High Weight Research Articles

Structural characterization and immunoregulatory mechanism of a low-molecular-weight polysaccharide from lotus root

The extraction of polysaccharide from lotus root was highly homogenized, and the structure of the polysaccharide was not clear. Herein, we report a hot water method combined with α-amylase that was applied to extract lotus root polysaccharide. After purified, a lotus root polysaccharide fraction LP60-a with high purity and low molecule weight was obtained. Systematic characterization of the structure of LP60-a was achieved by monosaccharide composition, methylation and NMR analysis, showing that LP60-a was composed of α-1,6-glucan linked with a small amount of arabinogalactan. Conformational determination showed that LP60-a was a three-helix polysaccharide with random coil conformation. Furtherly, the immunomodulatory activities of LP60-a were investigated in RAW264.7 macrophages. The data indicated that LP60-a could enhance the proliferation and phagocytosis of macrophages significantly, and induce the expression of NO and TNF-α in macrophages without causing inflammation. Moreover, LP60-a promoted the phosphorylation of MAPK p38 and JNK, as well as NF-κB p65, indicating that LP60-a could activate RAW264.7 cells through MAPK and NF-κB signaling pathways. In conclusion, the results imply that LP60-a could enhance the immune function of macrophages, presenting a possibility to play a role as an immunomodulatory agent in dietary supplements.

ВНУТРИПОПУЛЯЦИОННАЯ ИЗМЕНЧИВОСТЬ ЭКСТЕРЬЕРНЫХ И КРАНИАЛЬНЫХ ПАРАМЕТРОВ СОНИ ЛЕСНОЙ DRYOMYS NITEDULA PALLAS, 1778 (GLIRIDAE, RODENTIA) В УСЛОВИЯХ СЕВЕРНОГО МАКРОСКЛОНА ЦЕНТРАЛЬНОГО КАВКАЗА

Based on the cariologically dated serial material on forest dormouse from the Central North Caucasian population population, we first conducted a comprehensive analysis of 45 animals (23 male and 22 females). The contrariety of the opinions in the issues of systematics (the number of intraspecific forms) and the lack of sufficient material in the scientific literature on Dryomys Nitedula Pallas, 1778, taking into account the high-profile structure of the mountain landscapes, led to this study. The intrapopulation variability of the Kariotip, 28 morphometric parameters of the body and skull, as well as 5 indices (the ratio of the tail length to the length of the body, the ratio of the zuloma width to the condilobasal skull length, the ratio of the lower jaw to the condylobasal skull length, the ratio of the width of the skull in the area of the auditory drums to the condylobasal were studied. The length of the skull, the ratio of the height of the skull in the area of the auditory drums to the width of the skull in the area of the auditory drums) taking into account the floor. In addition an attempt was made to conduct a comparative analysis of the most resistant to transformation of the skull (only 9 measures) between the West North Caucasian and Central North Caucasian populations due to the fact that animals from the the West North Caucasian population turned out to be a new subspecies (D.N. Heptneri Subsp. NOV.) Based on the analysis of mitochondrial (according to the Cytb) DNA. It should be noted that for all the body and skull seals we have studied, as well as indexes, there is no sexual dimorphism (t <3). In the conditions of the Elbrus version of the belt the Cariotic Sonya Lesnoy was studied for the first time (2n = 48, NF = 96). Allosome: X-chromosome is represented by an average submetententric, Y chromosome-the smallest element of the set. The karyotype turned out to be a persistent sign, is not subject to individual variability, respectively, has a high taxonomic weight.

Evaluating chemical venous thromboembolism prophylaxis in trauma patients at a single Australian center.

