Time Research Articles

Spatial Variation of Microclimatic Parameters Inside a Polyhouse with Fog Cooling System

The importance of protected cultivation is increasing day by day due to its capability of producing crop all round the year and increase in the crop productivity. This advantage of protected cultivation can be efficiently achieved by adapting the polyhouse cultivation. To obtain the maximum crop productivity inside a polyhouse, it is necessary to understand the variability of microclimate inside it. The present study aims to understand the spatial variability of microclimate inside a naturally ventilated polyhouse installed with fog cooling system during summer season. The main aim of the study is to understand the effect of fogging system in spatial variability of microclimate. For the study, the data of microclimatic parameters were collected daily from April to June at four different time intervals 8.30 AM, 12.30 PM, 4.30 PM and 8.30 PM. The data recorded was then analyzed in Golden Surfer Software to generate contour plots of weekly averages of microclimate parameters. The analysis revealed that the temperature and relative humidity varied across the polyhouse depending upon the wind velocity and its distribution pattern. The light intensity varied based upon the orientation of polyhouse and the position of sun. Carbon dioxide concentration varied based on temperature, light intensity, crop transpiration and respiration. It can be concluded that, inside a naturally ventilated polyhouse, the microclimate varied both spatially and temporally with fogging system also due to wind effect. Thus, having accurate understanding of the microclimate inside a polyhouse helps to maintain optimal conditions for plant growth and thus improve crop yield and productivity.

Rapid Evolution of Metastases in Patients with Treated G3 Neuroendocrine Tumors Associated with NEC-Like Transformation and TP53 Mutation.

Little is known about the morphomolecular features of G3 neuroendocrine tumors (G3NETs) under prolonged systemic treatments, although rapid progression is increasingly observed. This longitudinal study aims to elucidate the course and morphomolecular features of metastasized G3NETs with high-grade transformation. Clinical and histological findings in 40 patients with metastasized and treated G3NETs, which were histologically examined at least twice with an interval time of more than 6 months (median 27), were reviewed and the morphomolecular changes recorded and assigned to treatment. Neuroendocrine carcinoma (NEC)-like histology defined by high-grade atypia, diffuse growth pattern, and/or necrosis was identified in nine (22%) G3NETs (seven pancreatic, two rectal) patients. All NEC-like tumors showed a significantly higher Ki67 increase and longer interval time betweenfirst and last examination than non-NEC-like G3NETs (53 vs. 19% and 60 vs. 24 months, respectively). Moreover, all NEC-like G3NETs had TP53 (100%), but rarely RB1 (12%) mutations, and retained NET-typical mutations such as MEN1 or DAXX (five of the pancreatic NETs). The last treatments received prior to the NEC-like transformation included PRRT (n = 3), somatostatin analog, everolimus, sunitinib (n = 1 each), and alkylating agents (n = 2). Abrupt clinical progression in patients with metastasized G3NETs is associated with a significant increase in Ki67, accelerated growth, and NEC-like histology. These findings are most likely attributable to the novel TP53 mutation, which was detected in all nine cases at the last evaluation. However, none of the cases exhibited a complete transformation to a typical NEC, as the tumors retained partial histological and genetic features of NETs.

Evaluating the impact of a specialized and centralized online medical consultation system for paramedics: pilot study.

There are many limitations to utilizing on-duty emergency department (ED) physicians as Base Hospital Physicians for paramedic telephone consultations. We aimed to examine the impact of a specialized and centralized Online Medical Consultation program for paramedic consultations on system-relevant performance. This is a before-after study with concurrent control using health record review of audio recordings over a 6-month period before and after implementation of the Online Medical Consultation program. The primary outcome was the duration of paramedic consultation calls. The secondary outcomes included number of calls with orders that contradicted existing medical directives, number of calls with orders outside of paramedic scope of practice, number of calls with Base Hospital Physician requiring clarification on medical directives, and number of calls with Base Hospital Physician interrupting the paramedic during the call. We included 220 consultation calls. The patients' mean age was 54.5years. Most consultation calls (70.5%) were for mandatory consultations and 22.7% were voluntary. Most consultations were related to cardiac arrest (43.6%), combative patients (15.0%), and analgesia (13.6%). Before-after comparisons for total call duration showed that mean call duration decreased in Ottawa from 4:28 to 4:05min (p = 0.77) and decreased in Kingston from 4:50 to 4:13min (p = 0.49). There were no significant differences in our secondary outcomes. The Online Medical Consultation program was implemented and removed the responsibility of responding to online medical consultations for on-duty emergency physicians in Ottawa. The total call duration was not significantly different between groups. Additional time intervals and adherence to protocol benefits were also not statistically significant due to low baseline incidence.

