BACKGROUND: Effective mobilization of Stem Cells(SCs) to peripheral blood (PB) is crucial for obtaining sufficient CD34+ cell numbers via apheresis. The ratio of pre-apheresis PB CD34+ cells is the best parameter for predicting the product CD34+ cell count. However, quantitating CD34+ PB cells requires flow cytometry, which usually takes two or more hours to obtain the results. We hypothesized that the product CD34+ cell count could be predicted using the counts of white blood cells (WBCs), mononuclear cells (MNCs), and pre-apheresis CD34+ cells. A formula that achieves this would substantially affect the efficiency and effectiveness of apheresis. We, therefore, aimed to estimate the number of CD34+ cells in the product using a formula that incorporates pre-apheresis PB WBC, MNC, and CD34+ cell counts and product WBC and MNC counts.
METHODS: We examined the results of 373 leukapheresis procedures for SC mobilization. Effective separation of CD34+ PBSCs (count/μL) via apheresis was estimated using the following formula: [Product WBC (count/μL) × MNC (count/μL) × pre-apheresis CD34+ cell (percentage/μL)] ÷ [PB WBC count/μL × PB MNC (count/μL)].
RESULTS: A strong correlation was observed between the CD34+ cell count calculated using our formula and the post-apheresis CD34+ cell count measured via flow cytometry (R = 0.939, based on linear regression analysis). In the subgroup analysis, this correlation was observed for all the disease subgroups and healthy donors.
CONCLUSIONS: We developed a formula that predicts the product CD34+ cell count and is useful for determining whether a second apheresis procedure will be required.

Dissolved organic matter (DOM) is essential in biological treatment, yet its specific roles remain incompletely understood. This study introduces a machine learning (ML) framework to interpret DOM biodegradability in the anaerobic digestion (AD) of sludge, incorporating a thermodynamic indicator (λ). Ensemble models such as Xgboost and LightGBM achieved high accuracy (training: 0.90-0.98; testing: 0.75-0.85). The explainability of the ML models revealed that the features λ, measured m/z, nitrogen to carbon ratio (N/C), hydrogen to carbon ratio (H/C), and nominal oxidation state of carbon (NOSC) were significant formula features determining biodegradability. Shapley values further indicated that the biodegradable DOM were mostly formulas with λ lower than 0.03, measured m/z value higher than 600 Da, and N/C ratios higher than 0.2. This study suggests that a strategy based on ML and its explainability, considering formula features, particularly thermodynamic indicators, provides a novel approach for understanding and estimating the biodegradation of DOM.

Objective: The aim of this study was to examine effects of the 2022 infant formula shortage as experienced by neonatal intensive care units (NICUs) in the United States, a previously unreported perspective. Methods: A mixed-method approach was utilized. Data were collected using an online survey of NICU medical directors. Quantitative data were analyzed with descriptive statistics and Student\'s t test. Thematic analysis was utilized to make sense of patterns within the qualitative data. Results: Responses from 139 medical directors were received. Both academic (41.7%) and community (58.3%) NICUs were represented among respondents. Thirty-nine percent of NICU medical directors reported an impact on their unit by the infant formula shortage. Within the qualitative data four themes were revealed as follows: alterations to discharge planning, policy modifications, suboptimal solutions, and extraordinary measures. These themes may inform strategies for mitigation of future infant formula shortages. Conclusions: NICUs were significantly impacted by the infant formula shortage with likely lasting effects. From the reported experiences, clear recommendations have been formed to minimize effects of future infant formula shortages.

UNASSIGNED: Formula feeding is the only viable nutrition alternative for infants 0-6mos who cannot breastfeed. Among the drawbacks of formula feeding, however, is potential dilution or concentration errors in the formula during preparation that may lead to infant health issues. The present study aimed to investigate the accuracy of caregiver measurements as they prepared infant formula under multiple conditions, compared with manufacturer specifications.
UNASSIGNED: A diverse sample of caregivers (N = 84) participated in this cross-over experimental study. Participants hand-scooped infant formula powder and poured water to prepare 4oz. and 7oz. feedings, using both a standardized set of infant formula products and participants\' own products. Linear mixed effects models were used to estimate fixed effects of target amount (4oz. versus 7oz) and products (participant versus researcher) on mean absolute percent error (MAPE) of measurement.
UNASSIGNED: Across all conditions MAPE was significantly greater for measuring powder than for water (9.0% vs. 4.4%; p < 0.001) with a combined powder and water MAPE at 13.0%. Greater measurement error was associated with the odd-sized 7oz. preparation and participants\' own products.
UNASSIGNED: We observed considerable variability and substantial error during infant formula preparation, particularly for hand-scooping of powder, which tended toward higher values than the theoretical gold standard.

