bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organic-Sulfonate Functionalized Graphene as a High Temperature Lubricant for Efficient Antifriction and Antiwear in Water-Based Drilling Fluid
Authors: Tian Xiao , Song Ningning , Yang Guangbin , Zhou Changhua , Zhang Shengmao , Zhang Pingyu 
Published: December 2021

Abstract
The lubricity of drilling fluid resistant to high-temperature over 200℃ is still one of the technological breakthroughs. In this study, the graphene modified with sodium dodecylbenzene sulfonate (SDBS) was selected as a resistant to high-temperature lubricant. Our results show that the drilling fluids have high stability after aging at 240°C with the assistance of the SDBS/graphene. Excitingly, the tribological performance test results revealed that the SDBS/graphene exert excellent anti-friction and anti-wear properties. Compared with the base slurry, the friction coefficient and wear rate of the SDBS/graphene slurry are reduced by 76% and 59%, respectively. The deposited film composed of graphene, Al2O3, SiO2, Fe2O3, FeSO4 actualized the protection of the sliding contact zone, proving that the sulfonate group on the SDBS/graphene contributed to prompt the deposition of the graphene and bentonite and then enhanced tribological properties of the drilling fluids. Overall, the graphene modified with SDBS is expected to solve the difficulty to form effective deposited film and poor lubricity of the drilling fluid under high-temperature.
Pregnancy Outcomes in Takayasu Arteritis Patients
Authors: He Shiping , Li Zhi , Song Yijun , Yang Yunjiao , Li Jing , Zhao Jiuliang , Wang Yanhong , Tian Xinping , Zeng Xiaofeng 
Published: December 2021

Abstract
BackgroundsTakayasu Arteritis (TAK) is a chronic inflammatory autoimmune disease with a high prevalence in women of child-bearing age. We aim to investigate the maternal complications and pregnancy outcomes in patients with TAK and identify the related factors.MethodsA total of 110 pregnancies in 80 TAK patients in a Chinese TAK patient cohort and 440 matched pregnancies in healthy women between 2000 to 2020 were included. The maternal complications and pregnancy outcomes between TAK patients and matched controls were compared by chi-square test. The logistic regression analysis was used to identify the risk factors of maternal complications and adverse pregnancy outcomes in patients with TAK.ResultsMaternal complications and adverse pregnancy outcomes were more frequent in pregnancies with TAK than that in healthy women (P<0.001). In pregnancies with TAK, the most common maternal complication was new-onset or worsening of hypertension (18.2% [20/110]) and the most prevalent obstetrical complication was spontaneous abortion (32.7% [36/110]). Hypertension (OR 5.01, 95% CI 1.61 to 16.01), heart disease (OR 15.83, 95% CI 1.99 to 125.99), and active TAK (OR 7.54, 95% CI 1.85 to 30.72) before pregnancy were independently associated with increased maternal complications. The disease duration (OR 1.12, 95% CI 1.02 to 1.23) and active disease during pregnancy (OR 14.59, 95% CI 1.81 to 117.49) were correlated with adverse pregnancy outcomes. ConclusionTAK disease itself is a risk factor for adverse pregnancy outcomes. Treating the disease to a stable state before and after pregnancy, and close collaboration between rheumatologists and obstetricians are important measures to reduce maternal complications and reach favorable pregnancy outcomes.
Nutraceuticals Known to Promote Hair Growth Do not Interfere with the Inhibitory Action of Tamoxifen in MCF7, T47D and BT483 Breast Cancer Cell Lines
Authors: Baker Richard , Dell’Acqua Giorgio , Richards Aleksander , Thornton M Julie 
Published: December 2021

