bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abdominal Pain and Depression, Not Bowel Habits, Predict Health Care Utilization in Patients With Functional Bowel Disorders
Authors: Yu Vanessa , Ballou Sarah , Hassan Rifu , Singh Prashant , Shah Eric , Rangan Vikram , Iturrino Johanna , Nee Judy , Lembo Anthony 
Published: May 2021

INTRODUCTION:
Patients with disorders of gut-brain interaction (DGBIs) are high users of health care. Past studies exploring predictors of utilization have lacked patient-level clinical data. The aim of the current study is to identify demographic, clinical, and psychological predictors of health care utilization in patients with irritable bowel syndrome (IBS), functional constipation (FC), and functional diarrhea (FDr).

METHODS:
Consecutive new patients diagnosed with IBS, FC, and FDr (using Rome IV criteria) completed questionnaires assessing health care utilization as well as clinical and psychological symptoms. Health care utilization was assessed using a 13-item measure inquiring about the previous 6 months. Patient-Reported Outcome Measures Information System (PROMIS) was used to assess severity of abdominal pain, constipation, diarrhea, anxiety, depression, and sleep disturbance.

RESULTS:
Of the 507 patients diagnosed with IBS, FC, or FDr, 434 completed the health care utilization questionnaire (mean age of 44 years, 79.5% female, and 73.5% IBS). In the final multivariable models, more severe abdominal pain and higher depression scores were significantly associated with increased utilization of (i) total outpatient visits, (ii) outpatient visits for gastrointestinal (GI) symptoms, and (iii) number of medications for GI symptoms. More severe abdominal pain was also significantly predictive of GI-related emergency department visits. Altered bowel habits were not consistent predictors of health care utilization.

DISCUSSION:
Severity of abdominal pain and depressive symptoms, but not bowel habits, is a primary driver of increased care-seeking behavior in patients with IBS, FC, and FDr.
Understanding the thermal durability of wood-based composites (WBCs) using crack propagation fracture toughness
Authors: Mahapatra Sweta , Sinha Arijit , Nairn John A. 
Published: May 2021

Abstract
Wood-based composites (WBCs) are engineered wood products that are commonly used in the building and furniture industries. Most research on their durability has relied on internal bond testing, bending strength properties, or damage observations. An alternative property with potentially more information is fracture toughness. Here, fracture toughness was continuously measured during crack propagation for three different composites—oriented strand board (OSB), medium density fiberboard (MDF), and particleboard (PB). The resulting plots for fracture toughness as a function of crack growth are known as the material’s R curve. To assess the role of temperature on WBC durability, R curve experiments were repeated at 10 different temperatures from 20 to 200 °C. Trends in experimental results could be described by a trilinear model. OSB and MDF toughness initially increased with temperature and then decreased above 80 °C. The toughness of PB, which was made with a different resin, remained constant or decreased slightly until decreasing faster above 140 °C. Both the resin type and composite structure affected the results.
On the existence of posterior mean for Bayesian logistic regression
Authors: Pham Huong T. T. , Pham Hoa 
Published: May 2021

Abstract
Existence conditions for posterior mean of Bayesian logistic regression
depend on both chosen prior distributions and a likelihood function.
In logistic regression, different patterns of data points can lead
to finite maximum likelihood estimates (MLE) or infinite MLE of the
regression coefficients. Albert and Anderson
[On the existence of maximum likelihood estimates in logistic regression models,
Biometrika 71 1984, 1, 1–10]
gave definitions of different types of data points, which are complete separation, quasicomplete
separation and overlap. Conditions for the existence of the MLE for
logistic regression models were proposed under different types of
data points. Based on these conditions, we propose the necessary and
sufficient conditions for the existence of posterior mean under different
choices of prior distributions. In this paper, a general wide class
of priors, which are informative priors and non-informative priors
having proper distributions and improper distributions, are considered
for the existence of posterior mean. In addition, necessary and sufficient
conditions for the existence of posterior mean for an individual coefficient is also proposed.
PROFESSIONAL CONSULTING, PLANNING AND DESIGN OF REGIONAL DEVELOPMENT IN THE FACE OF INCREASING UNCERTAINTIES AND RISKS
Authors: Fomenko G. A. , Fomenko M. A. 
Published: May 2021

