bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the anti-fatigue activity of Schisandra chinensis polysaccharides
Authors: Si Zhou , Chen Haoxiang , Gu Chensi , Wang Tingting , Fan Ziluan 
Published: March 2023

Abstract
Schisandra chinensisis a medicative and food plant in China, wealthy during a variety of functional components and wealthy during pharmacological activities. The specific aim of this study was to evaluate the anti-fatigue properties of Schisandra chinensis polysaccharides (SCP). It was first structurally characterized using FTIR and UV, followed by weight-loaded swimming test and determination of several fatigue-related biochemical indices in mice after exhaustion to evaluate the anti-fatigue ability of SCP. The results showed that SCP is a protein-bound polysaccharide, and it significantly prolonged swimming time, increased liver glycogen and muscle glycogen content, decreased lactate (LA), Blood urea nitrogen (BUN), malondialdehyde (MDA) levels, and increased glutathione peroxidase (GSH-PX), superoxide dismutase (SOD) and catalase (CAT) activities. Pearson correlation analysis showed that there was a good correlation between the in vivo anti-fatigue effect and antioxidant activity of SCP. Therefore, SCP can be applied as a potential anti-fatigue nutritional supplement in functional foods for the relief of exercise-related fatigue.
Gait Recognition using Deep Residual Networks
Authors: Talal Entesar B. , Oraibi Zakariya A. , Wali Ali 
Published: March 2023

Abstract
In biometric authentication, the subject of distinguishing people by their gait is considered very important. However, it suffers from several challenges, including changing the angle of walking, wearing a coat, and wearing high shoes. The development of artificial intelligence, especially the subject of deep learning, has made a breakthrough in this field. In this research, a new technique was proposed that depends on the use of the conditional generative adversarial network in addition to the Resent networks in order to generate images. The new method relies on the side view angle because it generates various body characteristics. The framework can be divided into three parts: the first part is the process of extracting silhouettes, calculating the gait cycle, and then calculating gait energy images. The second part is generating images through conditional generative adversarial networks and discriminator models. The third part is the process of classifying images using recent networks. Experiments are performed on a public gait recognition dataset called the CASIA database to evaluate our framework. Results demonstrate that the proposed four-stage framework works better than cutting-edge methods, particularly in carrying-bag and wearing-coat sequences.
Evaluation of right adrenal vein cannulation by trans-catheter contrast-enhanced ultrasonography
Authors: Chen Lumin , Liu Yuyu , Qian Like , Zhou Lin , Liu Chenhan , Jiang Feng , Chen Renbiao 
Published: March 2023

Abstract
Background
Adrenal vein sampling (AVS), the gold standard for confirmation of primary aldosteronism (PA) subtype, is technically challenging. Here, we assessed the benefit of trans-catheter contrast-enhanced ultrasonography (CEUS) in right adrenal gland imaging and its potential to improve the right AVS success rates among inexperienced interventionalists.
Methods
AVS was performed on all included PA patients (n = 61; 39 men; mean age, 52 ± 8.81 years) by a single interventionalist (who had no AVS experience prior to the study) between January 2020 and July 2022. Thirty-five patients underwent trans-catheter CEUS-assisted digital subtraction angiography (DSA)-guided AVS (CEUS-AVS), and 26 patients underwent DSA-guided AVS (DSA-AVS). In the CEUS-AVS group, following right adrenal vein cannulation, selective trans-catheter CEUS was performed to validate cannulation accuracy. Fisher’s exact test, two-sided Student’s t tests, and the Mann–Whitney test were used for statistical analysis.
Results
The right AVS success rate was higher in the CEUS-AVS than in the DSA-AVS group (94.29% vs. 73.08%, P = 0.03), but the left and bilateral AVS success rates did not differ. The ultrasound imaging success rate of the right adrenal vein was 97.1%. Right AVS was unsuccessful in nine patients (two in the CEUS-AVS and seven in the DSA-AVS group). Operative times did not differ, but radiation exposure times were shorter in CEUS-AVS patients (8.4 [6.00, 12.3] vs. 15.37 [7.23, 24.75], P = 0.04). Surgery-related complications were similar between groups.
Conclusions
CEUS-AVS can be used to confirm right adrenal vein cannulation accuracy, help inexperienced interventionalists rapidly improve AVS success rates, and shorten radiation exposure.
An analysis of the gap in pupils' educational achievements in Cameroon: Do place of residence and school system matter?
Authors: MBOUAYILA Franck Mondesir TSASSA , KOUAMO Romuald NGUEMKAP , NKOA Bruno Emmanuel ONGO 
Published: March 2023

