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BACKGROUND: Guided by the reserve capacity model, we evaluated the unique relationships between socioeconomic status (SES), reserve capacity (helplessness, self-efficacy, social support), and negative emotions on pain in patients with Rheumatoid Arthritis (RA). METHODS: The secondary analysis used baseline, cross-sectional data from 106 adults in a clinical trial comparing behavioral treatments for RA. Patients were eligible if they were ≥ 18 years old, met the ACR criteria for RA (determined by study rheumatologist), had stable disease and drug regimens for 3 months, and did not have a significant comorbid condition. Structural equation modeling evaluated the direct effects of SES, reserve capacity (helplessness- Arthritis Helplessness Index, self-efficacy -Personal Mastery Scale, social support- Social Provisions Scale) and negative emotions (stress and depressive symptoms- Perceived Stress Scale and Hamilton Depression Rating Scale) on pain (Rapid Assessment of Disease Activity in Rheumatology-RADAR & visual analog scale-VAS), and the indirect effects of SES as mediated by reserve capacity and negative emotions. The SEM model was evaluated using multiple fit criteria: χ2 goodness-of-fit statistic, the comparative fit index (CFI), the standardized root mean square residual (SRMR), and the root mean square error of approximation (RMSEA). RESULTS: Participants were mostly female (85%), 55.45 years old on average, self-identified as white (61%), Hispanic (16%), black (13%), and other (10%), and had RA for an average of 10.63 years. Results showed that low SES contributed to worse pain, through lower reserve capacity and higher negative emotions. Mediational analyses showed that reserve capacity and negative emotions partially mediated the effect of SES on pain. The final model explained 39% of the variance in pain. CONCLUSIONS: The findings indicate that lower SES was related to worse clinical pain outcomes and negative emotions and reserve capacity (helplessness, social support, and self-efficacy) mediated the effect of SES on pain. A primary limitation is the small sample size; future studies should evaluate this model further in larger, longitudinal approaches. Interventions that target negative emotions in patients with low SES may facilitate better pain control with RA. TRIAL REGISTRATION: clinicaltrials.gov NCT00072657 01/02/2004 20/03/2009.

Fatemeh Hemmati,1,2 Roya Salehi,3 Reza Ghotaslou,4 Hossein Samadi Kafil,3,4 Alka Hasani,4 Pourya Gholizadeh,1,2 Roghayeh Nouri,1,2 Mohammad Ahangarzadeh Rezaee1,4 1Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 2Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran; 3Drug Applied Research Center, Tabriz University of Medical Science, Tabriz, Iran; 4Department of Medical Microbiology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, IranCorrespondence: Mohammad Ahangarzadeh RezaeeImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, IranTel + 98-4133364661Email rezaee.mohammad@gmail.comAbstract: There has been excessive rate of use of antibiotics to fight Pseudomonas aeruginosa (P. aeruginosa) infections worldwide, which has consequently caused the increased resistance to multiple antibiotics in this pathogen. Due to the widespread resistance and the current poor effect of antibiotics consumed to treat P. aeruginosa infections, finding some novel alternative therapeutic methods are necessary for the treatment of infections. The P. aeruginosa biofilms can cause severe infections leading to the increased antibiotic resistance and mortality rate among the patients. In this regard, there are no approaches that can efficiently manage these infections; therefore, novel and effective antimicrobial and antibiofilm agents are needed to control and treat these bacterial infections. Quorum sensing inhibitors (QSIs) or quorum quenchings (QQs) are now considered as potential therapeutic alternatives and/or adjuvants to the current failing antibiotics, which can control the virulence traits of the pathogens, so as a result, the host immune system can quickly eliminate bacteria. Thus, the aims of this review article were presenting a brief explanation of the research reports on the natural and synthetic QSIs of P. aeruginosa, and the assessment of the current understanding on the QS mechanisms and various QQ strategies in P. aeruginosa.Keywords: Pseudomonas aeruginosa, quorum quenchings, quorum sensing, nanoparticle, natural compounds, synthetic compounds

