Serum Selenium Levels and Lipid Profile: A Systematic Review and Meta-analysis of Observational Studies.

Selenium is a trace element with pivotal roles in metabolic processes. Studies suggested that selenium deficiency could lead to impaired lipid profiles. However, inconsistent results have been reported regarding the association between serum selenium concentrations and lipid profile (triglycerides, LDL, HDL, VLDL, and total cholesterol). Thus, we aimed to review the correlation between them. A systematic literature search was conducted in PubMed, Embase, Web of Science, Scopus, and Google Scholar until 31 December 2023. The relevant correlation coefficients were used as desired effect sizes to assess the correlation between selenium level and lipid profile. Among 8291 records found in the primary search, 47 and 34 articles were included in the systematic review and meta-analysis, respectively. All included studies were observational investigations and had acceptable quality. Our results failed to reach strong evidence supporting the correlation between serum selenium level and lipid profiles, except for HDL, which showed a weak correlation among both adults (r = 0.1 [0.03:0.17]; I2 = 71%) and pediatrics (r = 0.08 [0.03:0.14]; I2 = 38%). Subgroup analyses based on gender did not reveal a significant or strong correlation with selenium levels (except for total cholesterol in males (r = 0.12 [0.01:0.22]; I2 = 52%)). The results did not change after the sensitivity analysis. Although some previous studies have suggested that selenium deficiency could lead to impaired lipid profile, the findings of this study indicate no strong correlation between serum selenium levels and lipid profile.

Lifetime exposure to smoking and substance abuse may be associated with late-onset multiple sclerosis: a population-based case-control study.

BACKGROUND: Late-onset multiple sclerosis (LOMS), defined as the development of MS after the age of 50, has shown a substantial surge in incidence rates and is associated with more rapid progression of disability. Besides, studies have linked tobacco smoking to a higher chance of MS progression. However, the role of smoking on the risk of developing LOMS remains unclear. This study aims to evaluate the possible association between lifetime exposure to cigarette and waterpipe smoking, drug abuse, and alcohol consumption and the risk of LOMS. METHODS: This population-based case-control study involved LOMS cases and healthy sex and age-matched controls from the general population in Tehran, Iran. The primary data for confirmed LOMS cases were obtained from the nationwide MS registry of Iran (NMSRI), while supplementary data were collected through telephone and on-site interviews. Predesigned questionnaire for multinational case-control studies of MS environmental risk factors was used to evaluate the LOMS risk factors. The study employed Likelihood ratio chi-square test to compare qualitative variables between the two groups and utilized two independent sample t-test to compare quantitative data. Adjusted odds ratio (AOR) for age along with 95% confidence intervals (CI) were calculated using matched logistic regression analysis in SPSS 23. RESULTS: Totally, 83 LOMS cases and 207 controls were included in the analysis. The female to male ratio in the cases was 1.5: 1. The mean ± SD age of 83 cases and 207 controls was 61.14 ± 5.38) and 61.51 ± 7.67 years, respectively. The mean ± SD expanded disability status scale (EDSS) score was 3.68 ± 2.1. Although the results of waterpipe exposure had no significant effect on LOMS development (P-value: 0.066), ever cigarette-smoked participants had a significantly higher risk of developing LOMS than those who never smoked (AOR: 2.57, 95% CI: 1.44-4.60). Furthermore, people with a history of smoking for more than 20 years had 3.45 times the odds of developing MS than non-smokers. Drug and alcohol abuse were both associated with LOMS in our study; of which opioids (AOR: 5.67, 95% CI: 2.05-15.7), wine (AOR: 3.30, 95% CI: 1.41-7.71), and beer (AOR: 3.12, 95% CI: 1.45-6.69) were found to pose the greatest risk of LOMS, respectively. CONCLUSION: For the first time, we identified smoking, drug, and alcohol use as potential risk factors for LOMS development. According to the global increase in cigarette smoking and alcohol use, these findings highlight the importance of conducting interventional approaches for prevention.

