bluuebunny/crossref_metadata_2025_split huggingface dataset:
An adaptive differential evolution algorithm driven by multiple probabilistic mutation strategies for influence maximization in social networks
Authors: Tang Jianxin , Du Qian , Qu Jitao , Li Yihui , Han Lihong 
Published: February 2024

Abstract

The influence maximization is regarded as one of the most pivotal concerns in social network analysis especially in the inevitable trend that more and more individuals are being involved into the global networked society. The purpose of the problem is to identify a set of influential nodes from the social network and activate them to maximize the expected number of influenced nodes at the end of the spreading process. Although some meta-heuristics based on swarm intelligence or biological evolution have been proposed to tackle this intractable problem, the exploration and exploitation operations need further investigated according to the iterative information of the evolutionary process. In this paper, an adaptive differential evolution algorithm driven by multiple probabilistic mutation strategies is proposed for the influence maximization problem. To provide more adequate seed set by utilizing the differential evolution, the mutation in the framework, consisted by three policies, namely particle swarm mutation strategy, differential mutation strategy, and perturbation strategy, is implied based on different probabilistic models. An adaptive local search strategy is presented to improve the local optimum based on a potential substitution pool consisting of structural hole nodes. Experimental results on six real-world social networks demonstrate that the proposed algorithm shows competitive performance in terms of both efficacy and efficiency when compared to the state-of-the-art algorithms.
Superstructure model for the simultaneous design and optimization of the PVSA process cycle
Authors: Pai Kasturi Nagesh , Haghpanah Reza , Edsall William 
Published: February 2024

Abstract

The performance of any adsorptive separation process depends on two factors: the adsorbent media and the PVSA process cycle. The pool of adsorbents for any separation has grown exponentially over the past decade with the advent of metal-organic chemistry. There are potentially multiple PVSA process cycle pathways that can be chosen for the gas separation. To achieve the full potential of a given adsorbent, the operating conditions of the process cycle need to be optimized; this is computationally challenging. Traditionally, the performance of a small set of user-defined PVSA process cycles is chosen for optimization. In this work, we present a superstructure model to simultaneously design and optimize the PVSA process cycle. To highlight the potential of such an approach, we present different case studies related to separating CO2 from a mixture of CO2 and N2 as it is a well-studied and currently relevant separation system. The superstructure model presented in the work covers over two dozen possible PVSA cycle configurations. The framework is also shown to be scalable for adsorbent evaluation by using novel optimization strategies to effectively search the large input search region.
Definition of mechanisms of viral protein multifunctionality reveals key roles of ‘conformer diversity’ and RNA interaction in forming host interfaces
Authors: Moseley Gregory , Rawlinson Stephen , Sethi Ashish , Chakraborty Shatabdi , Rozario Ashley , Zhao Tianyue , David Cassandra , Oksayan Sibil , Jans David , Ang Ching Seng , Lu Zhi Hui , Yan Fei , Williamson Nicholas , Bell Toby , Gooley Paul 
Published: February 2024

Abstract
Multifunctionality of viral genes is critical for processes in replication and modulation of infected cells. P gene of rabies virus generates the full-length protein, P1, and the truncated isoform, P3, which gains unique phenotypes lacking in P1, including interactions with multiple cellular membrane-less organelles (MLOs, liquid-liquid phase-separated (LLPS) structures), important to immune evasion. The gain-of-function by P3 proposes that multifunctionality of P isoforms is not merely due to their complement of independent modules, but is regulated by complex interactions of globular and intrinsically disordered regions (IDRs). However, the molecular basis of gain-of-function is unknown. Here we report biophysical and cellular analyses of P1 and P3, identifying a network of intra-protomer interactions involving the globular C-terminal domain and N-terminal IDRs, which differ between the isoforms. Mutagenesis of P3 identified substitutions causing gain- and loss-of-function for MLO interactions, associated with altered interactions of N- and C-terminal regions. Despite reduced MLO association of P1 and P3-loss-of-function mutants compared with wild-type P3, they retain capacity for LLPS in vitro, suggesting that specific inter-molecular interactions enable MLO targeting. P3 and P1 interact similarly with multiple MLO-associated proteins, but RNA binding is only observed for P3, and is enhanced or diminished by gain- and loss-of-function mutations, respectively. These data indicate that differences in interfaces formed between distant regions in P protein isoforms regulate protein-RNA interactions as a principal mechanism in the acquisition of unique functions/MLO interactions by P3, identifying a novel strategy in viral protein multifunctionality.
Distance-related functional reorganization predicts motor outcome in stroke patients
Authors: Hong Wenjun , Liu Zaixing , Zhang Xin , Li Ming , Yu Zhixuan , Wang Yuxin , Wang Minmin , Wu Yanan , Fang Shengjie , Yang Bo , Xu Rong , Zhao Zhiyong 
Published: February 2024

