bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between dietary live microbe intake and Life's Essential 8 in US adults: a cross-sectional study of NHANES 2005–2018
Authors: Wang Lin , Wang Sutong , Wang Yongcheng , Zong Shuli , Li Zhaoyu , Jiang Yuehua , Li Xiao 
Published: February 2024

BackgroundAssessing the impact of dietary live microbe intake on health outcomes has gained increasing interest. This study aimed to elucidate the relationship between dietary live microbe intake and Life's Essential 8 (LE8) scores, a metric for cardiovascular health (CVH), in the U.S. adult population.MethodsWe analyzed data from 10,531 adult participants of the National Health and Nutrition Examination Survey (NHANES) spanning 2005–2018. Participants were stratified into low, medium, and high intake groups of dietary live microbe based on Marco's classification system. We employed weighted logistic and linear regression analyses, along with subgroup, interaction effect, and sensitivity analyses. Additionally, Restricted Cubic Splines (RCS) were used to explore the dose-response relationship between food intake and CVH in different groups.ResultsCompared to the low live microbe intake group, the medium and high live microbe intake groups had significantly higher LE8, with β coefficients of 2.75 (95% CI: 3.89–5.65) and 3.89 (95% CI: 6.05–8.11) respectively. Additionally, moderate and high groups significantly reduced the risk of high cardiovascular health risk, defined as an LE8 score below 50, with odds ratios (OR) of 0.73 and 0.65 respectively. Subgroup analysis and sensitivity analysis proved the stability of the results. In the low intake group, food intake shows a linear negative correlation with LE8, whereas in the high intake group, it exhibits a linear positive correlation. In contrast, in the moderate live microbe intake group, the relationship between food intake and LE8 presents a distinct inverted “U” shape.ConclusionThis study highlights the potential benefits of medium to high dietary intake of live microbe in improving LE8 scores and CVH in adults. These findings advocate for the inclusion of live microbes in dietary recommendations, suggesting their key role in CVH enhancement.
Association between soybean product consumption and executive function in Chinese Tibetan children and adolescents
Authors: Yin Xiaojian , Zhang Feng , Bi Cunjian , Liu Yuan , Guo Yaru , Sun Pengwei , Hong Jun 
Published: February 2024

ObjectiveThis sought to explore the association between soybean product consumption and executive function (EF) in Chinese Tibetan adolescents in high-altitude areas.MethodsA total of 1,184 Tibetan children and adolescents were tested on demographic variables, soybean product consumption, and executive function in Lhasa and Nagchu regions of Tibet, China, using stratified whole population sampling. One-way ANOVA, linear regression analysis, and logistic regression analysis were used to analyze the associations existing between soybean product consumption and executive function.ResultsThe proportions of Hardly ever, Occasionally, and Often in Soy Consumption among Tibetan children and adolescents in high altitude areas of Tibet, China were 21.7, 50.3, and 28.0%, respectively. The difference in 2 back reaction time among Tibetan children and adolescents with different soybean product consumption was statistically significant (F = 6.374, p = 0.002). The difference in conversion function reaction time was also statistically significant (F = 8.129, p &lt; 0.001). Taking the soybean product consumption ≥6 t/w group as the reference group, after adjusting the relevant factors, those with soybean product consumption ≤1 t/w showed a statistically significant increase in Inhibit Function Dysfunction (OR = 1.844, 95% CI: 1.152, 2.951) and Conversion Function Dysfunction (OR = 2.008, 95% CI: 1.106, 3.646) had an increased risk of Conversion Function Dysfunction (OR = 2.008, 95% CI: 1.106, 3.646), which was significantly different (p &lt; 0.05).ConclusionThere is an association between soybean product consumption and inhibitory control and translational flexibility of brain executive functions in Chinese Tibetan children and children and adolescents at high altitude.
Transumbilical single-site laparoscopic treatment of small intestinal cavernous hemangioma in child: a case report
Authors: Kong Meng , Liu Weiqiang , Bai Yuexia , Jia Jinhua , Liu Chuanyang , Zhang Shisong 
Published: February 2024