A new route to the synthesis of 2-hydrazolyl-4-thiazolidinone hybrids, evaluation of α-glucosidase inhibitory activity and molecular modeling insights.

One of the multifactorial worldwide health syndromes is diabetes mellitus which is increasing at a disturbing rate. The inhibition of α-glucosidase, an enzyme that catalyzes starch hydrolysis in the intestine, is one helpful therapeutic approach for controlling hyperglycemia related to type-2 diabetes. To discover α-glucosidase inhibitors, some 2-hydrazolyl-4-thiazolidinone hybrids (3a-e) were synthesized from new one-pot reaction procedures. Next, their chemical structures were confirmed by 1H NMR, 13C NMR, and FT-IR spectra, and elemental analysis technique. Then, the α-glucosidase inhibitory activity of the titled compounds was evaluated. Among them, derivatives 3b and 3c revealed the highest activity against α-glucosidase compared to acarbose as a drug. Enzyme kinetic studies of the most active derivative (3b) indicated a competitive inhibition. Finally, molecular modeling studies were accomplished to describe vital interactions of the most potent compounds (3b and 3c) with the α-glucosidase enzyme.

Association Study of 3-untranslated region Haplotype of Human leukocyte antigen-G Gene with Lupus.

Background: Human leukocyte antigen-G (HLA-G) is a pivotal protein involved in immune regulation and tolerance, while systemic lupus erythematosus (SLE) is a multifaceted autoimmune condition influenced by genetic and environmental factors. Research indicates that variations and mutations in HLA-G may impact SLE development. Objective: This study aimed to explore the relationship between polymorphisms in the 3'-untranslated region (UTR) of the HLA-G gene and SLE. Methods: DNA from 100 SLE patients and 100 controls was analyzed using polymerase chain reaction to amplify the target sequence. Allele and genotype frequencies were determined, and haplotypes were assessed using Haploview v.4.2 software, with linkage disequilibrium calculated. Results: Findings revealed that the +2960 Ins allele was significantly linked to SLE as a risk factor, with the Del allele showing a protective effect. In addition, the +3010C allele and +3187A allele were significantly associated with SLE at both allele and genotype levels. The +3142 GG homozygote was notably linked to SLE at the genotype level. Haplotype analysis identified UTR-2 haplotypes as risk factors for SLE, whereas the UTR-1 haplotype was protective, shedding light on genetic factors influencing SLE risk. Conclusion: This study underscores the importance of HLA-G gene 3'-UTR polymorphisms in SLE susceptibility, suggesting their potential as diagnostic or therapeutic targets.

The cost-effectiveness analysis of semaglutide for the treatment of adult and adolescent patients with overweight and obesity: a systematic review.

PURPOSE: The present study aimed to systematically collect and synthesize available cost-effectiveness studies of semaglutide in patients with obesity or overweight in comparison with other interventions. METHODS: We comprehensively searched multiple electronic databases to identify relevant literature. Studies were selected based on inclusion and exclusion criteria. The quality of studies was appraised using the "Consolidated Health Economic Evaluation Reporting Standards" (CHEERS) tool. This study is conducted and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. RESULTS: Out of a total of 252 items, after review, 32 articles were fully reviewed, and, finally, 7 studies met inclusion and exclusion criteria. The discount rate was in the range of 1.5-3.5%. Studies included showed semaglutide offered more QALYs than anti-obesity drugs but because of higher cost, in some cases, ICER exceeds the willingness to pay threshold. Results show that semaglutide creates higher total cost compared to conventional interventions in patients with class I, II, and III obesities. Results show that in patients with class I obesity (BMI 33) lifestyle intervention (LI), endoscopic sleeve gastroplasty (ESG), Sleeve gastrectomy (SG), and semaglutide create $124,195; $126,732; $139,971; and $370,776, respectively. CONCLUSION: The current systematic review showed that semaglutide provides more QALYs and creates more costs in comparison with phentermine-topiramate, phentermine, and naltrexone-bupropion. Semaglutide may be cost-effective with substantial cost reduction. Semaglutide appears to be cost-effective versus diet and exercise (D&E) and liraglutide but it was not cost-effective versus sleeve gastrectomy, endoscopic sleeve gastroplasty, and gastric bypass.

