Composition Parameters Research Articles

CHANGES IN BODY COMPOSITION INDUCED BY ORTHODOX RELIGIOUS FASTING ON HIGH SCHOOL STUDENTS

Scientific research in recent decades has increasingly focused on changes in body composition influenced by Orthodox religious fasting, which the Church has established before major holidays. The purpose of this study is to provide more information on how body composition parameters changed among high school students who followed the recommendations of Orthodox religious fasting for forty days (during Lent). A sample of twenty-eight students from Holy Cyril and Methodius High School in Niš was analyzed . The average age of all male participants was 17.4 ± 1.2 years. Anthropometric measures were taken both before and after the 40-day fast. The Omron BF 511 device, which provided information on body weight, BMI (body mass index), percentage of body fat, percentage of skeletal muscle, and basal metabolic rate, was used to measure body composition values. The acquired data were subjected to statistical analyses, including ANOVA and MANOVA for repeated measures. The results show a statistically significant difference (p = 0.012) between the initial and final measurements based on the MANOVA analysis. This study indicates that students interested in reducing weight while maintaining their muscle mass could benefit from practicing Orthodox religious fasting for 40 days. Further research is needed to confirm these results and explore the long-term effects of religious fasting and the post-fasting period, particularly for this participant sample.

Visceral Obesity and Its Association with Severe Coronary Artery Calcification in Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease.

Background/Objectives: The role of body composition parameters in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) with presence and severity of coronary artery calcification (CAC) is still not fully elucidated. We aimed to evaluate the impact of computed tomography (CT)-based body composition parameters in patients with MASLD with CAC severity. Methods: In this multicenter study, 1870 individuals underwent cardiac CT for the detection of CAC as well as ultrasonography for the diagnosis of hepatic steatosis. The presence of CAC was defined by a CAC score threshold of >0, while severe CAC was defined by a threshold of >300. Using the abdominal cross-sectional CT images at the L3 vertebra level, we analyzed the skeletal muscle index, visceral to subcutaneous adipose tissue ratio, and muscle density using the Hounsfield unit. Results: Of 648 patients with MASLD, the proportions of presence of CAC and severe CAC were 45.2% and 9.9%, respectively. Visceral obesity was not associated with the presence of CAC after adjustment for age, sex, smoking, statin therapy, type 2 diabetes, and advanced fibrosis (adjusted odds ratio (aOR), 1.38; 95% confidence interval (CI), 0.86-2.23; p = 0.180). However, visceral obesity was independently associated with severe CAC after adjustment for several metabolic risk factors (aOR, 3.54; 95% CI, 1.25-14.90; p = 0.039), and adjustment for atherosclerotic cardiovascular disease risk scores (aOR, 3.74; 95% CI, 1.31-15.79; p = 0.032). Conclusions: Visceral obesity may serve as a novel prognostic CT-based radiological biomarker for patients with MASLD with severe CAC.

Prognostic Value of Myosteatosis and Albumin-Bilirubin Grade for Survival in Hepatocellular Carcinoma Post Chemoembolization.

This study aimed to investigate the prognostic value of preoperative myosteatosis and the albumin-bilirubin (ALBI) grade in patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) and develop a robust prognostic score based on these factors. Patients with HCC who underwent TACE between January 2009 and December 2020 were included. Multivariate Cox regression analysis identified prognostic factors. CT-based body composition parameters were acquired from baseline abdominal CT images at the level of the third lumbar vertebra. A prognostic score (Myo-ALBI) was developed based on the presence of preoperative myosteatosis and the ALBI grade, and its prognostic value was evaluated. Of 446 patients, 63% were male, and the mean age was 62.4 years. Preoperative myosteatosis was present in 41.5% of patients. The BCLC stages were mostly B (67.9%). Multivariate analysis shows that preoperative myosteatosis, ALBI grade 2, and ALBI grade 3 were independent prognostic factors. The Myo-ALBI grade was incorporated into a prognostic model, including alpha-fetoprotein and up-to-seven criteria, to generate a nomogram. The C-index of the nomogram based on the Myo-ALBI grade (0.743) was significantly higher than the non-Myo-ALBI nomogram (0.677), the up-to-seven criteria (0.653), the ALBI grade (0.616), and the Child-Pugh class (0.573) (all p < 0.05). The t-ROC curve for the nomogram was consistently superior to the other models throughout the observation period in all patients and the BCLC-B subgroup. The combination of preoperative CT-derived myosteatosis and ALBI grade enhances prognostication for patients with unresectable HCC undergoing TACE. The Myo-ALBI nomogram constructed in this study could support individualized prognosis prediction, assisting in treatment decision-making for HCC patients.