BACKGROUND: Monitoring free valproate concentrations, as with other highly protein-bound anticonvulsants, is essential in clinical situations where protein binding may be disrupted. Conversion of measured total concentrations to approximate free concentrations offers a cost-effective alternative. This study evaluated the relationship between total and free valproate concentrations for discordance and the impact of key determinants. A novel formula was devised that incorporates significant variables.
METHODS: A multicentre, cross-sectional observational analytical study included 101 subjects 18 years and older using valproate for 6 months or longer. Participants were recruited from private and public sector healthcare settings from primary to tertiary level in, South Africa, during 2017-2019.
RESULTS: Free valproate concentrations could be measured for 84 subjects. Discordance for concomitant total and free valproate concentrations was 79.1%. Among 19 participants with elevated free concentrations, 15 (78.9%) had total valproate concentrations within the recommended reference range. Calculations based on the study-derived formula were more accurate in predicting free valproate concentration than previously proposed methods.
CONCLUSIONS: This study proposes that the novel formula for calculating free valproate enables more accurate prediction.

UNASSIGNED: This study aims to develop formulas for estimating tracheal diameter and length in dogs using easily measurable anatomical parameters.
UNASSIGNED: The samples consisted of 20 dogs of various breeds, comprising 10 males and 10 females, sourced from cadavers. The measured parameters included occipital tuberosity to tail base (OT), eye angle to ear tragus, nose to ear tragus, inner vertical diameters (IVD), and tracheal length (TL). The study conducted correlation and linear regression analyses, and subsequently, the formulated models underwent validation using 16 live dogs. The results were compared to radiographic measurements.
UNASSIGNED: Linear regression recommended formulas based on OT, resulting in IVD (mm) = 0.203 × OT - 3.724 (r2 = 0.608, p < 0.001) and TL (cm) = 0.346 × OT-3.773 (r2 = 0.837, p < 0.001). The predicted tracheal diameter and length from formulas were slightly smaller than radiographic measurements (IVD = 2.76 ± 1.85 mm, p < 0.0001 and TL = 2.07 ± 1.81 cm, p < 0.0001).
UNASSIGNED: These formulas offer a practical way to estimate tracheal dimensions in live dogs, facilitating the selection of suitable endotracheal tube sizes and insertion depth. Further studies with larger sample sizes and consistent measurement methods can enhance the accuracy of these findings.

Weaning is a critical phase in an infant\'s life, during which there is a transition from exclusive breastfeeding or formula feeding to consuming solid foods. Weaning is a critical step in determining a child\'s nutritional status, growth, and general health. India is a multiethnic and culturally diverse nation and has a variety of weaning practices that are affected by local customs, religious beliefs, and socioeconomic concerns. Malnutrition brought on by inadequate weaning methods used in infancy and early childhood may have an impact on cognitive, motor and social, development and productivity of the child, more importantly manifesting in later ages. Weaning customs in India have a long history of being ingrained in both family and cultural traditions. The variety of Indian cuisine is reflected in the meals that are offered to the infant during weaning. Homemade food commonly prepared like mashed fruits and vegetables, lentil soups, and rice porridge are the most popular. However, the inclination by parents toward professionally produced infant foods and formulas has increased because of urbanization and globalization; there have been observable changes in weaning practices over the past few decades because of changing lifestyles and easier access. These foods are frequently thought of as more convenient but may not be as nutrient-dense as homemade alternatives. Not following the medically recommended mandate of an exclusive diet of mother\'s breast milk to the infant, many parents often begin introducing complementary foods as early as four months. Still most concerningly also the timing of weaning commencement varies significantly across areas and communities. Overall, this review offers valuable insights into the current trends and practices of weaning in infants across India, underscoring the importance of culturally sensitive and informed strategies to ensure the well-being of the nation\'s youngest population.

