bluuebunny/crossref_metadata_2025_split huggingface dataset:
NAPSB as a Predictive Marker for Prognosis and Therapy Associated with an Immuno-Hot Tumor Microenvironment in Hepatocellular Carcinoma
Authors: Zhao Qiu , Ning Yu-Mei , Lin Kun , Liu Xiao-Ping , Ding Yang , Jiang Xiang , Zhang Zhang , Xuan Yu-Ting , Liu Lan , Wang Fan , Wang Hai-Zhou , Fang Jun 
Published: March 2022

Abstract
Background: Napsin B Aspartic Peptidase, Pseudogene (NAPSB) was associated with CD4+ T cell infiltration in pancreatic ductal adenocarcinoma. But the biological role of NAPSB in hepatocellular carcinoma (HCC) remains to be determined.Methods: The expression of NAPSB in pan-cancer and HCC as well as its clinicopathological association were analyzed using data from several public datasets. qRT-PCR was used to verify the relative expression of NAPSB in HCC using Zhongnan cohort. Kaplan-Meier analyses, univariate and multivariate Cox regression were conducted to determine the predictive value of NAPSB on HCC prognosis. Then enrichment analyses were performed to identify the possible biological functions of NAPSB. Subsequently, the immunological characteristics of NAPSB in the HCC tumor microenvironment (TME) were demonstrated comprehensively. The role of NAPSB in predicting hot tumors and its impact on immunotherapy and chemotherapy responses was also analyzed.Results: NAPSB was downregulated in HCC and high NAPSB expression showed an improved survival outcome. Enrichment analyses showed that NAPSB was related to immune activation. NAPSB was positively correlated with immunomodulators, tumor-infiltrating immune cells (TIICs), T cell inflamed score, and cancer immunity cycles and highly expressed in immuno-hot tumors. High expression of NAPSB was sensitive to immunotherapy and chemotherapy, possibly due to its association with pyroptosis, apoptosis and necrosis (PANoptosis).Conclusions: NAPSB was correlated with an immuno-hot and inflamed TME and tumor cell death. It can be utilized as a promising predictive marker for prognosis and therapy in HCC.
Association Between the SIRT1 and SIRT3 Levels and Gene Polymorphisms with Infertility in War Zones of Kermanshah Province, Iran .
Authors: nasiri abolfazl , Hosseini Sayed Mostafa , Rashidi Mohsen , Vaisi-Raygani asad , Mozafari Hadi 
Published: March 2022

Abstract
The authors have requested that this preprint be removed from Research Square.
Machine Learning the Metastable Phase Diagram of Materials
Authors: Sriniva Srilok , Batra Rohit , Luo Duan , Loeffler Troy , Manna Sukriti , Chan Henry , Yang Liuxiang , Yang Wenge , Wen Jianguo , Darancet Pierre , Sankaranarayanan Subramanian 
Published: March 2022

Abstract
A central feature of materials synthesis is the concept of phase diagrams, which provide information on the phases of the material at any given thermodynamic condition (i.e., state variables such as pressure, temperature and composition). Conventional phase diagram generation involves experimentation to provide an initial estimate of the set of thermodynamically accessible phases and their boundaries, followed by use of phenomenological models to interpolate between the available experimental data points and extrapolate to experimentally inaccessible regions. Such an approach, combined with high throughput first-principles calculations and data-mining techniques, has led to exhaustive thermodynamic databases (e.g. compatible with the CALPHAD method), albeit focused on the reduced set of phases observed at distinct thermodynamic equilibria. In contrast, materials during their synthesis, operation, or processing, may not reach their thermodynamic equilibrium state but, instead, remain trapped in a local (metastable) free energy minimum, which may exhibit desirable properties. A phase diagram that maps these metastable phases and their thermodynamic behavior is highly desirable but currently lacking, due to the vast configurational landscape. Here, we introduce an automated workflow that integrates first-principles physics and atomistic simulations with machine learning (ML), and high-performance computing to allow rapid exploration of the metastable phases of a given elemental composition and construct "metastable" phase diagrams for materials far-from-equilibrium. Using carbon, a prototypical system with a large number of metastable phases without parent in equilibrium, we demonstrate automated metastable phase diagram construction to map hundreds of metastable states ranging from near equilibrium to those far-from-equilibrium (400 meV/atom). Moreover, we incorporate the free energy calculations into a neural-network-based learning of the equations of state that allows for efficient construction of metastable phase diagrams. We use the metastable phase diagram and identify domains of relative stability and synthesizability of metastable materials. High temperature high pressure experiments using a diamond anvil cell on graphite sample coupled with high-resolution transmission electron microscopy (HRTEM) confirm our metastable phase predictions. In particular, we identify the previously ambiguous structure of n-diamond as a cubic-analog of diaphite-like lonsdaelite phase. The workflow presented here is general and broadly applicable to other chemical systems.
Standardization of the assessment process within telerehabilitation in chronic diseases: A scoping meta-review
Authors: Chapel Blandine , Alexandre François , Heraud Nelly , Ologeanu-Taddei Roxana , Cases Anne-Sophie , Bughin François , Hayot Maurice 
Published: March 2022

