Search Results (22)

Background/Objectives: As antimicrobial resistance patterns of Gram-negative bacteria change over time, this study aimed to analyze the antimicrobial susceptibility trends of Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii isolates in Tunisia. Methods: From 1999 to 2019, non-duplicate isolates of Gram-negative bacteria were collected from 11 Tunisian hospitals as part of an antimicrobial resistance surveillance program. Antimicrobial susceptibility testing was performed using the disk diffusion method according to the European Committee on Antimicrobial Susceptibility Testing guidelines. Results: Out of 213,434 isolates collected during the study period, 58.8% were E. coli, 22% were K. pneumoniae, 14.4% were A. baumannii, and 4.8% were P. aeruginosa, with 67% of the isolates sourced from urine samples. E. coli showed a significant increase in resistance to third-generation cephalosporins (3GC), from 5.4% in 2004 to 16.5% in 2019, but K. pneumoniae displayed a rising trend of resistance to imipenem, from 1% in 2005 to 18.6% in 2019; meanwhile, amikacin remained effective against K. pneumoniae isolates. P. aeruginosa did not exhibit a significant change in resistance to imipenem. A. baumannii had a high resistance rate to imipenem that increased from 34.5% in 2008 to 84.2% in 2019 and had low susceptibility rates to all other antibiotics tested. Conclusions: This study reveals high carbapenem resistance among K. pneumoniae and A. baumannii in Tunisia. A. baumannii shows alarming multidrug resistance that requires urgent control measures. Full article

This study investigates the energy consumption and carbon footprint of two prominent automatic speech recognition (ASR) systems: OpenAI’s Whisper and Google’s Speech-to-Text API. We evaluate both local and cloud-based speech recognition approaches using a public Kaggle dataset of 20,000 short audio clips in Urdu, utilizing CodeCarbon, PyJoule, and PowerAPI for comprehensive energy profiling. As a result of our analysis, we expose some substantial differences between the two systems in terms of energy efficiency and carbon emissions, with the cloud-based solution showing substantially lower environmental impact despite comparable accuracy. We discuss the implications of these findings for sustainable AI deployment and minimizing the ecological footprint of speech recognition technologies. Full article

Objectives: The objective of this study was to evaluate the relationship between interleukin-17 (IL-17) serum levels, musculoskeletal ultrasound (MSUS) observations, and clinical disease activity in patients with rheumatoid arthritis (RA) and hand osteoarthritis (OA). Methods: This case–control study involved 120 participants, with 40 individuals assigned to each of the three groups: RA, OA, and control. IL-17 serum levels were quantified in all participants. MSUS of the hand joints was performed on all RA and OA patients. Disease activity in patients with RA was assessed using the Clinical Disease Activity Score (CDAS). Both RA and OA patients completed a Visual Analog Scale (VAS) to evaluate pain intensity. Functional status was evaluated using the Health Assessment Questionnaire (HAQ) for RA patients, while the Australian/Canadian (AUSCAN) Osteoarthritis Hand Index was utilized for OA patients. Results: Serum levels of IL-17 were significantly higher in both the RA and OA groups compared to the control group. Among RA patients, a positive correlation was identified between the CDAS and the VAS for pain. In OA patients, a significant correlation was observed between VAS scores and serum IL-17 levels. Additionally, serum IL-17 levels were associated with the presence of synovitis in both RA and OA groups; however, no significant association was found between IL-17 levels and bony changes such as erosions or osteophytes. In terms of functional evaluation, serum IL-17 levels correlated with HAQ in the RA group, but not with AUSCAN in the OA group. Conclusions: Elevated IL-17 serum levels are linked to inflammatory changes identified by MSUS but not to bony changes. These findings suggest that the rise in IL-17 levels in both OA and RA is primarily driven by underlying inflammatory processes, positioning IL-17 as a potential therapeutic target for both conditions. Full article