Abstract
Background:Hair loss/thinning is a common side effect of tamoxifen in estrogen receptor (ER) positive breast cancer therapy. Some nutraceuticals known to promote hair growth are avoided during breast cancer therapy for fear of phytoestrogenic activity. However, not all botanical ingredients have similarities to estrogens, and in fact, no information exists as to the true interaction of these ingredients with tamoxifen. Therefore, this study sought to ascertain the effect of nutraceuticals (+/- estrogen/tamoxifen), on proliferation of breast cancer cells and the relative expression of ERα/β.Methods:Kelp, Astaxanthin, Saw Palmetto, Tocotrienols, Maca, Horsetail, Resveratrol, Curcumin and Ashwagandha were assessed on proliferation of MCF7, T-47D and BT483 breast cancer cell lines +/- 17β-estradiol and tamoxifen. Each extract was analysed by high performance liquid chromatography (HPLC) prior to use. Cellular ERα and ERβ expression was assessed by qRT-PCR and western blot. Changes in the cellular localisation of ERα:ERβ and their ratio following incubation with the nutraceuticals was confirmed by immunocytochemistry.Results:Estradiol stimulated DNA synthesis in three different breast cancer cell lines: MCF-7, T-47D and BT483, which was inhibited by tamoxifen; this was mirrored by a specific ERα agonist in TD47 and BT483 cells. Nutraceuticals did not interfere with tamoxifen inhibition of estrogen; some even induced further inhibition when combined with tamoxifen. The ERα:ERβ ratio was higher at mRNA and protein level in all cell lines. However, incubation with nutraceuticals induced a shift to higher ERβ expression and a localization of ERs around the nuclear periphery.Conclusions:As ERα is the key driver of estrogen-dependent breast cancer, if nutraceuticals have a higher affinity for ERβ they may offer a protective effect, particularly if they synergize and augment the actions of tamoxifen. Since ERβ is the predominant ER in the hair follicle, further studies confirming whether nutraceuticals can shift the ratio towards ERβ in hair follicle cells would support a role for them in hair growth. Although more research is needed to assess safety and efficacy, this promising data suggests the potential of nutraceuticals as adjuvant therapy for hair loss in breast cancer patients receiving endocrine therapy.
Schinus Terebinthifolia Raddi: A Comparative Framework On Population Genetic Structure In A Restored Area After 12 Years*
Authors: de Souza Erica Moraes Santos , Álvares-Carvalho Sheila Valéria , Ferreira Robério Anastácio , Mann Renata Silva 
Published: December 2021

Abstract
The success of restoration projects depends upon the genetic diversity of the implanted species. It is a limiting factor, often because the seed sources are immersed in highly fragmented landscapes. This work was carried out to compare the genetic diversities of the juveniles and the adult trees of Schinus terebinthifolia Raddi in a mixed reforestation area, both in the restoration process and in the remaining natural area in the Atlantic Forest. Through five SSR primers, it was observed that the implanted population showed a greater genetic diversity index (He) (0.553 adults and 0.505 juveniles) when compared to the wild population (0.487 adults and 0.483 juveniles). It indicated that the forested area was established with individuals of high genetic diversity. There was a reduction of genetic diversity, with the loss of exclusive alleles and maintenance of inbreeding and coancestry in the juveniles of the reforested population. It can be inferred that there was a low gene flow among the fragments. The effective population size in both populations (adults and juveniles) was lower than that recommended for conserving populations in the short and long terms. These results have shown that continuous monitoring of this particular area is of absolute necessity and for applying techniques that can promote the connectivity of the fragments. It would allow for a more significant reduction of genetic drift and the persistence of the planted populations.
Data-driven and model-based framework for smart water grid anomaly detection and localization
Authors: Wu Z. Y. , Chew A. , Meng X. , Cai J. , Pok J. , Kalfarisi R. , Lai K. C. , Hew S. F. , Wong J. J. 
Published: December 2021

Abstract
With increasing adoption of advanced meter infrastructure, smart sensors together with SCADA (Supervisory Control and Data Acquisition) systems, it is imperative to develop novel data analytics and couple the results with hydraulic modeling to improve the quality and efficiency of water services. One important task is to timely detect and localize anomaly events, which may include, but not be limited to, pipe bursts and unauthorized water usages. In this paper, a comprehensive solution framework has been developed for anomaly detection and localization by formulating and integrating data-driven analytics with hydraulic model calibration. Data analysis for anomaly detection proceeds in multiple steps including the following: (1) data pre-processing to eliminate and correct erroneous data records, (2) outlier detection by statistical process control methods and deep machine learning, and (3) system anomaly classification by correlation analysis of multiple sensor events. Classified system anomaly events are subsequently localized via hydraulic model calibration. The integrated solution framework is developed as a user-friendly and effective software tool, tested, and validated on the selected target areas in Singapore.
Water sanitation, hygiene and the prevalence of diarrhea in the rural areas of the delta region of Myanmar
Authors: Ko Shane Htet , Sakai Hiroshi 
Published: December 2021

