bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance Evaluation of the 3D Printing System through Fault Tree Analysis Method (FTAM)
Authors: FELFILI Gabriela , OLIVEIRA Marcos Honorato , MARTINELLI Juliana 
Published: April 2023

Abstract
This study focuses on the performance analysis of the 3D printing process using cementitious material on equipment installed at the Structures Laboratory (LabEst-UnB) of the University of Brasilia. A research direction was defined for the 3D printing with the aim of identifying which steps need to be further developed and which improvements should be made for this specific process to evolve. Following the execution of the proposed experimental program, evaluations of cementitious material pieces printed with the InovaHouse3D's Alya 130 printer were conducted, documenting the encountered issues and classifying them into failure groups. The causes, consequences, and affected components were defined and used in the application of the Fault Tree Analysis (FTA) method in the search for critical system events. It was observed that the most critical system failures were related to the material composition and printing parameters, focusing on events that trigger variations in the material's consistency. Thus, through this work, it was possible to identify improvement opportunities and suggest scientific research topics to enhance the 3D printing process according to the established priority levels.
Analysis of Pathological Manifestations in the Municipal Public Market of the City of Frecheirinha – CE: Case Study
Authors: SILVA Ana Jéssica Farias , FEITOSA Pammela Conceição Pontes , SALES Juscelino Chaves 
Published: April 2023

Abstract
Civil construction is related to the growth of society in adapting to constructive needs. Over time, human society has gained understanding for the development of construction technology. However, technological advancement can cause risks, and these generate deeper development on structures and materials from the mistakes made that result in degradation, failures and/or accidents. Deterioration occurs due to natural factors, constructive failures, design errors, inappropriate materials, lack of maintenance, among others. Degradations compromise the efficiency of the building, so a corrective action plan is necessary. This work aims to analyze and identify the pathological manifestations of the Municipal Public Market in the city of Frecheirinha, observing the pathological manifestations, their causes, and propose interventions and improvements for the restoration and recovery of the building. In the results, the main most frequent pathological manifestations were identified, which consist of the presence of stains, displacement of the ceramic coating, deterioration of the concrete, corrosion of reinforcements and inadequate electrical installations. Therefore, the present work shows the importance of identifying, analyzing the pathological manifestations present in the building and proposing recovery techniques for maintenance, providing safety and comfort to users throughout its useful life.
ContourNet:Research on Contour Based Nighttime Semantic Segmentation
Authors: Yang Yang , Liu Changjiang , Li Hao 
Published: April 2023

Abstract
Due to the scarcity of nighttime semantic segmentation datasets and the high demand for network models, the development of semantic segmentation of nighttime scenes is still very slow. This paper proposes a new network model, ContourNet, which can model images in multiple stages, including local features with rich superficial appearance information, global features with rich deep semantic information, and intermediate layer features. At the same time, this paper uses multi head decoders to fuse different levels of features. In this paper, a separate contour network module for processing object contours is designed for night images with imperceptible texture and color information. This network module is parallel to the semantic network module to achieve accurate prediction of object contours. The performance is prominent, especially for objects that are far away, small objects, or objects with high contour continuity. A large number of experiments demonstrates that the ContourNet proposed in this paper can significantly improve the semantic segmentation ability of existing models for nighttime images, and can also improve the semantic segmentation accuracy of daytime images to a certain extent, with good generalization ability. Specifically, after adding the contour module in this article, MIoU has increased by 5.1% on the night dataset Rebecca; MIoU has increased by 2.5% on the daytime dataset CamVid.
Could the Trustworthiness in RAndomized Controlled Trials (TRACT) checklist be trusted?
Authors: Alinany Hesham G , AbdelMonem Tamer M , Sobh Ahmed M , Galal Ahmed F , Elnomrosy  , Rezk Ahmed Y 
Published: April 2023