A Liquid Well Barrier Element for Temporary Plug and Abandonment Operations: A Breakthrough Approach

Plug and abandonment (P&A) operations demand valuable time and resources for operational procedures and materials to establish the well barrier element. This study aims to investigate the application of a water-based fluid as a liquid well barrier element for temporary abandonment, based on estimates of its lifespan and the survival probabilities of downhole temperatures acquired through accelerated life tests. To achieve this, the water-based formulation was tested and exposed to 95, 110, 140, and 150 °C temperatures for time intervals ranging from 1 to 10 days. After the temperature exposure, the fluid properties were verified, and failure was detected by accounting for any deterioration in rheological parameters and/or a substantial increase in filtrate volume. A statistical analysis of the failure data was performed in RStudio 4.1.3 software using the Weibull Model, and the fluid average lifespans and survival probabilities were estimated for the P&A temperatures. The results obtained demonstrate that the degradation of the fluid was only observed for 140 and 150 °C temperatures. According to the results, the fluid is a promising alternative for temporary abandonment until 80 °C, with no need for monitoring once its lifetime expectation exceeds three years at this temperature. For downhole temperatures above 80 °C, the fluid is a possible alternative, however, the operation’s maximum time and monitoring requirements should consider reliability metrics for each temperature.

Genomic Analysis and Expression Dynamics of GH3 Genes Under Abiotic Stresses in Brassica rapa

ABSTRACTIn silico characterization of the Gretchen Hagen3 (GH3) gene family is required for understanding phytohormone regulation and stress responses in Brassica rapa to develop the improved stress‐tolerant cultivars. The main objective of this research was to identify the key BrGH3 genes under different abiotic stresses. Using bioinformatics tools, a total of 27 BrGH3 genes were identified in B. rapa for which phylogenetic relationship, syntenic pairing, conserved motifs, miRNA regulation, and cis‐regulatory elements of BrGH3s were also studied. BrGH3 gene expression has been examined in numerous tissues and under various abiotic and phytohormone stressors. Phylogenetic studies separated BrGH3 genes into three major classes and nine subclasses based on gene functional evolution. Collinearity analysis demonstrated that all BrGH3 genes had syntenic linkage with AtGH3, BnaGH3, and BolGH3, indicating that genome duplication mechanisms were crucial to BrGH3 gene evolution. The expression dynamics of BrGH3 under diverse phytohormonal stresses methyl jasmonate (MeJA), auxin (IAA), abscisic acid (ABA), gibberellic acid (GA), and salicylic acid (SA) at different time intervals suggest that BrGH3‐5.1 has a consistently greater expression than other BrGH3 genes. Under salt, drought, and low temperature stress, BrGH3‐1 and BrGH3‐4 genes expressed comparatively higher. The findings suggest that five genes (BrGH3‐5.1, BrGH3‐5.2, BrGH3‐15, BrGH3‐17.2, and BrGH3‐19) have a key role in inducing broad stress resilience. These results can be beneficial in developing stress‐tolerant varieties of Chinese cabbage.

Pharmacokinetic analysis and simplified uptake measures for tumour lesion [18F]F-AraG PET imaging in patients with non-small cell lung cancer.

