bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of regular exercise assessed by pedometer on pregnancy outcomes and maternal mental health.
Authors: Simavli Serap , Ulas Deniz , Kosus Aydın , Kosus Nermin , Kaygusuz İkbal 
Published: January 2023

Abstract
Purpose
For healthy pregnant women, regular exercise is advised due to the wealth of advantages it has for both physical and emotional well-being. Aim of this study was to evaluate the effects of physical activity and exercise capasity assessed by pedometer on obstecric and neonatal outcomes.
Methods
Women who has exercised during their pregnancy for 30 minutes or more were defined exercise group and women who has not exercised were defined as a control group. Exercise capasity of women was assessed with 6 minutes walking test with using step counter and its association with pregnancy outcome was determined. Postpartum anxiety level and satisfaction rate were measured using the visual analog scale (VAS), postpartum depression rate was assessed with Edingburg Postpartum Depression Scale (EPDS) at postpartum day one and day eight.
Results
Steps count and step length were found significantly higher and pregnancy complications were lower in the exercise group (p < 0.05). Duration of labor, firts breastfeeding time and neonatal intencive care unit (NICU) needs were found shorter in the exercise group (p < 0.05). A significant difference was observed between the two groups in terms of anxiety level and satisfaction rate (p < 0.05) and postpartum depression rate at postpartum day one and day eight (p < 0.05).
Conclusion
Regular exercise during pregnancy has a positive effect on pregnancy outcome and maternal health without causing complications for the mother and baby.
Selenite adsorption and reduction via Iron(II) impregnated activated carbon produced from the Phosphoric acid activation of landfill waste wood
Authors: Strong Oliver , France Hamant , Scotland Kevin , Wright Kelly , Vreugdenhil Andrew James 
Published: January 2023

Abstract
Chemical activation of waste materials to form activated carbon, (AC) is complicated by the large amounts of chemical activating agents required and wastewater produced. To address these problems, we have developed an optimized process for producing AC by phosphoric acid activation of construction waste. Waste wood from construction sites was ground and treated with an optimized phosphoric acid digestion and activation that resulted in high surface areas (> 2000 m2/g) and a greater recovery of phosphoric acid. Subsequently the phosphoric acid activated carbon (PAC), was functionalized with iron salts and evaluated for its efficacy on the adsorption of selenite and selenate. Total phosphoric acid recovery was 96.7% for waste wood activated with 25% phosphoric acid at a 1:1 ratio, which is a substantially higher phosphoric acid recovery than previous literature findings for phosphoric acid activation. Post activation impregnation of iron salts resulted in iron(II) species adsorbed to the PAC surface. The iron(II) chloride impregnated AC removed up to 12.45 ± 0.025 mg selenium per g Iron-PAC. Competitive ions such as sulfate and nitrate had little effect on selenium adsorption, however, phosphate concentration did negatively impact the selenium uptake at high phosphate levels. At 250 ppm, approximately 75 of adsorption capacity of both the selenate and the selenite solutions was lost, although selenium was still preferentially adsorbed. Peak adsorption occurred between a pH of 4 and 11, with a complete loss of adsorption at a pH of 13.
Gastrinomas and Non-functioning Pancreatic Endocrine Tumors in Multiple Endocrine Neoplasia Syndrome Type-1 (MEN-1)
Authors: CAMERA LUIGI , Boccadifuoco Francesca , Modica Roberta , Messerini Luca , Faggiano Antongiulio , Romeo Valeria , Gaudieri Valeria , Colao Annamaria , Maurea Simone , Brunetti Arturo 
Published: January 2023