Abstract

Background Analyzing distance-dependent functional connectivity density (FCD) yield valuable insights into patterns of brain activity. Nevertheless, whether alterations of FCD in chronic stroke patients are associated with the anatomical distance between brain regions remains unclear. This study aimed to explore the distance-related functional reorganization in chronic stroke patients following left and right hemisphere subcortical lesions, and its relationship with clinical assessments.Methods In this study, we used resting-state fMRI to calculate distance-dependent (i.e., short- and long-range) FCD in 25 left subcortical stroke (LSS) patients, 22 right subcortical stroke (RSS) patients, and 39 well-matched healthy controls (HCs). Then, we compared FCD differences among the three groups and assessed the correlation between FCD alterations and paralyzed motor function using linear regression analysis.Results Our findings demonstrated that the left inferior frontal gyrus (IFG) displayed distance-independent FCD changes, while the bilateral supplementary motor area (SMA), cerebellum, and left middle occipital gyrus exhibited distance-dependent FCD alterations in two patient subgroups compared with HCs. Furthermore, we observed a positive correlation between increased FCD in the bilateral SMA and the motor function of lower limbs, and a negative correlation between increased FCD in the left IFG and the motor function of both upper and lower limbs across all stroke patients. These associations were validated by using a longitudinal dataset.Conclusions The FCD in the cerebral and cerebellar cortices shows distance-related changes in chronic stroke patients with motor dysfunction, which may serve as potential biomarkers for predicting motor outcomes after stroke. These findings enhance our comprehension of the neurobiological mechanisms driving chronic stroke.Trial registration All data for the present study were obtained from a research trial registered with the ClinicalTrials.gov database (NCT05648552, registered 05 December 2022).
Spatial adjustment in field trend for genotype by environment data analysis of Ethiopian malting barley breeding program
Authors: Dinsa Girma F. , Tadese Diriba 
Published: February 2024

Abstract
Food security is the top priority in agricultural policy agendas in Ethiopia, with the goal of feeding the second largest human population on the African continent. To realise this, employing efficient breeding methodologies for selecting stable and high-yielding crop varieties, thereby reducing the confounding effects of the environment and genotype-by-environment interactions for the ultimate deployment of robust new varieties, is a key component of food self-sufficiency. Here, we showed that the application of spatial adjustment to the MET data of a malting barley breeding program enhances selection efficiency and hence contributes to the effective selection of high-yielding varieties. The primary goal of plant breeding programs is to select genotypes for performance across the range of target populations and environments (TPEs) and to conduct multi-environment trials (METs) to aid in genotype selection across targeted locations and seasons. Understanding the pattern of response across these environments is an integral part of superior genotype selection in breeding programs. A set of MET data from the national variety trial series grown across four locations was obtained from the Ethiopian Malting Barley Breeding Program, spanning stages ranging from early generation to the national variety trial. The trials were analysed in a linear mixed model framework fitting a one-stage model for MET data, including a correlated spatial process for field trends within each trial and combining a factor analytic matrix model for genotype-by-environment interaction effects. The genetic correlations from this MET analysis were subsequently used to cluster the four locations based on different response patterns across environments. The stability of genotype performance across these environmental clusters indicated broad and specific adaptation to specific environments. Our analysis revealed that the Holker genotype had a higher average yield than did the other varieties, ranking first in half of the test locations.
Advancing Real-world Image Dehazing: A Comprehensive Dataset and Evaluation Metrics
Authors: Celona Luigi , Piccoli Flavio 
Published: February 2024