The novel positron emission tomography (PET) imaging tracer, [18F]F-AraG, targets activated T-cells, offering a potential means to improve our understanding of immune-oncological processes. The aim of this study was to determine the optimal pharmacokinetic model to quantify tumour lesion [18F]F-AraG uptake in patients with non-small cell lung cancer (NSCLC), and to validate simplified measures at different time intervals against the pharmacokinetic uptake parameter. Ten patients with early-stage NSCLC and three patients with advanced NSCLC underwent a dynamic PET scan of minimal 60min. Venous and/or arterial blood sampling was obtained at maximum seven time points. Tumour lesion time activity curves and metabolite-corrected input functions were analysed using single-tissue reversible (1T2k), two-tissue irreversible (2T3k) and two-tissue reversible (2T4k) plasma input models. Simplified uptake measures, such as standardised uptake value (SUV) and tumour-to-blood (TBR) or tumour-to-plasma ratio (TPR), were evaluated for different time intervals. Whole-blood and plasma radioactivity concentrations showed rapid clearance of [18F]F-AraG. Metabolite analysis revealed a low rate of metabolism, at 70min p.i., on average, 79% (SD = 9.8%) of the total radioactivity found in blood corresponded to intact [18F]F-AraG. The time activity curves were best fitted by the 2T3k model. Strong positive correlations were found for SUV (body weight (BW), lean body mass (LBM) or body surface area (BSA) corrected), TBR and TPR for any time interval between 20 and 70min p.i. against the 2T3k-derived Ki. The correlation of TBR at 60-70min p.i. with 2T3K-derived Ki (r (df = 20) = 0.87, p < 0.01), was stronger than for SUVBW (r (df = 20) = 0.80, p < 0.01). Tumour lesion [18F]F-AraG uptake in patients with NSCLC is characterised by a 2T3k model. TBR and TPR show most potential for simplified quantification of tumour lesion [18F]F-AraG uptake in patients with NSCLC.

Bayesian estimates for changes of the Russian river runoff in the 21st century as based on the CMIP6 model ensemble simulations

Based on ensemble calculations with the CMIP6 (Coupled Model Intercomparison Project, phase 6) climate models and using Bayesian averaging, an analysis was conducted on the changes in the 21st century runoff of several Russian rivers – the Volga, Ob, Yenisei, Lena, Amur, and Selenga. Bayesian weights considered the quality of models’ reproduction of runoff (long-term average runoff, linear runoff trend over the time interval with available runoff observations, interannual and interdecadal variability). The quality of runoff characteristics reproduction by individual models in the CMIP6 ensemble varies most significantly for the long-term average runoff, runoff trend, and, to a lesser extent, for interannual variability. In the 21st century, the ensemble average runoff increases for most of the analyzed rivers, except for the Volga. This increase is more pronounced under scenarios with larger anthropogenic impacts. It is especially significant for the SSP5-8.5 scenario (Shared Socioeconomic Pathways, 5-8.5), under which the runoff increase trend from 2015 to 2100 relative to its current long-term average is (10 ± 4)% for the Ob, (16 ± 3)% for the Yenisei, (39 ± 7)% for the Lena, (36 ± 7)% for the Amur, and (18 ± 6)% for the Selenga. The primary reason for the change in ensemble average runoff in the 21st century in models under all SSP scenarios is the change in precipitation. Accounting for differences in model quality in reproducing river runoff on average for 2015–2100 reduces inter-model deviations relative to the corresponding values with uniform weighting of model results by 6–26%, depending on the SSP scenario and river basin.

Mitigating Intermittent Connectivity Problems in Vehicle-to-Vehicle Communication (V2VC): A Sparse Network Computational Model (SNCM)

INTRODUCTION: Wireless communication has made remarkable progress, by the rapid development of wireless technology in Artificial Intelligence (AI). Intelligent Transportation Systems (ITS), and Vehicular Ad Hoc Networks (VANETs) have received significant attention to ensure safety. However, V2V communication in VANETs faces uncontrollable challenges due to frequent intermittent connectivity issues in infrastructure-less networks. Addressing these problems in both safety and non-safety applications is a complex task.OBJECTIVES: To mitigate the intermittent connectivity problems, a novel Sparse Network Computational Model (SNCM) was proposed.METHODS: Extensive simulations using MATLAB to analyze the impact of spatial-temporal variations under different traffic flow densities. We varied the sensitivity factor (λ) at different time intervals while maintaining a constant traffic density. RESULTS: The findings indicate that there is no need to increase λ beyond certain thresholds for each level of service. The simulation results provide valuable guidelines for designing sparse networks, effectively mitigating frequent intermittent disconnections. Simulation experiments revealed an optimal threshold for the sensitivity factor λ for each level of service. Increasing λ beyond certain thresholds did not yield significant improvements in mitigating disconnections in V2V communication.CONCLUSION: The results provide valuable insights and guidelines for designing sparse networks to enhance connectivity and address intermittent disconnection issues. This paper presents a groundbreaking endeavor, and therefore, direct comparisons with existing protocols to evaluate its overall performance are beyond the scope of this paper. Instead, the SNCM protocol is intended to set a standard for future researchers to benchmark their research contributions against.