First Report of Burkholderia glumae Causing Bacterial Panicle Blight in Rice in Bangladesh.

Bacterial panicle blight (BPB) is one of the emerging diseases occurring in different Agro-Ecological Zones (AEZ) of Bangladesh and can cause up to 75% yield loss. In Bangladesh, the typical symptoms of BPB include sheath rot, panicle blight, grain spotting, and grain rot in both inbred and hybrid rice varieties, which resemble those reported by Zhou (2019). To confirm, 300 field samples of 20 panicles each with typical BPB symptoms from 20 districts (3 locations each district and 5 fields per location) were collected during mid-November 2022 for the causal pathogen(s) isolation. Nearly 70% of the panicles showed a dark brown chaffy appearance in the fields. For identification of the causal pathogen(s), 1 g of rice grains with typical BPB symptoms was surface sterilized by immersing for 15 seconds in 70% ethanol, 1 min in 3% sodium hypochlorite solution followed by rinsing the grains three times, and soaked in 1 mL sterile distilled water for 10 min (Mirghasempour et al. 2018). During grinding using mortar and pestle, 5 mL water was added (Islam et al. 2023) after which the suspension (20 µL) was then streaked onto the selective medium (S-PG) (Tsushima et al. 1986). Purple color colonies on the S-PG medium were selected and purified as candidate pathogens. For further confirmation, the genomic DNA of the bacterial isolates was extracted and amplified by PCR using 16SF (5'-AGAGTTTGATCCTGGCTCAG-3') and 16SR (5'-GGCTACCTTGTTACGACTT-3') (Nandakumar et al. 2009), and glu-FW (5'-GAAGTGTCGCCGATGGAG-3') and glu-RV (5'-CCTTCACCGACAGCACGCAT-3') primers (Maeda et al. 2006). The PCR products were visualized on 1% agarose gel resulting amplicons of 1494bp for 16S-rDNA and 529bp for gyrB. The PCR results revealed 529bp amplification for gyrB gene in one sample that was collected from a field in Natore (24°21'0.00" N 89°04'59.88" E) district cultivating Swarna (a local rice variety), primarily indicating the causal pathogen is Burkholderia glumae. The PCR products were sequenced using both primers and sequence data was analyzed by the BLAST nucleotide program. The obtained partial sequences of 16S rDNA and gyrB were deposited in Genbank (OR573691 and PP332812 respectively). The homology of 16S rDNA resulted over 98% with B. glumae (OK559611 and ON870618.1) and 100% with B. glumae (PP332812 and KX213523) for gyrB gene. To confirm B. glumae by pathogenicity test, 10 mL (108 UFC/ml) suspension of the representative strains, 0.5 mL was then injected into the panicles and sheaths of Horidhan (a susceptible local variety) in greenhouse condition and a control was inoculated with distilled water (Nandakumar et al. 2009). Typical BPB like symptoms were observed after 3 weeks post inoculation. The pathogen was again confirmed by reisolating from the infected spots as B. glumae to fulfill Koch's postulates. This report confirms the presence of B. glumae causing BPB of rice in Bangladesh. Future research for the investigation of BPB and the evolutionary origins of its causal bacteria is necessary to reduce the emergence of the disease and its management in Bangladesh.

Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithms.

