To develop a predictive model to assess the risk of peri-operative hypothermia occurrence in children undergoing thoracoscopic lobectomy and validate its effectiveness. 172 children who underwent thoracoscopic lobectomy were randomly divided into a training set of 124 cases and a validation set of 48 cases in a 7:3 ratio. The study found a 33.1% incidence of intraoperative hypothermia (IPH) in children undergoing thoracoscopic lobectomy. Logistic regression analysis was performed using SPSS 26.0 to screen influencing factors, establish a risk prediction model, and draw the receiver-operating characteristic curve. Univariate analysis identified anesthesia-skin incision time, operating-room temperature, humidity, basal body temperature, end body temperature, and body temperature half an hour after anesthesia as influencing factors. Multivariate logistic regression revealed anesthesia-skin incision time (odds ratio (OR) = 1.595), operating-room humidity (OR = 4.094), and body temperature half an hour after anesthesia (OR = 112.595) as independent predictors. The nomogram model demonstrated an excellent discrimination with area under the curve (AUC) of 0.989 (95% confidence interval (CI): 0.976-1.000), maximum Youden index of 0.94, sensitivity of 1, specificity of 0.94, and cutoff value of 0.195. The Hosmer-Lemeshow test (χ2 = 1.751, P = 0.195) and bootstrap resampling (consistency coefficient = 0.947) confirmed the model's goodness of fit, internal consistency, and stability. Validation set results are similar to those in the training set, with an AUC of 0.989 (95% CI: 0.969-1.000), a sensitivity of 1, a specificity of 0.929, and a calibration curve error of 0.032 (<0.05), indicating high predictive accuracy. These findings suggest nomogram is a robust tool for predicting IPH in the pediatric thoracoscopic lobectomy.

We established a mixed-effects model incorporating climatic factors for the base diameter and length of the primary branches of Larix kaempferi using stepwise regression, based on climatic data from a total of 40 standard plots located in Xiaolongshan, Gansu Province, Changlinggang Forest Farm in Jianshi County, Hubei Province, and Dagujia Forest Farm in Qingyuan County, Liaoning Province, as well as the data from 120 L. kaempferi sample trees. Additionally, we created prediction charts for the fixed effects portion of the optimal mixed model to determine the relationship between climatic factors and base diameter and branch length, to explore the differential response of L. kaempferi branches to climatic variables. The results showed that the base diameter mixing model with annual mean temperature and water vapor deficit and the branch length mixing model with annual mean temperature had the best fitting effect, with R2 of 0.6152 and 0.6823, respectively. Based on the fixed effects prediction chart of the mixed model, the overall basal diameter showed an increasing trend with the increases of relative branch depth. The average basal diameter size was in an order of young-aged plantation<middle-aged plantation<near mature plantation<mature plantation. The lower the annual mean temperature, the larger the base diameter and length. The larger the water vapor deficit value, the smaller the base diameter of the branches. Branch length was more sensitive to temperature compared with base diameter. In different developmental stages, the base diameter and branch length of mature plantation were the most sensitive to temperature, while the young plantation was the weakest. Among the rank trees, the base diameter and branch length of the dominant trees were the most sensitive to temperature, while the inferior trees were the weakest. Mixed effect model was more practical in tree modeling. Temperature and precipitation could affect the growth of L. kaempferi. L. kaempferi would grow well in the environment with low temperature and high humidity.