The female athlete—reliability of body composition analyses during the female menstrual cycle in young women without hormonal contraception

Abstract Background The menstrual cycle (MC) is characterized by rapid changes of female sexual hormone concentrations with consecutive water retention alterations, which in turn might affect underlying parameters of body composition (BC) analyses in terms of air-displacement plethysmography (ADP) or bioelectrical impedance analysis (BIA). Objective The purpose of this study was to evaluate BC and the assessment’s reproducibility and reliability during the MC. Methods In a repeated measures design with four time points (t1–t4) and a double testing within 10 min at t1 (t1.1–t1.2) covering a complete MC (t1.1: start of menstruation [t1.2: double testing], t2: late follicular, t3: ovulation, t4: mid-luteal), 17 eumenorrheic women without hormonal contraception (age: 24.8 [18.5–33.1] years, body mass index [BMI]: 23.3 [18.0–27.8] kg/m2) were examined by means of ADP (BODPOD GS‑X, Cosmed, Rome, Italy) and BIA (mBCA 515/514, Seca, Hamburg, Germany) in order to determine reliability (intraclass correlation [ICC2.1]) and within-subjects variability (standard error of the measurement [SEM], minimal detectable change [MDC], coefficient of variation [CV%]) covering the complete MC (t1–t4). Results The CV% showed small variations ranging between 0.8 and 2.7%, except for the BIA reactance (4.2%). Reliability was excellent (ICC2.1 &gt; 0.9) for all BC parameters and all intervals (t1.1 vs. t1.2, t2, t3, and t4, respectively), except for the reactance (0.7 &gt; ICC2.1 &gt; 0.55). Conclusion Reproducibility and reliability of BC analyses were not influenced by the MC. Thus, BC of female athletes may be determined irrespective of the phase of their MC. Future research might cover more than one MC or consider women with hormonal contraception or males serving as controls.

Interpretable reduced-order optimization research for improving indoor environmental quality in buildings based on dimensional analysis and surrogate-based optimization

Implementing large-scale optimization designs and identifying optimal design variables in fields such as architectural engineering is crucial for improving indoor environmental quality. However, the high-dimensional nonlinear characteristics complicate the understanding of the optimization process and increase the difficulty of finding optimal solutions. This study proposes an interpretable reduced-order optimization (ROO) method based on dimensional analysis, which integrates numerous variables into a single reduced-order coefficient through a power form. The goal is to develop a reduced-order and approximately one-dimensional nonlinear relationship during the optimization process and to reveal the mechanisms of single-objective and multi-objective optimization, thereby enhancing the interpretability of the optimization process. The reliability of the ROO is validated through single-objective optimization of building thermal bridges and multi-objective optimization of squirrel cage fans. The study shows that the power in the reduced-order coefficient can be used to determine the sensitivity and impact of design variables on optimization targets. The nonlinear relationship between the composite structural parameters of the building thermal bridge and the total heat flux can be reduced to an approximately one-dimensional linear relationship, significantly reducing the total heat flux of the thermal bridge by 10.3 %. The ROO accurately describes the aerodynamic performance of the fan and its high-dimensional nonlinear relationship with eight design variables, eliminating optimization conflicts among multiple operating conditions and significantly enhancing the aerodynamic performance. The ROO method proposed in this study offers a new approach to making the optimization process more interpretable, playing a crucial role in optimization design and revealing optimization mechanisms in engineering applications.