The article reveals features of the ongoing transformations in the field of consulting, planning and design in the field of regional development in the face of increasing uncertainties and risks, primarily related to climate change and biodiversity loss. It shows that the very basis of such work is significantly changing, as the world-system becomes more complex, during the transition from the concept of an “empty” world to a “full” world. This change includes increasing emphasis on ensuring the resilience of human-dominated ecosystems, a change in decision-making, using behavioral a “responsible” human model that best meets the needs of inclusive sustainable development.The authors define features of consulting, planning and design of regional development in the face of increasing uncertainties and risks, as a special type of thinking activity, in a situation of approaching radical uncertainty. The article shows the necessity of supplementing natural science approaches with the tools and practices of post-normal science and the narrative theory of beliefs, as well as the ideas of K. Friston, implemented within his dynamic causal model.Such an approach is based on a systematic approach to decision-making in regional development and pays special attention to the adaptation of individuals and communities to high risks and uncertainties, primarily climatic and natural. It helps to better reflect the diversity of geographical conditions, to clarify the range of effective solutions for sustainable development of regions and increase the long-term resilience of business.
APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS
Authors: Lisovsky A. L. 
Published: May 2021

Work is devoted to application of neural network technologies for management development of systems. In article the analysis of efficiency of introduction of neural network technologies is carried out to business processes of three Russian companies and the positive effect locates when using neural networks in several parameters.The case analysis is added with the analysis of economic feasibility of introduction of neural networks by means of an assessment of studied indicators, an assessment of satisfaction of clients, control of the personnel, an assessment of efficiency of each employee. Recommendations about application of neural networks in the organization are made.In article it is shown that in spite of the fact that many actions necessary for introduction of system, are costly and long-term, they will positively affect company activity.
Adölesan olan ve olmayan annelerde çocukluk çağı travmaları, postpartum depresyon ve maternal bağlanma
Authors: ÇINAKLI Şule , ARSLANTAŞ Hülya 
Published: May 2021

Amaç: Bu çalışma adölesan olan ve olmayan annelerde çocukluk çağı travmaları, postpartum depresyon ve maternal bağlanma değişkenleri arasındaki farklılıkları araştırmak amacı ile kesitsel olarak yapılmıştır.
Gereç ve Yöntem: Araştırma 2014-2016 tarihleri arasında Aydın’da bir üniversite hastanesinde doğum yapan ve doğumdan sonra kontrole gelen adölesan olan ve olmayan annelerde yapılmıştır. Formlar annelere doğumdan sonraki 4. ve 6. haftalar arasında uygulanmıştır. Araştırma verileri sosyodemografik özellikleri içeren anket formu, Çocukluk Çağı Travmaları Ölçeği (ÇÇTÖ), Edinburgh Doğum Sonrası Depresyon Ölçeği (EDSDÖ) ve Maternal Bağlanma Ölçeği (MBÖ) ile toplanmıştır.
Bulgular: Çalışmamızda yer alan annelerin %27.6'sı adölesan, %72.4'ü yetişkin annelerden oluşmuştur. Adölesan annelerin ÇÇTÖ toplam puan ortalamaları 45.75±16.08 iken adölesan olmayan annelerde bu oran 35.78±10.66 olup fark istatistiksel olarak anlamlıdır. Adölesan annelerin MBÖ toplam puanlarının adölesan olmayan annelerden daha düşük olduğu ve bu farkın istatistiksel olarak anlamlı olduğu belirlenmiştir. Annelerin EDSDÖ puanları karşılaştırıldığında adölesan annelerin toplam puanlarının adölesan olmayan annelerden daha yüksek olduğu ve bu farkın anlamlı olduğu görülmüştür.
Sonuç: Adölesan olan annelerde ÇÇTÖ alt gruplarından olan duygusal ve fiziksel istismar ile fiziksel ve duygusal ihmal daha fazladır. Adölesan annelerin bebeklerine maternal bağlanmaları daha düşük olup doğum sonrası depresyon riskleri ise daha fazladır.
The impact of objective nutritional indexes on in-hospital mortality in Covid-19 infection
Authors: YILDIRIM Arafat , OZCAN ABACIOGLU Ozge , BELİBAĞLI Mehmet Cenk 
Published: May 2021

