bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hijacking host extracellular vesicle machinery by hepatotropic viruses: current understandings and future prospects
Authors: Chu Yu-De , Chen Mi-Chi , Yeh Chau-Ting , Lai Ming-Wei 
Published: October 2024

AbstractRecent advances in studies exploring the roles of extracellular vesicles (EVs) in viral transmission and replication have illuminated hepatotropic viruses, such as hepatitis A (HAV), hepatitis B (HBV), hepatitis C (HCV), hepatitis D (HDV), and hepatitis E (HEV). While previous investigations have uncovered these viruses’ ability to exploit cellular EV pathways for replication and transmission, most have focused on the impacts of exosomal pathways. With an improved understanding of EVs, four main subtypes, including exosomes, microvesicles, large oncosomes, and apoptotic bodies, have been categorized based on size and biogenic pathways. However, there remains a noticeable gap in comprehensive reviews summarizing recent findings and outlining future perspectives for EV studies related to hepatotropic viruses. This review aims to consolidate insights into EV pathways utilized by hepatotropic viruses, offering guidance for the future research direction in this field. By comprehending the diverse range of hepatotropic virus-associated EVs and their role in cellular communication during productive viral infections, this review may offer valuable insights for targeting therapeutics and devising strategies to combat virulent hepatotropic virus infections and the associated incidence of liver cancer.
Engineering of Aspergillus niger for efficient production of d-xylitol from l-arabinose
Authors: Rüllke Marcel , Schönrock Veronika , Schmitz Kevin , Oreb Mislav , Tamayo Elisabeth , Benz J. Philipp 
Published: October 2024

Abstractd-Xylitol is a naturally occurring sugar alcohol present in diverse plants that is used as an alternative sweetener based on a sweetness similar to sucrose and several health benefits compared to conventional sugar. However, current industrial methods for d-xylitol production are based on chemical hydrogenation of d-xylose, which is energy-intensive and environmentally harmful. However, efficient conversion of l-arabinose as an additional highly abundant pentose in lignocellulosic materials holds great potential to broaden the range of applicable feedstocks. Both pentoses d-xylose and l-arabinose are converted to d-xylitol as a common metabolic intermediate in the native fungal pentose catabolism.To engineer a strain capable of accumulating d-xylitol from arabinan-rich agricultural residues, pentose catabolism was stopped in the ascomycete filamentous fungus Aspergillus niger at the stage of d-xylitol by knocking out three genes encoding enzymes involved in d-xylitol degradation (ΔxdhA, ΔsdhA, ΔxkiA). Additionally, to facilitate its secretion into the medium, an aquaglyceroporin from Saccharomyces cerevisiae was tested. In S. cerevisiae, Fps1 is known to passively transport glycerol and is regulated to convey osmotic stress tolerance but also exhibits the ability to transport other polyols such as d-xylitol. Thus, a constitutively open version of this transporter was introduced into A. niger, controlled by multiple promoters with varying expression strengths. The strain expressing the transporter under control of the PtvdA promoter in the background of the pentose catabolism-deficient triple knock-out yielded the most favorable outcome, producing up to 45% d-xylitol from l-arabinose in culture supernatants, while displaying minimal side effects during osmotic stress. Due to its additional ability to extract d-xylose and l-arabinose from lignocellulosic material via the production of highly active pectinases and hemicellulases, A. niger emerges as an ideal candidate cell factory for d-xylitol production from lignocellulosic biomasses rich in both pentoses.In summary, we are showing for the first time an efficient biosynthesis of d-xylitol from l-arabinose utilizing a filamentous ascomycete fungus. This broadens the potential resources to include also arabinan-rich agricultural waste streams like sugar beet pulp and could thus help to make alternative sweetener production more environmentally friendly and cost-effective.
DepActive: study protocol for a randomised controlled multicentre trial of telephone-delivered behavioural activation for the treatment of depression in older adults in primary care
Authors: Byström Elin , Wennlöf Björn , Johansson Inger , Lönnberg Lena , Arkkukangas Marina , Pellas Johnny , Damberg Mattias 
Published: October 2024

Abstract
Background
Depression is common in older adults and is related to reduced quality of life and functional ability as well as increased mortality and morbidity. Current guidelines recommend psychological treatments for the treatment of depression in adults. Studies show that about 30% of older adults with depression in Sweden receive pharmacological treatment and about 3% receive psychological treatment. However, a majority receive no treatment at all. There is a need for effective and scalable psychological treatment options for older adults with depression in primary care. Behavioural activation is an extensively evaluated, effective, and relatively simple treatment for depression that can be delivered by health care professionals without comprehensive training in psychological treatment.