Canadian adult reference data for body composition, trabecular bone score and advanced hip analysis using DXA

DXA-derived reference data for visceral adipose tissue (VAT) and advanced hip analysis (AHA) parameters spanning the entire adult lifespan are limited. The purpose of this study was to develop age-, site- and sex-specific reference data for dual X-ray absorptiometry (DXA) -derived body composition, trabecular bone score (TBS) and advanced hip analysis (AHA) parameters across the adult lifespan. Adults (N = 908; female: 561 and male: 347) from Calgary and the surrounding area over the age of 20 years participated in this study. Participants received DXA scans of their hip (total hip [TH] and femoral neck [FN]), lumbar spine [LS], forearm [33 % site] and total body (iDXA, GE Lunar, GE Healthcare). Areal bone mineral density (aBMD, g/cm2) was captured at all sites, and body composition variables, including lean mass, fat mass and percent fat, were analyzed from the total body scan. VAT mass was assessed from total body DXA scans. Advanced hip analysis (AHA) was performed on hip scans and trabecular bone score (TBS) on the LS scans to assess bone quality. Site- and sex-specific centile curves and tables were generated using the Generalized Additive Models for Location, Scale, and Shape (GAMLSS) method. Clinicians and researchers can use these Canadian reference data as a tool to assess body composition, TBS and AHA parameters across the adult lifespan.

IMPACT OF NITROGEN FERTILIZATION ON BREAD WHEAT: SCREENING FOR CHANGES IN QUALITY, ANTIOXIDANT AND ESSENTIAL AMINO ACID CONTENT

Wheat grain has a unique nutritional value and contains health-promoting and essential components in the daily human diet. Increasing consumer awareness of health and nutrition has led to a greater focus on sustainable and healthy wheat production in the face of climate change. The aim of this study was to determine the effect of nitrogen on yield and protein characteristics as well as antioxidant capacity and essential amino acid profile of bread wheat genotypes adapted to different ecological conditions. Different nitrogen doses (0, 60, 120 and 180 kg ha-1) were applied to 15 genotypes (3 lines, 1 hybrid and cultivars) with different growth habit to determine yield, quality, antioxidant and amino acid composition parameters. As a result of this study, total phenol content, antioxidant activity and gluten index of wheat decreased although grain yield potential increased in genotypes. In the results where the genetic factor is the primary focus, it was established that the responses to nitrogen fertilizer doses exhibited variability across different years particularly the case during the dry season. With regard to the YearxNitrogenxGenotype interaction, a notable increase was observed in total phenol content and antioxidant activity, while a decline was evident in yield, protein, and wet gluten parameters, particularly in the nitrogen dose applied during the dry season. The increase in protein content contributed significantly and positively to the essential amino acid composition. However, increasing the amount of some amino acids negatively affects others. The objective of this study is to identify and contribute insights into the impact of nitrogen factor on product quality, health and nutrition issues, grain yield potential of genotypes, plant breeding and agronomic studies.

Analysis of the Relationship Between Fat Mass, Body Surface Area (BSA), and the Rate of Sports Injuries Among Students of the Department of Physical Education and Sports Sciences

This study aimed to investigate the relationship between body fat mass, Body Surface Area (BSA), and incidence of sports injuries among physical education students at higher education institutions in the Kurdistan Region of Iraq, with the University of Zakho as the primary research site. This investigation addressed the increasing prevalence of sports-related injuries in university physical education programs within the distinct sociocultural and academic milieu of Kurdistan. Employing a descriptive analytical methodology, anthropometric data, sports injury information, and personal details were collected from third- and fourth-year students at the University of Zakho. The study utilized validated questionnaires, standardized physical assessments, and robust statistical analyses, including correlation and regression models. The findings revealed statistically significant associations between body composition parameters and injury rates, with notable variations across diverse sports disciplines and academic progressions. These results reflect specific athletic practices and educational paradigms prevalent in higher education institutions in the Kurdistan Region. The study concluded that body fat mass, BSA, and sport-specific variables are significant predictors of injury risk among physical education students in these institutions. These findings underscore the necessity for evidence-based and culturally appropriate injury prevention strategies tailored to the unique characteristics of sports programs in universities across the Kurdistan Region of Iraq. Implementation of such strategies could potentially enhance student health outcomes and optimize performance in physical education curricula within the higher education system of the region.