Decades of research in exercise immunology have demonstrated the profound impact of exercise on the immune response, influencing an individual's disease susceptibility. Accurate prediction of white blood cells (WBCs) count during exercise can help to design effective training programs to maintain optimal the immune system function and prevent its suppression. In this regard, this study aimed to develop an easy-to-use and efficient modelling tool for predicting WBCs count during exercise. To achieve this goal, the predictive power of a range of machine-learning algorithms, including six standalone models (M5 prime (M5P), random forest (RF), alternating model trees (AMT), reduced error pruning tree (REPT), locally weighted learning (LWL), and support vector regression (SVR)) were assessed along with six types of hybrid models trained with a bagging (BA) algorithm (BA-M5P, BA-RF, BA-AMT, BA-REPT, BA-LWL, and BA- SVR). A comprehensive database was constructed from 200 eligible people. The models employed post-exercise training WBCs counts as the output parameter and seven WBCs-influencing factors, including intensity and duration of exercise, pre-exercise training WBCs counts, age, body fat percentage, maximal aerobic capacity, and muscle mass as input parameters. Comparing the prediction results of the models to the observed WBCs using standard statistics indicated that the BA-M5P model had the greatest potential to produce a robust prediction of the number of lymphocytes, neutrophils, monocytes, and WBC compared to other models. Moreover, pre-exercise training WBCs counts, intensity and duration of exercise and body fat percentage were the most important features in predicting WBCs counts. These findings hold significant implications for the advancement of exercise immunology and the promotion of public health.

Mechanical Thrombectomy Versus Intravenous Thrombolysis in Distal Medium Vessel Acute Ischemic Stroke: A Multinational Multicenter Propensity Score-Matched Study.

Background and Purpose: The management of acute ischemic stroke (AIS) due to distal medium vessel occlusion (DMVO) remains uncertain, particularly in comparing the effectiveness of intravenous thrombolysis (IVT) plus mechanical thrombectomy (MT) versus IVT alone. This study aimed to evaluate the safety and efficacy in DMVO patients treated with either MT-IVT or IVT alone. Methods: This multinational study analyzed data from 37 centers across North America, Asia, and Europe. Patients with AIS due to DMVO were included, with data collected from September 2017 to July 2023. The primary outcome was functional independence, with secondary outcomes including mortality and safety measures such as types of intracerebral hemorrhage. Results: The study involved 1,057 patients before matching, and 640 patients post-matching. Functional outcomes at 90 days showed no significant difference between groups in achieving good functional recovery (modified Rankin Scale 0-1 and 0-2), with adjusted odds ratios (OR) of 1.21 (95% confidence interval [CI] 0.81 to 1.79; P=0.35) and 1.00 (95% CI 0.66 to 1.51; P>0.99), respectively. Mortality rates at 90 days were similar between the two groups (OR 0.75, 95% CI 0.44 to 1.29; P=0.30). The incidence of symptomatic intracerebral hemorrhage was comparable, but any type of intracranial hemorrhage was significantly higher in the MT-IVT group (OR 0.43, 95% CI 0.29 to 0.63; P<0.001). Conclusion: The results of this study indicate that while MT-IVT and IVT alone show similar functional and mortality outcomes in DMVO patients, MT-IVT presents a higher risk of hemorrhagic complications, thus MT-IVT may not routinely offer additional benefits over IVT alone for all DMVO stroke patients. Further prospective randomized trials are needed to identify patient subgroups most likely to benefit from MT-IVT treatment in DMVO.

Uncontrolled blood pressure among the established hypertensive elderly people in Jashore, Bangladesh: A cross-sectional type of observational study.