Abstract
The variation in academic achievement in reading and mathematics at the end of primary school between students according to their place of residence (urban/rural), school system of affiliation (public/private, Francophone subsystem/ Anglophone subsystem) motivates this paper. We use data from the 2014 PASEC survey. In a first step, the educational production functions are estimated separately for each group. The results show that, overall, at the end of the primary cycle, students do not benefit from real equality in terms of the quality of their learning in reading and mathematics. The highest proportion of explained gap exists between students in public schools and those in private schools (70%). The gender of the teacher contributes to reducing the gap between public and private while the size of the school reduces the gap between rural and urban areas.
JEL CLASSIFICATION: A21; A22; A23; I23; P36
A Novel Cancer-associated Fibroblasts-Related Gene Signature Based on Adjuvant Sorafenib Efficacy for Predicting Recurrence and Immunotherapy Response in Hepatocellular Carcinoma After Hepatectomy
Authors: Liang Run-Bin , Liao Zhi-Hong , Feng Jun , Yasen Aimaiti , Xie Xingming , Li Kai , Yuan Feng , Cai Yuhong , Dai Tian-Xing , Wang Guoying 
Published: March 2023

AbstractBackground Due to its high recurrence rate, hepatocellular carcinoma (HCC) has a poor prognosis after hepatectomy. An effective model to predict postoperative recurrence and identify high-risk patients is essential. Recent studies have revealed the important role of cancer-associated fibroblasts (CAFs) in predicting HCC prognosis. However, the prognostic value of CAFs-related gene signature in HCC recurrence remains unknown. According to the BIOSTORM study, adjuvant sorafenib efficacy data may help to predict the recurrence in HCC. Therefore, we aimed to create a novel CAFs-related gene signature based on adjuvant sorafenib efficacy to predict HCC recurrence. Methods The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to obtain the transcriptomic gene expression profiles and corresponding clinical data of HCC patients. The CAFs-related genes based on adjuvant sorafenib efficacy were identified using EPIC and weighted gene co-expression network analysis (WGCNA) algorithm. Univariate and the least absolute shrinkage and selection operator (LASSO) Cox regression analyses were used to establish a novel risk model. Univariate and multivariate COX analyses were used to identify independent prognostic factors for disease-free survival (DFS), and a nomogram was developed. The CIBERSORT and ESTIMATE algorithms were used to assess the tumor microenvironment components. Tumor immune dysfunction and exclusion (TIDE) score was used to predict immunotherapy response. Results A novel risk model was created using ten CAFs-related genes based on adjuvant sorafenib efficacy (DCLRE1C, DDX11, MAP4K2, SHCBP1, ADAM12, PAQR4, BEND3, ADAMTSL2, NUP93 and MPP2). Survival analyses revealed that high-risk patients had worse DFS, and the risk model was found as an independent prognostic factor for DFS in both the training and validation groups. A novel nomogram combined with pathologic stage and risk score status was developed. In the high-risk group, the stromal and immune cell content was found significantly lower while the tumor purity was significantly higher. In addition, immune checkpoints genes were highly expressed in the high-risk group and a higher risk score may predict a better response to immunotherapy. Conclusions The novel risk model comprised of ten CAFs-related genes based on adjuvant sorafenib efficacy may accurately predict recurrence and immunotherapy response in HCC patients after hepatectomy.
Retrotransposons Mobility in Eight Pure Lines of Laying Chickens
Authors: Bulbul Cihat Erdem , Bilgi Fatih , Mercan Levent , Marakli Sevgi 
Published: March 2023