Positive Effects of Aerobic-Resistance Exercise and an Ad Libitum High-Protein, Low-Glycemic Index Diet on Irisin, Omentin, and Dyslipidemia in Men with Abdominal Obesity: A Randomized Controlled Trial.

The aim of this research was to evaluate changes in body composition, adipokine levels, and dyslipidemia parameters in males with abdominal obesity following two distinct interventions: exercise alone and exercise combined with an ad libitum diet. This study included 44 males with abdominal obesity (mean age 34.7 ± 5.5 years, waist circumference [WC] 110.3 ± 8.5, BMI 32.0 ± 3.9), who were randomly assigned to three groups: an experimental group engaging in aerobic-resistance exercise (II, n = 16), an experimental group engaging in aerobic-resistance exercise combined with an ad libitum high-protein, low-glycemic index carbohydrate diet (III, n = 16), both interventions lasting 6 weeks, and a control group without interventions (I, n = 12). Body composition metrics (body mass index [BMI], waist circumference [WC], body fat [BF], abdominal fat [ABD]) and fat-free mass [FFM], along with biochemical blood analyses (irisin [IR], omentin [OMEN], glucose [GLU], insulin [INS], LDL- and HDL-cholesterol), were measured at baseline and after the 6-week intervention. The effects of the interventions on the analyzed variables across groups were assessed using mixed ANOVA tests with post-hoc comparisons. Effect size (ES) was also calculated using partial eta squared (ηp2). The intervention in group III resulted in a significant decrease in IR (p < 0.01, ηp2 = 0.03) by 41% and LDL-C (p < 0.01, ηp2 = 0.02) by 14%. These effects were associated with a reduction in BF (p < 0.01, ηp2 = 0.02) by 14%, ABD (p < 0.01, ηp2 = 0.03) by 31%, and WC (p < 0.01, ηp2 = 0.01) by 3%. In group II, decreases after 6 weeks of intervention were noted only in WC (p = 0.02, ηp2 = 0.01) by 1% and in INS (p < 0.01, ηp2 = 0.04) by 47%. No differences were found between groups. The use of low-glycemic index carbohydrates (p < 0.01, ηp2 = 0.06) and increased protein intake (p < 0.01, ηp2 = 0.30) led to changes in the fiber-to-energy value of the diet ratio (p < 0.01, ηp2 = 0.18) and a reduction in dietary energy value (p < 0.01, ηp2 = 0.13) by 23%, resulting in a greater energy deficit than in the II group. These findings highlight the effect of combining dietary and exercise interventions to achieve significant changes in body composition and metabolic parameters, even over a short period of intervention.

Body composition as a potential imaging biomarker for predicting the progression risk of chronic kidney disease

PurposeTo investigate whether the body composition parameters can be employed as potential biomarkers for predicting the progression risk of chronic kidney disease (CKD).Materials and methodsFour hundred sixteen patients diagnosed with CKD were included in this retrospective study. Patients with a greater than 50% decline in estimated glomerular filtration rate or progression to end-stage kidney disease were in the high-risk group, otherwise, they were in a low-risk group. Body composition area, the index, and radiodensities in the Hounsfield unit (HU), which reflect the degree of X-ray absorption, were measured on abdominal CT images. Risk factors in body composition and clinical parameters of CKD were identified by Cox regression and utilized to construct the nomogram. The performance of the nomogram was assessed using time receiver operating characteristics curves, calibration curves, and decision curve analysis.ResultsThere were 254 patients in low-risk group and 162 in high-risk group (268 males, 148 females, mean age: 55.89 years). Urea, diabetes, 24 h-urinary protein, mean arterial pressure, and subcutaneous adipose tissue radiodensity (SATd) were valuable indicators for predicting the high-risk group. The area under curve values for the nomogram of training/validation set at 1 year, 2 years, and 3 years were 0.805/0.753, 0.784/0.783, and 0.846/0.754, respectively. For diabetic CKD patients, extra attention needs to be paid to visceral to subcutaneous fat ratio and renal sinus fat radiodensity.ConclusionSATd was the most valuable noninvasive indicator of all body composition parameters for predicting high-risk populations with CKD. The nomogram we constructed has generalization with easily obtainable indicators, good performance, differentiation, and clinical practicability.Critical relevance statementRadiodensity rather than an area of adipose tissue can be used as a new biomarker of prognosis for CKD patients, providing new insights into risk assessment, stratified management, and treatment for CKD patients.Key PointsObesity is an independent risk factor for the development and prognosis of CKD.Adipose tissue radiodensity is more valuable than fat area in prognosticating for kidney disease.Parameters that prognosticate in diabetic CKD patients are different from those in other CKD patients.Graphical