Pourya Gholizadeh,1,2 Rohollah Safari,3 Parham Marofi,4 Elham Zeinalzadeh,4 Pasquale Pagliano,5 Khudaverdi Ganbarov,6 Silvano Esposito,5 Ehsaneh Khodadadi,7 Mehdi Yousefi,8 Hossein Samadi Kafil7 1Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran; 2Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 3Department of Microbiology, Imam Reza Hospital, Tabriz University of Medical Sciences, Tabriz, Iran; 4Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 5Department of Medicine, University of Salerno, Salerno, Italy; 6Department of Microbiology, Baku State University, Baku, Republic of Azerbaijan; 7Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 8Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, IranCorrespondence: Hossein Samadi Kafil Tel +98-9127184735Fax +98-4133364661Email Kafilhs@tbzmed.ac.irIntroduction: Coronavirus disease 2019 (COVID-19) emerged in China and spread worldwide. In this study, we assessed the characteristics of markers of the liver in patients with COVID-19 to provide new insights in improving clinical treatment.Patients and Methods: We recruited 279 patients who confirmed COVID-19 and the data of liver biomarkers and complete blood count of patients were defined as the day onset when the patients admitted to the hospital.Results: The average of LDH value was 621.29 U/L in all patients with COVID-19, and CPK was 286.90 U/L. The average AST was 44.03 U/L in all patients, and ALT was 31.14 U/L. The AST/ALT ratio was 1.64 in all patients. The measurement of CRP was increased by 79.93% in all patients. Average ALT and AST values of patients with elevated ALT were significantly increased in comparison to patients with normal ALT (P-value = 0.001), while AST/ALT ratio was significantly decreased compared to patients with normal ALT (P-value= 0.014). In addition, the average LDH of patients with elevated ALT was significantly increased compared to patients with normal ALT (P-value = 0.014).Conclusion: Hepatic injury and abnormal liver enzymes related to COVID-19 infection is an acute non-specific inflammation alteration.Keywords: SARS-CoV-2, COVID-19, hepatic injury, liver enzymes, aminotransferases

Alka Hasani,1– 3 Elghar Soltani,1,2 Mohammad Ahangarzadeh Rezaee,1,2 Tahereh Pirzadeh,2 Mahin Ahangar Oskouee,2 Akbar Hasani,4 Pourya Gholizadeh,2 Arezoo Noie Oskouie,2 Ehsan Binesh5 1Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 2Department of Bacteriology and Virology, Faculty of Medicine, Tabriz University of Medical, Sciences, Tabriz, Iran; 3Sina Hospital, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran; 4Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 5Department of Infectious Disease, School of Medicine, Shahroud University of Medical Science, Shahroud, IranCorrespondence: Elghar SoltaniImmunology Research Center and Department of Bacteriology and Virology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, IranTel +989366295410Fax +984133808693Email elghar_soltani@yahoo.comObjective: Klebsiella pneumoniae, one of the clinical superbugs, causes diverse infections because of its variable capsular antigens. This study focused on K. pneumoniae and aimed to assess any correlation between capsular serotype, capsule-associated virulence genes, and evaluate its resistance to conventional antibiotics in order to gain insight into any regional differences.Materials and Methods: A total of 61 K. pneumoniae collected from various clinical specimens were confirmed genotypically. Clinical and demographic data for all patients were reviewed. All isolates were subjected to antimicrobial susceptibility tests. Capsular serotyping and capsule-associated virulence genes were studied using the molecular method.Results: All typeable isolates were typed into K5, K20, and K54 serotypes, and among them, K54 was observed to be predominant. The most common capsule-associated virulence genes comprised uge (93.4%), ycfM (91.8%), and wabG (88.5%), while wcaG (29.5%) and rmpA (21.3%) were noted at much lower prevalence rates. The gene wcaG was significantly associated with K54 positive isolates (p = 0.001), while rmpA was associated with K20 positive isolates (p = 0.01).Conclusion: Serotype K54 had a high frequency in isolates collected from patients with pulmonary diseases, while serotype K20 was associated with burn patients. Carbapenems and levofloxacin were the best therapeutic options for the treatment of infections with serotypes K20 and K54.Keywords: Klebsiella pneumoniae, capsular serotype, virulence factor, extended-spectrum beta-lactamase, multidrug-resistance, multiplex-PCR