Purpose: The effect of nutritional status on in-hospital mortality in patients with coronavirus disease 2019 (COVID-19) is unclear. We aimed to analyze the relationship between nutritional status score (CONUT) and prognostic nutritional index (PNI) and in-hospital mortality in COVID-19 infection.
Materials and Methods: We included 187 patients with COVID-19 between 11 March-10 May 2020. The CONUT and PNI scores were calculated using the laboratory results. The groups were divided into survival and in-hospital mortality
Results: The mean age of the patients was 66.2±15.8 years (55.3% male). The mortality rate was 20.8% (n=39). The median PNI scores was significantly lower and the median CONUT score was significantly higher in the mortality group. Multivariate regression analysis showed that PNI and CONUT were independent predictors of mortality. ROC curve analyses showed that CONUT had a better performance than PNI to predict in-hospital mortality.
Conclusion: In COVID-19 patients, CONUT and PNI scores were independently associated with in-hospital mortality, with CONUT presenting a better performance than PNI.
Sekiz haftalık yapılandırılmış Brain Gym aktivite programının üniversite öğrencilerinin seçici dikkat, inhibitör kontrol ve bilişsel esneklik üzerine etkisi
Authors: EKERER Ceylan , INCE Gonca , ÖVER Mehmet Fahrettin 
Published: May 2021

Amaç: Bu çalışma, Yapılandırılmış Brain Gym aktivite programının, üniversite öğrencilerinin yönetici fonksiyonları üzerine etkisini değerlendirmek amacıyla yapıldı.
Gereç ve Yöntem: Çalışmaya, Mersin İli’nde bulunan yaş ortalaması 19,91±1,23 yıl olan 33 sedanter üniversite öğrencisi gönüllü olarak katıldı. Katılımcılar, rastgele yöntemiyle Çalışma Grubu (ÇG) ve Kontrol Grubu (KG) olarak 2’ye ayrıldı. ÇG’nda bulunan 15 katılımcıya 8 hafta süreyle, haftada 2 gün ve günde 50 dk olmak üzere Yapılandırılmış Brain Gym Aktivite Programı (YBGAP) uygulandı. KG’nda bulunan 18 katılımcı ise bu süre içerisinde düzenli hiçbir fiziksel aktiviteye katılmadı. Çalışma öncesi ve sonrasında tüm katılımcılara yönetici fonksiyon testleri (D2 Dikkat Testi, Stroop-Renk Testi, Sözel Akıcılık Testi) uygulandı.
Bulgular: 8 hafta sonunda çalışma grubunun Stroop -Renk testi ve D2 testi sonuçlarında pozitif yönde anlamlı bir fark görülürken, kontrol grubunda her iki testte de anlamlı bir fark görülmedi. Sözel Akıcılık Testi sonuçlarında ise her iki grupta da anlamlı bir değişiklik olmadığı tespit edildi.
Sonuç: 8 haftalık YBGA programının üniversite öğrencilerinin inhibitör kontrol ve seçici dikkat gibi yönetici fonksiyonlarının gelişimine katkı sağlamaktadır.
The success of machine learning algorithms developed with radiomic features obtained from preoperative contrast-enhanced MRI in the prediction of short-term survival in patients with glioblastoma
Authors: DILEK Okan , DEMIREL Emin , BİLGİN Emre , BOZKURT DUMAN Berna , GÜLEK Bozkurt 
Published: May 2021