Abstract
The majority of dehazing techniques in the literature have been designed to learn from supervised datasets, which typically comprise pairs of images, one with haze and one without haze, to facilitate the learning process. These datasets often contain synthesized hazy images, either created by leveraging the theoretical model of haze creation, or by exploiting professional haze generation machines.
However, the lack of realism given by these generative processes has led to a limited capacity of dehazing techniques to effectively generalize on real-world images. Recently, a collection of real-world hazy image datasets has been collected, but with a reduced cardinality.
This study aims to address the aforementioned issues and introduce the Unpaired Real-world Hazy Image Dataset (URHID). It is a large-scale benchmark dataset containing 13,329 real-world hazy images scraped from the Internet. In addition, a total of eight state-of-the-art dehazing methods were chosen to assess the performance of URHID.
Given the lack of no-reference measures in the existing literature for evaluating the quality of unpaired dehazed images, this study aims to address this gap by proposing the Multi-Aspect Dehazed Image Quality Assessment (MADIQA) dataset. A collection of dehazed images annotated in terms of multiple quality-related aspects as well as overall quality. Furthermore, we develop multiple No-Reference Dehazed Image Quality Assessment (NR-DIQA) metrics. The proposed URHID and MADIQA datasets, as well as the proposed DIQA metrics are publicly available for research purposes at: https://celuigi.github.io/arid.github.io/.
O uso da modelização didática Situação Formativa na análise de Documentos Normativos em um projeto-piloto de Formação para professores não licenciados
Authors: Machado Adriano Silveira , Silva Maria Goretti de Vasconcelos 
Published: February 2024

Esta investigação procurou estudar o processo de formação em serviço à distância para professores não licenciados e que atuam nas escolas de ensino médio profissionalizantes. Seu objetivo consistiu em identificar se a formação fornecida, com seus procedimentos e ações planejados forneceu ou não, elementos para a construção de uma práxis pedagógica baseada na intervenção e no trabalho docente na Educação Profissional, Científica e Tecnológica (EPCT). Empregou-se a modelização didática Situação Formativa (SF) na análise de Documentos Normativos (DN) e a análise de conteúdo categorial temática, haja visto o emprego desta metodologia estar em consonância com o objetivo, com a problemática investigativa, com os procedimentos de coleta de dados, viabilizando que os mesmos ficassem perceptíveis e comensuráveis para o investigador, para pôr fim, torná-los passíveis de inferências. O estudo do problema permitiu apontar a eficácia e a relevância deste tipo de formação no desenvolvimento profissional, em ordem a achar caminhos e práticas pedagógicas que ancoraram condutas, estratégias e saberes pedagógicos favoráveis à formação profissional docente.
Contraception after Induced Abortion
Authors: Radeva Svetlana 
Published: February 2024

A review of the current literature on contraception in induced abortion. An in – depth analysis of the guidelines of leading international and national organizations for contraceptives after induced abortion-surgical and medicated during the I-st and II-nd trimester was conducted. An analysis of good practices is made in order to assess the risks and benefits of the application of modern means of prophylaxis after artificial abortion, the use of appropriate contraceptives and thus to improve the individual obstetric-gynecological practice. All activities are aimed at preserving women's reproductive ability and reducing post-abortion complications. Methods: review of available literature from the last 10 years.
Sustaining Patency of Peripherally Inserted Venous Catheter (PIVC) among
Patients in Continuous Intra Venous Therapy
Authors: Das Renulata , Das Sasmita , Pradhan Jhunilata , Sahoo Ranjita , Sahu Meeksmita 
Published: February 2024