Background/Objectives: Streptococcus pneumoniae is a leading respiratory pathogen responsible for significant morbidity and mortality, particularly among vulnerable populations. Understanding its antimicrobial resistance patterns and serotype distribution is crucial for guiding treatment and prevention strategies. This study aims to examine these trends in S. pneumoniae isolates from Tunisia over a two-decade period (2000–2019). Methods: A retrospective time series analysis was conducted on data (n = 4284) gathered from eight university hospital centers across Tunisia. Antimicrobial susceptibility testing was performed according to the European Committee on Antimicrobial Susceptibility Testing (EUCAST) guidelines. Pneumococcal serotypes were determined for a subset of samples from 2012 to 2019 (n = 903) using multiplex PCR and latex agglutination. Results: Penicillin G resistance decreased from 9–13.7% during 2000–2002 to 4.3% by 2019, while amoxicillin resistance increased until reaching 10% in 2019. Erythromycin resistance initially increased before stabilizing between 61.9% and 66.3% during 2014–2019, whereas tetracycline resistance declined from 2000 to 2008 and fluctuated around 40% during 2009–2019. Levofloxacin resistance did not exceed 1.2% throughout the study period. The most prevalent serotypes were 14, 19F, 19A, 23F, 3, 6B, 6A, and 9V. Among them, serotype 3 was the most susceptible overall. Serotypes 23F, 14, 9V, and 6B displayed the highest levels of multi-drug resistance. Conclusions: Penicillin G (high-dosage), cefotaxime, and levofloxacin are still effective against most S. pneumoniae strains in Tunisia, while erythromycin and tetracycline are not reliable options for treating pneumococcal infections. Alarming resistance rates among prevalent serotypes, except serotype 3, underscore the need for preventive measures, rational antibiotic use, and ongoing surveillance. Full article

Conservation agriculture (CA) has been proposed as a viable strategy to enhance soil health and the resilience of farms to climate change, and to support the sustainability of agricultural production systems. While CA is a well-established approach, research results are lacking regarding its long-term impact on nitrogen (N) dynamics in the soil–plant system. In this study, a 20-year experiment was used to investigate the long-term effects of no-tillage in CA on soil organic carbon (SOC) and nitrogen (N) mineralization, plant N uptake, grain yields, and the grain quality of durum wheat. A CA system based on no-tillage (NT) was evaluated and compared with conventional tillage (CT) used for wheat/legumes biennial crop rotation. Results showed that soil samples from CA plots experienced significantly more N mineralization than those under CT, which was attributed to increased SOC and N. Topsoil sampled from the CA plots 20 years after the implementation of the experiment had 43% more absolute potentially mineralizable N (N0) than the CT plots, with no significant differences observed in deeper soil layers (15–30 cm and 30–45 cm). The absolute potentially mineralizable carbon (C0) in soils from the CA system was 49% and 35% higher than in soils from the CT system, at soil depths of 0–15 and 15–30 cm, respectively. Furthermore, CA resulted in higher amounts of remobilized N and higher rates of N uptake during the critical growth stages of durum wheat. The amount of N remobilized during the kernel-filling phase under CA was 59% higher than under CT. Total N uptake in wheat plants was 45% greater under CA compared to CT. The most significant differences in N uptake between the CA and CT systems were observed during two critical growth stages: late tillering to heading (1.7 times higher in CA than CT) and heading to anthesis (1.5 times higher in CA than CT). The most significant differences for N uptake were shown during the late tillering to heading stage and the heading to anthesis stage. The amount of N remobilized during the kernel filling phase under CA was 59% higher than CT. CA adoption resulted in 21% and 35% higher grain and straw yields, respectively, compared to CT. The grain and straw N yields were 21% and 51% higher, respectively, under CA than CT. Moreover, the CA system exhibited higher partial factor productivity of nitrogen fertilizer (PFP N) for both grain and straw yields. Thousand kernel weight (TKW) and hectoliter weight were also significantly higher under CA than CT. The grain protein content, wet gluten content, vitreousness, and falling number were similar between the CA and CT systems. These results highlight the benefits of long-term CA adoption to increase soil N mineralization, providing a substantial base for N uptake during the critical growth stages of durum wheat, thus leading to increased crop yield. The findings underscore the potential of CA systems in promoting sustainable agriculture and mitigating the impacts of soil degradation. Full article