Abstract
In this study, retrotransposons mobility in eight pure lines of the domestic chicken (Gallus gallus domesticus) was analysed using IRAP-PCR (Inter-retrotransposon amplification polymorphism Polymerase Chain Reaction) method. Polymorphism rates were detected as 0–78% in Copia-like, 0–73% in Nikita, 0–60% in SIRE, and 0–38 in Sukkula in Rhode Island Red, Barred Rock, Colombian Rock, Line-54, Black Line, Blue Line, Brown Line, and Maroon Line chickens. In silico analyses presented that Blue Line with Line-54 and Barred Rock with Colombian Rock are closely related regarding these four retrotransposons. These horizontally transferred plant-specific retrotransposons may affect changes in the pure-line chicken genome.
Assessing neighborhood characteristics and their association with maternal stress, depressive symptoms, and well-being in eight culturally diverse cities: A cross-sectional study
Authors: Campo-Tena Laura , Roman Gabriela Diana , Murray Aja Louise , Luong-Thanh Yen Bao , Marlow Marguerite , Foley Sarah , Anwer Yasmeen , Dadzie Awurabena Quayeba , Hernandez Sandra Stuart , Lindsay Carene , Randeny Shobhavi , Smith Joanne Andrea , Taut Diana , Eisner Manuel P 
Published: March 2023

Abstract
Understanding the impact of neighborhood characteristics is crucial given its multigenerational impact. However, there is low availability of validated instruments measuring neighborhood dimensions, particularly in pregnant women, and a lack of cross-country validation of neighborhood-related scales. In this study, we used data from the [masked] study to assess the conceptual and measurement equivalence of the community domains of neighborhood cohesion, intergenerational closure, and neighborhood and social disorder, testing for measurement invariance across eight low- and middle-income countries (LMICs). Following this, we examined patterns of associations with prenatal maternal stress, well-being, and depressive symptoms through the use of nomological networks. We found that the conceptual and measurement equivalence of the neighborhood domains were good across the eight LMICs, although some adjustments had to be made to improve the model fit in two of the sites. Moreover, our results suggest that, in general, higher levels of neighborhood and social disorder, and lower levels of cohesion and intergenerational closure in the community were similarly associated with adverse maternal outcomes across the included sites. The results of this study emphasize the importance of exploring the community context when assessing maternal well-being and supports the need to advocate for community-based interventions that promote safer physical and social environments within maternal programs.
Machine learning for Schrödinger’s cat paradox
Authors: Xin Lizhi , Xin Kevin , Xin Houwen 
Published: March 2023

Abstract
Unlike other quantum models that explain the Schrödinger’s cat paradox through rigorous mathematical structure, we propose a computational model to describe and explain Schrödinger’s cat paradox based on Darwin’s natural selection. Our proposed algorithmic model discovers laws of nature by only learning observed historical data (sequential measurement of observables) based on maximizing the observer’s expected value. There is no Schrödinger differential equation and quantum probability in our model; our model has an emphasis on machine learning, where the observer builds up his/her experience by being rewarded or punished for each decision he/she makes, and eventually leads to discovering the Born rule. We do not model with the usual wave function, but with quantum decision tree that simulates the observer’s decision process, a quantum decision tree can be constructed from eight basic quantum gates as well as three logic operations; each quantum decision tree includes a set of strategies; every time a decision is made, the observer chooses a strategy from the quantum decision tree’s strategy pool first, and then chooses an action (believe whether the cat is alive or dead)) based on the degree of belief which is evolved by genetic programming.
A Multicriteria Gis-based Approach for Mapping Biomass Agricultural Residues Availability for Bioenergy Facilities
Authors: Guido Rocío E. , Rodríguez C. Ramiro , Javí Verónica M. , Oviedo Oscar A. 
Published: March 2023