Methods
We will conduct a randomised controlled 2-armed parallel group multicentre trial comparing treatment as usual in primary care to a five-session telephone-delivered behavioural activation treatment as add on to treatment as usual. The current trial is open labelled. In all, 250 older adults (≥ 65 years) with depression will be recruited from primary healthcare centres in three Swedish regions. The primary outcome is depressive symptoms measured with the Montgomery Åsberg Depression Rating Scale – Self rating version (MADRS-S) after treatment and at 3- and 6-month follow-up. Secondary outcomes include depression diagnoses, activity level (self-rated and measured with accelerometer), and self-rated anxiety, daily functioning, quality of life, self-efficacy, and loneliness.

Discussion
There is a need for fully powered studies of brief behavioural activation for older adults with depression delivered by telephone in a primary care context. This study has the potential to improve first-line treatment of depression in older adults in primary care, consequently reducing morbidity and mortality within this population. Increasing the availability and accessibility to effective psychological treatment for depression in older adults is needed to meet future demographic changes.

Trial registration
ClinicalTrials.gov: NCT06284889. Registered February 28, 2024.
Synergistic inhibition effect of diolefinic dye and silver nanoparticles for carbon steel corrosion in hydrochloric acid solution
Authors: El-Nahass Marwa N. , Fayed Tarek A. , El-Gamil Mohammed M. , Fouda Abd El-Aziz S. 
Published: October 2024

AbstractThe current work looks at the inhibitory effects of a diolefinic dye, namely 1,4-bis((E)-2-(3-methyl-2,3-dihydrobenzo[d]thiazol-2-yl) vinyl) benzene iodide salt, in relation to CS corrosion mitigation in hydrochloric acid (HCl) environment. This study uses a variety of experimental methodologies, including weight loss (WL) analysis, electrochemical tests, and theoretical considerations. The synergistic effect of diolefinic dye and AgNPs on the corrosion inhibition of CS in 1 M HCl was investigated. The inhibition efficiency (IE) displays a notable enhancement as the concentration of the dye is elevated and as the temperature raises the IE increases. The diolefinic dye exhibited % IE of 83% even at low concentration (1 × 10–4 M) whereas 90% in the presence of (2.26 × 10–10) AgNPs. Tafel graphs demonstrate that the dye follows a mixed type inhibitor. The adsorption of the dye on CS surface follows Langmuir model. Moreover, the influence of temperature and the activation parameters disclose that diolefinic dye is chemisorbed on the CS surface. The synergistic coefficient of the diolefinic dye and AgNPs under various concentration conditions was greater than unity. The surface morphology of CS sheets was confirmed by scanning electron microscopy (SEM) and energy dispersive X-ray analysis (EDX). Density Functional Theory (DFT) calculations provide theoretical support for the inhibitory effects of the examined dye. Notably, there is a high agreement between the findings of practical studies and theoretical expectations.
Elucidating Thermothielavioides terrestris secretome changes for improved saccharification of mild steam-pretreated spruce
Authors: Caputo Fabio , Siaperas Romanos , Dias Camila , Nikolaivits Efstratios , Olsson Lisbeth 
Published: October 2024

Abstract
Background
The efficient use of softwood in biorefineries is hampered by its recalcitrance to enzymatic saccharification. In the present study, the fungus Thermothielavioides terrestris LPH172 was cultivated on three steam-pretreated spruce materials (STEX180°C/auto, STEX210°C/auto, and STEX210°C/H2SO4), characterized by different hemicellulose content and structure, as well as on untreated biomass. The aim of the study was to map substrate-induced changes in the secretome of T. terrestris grown on differently treated spruce materials and to evaluate the hydrolytic efficiency of the secretome as supplement for a commercial enzyme mixture.