Micromirrors have recently emerged as an essential component in optical scanning technology, attracting considerable attention from researchers. Their compact size and versatile capabilities, such as light steering, modulation, and switching, are leading them as potential alternatives to traditional bulky galvanometer scanners. The actuation of these mirrors is critical in determining their performance, as it contributes to factors such as response time, scanning angle, and power consumption. This article aims to provide a thorough exploration of the actuation techniques used to drive micromirrors, describing the fundamental operating principles. The four primary actuation modalities—electrostatic, electrothermal, electromagnetic, and piezoelectric—are thoroughly investigated. Each type of actuator’s operational principles, key advantages, and their limitations are discussed. Additionally, the discussion extends to hybrid micromirror designs that combine two types of actuation in a single device. A total of 208 closely related papers indexed in Web of Science were reviewed. The findings indicate ongoing advancements in the field, particularly in terms of size, controllability, and field of view, making micromirrors ideal candidates for applications in medical imaging, display projections, and optical communication. With a comprehensive overview of micromirror actuation strategies, this manuscript serves as a compelling resource for researchers and engineers aiming to utilize the appropriate type of micromirror in the field of optical scanning technology. Full article

Background: Lifestyle choices significantly affect health outcomes in Saudi Arabia, but the relationship between health behaviors and satisfaction is unclear. This study aimed to assess lifestyle choices and associated satisfaction levels among residents in the Jazan region of Saudi Arabia. Methods: A cross-sectional study was conducted in Jazan, Saudi Arabia, with 3411 participants. Sociodemographic, lifestyle, and satisfaction data were collected using a questionnaire that was completed during interviews. Logistic regression analyses were implemented to examine the relationships between the study variables and factors related to weight, physical activity, and eating satisfaction. Results: The study found that 38.3% of participants were inactive and 77% rarely ate fruits and vegetables. A total of 47.6% were overweight or obese. Weight (71.12%) and eating (71.59%) satisfaction were high despite these health concerns. The satisfaction-behavior paradox was especially evident in diet. Higher income, physical activity, and healthy eating habits were significantly associated with higher satisfaction (OR = 1.49, 95% CI: 1.15–1.93, p = 0.003 for weight satisfaction, OR = 34.74, 95% CI: 25.42–48.35, p < 0.001 for physical activity satisfaction, and OR = 2.08, 95% CI: 1.67–2.61, p < 0.001 for fruit and vegetable consumption). Conclusions: Lifestyle behaviors and satisfaction in Jazan, Saudi Arabia, are complex. The satisfaction-behavior paradox, especially in diet, reveals a major gap between perceived and actual health. These findings highlight the need for targeted, culturally sensitive interventions that address behavioral change and perception alignment to improve regional public health. Full article

(1) Background: Obesity, a poor diet, and inactivity are major health issues among Saudi youth. However, satisfaction with unhealthy lifestyles could impede change. This study assessed lifestyle factors and related satisfaction among Saudi university students. (2) Methods: In this cross-sectional study, 1957 students at Jazan University completed surveys on demographics, physical activity, dietary habits, and 10-point satisfaction scales for weight, activity, and diet. Chi-squared tests and logistic regression were used to analyze the associations between behaviors and satisfaction. (3) Results: Overweight/obesity prevalence was 25.45%, and only 26.67% of the subjects met activity guidelines. Many of them exhibited poor dietary habits. Despite unhealthy behaviors, some expressed high satisfaction, especially regarding their diets. Subjects with a normal BMI had the highest weight satisfaction. Activity satisfaction increased with higher activity levels. Dietary satisfaction was minimally impacted by healthfulness. Males and higher incomes were correlated with greater satisfaction. (4) Conclusions: A concerning paradox exists between unhealthy lifestyles and satisfaction among Saudi university students, particularly regarding their diets. Multicomponent interventions informed by behavior change theories and employing motivational techniques are urgently needed to address this disconnect and facilitate positive behavior change. Full article

Zebrafish are now widely used to study skeletal development and bone-related diseases. To that end, understanding osteoblast differentiation and function, the expression of essential transcription factors, signaling molecules, and extracellular matrix proteins is crucial. We isolated Sp7-expressing osteoblasts from 4-day-old larvae using a fluorescent reporter. We identified two distinct subpopulations and characterized their specific transcriptome as well as their structural, regulatory, and signaling profile. Based on their differential expression in these subpopulations, we generated mutants for the extracellular matrix protein genes col10a1a and fbln1 to study their functions. The col10a1a^−/− mutant larvae display reduced chondrocranium size and decreased bone mineralization, while in adults a reduced vertebral thickness and tissue mineral density, and fusion of the caudal fin vertebrae were observed. In contrast, fbln1^−/− mutants showed an increased mineralization of cranial elements and a reduced ceratohyal angle in larvae, while in adults a significantly increased vertebral centra thickness, length, volume, surface area, and tissue mineral density was observed. In addition, absence of the opercle specifically on the right side was observed. Transcriptomic analysis reveals up-regulation of genes involved in collagen biosynthesis and down-regulation of Fgf8 signaling in fbln1^−/− mutants. Taken together, our results highlight the importance of bone extracellular matrix protein genes col10a1a and fbln1 in skeletal development and homeostasis. Full article