Trauma patients are at an elevated risk of developing venous thromboembolism (VTE), with the subsequent mortality in patients requiring intensive care unit admission ranging from 25% to 38%. There remains significant variability in clinical practice related to VTE prophylaxis in trauma patients due to the frequent presence of contraindications impacting the timing and consistency of application. This study aimed to assess the effectiveness of the current practice of chemical VTE prophylaxis in trauma patients at a single Australian center. A prospective review was conducted on patients admitted to the ACT Trauma Service (Canberra, Australia) from July to November 2022. The included patients were 18 years or older, without a direct contraindication to anticoagulation, who received chemical VTE prophylaxis with low-molecular-weight heparin (enoxaparin) for at least three doses and underwent subsequent testing of anti-factor Xa (aFXa) levels. During the study period, 187 patients were admitted, of whom 63 were included in the study. Of these, 47 patients achieved therapeutic levels of anticoagulation as determined by their aFXa levels, while 16 were subtherapeutic. The only statistically significant difference between the two groups was in weight, with patients in the subtherapeutic group weighing an average of 91.9 kg compared to 79.1 kg in the therapeutic group (P<0.05). A fixed-dose enoxaparin regimen was utilized, with limited individualization based on patient factors, such as injuries, comorbidities, and other biological factors. Sixteen patients (25%) had subtherapeutic VTE prophylaxis, as measured by aFXa levels. Higher weight was significantly correlated with inadequate VTE prophylaxis dosing. While age, sex, and smoking status might play important roles in clinical decision-making, weight-based dosing of low-molecular-weight heparin may be more effective in achieving adequate VTE prophylaxis.

Characterization of Litchi Genotypes Based on Flowering and Fruit Characters

Twenty genotypes of litchi were selected from three district of Uttar Pradesh viz., Khushinagar, Gorakhpur and Deoria, and assessed based on traits related to fruit and flowering during 2023 and 2024 with following three replications. The flower disc colour was light yellow for all genotypes. Shahi took the longest (26 days) to flower, while GG-2 took the lowest (20.75 days). Panicle length ranged from a minimum of 38.95 cm in genotype DP-2 to a maximum of 48.20 cm in genotype KD-2. Panicles with maximum width of 30.34 cm and a minimum width of 19.98 cm were produced by the genotype KS-1 and GC-2, respectively. Eleven genotypes showed red colour, whereas nine genotypes showed the colour of crimson fruit. The genotype DP-2 (11.84) had the fewest fruits per cluster, whereas genotype DB-2 (14.03) had the most fruits per cluster. Fruit lengths varied, with GC-1 having the longest at 38.44 mm and DP-2 having the shortest at 34.26 mm. With a fruit diameter of 33.13 mm, the genotype GC-1 displayed the highest size, while DP-2 displayed the smallest (30.11 mm). Fruit weight varied with DB-2 having the highest weight (23.38 g) and DP-2 having the lowest (20.52 g). Genotype DP-2 had the lowest aril weight (13.43 g) and GP-2 had the greatest aril weight (15.28 g). Total soluble solids (TSS) varied by genotype; genotype KT-1 displayed the highest TSS (19.99 °Brix) and genotype DT-2 the lowest (18.40 °Brix). Based on a quick review of the data, China (0.51 %) had the highest titratable acidity, and KS-1 (0.34 %) had the lowest. The longest seeds (23.66 mm) were found in fruit of genotype GP-2, whilst the shortest seeds (21.17 mm) were found in genotype DP-2. Analogously, genotype DT-1 exhibited the smallest seed breadth, measuring 11.94 mm, whereas genotype DB-2 demonstrated the biggest seed breadth, measuring 13.88 mm. Genotypes GC-1 had the lowest seed weights (3.24 and 3240 g), while DB-2 and DP-1 had the highest seed and test weights (4.15 and 4150 g). The genotype DB-2 produced big fruit with more number of fruit per cluster. This genotype can be promoted for further evaluation.

High-Quality Foaming and Weight Reduction in Microcellular-Injection-Molded Polycarbonate Using Supercritical Fluid Carbon Dioxide under Gas Counter Pressure.