Abstract
Purpose: Illustrate imaging findings of gastrinomas and non-functioning pancreatic endocrine tumors (NF-PNET) in a patient with multiple endocrine neoplasia type-1 (MEN-1) syndrome with a radiologic-pathologic correlation for both along with the results of a 13 yrs observational study.
Methods: A 48 yrs old male patient with MEN-1 and a Zollinger-Ellison syndrome was submitted to a duodeno-cephalopancreatectomy (DCP) extended to the pancreatic body to remove several gastrinomas shown by an endoscopic-ultrasonography as well as a large (> 2 cm) hypo-vascular pancreatic nodule shown by a contrast-enhanced multi-detector CT (CE-MDCT). Further conventional (CT/MR) and functional imaging (68Ga-PET-DOTA-TOC) studies were performed over the next 13 years.
Results: Up to 14 gastrin-positive NET-G1 (pT2,N1) as well as a single PNET-G2 (pT2,N0) were found at histo-pathology which also showed a NET-G1 in the uncinate process where CE-MDCT documented a 9 mm hyper-vascular nodule. A 7 mm pancreatic nodule with identical contrast-enhancement pattern was also shown at the level of the pancreatic tail which was left to preserve endocrine function. At this level, follow-up studies documented the occurence of a small (< 1 cm) hypo-vascular nodule which was metastatic at presentation and rapidly progressed under somastatin-analogs therapy whereas the hyper-vascular nodule remained stable over 13 years. Both the pancreatic lesion as well as the hepatic metastasis showed pathologic uptake of the radiotracer with a SUVmax of 6.3 and 29.5, respectively, allowing the patient to be scheduled for a Peptide Receptor Radionuclide Therapy performed with 29.6 GBq of 177Lu-Oxotreotide.
Conclusions: Contrast-enhancement patterns are correlated with both the histological grade as well as the biological behaviour of PNETS.
An analysis of the effect of fiscal expenditure on the income distribution of Chilean households
Authors: Garrido Nicolás , Morales Jeffry 
Published: January 2023

Abstract
This study analyzes the effect of government spending on income distribution in Chile for 2016 using a multiplier model with the Social Accounting Matrix. The results indicate that increasing fiscal expenditure has a regressive effect on the income share of households in the richest quintile and widens the income gap between the two poorest quintiles and the third and fourth quintiles. When the effect of fiscal expenditure is measured by its nominal impact, households with the highest income receive approximately ten times more income than those with the lowest income. Thus, the regressivity of the income share of the richest households conceals an unequal distribution of the nominal income generated by the fiscal expenditure. Using counterfactual simulations, we suggested that fiscal expenditures could become more equalitarian through policies affecting the distribution of labor payments.
The development of a new patient-reported outcome measure in recessive ataxias: The Person-Reported Ataxia Impact Scale
Authors: Tremblay Marjolaine , Brais Bernard , Asselin Véronique , Buffet Martin , Girard André , Girard Denis , Berbiche Djamal , Gagnon Cynthia 
Published: January 2023

Abstract
Introduction. Autosomal recessive cerebellar ataxias (ARCAs) are inherited neurological disorders that can affect both thecentral and peripheral nervous systems. To assess the effects of interventions according to the perception of people affected, patient-reported outcome measures (PROMs) must be available.
Objective. This paper presents the development process of the Person-Reported Ataxia Impact Scale (PRAIS), a new PROM in recessive ataxias, and the documentation of its content validity, interpretability, and construct validity (structural and discriminant).
Patients and methods.The development followed the PROMIS framework and the Food and Drug Administration guidelines. A mixed-method study design was used to develop the PROM. A systematic review of the literature, semistructured interviews, and discussion groups was conducted to constitute an item pool. Experts’ consultation helped formulate items, and the questionnaire was sent online to be completed by people affected. Statistical analyseswere performed to assess the structural and discriminant validity.
Results. A total of 125 people affected by recessive ataxia completed the questionnaire. The factoranalysis confirmed the three components: physical functions and activities, mental functions, and social functions. The statistical analysis showed that it can discriminate between stages of mobility and level of autonomy. It showed very good levels of internal consistency (0.79 to 0.89).
Conclusion. The Person-Reported Ataxia Impact Scale (PRAIS) is a 38-item questionnaire that assesses the manifestations and impacts of the disease according to the perception of people affected by recessive ataxia. It can be used in clinical and research settings.
Spectral Indices for Characterizing Lentil Accessions in the Dryland of Pacific Northwest
Authors: Amin Md Nurul , Islam Mazadul 
Published: January 2023