Abstract
Background Telerehabilitation (TR) interventions are receiving increasing attention. They have been evaluated in various scientific areas through systematic reviews. However, there is a lack of data on how to standardize assessment and report on their domains to guide researchers across studies and bring together the best evidence to assess TR for chronic diseases.Aims and Objectives The aim of this study was to identify domains of assessment in TR and to qualitatively and quantitatively analyze how and when they are examined to gain an overview of assessment in chronic disease.Methods A scoping meta-review was carried out on 9 databases and gray literature from 2009 to 2019. The keyword search strategy was based on "telerehabilitation", “evaluation", “chronic disease" and their synonyms. All articles were subjected to qualitative analysis using the Health Technology Assessment (HTA) Core Model prior to further analysis and narrative synthesis.Results Among the 7412 identified articles, 80 studies met the inclusion criteria. Regarding the domains of assessment, the most frequently occurring were “social aspect” (n = 63, 79%) (e.g., effects on behavioral changes) and “clinical efficacy” (n = 53, 66%), and the least frequently occurring was “safety aspects” (n= 2, 3%). We also identified the phases of TR in which the assessment was conducted and found that it most commonly occurred in the pilot study and randomized trial phases and least commonly occurred in the design, pretest, and post-implementation phases.Conclusions Through the HTA model, this scoping meta-review highlighted 10 assessment domains which have not been studied with the same degree of interest in the recent literature. We showed that each of these assessment domains could appear at different phases of TR development and proposed a new cross-disciplinary and comprehensive method for assessing TR interventions.. Future studies will benefit from approaches that leverage the best evidence regarding the assessment of TR, and it will be interesting to extend this assessment framework to other chronic diseases.
NERS_HEAD: An New Hybrid Evolutionary Algorithm for Solving Graph Coloring Problem
Authors: Guo Ping , Guo Bin 
Published: March 2022

Abstract
The graph coloring problem is an NP-hard problem. Currently, the most effective method to solve the problem is the hybrid algorithm. This paper proposes a hybrid evolutionary algorithm NERS_HEAD with a new elite replacement strategy. In NERS_HEAD, a method to detect the local optimal state is proposed so that the evolutionary process can jump out of the local optimal by introducing diversity on time. A new elite structure and replacement strategy are designed to increase the diversity of the evolutionary population so that the evolution process can not only converge quickly but also jump out of the local optimum in time. Experiments based on 34 instances of the DIMACS benchmark show that compared with the current excellent graph coloring algorithm, NERS_HEAD can reduce the evolutionary generation by an average of 28.3% and the calculation time by 22.11%. Especially in the instance dsjc500.1, Nere_HEAD can reduce 56% of evolution generations and 40% of computing time; On the r1000.1c instance, it can reduce the evolution generations by 82.30% and the calculation time by 73.45%.
Personalizing the control law of an upper-limb exoskeleton using EMG signal
Authors: Treussart Benjamin , Caron Remi , Geffard Franck , Marin Frederic , Vignais Nicolas 
Published: March 2022