Microcellular injection molding (MuCell®) using supercritical fluid (SCF) as a foaming agent to achieve weight reduction has become popular in carbon emission reduction. In the typical MuCell® process, SCF N2 is commonly used. Although SCF CO2 exhibits high solubility and can achieve a high weight reduction, controlling the foaming is not easy, and its foaming cells are usually larger and less uniform, which limits its industrial application. Our previous studies have shown that gas counter pressure (GCP) can improve the foaming quality effectively. Here, we investigated whether or not the CO2 SCF foaming quality could be improved, and weight reduction was achieved for polycarbonate (PC) material. This is quite important for the electronics industry, in which most of the housing for devices is made of PC materials. MuCell® was subjected to molding experiments using the parameters of the SCF dosage, melt temperature, mold temperature, and injection speed. The results revealed that using CO2 gas for the PC material can reduce the size of microcellular cells to 40 µm and increase the cell densities to 3.97 × 106 cells/cm3. Using GCP significantly improved the microcellular injection-molded parts by reducing the cell size to 20.9 µm (a 45.41% improvement) and increasing the cell density to 8.04 × 106 cells/cm3 (a 102.48% improvement). However, implementing GCP may slightly decrease the target weight reduction. This study reveals that microcellular injection molding of PC parts using SCF CO2 can achieve high-quality foaming and reduce the weight by about 30%.

Analysis and evaluation of factors affecting the motivation of construction workers

The characteristics of the construction works are the participation of many fields and many jobs with different requirements. Therefore, in construction projects, even when applying science, technology and automation, the construction workers also play an important role. The construction workers are the main force and directly perform the tasks of creating construction products. For desiring to improve the labor productivity in the construction industry, research on the construction workers is focused increasingly. This paper learns about the factors which affect the motivation of the construction workers. Analytical Hierarchy Process (AHP) method is used to analyze and evaluate the affecting factors the work motivation of the construction workers. The ranking results of the factors show that the factors which are from the employer, have a strong impact on their work motivation. These factors are such as salary, bonus and welfare, labor management method, work discipline, regular job guarantee. They are factors with high weight and making decisive to the work motivation of the construction workers. Meanwhile, factors which are from employees, have less impact on their work motivation. This result is consistent with current reality.

Evaluation of sampling bias in growth and skin health assessment methods of New Zealand-farmed king salmon (Oncorhynchus tshawytscha)

Sampling bias was investigated in New Zealand farmed king salmon (Oncorhynchus tshawytscha) at the end of a feed trial. Two sampling techniques - a non-lethal manual assessment (MA) and a lethal hook and line (HL), were evaluated for the representativity of their samples, with regard to two performance indicators, weight and skin health. Both sampling techniques assessed (MA n = 60, HL n = 4) were biased when compared to the analysis of all the fish in each pen. However, MA samples were biased towards fish with better skin health and higher weight (+ 0.20 kg), while HL selected fish with poorer skin health than the pen population average and lower Fulton's Condition Factor (− 0.25) than MA samples. Our results emphasised the significance of understanding sampling bias so research interpretation is correct.

Physical activity and sedentary behavior among ambulatory children with cerebral palsy using accelerometer: a cross-sectional study.

Physical activity (PA) is paramount for childhood development and growth. However, children diagnosed with Cerebral Palsy (CP) were often considered sedentary, and their physical inactivity was associated with adverse health conditions and complications. Therefore, this study aimed to objectively describe and compare the PA levels and SB levels of children with and without CP of the same age group. It also studied the factors correlating with PA, SB, and step count per day in children with CP. A cross-sectional study using a wrist-worn accelerometer was conducted. PA and SB were measured over seven consecutive days. Eighty-five children aged 6-12 years, consisting of 41 children with CP and 44 TD children, participated in this study with a mean age of 9.18 ± 1.95 and 8.45 ± 1.78 years, respectively. According to the gross functional measures, 53.6% of children with CP were classified as first classification. A significant amount of time was spent in SB and Light PA (LPA) by children with CP compared to TD children, and no significant differences were observed in moderate PA (MPA) or step count. Gender mainly affected MPA as girls spent more time in MPA than boys. The age, height, and weight of children with CP correlate significantly with SB. As children's age, height, and weight increase, SB increases. Additionally, children with higher weights have lower step counts per day. This study showed that children with CP spend more time in LPA and SB than typically developed children. Therefore, concerted efforts are needed to encourage physical activity and reduce the sedentary lifestyle, to take into account the gender and anthropometric measures of children to enhance the quality of life among children with CP, and to consider gender and anthropometric measures of the children.