Objectives: Hypertension is one of the major modifiable risk factors for cardiovascular mortality and morbidity throughout the world. Increased life expectancy leads to increase prevalence of non-communicable diseases among the elderly people including Bangladesh. However, different studies reported high prevalence of uncontrolled hypertension ranging from 52.6% to 67.9% among the elderly people in different countries. With this view, we aimed to assess the frequency of uncontrolled blood pressure (BP) among the elderly hypertensive people and its associated risk factors and treatment pattern in Bangladesh. Methodology: This cross-sectional type of observational study recruited 246 eligible hypertensive elderly patients attending in 250 Bedded General Hospital, Jashore, Bangladesh dated from 1st July to 31st December 2022. A structured questionnaire was developed and data on associated risk factors, treatment pattern and current blood pressure (BP) measurement were collected by face-to-face interview for the purposive sampling technique. Results: The mean age of our study patients was 72 ± 7 years with a male and female ratio nearly 1:1. Of the total hypertensive patients aged over 65 years or more, 56.5% remained with uncontrolled hypertension even on their prescribed antihypertensive medications. The mean systolic (SBP) and diastolic (DBP) blood pressure were significantly high (P < 0.001) as 167 ± 22 mm Hg and 95 ± 11 mm Hg, respectively, among the uncontrolled hypertensive patients. However, we noticed the mean SBP and DBP among the total hypertensive patients were also significantly high (P < 0.001) as 148 ± 27 mm Hg and 87 ± 13 mm Hg, respectively. In this study, we reported that the mean number of last prescribed antihypertensive medications used by the total patients was 2 ± 1 (P =0.224) which was similar among the controlled and uncontrolled hypertensive patient groups. Among the elderly hypertensive patients, the most commonly prescribed antihypertensive medications were Amlodipine 39.8% (P =0.006), Olmesartan 29.3% (P = 0.186), Losartan 24.4% (P = 0.127), Bisoprolol 15.0% (P = 0.266) and Atenolol 14.6% (P = 0.224). Conclusion: We noticed high frequency of uncontrolled blood pressure among the elderly hypertensive patients, despite of using multiple antihypertensive medications in Jashore, Bangladesh.

Volumetric analysis of the hypothalamic subunits in obstructive sleep apnea.

BACKGROUND: Obstructive sleep apnea (OSA) is a prevalent sleep disorder that is associated with structural brain damage and cognitive impairment. The hypothalamus plays a crucial role in regulating sleep and wakefulness. We aimed to evaluate hypothalamic subunit volumes in patients with OSA. METHODS: We enrolled 30 participants (15 patients with OSA and 15 healthy controls (HC)). Patients with OSA underwent complete overnight polysomnography (PSG) examination. All the participants underwent MRI. The hypothalamic subunit volumes were calculated using a segmentation technique that trained a 3D convolutional neural network. RESULTS: Although hypothalamus subunit volumes were comparable between the HC and OSA groups (lowest p = .395), significant negative correlations were found in OSA patients between BMI and whole left hypothalamus volume (R = -0.654, p = .008), as well as between BMI and left posterior volume (R = -0.556, p = .032). Furthermore, significant positive correlations were found between ESS and right anterior inferior volume (R = 0.548, p = .042), minimum SpO2 and the whole left hypothalamus (R = 0.551, p = .033), left tubular inferior volumes (R = 0.596, p = .019), and between the percentage of REM stage and left anterior inferior volume (R = 0.584, p = .022). CONCLUSIONS: While there were no notable differences in the hypothalamic subunit volumes between the OSA and HC groups, several important correlations were identified in the OSA group. These relationships suggest that factors related to sleep apnea severity could affect hypothalamic structure in patients.

NCCN Guidelines® Insights: Colorectal Cancer Screening, Version 1.2024.

The NCCN Guidelines for Colorectal Cancer (CRC) Screening describe various colorectal screening modalities as well as recommended screening schedules for patients at average or increased risk of developing sporadic CRC. They are intended to aid physicians with clinical decision-making regarding CRC screening for patients without defined genetic syndromes. These NCCN Guidelines Insights focus on select recent updates to the NCCN Guidelines, including a section on primary and secondary CRC prevention, and provide context for the panel's recommendations regarding the age at which to initiate screening in average-risk individuals and those with increased risk based on personal history of childhood, adolescent, and young adult cancer.

Enhancing cell activities through integration of polyanionic alginate or hyaluronic acid derivatives with triboelectric nanogenerators.