Abstract
Randomized controlled trials (RCTs) are considered the gold standard study design in clinical effectiveness research, albeit some RCTs have been found to be fraudulent post-publication. The Trustworthiness in RAndomized Controlled Trials (TRACT) checklist examines RCT integrity through an assessment covering seven domains. While the authors claim that it can identify problematic trials, it has never been validated. A critical appraisal of the checklist highlights major failures in terms of health measurement methodology, including the arbitrary nature of items chosen. We applied the checklist to 16 RCTs coauthored by the checklist developer, and identified potential violations related to retrospective registration, ethical implications, authorship, methodology, implausible timeframes, zero participants to follow-up, implausible baseline characteristics, and excessive inter-group within trial as well as inter-trial similarities. In addition, we identified inconsistencies between the trials’ registration and data in the final published manuscripts. If we uncritically assume that the checklist is valid, then a formal institutional investigation into the trial portfolio its developer is warranted; especially targeting these 16 trials objectively shown to be problematic. The checklist should be considered as neither investigative nor conclusive of potential problems with RCTs until it is further refined and validated.
On some inequalities of Hermite-Hadamard type for MT-η-convex functions and applications
Authors: Vivas-Cortez Miguel , Saleem Muhammad Shoaib , Shah Ahsan Fareed , Nazeer Waqas 
Published: April 2023

Abstract
The principle problems considered is to extend Hermite-Hadamard type inequalities for MT-η-convex functions. Various fractional integral inequalities are also derived for MT-η-Convexity with Riemann-Lioville fractional integral operator setting. Examples and applications of the results are also given. It is also important to mention that our work extends the inequalities existed in literature.
Evaluation of α-Synuclein in CNS-originating Extracellular Vesicles for Parkinsonian Disorders: A Systematic Review and Meta-analysis.
Authors: Taha Hash Brown , Ati Shomik S. 
Published: April 2023

Abstract
Parkinsonian disorders, including Parkinson's disease (PD), multiple system atrophy (MSA), dementia with Lewy bodies (DLB), progressive supranuclear palsy (PSP), and corticobasal syndrome (CBS), present shared early motor symptoms but have distinct cellular and regional pathophysiology, making accurate premortem diagnosis challenging. Extracellular vesicles (EVs) provide a unique central nervous system (CNS) insight, as they contain cell-state-specific biomolecules and can cross the blood-brain barrier to the peripheral circulation. Measuring biomarkers in blood CNS-originating EVs, specifically neuronal and oligodendroglial EVs (nEVs and oEVs), has become a promising avenue for minimally invasive diagnostics. This meta-analysis aimed to evaluate the potential of blood-isolated nEVs and oEVs α-synuclein (α-syn) proteoforms in parkinsonian disorders. Thirteen studies were included, with a total of 1,565 PD, 206 MSA, 21 DLB, 172 PSP, 152 CBS patients, and 967 healthy controls (HCs). An inverse-variance random-effects model was used to quantify effect size (SMD), while QUADAS-2 assessed the risk of bias. Begg’s rank correlation and Egger’s regression tests evaluated publication bias. The findings suggest that a combination of nEVs and oEVs α-syn concentrations are higher in patients with PD compared to HCs (SMD = 0.21; p = 0.021). Interestingly, nEVs α-syn was lower in patients with PSP and CBS when compared to PD patients (SMD = -1.04; p = 0.0017) or HCs (SMD = -0.41, p < 0.001). Contrary to existing literature, α-syn levels in oEVs did not effectively differ among PD, MSA, or HCs. Meta-regressions revealed that demographic and clinical factors were not significant predictors of nEVs or oEVs α-syn concentrations. These findings emphasize the need for adopting more rigorous, standardized procedures and independent validations across all laboratories studying biomarkers in CNS-originating EVs. Furthermore, there is a pressing need for improved biomarkers to better distinguish between parkinsonian disorders.
A Real-time Control System of Upper-limb Human Musculoskeletal Model with Environmental Integration
Authors: Saputra Azhar Aulia , Matsuda Tadamitsu , Kubota Naoyuki 
Published: April 2023