Abstract
This work presents a multicriteria methodology to evaluate a region’s bioenergetic potential and determine optimal location of biomass-based facilities from a technical and environmental perspective. The methodology involves a Geographic Information System incorporating the distribution of local biomass, statistics on crop harvests, highly detailed yield data, information on electrical networks, environmental factors, maps of the urban commons, and algorithms of classification, clustering, and optimization.
The methodology is applied to the Province of Córdoba, Argentina, evaluating soybean, corn, wheat, peanut, and sorghum. The availability of high-detail data of this region, has made it possible to analyze different bioenergy planning scenarios for the purpose of comparing the advantages and disadvantages of information accuracy.
The results show an estimated 1.81 million tn/year of sustainable and transportable agricultural waste in the 2017/18 season, largely from corn and soybean. The installation of 5 biofacilities in the sites with the greatest accumulation of agricultural harvest residues, each with a collection radius of 60 km, would create the capacity to convert 59% of these residues into bioenergy. The current local use of the residues is discussed in the context of maintaining soil preservation in the medium and long term. The methodology enables scenarios to be evaluated in terms of multiple technical, and environmental criteria and is extensible to other areas and biomass types.
Genetic basis for in vivo piperacillin-tazobactam resistance
Authors: Benítez Lydia Gálvez , Rosa José Manuel Ortiz De La , Rodríguez-Villodres Ángel , Casimiro-Soriguer Carlos , Molina-Panadero Irene , Álvarez-Marín Rocío , Bonnin Rémy , Naas Thierry , Pachón Jerónimo , Cisneros José Miguel , Lepe José , Smani Younes 
Published: March 2023

Abstract
Piperacillin-tazobactam resistance (P/T-R) is increasingly reported among Escherichia coli isolates. Although in vitro experiments have suggested that blaTEM gene plays a key role in the P/T-R acquisition, no clinical in vivo study has yet confirmed the role of blaTEM or other genes. Therefore, we aimed to identify the mechanisms underlying P/T-R by following up patients with E. coli intraabdominal infections (IAI) who experienced P/T treatment failure. We found a higher copy number of blaTEM gene in P/T-R isolates, generated by three different genetic events: (1)IS26-mediated duplication of the blaTEM gene, (2) generation of a small multicopy plasmid (ColE-like) carrying blaTEM, and (3) adaptive evolution via reduction of plasmid size, leading to a higher plasmid copy number. Moreover, two P/T-R strains showed reduced expression of OmpC. Thus, P/T treatment may lead to the development of resistance in patients with IAI by E. coli, through three blaTEM-dependent mechanisms and downregulation of OmpC.
importância das práticas integrativas e complementares para populações com acesso restrito aos serviços de saúde
Authors: Castro Marta Rocha de , Léda Paulo Henrique 
Published: March 2023

Desde 2006, no Brasil é oficial a inclusão do uso de Práticas Integrativas e Complementares no SUS, através da Política Nacional de Práticas Integrativas e Complementares da Saúde (PNPICs), aprovada pela portaria número 971 de 03/ 05/2006. Práticas Integrativas e Complementares são terapias que têm a sua origem em outras medicinas, como nas medicinas tradicionais e homeopatia. Essas práticas operam com tecnologias leves, normalmente de baixo custo financeiro e por isso também contribuem para redução das desigualdades inter- regionais de acesso aos serviços da medicina moderna existentes no Brasil. Os avanços tecnológicos da medicina moderna tornaram onerosos os seus serviços e aprofundando ainda mais os desafios no acesso por parte da população que reside em determinados locais do país, para essas pessoas muitas vezes a alternativa de cuidado se faz através das receitas e remédios caseiros, frutos dos conhecimentos transmitidos pelas famílias e comunidade em que vivem. O presente artigo, traz uma reflexão sobre a importância das PNICSs para o enfrentamento das desigualdades de acesso aos serviços médicos. Através de um breve relato de experiência sobre o curso de formadores de PICS organizado pela CONTAG (Confederação Nacional dos Trabalhadores na Agricultura) e da UFRB (Universidade Federal do Recôncavo Baiano) para agricultores e agricultoras familiares, e também de pesquisas que tratam do tema.
Nanotheranostics for Diagnosis and Treatment of Breast Cancer
Authors: Patel Parth , Kumar Kishore , Jain Vineet K. , Popli Harvinder , Yadav Awesh K. , Jain Keerti 
Published: March 2023

