bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and validation of grief in Facebook groups on mourning
Authors: Marín-Cortés Andrés , Acosta Sebastián , Gómez Fredy , García Andrés , Quintero Sandra 
Published: February 2023

This research aims to analyze the interactions related to the identification and validation of grief in Facebook groups whose purpose is to give support to those who are grieving. A qualitative content analysis of 1,816 comments in three Facebook groups on mourning, published between February 23 and March 23, 2020, was conducted. The comments were grouped into 456 digital interactions between group members, from which the analytic categories “identification with other‘s grief” and “validation of other‘s grief“ were constructed. Among the results of the research, it was found that identification with grief among users of the social network is a recurrent type of emotional support. Identification generates the perception that one‘s own emotional experiences related to grief are shared with others. Validation of grief is another form of support, as it invites users to express their emotions and recognize the grief involved in the mourning process. These two processes, identification and, validation, are at the core of the guidance that users are offered to mitigate their grief. Online groups provide an opportunity for people going through similar experiences of grief to find shared expressions of identification with and validation of their grief, which are fundamental processes of social support.
ЖОЛ ҚҰРЫЛЫСЫ ҮШІН ТИІМДІ ҰСАҚТАУ АРҚЫЛЫ АСФАЛЬТ СЫНЫҚТАРЫН ҚАЙТА ПАЙДАЛАНУ ПЕРСПЕКТИВАЛАРЫ
Authors: АСМАТУЛАЕВ Б.А. , СУРАШОВ Н.Т. , АСМАТУЛАЕВ Р.Б. , АСМАТУЛАЕВ Н.Б. 
Published: February 2023

Предложена математическая модель для обоснования технологических режимов новой дробильной установки, на который получены 3 патента РК. Проведены исследования и опытные работы по сепарации старого асфальтового лома с получением полуфабрикатов. Приведены экономические и технические эффекты. Полуфабрикаты черного щебня различных фракций и черного песка из сепарированного асфальтового лома пригодны для приготовления: новых дорожных асфальтобетонных смесей с экономией 50% новых материалов и 30% битума. Высокопрочные асфальтобетоны с повторным использованием асфальтового гранулята пригодны для строительства покрытий автомобильных дорог всех категорий.
Жаңа ұнтақтау қондырғысының технологиялық режимдерін негіздеу үшін математикалық модель ұсынылған, ол үшін Қазақстан Республикасының 3 патенті қолданды. Ескі асфальт сынықтарын жартылай фабрикаттар алу үшін майдалау бойынша ғылыми-зерттеу және эксперименттік жұмыстар жүргізілді. Экономикалық және техникалық әсерлері көрсетілген. Әр түрлі фракциялардағы қара қиыршық тастың жартылай фабрикаттары және бөлінген асфальт сынықтарынан алынған қара құм жарамды: жаңа материалдардың 50% және битумның 30% үнемдейтін жаңа жол асфальт қоспалары алынды.
A mathematical model is proposed to justify the technological modes of a new crushing plant, for which 3 patents of the Republic of Kazakhstan have been received. Research and experimental work on the separation of old asphalt scrap to obtain semi-finished products has been carried out. Economic and technical effects are presented. Semi-finished products of black crushed stone of various fractions and black sand from separated asphalt scrap are suitable for the preparation of: new road asphalt mixtures with savings of 50% of new materials and 30% of bitumen.
Concentration of maternal biochemical markers: Complications during pregnancy and their effect on the detection of trisomy 21 in the first trimester, by combined test (study carried out at a private clinic in CDMX)
Authors: Luján-Irastorza Jesús Estuardo 
Published: February 2023