Results
The cultivation of T. terrestris was monitored by endo-cellulase, endo-xylanase, endo-mannanase, laccase, and peroxidase activity measurements. Proteomic analysis was performed on the secretomes induced by the spruce materials to map the differences in enzyme production. Growth of T. terrestris on STEX180°C/auto and STEX210°C/auto induced higher expression level of mannanases and mannosidases of the GH5_7 CAZy family compared to cultivation on the other materials. Cultivation on untreated biomass led to overexpression of GH47, GH76, and several hemicellulose debranching enzymes compared to the cultivation on the pretreated materials. T. terrestris grown on untreated, STEX180°C/auto and STEX210°C/auto induced three arabinofuranosidases of the GH43 and GH62 families; while growth on STEX210°C/H2SO4 induced a GH51 arabinofuranosidase and a GH115 glucuronidase. All secretomes contained five lytic polysaccharide monooxygenases of the AA9 family. Supplementation of Celluclast® + Novozym188 with the secretome obtained by growing the fungus grown on STEX180°C/auto achieved a twofold higher release of mannose from spruce steam-pretreated with acetic acid as catalyst, compared to the commercial enzyme cocktail alone.

Conclusions
Minor changes in the structure and composition of spruce affect the composition of fungal secretomes, with differences in some classes explaining an increased hydrolytic efficiency. As demonstrated here, saccharification of spruce biomass with commercial enzyme cocktails can be further enhanced by supplementation with tailor-made secretomes.
Neurobartonelloses: emerging from obscurity!
Authors: Bush Janice C. , Robveille Cynthia , Maggi Ricardo G. , Breitschwerdt Edward B. 
Published: October 2024

Abstract
Background
Bartonella species are fastidious, intracellular bacteria responsible for an expanding array of human pathologies. Most are considered to be transmitted by direct inoculation with infected bodily fluids from a mammalian reservoir species or vector-transmitted through a variety of arthropod species and their excrement. However, there are mounting reports of infection in the absence of documented animal or vector contact. A variety of Bartonella species have been documented in conditions affecting both the peripheral and central nervous systems. More common conditions, including neuroretinitis, are often associated with Bartonella henselae. However, Bartonella quintana, the agent of trench fever, as well as emerging pathogens related to rodent reservoir species, B. grahamii and B. elizabethae, have also been documented. Encephalitis and encephalopathy, also most often associated with B. henselae, have been reported with B. quintana, B. washoensis (ground squirrels) and B. vinsonii subsp. vinsonii (voles) infections. Bartonella infections have also been associated with peripheral neuropathies, such as cranial nerve paresis and neuropathic pain, including infection with less commonly encountered species such as Bartonella koehlerae. Recently, molecular diagnostic testing revealed that DNA from Bartonella spp. was found to be more prevalent in blood of patients with neuropsychiatric disorders such as schizophrenia and psychoses compared to healthy controls.

Methods
A systematic literature search was conducted on PubMed, Google Scholar and Web of Science. Search terms included Bartonella and specific neurological conditions and focused on peer-reviewed case reports published after 2012 pursuant to a prior review, with limited exceptions for conditions not previously covered. Published diagnostic testing, serology, molecular testing or pathology, were necessary for inclusion, except for one case which had clinical and epidemiological evidence consistent with diagnosis along with follow-up.

Results
Neurobartonelloses included neuralgic amyotrophy, complex regional pain syndrome, chronic inflammatory demyelinating polyneuropathy, cranial nerve paralysis, Guillain-Barré syndrome, peripheral vasculitic polyneuropathy, acute transverse myelopathy, neuroretinitis, encephalitis/encephalopathy, cerebral vasculitis/aneurysm and neuropsychiatric conditions.

Conclusions
The breadth of reported symptoms and clinical syndromes associated with an increasing number of Bartonella species continues to expand. Increased clinical awareness of this important zoonotic pathogen is necessary to advance One Health among the medical and veterinary communities.