Life cycle management of critical refurbishable parts of ship equipment

To ensure the product life cycle (PLC), foreign and domestic information technologies have been developed that mainly ensure the stages of design and manufacture of products, but they do not allow for automation of the design of technologies for restoration and strengthening of parts. The relevance of restoration of critical parts of ship equipment is due to dependence on foreign supplies of equipment and spare parts (SP), as well as sanctions from unfriendly states, which complicated the acquisition of SP, and the need for import independence arose. The paper shows that life cycle management of a restored part has a significant impact on the efficiency of marine fleet operation, and provides stages and main sub-stages of the life cycle of restored parts of ship equipment. Restoration of parts is considered appropriate if the required durability and savings are ensured compared to manufacturing or purchasing a new part. The concept of life cycle management of restored parts is provided. Life cycle management of restored parts includes planning, control and management of all stages, as well as decision-making to ensure the durability of the part through the use of advanced materials and coating formation technologies. The stage of the life cycle of the restored part, determining the service life of the part, the economic efficiency of its restoration and subsequent operation, is the technological process that ensures the optimal chemical composition, mechanical and structural parameters of the coating. All the properties of the restored part are laid down at the stage of designing the technological process. The prospects of using the life cycle management of the restored part are shown using the example of restoring precision parts of the fuel equipment of marine diesel engines. The use of various technologies for the same type of restored precision parts allows obtaining coatings with different chemical composition, mechanical properties, structure and, accordingly, different values of durability and cost price to ensure the specified service life of the tribological unit at an acceptable price.

Sex differences in the relationship between body composition and cardiac structure and function.

The purpose of this study was to characterize sex differences in the relationship between body composition and cardiac structure and function. In secondary analyses, we explored pathophysiologic mediators of these relationships. In a cross-sectional analysis of 25,063 UK Biobank participants (54% female, median age 55 years), the sex-specific associations of visceral adipose tissue volume (VAT), appendicular lean mass (ALM), and muscle fat infiltration (MFI) with cardiac magnetic resonance (CMR) measures of cardiac structure and function were assessed using linear regression models. Using causal mediation analysis, 10 biomarkers were explored as mediators of the relationship between adipose depots and cardiac parameters. VAT was associated with increased left ventricular mass (LVM; βwomen = 0.54, βmen = 0.00, pint = 0.01) and wall thickness (βwomen = 0.12, βmen = 0.08, pint<0.001) in women only. A similar sex-specific pattern was observed for MFI effects on LVM (βwomen = 0.44, βmen = 0.03, pint<0.001). ALM was associated with increased LVM and LV volumes in both women and men. In mediation analyses, insulin resistance as measured by triglycerides/high density lipoprotein ratio was a potential partial mediator of VAT effects on chamber dimensions. In the largest and most rigorous analyses of body composition and cardiac parameters to date, we demonstrated that VAT is associated with increased LVM and wall thickness in women but not in men. MFI association with cardiac parameters was similar to VAT, significant in women but not in men.

Obesity-related renal dysfunction: gender-specific influence of visceral adiposity and early impact of metabolic and bariatric surgery.