Aneuploidies are alterations that affect the number of chromosomes. Historically, a combination of markers has been used that includes: maternal age, concentrations of biochemical markers and ultrasonographic markers during pregnancy, as well as screening in the first trimester in order to detect Trisomy 21 (T21).Objective:To identify if biochemical markers such as Pregnancy Associated Placental Protein A (PAPP-A) and Beta human Chorionic Gonadotropin (β-hCG) are altered by complications during pregnancy and if this leads to an increased risk of developing T21 in pregnant women with healthy babies (combined test).Material and method:Retrospective, observational and cross-sectional study, included 73 pregnant women. Anthropometric data from the mother and the newborn were collected. A combined test was performed in the 1st trimester and biochemical markers were recorded in maternal serum (β-hCG AND PAPP-A) and ultrasonographic markers [Nuchal Translucency (NT)]. In addition, the evaluation of Cell-Free Fetal DNA (cffDNA) in peripheral blood was performed to identify aneuploidies and a pathological study of the placenta.Results:In the group of patients with intermediate risk for T21, there was a higher prevalence of complications during pregnancy [fetal growth restriction (4.5%), preterm labor (4.5%), miscarriage (9.09%) and death (9.09%). In the same way, patients with intermediate risk presented a higher prevalence of placental alterations such as calcifications, atrophy, congested dilated vessels, hemorrhage, hematomas, Chorioangioma, extravasation of erythrocytes and villus infarcts.
Conclusions:The development of placental alterations and the presence of complications in pregnancy could modify the peripheral blood concentrations of β-hCG and PAPP-A, and alter the results of the combined test for T21.
Transmídia na enfermagem pediátrica para orientações aos familiares no enfrentamento da COVID-19: relato de experiência
Authors: Góes Fernanda Garcia Bezerra , Nunes Nátale Gabriele Ferreira , Borges Joyce de Oliveira , Souza Andressa Neto , Soares Iasmym Alves de Andrade , Lucchese Ingrid 
Published: February 2023

Objetivo: descrever a experiência da transmídia na enfermagem pediátrica para orientações aos familiares sobre os cuidados aos recém-nascidos e às crianças no enfrentamento da covid-19. Método: relato de experiência sistematizado em cinco tempos (ponto de partida, perguntas iniciais, recuperação do processo vivido, reflexão de fundo e pontos de chegada), oriundo de um projeto de iniciação tecnológica, com dados do período de agosto 2021/junho 2022, sobre a publicação de conteúdos transmidiáticos, referentes aos cuidados na infância em tempos de covid-19, tendo como público-alvo os familiares de recém-nascidos e crianças. Resultados: conteúdos foram criados e publicados em diversas mídias sociais (Instagram, Facebook, Spotify, Youtube e WhatsApp), permitindo durante a pandemia, o compartilhamento, de forma convergente, de orientações científicas fidedignas e confiáveis. Conclusão: a transmídia na enfermagem pediátrica mostrou-se inovadora, dinâmica e proveitosa, além de baixo custo e grande potencial de abrangência.
Random Forest of Interaction Trees for Estimating Individualized Treatment Regimes with Ordered Treatment Levels in Observational Studies
Authors: Thorp Justin , Levine Richard A. , Li Luo , Fan Juanjuan 
Published: February 2023

Traditional methods for evaluating a potential treatment have focused on the average treatment effect. However, there exist situations where individuals can experience significantly heterogeneous responses to a treatment. In these situations, one needs to account for the differences among individuals when estimating the treatment effect. Li et al. (2022) proposed a method based on random forest of interaction trees (RFIT) for a binary or categorical treatment variable, while incorporating the propensity score in the construction of random forest. Motivated by the need to evaluate the effect of tutoring sessions at a Math and Stat Learning Center (MSLC), we extend their approach to an ordinal treatment variable. Our approach improves upon RFIT for multiple treatments by incorporating the ordered structure of the treatment variable into the tree growing process. To illustrate the effectiveness of our proposed method, we conduct simulation studies where the results show that our proposed method has a lower mean squared error and higher optimal treatment classification, and is able to identify the most important variables that impact the treatment effect. We then apply the proposed method to estimate how the number of visits to the MSLC impacts an individual student’s probability of passing an introductory statistics course. Our results show that every student is recommended to go to the MSLC at least once and some can drastically improve their chance of passing the course by going the optimal number of times suggested by our analysis.
Smoking, alcohol consumption, and 24 gastrointestinal diseases: Mendelian randomization analysis
Authors: Yuan Shuai , Chen Jie , Ruan Xixian , Sun Yuhao , Zhang Ke , Wang Xiaoyan , Li Xue , Gill Dipender , Burgess Stephen , Giovannucci Edward , Larsson Susanna C 
Published: February 2023