Abstract
Myanmar is an agriculture-based country with 70% of the total population residing in rural areas. Around half of the total population in Myanmar has to consume water from unimproved sources. The prevalence of diarrhea due to contaminated drinking water is high even in urban areas. The urban community may expect the provision of municipal water supply in the near future if the current revolution against military dictatorship succeeds. However, the rural areas have less or no chance to get quality water because of a lot of other prioritized tasks. Household water treatment is encouraged to be implemented as one of the national water safety plans for rural water supply in Myanmar. This study explored the diarrhea prevention awareness of the rural community using a questionnaire survey. The microbial quality parameters of drinking water sources were also examined. Fecal coliform contamination was detected in all examined drinking water sources. A significant association was found between drinking untreated water and the occurrence of diarrhea. The percentage of people who applied the diarrhea preventive measures was low. Even if they knew how to prevent the disease, very few people applied the measures in reality. Therefore, measures to cause behavioral change should be initiated, together with awareness raising, to promote diarrhea prevention in the community.
Survey and first report ofAcanthamoebaT4 genotype in natural spring water resources in the Black Sea, Turkey
Authors: Karaman Ulku , Koloren Zeynep , Karanis Panagiotis 
Published: December 2021

AbstractInfection with Acanthamoeba spp. may result in granulomatous amoebic encephalitis and Acanthamoeba keratitis. Water is an important habitat where Acanthamoeba species thrive. Therefore, studying the occurrence of this free-living amoeba in water sources will help understand the infection dynamics. The aim of the study was to survey and report on the presence of Acanthamoeba spp. in water resources from the Ordu and Giresun provinces in Black Sea. Acanthamoeba spp. was found in 1/17 natural spring water samples from Ordu and in 2/18 from Giresun. Acanthamoeba species were not detected in any of the investigated tap water samples. Sequencing of the (SSU) rDNA gene resulted in the identification of haplotype I (Acanthamoeba genotype: KJ094684). T4 (8.6%) was the only isolated genotype in both Ordu and Giresun provinces. This is the first report of Acanthamoeba T4 genotype in natural spring water resources in the Black Sea. The occurrence of Acanthamoeba species in natural spring water sources should be considered as a potential risk for human infection, especially to high-risk populations.
Preventive strategies for reuse and recycling of wastewater within the HDG production
Authors: Villamar Cristina A. , Salazar Katherine , Montenegro-Rosero Karla , Huaraca Luis , da Conceicao Kennedy C. 
Published: December 2021

Abstract
The hot-dip galvanizing consumes raw materials, supplies, and influence in the quantity/quality of wastewater, opening advantage for its segregation, reuse, and recycling. Therefore, the aim was to establish strategies for segregation, recycling, and preventives process of wastewater from a hot dip galvanizing enterprise (&gt;10,000 t/year of galvanizing steel or gs). A mass balance (inputs-outputs by 1 t gs), Sindex considering organic and inorganic parameters for segregation/recycling, and Water Pinch (Zn, COD, TDS) for reuse opportunities were determined. Flow diagrams were based on three scenarios that combine segregation/reuse/recycling, comparing saving water, energy, costs, and carbon dioxide equivalent (CO2-eq) emissions. Results (mass balance) demonstrated that the water consumption in the rising phases (2,355.2 L/t gs) corresponding to 95% of the total water demand. The best scenario combined reuse, segregation and recycling, which decreased up to 36% of treated wastewater, up to 40% of chemicals consumption, about 41% of treatment cost, close to 38% of energy consumed, and up to 17% of CO2-eq emissions by wastewater treatment. Therefore, taking preventive measures without the need of technological changes (treatment) can achieve on efficient water management within of the hot-dip galvanizing production in developing countries.
Development of Nanomaterials-fabricated Paper-based Sensors for the
Analysis of Environmental and Biological Samples: A Review
Authors: Monisha  , Shrivas Kamlesh , Patle Tarun Kumar , Jamunkar Reena , Jain Vikas Kumar , Banerjee Subhash , Kumar Antresh 
Published: December 2021

Background:
Currently, the environmental and biological samples, such as water, soil,
vegetables, etc., are highly contaminated with metal ions, anions and pesticides. For analysis of these
toxic substances from the environmental and biological samples, sophisticated and expensive
instruments are being used. The present work deals with the development of a simple, faster, sensitive
and economical method for the analysis of toxic substances present in different samples.