Renal dysfunction is a recognized complication of obesity with an incompletely characterized pathophysiology. Improvement of glomerular filtration rate (GFR) after metabolic and bariatric surgery (MBS) has been reported across all classes of renal function. Inter-gender differences with regard to correlates of renal function have been described, but the influence of body composition is an understudied area. We aimed to explore determinants of renal function in obesity and to assess its variations after MBS, with a focus on body composition parameters in males and females, respectively. We conducted a retrospective study on 196 patients who underwent laparoscopic sleeve gastrectomy, evaluated preoperatively and 6 months after the intervention. Recorded data included clinical and biochemical assessment, as well as body composition estimation via dual-energy X-ray absorptiometry. Serum creatinine-based formulas were used for the estimation of GFR. We included a total of 196 patients (80 males and 116 females), with a mean age of 41.43 ± 10.79. Median baseline body mass index was 42.6 (6.61) kg/m2 and 6 months excess weight loss (EWL) reached 71.43 ± 17.18%, in females, estimated GFR correlated negatively with visceral adipose tissue (VAT) mass (rho=-.368) and this correlation was stronger in females with type 2 diabetes mellitus. Moreover, women in the third VAT mass tertile were 5 times more likely to have reduced GFR compared to the first tertile. Renal function improved after MBS across all classes of filtration. In males, this improvement correlated with EWL (rho=.358) and lean mass variation (rho=-.412), while in females it correlated with VAT mass variation (rho=-.266). Our results are consistent with previous findings on the positive impact of MBS on renal function and suggest a more prominent impact of visceral adiposity on GFR in females.

Deep Learning-Based Fatigue Strength Prediction for Ferrous Alloy

As industrial development drives the increasing demand for steel, accurate estimation of the material’s fatigue strength has become crucial. Fatigue strength, a critical mechanical property of steel, is a primary factor in component failure within engineering applications. Traditional fatigue testing is both costly and time-consuming, and fatigue failure can lead to severe consequences. Therefore, the need to develop faster and more efficient methods for predicting fatigue strength is evident. In this paper, a fatigue strength dataset was established, incorporating data on material element composition, physical properties, and mechanical performance parameters that influence fatigue strength. A machine learning regression model was then applied to facilitate rapid and efficient fatigue strength prediction of ferrous alloys. Twenty characteristic parameters, selected for their practical relevance in engineering applications, were used as input variables, with fatigue strength as the output. Multiple algorithms were trained on the dataset, and a deep learning regression model was employed for the prediction of fatigue strength. The performance of the models was evaluated using metrics such as MAE, RMSE, R2, and MAPE. The results demonstrated the superiority of the proposed models and the effectiveness of the applied methodologies.

Artificial intelligence-based assessment of pre-operative body composition is associated with early complications after radical cystectomy.

We aimed to use a validated artificial intelligence(AI) algorithm to extract muscle and adipose areas from CT images before radical cystectomy(RCx), and then correlate these measures with 90-day post-RCx complications. A tertiary referral center's cystectomy registry was queried for patients who underwent RCx between 2009-2017 for bladder cancer. 843 RCx patients with CT imaging within 90 days preceding surgery were included, to allow for extraction of body composition parameters by AI. We assessed complications within 90 days of surgery including: wound, infectious, major complications, re-admission, and death. Multivariable logistic regressions associated pre-RCx measures to post-RCx complications. Increasing subcutaneous adipose tissue(SAT) was associated with more wound complications while patients with increasing visceral adipose tissue(VAT) had greater odds of infectious related complications. After adjusting for patient characteristics, every 10 cm2 increases in fat mass index(FMI) were associated with more infectious (OR 1.04, p=0.002) and wound (OR 1.06, p<0.001) complications. On multivariable analysis, higher pre-operative skeletal muscle index(SMI) was associated with lower odds of major complications (OR 0.75 for every 10 cm2, p=0.008), while higher intramuscular adipose(IMA) was associated with higher odds of major complications (OR 1.93, p=0.008). Automated AI body composition measurements pre-operatively are associated with post-RCx complications. These measurements, in addition to patient (ECOG performance status, smoking status) and surgical (robotic approach, continent diversion) characteristics can then be utilized to individualize patient counseling and facilitate triage of nutritional and rehabilitation efforts.