Background:Whether the positive associations of smoking and alcohol consumption with gastrointestinal diseases are causal is uncertain. We conducted this Mendelian randomization (MR) to comprehensively examine associations of smoking and alcohol consumption with common gastrointestinal diseases.Methods:Genetic variants associated with smoking initiation and alcohol consumption at the genome-wide significance level were selected as instrumental variables. Genetic associations with 24 gastrointestinal diseases were obtained from the UK Biobank, FinnGen study, and other large consortia. Univariable and multivariable MR analyses were conducted to estimate the overall and independent MR associations after mutual adjustment for genetic liability to smoking and alcohol consumption.Results:Genetic predisposition to smoking initiation was associated with increased risk of 20 of 24 gastrointestinal diseases, including 7 upper gastrointestinal diseases (gastroesophageal reflux, esophageal cancer, gastric ulcer, duodenal ulcer, acute gastritis, chronic gastritis, and gastric cancer), 4 lower gastrointestinal diseases (irritable bowel syndrome, diverticular disease, Crohn’s disease, and ulcerative colitis), 8 hepatobiliary and pancreatic diseases (non-alcoholic fatty liver disease, alcoholic liver disease, cirrhosis, liver cancer, cholecystitis, cholelithiasis, and acute and chronic pancreatitis), and acute appendicitis. Fifteen out of 20 associations persisted after adjusting for genetically predicted alcohol consumption. Genetically predicted higher alcohol consumption was associated with increased risk of duodenal ulcer, alcoholic liver disease, cirrhosis, and chronic pancreatitis; however, the association for duodenal ulcer did not remain statistically significant after adjustment for genetic predisposition to smoking initiation.Conclusions:This study provides MR evidence supporting causal associations of smoking with a broad range of gastrointestinal diseases, whereas alcohol consumption was associated with only a few gastrointestinal diseases.Funding:The Natural Science Fund for Distinguished Young Scholars of Zhejiang Province; National Natural Science Foundation of China; Key Project of Research and Development Plan of Hunan Province; the Swedish Heart Lung Foundation; the Swedish Research Council; the Swedish Cancer Society.
Three-dimensional quantitative analysis of temporal region morphology in Chinese young adult
Authors: Wu Yumeng , Zeng Chongmai , Feng Duanyu , Chen Zhilong , Fu Qian , Liao Wen 
Published: February 2023

Background
Temporal filling is commonly used to correct temporal depression. However, there is a lack of quantitative criteria for pre- and post-operative evaluations. The use of three-dimensional scanning may help improving the success of temporal filling by providing quantitative assessments. The study aimed to compare the results of qualitative morphological evaluation of the temporal region with a quantitative, numerical analysis of the temporal difference value (TDV).

Methods
We enrolled twenty-six male and forty-nine female volunteers aged 18 to 29 years. Facial images were acquired in OBJ format using 3dMD facial stereo-photography. The morphologies of the temporal regions were separately evaluated by four researchers in the form of two-dimensional (2D) images. Results were classified as either aesthetic or unaesthetic. The quantitative evaluation of the temporal region was then conducted. First, the temporal region was trimmed out from the original 3D image into a new OBJ file. Second, interpolation was used to construct a smooth, adapted surface. Third, a mathematical model of temporal region flatness denoted as the TDV, which was defined as the sum of the Euclidean distances of all 3D points between the constructed surface and the temporal-region OBJ file. The classification of each sample was compared with its TDV to verify the mathematical model’s validity. The cutoff threshold and prediction accuracy of this mathematical model were calculated.

Results
The cutoff threshold between aesthetic and unaesthetic TDV was found to be 24.66 for males and 28.11 for females. The prediction accuracy rate was 0.73 for men and 0.73 for women.