Abstract
Lentil is a cool season legume crop suffering terminal stress in different part of the world, especially in North America, Australia, Southwest Asia and North Africa. Drought stress, which is often linked with high temperatures, is very damaging to grain legumes in practically all agricultural environments. In this experiment, 49 accessions were sown with a check variety in an augmented design in Whitlow farm 2015, central ferry farm 2016 and Spillman farm 2016, Washington state university. The three different locations were in the dryland of southeastern Washington. The collected 49 accessions were screened, where 32 germplasm were taken from the United States Department of Agriculture's single plant-derived core collection and 16 from lentil reference population of ICARDA and one check variety was Avondale. Secondary traits such as green normalized difference vegetation index (GNDVI), red normalized difference vegetation index (RNDVI), photochemical reflectance index (PRI), red normalized difference vegetation index (RNDVI), water band index (WBI), and normalized water index (NWI) were collected using a multi spectral reflectance device and agronomic metrics days to flowering (DTF), biomass and seed yield (SYP) data were also collected as well. Multi trait genotype ideotype distance (MGIDI) addresses the restrictions of AMMI and GGE analysis by using BLUP and ideotype distance, which can properly select genotypes with higher yields as well as consider other desirable parameters GNDVI, RNDVI, PRI, WBI, NWI. The accessions Avondale, PI 368647, ILL7090, PI33690, PI 5187, ILL 86, ILL595, PI 533690, PI 518734, ILL 1649, ILL 4781 were selected as the ten best genotypes and Avondale, ILL7090, PI533690 were less affected by G x E interaction and selected for further evaluation based on AMMI, GGE and MGIDI index.
Learning Curve and Analysis of the First Robot-assisted Gynecologic Surgeries in a Highly Specialised Center
Authors: Schröder Carolin , Mangler Mandy , Lanowska Malgorzata , Blohmer Jens-Uwe , Mustea Alexander 
Published: January 2023

Abstract
Background
The da Vinci robotic system is a new operative tool and its exact role in a highly specialised centre for surgical cancer therapy has yet to be defined.
Materials and Methods
In a monocentric study, the first patients who underwent robot-assisted gynecological surgery between February 2014 and July 2015 by one surgeon at Charité Universitätsmedizin Berlin Campus Mitte have been compared 1:1 to patients, operated conventionally by laparoscopy. Matching was done by one of the principal investigators. The measured parameters were surgery time (ST), total surgery time (TST), loss of haemoglobin level, estimated blood loss and length of hospitalisation. The postoperative complications were evaluated using the international Clavien-Dindo classification. A learning curve was evaluated and thecomplication parameters of the robot-assisted group were compared within different learning phases.
Results
For the robot-assisted group, TST was longer (mean [SD] minutes, 212 [87], 185 [89], p = 0.005). There were no differences in blood loss (mean [SD] loss of haemoglobin in g/dl, 1.7 [1.1], 0.9 [1.6], p = 0.60; mean [SD] estimated blood loss in ml, 215 [190], 204 [195], p = 0.375) and length of stay (mean [SD] days, 7 [2], 7 [3], p = 0.972). The learning curve showed a three-phase division after an initial learning curve of only twelve robot-assisted surgeries. There was no difference in the overall complication rates between the two groups as well as between the three learning phases of the robot group.
Conclusion
Robot-assisted gynecological surgeries are associated with longer operating times. Differences regarding complication parameters and postoperative recovery were not observed.
Multi-Step Transfer Learning in Natural Language Processing in the Health Domain
Authors: Manaka Thokozile , Zyl Terence van , Kar Deepak , Wade Alisha 
Published: January 2023

Abstract

As a result of the restricted access to data in healthcare facilities due to patient privacy and confidentiality policies, the application of general natural language processing (NLP) techniques has advanced relatively slowly in the health domain. Additionally, because clinical data is unique to various institutions and laboratories, there aren't enough standards and standards for data annotation. In places without robust death registration systems, the cause of death (COD) is determined through a verbal autopsy (VA) report. A non-clinician field agent completes a VA report using a set of predefined questions as a guidance in order to identify the symptoms of a COD. The narrative text of the VA report is used as a case study to examine the difficulties of applying NLP techniques to the health care domain.Motivated by multi-step learning where a final learning task is realized via a sequence of intermediate learning tasks, this paper presents a framework to leverage knowledge across the two domain adaptation settings of feature extraction and fine-tuning to improve VA narrative representations for COD classification task in the health domain. We use the Bidirectional Encoder Representations from Transformers (BERT) and Embeddings from Language Models (ELMo) models pretrained on the general English and health domains to extract features from the VA narratives. Our results demonstrate increased performance when the two embeddings from the English and health domains—learned through the domain adaptation tasks of feature extraction and fine-tuning are combined. The advantage of using character embeddings in conjunction with word embeddings is also apparent.
Performance Analysis of Authentication system: A Systematic Literature Review
Authors: Singla Divya , Verma Neetu 
Published: January 2023