(1) Background: FABMs (fertility awareness-based methods) are methods that rely on the observation of clinical signs related to fertility found in women, the so-called fertility bioindicators. They can be a valuable tool for diagnosing monthly cycle disorders and infertility, for example, among patients with PCOS (polycystic ovary syndrome). Until now, it has been difficult for women with PCOS to use FABM, due to the difficulty of describing fertility bioindicators and their disorders due to the biology of the syndrome. The new InVivo sympto-thermal method with standardized cervical mucus assessment may provide a valuable diagnostic and therapeutic tool for observing the monthly cycle in this group of women. (2) Methods: The monthly cycle was evaluated in a group of 32 women of reproductive age. A total of 108 monthly cycle observation cards were analyzed: 35 monthly cycle cards were collected from 18 women with PCOS, and 73 monthly cycle cards collected from 14 healthy women. In addition, 32 pairs of macroscopic and microscopic images were evaluated: 17 pairs from the study group (four subjects) and 15 pairs from women in the control group (six subjects). (3) Results: We showed that in the group of patients with PCOS, menstruation was longer (p = 0.000814), the number of mucus peaks was statistically higher (p = 0.040747), and the interquartile range (IQR) of the duration of the follicular phase (calculated according to the BBT) was significantly higher (8 days) compared to women in the control group. We also observed that among all the women studied, the microscopic image of cervical mucus correlated with the cycle phase described in the observation card, as determined by reference to the BBT chart, provided that it showed the correct features. (4) Conclusions: Systematic maintenance of monthly cycle observation charts using the InVivo method can be an important supplement to the medical history, as it allows for a thorough assessment of, among others, the timing of monthly bleeding, cervical mucus symptoms, BBT changes, and the duration of the follicular and luteal phases among both healthy and PCOS women.

Basal body temperature (BBT) is defined as the lowest natural, non-pathologic body temperature recorded after a period of rest. Women have used charting average basal body temperatures over the length of a menstrual period has been a tool to determine if ovulation has occurred or not. Basal body temperature measurements have been used for decades to help women optimize the timing of intercourse during a fertile window. This unique methodology was also prevalent before the invent of oral contraception pills, as it aided women in an attempt to avoid fertilization during a fertile period. Still to this day, women use this seemingly simple tool for planning purposes.

Little is known about the growth patterns of low birth weight neonates (<2500 g) during standardized thermal control and nutrition regulation to meet basal metabolism requirements compared to those of non-low birth weight neonates (2500 g and above). We retrospectively identified 10,544 non-low birth weight and 681 low birth weight neonates placed in thermo-controlled incubators for up to 24 h after birth. All neonates were fed a 5% glucose solution 1 h after birth and breastfed every 3 h (with supplementary formula milk if applicable) to meet basal metabolism requirements. Maximum body-weight loss (%), percentage body-weight loss from birth to peak weight loss (%/day), and percentage body-weight gain from peak weight loss to day 4 (%/day) were assessed by multivariable linear regression. Overall, the growth curves showed a uniform J-shape across all birth weight categories, with a low mean maximum body-weight loss (1.9%) and incidence of neonatal jaundice (0.3%). The body-weight loss patterns did not differ between the two groups. However, low birth weight neonates showed significantly faster growth patterns for percentage body-weight gain: β = 0.52 (95% confidence interval, 0.46 to 0.58). Under thermal control and nutrition regulation, low birth weight neonates might not have disadvantages in clinical outcomes or growth patterns.

Various fertility indicators are used by natural family planning methods to identify the fertile and infertile phases of a woman's menstrual cycle: mucus observations, cycle-day probabilities, basal body temperature readings, and hormonal measures of LH and estrogen. Simplified NFP methods generally make use of a single fertility indicator such as cycle-day probabilities (Standard Days Method) or mucus observations (Billings Ovulation Method). The Couple Bead Method integrates the two simplest fertility indicators, cycle-day probabilities and mucus observations, expanding its applicability to all women, regardless of cycle regularity and length. In determining cycle-day probabilities, the Couple Bead Method relies on a new data set from ultrasound-derived determinants of gestational age that more directly define the day of conception and the fertile window. By using a visual-based system of inexpensive colored beads, the Couple Bead Method can be used by couples of all educational and income levels. Lay Summary: Natural family planning methods provide education in regard to the signs of a woman's body which indicate if she is possibly fertile or not. Two important signs are the day of her menstrual cycle and her observations of bleeding and cervical mucus or dryness. The Couple Bead Method teaches a couple how to observe these signs and chart them with a system of colored beads. The Couple Bead Method can be used by women with regular or irregular cycles. The bead sets are inexpensive and consist of a length of plastic cord, colored "pony beads" and safety pins.