The Variability of Berry Parameters Could Be an Indicator of the Potential Quality of the Vineyard.

Berry quality potential from a single vineyard is mainly defined based on some physicochemical parameters and subjective assessments. In this way, berry maturity variability would be a key factor affecting berry quality. This trial aimed to study the effects of the maturity variability of berries harvested from plots of low (~37,080 kg ha-1), middle (~12,545 kg ha-1), and high (~1476 kg ha-1) quality potential on berry and wine physicochemical parameters of Cabernet Sauvignon in two consecutive seasons. The quality potential of the plots was defined by the winemakers considering mostly yield per hectare and the final price of their wines. The berry heterogeneous maturity of soluble solids and berry weight in Cabernet Sauvignon was confirmed. The coefficient of variability (CV) of berry weight of high-quality plots was high at véraison and decreased as ripening progressed, reaching CV of 19.9% at harvest. Low-quality plots showed the lowest CV of berry weight in all the studied dates, whereas high-quality plots presented the lowest CV in soluble solids content of berries, reaching a 5.1% of variability at harvest. The physicochemical parameters showed that high-quality plots were characterized by high levels of soluble solids and phenolic maturity parameters, whereas samples from low-quality plots reached high berry weight and malic acid content. Berry differences among the physicochemical parameters determined wine quality, which allowed for plots to be classified by their potential quality at harvest. Studying maturity variability of soluble solids and berry weight will allow for sampling to be sectorized within a vineyard to reduce the extremes of maturity that would affect wine quality and productive goals of winemakers.

Lactation affects postweaning metabolic profiles, but not follicle size in multiparous sows

Young sows mobilise body reserves to support milk production during lactation, resulting in a negative energy balance (NEB). This NEB affects the development of follicles and oocytes that give rise to the next litter. Decreased IGF1 levels due to a NEB are thought to play a role in this process. As this has hardly been studied in multiparous sows, the current study focused on relations between lactation BW loss (%), metabolic hormones, and follicle development in multiparous sows at Day 0 and Day 4 after weaning. A total of 31 sows of parity 4.7 ± 2.5 were killed at either Day 0 or Day 4 after weaning. Average BW loss during lactation was 3.3 ± 4.5%, while average backfat loss was 4.1 ± 0.3 mm. The metabolic profile confirmed the metabolic impact of lactation as both non-esterified fatty acid (NEFA), and creatinine levels were higher at Day 0 than that at Day 4. Conversely, serum levels of IGF1 and growth differentiation factor 15 levels were lower on Day 0 than on Day 4. A higher BW loss (%) was related to higher NEFA levels on Day 0, but not on Day 4. IGF1 concentrations in serum and follicle fluid were similar at Day 0 and Day 4 and were not related to follicle size on these days. In conclusion, although lactation affected postweaning metabolic profiles in these multiparous sows, follicle size was not related to these profiles, probably due to the relatively mild BW loss of these sows. IGF1 concentrations were less affected by lactation and did not seem to limit follicle development, as it does in sows experiencing high weight loss.

Logistic regression model for predicting risk factors and contribution of cerebral microbleeds using renal function indicators.

The brain and kidneys share similar low-resistance microvascular structures, receiving blood at consistently high flow rates and thus, are vulnerable to blood pressure fluctuations. This study investigates the causative factors of cerebral microbleeds (CMBs), aiming to quantify the contribution of each risk factor by constructing a multivariate model via stepwise regression. A total of 164 hospitalized patients were enrolled from January 2022 to March 2023 in this study, employing magnetic susceptibility-weighted imaging (SWI) to assess the presence of CMBs. The presence of CMBs in patients was determined by SWI, and history, renal function related to CMBs were analyzed. Out of 164 participants in the safety analysis, 36 (21.96%) exhibited CMBs and 128 (78.04%) did not exhibit CMBs, and the median age of the patients was 66 years (range: 49-86 years). Multivariate logistic regression identified hypertension (OR = 13.95%, 95% CI: 4.52, 50.07%), blood urea nitrogen (BUN) (OR = 1.57, 95% CI: 1.06-2.40), cystatin C (CyC) (OR = 4.90, 95% CI: 1.20-22.16), and urinary β-2 microglobulin, (OR = 2.11, 95% CI: 1.45-3.49) as significant risk factors for CMBs. The marginal R-square ( ) was 0.25. Among all determinants, hypertension (47.81%) had the highest weight, followed by UN (11.42%). Quasi-curves plotted using the bootstrap method (999 times) showed good agreement between the predictive model and actual observations. Hypertension, BUN, urinary β-2 microglobulin, CyC were risk factors for CMBs morbidity, and controlling the above indicators within a reasonable range will help to reduce the incidence of CMBs.