Abstract:
Recently, breast cancer has reached the highest incident rate amongst all the reported cancers, and
one of its variants, known as triple-negative breast cancer (TNBC), is deadlier compared to the other types of
breast cancer due to a lack of feasible diagnostic techniques. Advancements in nanotechnology have paved the
way to formulate several nanocarriers with the ability to deliver anticancer drugs effectively and selectively to
cancer cells with minimum side effects to non-cancerous cells. Nanotheranostics is a novel approach that can
be used in the diagnosis of disease along with therapeutic effects. Currently, various imaging agents, such as organic
dyes, radioactive agents, upconversion nanoparticles, various contrasting agents, quantum dots, etc., are
being explored for the imaging of internal organs or to examine drug distribution. Furthermore, ligand-targeted
nanocarriers, which have the potential to target cancer sites, are being used as advanced agents for cancer theranostic
applications, including the identification of various metastatic sites of the cancerous tumor. This review
article discusses the need for theranostic application in breast cancer with various imaging techniques, the latest
nanotheranostic carriers in breast cancer, and related safety and toxicity issues, as well as highlights the importance
of nanotheranostics in breast cancer, which could be helpful in deciphering questions related to nanotheranostic
systems.
A Narrative Review of Emerging Therapies for Hypertrophic Obstructive
Cardiomyopathy
Authors: da Silva  Menezes Junior Antonio , de Oliveira Ana Ligia Valeriano , Maia Thais Aratak , Botelho Silvia Marçal 
Published: March 2023

Abstract::
Hypertrophic obstructive cardiomyopathy is a hereditary condition that affects myocardial
contraction. In case of failure of pharmacological treatment, alternative approaches might be
used that include surgical myectomy, percutaneous transluminal septal myocardial ablation, and
radiofrequency ablation. In respect of long-term advantages, surgical septal myectomy remains the
therapy of choice for symptomatic hypertrophic obstructive cardiomyopathy. Alcohol septal ablation
has been considered an alternative to surgical myectomy, which confers the benefits of a
shorter hospital stay, less discomfort, and fewer complications. However, only expert operators
should perform it on carefully chosen patients. Further, radiofrequency septal ablation reduces the
left ventricular outflow tract gradient and improves the NYHA functional class of patients with hypertrophic
obstructive cardiomyopathy, despite complications like cardiac tamponade and atrioventricular
block. Further research with a larger sample size is required to compare the radiofrequency
approach with established invasive treatment methods for hypertrophic obstructive cardiomyopathy.
Septal myectomy has low morbidity and mortality rates, making it the preferred procedure;
however, the efficacy and morbidity remain debatable. Advances in invasive techniques, including
percutaneous septal radiofrequency ablation and transcatheter myotomy, have provided alternative
approaches for reducing left ventricular outflow tract (LVOT) obstruction in patients who are not
candidates for traditional surgical septal myectomy. Candidates for alcohol and radiofrequency
septal ablation include patients with symptomatic hypertrophic obstructive cardiomyopathy, older
adults, and those with multiple comorbidities.
Concept of Perinatal Well-Being
Authors: Besen Meltem Aydin 
Published: March 2023

Abstract:
Pregnancy, childbirth, and becoming a parent cause different physical, mental, and social
changes, so it is a critical life period for women. The well-being of the perinatal period, in which
this complex and unique process is experienced, contains different characteristics from the general
population. Therefore, the importance of conceptualizing the concept of “perinatal well-being” and
defining the relevant dimensions has recently gained attention. The potential to develop a tool to
measure the concept, along with the conceptualization process adequately, makes this subject remarkable.
Recent Advances in the Green Reduction of Graphene Oxide and its Potential Applications
Authors: Soni Jay , Teli Pankaj , Agarwal Shikha 
Published: March 2023

Abstract:
Graphene has drawn significant attention due to its commercial usage in various
fields. Several methods have been developed for the synthesis of graphene sheets but most of
them involve only lab-scale production and are expensive too. So, the production of high-grade
graphene on a large scale by cost-efficient and eco-friendly methods is still a challenge for the
scientific community. The reduction of graphene oxide to produce high-quality graphene is considered
the most eco-efficient and auspicious approach. Various pathways for the reduction of
graphene oxide involving chemical reduction, thermal annealing, microwave and photoreduction,
solvothermal, electrochemical, and green reduction have been explored. Several of
these methods use harmful and toxic reagents that cause adverse effects on human health and the
environment. The reduction of graphene oxide by plant extracts is simple, easily accessible,
environment-friendly, sustainable, renewable, and economical. This review highlights different
approaches for the synthesis of reduced graphene oxide with the main focus on green reduction
using plant extracts. Moreover, several applications of reduced graphene oxide in various fields
have also been elaborated. The main aim of this review is to provide deep insights for current
and future researchers related to the greener methods for the synthesis of reduced graphene oxide
along with its potential applications.