Abstract
Implementing an intuitive control law for an upper-limb exoskeleton dedicated to force augmentation is a challenging issue in the field of human-robot collaboration. The goal of this study is to adapt an EMG-based control system to a user based on individual characteristics. To this aim, a method has been designed to tune the parameters of control using objective criteria, improving user's feedback. The user's response time is used as an objective value to adapt the gain of the controller. The proposed approach was tested on 10 participants during a lifting task. Two different conditions have been used to control the exoskeleton: with a generic gain and with a personalized gain. EMG signals was captured on five muscles to evaluate the efficiency of the conditions and the user's adaptation. Results showed a statistically significant reduction of mean muscle activity of the deltoid between the beginning and the end of each situation (28.6 ± 13.5% to 17.2 ± 7.3% of Relative Maximal Contraction for the generic gain and from 24.9 ± 8.5% to 18.0 ± 6.8% of Relative Maximal Contraction for the personalized gain). When focusing on the first assisted movements, the personalized gain induced a mean activity of the deltoid significantly lower (29.0 ± 8.0% of Relative Maximal Contraction and 37.4 ± 9.5% of Relative Maximal Contraction, respectively). Subjective evaluation showed that the system with a personalised gain was perceived as more intuitive, and required less concentration when compared to the system with a generic gain.
Clinical and microbiological rationale for the use of a herbal preparation in children with rhinopharyngitis
Authors: Chelpachenko O. E. , Danilova E. I. , Chainikova I. N. , Bekpergenova A. V. , Bondarenko T. A. , Sumenko V. V. 
Published: March 2022

Introduction. The work includes the results of clinical and microbiological studies that determine the feasibility of using the herbal preparation EPS® 7630 for the treatment of rhinopharyngitis (RF) in children. The introduction provides a brief review of the literature data on the role of the microbial factor and the important contribution of dysbiotic disorders of the URT microflora in the development of the Russian Federation. The porpose of persistent properties of opportunistic microorganisms (UPM) is outlined: the ability to biofilm formation – BPO and inactivation of lysozyme – ALA as dysbiotic markers of RF, which create conditions for relapses and chronicity of the disease, reduce the effectiveness of antimicrobial therapy. Goal.The aim of the work was the clinical and microbiological substantiation of the effectiveness of using EPS® 7630 in the treatment of RF in children.Materials and methods. The study involved 79 children aged 3 to 15 years. 1st group – 43 children who received treatment, including, along with traditional treatment, the drug Umckalor EPS® 7630, 2nd group (comparison) – 36 children who did not receive the tested drug. Microbiological examination was carried out by taking swabs from the pharynx and nose before and after treatment; BPO and ALA were determined according to the methods of Bukharin O.V. et al. (1999).Results. Conducted clinical studies have established a reduction in the timing of relief of the main symptoms of RF (cough, rhinitis, sore throat, fever) in children treated with EPS® 7630 compared to the comparison group. Microbiological studies of microorganisms isolated from the nasopharynx of children with RF revealed the ability of EPS® 7630 to suppress bacterial persistence factors (BPO and ALA) by 60% or more from the initial level.Conclusions. The data obtained reveal one of the mechanisms of the antimicrobial action of EPS® 7630, which consists in suppressing the persistent potential of UPM and regulating the effect of the drug on the microbiocenosis of the URT. The clinical and microbiological efficacy of using EPS® 7630 in the treatment of RF in children has been proven.
Spatiotemporal characteristics analysis of water saving potential and economic effectiveness of rainwater harvesting system in China
Authors: Shiguang Chen , Yu Zhang , Xinkuang Lin , Xiaochun Lu 
Published: March 2022

Abstract
The financial viability of a rainwater harvesting (RWH) system is highly determined by regional conditions such as rainfall pattern and water prices. Successful implementation of rainwater harvesting systems depends largely on the identiﬁcation of suitable sites. This paper presents the water saving potential and economic effectiveness of rainwater harvesting systems across eight major cities in China, using a daily water balance model. Results show six to 81 days (or 1.6% to 22.2%) of dependability can be achieved by using a rainwater harvesting system over these cities. The annual water saving efficiency ranges from 10% to 37% and the benefit–cost ratio varies between 0.45 and 1.20 across the studied cities. South China achieves the maximum annual water saving and the highest benefit–cost ratio, while southeast China has the most regular profile of precipitation use. Northwest China was found to be the region with the worst performance, both in yearly water saving and in regularity of rainwater use on a yearly scale. It was also found that the RWH system is not financially feasible in the northeast, southwest and central plains due to the benefit–cost ratios being smaller than 1.0.
The hydraulic investigation of inflatable weirs
Authors: Sarvarinezhad S. Behnam , Bina Mahmoud , Afaridegan Ehsan , Parsaie Abbas , Avazpour Fatemeh 
Published: March 2022