Methods:
The general methods for synthesis and characterization of metallic (Ag, Au, Cu and graphene)
nanoparticles and conductive polymer for the development of conductive nano-ink and fabrication
of paper substrate by direct deposition and laser, wax, or inkjet printing techniques, have been
reported.

Results:
Paper-based sensors fabricated with different nanomaterials used as colorimetric, electrochemical
and fluorescence-based chemical sensors for the quantitative determination of pesticides and
toxic metal ions in various biological and clinical samples have been comprehensively discussed in
this review.

Conclusion:
The low-cost, rapid, eco-friendly, flexible, portable, and paper-based sensors using nanoparticles
(NPs) are in demand for on-site detection of different chemical constituents present in
various environmental, biological and clinical samples.
Experience Verification of 63 Cases of Liver Transplantation Anesthesia Management
Authors: Hasegawa Haruko , Ozaki Makoto , Yokokawa Sumire , Kotera Yoshihito , Egawa Hiroto 
Published: December 2021

Background:
We reviewed the intraoperative management of previous liver transplantation (LT) cases to identify an optimal anesthetic method, which may affect patient outcomes and lead to faster postoperative recovery for future recipients.

Methods:
This single-center retrospective study reviewed 63 patients who underwent LT, including 51 living donor LT (LDLT), seven deceased donor LT (DDLT), and five simultaneous liver-kidney transplantation patients. We examined the patients’ backgrounds, intraoperative management (anesthetic method, water balance, and catecholamine dosage), and postoperative courses (hospitalization period, length of intensive care unit stay, renal function).

Results:
All patients received general anesthesia using inhalational anesthetics, either sevoflurane or desflurane, and both drugs were administered similarly. Rocuronium was administered at its usual dose despite liver failure. All patients undergoing preoperative dialysis due to acute kidney injury were successfully withdrawn from dialysis after surgery. The albumin infusion volume was 32% of the total infusion and transfusion volume. The five-year survival rate was 88% and graft failure occurred in one case.

Conclusion:
The anesthetic management of LT is currently conducted empirically in our institution, and we could not identify an optimal anesthetic method. However, we drew some conclusions. First, the use of human atrial natriuretic peptide as a drug infusion and appropriate transfusion management was expected to restore renal function. Second, the infusion volume of albumin was high. Third, the usual dose of rocuronium was required because excessive bleeding may cause unstable plasma drug concentration. Our results will be useful in future multi-institutional studies or meta-analyses and further improving the outcomes of future transplant recipients.
Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review
Authors: Liu Danxia , Feng Xing Lin , Ahmed Farooq , Shahid Muhammad , Guo Jing 
Published: December 2021

Background
Detection of depression gained prominence soon after this troublesome disease emerged as a serious public health concern worldwide.

Objective
This systematic review aims to summarize the findings of previous studies concerning applying machine learning (ML) methods to text data from social media to detect depressive symptoms and to suggest directions for future research in this area.

Methods
A bibliographic search was conducted for the period of January 1990 to December 2020 in Google Scholar, PubMed, Medline, ERIC, PsycINFO, and BioMed. Two reviewers retrieved and independently assessed the 418 studies consisting of 322 articles identified through database searching and 96 articles identified through other sources; 17 of the studies met the criteria for inclusion.

Results
Of the 17 studies, 10 had identified depression based on researcher-inferred mental status, 5 had identified it based on users’ own descriptions of their mental status, and 2 were identified based on community membership. The ML approaches of 13 of the 17 studies were supervised learning approaches, while 3 used unsupervised learning approaches; the remaining 1 study did not describe its ML approach. Challenges in areas such as sampling, optimization of approaches to prediction and their features, generalizability, privacy, and other ethical issues call for further research.