Pourya Gholizadeh,1,2 Şükran Köse,3 Sounkalo Dao,4 Khudaverdi Ganbarov,5 Asghar Tanomand,6 Tuba Dal,7 Mohammad Aghazadeh,8 Reza Ghotaslou,8 Mohammad Ahangarzadeh Rezaee,8 Bahman Yousefi,8 Hossein Samadi Kafil2,9 1Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran; 2Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 3Department of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Tepecik Training and Research Hospital, İzmir, Turkey; 4Faculté de Médecine, de Pharmacie et d’Odonto-Stomatologie (FMPOS), University of Bamako, Bamako, Mali; 5Department of Microbiology, Baku State University, Baku, Republic of Azerbaijan; 6Department of Basic Sciences, Maragheh University of Medical Sciences, Maragheh, Iran; 7Department of Clinical Microbiology, Faculty of Medicine, Ankara Yildirim Beyazit University, Ankara, Turkey; 8Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 9Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, IranCorrespondence: Hossein Samadi KafilDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, IranTel +98 9127184735Fax +98 4133364661Email Kafilhs@tbzmed.ac.irAbstract: Rapid emergence of antibiotic-resistant bacteria has made it harder for us to combat infectious diseases and to develop new antibiotics. The clustered regularly interspaced short palindromic repeats – CRISPR-associated (CRISPR-Cas) system, as a bacterial adaptive immune system, is recognized as one of the new strategies for controlling antibiotic-resistant strains. The programmable Cas nuclease of this system used against bacterial genomic sequences could be lethal or could help reduce resistance of bacteria to antibiotics. Therefore, this study aims to review using the CRISPR-Cas system to promote sensitizing bacteria to antibiotics. We envision that CRISPR-Cas approaches may open novel ways for the development of smart antibiotics, which could eliminate multidrug-resistant (MDR) pathogens and differentiate between beneficial and pathogenic microorganisms. These systems can be exploited to quantitatively and selectively eliminate individual bacterial strains based on a sequence-specific manner, creating opportunities in the treatment of MDR infections, the study of microbial consortia, and the control of industrial fermentation.Keywords: antibiotic-resistant bacteria, CRISPR-Cas system, sequence-specific manner, resensitization, genome editing

Zahra Aghapour,1,2 Pourya Gholizadeh,3 Khudaverdi Ganbarov,4 Abed Zahedi Bialvaei,5 Suhad Saad Mahmood,6 Asghar Tanomand,7 Mehdi Yousefi,8 Mohammad Asgharzadeh,9 Bahman Yousefi,9 Hossein Samadi Kafil11Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 2Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran; 3Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 4Department of Microbiology, Baku State University, Baku, Azerbaijan; 5Department of Microbiology, Iran University of Medical Sciences, Tehran, Iran; 6Department of Biotechnology, College of Science, University of Baghdad, Baghdad, Iraq; 7Department of Microbiology, Maragheh University of Medical Sciences, Maragheh, Iran; 8Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 9Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, IranAbstract: Colistin is an effective antibiotic for treatment of most multidrug-resistant Gram-negative bacteria. It is used currently as a last-line drug for infections due to severe Gram-negative bacteria followed by an increase in resistance among Gram-negative bacteria. Colistin resistance is considered a serious problem, due to a lack of alternative antibiotics. Some bacteria, including Pseudomonas aeruginosa, Acinetobacter baumannii, Enterobacteriaceae members, such as Escherichia coli, Salmonella spp., and Klebsiella spp. have an acquired resistance against colistin. However, other bacteria, including Serratia spp., Proteus spp. and Burkholderia spp. are naturally resistant to this antibiotic. In addition, clinicians should be alert to the possibility of colistin resistance among multidrug-resistant bacteria and development through mutation or adaptation mechanisms. Rapidly emerging bacterial resistance has made it harder for us to rely completely on the discovery of new antibiotics; therefore, we need to have logical approaches to use old antibiotics, such as colistin. This review presents current knowledge about the different mechanisms of colistin resistance.Keywords: colistin, Enterobacteriaceae, two-component system, lipid A, mcr genes