The Impact of Neoadjuvant versus Adjuvant Chemotherapy on Survival Outcomes in Locally Advanced Breast Cancer

The utility of neoadjuvant chemotherapy is expanding in the treatment of breast cancer. Although individual trials have shown comparable survival between patients receiving neoadjuvant and adjuvant chemotherapy, large-scale data analyses for outcomes in patients with locally advanced breast cancer (LABC) are lacking. We conducted an individual-level statistical analysis using patients from six randomized controlled trials (RCTs) investigating survival outcomes with neoadjuvant versus adjuvant chemotherapy in breast cancer by abstracting and analyzing only the patients with LABC. Individual patient data for 779 patients with LABC were collected from six RCTs. Overall and disease-free survival rates were compared between patients receiving neoadjuvant vs. adjuvant chemotherapy with the Cox hazard model and log-rank statistics. Since chemotoxicity causing delays to surgical care is a potential drawback of neoadjuvant chemotherapy, local cohort data were then employed to assess the actual incidence of this, along with the causes behind any delays to surgery in patients receiving neoadjuvant chemotherapy. A time interval from neoadjuvant chemotherapy to surgery of &gt;8 weeks was investigated in a local cohort of 563 patients, representing all locally treated patients receiving neoadjuvant chemotherapy between 2006 and 2019. The statistical analysis demonstrated no overall or disease-free survival differences in LABC patients receiving neoadjuvant vs. adjuvant chemotherapy (p = 0.96 and 0.74, respectively). Within our cohort, 31 (5.5%) patients treated with neoadjuvant chemotherapy experienced a delay of &gt;8 weeks to surgery, with only 13 (2.3%) attributed to chemotherapy-related complications. Our study provides further support for the paradigm shift towards delivering chemotherapy for breast cancer patients in the neoadjuvant setting.

Methyl jasmonate effects on Lactuca serriola L.: Antioxidant defense and bioactive compound changes.

The effect of methyl jasmonate (MeJA) foliar spray on the activity of antioxidant enzymes-Superoxide dismutase (SOD), Catalase (CAT), Ascorbate peroxidase (APX), and Guaiacol peroxidase (GPX)-along with assessments of total phenolic and flavonoid contents and antioxidant activity (IC50), was examined in Prickly lettuce (Lactuca serriola L.). The study involved treating plants with three MeJA solutions (0, 200, and 400 µM) and harvesting samples at four distinct time intervals. Varied MeJA concentrations and time intervals resulted in a substantial increase in the activity of all the antioxidant enzymes investigated in this study. Both concentration levels and time courses exhibited progressive outcomes. Moreover, MeJA treatment led to elevated levels of total phenolic and flavonoid contents, reaching peaks of 17.02 (mg GAL/g DW) and 8.3 (mg QUE/g DW), respectively, particularly in response to the 400 µM concentration. However, the total flavonoid content did not show any significant variation between the two concentrations. Based on the half-maximal inhibitory concentration (IC50) values, the antioxidant activity in MeJA-treated plants was found to be lower compared to the controls. However, our findings suggest that, under specific conditions discussed in this study, MeJA has the potential to enhance the nutritional value of L. serriola.

Pro-inflammatory cytokines gene expression in liver and kidneys of rats exposed to a sub-lethal dose of Bitis arietans snake venom.