The impact of electrical stimulation has been widely investigated on the wound healing process; however, its practicality is still challenging. This study explores the effect of electrical stimulation on fibroblasts in a culture medium containing different electrically-charged polysaccharide derivatives including alginate, hyaluronate, and chitosan derivatives. For this aim, an electrical stimulation, provided by a zigzag triboelectric nanogenerator (TENG), was exerted on fibroblasts in the presence of polysaccharides' solutions. The analyses showed a significant increase in cell proliferation and an improvement in wound closure (160 % and 90 %, respectively) for the hyaluronate-containing medium by a potential of 3 V after 48 h. In the next step, a photo-crosslinkable hydrogel was prepared based on hyaluronic acid methacrylate (HAMA). Then, the cells were cultured on HAMA hydrogel and treated by an electrical stimulation. Surprisingly, the results showed a remarkable increase in cell growth (280 %) and migration (82 %) after 24 h. Attributed to the electroosmosis phenomenon and an amplified transfer of soluble growth factors, a dramatic promotion was underscored in cell activities. These findings highlight the role of electroosmosis in wound healing, where TENG-based electrical stimulation is combined with bioactive polysaccharide-based hydrogels to promote wound healing.

Exploring autoimmune endocrine diseases induced by monoclonal antibodies used as multiple sclerosis pharmacotherapy: a systematic review.

Multiple sclerosis (MS) is an autoimmune neurodegenerative disease that targets myelin, leading to inflammation and neuron death. Monoclonal antibodies (MAb) have long been used to control the progression and exacerbations of this disorder, which may induce secondary autoimmune disease as a rare adverse event. This systematic review aimed to gather data of case reports around this subject and to explain the mechanism behind their occurrence. PubMed, Scopus, and Google scholar were searched for published case reports until February 21st 2024. The Joanna Briggs Institute (JBI) critical appraisal checklist was used to assess the quality of the included studies. In total, 20 articles met the inclusion criteria and were reviewed by the authors. The most autoimmune disorders were thyroiditis and as expected induced by alemtuzumab. Ocrelizumab had one secondary autoimmune complication reported. MAbs used in MS immunotherapy have shown to induce secondary autoimmune disorders including endocrine complications, which have been reported in many case reports. It is recommended to use these agents with caution and monitor patients for symptoms of the aforementioned conditions.

Association between maternal hypothyroidism, baby birth weight, and adult cardiovascular disease risk: insights from ECG measurements.

OBJECTIVES: Thyroid hormone (TH) deficiency during pregnancy may affect cardiovascular function in offspring rats. This study aimed to evaluate the effect of TH deficiency during gestation, on the electrocardiogram indices of young and middle-aged offspring of male rats. METHODS: Eight female rats were equally divided into hypothyroid and control groups. The hypothyroid mothers received 0.025% 6-propyl-2-thiouracil (PTU) in drinking water throughout pregnancy, while control mothers consumed only tap water. Following birth, male rats from each group were observed for 4 months (young age) and 12 months (middle-aged). The group known as fetal hypothyroid (FH) consisted of rats born from hypothyroid mothers. The serum T4 and TSH concentrations from mothers and newborn male rats were assayed at the end of gestation. Lead II electrocardiogram (ECG) was recorded for 5 minutes using Power Lab, AD Instruments. RESULTS: There was a significant rise in the P wave voltage in young FH rats, whereas, it was decreased in middle-aged control and FH rats. The voltage of QRS decreased and its duration increased in the young and middle-aged FH rats compared to the corresponding control groups. Duration and voltage of the T wave were significantly altered in the young and middle-aged FH groups. PR and QT intervals significantly increased in the young and middle-aged FH groups compared to their controls. CONCLUSIONS: Maternal hypothyroidism affected the electrocardiogram indices of offspring rats, possibly signaling cardiovascular problems later in life.

Effect of various flavors in starter diets on growth, behavior, and blood parameters of Holstein calves.