Nanoparticle-mediated mRNA delivery has emerged as a promising therapeutic modality, but its growth is still limited by the discovery and optimization of effective and well-tolerated delivery strategies. Lipid nanoparticles containing charged or ionizable lipids are an emerging standard for in vivo mRNA delivery, so creating facile, tunable strategies to synthesize these key lipid-like molecules is essential to advance the field. Here, we generate a library of N-substituted glycine oligomers, peptoids, and undertake a multistage down-selection process to identify lead candidate peptoids as the ionizable component in our Nutshell nanoparticle platform. First, we identify a promising peptoid structural motif by clustering a library of >200 molecules based on predicted physical properties and evaluate members of each cluster for reporter gene expression in vivo. Then, the lead peptoid motif is optimized using design of experiments methodology to explore variations on the charged and lipophilic portions of the peptoid, facilitating the discovery of trends between structural elements and nanoparticle properties. We further demonstrate that peptoid-based Nutshells leads to expression of therapeutically relevant levels of an anti-respiratory syncytial virus antibody in mice with minimal tolerability concerns or induced immune responses compared to benchmark ionizable lipid, DLin-MC3-DMA. Through this work, we present peptoid-based nanoparticles as a tunable delivery platform that can be optimized toward a range of therapeutic programs.

Mobile learning has extensively influenced students' learning gains and motivation due to the hardware and software development of mobile devices and applications in recent decades. On-the-go learning increases the capacity for flexible and joyful learning and guarantees access to the instructional content anywhere, anytime. Despite their potential benefits, the presence of mobile applications in students' every educational activity can be detrimental to their cognitive abilities as misuse or overuse of specific applications may influence students' concentration and critical thinking. One such downside is reported for overusing automatic spelling correction software, known as AutoCorrect (AC), in language learning. Uncertainty regarding the educational values of AC has increased as students' spelling skills and vocabulary knowledge have declined. The main problem this study addressed is examining the relationship between EFL learners' AC use and their vocabulary size; and if their academic self-regulation mediates this association. Data were gathered from 101 foreign language learners who completed the measures of AC use, academic self-regulation, and vocabulary size. The results showed significant positive correlations between AC use, vocabulary size, and self-regulation. Further, testing the model supported a mediating role for self-regulation in the relationship between AC use and vocabulary size, suggesting that AC use can lead to more knowledge of English words in the condition of deploying self-regulatory strategies. The study signifies how academic self-regulation can assist learners in exploiting mobile learning (m-learning) to their advantage and attaining their educational goals more efficiently.

This study investigates the dynamic nature of second language willingness to communicate (L2WTC) exploring the numerous factors that contribute to the construct. Drawing upon the sociocognitive perspective, we analyzed the environmental, individual, and linguistic factors that influence the development of L2WTC in an Iranian language learning context. Data were collected through interviews, stimulated-recall sessions, journal keeping, and observations from an intact class of five students. The environmental factors identified throughout the analysis stage were interlocutor familiarity, topic, teacher influence, task type, discussion dynamics, and family dynamics. The individual factors that were found to play a role in the development of L2WTC included anxiety, motivation, self-confidence, security, shyness, perfectionism, perceived need for the target language use, cultural identity, personality, interest in the topic, fear of failure, seeking validation, cultural adaptation, and emotional state. Finally, perceived and actual linguistic competence were among the linguistic factors that influenced L2WTC. Overall, the findings of this study confirmed that L2WTC is a multifaceted complex system that is constantly reacting to environmental changes.

Abstract Head lice infestations are the most prominent ectoparasitic infection in the world, including Iran, particularly among school children. Recently, numerous cases of infestation have been reported in various provinces of the country. This study aimed to investigate the prevalence of head louse infestations and analyze kdr gene sequences in terms of resistance mutations in the Torbat-e Heydarieh, Mahvelat, and Zaveh cities of Khorasan Razavi Province, Northeast Iran. The data related to the epidemiological and demographic history of head lice populations were extracted from their medical records and analyzed in Excel software. After extracting the genomic DNA, the kdr fragment was amplified using specific primers. The sequences were also analyzed using bioinformatics software. The prevalence of head louse infestations was 1.59% and 1.7% during 2016 and 2017, respectively. Sequence analysis revealed the frequency distribution of two kdr haplotypes, I and V, in the study areas. The increase in head louse infestations in recent years and the simultaneous presence of kdr mutations indicate the need for new treatments and monitoring/controlling resistance to head louse insecticides.