Conclusions
ML approaches applied to text data from users on social media can work effectively in depression detection and could serve as complementary tools in public mental health practice.
Internet-Delivered Cognitive Behavioral Therapy for Generalized Anxiety Disorder in Nationwide Routine Care: Effectiveness Study
Authors: Ritola Ville , Lipsanen Jari Olavi , Pihlaja Satu , Gummerus Eero-Matti , Stenberg Jan-Henry , Saarni Suoma , Joffe Grigori 
Published: December 2021

Background
Therapist-supported, internet-delivered cognitive behavioral therapy (iCBT) is efficacious for generalized anxiety disorder (GAD), but few studies are yet to report its effectiveness in routine care.

Objective
In this study, we aim to examine whether a new 12-session iCBT program for GAD is effective in nationwide routine care.

Methods
We administered a specialized, clinic-delivered, therapist-supported iCBT for GAD in 1099 physician-referred patients. The program was free of charge for patients, and the completion time was not predetermined. We measured symptoms with web-based questionnaires. The primary measure of anxiety was the GAD 7-item scale (GAD-7); secondary measures were, for pathological worry, the Penn State Worry Questionnaire and, for anxiety and impairment, the Overall Anxiety Severity and Impairment Scale.

Results
Patients completed a mean 7.8 (SD 4.2; 65.1%) of 12 sessions, and 44.1% (485/1099) of patients completed all sessions. The effect size in the whole sample for GAD-7 was large (Cohen d=0.97, 95% CI 0.88-1.06). For completers, effect sizes were very large (Cohen d=1.34, 95% CI 1.25-1.53 for GAD-7; Cohen d=1.14, 95% CI 1.00-1.27 for Penn State Worry Questionnaire; and Cohen d=1.23, 95% CI 1.09-1.37 for Overall Anxiety Severity and Impairment Scale). Noncompleters also benefited from the treatment. Greater symptomatic GAD-7–measured relief was associated with more completed sessions, older age, and being referred from private or occupational care. Of the 894 patients with a baseline GAD-7 score ≥10, approximately 421 (47.1%) achieved reliable recovery.

Conclusions
This nationwide, free-of-charge, therapist-supported HUS Helsinki University Hospital–iCBT for GAD was effective in routine care, but further research must establish effectiveness against other treatments and optimize the design of iCBT for GAD for different patient groups and individual patients.
SINCRONIZACIÓN DE LOS CICLOS ECONÓMICOS DE MÉXICO Y ESTADOS UNIDOS: UN ENFOQUE DE CORRELACIÓN DINÁMICA
Authors: Albarrán Macías Dulce , Mejía Reyes Pablo , López Herrera Francisco 
Published: December 2021

<p>El objetivo de este documento es analizar la sincronización de los ciclos económicos de México y Estados Unidos durante el periodo 1981-2017 mediante la estimación de un coeficiente de correlación condicional dinámica que permite tener una estimación para cada periodo de tiempo. Los resultados, obtenidos a partir de distintos indicadores de producción y métodos de eliminación de tendencia, muestran un aumento desde la apertura de la economía mexicana a mediados de la década de 1980, especialmente durante las recesiones de 2001-2002 y 2008-2009 y también una serie de descensos aislados, explicados por diferencias en los ritmos de crecimiento de ambas economías, y una declinación sostenida en la fase pos-Gran Recesión que se explica principalmente por reducciones en el comercio exterior.</p><p> </p><p align="center">SYNCHRONIZATION OF THE BUSINESS CYCLES OF MEXICO AND THE UNITED STATES: A DYNAMIC CORRELATION APPROACH</p><p align="center"><strong>ABSTRACT</strong></p><p>The objective of this paper is to analyze the business cycle synchronization of Mexico and the United States over the period 1981-2017 by estimating a dynamic conditional correlation coefficient that allows us to have an estimate for each time period. The results, obtained from different production indicators and different de-trending methods, show an increase in this synchronization after the opening of the Mexican economy in the mid-eighties, especially during the common recessions of 2001-2002 and 2008-2009, and some isolated drops explained by differences in the growth rates of both economies as well as a sustained decline in the post-Great Recession phase resulting from the decline of international trade.</p>