Bitis arietans (Puff adder) is a poisonous snake and its bite causes pain, edema, blistering, tissue damage and neutrophilia. There are limited studies on inflammatory process involved in Bitis arietans envenomation. We therefore investigated the role of proinflammatory cytokines in Bitis arietans venom (BAV)-induced liver and kidney toxicities in rats. Adult male Sprague Dawley rats were treated with BAV (0.5 mg/kg) and were sacrificed after specific time intervals (2 h, 24 h, 1 week). Blood samples were collected for liver and renal function tests and tissues were collected for histopathology and gene expression analysis of IL-1β, IL-6, and TNF-α in liver and kidneys. There was no significant difference in serum ALT activities among different treatment groups. Serum AST was significantly increased at 24 h following BAV injection. In both organs, injection of BAV resulted in mild inflammatory cell infiltration at 2 h post-dosing which normalized after 1 week. In liver, there was a significant increase in IL-1β expression in BAV-treated rats at 2 and 24 h post-dosing that reduced after one week. Significant increases in IL-6 and TNF-α were observed at 24 h and 1 week after BAV exposure. In kidneys, there were significant increases in IL-1β and TNF-α expression at 24 h that subsided after 1 week. In conclusion, a single sub-lethal dose of BAV caused an acute phase inflammation in liver and kidneys. It is most probable that a higher dose of BAV may result in greater and irreversible damage to these organs.

Efficacy of human interleukin-11 analogs for treating dengue fever-associated thrombocytopenia: a prospective cohort

AimDengue fever (DF), carried by Aedes mosquitoes, affects millions worldwide. Platelet-inducing human IL-11 analogues may be effective in treating DF-associated thrombocytopenia.MethodologyA prospective study was done at Dr. Ziauddin Hospital, a tertiary care hospital in Karachi, Pakistan, from September 2023 to April 30, 2024.ResultsThis study recruited 300 DF patients characterized by thrombocytopenia (platelet count < 30,000), including 159 in the treatment and 141 in the control group. The median age of patients was 34 ± 11.05 years, with 187 males (62.3%) and 113 females (37.7%). The treatment group had a higher proportion of fever (80%, p < 0.0001) and headache (96%, p = 0.012) compared to the control group; however, no significant changes were observed in other clinical parameters between the two groups. Following treatment for 5 days, platelet counts of the treatment group increased significantly in response to IL-11 treatment compared to the control group at all time intervals (day 0, day 1, day 2, day 3, day 4, and day 5). Following treatment, males consistently exhibited higher platelet counts than females (all p < 0.05). In addition, patients admitted on day 3 of their course of illness showed a significantly slow response to the treatment compared to those admitted on day 5. Although young individuals exhibited a significant increase in platelet count, the age showed no significant intergroup differences.ConclusionsIL-11 analogs have promising potential for treating DF-associated thrombocytopenia. Additional investigation is necessary to refine administration protocols and examine the wider therapeutic ramifications of IL-11 in managing DF.

Outcomes of Patients Undergoing Elective Cancer Surgery After SARS-CoV-2 Infection: An Observational Cohort Study.

We evaluated the impact of preoperative SARS-CoV-2 infections on postoperative outcomes among patients undergoing elective cancer surgery. This ambidirectional (retrospective and prospective) study was conducted among patients undergoing elective cancer surgery between December 2022 and March 2023. Patients with different time intervals between SARS-CoV-2 infection and surgery (0-6 weeks and ≥7 weeks) were compared with those without SARS-CoV-2 infection. The primary outcome was 30-day postoperative pulmonary complications (PPCs). Secondary outcomes included 30-day postoperative mortality, major adverse cardiovascular events (MACE), and other postoperative adverse outcomes. Of the 830 patients analyzed, 239 (28.8%) had SARS-CoV-2 infection 0-6 weeks before cancer surgery, and they had a higher incidence of PPCs (4.6% in no SARS-CoV-2 infection, 12.1% in 0-6 weeks, and 5.1% in ≥7 weeks, p = 0.001). The logistic regression model revealed that, compared with patients without SARS-CoV-2 infection, surgery performed 0-6 weeks after SARSCoV-2 infection was associated with a higher risk of PPCs (adjusted odds ratio [aOR] 2.83; 95% confidence interval [CI] 1.34-5.98), and surgery performed ≥7 weeks after SARSCoV-2 infection was associated with a similar risk of PPCs (aOR 1.19; 95% CI 0.54-2.64). However, preoperative SARS-CoV-2 infection was not associated with a risk of 30-day postoperative mortality, MACE, or other adverse postoperative outcomes. In patients with preoperative Omicron variant infection, nonemergency cancer surgery can be scheduled ≥7 weeks after the infection to decrease the risk of PPCs, but it can be advanced if the risk of delay exceeds the risk of proceeding with the surgery.