Abstract Background Guided by the reserve capacity model, we evaluated the unique relationships between socioeconomic status (SES), reserve capacity (helplessness, self-efficacy, social support), and negative emotions on pain in patients with Rheumatoid Arthritis (RA). Methods The secondary analysis used baseline, cross-sectional data from 106 adults in a clinical trial comparing behavioral treatments for RA. Patients were eligible if they were ≥ 18 years old, met the ACR criteria for RA (determined by study rheumatologist), had stable disease and drug regimens for 3 months, and did not have a significant comorbid condition. Structural equation modeling evaluated the direct effects of SES, reserve capacity (helplessness- Arthritis Helplessness Index, self-efficacy -Personal Mastery Scale, social support- Social Provisions Scale) and negative emotions (stress and depressive symptoms- Perceived Stress Scale and Hamilton Depression Rating Scale) on pain (Rapid Assessment of Disease Activity in Rheumatology-RADAR & visual analog scale-VAS), and the indirect effects of SES as mediated by reserve capacity and negative emotions. The SEM model was evaluated using multiple fit criteria: χ2 goodness-of-fit statistic, the comparative fit index (CFI), the standardized root mean square residual (SRMR), and the root mean square error of approximation (RMSEA). Results Participants were mostly female (85%), 55.45 years old on average, self-identified as white (61%), Hispanic (16%), black (13%), and other (10%), and had RA for an average of 10.63 years. Results showed that low SES contributed to worse pain, through lower reserve capacity and higher negative emotions. Mediational analyses showed that reserve capacity and negative emotions partially mediated the effect of SES on pain. The final model explained 39% of the variance in pain. Conclusions The findings indicate that lower SES was related to worse clinical pain outcomes and negative emotions and reserve capacity (helplessness, social support, and self-efficacy) mediated the effect of SES on pain. A primary limitation is the small sample size; future studies should evaluate this model further in larger, longitudinal approaches. Interventions that target negative emotions in patients with low SES may facilitate better pain control with RA. Trial registration clinicaltrials.gov NCT00072657 01/02/2004 20/03/2009.

Abstract In the evolving landscape of digital education, the metaverse emerges as a revolutionary platform, particularly within the realm of tourism, viewed through the lens of lifelong learning. This study delves into the integration of the metaverse in the tourism and education sectors in China, aiming to uncover the intricate dynamics of public perceptions and the educational potential of this digital innovation. This research utilizes semantic network and sentiment analysis of social media discussions on China’s Weibo platform to provide a detailed understanding of sentiments toward the metaverse’s impact on tourism education. Semantic Network Analysis explores the complex dialog surrounding the metaverse in the context of lifelong learning. The findings reveal a balanced mix of enthusiasm for the immersive educational opportunities afforded by the metaverse and concerns regarding data privacy, digital addiction, and ethical considerations. It is evident from this duality that a balanced approach is necessary when the metaverse is integrated into tourism and learning while being sensitive to technological opportunities and ethical challenges. The metaverse could be an immersive, interactive learning environment endorsed by modern educational theories, supporting active learning through experience. The metaverse will provide valuable assistance to tourism education, which will help enhance this field through the simulation of real tourism for students to learn, which will foster cultural understanding and meet the demands of a globalized tourism industry. It further recommends that policies and practices should be formulated to ensure equal access, respect for the privacy of every participant, and the ethical use of the technology. This study contributes to the analysis of the potentials and challenges of the metaverse in the tourism and learning industry. It highlights the metaverse as an ‘emerging tool for lifelong learning’ and offers insights into how educators, policymakers, and industry leaders, all aiming at the integration of digital innovations in education, should exploit the metaverse.