Background:
Phlebitis is still a common complication of peripheral venous catheters. Finding a suitable solution to prevent and reduce the incidence of this
complication continues to be a challenge. Various strategies were used to reduce the incidence of phlebitis. Mostly non-pharmacological measures
were taken as first preference. Intially, when patients come to any hospital for their treatment, the first is the peripherally inserted venous catheter
access conducted inpatient for medication administration, fluid administration and blood transfusion in both the hospital setting and ambulatory
setting. About 70% of thepatients admitted to the hospital requires peripherally inserted venous catheters (PIVCs). The incidence of phlebitis is
higher in patients who undergo continuous intravenous therapy.

Objectives:
To find out the effect of hand grip exercise in the sustaining patency of peripherally inserted venous catheters among patients in continuous
intravenous therapy.

Methods:
During the 8 weeks the hand grip exercise was evaluated in patients, who had undergone continuous intravenous infusion through the peripherally
inserted venous catheter for at least 3 days. The measurement of data is based on the patient’s socio-demographic Performa, patency checklist,
visual infusion phlebitis score and visual analogue scale. The post-test was conducted in both experimental and control groups.

Result:
Till the end of the study, 76 participants were taken. On day 3 of the hand grip exercise maximum of 24 (61.5%) PIVC were patent, whereas in
control group 5 (13.5%) PIVC were able to maintain their patency. On day 5 of exercise 34 (91.9%) PIVC were replaced with a cause of phlebitis
33(89.2%) in the control group in comparison with the experimental group only 22 (56.4%) lines were replaced with the same cause of phlebitis 24
(61.5%).

Conclusion:
Hand grip exercise is important for clients, to reduce the need for the potentially painful process of placing vascular lines and also helps to control
costs by reducing the number of devices used for each client and the development of phlebitis.
Nano-Biocomposites: A Versatile Combination of Nanocomposites and Biopolymers
for the Synthesis of Heterocycles via Multicomponent Reactions
Authors: Rajmane Archana , Kumbhar Arjun 
Published: February 2024

Abstract:
Organic natural materials like chitosan, cellulose, starch, agarose, and alginate
possess unique structures that are useful in creating advanced nanostructured materials. These
materials are highly useful in catalysis because of their numerous functional groups and
catalytic properties. They can also be combined with inorganic materials to create "nano-
Biocomposites" with specialized properties that can be utilized as catalysts in multicomponent
reactions. This review provides an overview of the use of nano-Biocomposites in
multicomponent reactions (MCRs).
Narrative Review of Traditional Chinese Medicine in the Treatment of
Postmenopausal Osteoporosis
Authors: Qi Li , Wei Guo Wang , Xu Dong Huang , Xiu Mei Zhao , Xiao Dong Xu , Cheng Ming Zhang 
Published: February 2024

Abstract::
An increasing percentage of people in China are suffering from osteoporosis, particularly
postmenopausal osteoporosis (PMOP), as the country rapidly evolves into an aging culture.
Patients with osteoporosis are inclined to endure fractures, as well as deformities and impairments,
which drastically decrease people’s quality of life. The benefits of traditional Chinese medicine
(TCM) treatment have continued to become increasingly apparent as reports of adverse responses
to Western medications increased. The main advantage of traditional Chinese medicine treatment
is that pharmacological interactions may be employed to lessen adverse effects while increasing
therapeutic efficacy. In addition, there are various exercise therapies created by medical doctors
in the past generations, such as: Wuqinxi, Taijiquan, Baduanjin, Yijinjing, etc. Chinese medicine
and exercise treatment for postmenopausal osteoporosis have garnered a lot of attention recently
both domestically and internationally, and investigations demonstrate that these therapies have
considerable therapeutic effects. The pathophysiology of postmenopausal osteoporosis, advancements
of herbal therapy options, and exercise treatment options are all thoroughly addressed in
this article.
Potential Antidiabetic Activity of β-sitosterol from Zingiber roseum Rosc. via
Modulation of Peroxisome Proliferator-activated Receptor Gamma
(PPARγ)
Authors: Amanat Muhammed , Daula A. F. M. Shahid Ud , Singh Randhir 
Published: February 2024

Aim::
To evaluate the antidiabetic potential of β-sitosterol from Zingiber roseum.