Abstract
In this research, the models of Inflatable weirs with internal pressures of 0.5 and 1.4 at three heights of 0.15, 0.2 and 0.25 m were constructed. The deflectors were used in two geometric sections, including rectangular and triangular shapes, and they were installed at angles of 30, 45, and 60 degrees downstream of the weir body. The results showed that the value of the Cd changes between 0.28 and 0.35 while the range of the ratio of the upstream flow head on the crest to the radius of the downstream side of the inflatable weir varies between 0.2 and 1.5. The flow by crossing over the inflatable weir and colliding with the surface of the downstream stilling basin loses its energy by about 10–85%. The relative horizontal distance of the projectile-jet from the crest varies between 1.6 and 2.8. The effect of the deflector on the Cd is negligible due to being located in the supercritical part of the weir. Examination of the obtained results declared that the deflector has a considerable effect on energy dissipation.
Role of Artificial Intelligence in Cancer Diagnosis and Drug Development
Authors: Paliwal Deepika , Srivastava Shubham 
Published: March 2022

Abstract:
Cancer is a vast form of the disease that can begin in almost any organ or tissue of the
body when abnormal cells grow uncontrollably and attack nearby organs. The traditional approaches
to cancer diagnosis and drug development have certain limitations, and the outcomes
achieved through the traditional approaches applied to cancer diagnosis and drug development are
not quite promising. Artificial intelligence is not new to the medical research sector. AI-based algorithms
hold great potential for identifying mutations and abnormal cell division at the initial
stage of cancer. Advanced researchers are also focusing on bringing AI to clinics in a safe and ethical
manner. Early cancer detection saves lives and is critical in the fight against the disease. As a
result, as part of earlier detection, computational approaches such as artificial intelligence have
played a significant role in cancer diagnosis and drug development.
An Immune-Related Gene Signature Predicting Prognosis and Immunotherapy
Response in Hepatocellular Carcinoma
Authors: Ren Zhenggang , Yin Xin , Zhang Feng , Cai Jialiang , Hu Keshu , Liu Wenfeng , Lu Shenxin , Tang Bei , Li Miao , Wu Weizhong 
Published: March 2022

Background:
Hepatocellular carcinoma (HCC) is inflammation-associated cancer
with high incidence and poor prognosis. In the last decade, immunotherapy has become an important
strategy for managing HCC.

Objective:
This study aimed to establish an immune-related gene signature for predicting prognosis
and immunotherapy response in HCC.

Methods:
We identified immune-related differentially expressed genes (IRDEGs) based on The
Cancer Genome Atlas (TCGA) database and the Immunology Database and Analysis Portal (ImmPort)
database. The weighted gene co-expression network analysis (WGCNA) and Cox proportional
hazard model were utilized to determine hub immune-related genes (IRGs). The TIDE tool
and R package pRRophetic were used to assess the correlation between the immune-related gene
signature and the clinical responses to immunotherapy and chemotherapy.

Results:
By using WGCNA combined with Cox proportional hazard model, PRC1, TOP2A, TPX2,
and ANLN were identified as hub IRGs. The prognostic value of the newly developed gene signature
(IRGPI) was demonstrated in both the TCGA database and the Gene Expression Omnibus
(GEO) database. The TIDE tool showed that the high- and low-IRGPI groups presented significantly
different tumor immune microenvironment and immunotherapy responses. Furthermore, the
high-IRGPI group also had significantly lower chemoresistance to cisplatin than the low-IRGPI
group.

Conclusions:
The IRGPI is a tool for predicting prognosis as well as responsiveness to immunotherapy
and chemotherapy in HCC.
Prospective Analysis of Proteins Carried in Extracellular Vesicles with
Clinical Outcome in Hepatocellular Carcinoma
Authors: Tang Donge , Chen Wenbiao , Zhang Feng , Xu Huixuan , Hou Xianliang 
Published: March 2022

Background:
Extracellular vehicles (EVs) contain different proteins that relay information
between tumor cells, thus promoting tumorigenesis. Therefore, EVs can serve as an ideal marker for
tumor pathogenesis and clinical application.

Objective:
Here, we characterised EV-specific proteins in hepatocellular carcinoma (HCC) samples
and established their potential protein-protein interaction (PPI) networks.

Materials and Methods:
We used multi-dimensional bioinformatics methods to mine a network module
to use as a prognostic signature and validated the model’s prediction using additional datasets. The
relationship between the prognostic model and tumor immune cells or the tumor microenvironment
status was also examined.