Time to response with ravulizumab, a long-acting terminal complement inhibitor, in adults with anti-acetylcholine receptor antibody-positive generalized myasthenia gravis.

The efficacy and safety of ravulizumab, a terminal complement C5 inhibitor, in adults with anti-acetylcholine receptor antibody-positive (AChR Ab+) generalized myasthenia gravis (gMG) were demonstrated in the CHAMPION MG study (NCT03920293). This analysis aimed to characterize the latency to onset of a clinically meaningful therapeutic effect for ravulizumab. Post hoc analysis of data collected for up to 60 weeks from CHAMPION MG was performed to assess the timing of response to ravulizumab. Response was analyzed based on reductions of ≥2 and ≥3 points (minimal clinically important differences [MCIDs]) in Myasthenia Gravis-Activities of Daily Living (MG-ADL) and Quantitative Myasthenia Gravis (QMG) total scores, respectively, and on more rigorous reductions of ≥3 and ≥5 points, respectively. Time to first response was assessed using the Kaplan-Meier product-limit method. The median (95% confidence interval) time to first response was 2.1 (2.1-2.6) and 4.1 (2.3-10.0) weeks for reductions of ≥2 and ≥3 points in MG-ADL total score, respectively (n = 139), and 4.1 (2.1-10.0) and 18.3 (11.0-33.4) weeks for reductions of ≥3 and ≥5 points in QMG total score, respectively (n = 134). Cumulative response rates at Week 60 (data cut-off) were 88% and 82% for ≥2- and ≥3-point MG-ADL score reductions, respectively, and 86% and 59% for ≥3- and ≥5-point QMG score reductions, respectively. The median times to MCID with ravulizumab treatment in patients with AChR Ab+ gMG were ~2 weeks and ~4 weeks based on MCID MG-ADL and QMG total score reductions, respectively.

The Route to ROSC: Evaluating the Impact of Route and Timing of Epinephrine Administration in Out-of-Hospital Cardiac Arrest Outcomes.

Previous investigations comparing intraosseous (IO) and intravenous (IV) epinephrine delivery in out-of-hospital cardiac arrest (OHCA) suggest that epinephrine is oftentimes more expeditiously administered via the IO route, but this temporal benefit doesn't always translate to clinical benefit. However, very few studies adequately controlled for indication and resuscitation time biases, making the influence of first epinephrine route on OHCA outcomes unclear. To determine the association between first epinephrine route and return of spontaneous circulation (ROSC) while controlling for resuscitation time bias and other potential confounders. We conducted a retrospective analysis using the 2020 ESO Data Collaborative dataset. Adult patients with a witnessed, non-traumatic OHCA prior to EMS arrival were included. Logistic regression was used to determine the association between medication route and ROSC. Linear regression was then used to calculate the probability of ROSC for each route across all call receipt-to-drug delivery intervals. Using these linear equations, the call receipt-to-drug delivery intervals were calculated that would yield equivalent probabilities of ROSC between the IV and IO routes. Data were available for 10,350 patients, of which 27.4% presented with a shockable rhythm, 29.7% received bystander CPR, and 39.6% experienced ROSC. After controlling for confounders, IO epinephrine was associated with decreased likelihood of ROSC (OR = 0.77, p < 0.001). The linear regression models provided differing slope coefficients for ROSC between each route, with the IV route associated with a higher likelihood of ROSC for any given call receipt-to-drug-delivery interval. From these equations, the additional time allowed to establish an IV and administer epinephrine intravenously beyond the time required for IO delivery, yet with an equivalent predicted probability of ROSC via the IO route, was calculated. This additional time interval for intravenous administration declined linearly from 9 minutes at a call receipt-to-intraosseous epinephrine interval of 4 minutes to no additional time at a call receipt-to-intraosseous epinephrine interval of 29 minutes. This retrospective analysis of a national EMS database revealed that IO epinephrine was negatively associated with ROSC. Additionally, there appears to be a finite time window during which intravenous epinephrine remains superior to the intraosseous route even if there are brief initial delays in IV drug delivery.