Purpose: This study aimed to evaluate the predictability of survival in patients with glioblastoma using a machine learning (ML) model developed with tissue analysis features obtained through preoperative post-contrast T1-weighted images(T1WI).
Materials and Methods: The radiomic features of tumors were obtained from postcontrast T1WI of 60 glioblastoma patients. Radiomic properties, density, shape, and textural properties obtained from six matrices were included in the analysis. The patients' three- and six-month survival rates were recorded. Five different ML algorithms were applied to create predictive models [random forest, neural network, linear discriminant analysis(LDA), stochastic gradient descent (SGD), and support vector machine(SMV)].
Results: The mean survival time of the patients was 295.4 days, and the median value was 211.5 (17-1357) days. Among the models developed for three- and six-month survival prediction, the highest success was obtained from the LDA algorithm, in which the AUC values were calculated as 0.88 and 0.78, respectively.
Conclusion: Using ML techniques, the success of predicting imaging-based patient survival was very high. With the development and widespread adoption of these techniques, ML models will be useful in deciding on treatment according to survival prediction in glioblastoma.
Remisyonda olan bipolar bozukluk tip I olgularında bilinçli farkındalık ve atak sıklığı ilişkisi
Authors: ÇAKMAK Soner , TAMAM Lut 
Published: May 2021

Amaç: Bu çalışmada ötimik bipolar bozukluk (BB) tip I hastalarda var olan bilinçli farkındalık (BF) düzeylerinin atak sıklıkları, tedavi uyumları ve iç görü düzeyleri ile ilişkilerinin incelenmesi amaçlanmıştır.
Gereç ve Yöntem: Çalışmaya düzenli kontrole gelen 97 ötimik BB tip 1 hasta alınmıştır. Katılımcılara Sosyodemografi Veri Formu, Bilinçli Farkındalık Ölçeği (BFÖ), Morisky İlaç Uyum Ölçeği (MUÖ), İç görü Değerlendirme Ölçeği (İDÖ) uygulanmıştır.
Bulgular: Tedavi uyumu yüksek ve orta düzeyde olan hastalarda, düşük düzeyde olanlara göre BF düzeyleri yüksek bulunmuştur. BF düzeyi ile iç görü düzeyi ve atak sıklıkları arasında istatistiksel olarak anlamlı ilişki bulunmamıştır. Regresyon analizlerinde ise hastalarda tedaviye uyum düzeylerinin son iki yıldaki manik/hipomanik atak sıklığı ile anlamlı ilişkisinin olduğu belirlenmiştir.
Sonuç: BB hastalarında ötimik dönemde var olan BF düzeylerinin atak sıklığı üzerinde etkisinin olmadığı bulunmuştur. BF düzeyleri yüksek olan BB hastalarında tedavi uyum düzeylerinin yüksek olduğu ve BF’nin tedaviye uyumu artırıcı bir etkisinin olduğu belirlenmiştir. BF tedavi uyumunu artırmakta, tedavi uyumu yüksek hastalarda ise manik/hipomanik atak sıklığı azalmaktadır..
Zebrafish: Recomendações de Manutenção em Laboratório
Authors: Rivero-Wendt Carla Letícia Gediel , Matias Rosemary , Nascimento Giovana Coutinho Zulin do , Heredia-Vieira Silvia Cristina , Santos Magno Rafael Miranda , Pinto Júnior Osvaldo Borges 
Published: May 2021

O zebrafish ou paulistinha (Danio rerio) são cada vez mais utilizados em pesquisas científicas incluindo a pesquisa básica e aplicada nas áreas de biomedicina, toxicologia, ciências ambientais e aquicultura. No Brasil, os biotérios automatizados são escassos, têm custo oneroso e para fazer uso do modelo animal são necessárias adaptações para criação e manutenção da espécie. Deve existir a compreensão de que as adaptações devem respeitar os padrões de qualidade, implicando na diminuição de mortalidade e doenças nos aquários de manutenção. O objetivo desta revisão de literatura é apresentar as recomendações de protocolo de manutenção do zebrafish, em condições de laboratório, sem o uso de biotério automatizado. Apesar da gama de informações e diferentes métodos de manutenção encontrados para a espécie, fica claro que em condições de laboratório se deve manter o animal nas melhores condições, possibilitando qualidade no desenvolvimento e na reprodução para realizar experimentos com confiabilidade de execução.