Abstract
Human musculoskeletal modelling involves extensive mathematical calculations to replicate physical and biological dynamics faithfully, making it difficult to arrive at an estimate of muscle activity. Real-time processes affect the real monitoring application and advanced analy- sis. This model aimed to achieve real-time muscle activity estimation using human musculoskeletal simulation with environmental integration. We focused on the upper ex- tremity of the human musculoskeletal model with 50 Hill- type muscles. We built the model in MuJoCo and included surrounding environments. The data input on human pos- ture was acquired from single RGBD sensors located at 32 three-dimensional node positions. We provided inverse kinematics calculations to convert this data to the joint angle level of the simulation model. We controlled the stretch reflex of each muscle to move the target joints. The target muscle stretch length was calculated from the mechanical integration between the bone and the muscle- tendon actuator anchored to it. In the model, an artificial force could be applied to represent an external load. To validate our model, we conducted the basic movement of the upper extremity and measured the resulting muscle activity with EMG sensors. We concluded that the proposed model can accurately estimate muscle activation, including the force exerted by each muscle. Further experiments showed that the proposed model can be integrated with dynamic environmental conditions for a seamless human physical monitoring system.
Using paclobutrazol and leaf-to-fruit-ratio as tools for improving yield and quality of non-dwarfing high-density peach orchards
Authors: Sharma Shashi K. , Dhar Sukjai 
Published: April 2023

Abstract
Excessive fruit set and foliar shading are the major deterrents to the economic productivity of peach orchards raised on vigorous rootstocks. To address this issue in high density peach orchards studies were conducted on the Early Grande peach grafted on to non-dwarfing wild peach seedling rootstock. The orchard was situated in the sub-Himalayan subtropics having sandy loam soil with normal physico-chemical characteristics. Experiment was laid out in RBD factorial experimental design with paclobutrazol (PBZ) and leaf-to-fruit ratio (LFR) treatment factors; three levels of PBZ viz. P1-1500ppm, P2-2500ppm, P3-0 ppm and four levels of LFR i.e. L1-30:1, L2-40:1, L3-50:1 and L4 - normal leaf number were tried. The findings revealed that 2500 ppm PBZ together with 40:1 LFR treatment not only reduced the number of days from full bloom to maturity but also improved fruit thinning. The fruit retention was recorded better with 1500 ppm PBZ and 50:1 LFR; however, the yield was recorded highest with 2500 ppm PBZ and 40:1 LFR treatments. This treatment combination also resulted in better overall fruit quality in terms of fruit surface colour, total soluble solids, firmness, acidity, sugars etc. The control over the vegetative growth was also observed better under this treatment combination.
Tensor foundations of tunnel mathematics
Authors: Shvydkyi Oleh 
Published: April 2023

Abstract
The main relations of tunnel mathematics (theory of functions of spatial complex variable) can be obtained with the aid of tensor analysis. It is commonly known, for instance, that a second-rank tensor being multiplied by vector on a plane can change a direction of this vector, i. e. second-rank tensor can take the vector out of the plane. Besides, tunnel mathematics can be applied for solving problems of fluid dynamics and theory of elasticity where tensor analysis is used very broadly. So, it is naturally to use tensor analysis for building the tunnel mathematics.
The design of climate-adaptive water subsidies: financial incentives for urban water conservation in Morocco
Authors: Burt Zachary , Leal Susan , Workman James , McElroy Michael , Bouhia Hynd 
Published: April 2023