This study investigated the effect of adding various flavors to calf starter concentrates on the performance, behavior, and blood parameters of Holstein dairy calves. The hypothesis was that an optimal flavor enhancer would increase starter intake, improve growth performance, and possibly enable earlier weaning without adverse physiological effects. In Experiment 1, a cafeteria test was conducted with 80 pre-weaned calves to evaluate four synthetic flavor enhancers (salty, sweet, sour, bitter) at levels of 3.3, 6.6, and 9.9 g/kg dry matter (DM), and a control without a flavor enhancer. Experiment 2 tested higher levels (9.9, 19.8, 29.7 g/kg DM) of the sweet flavor enhancer sodium saccharin in a single cafeteria test with 20 calves. Experiment 3 compared three sweet flavor enhancers (sodium saccharin, stevia, sucralose) at 9.9 g/kg DM in another cafeteria test with 20 calves. After selecting sodium saccharin at 9.9 g/kg DM as the optimal flavor enhancer, Experiment 4 was conducted with 40 calves divided into a treatment group receiving the flavored starter and a control group without flavor. In Experiment 1, sodium saccharin at 9.9 g/kg DM resulted in the highest dry matter intake (DMI) of 347 g/d, significantly higher than the control (173 g/d). Experiment 2 revealed a quadratic effect with DMI peaking at 9.9 g/kg DM sodium saccharin (201.0 g/d) and declining at higher levels. Experiment 3 confirmed that sodium saccharin outperformed other sweet flavor enhancers, increasing DMI to 350 g/d compared to 251 g/d for the control. In Experiment 4, calves fed the starter concentrate with 9.9 g/kg DM sodium saccharin showed significantly higher DMI (1749 g/d), average daily gain (ADG; 730 g/d), and feed conversion ratio (FCR; 2.05) compared to the control group (DMI 1470 g/d, ADG 650 g/d, FCR 2.36). Furthermore, calves in the flavored treatment were weaned earlier (59 days) than the control group (64 days). Behavioral observations showed that the sweet flavor treatment increased the time spent on solid feed intake, rumination, and standing behavior. Calves fed the flavored starter had lower levels of cholesterol, triglycerides, and blood urea nitrogen, suggesting improved nutrient utilization. Overall, the results demonstrated the potential benefits of incorporating sodium saccharin as a sweet flavor enhancer in calf starter concentrates, leading to improved feed intake, growth performance, feed efficiency, final body weight (FBW), and behavioral patterns during the critical pre-weaning and post-weaning periods.

The First Introduction of an Exogenous 5' Untranslated Region for Control of Plastid Transgene Expression in Chlamydomonas reinhardtii.

The utilization of heterologous 5' untranslated regions (5'UTRs) for expressing foreign proteins in the chloroplast of Chlamydomonas reinhardtii (C. reinhardtii) has posed a persistent challenge over the years. This challenge stems from the lack of a defined and comprehensive set of translational cis-elements responsible for stability, ribosome binding, and translation initiation, which are mediated by trans-acting factors native to C. reinhardtii. In the current study, we aimed to address this bottleneck by employing the 5'UTR from gene 10 of the T7 bacteriophage (T7g10 5'UTR), fused to the promoter of C. reinhardtii small subunit ribosomal RNA (rrnS), to facilitate the translation of a reporter gene, YFP. Using a chimeric construct, the YFP mRNA was efficiently translated utilizing the heterologous T7g10 5'UTR. Furthermore, the accumulation of YFP protein under the control of the T7g10 5'UTR was approximately one third of that observed under the control of the endogenous psaA promoter/5'UTR in the C. reinhardtii chloroplast. The results of computational analyses demonstrated that the T7g10 5'UTR sequence shares common elements with the endogenous 5'UTRs of the chloroplast genes. Moreover, the findings of the current study highlighted the potential of employing bacteriophage 5'UTRs for the foreign protein accumulation from the chloroplast genome of C. reinhardtii.

Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths.