Palavras-chave: Desenvolvimento. Ambiente e Sustentabilidade. Danio rerio. Biotério.

Abstract
The use of Zebrafish or paulistinha (Danio rerio) has increased considerably in basic and applied scientific research as biomedicine, toxicology, environmental sciences and aquaculture. In Brazil, automated experimental animal facilities are scarce and costly. To make use of this animal model, adaptations are required for creation and maintenance. These changes must respect quality standards, providing mortality and disease reduction in aquariums maintenance. The literature review aim is to synthesize recommendations for the zebrafish maintenance protocol in laboratory conditions without the automated experimental animal facility. Despite the information range and different maintenance methods found for the species, it is clear that under laboratory conditions, the animal must be kept in the best conditions, enabling development and reproduction quality to be used in experiments with reliable execution.
Keywords: Development. Environment and Sustainability. Danio rerio. Experimental Animal Facility.
Physical Performance Testing of a Prototype Gerotor Pump Operating in Liquid and Gas/Liquid Conditions
Authors: Ejim C. E. , Xiao J. , Oshinowo L. 
Published: May 2021

Summary
Gerotors are positive displacement pumps and potential artificial lift options in the oil and gas industry. This study presents the performance characteristics from physical testing of a unique one-stage, equal-walled gerotor pump design operating in oil and oil/air mixtures. The pump was tested at various rotational speeds in a flow loop. The performance results were obtained to ascertain potential design optimizations of the pump before embarking on manufacturing and testing of the field prototype pump.
A physical prototype of a one-stage 400 series gerotor pump, suitable for application in a 5.5-in. casing, was designed, manufactured, assembled, and tested. Mineral oil and air were used as the operating media. For given pump outlet valve settings, the pump rotational speeds were set to 200, 250, 300, and 350 rev/min. Gas volume fractions (GVFs) at the pump inlet were varied from 0% to the maximum the current pump design could handle. For each test point, the corresponding pump parameters were measured. Dimensionless performance plots were established for obtaining pump performance at other flow conditions.
The results showed that pump flow rate decreased with increasing differential pressure, typical of positive displacement pumps. At 200 and 350 rev/min, maximum pump delivery is approximately 190 and 330 B/D of oil, respectively, at zero differential pressure. The pump can supply flow against a differential pressure of up to approximately 5.5 psi at 200 rev/min and 15 psi at 350 rev/min. For the 200 to 350 rev/min speed range, volumetric efficiencies varied from 30 to 73%, whereas the electric power input varied from 145 to 191 W. When pumping oil/air mixtures, the current gerotor pump design can handle 15% GVF maximum, at 250, 300, and 350 rev/min. For certain pump outlet pressures, the total fluid flow rates decreased as the GVF increased to 15%. The volumetric efficiencies at 15% GVF varied from 32 to 53% for the 300 to 350 rev/min speed range, whereas the motor electric power input decreased with increasing GVF up to 15%. In conclusion, increasing the pump rotational speed improves the volumetric efficiency and gas-handling capability of the gerotor pump. These observations will aid in the required design optimization to enhance the performance of the future field prototype gerotor pump.
This study presents the capabilities of gerotors as potential artificial lift alternatives to handle liquid and gas/liquid mixtures for boosting applications in oilfield operations. The technology with additional design optimization can be readily integrated into oilfield equipment architecture. The mechanical simplicity of gerotors and their compactness provides a promising artificial lift substitute that may be implemented for downhole or surface production of liquid or gas/liquid mixtures in the oil and gas industry.
Stenotrophomonas Nematodicola Sp. Nov., a Novel Intestinal Lifespan-Prolonging Bacterium for Caenorhabditis Elegans That Assists in Host Resistance to Bacillus Nematocida Colonization
Authors: Han Rui , Wang Yu , Deng Yang , Zhang Yuqin , Zhang Lin , Niu Qiuhong 
Published: May 2021