Preterm infants, often characterized by lower birth weights and underdeveloped physiologies, necessitate specialized nutritional care. While breast milk stands as the ideal nutritional source, offering substantial energy through its fatty acid content to support the infants\' growth and developmental needs, its usage might not always be feasible. Fatty acids in breast milk are critical for the development of these infants. In scenarios where breast milk is not an option, formula feeding becomes a necessary alternative. Thus, a comprehensive understanding of the fatty acid profiles in both breast milk and formulas is crucial for addressing the distinct nutritional requirements of preterm infants. This paper aims to summarize the effects of lipid composition, structure, and positioning in breast milk and formula on the growth and development of preterm infants. Furthermore, it explores recent advancements in the use of novel structural lipids in formulas, laying the groundwork for future innovations in formula design specifically catered to the needs of preterm infants.

OBJECTIVE: To recalculate the estimated fetal weight (EFW) based on ultrasound measurements in patients complicated with isolated polyhydramnios, using 14 current formulas to observe which formula better predicts the EFW.
METHODS: This study examined pregnant women who gave birth in the hospital between January 2015 and January 2020. Maximum vertical pocket (MVP) was classified as, mild, moderate, and severe polyhydramnios, and the patients\' measurements were reanalyzed using 14 formulas. The estimation of birth weight (EBW) alongside observed birth weight (OBW) facilitated the computation of statistical indices, namely the mean absolute percentage error (MAPE) expressed as [(EBW - OBW)/OBW × 100], the mean percentage error (MPE) denoted as (EBW - OBW)/(OBW × 100), and their corresponding 95% confidence intervals.
RESULTS: A total of 564 polyhydramnios patients were included in the study. When looking at the MAPE, the lowest rate (7.65) was found in the Hadlock 2 formula. Hadlock 1, Hadlock 3, and Shinozuka formulas demonstrated MAPE values most closely aligned with Hadlock 2. Weiner I and Thurnau were the formulas with the highest MAPE values. When the cut-off values for MAPE were taken as 10%, 4/14 of the formulas (Weiner I-II, Vintzleos and Thurnau) gave results above 10%. Among 14 formulas, 3 (21.4%) had positive (sonographic overestimation) (Hadlock 3, Shinozuka, and Vintzleos) and the other 11 (78.6%) had negative MPE (sonographic underestimation).
CONCLUSIONS: The Hadlock 2 formula had the lowest MAPE in predicting birth weight in patients with polyhydramnios, closely followed by the Hadlock 1, Hadlock 3, and Shinozuka formulas.

OBJECTIVE: To compare the accuracy of 14 formulas in calculating intraocular lens (IOL) power in extremely long eyes with axial length (AL) over 30.0 mm.
METHODS: In this retrospective study, 211 eyes (211 patients) with ALs > 30.0 mm were successfully treated with cataract surgery without complications. Ocular biometric parameters were obtained from IOLMaster 700. Fourteen formulas were evaluated using the optimized A constants: Barrett Universal II (BUII), Kane, Emmetropia Verifying Optical (EVO) 2.0, PEARL-DGS, T2, SRK/T, Holladay 1, Holladay 2, Haigis and Wang-Koch AL adjusted formulas (SRK/Tmodified-W/K, Holladay 1modified-W/K, Holladay 1NP-modified-W/K, Holladay 2modified-W/K, Holladay 2NP-modified-W/K). The mean prediction error (PE) and standard deviation (SD), mean absolute errors (MAE), median absolute errors (MedAE), and the percentage of prediction errors (PEs) within ± 0.25 D, ± 0.50 D, ± 1.00 D were analyzed.
RESULTS: The Kane formula had the smallest MAE (0.43 D) and MedAE (0.34 D). The highest percentage of PE within ± 0.25 D was for EVO 2.0 (37.91%) and the Holladay 1NP-modified-W/K formulas (37.91%). The Kane formula had the highest percentage of PEs in the range of ± 0.50, ± 0.75, ± 1.00, and ± 2.00 D. There was no significant difference in PEs within ± 0.25, ± 0.50 ± 0.75 and ± 1.00 D between BUII, Kane, EVO 2.0 and Wang-Koch AL adjusted formulas (P > .05) by using Cochran\'s Q test. The Holladay 2modified-W/K formula has the lowest percentage of hyperopic outcomes (29.38%).
CONCLUSIONS: The BUII, Kane, EVO 2.0 and Wang-Koch AL adjusted formulas have comparable accuracy for IOL power calculation in eyes with ALs > 30.0 mm.