Soil temperature (ST) stands as a pivotal parameter in the realm of water resources and irrigation. It serves as a guide for farmers, enabling them to determine optimal planting and fertilization timings. In the backdrop of regions like Iran, where water resources are scarce, a proficient and economical prediction model for ST, particularly at lower depths, becomes imperative. While recent models have demonstrated adeptness in predicting ST, in general, their error decreases with increasing depth, so that they had the lowest error at a depth of 100 cm. Addressing this gap, our study pioneers a novel hybrid model that excels in accurate daily ST prediction as it delves deeper. The models deployed encompass the multilayer perceptron (MLP) and an enhanced version, MLP coupled with the Sperm Swarm Optimization Algorithm (MLP-SSO). These models prognosticate daily ST across varying depths (5-100 cm), leveraging meteorological parameters such as air temperature, relative humidity, wind speed, sunshine hours, and precipitation. These parameters are anchored to the Ahvaz and Sabzevar synoptic stations in Iran, spanned over the period from 1997 to 2022. Evaluation of our research outcomes unveils that the root mean square error (RMSE) witnesses its most substantial reduction at a depth of 100 cm. For instance, at the Ahvaz station, the MLP-SSO model diminishes the RMSE value from 1.25 to 1.12 °C, in contrast to the MLP model. Similarly, at the Sabzevar station, the RMSE value drops from 1.78 to 1.49 °C using the coupled MLP-SSO model. These results robustly highlight the considerable enhancement brought about by the utilization of the MLP-SSO model, clearly surpassing the performance of the standalone MLP model. This emphasizes the potential and promise of the MLP-SSO model for future investigations, offering insights that can significantly advance the domain of soil temperature prediction and its implications for agricultural decision-making.

Determining the optimal level and the effect of different zinc sources on performance, egg quality and the immune system of laying hens at the end of the production period.

BACKGROUND: Trace elements, such as zinc, magnesium and copper, are essential for improving the performance and health of broiler breeders and the development of chicken embryos. These elements are integral to various proteins involved in metabolism, hormone secretion and the immune system, necessitating their inclusion in small amounts in poultry diets. OBJECTIVES: This study aimed to determine the optimal level and effect of different zinc sources on performance, egg quality and the immune system of laying hens at the end of the production period. METHODS: The experiment involved 520 Lohmann LSL laying hens, aged 80 weeks, divided into 13 treatments with 5 replications and 8 birds per replication. The hens were fed diets supplemented with 40, 60 and 80 mg/kg of zinc from various sources: mineral zinc oxide, mineral zinc sulphate, organic zinc chelated with glycine and organic zinc chelated with an organic acid. Key parameters measured included body weight, egg weight and immune response. RESULTS: The basal diet contained 63.58 mg/kg of zinc, with the requirement per the Lohmann LSL guideline being 80 mg/kg. Zinc supplementation significantly increased body weight in the second month, with 80 mg/kg being the optimal dose. Zinc oxide notably increased egg weight compared to the control. The hens utilized zinc from all sources, resulting in weight gain and improved parameters such as egg quality. Immune parameters were also positively influenced by zinc supplementation. CONCLUSIONS: Zinc supplementation at appropriate levels enhances the performance and egg quality of laying hens, particularly at the end of the production period. It improves bioavailability, enriches eggs and mitigates age-related declines in productivity.

Nanophotonic structure inverse design for switching application using deep learning.

Switching functionality is pivotal in advancing communication systems, serving as a paramount mechanism. Despite numerous innovations in this field, optical switch design, fabrication, and characterization have traditionally followed an iterative approach. Within this paradigm, the designer formulates an informed conjecture regarding the switch's structural configuration and subsequently resolves Maxwell's equations to ascertain its performance. Conversely, the inverse problem, which entails deriving a switch geometry to achieve a targeted electromagnetic response, continues to pose formidable challenges and necessitates substantial time and effort, particularly under the constraints of specific assumptions. In this work, we propose a deep neural network-based method to approximate the spectral transmittance of all-optical switches. The findings substantiate the efficacy of deep learning in the design of all-optical plasmonic switches, which are renowned as the fastest switches at the nanoscale. The nonlinear Kerr effect in square resonators is leveraged to demonstrate the switching performance. Juxtaposed with conventional simulations, the proposed model showcases a remarkable improvement in computational efficiency. Furthermore, deep learning can resolve nanophotonic inverse design problems without reliance on trial-and-error or empirical strategies. Compared to simulations, the mean squared error for both forward and inverse models is meager, with values of around 0.03 and 0.02, respectively. The deep learning-proposed switches exhibit excellent suitability for integration into photonic integrated circuits, substantially influencing the progression of all-optical signal processing.