Abstract
The soil-dwelling opportunistic bacterium Bacillus nematocida B16 shows comparatively strong killing activities against a variety of pathogenic nematodes. A bacterial strain CPCC 101271T, isolated from intestines of C. elegans in natural habitats, was found not only to be probiotics for C. elegans but also assist in resisting pathogen B16 infection. The lifespan of Caenorhabditis elegans fed on strain CPCC 101271T was extended by approximately 40% compared with that of worms fed on Escherichia coli OP50. In addition, the colonization of C. elegans by the pathogenic bacterium B. nematocida B16 was inhibited when it was pre-fed with strain CPCC 101271T. Based on a polyphasic taxonomy study including genotypic, chemotaxonomic and phenotypic characteristics, we propose that strain CPCC 101271T represents a novel bacterial species with the name Stenotrophomonas nematodicola sp. nov. and CPCC 101271T as the type strain. Metagenomic sequence analysis of the intestinal microbiota of C. elegans fed with strain CPCC 101271T and then infected with B16 revealed that pre-feeding with CPCC 101271T improved the diversity of intestinal bacteria, while the community structure varied significantly together with the fluctuation of Stenotrophomonas spp. and Bacillus spp. abundance during competition between strain CPCC 101271T and B16. In conclusion, the nematode microbiota strain CPCC 101271T, a novel species of the genus Stenotrophomonas, assisted in its host resistance to the pathogen Bacillus nematocida colonization, so as to act as an intestinal life span-prolonging for C. elegans.
QSAR-QMMM Cryptographic Mining on Chern-Simons Topologies for the generation of a Ligand Targeting SARS-COV-2 D614G Binding Sites.
Authors: Grigoriadis Ioannis 
Published: May 2021

Abstract
SARS coronavirus 2 (SARS-CoV-2) in the viral spike (S) encoding a SARS-COV-2 SPIKE D614G mutation protein predominate over time in locales revealing the dynamic aspects of its key viral processes where it is found, implying that this change enhances viral transmission. In this paper, we strongly combine topology geometric methods targeting at the atomistic level the protein apparatus of the SARS-COV-2 virus that are simple in machine learning anti-viral characteristics, to propose computer-aided rational drug design strategies efficient in computing docking usage, and powerful enough to achieve very high accuracy levels for this in-silico effort for the generation of the AI-Quantum designed molecule of GisitorviffirnaTM, Roccustyrna_gs1_TM, and Roccustyrna_fr1_TM ligands with Preferred IUPAC Names of (7aR) ‐5‐amino‐N‐[(S) ‐ {2‐[(S) ‐[(E) ‐(amino methylidene) amino](cyano) methyl]hydrazin‐1‐yl} (aziridin‐1‐yl) phosphoryl]‐ 1‐[(2E) ‐2‐ [(fluoromethanimidoyl) imino]acetyl]‐7‐oxo‐1H,7H,7aH‐pyrazolo[4,3‐d]pyrimidine‐3‐carboxamide;N‐{[(2‐amino‐6‐oxo‐6,9‐dihydro‐1H‐purin‐9‐yl) amino]({1‐[5‐({[cyano({1‐[(diamino methylidene) amino] ethenyl}) amino]oxy} methyl) ‐3,4‐dihydroxyoxolan‐2‐yl]‐1H‐1,2,4‐triazol‐3‐yl}formamido) phosphoryl} ‐6‐fluoro‐3,4‐dihydropyrazine ‐2‐carboxamide; [3‐(2‐amino‐5‐sulfanylidene‐1,2,4‐triazolidin‐3‐yl) oxaziridin‐2‐yl]({3‐sulfanylidene‐1,2,4,6 ‐tetraazabicyclo [3.1.0]hexan‐6‐yl}) phosphoroso1‐(3,4,5‐trifluorooxolan‐2‐yl) ‐1H‐1,2,4‐triazole‐3‐carboxylate targeting the COVID-19-SARS-COV-2 SPIKE D614G mutation using Chern-Simons Topology Euclidean Geometric in a Lindenbaum-Tarski generated QSAR automating modeling and Artificial Intelligence-Driven Predictive Neural Networks.