키워드 네트워크 분석을 활용한 인공지능 융합 영재교육 연구 동향 분석

Objectives The purpose of this study is to analyze trends in artificial intelligence convergence gifted education in elementary and middle schools that have been studied with a focus on artificial intelligence, and to derive important issues, topics, trends, and trends in related research. Methods Research trends were analyzed for 75 literatures related to artificial intelligence and artificial intelligence convergence gifted education research and education programs. Analysis data was collected through Academic Research Information Service (RISS). The collected data was refined using Excel and text, and major keywords were identified, analyzed, and visualized through frequency analysis and keyword network analysis. CONCOR cluster analysis was used to determine the centrality of keywords. Results First, since 2017, research on artificial intelligence convergence gifted education has been steadily expanding in terms of content and methods. Second, the results of frequency analysis of the main keywords in research related to artificial intelligence convergence gifted education showed ‘artificial intelligence’, ‘artificial intelligence education’, ‘gifted education’, ‘computational thinking ability’, and ‘machine learning’.Third, as a result of TF-IDF weight analysis, ‘artificial intelligence’, ‘artificial intelligence education’, ‘gifted education’, ‘computational thinking ability’, ‘science gifted’, ‘artificial intelligence education program’, and ‘information gifted’ were found. In general, it was similar to the results of the frequency analysis of major keywords, but it was confirmed that there was a difference in the rankings. Keywords with relatively high weight compared to their frequency of occurrence are ‘science gifted’, ‘creativity’, and ‘artificial intelligence education program’.Fourth, through semantic network and CONCOR analysis, it can be confirmed that artificial intelligence convergence gifted education research is being conducted focusing on ‘educational content’, ‘educational effect’, ‘teaching method’, and ‘educational target’. Conclusions This study derived the main topics and flows of research based on the results of keyword network analysis of domestic artificial intelligence convergence gifted education-related research.

Exogenous Substances Improved Salt Tolerance in Cotton

Soil salinization is a major limiting factor for cotton growth in Southern Xinjiang. Studying technologies and mechanisms to improve cotton salt tolerance is of significant importance for the development and utilization of saline–alkaline land. In this study, ‘Xinluzhong 40’ cotton was used as the material, and 150 mmol·L−1 sodium chloride (NaCl) and 1.2% natural saline–alkaline soil extract were employed to simulate single-salt (SS) and mixed-salt (MS) stresses, respectively. The effects of different exogenous substances (sodium nitrophenolate, 24-epibrassinolide, and γ-aminobutyric acid) on the growth characteristics of cotton under salt stress were investigated. The results show that: (1) Under salt stress, the height and biomass of cotton (50 d old) were reduced. Both SS and MS stresses led to increased superoxide dismutase (SOD) activity, elevated proline (PRO) content (with an increase of 50.01% and no significant difference), and increased malondialdehyde (MDA) content (with increases of 63.14% and 32.42%, respectively). At the same time, catalase (CAT) activity decreased, Na+ and Cl− contents increased, K+ content decreased, and the K+/Na+ ratio was reduced. (2) Application of sodium nitrophenolate (S), 24-epibrassinolide (E), and γ-aminobutyric acid (G) significantly improved SOD activity and PRO content while reducing MDA content (decreased by 29.33%, 25.48%, and 30.47% compared to SS treatment; and 1.68%, 5.21%, and 5.49% compared to MS treatment, respectively). They also increased CAT activity (increased by 75.97%, 103.24%, and 80.79% compared to SS treatment; and 91.06%, 82.43%, and 119.68% compared to MS treatment, respectively) and K+/Na+ ratio (increased by 57.59%, 66.35%, and 70.50% compared to SS treatment; and 38.31%, 42.97%, and 66.66% compared to MS treatment, respectively), reduced Cl− content, and promoted increases in plant height and biomass. The effects of exogenous substances on antioxidant capacity and ion balance under salt stress were significant, particularly under SS stress. (3) Principal component analysis revealed that under SS and MS stresses, principal component 1 mainly reflects cotton’s antioxidant capacity, with SOD, CAT, and PRO having high weights; principal component 2 mainly reflects cotton’s ion balance and nutrient absorption, with root Na+, stem Na+, leaf Na+, root K+, and root Cl− having high weights. These findings highlight the potential of exogenous substances to improve cotton salt tolerance and provide scientific evidence for cotton cultivation on saline–alkaline land, offering new insights into cultivation techniques from an applied research perspective.