Optimal Design of Multilevel Composite Lubrication Structures on Sliding Guide Rail Surfaces

To optimize the crawling phenomenon of slides under circumstances of low speed and a heavy load, a composite lubrication structure is adopted to alleviate the crawling phenomenon. The response surface optimal-design method establishes a quadratic mathematical model for multistage composite lubrication structure parameters, including crawling time and average friction coefficient. The optimal combination parameters of multistage composite lubrication structures have been determined. The optimal ratio of lubricating oil to molybdenum disulfide (MoS2) has been identified, and a composite lubrication structure has been proposed to enhance the crawling phenomenon and friction performance of sliding guide rails under medium-speed and medium-load conditions. These research outcomes indicate that when low speed and a heavy load are present, the crawling time and friction coefficient initially diminish and subsequently augment as the width, spacing, and cycle length of the sinusoidal texture and the diameter of the hexagonal pit expand. The optimum configuration of multistage composite lubrication structures is as follows: The width of the sine-wave texture b amounts to 0.15 mm, the cycle length e is 2 mm, the spacing c is 1.5 mm, and the diameter of the hexagonal pit d is 0.2 mm. When the mass ratio of guide oil to MoS2 is 2:1, it exhibits supreme crawling resistance and antifriction attributes. In circumstances involving a medium load and speed, multistage composite lubrication structures manifest pre-eminent friction performance. These data can steer the design of multistage composite lubrication structures on the surface of slide rails.

Caproiciproducens converts lactic acid into caproic acid during Chinese strong-flavor Baijiu brewing

Strong-flavor Baijiu, a type of Chinese liquor, is produced through anaerobic solid-state fermentation in a sealed mud pit. Ethyl caproate, the characteristic flavor compound of strong-flavor Baijiu, is influenced by caproic acid-producing bacteria in the pit mud. To better understand the formation of caproic acid, this study investigated the microbial composition and physicochemical parameters of pit mud from different layers (top, middle, and bottom) in Hubei and Sichuan provinces, China. The results revealed that Caproiciproducens plays a key role in caproic acid production by using lactic acid as a substrate, with its abundance increasing with the depth of the pit mud. A strain Caproiciproducens sp. R1, isolated from the pit mud, was shown to produce caproic acid from lactic acid within an initial pH range of 5.5–9.0 and lactic acid concentrations of 1 %–5 % (m/v). In addition, inoculation of strain R1 into Huangshui (a lactic acid-rich liquid from Baijiu production) resulted in 40.72 mM caproic acid production. This study demonstrates that Caproiciproducens plays a crucial role in caproic acid production from lactic acid during the fermentation process of strong-flavor Baijiu.

Association between body composition and incisional surgical site infection after laparoscopic appendectomy for complicated appendicitis

PurposeSurgical site infection (SSI) is common after laparoscopic appendectomy, resulting in prolonged hospital stay and increased costs. This study examined the relationship between body composition parameters and risk of incisional SSI in patients with complicated appendicitis.MethodsWe included 411 patients who underwent laparoscopic surgery for complicated appendicitis at a single institution between March 2015 and October 2023. Body composition parameters were derived from preoperative computed tomography (CT). A nomogram was constructed based on the independent predictors of incisional SSI.ResultsOverall, 45 (10.9%) patients developed incisional SSI. Visceral fat area (VFA) was independently associated with risk of incisional SSI (hazard ratio 1.015, 95% confidence interval 1.010–1.020, P < 0.001). A nomogram integrating VFA and two other independent predictors (diabetes and conversion) demonstrated high discriminative (area under the curve = 0.793) and calibration abilities.ConclusionsCT-derived VFA could be a valuable predictor of incisional SSI in patients with complicated appendicitis undergoing laparoscopic surgery. A VFA-based nomogram may help in identifying patients at high risk of SSI.