Conclusion
The method has high overlap and good repeatability and minimizes the influence of subjective aesthetics on morphological judgment. TDV has a certain reference value for clinical temporal region evaluation.
Ecology of Honeyeaters (Meliphagidae) in Western Australian Eucalypt Woodlands II. Yellow-plumed Honeyeater Lichenostomus (Ptilotula) ornatus
Authors: Recher Harry F. 
Published: February 2023

ABSTRACT
The Yellow-plumed Honeyeater Lichenostomus (Ptilotula) ornatus is a short-billed honeyeater which has declined in abundance over its range in Western Australia (WA), but remains abundant in the Great Western Woodland (GWW) where this study was conducted. It is also found in southeastern Australia where it occurs mostly in mallee woodlands. Yellow-plumed Honeyeaters form colonies from which they exclude small honeyeaters, canopy insectivores, and lerp-feeders; colonies persist for years. Colonies occurred in habitats dominated by different species of eucalypts (Eucalyptus spp), but were structurally similar, with trees of similar size forming a dense canopy, and lacking a shrub layer.
Yellow-plumed Honeyeaters rely on lerp and honeydew for energy and take arthropods within the colony by gleaning and probing from eucalypts, and opportunistic hawking. Foliage is the most common foraging substrate, but they also probe under bark of live branches and trunks. Yellow-plumed Honeyeaters move between patches of nectar-rich flowers outside the colonies, aggregating where eucalypt blossom is abundant. Such movements can be described as locally nomadic and there was no evidence in the GWW of migration or regional scale movements. The proportion of nectar and non-nectar foraging did not differ between years or localities, with half of foraging observations being of nectar-feeding. Yellow-plumed Honeyeaters are sensitive to the effects of drought, with less nesting during dry seasons, and colonies abandoning less productive habitats. Nests were spaced over a wide height range, but most were in the lower canopy of eucalypts. Nesting was not synchronous.
Their decline can be attributed to the fragmentation and clearing of the most productive habitats in WA for agriculture and urban expansion. Extensive areas of productive forest and woodlands are required to maintain colonies. As a result, Yellow-plumed Honeyeaters are vulnerable to land-clearing and climate change and should be listed as threatened. Currently they are listed as a species of ‘Least Concern’. Conservation of Yellow-plumed Honeyeaters and associated species will only be achieved through protection of extensive areas and corridors of intact forest and woodland, such as the Great Western Woodland in WA.
Correlation between Anxiety and Smartphone Addiction in the Teenager Population at Kalam Kudus II Senior High School
Authors: Setyo D. Stefanus Gardino , Firmansyah Yohanes , Tan Sukmawati Tansil , Santoso Alexander Halim , Ernawati . , Tadjudin Noer Saelan , Lontoh Susy Olivia , Nataprawira Sari Mariyati Dewi 
Published: February 2023

Aims: To find out whether there is a correlation between anxiety and smartphone addiction in the teenager population at kalam kudus II senior high school.
Study Design: This research was a cross sectional study
Place and Duration of Study: Kalam Kudus II Senior High School Jakarta on December 15 2022 .
Methodology: This research was a cross sectional study, the target population in this study were all high school students. The reachable population in this study were all students at Kalam Kudus II Senior High School Jakarta. The sample of this study is part of the reachable population that meets the inclusion criteria.The minimum sample size required is 97 respondents (type I error of 5% with a research power of 95%).
Results: This study included 178 respondents who met the inclusion criteria. Based on the results of the Spearman Correlation Test, it was found that there was a positive correlation of 0.274 (Weak) and statistically significant (p-value <0.001). This means that the higher the anxiety and the higher the anxiety level will encourage an increase in the value of the Smartphone Addiction Scale.
Further analysis using post-hoc Bonferoni showed that there was a significant Smartphone Addiction Scale value between the moderate anxiety vs. mild anxiety (p-value : 0.035) and moderate anxiety vs. normal/minimal anxiety (p-value : 0.005)
Conclusion: A higher level of anxiety will cause the Smartphone Addiction Scale's value to rise, which is means that the more a person is addicted to a smartphone, the higher the level of anxiety that person feels.
Assessment of the Role of Artificial Intelligence in the Association Between Time of Day and Colonoscopy Quality
Authors: Lu Zihua , Zhang Lihui , Yao Liwen , Gong Dexin , Wu Lianlian , Xia Meiqing , Zhang Jun , Zhou Wei , Huang Xu , He Chunping , Wu Huiling , Zhang Chenxia , Li Xun , Yu Honggang 
Published: January 2023