Pengukuran Beban Kerja Mental Mahasiswa Pekerja Fakultas Ekonomi Dan Bisnis Universitas Muhammadiyah Gresik Menggunakan Metode Nasa-TLX

Background – Mental workload is the difference between the workload demands of a task and capacity. Mental workload is a human evaluation or assessment of the limits of attentional load while carrying out tasks optimally, which is influenced by the workload demands of a task and the worker's capacity to handle the task, especially for students who carry out work activities while studying. Therefore, it is necessary to examine how much mental workload is actually borne by student workers so that the negative impacts it causes can be minimized. Aim – To measure the mental workload of student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik using the NASA-TLX method Design / methodology / approach – The research approach used is Quantitative Descriptive. Quantitative data was obtained from the results of questionnaire responses from student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik regarding the level of mental workload using the NASA-TLX method. Findings – High mental workload can have a negative impact on a person's mental health, especially for students who work while studying. Mental workload is defined as the difference between task demands and an individual's capacity to handle the task, focusing more on the mental aspect than the physical. Students who work while studying often experience fatigue, lack of time to rest and socialize, and experience sleep disorders and stress which can reduce their academic and work performance. Therefore, it is important to measure and analyze the level of mental workload experienced by student workers in order to reduce its negative impact. The method used to measure mental workload is NASA-TLX (Task Load Index). Conclusion – Student workers at the Faculty of Economics and Business, Muhammadiyah University of Gresik experience a high mental workload, with the time demand indicator (Temporal Demand/TD) having the highest weight and the level of effort (Effort/EF) getting the highest score. The time requirement (TD) indicator most dominantly influences their mental workload, while the level of frustration (FR) has the lowest influence. Overall, their average mental workload score was in the high category, namely 77.64. Research implication – This research is aimed at students who are studying while working, with the aim of measuring the level of mental load that objects experience. The load in question is a high mental workload, with indicators of time requirements (Temporal Demand/TD), level of effort (Effort/EF) and indicators of time requirements (TD), as well as levels of frustration (Frustration/FR). Limitations – The limitations of this research only include the mental workload variable on the research object (student workers)

Sensitivity Analysis of Excited-State Population in Plasma Based on Relative Entropy.

A highly versatile evaluation method is proposed for transient plasmas based on statistical physics. It would be beneficial in various industrial sectors, including semiconductors and automobiles. Our research focused on low-energy plasmas in laboratory settings, and they were assessed via our proposed method, which incorporates relative entropy and fractional Brownian motion, based on a revised collisional-radiative model. By introducing an indicator to evaluate how far a system is from its steady state, both the trend of entropy and the radiative process' contribution to the lifetime of excited states were considered. The high statistical weight of some excited states may act as a bottleneck in the plasma's energy relaxation throughout the system to a steady state. By deepening our understanding of how energy flows through plasmas, we anticipate potential contributions to resolving global environmental issues and fostering technological innovation in plasma-related industrial fields.

First-Trimester Cell-Free DNA Fetal Fraction and Birth Weight in Twin Pregnancies.

