out of six bipolar signals. Three classifiers are separately trained at each level of the hierarchical approach, which lead to three labels. A fusion function is then developed to combine these three labels and determine the label of the corresponding trial. Results Using all six LFPs with the proposed hierarchical approach improves the classification performance. Moreover, the synchronization-based method reduces the computational burden considerably while the classification performance remains relatively unchanged. Comparison with existing methods Our experiments on two different datasets recorded from nine subjects undergoing DBS surgery show that the proposed approaches remarkably outperform other methods for behavior classification based on LFP signals. Conclusion The LFP signals acquired from STNs contain useful information for recognizing human behavior. This can be a precursor for designing the next generation of closed-loop DBS systems. [ABSTRACT FROM AUTHOR]

In recent decades, the global increase in the demand for food and the increasing growth of the world population has caused an inevitable transition from traditional to advanced agriculture and the use of new technologies in the production of food and agricultural products. One of the new achievements of biotechnology is the production and use of genetically modified plants. The benefits of genetically modified crops can be seen well beyond the farm as well, from helping to conserve natural resources to fighting climate change. Identifying the factors that influence people’s acceptance of genetically modified (GM) foods can inform industries and policymakers regarding their innovation trajectories, as well as policy development and implementation. Therefore, the current research evaluates the effect of the marketing mix and other effective factors on the consumption of genetically modified (GM) edible oil in Mashhad, Iran. The required information was collected by completing 390 questionnaires and using the available sampling method in 2022. Factors affecting the probability of consumers making a decision to consume GM edible oil and the consumption amounts of this oil were analyzed through Heckman’s two-stage Tobit model using the STATA 16 software package. The results showed that factors affecting the intention of consuming GM edible oils are different from factors affecting the amount of consumption of GM edible oils. Moreover, selected marketing mixes have a significant effect on the amount of consumption of GM edible oils, and therefore, policy-makers can influence the consumption of GM edible oils by using marketing tools. The effect of household monthly income on the consumption of GM edible oil is also negative and significant, which shows that households with higher incomes have less consumption of GM edible oils. Based on the results, trust in the government has a positive and significant effect on the consumption of GM edible oil, so when consumers have trust in their government about GM food products, the consumption of GM edible oil will increase. Therefore, it is suggested that the country’s food security authorities gain the trust of consumers by clarifying the production process of GM products and holding scientific debates between the proponents and opponents of the production and consumption of GM food products in order to express the advantages and disadvantages of these products to inform consumers and help them choose between products.