BackgroundWhile hemangiomas are the most commonly occurring benign vascular tumors, their occurrence in the gastrointestinal system is rare. This case report presents a unique instance of small intestinal hemangioma in a pediatric patient.Case descriptionA 21-month-old girl was admitted to the hospital with a history of “recurrent blood in the stool for one year and anemia for five months.” Upon evaluation at our facility, abdominal color ultrasound and enhanced CT scans revealed a protruding mass in the wall of the small intestine, leading to a preliminary diagnosis of small intestinal hemangioma. Subsequent single-site umbilical laparoscopic exploration identified a tumor measuring approximately 6cm×2.5cm×1.2cm on the jejunum wall. Consequently, segmental resection of the intestine was performed, and the postoperative pathological diagnosis confirmed cavernous hemangioma.ConclusionSmall intestinal hemangiomas, particularly in pediatric patients, are exceptionally rare and challenging to diagnose as the cause of gastrointestinal bleeding prior to surgery. Hence, small intestinal hemangiomas should be considered in such cases. Laparoscopic surgical resection emerges as the optimal approach for addressing small intestinal hemangiomas.
Association between psychosis and substance use in Kenya. Findings from the NeuroGAP-Psychosis study
Authors: Nguata Monica , Orwa James , Kigen Gabriel , Kamaru Edith , Emonyi Wilfred , Kariuki Symon , Newton Charles , Ongeri Linnet , Mwende Rehema , Gichuru Stella , Atwoli Lukoye 
Published: February 2024

BackgroundSubstance use is prevalent among people with mental health issues, and patients with psychosis are more likely to use and misuse substances than the general population. Despite extensive research on substance abuse among the general public in Kenya, there is a scarcity of data comparing substance use among people with and without psychosis. This study investigates the association between psychosis and various substances in Kenya.MethodsThis study utilized data from the Neuro-GAP Psychosis Case-Control Study between April 2018 and December 2022. The KEMRI-Wellcome Trust Research Programme recruited participants from various sites in Kenya, including Kilifi County, Malindi Sub-County, Port Reitz and Coast General Provincial Hospitals, and Moi Teaching and Referral Hospital, as well as affiliated sites in Webuye, Kapenguria, Kitale, Kapsabet, and Iten Kakamega. The collected data included sociodemographic information, substance use, and clinical diagnosis. We used the summary measures of frequency (percentages) and median (interquartile range) to describe the categorical and continuous data, respectively. We examined the association between categorical variables related to psychosis using the chi-square test. Logistic regression models were used to assess the factors associated with the odds of substance use, considering all relevant sociodemographic variables.ResultsWe assessed a total of 4,415 cases and 3,940 controls. Except for alcohol consumption (p-value=0.41), all forms of substance use showed statistically significant differences between the case and control groups. Cases had 16% higher odds of using any substance than controls (aOR: 1.16, 95%CI: 1.05-1.28, p=0.005). Moreover, males were 3.95 times more likely to use any substance than females (aOR:3.95; 95%CI: 3.43-4.56). All the categories of living arrangements were protective against substance use.ConclusionThe findings of this study suggest that psychotic illnesses are associated with an increased likelihood of using various substances. These findings are consistent with those of previous studies; however, it is crucial to investigate further the potential for reverse causality between psychosis and substance abuse using genetically informed methods.
Estimating sectoral COVID-19 economic losses in the Philippines using nighttime light and electricity consumption data
Authors: Del Castillo Ma. Flordeliza P. , Fujimi Toshio , Tatano Hirokazu 
Published: February 2024

IntroductionEconomic loss estimation is critical for policymakers to craft policies that balance economic and health concerns during pandemic emergencies. However, this task is time-consuming and resource-intensive, posing challenges during emergencies.MethodTo address this, we proposed using electricity consumption (EC) and nighttime lights (NTL) datasets to estimate the total, commercial, and industrial economic losses from COVID-19 lockdowns in the Philippines. Regression models were employed to establish the relationship of GDP with EC and NTL. Then, models using basic statistics and weather data were developed to estimate the counterfactual EC and NTL, from which counterfactual GDP was derived. The difference between the actual and the counterfactual GDP from 2020 to 2021 yielded economic loss.ResultsThis paper highlights three findings. First, the regression model results established that models based on EC (adj-R2 ≥ 0.978) were better at explaining GDP than models using NTL (adj-R2 ≥ 0.663); however, combining both EC and NTL improved the prediction (adj-R2 ≥ 0.979). Second, counterfactual EC and NTL could be estimated using models based on statistics and weather data explaining more than 81% of the pre-pandemic values. Last, the estimated total loss amounted to 2.9 trillion PhP in 2020 and 3.2 trillion PhP in 2021. More than two-thirds of the losses were in the commercial sector as it responded to both policies and the COVID-19 case surge. In contrast, the industrial sector was affected primarily by the lockdown implementation.DiscussionThis method allowed monitoring of economic losses resulting from long-term and large-scale hazards such as the COVID-19 pandemic. These findings can serve as empirical evidence for advocating targeted strategies that balance public health and the economy during pandemic scenarios.
Pixelwise Gradient Model with GAN for Virtual Contrast Enhancement in MRI Imaging
Authors: Cheng Ka-Hei , Li Wen , Lee Francis Kar-Ho , Li Tian , Cai Jing 
Published: February 2024