Abstract

Data authentication is vital nowadays, as the development of the internet and its applications allow users to have all-time data availability, attracting attention towards security and privacy and leading to authenticating legitimate users. We have diversified means to gain access to our accounts, like passwords, biometrics, and smartcards, even by merging two or more techniques or various factors of authentication. This paper presents a systematic literature review of papers published from 2010 to 2022 and gives an overview of all the authentication techniques available in the market. Our study provides a comprehensive overview of all three authentication techniques with all the performance metrics (Accuracy, Equal Error Rate (EER), False Acceptance Rate (FAR)), security, privacy, memory requirements, and usability (Acceptability by user)) that will help one choose a perfect authentication technique for an application. In addition, the study also explores the performance of multimodal and multi-factor authentication and the application areas of authentication.
Role and modality of combining radiotherapy with immunotherapy in Stage III-IV Unresectable Small Cell Lung Cancer
Authors: Guo Yongxin , An Qi , Chen Lining , Li Tianyu , Chen Dongjie , Liang Jun , Wang Luhua , Jiang Wei 
Published: January 2023

Abstract
Background
The combination of radiotherapy and immunotherapy was rarely reported in the management of small cell lung cancer(SCLC). We retrospectively assessed the role and modality of this combination in Stage III-IV unresectable SCLC.
Methods
We conducted this study in the South Branch of National Cancer Center(Shenzhen, China). Efficacy and safety of immunotherapy combined with radiotherapy were evaluated in III to IV SCLC patients according to AJCC 8th edition. Thereinto, patients received first-line chemo-immunotherapy and sequential thoracic consolidation radiotherapy (TCRT) were further evaluated. Survival and descriptive analyses were performed.
Results
Between January 1, 2019 and December 31, 2021, 51 patients were included in our analysis. Median follow-up was 28.0 months(95%CI 22.8–33.2). Patients received radiotherapy in treatment course had a prolonged 2-year overall survival(OS). And in the first-line immunotherapy cohort of 27 patients, the addition of TCRT significantly improved 2y-OS(72.22% vs. 13.89%, p = 0.0048), 2y-locoregional recurrence free survival(LRRFS)(90.00% vs 48.00%, p = 0.011), and 2y-distance progression free survival(DPFS)(66.67% vs. 16.67%, p = 0.039). Subgroup analyses showed that TCRT rendered superior outcomes regardless of brain metastases. Dose-escalation(45Gy/15f) and earlier radiotherapy seemed to improve the benefit. Of 70.37%(19/27) patients experienced disease progression in the TCRT evaluation cohort, 63.16%(12/19) patients failed in brain. A tendency toward better OS and superior brain metastases free survival(BMFS) were observed after receiving prophylactic cranial irradiation(PCI). Finally, the most common grade 2 or higher toxic effects were pneumonitis in all patients(11.76% of immune-related vs. 7.84% of radiation related).
Conclusion
Earlier addition of TCRT to immunotherapy could significantly improve survival and extracranial control for stage IIIA-IVB unresectable SCLC patients, with no increased risk of adverse events. In the era of immunotherapy, PCI may still be a recommended strategy. Further investigation is warranted.
Integrating synthetic accessibility with AI-based generative drug design
Authors: Parrot Maud , Tajmouati Hamza , Silva Vinicius Barros Ribeiro da , Atwood Brian , Fourcade Robin , Gaston-Mathé Yann , Huu Nicolas Do , Perron Quentin 
Published: January 2023