Single-cell RNA sequencing identifies a subtype of FN1 + tumor-associated macrophages associated with glioma recurrence and as a biomarker for immunotherapy

BackgroundGlioma is the most common primary malignant tumor in the brain, and even with standard treatments including surgical resection, radiotherapy, and chemotherapy, the long-term survival rate of patients remains unsatisfactory. Recurrence is one of the leading causes of death in glioma patients. The molecular mechanisms underlying glioma recurrence remain unclear.MethodsOur study utilized single-cell sequencing, spatial transcriptomics, and RNA-seq data to identify a subtype of FN1 + tumor-associated macrophages (FN1 + TAMs) associated with glioma recurrence.ResultsThis study revealed an increased abundance of FN1 + TAMs in recurrent gliomas, indicating their potential involvement as a critical factor in glioma recurrence. A negative correlation was observed between the abundance of FN1 + TAMs in primary gliomas and the interval time to recurrence, suggesting poor prognosis for glioma patients with high levels of FN1 + TAMs. Further investigation showed that FN1 + TAMs were enriched in hypoxic tumor regions, implying that metabolic changes in tumors drive the production and recruitment of FN1 + TAMs. Additionally, FN1 + TAMs were found to contribute to the regulation of an immunosuppressive microenvironment in gliomas, and their abundance might serve as an indicator of patients’ sensitivity to immunotherapy. Finally, we developed a user-friendly website, PRIMEG (http://www.szflab.site/PRIMEG/), for exploring the immune microenvironment of primary and recurrent gliomas.ConclusionOur findings highlight a subtype of FN1 + TAMs associated with glioma recurrence, providing new insights into potential therapeutic targets. Moreover, the abundance of FN1 + TAMs hold promise for predicting immune therapy response and aiding in more precise risk stratification of recurrent glioma patients.

1- and 2-year outcomes and predictors of weight loss after gastric sleeve to Roux-en-Y gastric bypass conversion: a retrospective cohort study.

Sleeve gastrectomy to Roux-en-Y bypass conversion is a commonly performed procedure, yet data are limited on outcomes and their predictors. The purpose of this study is to characterize the long-term outcomes of patients after sleeve-to-bypass conversion and identify predictors of post-conversion outcomes. We performed a retrospective cohort study of patients who underwent sleeve-to-bypass conversion for obesity across four hospitals from 06/2017 to 04/2023. Predictors of the below-average percent excess weight loss (%EWL; relative to pre-conversion weight) at 1 and 2years following conversion were identified using multivariate logistic regression models adjusting for comorbidities, demographics, and neighborhood socioeconomic status. 150 Patients undergoing sleeve-to-bypass conversion were identified. 99 had 1-year data and 63 had 2-year data. Mean %EWL at 1- and 2-years following conversion were 40.2% and 37.4%, respectively. EWL > 40% after sleeve gastrectomy was an independent predictor of the below-average %EWL 1-year post-conversion (OR 10.0, 95% CI 2.2-63.0, p < 0.01), and BMI > 40kg/m2 at the time of conversion was an independent predictor of both 1- and 2-year below-average %EWL post-conversion (p = 0.01 and 0.05, respectively). Insignificant predictors of the below-average %EWL after conversion included: weight regain after sleeve, time between sleeve and conversion, alimentary limb length, and any bariatric surgery prior to sleeve gastrectomy. Patients should be counseled that the typical expected %EWL for sleeve-to-bypass conversion is less than the 50% EWL benchmark of success for index bariatric operations. The main predictors of a suboptimal conversion outcome are > 40% EWL after sleeve or > 40 BMI kg/m2 at the time of conversion. Most variables in our analysis were not predictors of post-conversion %EWL, including weight regain between sleeve and conversion, alimentary limb length, and time interval between procedures, which suggests that these factors should not play a large role when considering sleeve-to-bypass conversion.