Results:
1134 proteins from 316 HCC samples were mapped to the exoRBase database. HCC-specific
EVs specifically expressed a total of 437 proteins. The PPI network revealed 321 proteins and 938 interaction
pathways, which were mined to identify a three network module (3NM) with significant
prognostic prediction ability. Validation of the 3NM in two more datasets demonstrated that the model
outperformed the other signatures in prognostic prediction ability. Functional analysis revealed that
the network proteins were involved in various tumor-related pathways. Additionally, these findings
demonstrated a favorable association between the 3NM signature and macrophages, dendritic, and
mast cells. Besides, the 3NM revealed the tumor microenvironment status, including hypoxia and inflammation.

Conclusion:
These findings demonstrate that the 3NM signature reliably predicts HCC pathogenesis.
Therefore, the model may be used as an effective prognostic biomarker in managing patients with
HCC.
AAV9-coGLB1 Improves Lysosomal Storage and Rescues Central Nervous
System Inflammation in a Mutant Mouse Model of GM1 Gangliosidosis
Authors: Wu Xiaobing , Huang Yonglan , Liu Sichi , Ma Wenhao , Feng Yuyu , Zhang Yan , Jia Xuefang , Tang Chengfang , Tang Fang 
Published: March 2022

Background:
GM1 gangliosidosis (GM1) is an autosomal recessive disorder characterized
by the deficiency of beta-galactosidase (β-gal), a ubiquitous lysosomal enzyme that catalyzes the hydrolysis
of GM1 ganglioside.

Objective:
The study aims to explore the application of the AAV9-coGLB1 for effective treatment in a
GM1 gangliosidosis mutant mouse model.

Methods:
We designed a novel adeno-associated virus 9 (AAV9) vector expressing β-gal (AAV9-
coGLB1) to treat GM1 gangliosidosis. The vector, injected via the caudal vein at 4 weeks of age,
drove the widespread and sustained expression of β-gal for up to 32 weeks in the Glb1G455R/G455R mutant
mice (GM1 mice).

Results:
The increased levels of β-gal reduced the pathological damage occurring in GM1 mice. Histological
analyses showed that myelin deficits and neuron-specific pathology were reduced in the cerebral
cortex region of AAV9-coGLB1-treated mice. Immunohistochemical staining showed that the
accumulation of GM1 ganglioside was also reduced after gene therapy. The reduction of the storage in
these regions was accompanied by a decrease in activated microglia. In addition, AAV9 treatment reversed
the blockade of autophagic flux in GM1 mice.

Conclusion:
These results show that AAV9-coGLB1 reduces the pathological signs of GM1 gangliosidosis
in a mouse model.
Evaluation of Extended-release of Piroxicam-loaded Pectin-zein Hydrogel
Microspheres: In vitro, Ex vivo, and In vivo Studies
Authors: Bobokalonov Jamshed , Muhidinov Zayniddin , Nasriddinov Abubakr , Jomnurodov Abduvaly , Khojaeva Farangis , Komilova Gulnora , Yusufi Salomudin , Liu LinShu 
Published: March 2022

Objective:
This study evaluated drug delivery systems based on Pectin (P) and Zein (Z) hydrogel
microspheres. Piroxicam (Px) loaded P/Z hydrogel microspheres (P/Z HM) were developed, and
their extended-release pharmacokinetic properties were evaluated.

Methods:
Experiments were executed under three different conditions: in vitro, ex vivo, and in vivo.
Then, the in vitro-in vivo correlations (IVIVC) and ex vivo-in vivo correlations (EVIVC) were examined.

Results:
Analysis of drug release mechanisms were evaluated by fitting the in vitro data into the Ritger-
Peppas equation, showing the contribution of both polymers’ relaxation and drug diffusion from the
hydrogel microspheres. The fraction absorbed in vivo was determined by the deconvolution of plasma
concentration data using the Loo-Riegelman method. After oral single-dose administration of the two
formulations, their basic independent model parameters were calculated.

Conclusion:
P/Z HM had different drug release behaviors in in vitro and in vivo conditions. However, the ex vivo and in vivo characteristics were similar (R² = 0.99). This seemed reasonable to use the ex vivo method to predict the in vivo drug absorption behavior during the polymeric drug delivery system developmental studies. The P/Z HM formulation maintained the drug dose at the colon site for a long duration and could be applied for delivery of active pharmaceutical and food ingredients to the colon site.