Background: The development of advanced computational models for medical imaging is crucial for improving diagnostic accuracy in healthcare. This paper introduces a novel approach for virtual contrast enhancement (VCE) in magnetic resonance imaging (MRI), particularly focusing on nasopharyngeal cancer (NPC). Methods: The proposed model, Pixelwise Gradient Model with GAN for Virtual Contrast Enhancement (PGMGVCE), makes use of pixelwise gradient methods with Generative Adversarial Networks (GANs) to enhance T1-weighted (T1-w) and T2-weighted (T2-w) MRI images. This approach combines the benefits of both modalities to simulate the effects of gadolinium-based contrast agents, thereby reducing associated risks. Various modifications of PGMGVCE, including changing hyperparameters, using normalization methods (z-score, Sigmoid and Tanh) and training the model with T1-w or T2-w images only, were tested to optimize the model’s performance. Results: PGMGVCE demonstrated a similar accuracy to the existing model in terms of mean absolute error (MAE) (8.56 ± 0.45 for Li’s model; 8.72 ± 0.48 for PGMGVCE), mean square error (MSE) (12.43 ± 0.67 for Li’s model; 12.81 ± 0.73 for PGMGVCE) and structural similarity index (SSIM) (0.71 ± 0.08 for Li’s model; 0.73 ± 0.12 for PGMGVCE). However, it showed improvements in texture representation, as indicated by total mean square variation per mean intensity (TMSVPMI) (0.124 ± 0.022 for ground truth; 0.079 ± 0.024 for Li’s model; 0.120 ± 0.027 for PGMGVCE), total absolute variation per mean intensity (TAVPMI) (0.159 ± 0.031 for ground truth; 0.100 ± 0.032 for Li’s model; 0.153 ± 0.029 for PGMGVCE), Tenengrad function per mean intensity (TFPMI) (1.222 ± 0.241 for ground truth; 0.981 ± 0.213 for Li’s model; 1.194 ± 0.223 for PGMGVCE) and variance function per mean intensity (VFPMI) (0.0811 ± 0.005 for ground truth; 0.0667 ± 0.006 for Li’s model; 0.0761 ± 0.006 for PGMGVCE). Conclusions: PGMGVCE presents an innovative and safe approach to VCE in MRI, demonstrating the power of deep learning in enhancing medical imaging. This model paves the way for more accurate and risk-free diagnostic tools in medical imaging.
Results of fishing and research on the state of stocks commercial fish species in the Southern Fishery Region of the Volga-Caspian Fishery Basin in the period 2000–2020
Authors: Barabanov Vitaliy V. , Vlasenko Stanislav A. , Razinkov Vyacheslav P. , Lepilin Irina N. , Levashina Natalya V. , Fomin Sergej S. , Vasilchenko Olga  M. , Nikitin Edward V. , Mukhanova Raigul S. , Tkach Veronika N. , Konopleva Irina V. , Voynova Tatyana V. , Chakaltana-S epulveda David A. , Shipulin Sergej  V. , Klyukina Elena  A. , Leontiev Sergej  Yu. 
Published: February 2024

The aim: to study the distribution, population dynamics and rational use of commercial fish species in the Southern fishery region of the Volga-Caspian fishery basin in 2000–2020. Particular attention was paid to the possibility of resuming the domestic fishing of Caspian keels, which constitute a reserve of the raw material base for increasing the Russian catch in the Caspian Sea.Materials: in the period 2000–2020, field and expedition work was carried out annually on research and fishing vessels at standard landfills in the areas of the Northern Caspian Sea, as well as the delta and delta-front of the Volga River, where intensive industrial fishing is conducted. Along with the expedition research data, various statistical materials and Internet information were used.As results: — a nalysis of the state of the raw material base of commercial fish species for the period 2000–2020 and proposals for rational exploitation.Practical value: obtained result can be used to rationalize the management of stocks of commercial fish species.
Famílias de Lepidoptera (Insecta) depositadas na Coleção Entomológica do Centro Integrado de Manejo de Pragas da UFRRJ
Authors: Silva Mariana Emerick , Gazal Vinícius , Berber Gilcele de Campos Martin 
Published: February 2024