Osteoarthritis is a degenerative articular disease affecting mainly aging animals and people. The extracellular matrix protein Efemp1 was previously shown to have higher turn-over and increased secretion in the blood serum, urine, and subchondral bone of knee joints in osteoarthritic patients. Here, we use the zebrafish as a model system to investigate the function of Efemp1 in vertebrate skeletal development and homeostasis. Using in situ hybridization, we show that the efemp1 gene is expressed in the brain, the pharyngeal arches, and in the chordoblasts surrounding the notochord at 48 hours post-fertilization. We generated an efemp1 mutant line, using the CRISPR/Cas9 method, that produces a severely truncated Efemp1 protein. These mutant larvae presented a medially narrower chondrocranium at 5 days, which normalized later at day 10. At age 1.5 years, µCT analysis revealed an increased tissue mineral density and thickness of the vertebral bodies, as well as a decreased distance between individual vertebrae and ruffled borders of the vertebral centra. This novel defect, which has, to our knowledge, never been described before, suggests that the efemp1 mutant represents the first zebrafish model for spinal osteoarthritis. Full article

Carbapenem-resistant Acinetobacter baumannii (CRAB) strains can cause severe and difficult-to-treat infections in patients with compromised general health. CRAB strains disseminate rapidly in nosocomial settings by patient-to-patient contact, through medical devices and inanimate reservoirs. The occurrence of CRAB in patients residing in the intensive care units (ICUs) of the Sahloul University hospital in Sousse, Tunisia is high. The objective of the current study was to determine whether the surfaces of items present in five ICU wards and the medical personnel there operating could serve as reservoirs for CRAB strains. Furthermore, CRAB isolates from patients residing in the ICUs during the sampling campaign were analyzed for genome comparison with isolates from the ICUs environment. Overall, 206 items were screened for CRAB presence and 27 (14%) were contaminated with a CRAB isolate. The items were located in several areas of three ICUs. Eight of the 54 (15%) screened people working in the wards were colonized by CRAB on the hands. Patients residing in the ICUs were infected with CRAB strains sharing extensive genomic similarity with strains recovered in the nosocomial environment. The strains belonged to three sub-clades of the internationally disseminated clone (ST2). A clone emerging in the Mediterranean basin (ST85) was detected as well. The strains were OXA-23 or NDM-1 producers and were also pan-aminoglycoside resistant due to the presence of the armA gene. Hygiene measures are urgent to be implemented in the Sahloul hospital to avoid further spread of difficult-to-treat CRAB strains and preserve health of patients and personnel operating in the ICU wards. Full article

The Hessian fly (HF) is an invasive insect that has caused millions of dollars in yield losses to southeastern US wheat farms. Genetic resistance is the most sustainable solution to control HF. However, emerging biotypes are quickly overcoming resistance genes in the southeast; therefore, identifying novel sources of resistance is critical. The resistant line “UGA 111729” and susceptible variety “AGS 2038” were crossbred to generate a population of 225 recombinant inbred lines. This population was phenotyped in the growth chamber (GC) during 2019 and 2021 and in field (F) trials in Georgia during the 2021–2022 growing seasons. Visual scoring was utilized in GC studies. The percentage of infested tillers and number of pupae/larvae per tiller, and infested tiller per sample were measured in studies from 2021 to 2022. Averaging across all traits, a major QTL on chromosome 3D explained 42.27% (GC) and 10.43% (F) phenotypic variance within 9.86 centimorgans (cM). SNP marker IWB65911 was associated with the quantitative trait locus (QTL) peak with logarithm of odds (LOD) values of 14.98 (F) and 62.22 (GC). IWB65911 colocalized with resistance gene H32. KASP marker validation verified that UGA 111729 and KS89WGRC06 express H32. IWB65911 may be used for marker-assisted selection. Full article