Beyond Blood Sugar: Low Awareness of Kidney Disease among Type 2 Diabetes Mellitus Patients in Dalmatia—Insights from the First Open Public Call

Background and Objectives: Kidney disease (KD) is a common complication of diabetes mellitus (DM) associated with adverse outcomes of renal failure, cardiovascular disease, and mortality. The aim of this study was to determine the prevalence and awareness of the KD among the DM type 2 (T2DM) patients. Materials and Methods: This cross-sectional study was conducted at the University Hospital of Split between November and December of 2023 during an open call for DM patients. For each participant, blood and urine samples, along with relevant medical information, were collected, and adherence to the Mediterranean diet (MeDi) was assessed using the Mediterranean Diet Service Score (MDSS). Furthermore, blood pressure was measured, along with body composition and anthropometric parameters. Results: Of 252 T2DM patients with a median age of 67 years (IQR: 60–73), 130 (51.6%) were women. The median duration of T2DM was 10 years (IQR: 6–20). Despite the fact that 80.95% of total participants reported receiving dietary guidelines from any source, only 53.2% reported adhering to the suggested instructions, while according to the MDSS, only 7.2% adhered to the MeDi. The median body mass index was 27.6 kg/m2 (24.2–31), with 70.1% of participants overweight or obese. Only 6% of participants believed they had KD, but after blood and urine sample analysis, 31% were found to have KD. Conclusions: This study highlights a significant gap in awareness of KD, low adherence to MeDi, and a high prevalence of obesity among T2DM patients. Due to the increasing number of T2DM patients, it is crucial to improve healthy lifestyle education and make modifications within this group, as well as perform regular screening for KD and medical check-ups.

Hydrothermal liquefaction: exploring feedstock for sustainable biofuel production

A number of technological strategies utilizing various types of biomass for the production of hydrocarbons have been put forth but their energy intensive methods are a concern for improved efficiency of biofuel production. Hydrothermal liquefaction (HTL) has emerged as a promising and feasible technology towards utilization of lignocellulosic biomass. The suitability of different biomass feedstock for HTL is intricately tied to their macromolecular composition and process parameters. The comprehensive analysis of feedstock for hydrothermal liquefaction (HTL) signal towards the immense potential of various biomass feedstock, such as corn stover, Miscanthus, pine biomass, Spirulina, sugarcane bagasse, rice bran etc. in contributing significantly to renewable energy production. The study emphasizes that the composition of biomass is critical in influencing bio-oil yield during the HTL process. Biomass components like cellulose, hemicellulose, and lignin, each play distinct roles in determining the efficiency of conversion. Specifically, feedstock with higher cellulose and hemicellulose content, such as Miscanthus and sugarcane bagasse, demonstrate superior bio-oil yields. The analysis of proximate factors affecting HTL efficiency reveals that moisture content, ash content and high heating value (HHV) are pivotal in optimizing the process. In addition to composition and physical characteristics, the article underscores the significance of growth conditions and nutrient utilization in cultivating biomass feedstock. Integrating HTL with biomass cultivation can create a sustainable, closed-loop system where nutrients from the HTL process are recycled back into cultivation. Biomass offers a renewable energy alternative, however it also poses challenges related to land use and potential competition with food production. Sustainable practices, such as utilizing agricultural and forestry residues and optimizing collection as well as storage processes, can alleviate some of these concerns. By optimizing feedstock selection, process parameters, and integrating sustainable practices, HTL can play a decisive role in advancing biofuel production and contributing to a more sustainable energy future. The interplay between biomass composition, processing efficiency, environmental impacts, and economic feasibility is essential for realizing the full potential of HTL technology in the bio-economy. The current analysis sheds light on the relationship of bio-oil yield with macromolecular components including cellulose, hemicellulose, and lignin as well as process parameters like ash content, moisture content, higher heating value, fixed carbon and volatiles. Focusing on process optimization, this study embodies a closer analysis of literature aimed at defining optimum strategies for enhancement of HTL.