O levantamento entomológico é necessário para a determinação de espécies presentes em diferentes locais visando identificar e catalogar possíveis insetos-pragas e/ou o conhecimento da entomofauna existente. O estudo da entomofauna de uma determinada localidade possibilita a tomada de decisão e medidas adequadas para a prevenção e/ou controle de insetos que possam vir a obter status de praga. Dentre as famílias de insetos de interesse agronômico, a Ordem Lepidoptera apresenta-se como potencial praga para as plantas cultiváveis, tendo em vista a quantidade de espécies as quais são hospedeiras. Dessa forma, o presente trabalho teve como objetivo identificar em nível de famílias de lepidópteras coletadas pelos alunos nos anos de 2016, 2017 e 2018 para a disciplina IB234- Entomologia e Parasitologia Aplicada em diferentes locais da região Sudeste. O local de estudo foi conduzido no Centro Integrado de Manejo de Pragas (CIMP) no Departamento de Entomologia e Fitopatologia (DEnF), localizado na Universidade Federal Rural do Rio de Janeiro (UFRRJ). Os resultados encontrados, referentes aos três anos de coleta, família e local, foram comparados pelo teste de χ2, sendo o Bioestat v.5 o software utilizado para realização da análise. Observou-se que em cada ano avaliado foram catalogadas 11 famílias de Lepidoptera, sendo que a ocorrência das famílias Nymphalidae e Sphingidae foram as que obtiveram as maiores porcentagem de ocorrência nos três anos de estudos. Em relação ao local e o ano de coleta, o município de Seropédica e o ano de 2018 foram mais intensos.
Model Hybrid Menggunakan Dekomposisi-Neural Network Untuk Data Indeks Harga Saham Gabungan
Authors: Saluza Imelda , Sartika Dewi , Munarsih Ensiwi 
Published: February 2024

Â The development of Covid-19 has worsened the economy not only nationally but also globally. Since its spread, the price movement of the Jakarta Composite Index (IHSG) has continued to be volatile. JCI price volatility shows risk and uncertainty in investing. Volatility is used as a barometer to determine portfolio management strategies for financial actors. Therefore, financial actors should find a strategy to be able to predict JCI price movements to reduce risks and gain profits. One way that can be done is to predict the JCI price as a reference in investing. This study uses a hybrid model between the decomposition model and the Neural Network (NN) in predicting JCI price volatility. The decomposition uses two approaches, namely additive and multiplicative, the two approaches will then be combined with NN and the NN algorithm used is Feed Forward Neural Network (FFNN) where the results of the decomposition in the form of seasonal, trend, and random data are used as input in the FFNN architecture. The FFNN architecture in this study differs from the hidden layer nodes and the epochs used. Furthermore, the prediction results from the model are compared with a single NN. The performance of each architecture will be measured using the Mean Absolute Error (MAE) and Mean Square Error (MSE). The results show that the hidden layer with more nodes can provide good performance while the epoch used provides good performance depending on the learning process carried out. The prediction results using the hybrid model can outperform the performance of a single NN.Keywords : time series, volatilitas, studi perbandingan, kecerdasan buatan, statistik.
What is a blink? Classifying and characterizing blinks in eye openness signals
Authors: Nyström Marcus , Andersson Richard , Niehorster Diederick C. , Hessels Roy S. , Hooge Ignace T. C. 
Published: February 2024

AbstractBlinks, the closing and opening of the eyelids, are used in a wide array of fields where human function and behavior are studied. In data from video-based eye trackers, blink rate and duration are often estimated from the pupil-size signal. However, blinks and their parameters can be estimated only indirectly from this signal, since it does not explicitly contain information about the eyelid position. We ask whether blinks detected from an eye openness signal that estimates the distance between the eyelids (EO blinks) are comparable to blinks detected with a traditional algorithm using the pupil-size signal (PS blinks) and how robust blink detection is when data quality is low. In terms of rate, there was an almost-perfect overlap between EO and PS blink (F1 score: 0.98) when the head was in the center of the eye tracker’s tracking range where data quality was high and a high overlap (F1 score 0.94) when the head was at the edge of the tracking range where data quality was worse. When there was a difference in blink rate between EO and PS blinks, it was mainly due to data loss in the pupil-size signal. Blink durations were about 60 ms longer in EO blinks compared to PS blinks. Moreover, the dynamics of EO blinks was similar to results from previous literature. We conclude that the eye openness signal together with our proposed blink detection algorithm provides an advantageous method to detect and describe blinks in greater detail.
Multiweights thermomechanics of hemitropic micropolar solids
Authors: Мурашкин Е.В. , Радаев Ю.Н. 
Published: February 2024