The relationship between fetal fraction and birth weight in twin gestations is poorly understood. To investigate the relationship between first trimester cfDNA fetal fraction and birth weight < 10th percentile in twin gestations. This is a planned secondary analysis of the Twin cfDNA Study, a 17-center retrospective cohort of twin pregnancies screened for aneuploidy using cfDNA in the first trimester from 12/2011 - 2/2022, excluding those with positive screen results for chromosomal aneuploidy. CfDNA testing was performed by a single lab using massively parallel sequencing (MPSS). Baseline characteristics and birth weight of pregnancies with normal fetal fraction were compared to those with low (<5%) and high (>95%) fetal fraction using univariable analyses and multivariable regression. A total of 1041 twin pregnancies were included. Chronic hypertension, elevated BMI, and self-identified Black race were associated with fetal fraction <5th percentile. There was no difference in median fetal fraction between those with birth weight <10th percentile in at least one twin (median [IQR] fetal fraction 12.2% [9.8, 14.8] versus those with normal birth weight (10th percentile) in both twins (median [IQR] fetal fraction 12.3% [9.7, 15.2] for normal birth weight, p = 0.49). There was no association between high or low fetal fraction and birth weight <10th percentile for one (p=0.45) or both (p=0.81) twins, and there was no association between high or low fetal fraction and birth weight <5th percentile for one (p=0.44) or both (p=0.74) twins. The results were unchanged after adjustment for potential confounders. In this large cohort, there was no association between the extremes of cfDNA fetal fraction and birthweight < 10th percentile, suggesting that first trimester fetal fraction may not predict impaired fetal growth in twin gestations.

Birth Weight, Gestational Age, and Risk of Pediatric-Onset MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease worldwide and is increasingly being diagnosed at younger ages, affecting more than one-third of young people with obesity. To evaluate associations between perinatal conditions and risk of MASLD and associated progressive liver disease. This nationwide, population-based case-control study included all biopsy-confirmed cases of MASLD in Sweden. Individuals aged 25 years or younger (hereafter, young individuals) with biopsy-proven MASLD between January 1, 1992, and December 31, 2016, were matched to up to 5 general population control individuals. Granular data on maternal and perinatal characteristics were retrieved from the Swedish Medical Birth Register. Data were analyzed from June 2023 to June 2024. Birth weight (low [<2500 g], reference [2500 to <4000 g], or high [≥4000 g]), gestational age (GA), and birth weight for GA (small for GA [SGA; <10th percentile], appropriate for GA [10th-90th percentile], or large for GA [LGA; >90th percentile]), compared between patients and matched controls. The main outcome was odds of biopsy-proven MASLD and MASLD-associated progressive liver disease (ie, liver fibrosis or cirrhosis) according to birth weight, GA, and birth weight for GA, adjusted for matching factors. In total, 165 young individuals with biopsy-proven MASLD (median age at diagnosis: 12.0 years [IQR, 4.4-16.9 years]; 100 [60.6%] male) were matched with 717 controls. There was an association between low birth weight and future development of MASLD (adjusted odds ratio [AOR], 4.05; 95% CI, 1.85-8.88) but no association between high birth weight and odds of MASLD (AOR, 0.64; 95% CI, 0.38-1.08) compared with the reference birth weight. An association was seen for SGA (AOR, 3.36; 95% CI, 2.00-5.64) compared with appropriate size for GA (reference category) but not for LGA (AOR, 0.57; 95% CI, 0.27-1.20). Progressive liver disease was more common in individuals born with low birth weight (AOR, 6.03; 95% CI, 1.66-21.87) or SGA (AOR, 4.90; 95% CI, 2.15-11.14). In this nationwide study of young individuals with biopsy-proven MASLD, low birth weight and SGA were associated with development of MASLD and progressive liver disease, suggesting a need for structured screening measures to diagnose these conditions early in high-risk individuals.