Background::
Diabetes mellitus is a cluster of metabolic disorders, and 90% of diabetic patients
are affected with Type II diabetes (DM2). For the treatment of DM2, thiazolidinedione drugs
(TZDs) were proposed, but recent studies have shown that TZDs have several detrimental effects,
such as weight gain, kidney enlargement (hypertrophy), fluid retention, increased risk of bone
fractures, and potential harm to the liver (hepatotoxicity). That is why a new molecule is needed
to treat DM2.

Objective::
The current research aimed to assess the efficacy of β-Sitosterol from methanolic extract
of Zingiber roseum in managing diabetes via PPARγ modulation.

Methods::
Zingiber roseum was extracted using methanol, and GC-MS was employed to analyze
the extract. Through homology modeling, PPARγ structure was predicted. Molecular docking,
MD simulation, free binding energies, QSAR, ADMET, and bioactivity and toxicity scores were
all used during the in-depth computer-based research.

Results::
Clinically, agonists of synthetic thiazolidinedione (TZDs) have been used therapeutically
to treat DM2, but these TZDs are associated with significant risks. Hence, GC-MS identified phytochemicals
to search for a new PPAR-γ agonist. Based on the in-silico investigation, β-sitosterol
was found to have a higher binding affinity (-8.9 kcal/mol) than standard drugs. MD simulations
and MMGBSA analysis also demonstrated that β-sitosterol bound to the PPAR-γ active site stably.

Conclusion::
It can be concluded that β-sitosterol from Z. roseum attenuates Type-II diabetes by
modulating PPARγ activity.
Cu-Co Bimetallic Catalyst-based Electrochemical Sensing Platform for
Determination of Bisoprolol in Clinical Samples
Authors: Salemi Mohammad Reza , Fathi Shahla , Chekin Fereshteh , Norouzi Banafsheh 
Published: February 2024

Background::
Bisoprolol (BIS) is a selective beta-blocker. It has been successfully
used to treat hypertension and angina pectoris. An overdose of BIS can lead to serious complications.
An overdose is a medical emergency that requires immediate medical attention to overcome
the adverse effects of the overdose. Hence, sensitive, reliable, and cost-effective methods
are required for the determination of BIS.

Methods::
In this work, a new electrochemical sensing platform based on a bimetallic catalyst was
developed for the determination of BIS. The Cu-Co nanocatalyst was easily synthesized by galvanic
displacement onto a carbon paste electrode (CPE). Then, field emission scanning electron
microscopy (FESEM), energy dispersive spectroscopy (EDS), and cyclic voltammetry (CV) were
utilized for the characterization of the Cu-Co catalyst.

Results::
The galvanic displacement of Cu metal significantly affected the electro-catalytic behavior
of the Cu-Co catalyst and the Cu-Co/CPE electrode displayed a very sensitive and accurate
response towards BIS. Under optimized conditions, the response was linear in the 3 to 120 μM
concentration range, sensitivity of 631.1 μA mM-1 and a detection limit of as low as 0.4 μM using
cyclic voltammetry. The simple proposed method was also successfully employed in the analysis
of BIS in biological and pharmaceutical samples. The advantages of Cu-Co/CPE are its fast and
simple manufacturing and the possibility of a repeated surface regeneration of the sensing platform,
as well as its application for the detection of BIS in tablets and biological samples, making
Cu-Co significant promise for use in clinical diagnostics. Besides, the synthesized catalysts
showed excellent reusability and stability.

Conclusion::
The presence of Cu metal due to galvanic displacement increased the sensitivity. These
findings suggest that the new nanocatalyst has potential applications in sensors and electronics.