Статья посвящена вопросам детерминирования алгебраических весов микрои наномасштабных мультивесовых характеристик термомеханики гемитропных микрополярных тел. Обсуждаются фундаментальные понятия псевдоинвариантых элементов объема и площади нечетных целых весов в трехмерном пространстве. Развиваемая теория гемитропной микрополярной термоупругости формулируется в терминах контравариантного псевдовектора спинорных перемещений положительного нечетного веса при условии постулирования абсолютной инвариантности абсолютной термодинамической температуры, массы и массовых плотностей: энтропии, внутренней энергии, свободной энергии Гельмгольца, контролируемого и неконтролируемого производства энтропии. Предложены мультивесовые псевдотензорные формулировки принципа виртуальных перемещений и приведенного уравнения баланса энергии. Получены и проанализированы мультивесовые формулировки псевдовекторных дифференциальных уравнений статики и динамики гемитропного термоупругого тела. Обсуждаются вопросы взаимовлияния алгебраических весов определяющих псевдоскаляров с целью учета их трансформации в результате преобразования трехмерного пространства, меняющего ориентацию координатного базиса на противоположную.
The article is devoted to the problems of determining the algebraic weights of microand nanoscale multi-weight characteristics of the hemitropic micropolar thermomechanics. The fundamental concepts of pseudoinvariant volume and area elements of odd integer weights in threedimensional space are discussed. The developing theory of hemitropic micropolar thermoelasticity is formulated in terms of a contravariant pseudovector of spinor displacements of a positive odd weight with the fundamental principle of the absolute invariance of absolute thermodynamic temperature, mass and mass densities of: entropy, internal energy, Helmholtz free energy, controlled and uncontrolled entropy production. Multi-weight pseudotensor formulations of wireless transmission principles and a reduced energy balance equation are proposed. Multiweights formulas for pseudovector differential equations of statics and dynamics of a hemitropic thermoelastic body are obtained and analyzed. The problem of mutual influence of algebraic weights of constitutive pseudoscalars are discussed in order to take into account their transformations as a result of the transformation of three-dimensional space, changing the orientation of the coordinate basis to the opposite.
Serendipitous Archival Observations of a New Ultradistant Comet C/2019 E3 (ATLAS)
Authors: Hui 許 Man-To 文韜 , Weryk Robert , Micheli Marco , Huang 黃 Zhong 中 , Wainscoat Richard 
Published: February 2024

Abstract
We identified a new ultradistant comet C/2019 E3 (ATLAS) exhibiting preperihelion cometary activity at heliocentric distances ≳20 au, making it the fourth member of this population after C/2010 U3 (Boattini), C/2014 UN271 (Bernardinelli–Bernstein), and C/2017 K2 (PANSTARRS). From serendipitous archival data, we conducted analyses of the comet, finding that the activity was consistent with steady-state behavior, suggestive of sublimation of supervolatiles; that the cross section of dust increased gradually on the inbound leg of the orbit, varying with heliocentric distances as

r

H

−
1.5
±
0.4

; and that the dust was produced at a rate of ≳102 kg s−1 within the observed timespan. Our modeling of the largely symmetric morphology of the comet suggests that the dust environment was likely dominated by mm-scale dust grains ejected at speeds ≲0.4 m s−1 from the sunlit hemisphere of the nucleus. Assuming a typical geometric albedo of 0.05 and adopting several simplistic thermophysical models, we estimated the nucleus to be at least ∼3 km across. We also measured the color of the comet to be consistent with other long-period comets, except being slightly bluer in g − r. With our astrometric measurements, we determined an improved orbit of the comet, based upon which we derived that the comet is dynamically new and that its perihelion distance will further shrink due to the Galactic tide. We conclude the paper by comparing the known characteristics of the known ultradistant comets.