Graphical Abstract
EFMF-pillars: 3D object detection based on enhanced features and multi-scale fusion
Authors: Zhang Wenbiao , Chen Gang , Wang Hongyan , Yang Lina , Sun Tao 
Published: October 2024

AbstractAs unmanned vehicle technology advances rapidly, obstacle recognition and target detection are crucial links, which directly affect the driving safety and efficiency of unmanned vehicles. In response to the inaccurate localization of small targets such as pedestrians in current object detection tasks and the problem of losing local features in the PointPillars, this paper proposes a three-dimensional object detection method based on improved PointPillars. Firstly, addressing the issue of lost spatial and local information in the PointPillars, the feature encoding part of the PointPillars is improved, and a new pillar feature enhancement extraction module, CSM-Module, is proposed. Channel encoding and spatial encoding are introduced in the new pillar feature enhancement extraction module, fully considering the spatial information and local detailed geometric information of each pillar, thereby enhancing the feature representation capability of each pillar. Secondly, based on the fusion of CSPDarknet and SENet, a new backbone network CSE-Net is designed in this paper, enabling the extraction of rich contextual semantic information and multi-scale global features, thereby enhancing the feature extraction capability. Our method achieves higher detection accuracy when validated on the KITTI dataset. Compared to the original network, the improved algorithm’s average detection accuracy is increased by 3.42%, it shows that the method is reasonable and valuable.
Cancelable palmprint: intelligent framework toward secure and privacy-aware recognition system
Authors: Ali Hanaa S. , Elhefnawy Eman I. , Abo-Zahhad Mohammed 
Published: October 2024

AbstractCancelable template protection techniques are indispensable to provide essential security and privacy privileges in biometric systems. This paper introduces an efficient cancelable palmprint recognition technique based on multi-level transformations. Gabor filtering with feature remapping is introduced for extracting highly discriminative features. Histogram remapping is applied to nonlinearly transform the downsampled Gabor features to be normally distributed. This feature-remapping step is proposed to enhance the discriminatory power and alleviate the effect of feature variability and image artifacts. Comb filtering is applied to the mapped features as a first protection layer. To provide security guarantees against linkability attacks, index-based locality-sensitive hashing (LSH) is introduced as a second protection layer to transform the comb-filtered mapped real-valued features into maximum-ranked indices. Recognition is performed in the secured domain to accelerate matching and to preserve the user’s privacy. Results show that the proposed scheme provides a large re-issuance ability, protects templates from being inverted, and demonstrates strong unlinkability across different databases. In addition, favorable verification/identification accuracy is obtained and the system satisfies the needs for real-time applications. A global measure $${D}_{\leftrightarrow }^{sys}$$

D

↔

sys

value of 0.01 is obtained, and thus, correlation attacks are mitigated. The recognition results for the legitimate scenario are 100% identification accuracy and 0% EER. For the worst case (same token scenario), the corresponding results are 99.752% and 0.31%, respectively.
Parasites revive hope for cancer therapy
Authors: Eissa Maha M. , Salem Ahmed Ebada , El Skhawy Nahla 
Published: October 2024

AbstractParasites have attained a life-long stigma of being detrimental organisms with deleterious outcomes. Yet, recently, a creditable twist was verified that can dramatically change our perception of those parasites from being a source of misery to millions of people to a useful anti-cancerous tool. Various parasites have shown promise to combat cancer in different experimental models, including colorectal, lung, and breast cancers, among others. Helminths and protozoan parasites, as well as their derivatives such as Echinococcus granulosus protein KI-1, Toxoplasma gondii GRA15II, and Trypanosoma cruzi calreticulin, have demonstrated the ability to inhibit tumor growth, angiogenesis, and metastasis. This article provides an overview of the literature on various cancer types that have shown promising responses to parasite therapy in both in vitro and in vivo animal studies. Parasites have shown anti-neoplastic activity through a variety of mechanisms that collectively contribute to their anti-cancer properties. These include immunomodulation, inhibition of angiogenesis, and molecular mimicry with cancer cells. This review article sheds light on this intriguing emerging field and emphasizes the value of collaborative multidisciplinary research projects with funding agencies and pharmaceutical companies. Thus, these strategies would secure continuous exploration of this new avenue and accelerate the advancement of cancer therapy research. Although experimental studies are heavily conducted by leaps and bounds, further steps are definitely lagging. Upgrading research from the experimental level to the clinical trial would be a wise progression toward efficient exploitation of the anti-neoplastic capabilities of parasites, ultimately saving countless lives.
An ecological dilemma, novel sustainable ideas for Istanbul examining zoning regulation for green-areas and housing
Authors: Coskun Hülya 
Published: October 2024