Immunization status and factors influencing hepatitis B vaccination of preterm infants in three provinces of China, 2019 to 2021

BackgroundPremature infants have less physiologic reserve and often delayed vaccination compared to full-term infants. The birth dose of hepatitis B vaccine (HepB-BD) is an essential measure to achieve the goal of "zero infections" of hepatitis B virus in all newborns. However, there are few investigations of hepatitis B vaccination of preterm infants, leading to uncertainty of coverage and insufficient knowledge of factors influencing timely vaccination of this important population.MethodsWe obtained hepatitis B vaccine (HepB) vaccination histories of premature infants born during 2019–2021 in three provinces from the respective provincial immunization information systems. Extracted data included date of birth, sex, region, and dates of HepB administration. We conducted descriptive analyses that included basic characteristics of the study subjects, HepB-BD administration, and full-series HepB vaccination. Factors potentially influencing HepB-BD and full series vaccination were analyzed by logistic regression.ResultsThere were 1623 premature infants included in the analytic data set. Overall HepB-BD coverage was 71.41%; coverage among premature infants born to mothers with unknown hepatitis B surface antigen (HBsAg) status was 69.57%; coverage was higher at county-level-and-above hospitals (72.02%) than hospitals below county level (61.11%). Full-series HepB coverage was 94.15%; full-series coverage among preterm infants weighing less than 2000 g at birth was 76.92%. Logistic regression showed that the HepB-BD vaccination rate was positively associated with being born to an HBsAg-positive mother and being preterm with high birth weight. Regression analysis for factors influencing full-series HepB coverage showed that being born prematurely was positively associated with full-series coverage and being premature with a very low birth weight was negatively associated with full-series coverage.ConclusionsHepB-BD coverage levels in three provinces of China were less than the target of 90%, especially among premature infants born to mothers with unknown HBsAg status and at hospitals below the county level. Screening of pregnant women should be a universal normal standard. Hepatitis B vaccination training should be strengthened in hospitals to improve the HepB-BD vaccination rate of premature infants and to effectively prevent mother-to-child transmission of hepatitis B virus.

Comparison of Molecular Potential for Iron Transfer across the Placenta in Domestic Pigs with Varied Litter Sizes and Wild Boars.

Neonatal iron deficiency anemia is prevalent among domestic pigs but does not occur in the offspring of wild boar. The main causes of this disorder in piglets of modern pig breeds are paucity of hepatic iron stores, high birth weight, and rapid growth. Replenishment of fetal iron stores is a direct result of iron transfer efficiency across the placenta. In this study, we attempted to investigate the molecular potential of iron transfer across the placenta as a possible cause of differences between wild boar and Polish Large White (PLW) offspring. Furthermore, by analyzing placentas from PLW gilts that had litters of different sizes, we aimed to elucidate the impact of the number of fetuses on placental ability to transport iron. Using RNA sequencing, we examined the expression of iron-related genes in the placentas from wild boar and PLW gilts. We did not reveal significant differences in the expression of major iron transporters among all analyzed placentas. However, in wild boar placentas, we found higher expression of copper-dependent ferroxidases such as ceruloplasmin, zyklopen, and hephaestin, which facilitate iron export to the fetal circulation. We also determined a close co-localization of ceruloplasmin and zyklopen with ferroportin, the only iron exporter.

Threshold-driven K-means sector clustering algorithm for wireless sensor networks

The clustering algorithm is an effective method for developing energy efficiency routing protocol for wireless sensor networks (WSNs). In clustered WSNs, cluster heads must handle high traffic, thus consuming more energy. Therefore, forming balanced clusters and selecting optimal cluster heads are significant challenges. The paper proposes a sector clustering algorithm based on K-means called KMSC. KMSC improves efficiency and balances the cluster size by employing symmetric dividing sectors in conjunction with K-means. For the selection of cluster heads (CHs), KMSC uses the residual energy and distance to calculate the weight of the node, then selects the node with the highest weight as CH. A hybrid single-hop and multi-hop communication is utilized to reduce long-distance transmissions. Furthermore, the impact of the number of sectors, the threshold for clustering, and the network size on the performance of KMSC has been explored. The simulation results show that KMSC outperforms EECPK-means, K-means, TSC, LSC, and SEECP in terms of FND, HND, and LND.