Abstract
Generative models are frequently used for de novo design in drug discovery projects to propose new molecules. However, the question of whether or not the generated molecules can be synthesized is not systematically taken into account during generation, even though being able to synthesize the generated molecules is a fundamental requirement for such methods to be useful in practice. Methods have been developed to estimate molecule “synthesizability”, but, so far, there is no consensus on whether or not a molecule is synthesizable. In this paper we introduce the Retro-Score (RScore), which computes a synthetic feasibility score of molecules by performing a full retrosynthetic analysis through our data-driven synthetic planning software Spaya, and its dedicated API: Spaya-API (https://spaya.ai). We start by comparing several synthetic feasibility scores to a binary ground truth of synthetic feasibility as estimated by chemists on a bench of generated molecules, as a first experimental validation that the RScore is a reliable synthetic feasibility score. We then describe a pipeline to generate molecules that validate a list of targets while still being easy to synthesize. We further this idea by performing experiments comparing molecular generator outputs across a range of constraints and conditions. We show that the RScore can be learned by a Neural Network, which leads to a new score: RSPred. We demonstrate that using the RScore or RSPred as a constraint during molecular generation enables our molecular generators to produce more synthesizable solutions, with higher diversity. The open-source Python code containing all the scores and the experiments can be found on https://github.com/iktos/generation-under- synthetic-constraint.
Obtaining of novel pyrazolo pyrimidine disazo dyes derived from 4-position and a theoretical and experimental comparison of their characteristic properties
Authors: Demircali Aykut , Bayrakdar Alpaslan , Kizak Hazal , Tasli Pinar Tunay , Yıldırım Fati 
Published: January 2023

Abstract
In the study,
5-(4-Arylazo-3-methyl-1H-pyrazole-5-ylazo)4-hydroxy-6-methyl-1H-pyrimidin-2-one
dyes were synthesized and were reported. At the beginning of the
study, first of all, aniline and aniline compounds derived from the
4 position were interacted with the 3-aminocrotononitrile which the
active methylene compound. Then, these compounds were reacted with
hydrazine monohydrate and 5-amino-4-arylazo-3-methyl-1H-pyrazole
(2a-2e) mono azo dyes were synthesized as a result of ring closing
reaction. In the next step, 2a-2e dyes were diazotized again and
intermediate products were formed by coupling with ethyl
acetoacetate. At the last stage, these intermediate compounds were
heated with urea under appropriate laboratory conditions and were
obtained
5-(4-Arylazo-3-methyl-1H-pyrazole-5-ylazo)4-hydroxy-6-methyl-1H-pyrimidin-2-one
dyestuffs (3a-3e). In the continuation, the structure
characteristics of compounds were characterized by methods such as
elemental analysis, Fourier transform infrared
spectroscopy-Attenuated total reflectance and 1H-Nuclear
magnetic resonance spectroscopy. The measurements of the dyes were
taken in 6 different solvents in the UV Visible spectrophotometer.
By comparing the results, the solvent, substituent and acid-base
properties of the compounds were examined. In addition to the
experimental characterization of the compounds discussed in the
present article, their molecular structures, spectroscopic and
electronic properties are analyzed theoretically using ab-initio
calculation methods based on density functional theory (DFT) in the
ground state to support experimental studies.
Numerical Simulation of Flow-Diverting Stent: Comparison between branches in Bifurcation Brain Aneurysm
Authors: Boite Yasmin , Klein Tânia Suaiden , Medronho Ricardo de Andrade , Wajnberg Eduardo 
Published: January 2023

Abstract
The usage of flow-diverting stents in the treatment of intracranial aneurysms is widespread due to their high success and low complication rates. However, their use is still not officially recommended for bifurcation aneurysms, as there is a risk of generating ischemic complications due to the reduced blood flow to the jailed branch. Many works utilize computational fluid dynamics (CFD) to study how hemodynamic variables respond to flow diverter placement, but few seem to use it to verify flow variation between branches of bifurcation aneurysms and to aid in the choice of the best ramification for device placement. This investigation was performed in the present work, by comparing wall shear stress (WSS) and flowrates for a patient-specific scenario of a Middle Cerebral Artery (MCA) aneurysm, considering device placement on each branch. A secondary objective was to follow a methodology that provides fast results, envisioning application to daily medical practice. The device was simplified as a homogeneous porous medium and extreme porosity values were simulated for comparison. Results suggest that stent placement on either branch is both safe and effective, significantly reducing WSS and flow into the aneurysm while maintaining flow to the different ramifications within acceptable thresholds.