AbstractThis research delves into the evolution of Istanbul’s urban agenda, which has become increasingly intricate due to recent challenges. The city's planning paradigm has undergone a discernible shift, with heightened attention concerns like seismic resilience, sustainability, and the climate-change. The planning projections for the city have experienced significant changes, by the earthquakes 1999 and 2023, climate-change, and the pandemic in 2020. Although the pandemic is considered temporary, it has significant in bringing sustainable matters like living airier, greener areas, back to the city planning. In response to the latest challenges, particularly the earthquake, the city confronted an ecological dilemma, prompting proposal to relocate new housing areas to the Northern-forest. The city's northern development axis, planned a century ago by the French architect-urbanist Henri Prost, is being questioned today end to its limits for green-areas. Based on ongoing global discussion, on academical circles on the imperative, the historic city of Istanbul grapples with the contemporary problems sustainability and seismic considerations in its future planning endeavors. This study engages in discursive analyses while concurrently offering practical recommendations to address sustainability through the development of specific zoning arrangements focuses on dual research axis urban-based, and housing-based, laws, and regulations, also housing model, and typologies as missing part of the previous research. This study principally examines this problematic via zoning practices of Istanbul in the Henri Prost period from housing areas to the housing models and typologies. Also, globally, along with the new zoning, the old zoning laws, and regulations can be bring the agenda again in the context of sustainability to promote a balanced relationship between human, nature and sustainability goals. In conclusion, amid the recent challenges in the city, innovative suggestions for advanced zoning applications in pursuit of sustainability reveal a notable gap in the protection of green-areas, planning new settlements. Henri Prost’s master plans stand out for employing distinctive zoning techniques for each district, also offering specific housing models and typologies. Extending this methodology to green-areas presents a bridge the existing void. By presented potential case scenarios at the end of the study emphasizing the merits of integrating historical zoning practices into contemporary planning, it aims to stimulate discussions on holistic and forward-looking urban development strategies.
Synergistic effects of students’ mathematics and science motivational beliefs on achievement, and their determinants
Authors: Liou Pey-Yan , Jang Jaehong , Myoung Eunjung 
Published: October 2024

Abstract
Background
Students’ mathematics and science motivational beliefs are crucial determinants of their school academic achievement in math and science. The current study aimed to identify the group memberships of students’ motivational beliefs in math and science, which are closely related. Furthermore, this study probed the predictive effects of individual students’ experiences at school on forming group membership. We also tested the mean differences of the identified latent groups in math and science achievement.

Results
Using latent profile analysis modeling, we examined data from 3857 Korean eighth-grade students participating in the 2019 Trends in International Mathematics and Science Study. The theoretical rationale and supplementary statistical indices showed a five-group membership as the optimal solution. The five groups are high motivation, medium motivation, low math/high science motivation, low motivation, and very low motivation. Students’ sense of school belonging was the most crucial predictor in forming group membership, whereas perceived student bullying did not predict group membership. Finally, students in distinct motivational belief groups exhibited differences in their math and science achievements.

Conclusions
This study identified five subgroups of students based on their distinct motivational beliefs in math and science, and variations in their association with achievements. In terms of policy development and intervention, it is important to nurture students’ sense of school belonging. This study advances motivational theories in science, technology, engineering, and mathematics education, and provides practical suggestions for improving educational practices to enhance student math and science motivational beliefs.