Applying machine learning algorithms to group the energy performance of existing buildings by different granularity level of energy data

ABSTRACT Recent technology advancement has extended smart-metering capability, enabling measurement of fine-grained building energy consumption. These massive energy data provide options to apply machinelearning in building energy analysis. However, the energy details needed depend on the building feature being analyzed. Unlike system faults and user-related inefficiencies, degradation in building thermal performance results in a steady energy increase that can be reflected even with coarse-grained energy data. This study assesses whether energy data of low temporal resolution can be used to provide insight into building energy efficiency. It evaluates the application of machine learning in clustering buildings based on their thermal characteristics using energy data of different time intervals. Through k-means clustering, buildings are clustered using their hourly, daily, and monthly heating energy. The results indicate that all three granularities can identify buildings with high window transmittances and infiltration rates. These findings present an opportunity for applying machine learning not only for modern buildings with advanced metering systems but also for aging buildings that makes the majority of the existing building stock. The study presents a practical method to identify and prioritize buildings for energy retrofit, an important step toward an effective energy upgrade of a large-scale building using machine learning.

Effect of Prior Transurethral Prostate Resection (TURP) or Laser Enucleation (ThuLEP) on Radiotherapy-Induced Toxicity and Quality of Life in Prostate Cancer Patients Undergoing Definitive Radiotherapy

In our study, the post-radiotherapy quality of life of prostate cancer patients who previously underwent transurethral resection of the prostate (TURP) is compared to those who had thulium laser enucleation of the prostate (ThuLEP) and those who had no prior surgery. It also aims to identify and assess risk factors affecting therapy tolerance in this patient group. We analyzed 132 patients with localized prostate cancer treated with definitive radiotherapy (RT), including 23 who had prior TURP and 19 who previously underwent ThuLEP. A total of 62% of patients underwent irradiation within 12 months after surgery. We included only patients treated with radiotherapy using the IMRT technique. Changes in patient-reported urinary toxicity were evaluated using the International Prostate Syndrome Score (IPSS) and the quality of life index of the World Health Organization (QoL/WHO-PSS) over a three-year post-radiotherapy period. Patients with prior TURP experienced significant deterioration in QoL and IPSS immediately after irradiation (p &lt; 0.001), whereas those without previous surgery showed both less significant differences in IPSS and QoL scores. In conclusion, patients with previous TURP/ThuLEP differ from those without previous surgery in urinary quality of life and acute and chronic urinary symptom profiles after RT. The surgical technique (ThuLEP vs. TURP) and the time interval to irradiation are crucial factors affecting RT tolerance in acute and late settings. The previously operated patient group reported a significantly longer period of increased symptom burden.

Kinetics of moisture exchange during convection drying of thin flat wet materials

The kinetics of convective drying of thin wet thermal insulation materials based on the relative drying rate and relative moisture contents has been studied. Processing of experimental data on drying of various wet materials has established that the relative drying rate is related to the relative moisture contents, which are the ratios of the current moisture content to its critical and initial values. Based on the functional dependence of the relative drying rate on the relative moisture contents using the processing of the experiment on drying of ceramics, felt, and asbestos, equations for calculating the drying time are obtained. The dependence of the relative drying rate on the ratio of the current moisture content to the critical one is given. Zonal methods for calculating the drying time are given, based on the drying rate curve. An expression for determining the drying coefficient is developed. Based on the analysis of experimental data on drying porous ceramics, sheet asbestos, and wool felt, graphs of the dependence of the relative drying rate on the ratio of the current moisture content to the initial one are constructed. Dependencies for determining the critical moisture content of the material are given. The considered method of processing experimental data allows obtaining all the main equations for calculating the kinetics of the drying process. A variant of estimating the drying time based on one experiment with a short time interval is given. A comparison of the calculated values according to the equations with the experiment is performed. The spread of the calculated values is in the range of experimental error. The formulas for calculating the drying time obtained without plotting the drying rate curve allow significantly reducing the time of processing the experimental data and can be applied to other materials.