ImportanceTime of day was associated with a decline in adenoma detection during colonoscopy. Artificial intelligence (AI) systems are effective in improving the adenoma detection rate (ADR), but the performance of AI during different times of the day remains unknown.ObjectiveTo validate whether the assistance of an AI system could overcome the time-related decline in ADR during colonoscopy.Design, Setting, and ParticipantsThis cohort study is a secondary analysis of 2 prospective randomized controlled trials (RCT) from Renmin Hospital of Wuhan University. Consecutive patients undergoing colonoscopy were randomly assigned to either the AI-assisted group or unassisted group from June 18, 2019, to September 6, 2019, and July 1, 2020, to October 15, 2020. The ADR of early and late colonoscopy sessions per half day were compared before and after the intervention of the AI system. Data were analyzed from March to June 2022.ExposureConventional colonoscopy or AI-assisted colonoscopy.Main Outcomes and MeasuresAdenoma detection rate.ResultsA total of 1780 patients (mean [SD] age, 48.61 [13.35] years, 837 [47.02%] women) were enrolled. A total of 1041 procedures (58.48%) were performed in early sessions, with 357 randomized into the unassisted group (34.29%) and 684 into the AI group (65.71%). A total of 739 procedures (41.52%) were performed in late sessions, with 263 randomized into the unassisted group (35.59%) and 476 into the AI group (64.41%). In the unassisted group, the ADR in early sessions was significantly higher compared with that of late sessions (13.73% vs 5.70%; P = .005; OR, 2.42; 95% CI, 1.31-4.47). After the intervention of the AI system, as expected, no statistically significant difference was found (22.95% vs 22.06%, P = .78; OR, 0.96; 95% CI; 0.71-1.29). Furthermore, the AI systems showed better assistance ability on ADR in late sessions compared with early sessions (odds ratio, 3.81; 95% CI, 2.10-6.91 vs 1.60; 95% CI, 1.10-2.34).Conclusions and RelevanceIn this cohort study, AI systems showed higher assistance ability in late sessions per half day, which suggests the potential to maintain high quality and homogeneity of colonoscopies and further improve endoscopist performance in large screening programs and centers with high workloads.
Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year
Authors: Engelhard Matthew M. , Henao Ricardo , Berchuck Samuel I. , Chen Junya , Eichner Brian , Herkert Darby , Kollins Scott H. , Olson Andrew , Perrin Eliana M. , Rogers Ursula , Sullivan Connor , Zhu YiQin , Sapiro Guillermo , Dawson Geraldine 
Published: February 2023

ImportanceAutism detection early in childhood is critical to ensure that autistic children and their families have access to early behavioral support. Early correlates of autism documented in electronic health records (EHRs) during routine care could allow passive, predictive model-based monitoring to improve the accuracy of early detection.ObjectiveTo quantify the predictive value of early autism detection models based on EHR data collected before age 1 year.Design, Setting, and ParticipantsThis retrospective diagnostic study used EHR data from children seen within the Duke University Health System before age 30 days between January 2006 and December 2020. These data were used to train and evaluate L2-regularized Cox proportional hazards models predicting later autism diagnosis based on data collected from birth up to the time of prediction (ages 30-360 days). Statistical analyses were performed between August 1, 2020, and April 1, 2022.Main Outcomes and MeasuresPrediction performance was quantified in terms of sensitivity, specificity, and positive predictive value (PPV) at clinically relevant model operating thresholds.ResultsData from 45 080 children, including 924 (1.5%) meeting autism criteria, were included in this study. Model-based autism detection at age 30 days achieved 45.5% sensitivity and 23.0% PPV at 90.0% specificity. Detection by age 360 days achieved 59.8% sensitivity and 17.6% PPV at 81.5% specificity and 38.8% sensitivity and 31.0% PPV at 94.3% specificity.Conclusions and RelevanceIn this diagnostic study of an autism screening test, EHR-based autism detection achieved clinically meaningful accuracy by age 30 days, improving by age 1 year. This automated approach could be integrated with caregiver surveys to improve the accuracy of early autism screening.