Objectives: In response to the growing global concerns regarding antibiotic resistance, we conducted a meta-analysis to assess the prevalence of antibiotic resistance in hypervirulent Klebsiella pneumoniae (hvKp) strains. Methods: We conducted a meta-analysis of antibiotic resistance in the hvKp strains. Eligible studies published in English until April 10, 2023, were identified through a systematic search of various databases. After removing duplicates, two authors independently assessed and analysed the relevant publications, and a third author resolved any discrepancies. Data extraction included publication details and key information on antibiotic resistance. Data synthesis employed a random-effects model to account for heterogeneity, and various statistical analyses were conducted using R and the metafor package. Results: This meta-analysis of 77 studies from 17 countries revealed the prevalence of antibiotic resistance in hvKp strains. A high resistance rates have been observed against various classes of antibiotics. Ampicillin-sulbactam faced 45.3% resistance, respectively, rendering them largely ineffective. The first-generation cephalosporin cefazolin exhibited a resistance rate of 38.1%, whereas second-generation cefuroxime displayed 26.7% resistance. Third-generation cephalosporins, cefotaxime (65.8%) and ceftazidime (57.1%), and fourth-generation cephalosporins, cefepime (51.3%), showed substantial resistance. The last resort carbapenems, imipenem (45.7%), meropenem (51.0%) and ertapenem (40.6%), were not spared. Conclusion: This study emphasizes the growing issue of antibiotic resistance in hvKp strains, with notable resistance to both older and newer antibiotics, increasing resistance over time, regional disparities and methodological variations. Effective responses should involve international cooperation, standardized testing and tailored regional interventions.

Abstract Potatoes (Solanum tuberosum L.) are a significant food crop cultivated around the world. Caffeic acid (CA) can enhance plant growth by promoting antioxidant activity and stimulating root development, contributing to overall plant health and vigor. Cobalt sulfate (CoSO4) boosts plant growth by promoting nitrogen (N) fixation, healthier root development, and chlorophyll synthesis, enhancing photosynthesis and overall plant health. Nanoparticle-coated urea (NPCU) improves nutrient uptake, promoting plant growth efficiency and reducing environmental impact. This study investigates the effects of combining CA, CoSO4, and NPCU as amendments on potatoes with and without NPCU. Four treatments, control, 20 μM CA, 0.15 mg/L CoSO4, and 20 μM CA + 0.15 mg/L CoSO4 with and without NPCU, were applied in four replications using a completely randomized design. Results demonstrate that the combination of CA + CoSO4 with NPCU led to an increase in potato stem length (~ 6%), shoot dry weight (~ 15%), root dry weight (~ 9%), and leaf dry weight (~ 49%) compared to the control in nutrient stress. There was a significant rise in chlorophyll a (~ 27%), chlorophyll b (~ 37%), and total chlorophyll (~ 28%) over the control under nutrient stress also showed the potential of CA + CoSO4 with NPCU. In conclusion, the findings suggest that applying CA + CoSO4 with NPCU is a strategy for alleviating potato nutrient stress.

Cooked rice and the vegetables like lettuce are common kitchen waste, which are carbonaceous materials and have the potential as feedstock for the production of activated carbon. Cooking is similar to hydrothermal treatment (HTC), which might impact the subsequent activation of kitchen waste. In this study, the HTC of lettuce, rice, or their mixture and the activation of the resulting hydrochars were conducted. The results indicated that cross-polymerization between the N-containing organics from lettuce and the sugar derivatives from rice took place in their co-HTC, which significantly increased the hydrochar yield. Activation of the hydrochar from the co-HTC generated the AC with a yield of 2 times that from direct activation of mixed lettuce/rice. However, the co-HTC facilitated aromatization, reducing reactivity with K2C2O4 in activation and producing the AC with main micropores and low specific surface area. Activation of the hydrochar from HTC of rice followed the above trend, while that from lettuce was the opposite. The organics in lettuce were thermally unstable and could not undergo sufficient aromatization. The activation of hydrochar from HTC of lettuce thus generated the AC with the lowest yield, but the highest specific surface area (1684.9 m2/g), abundant mesopores, and superior capability for adsorption of tetracycline. However, the environmental impacts and energy consumption for the production of AC from the hydrochar of lettuce were higher than that from hydrochar of co-HTC.