Neurotransmitters (NTs) play a crucial role in regulating the behavioral and physiological functions of the nervous system. Imbalances in the concentrations of NT have been directly linked to various neurological diseases (e.g., Parkinson’s, Huntington’s, and Alzheimer’s disease), in addition to multiple psychotic disorders such as schizophrenia, depression, dementia, and other neurodegenerative disorders. Hence, the rapid and real-time monitoring of the NTs is of utmost importance in comprehending neurological functions and identifying disorders. Among different sensing techniques, electrochemical biosensors have garnered significant interest due to their ability to deliver fast results, compatibility for miniaturization and portability, high sensitivity, and good controllability. Furthermore, the utilization of enzymes as recognition elements in biosensing design has garnered renewed attention due to their unique advantages of catalytic biorecognition coupled with simultaneous signal amplification. This review paper primarily focuses on covering the recent advances in enzymatic electrochemical biosensors for the detection of NTs, encompassing the importance of electrochemical sensors, electrode materials, and electroanalytical techniques. Moreover, we shed light on the applications of enzyme-based biosensors for NTs detection in complex matrices and in vivo monitoring. Despite the numerous advantages of enzymatic biosensors, there are still challenges that need to be addressed, which are thoroughly discussed in this paper. Finally, this review also presents an outlook on future perspectives and opportunities for the development of enzyme-based electrochemical biosensors for NTs detection. Full article

One of the biggest problems the maritime industry is currently experiencing is corrosion, resulting in short and long-term damages. Early prediction and proper corrosion monitoring can reduce economic losses. Traditional approaches used in corrosion prediction and detection are time-consuming and challenging to execute in inaccessible areas. Due to these reasons, artificial intelligence-based algorithms have become the most popular tools for researchers. This study discusses state-of-the-art artificial intelligence (AI) methods for marine-related corrosion prediction and detection: (1) predictive maintenance approaches and (2) computer vision and image processing approaches. Furthermore, a brief description of AI is described. The outcomes of this review will bring forward new knowledge about AI and the development of prediction models which can avoid unexpected failures during corrosion detection and maintenance. Moreover, it will expand the understanding of computer vision and image processing approaches for accurately detecting corrosion in images and videos. Full article

Improving legumes crops’ performance under dense stands shade environment (e.g., intercropped oats–clover) is needed to promote agroecological practices. Previous studies have revealed that ethylene produced by plants under dense standing conditions is among other factors that affect crops’ growth performance and reduce legumes’ ability to fix nitrogen (N). Here, we identified a Pseudomonas thivervalensis strain T124 as a high ACC deaminase-producing bacterium and evaluated its potential ability to alleviate the effects of reduced light (RL) and exogenous ethylene applied as ACC (ethylene precursor) on clover growth and development under controlled conditions and field conditions at dense stands of clover and oats intercrops. RL decreases clover root and shoots biomass, whereas the T124 strain counteracted RL effects, enhancing clover tolerance to shade. Exogenous ACC reduced clover growth and chlorophyll content while inducing overaccumulation of reactive oxygen species (H₂O₂ and O₂^•−). ACC-elicited cellular stress was suppressed by strain T124, suggesting the role of bacterial ACC deaminase activity. Combined with Rhizobium leguminosarum strain T618 (the strain identified as being able to fix N in symbiosis with clover), T124 prevents early nodule senescence by improving nodule leghemoglobin and reducing nodule nitric oxide levels. Co-inoculation with T124 + T618 increased shoot N content (+24%) more than T618 alone. Field experiments revealed that intercropping decreases Photosynthetic Active Radiation (PAR) at the top of clover due to oats, affecting clover photosynthesis assimilation. Interestingly, under T124 inoculation treatments, clover net photosynthetic rate (Anet) and stomatal conductance (Gs) were found to improve relative to the control and T618 inoculation treatments. Clover exhibits improved growth performance in terms of branching and nodulation after T124 inoculation. Most significant improvements occurred with the mixing of the two strains. Data suggest that co-inoculation with R. leguminosarum T618 and P. thivervalensis T124 potentially decreases the interspecific competition between clover and oats intercrops by reducing ACC (ethylene precursor) levels. Our study revealed that co-inoculation of legumes with competitive rhizobia and ACC deaminase-producing PGPRs is an eco-friendly approach to improving intercropping systems’ performance. Full article