Abstract
In a 500-household pilot, we tested an innovative approach to water demand management, implemented in collaboration with a water utility in a large city in the Middle East and North Africa (MENA) region. We provided a novel intervention, called a Water Savings Credit (WSC), which granted participants volumetric rebates on their water bills for their reductions in water consumption. WSCs were effective at encouraging conservation in our pilot in Marrakech. Our approach has the benefits of a price incentive, without the political risk of a tariff increase. For urban water utilities that provide highly subsidized services, this approach could ultimately pay for itself, or potentially result in net financial savings. Our approach may be especially effective in the countries of the MENA region, as the region has a high rate of subsidization for water services, and because it is facing increasing water scarcity from economic growth, urbanization, and climate change.
Enhanced sulfide removal by gas stripping in a novel reactor for anaerobic wastewater treatment
Authors: Onodera Takashi , Takemura Yasuyuki , Aoki Masataka , Syutsubo Kazuaki 
Published: April 2023

Abstract

Removal of sulfide by gas stripping using biogas produced in an internal phase-separated reactor (IPSR) was evaluated during anaerobic treatment. The IPSR consisted of upper and lower segments with a gas–liquid partitioning (GLP) valve between the sections. Wastewater was fed to the upper segment in the first stage and then to the lower segment in the second stage. The GLP valve separated the liquid phase from the gaseous phase and supplied biogas from the lower segment to the upper segment. The IPSR and a control reactor were fed with synthetic wastewater and operated in parallel under an organic loading rate of 12 kg COD/(m3 day) at 35 °C. The sulfide concentration increased to 400–600 mg S/L, which is above the previously reported 50% inhibition level for methanogenic activity. The IPSR showed higher H2S removal performance than the control reactor and removed approximately twice the H2S as the control reactor at 400 mg S/L, indicating that it can be used for the stable treatment of wastewater containing high concentrations of sulfide.
Plant Flavonoids as Reservoirs of Therapeutics against Microbial Virulence Traits:
A Comprehensive Review Update
Authors: Carević Tamara , Stojković Dejan , Ivanov Marija 
Published: April 2023

Abstract:
Flavonoids are secondary metabolites abundantly present in plants and, in most cases, essential contributors
to plants bioactivity. They have been studied so far for a range of possible health-beneficial effects,
including antioxidant, cardioprotective, and cytotoxic. Therefore, there are data on the antimicrobial potential of
a significant number of flavonoids. However, less is known regarding their antivirulence traits. Trending antimicrobial
research worldwide has pointed out the promising effects of antimicrobial strategies based on the antivirulence
principle, so this review aims to present the newest research regarding the antivirulence effects of
flavonoids. Articles on antivirulence flavonoids published from 2015 until now were selected. A range of molecules
from this class has been studied up to date, with the most abundant data for quercetin and myricetin, while
the most studied organism is Pseudomonas aeruginosa. The antivirulence attributes studied included antibiofilm
assessment, followed by data on the inhibition of virulence pigments (pyocyanin, violacein, and staphyloxanthin)
and virulence enzyme production (such as sortase A and elastase). Less information is collected on
the inhibition of morphological transition, motility, and molecular mechanisms underlying the antivirulence
properties of flavonoids and in vivo research. Flavonoids are a group of compounds with a wide range of antivirulence
traits and might be further developed into essential parts of novel antimicrobial strategies.
Blue Organic Light Emitting Diode Materials based on Different Light-emitting
Groups
Authors: Li Lichao , Zhu Xiuna , Sun Shang , Zhang Chaoyue , Yang Bingxin , Liu Shuang , Liu Zhenbo 
Published: April 2023

Abstract:
Organic light emitting diode (OLED) is a device that uses organic semiconductor
materials to emit light under the action of an electric field. Compared with traditional luminescent
materials, they have the advantages of good softness, low-temperature resistance,
wider field of vision and low energy consumption, and have been widely used in the field of
display and lighting in recent years. In addition, compared with red and green light-emitting
materials, the maximum external quantum efficiency of blue-light materials-based devices is
high, but the CIE coordinate performance is poor and the blue emission is difficult to achieve
high efficiency and high color purity at the same time. Researchers continue to design new
molecular structures in order to synthesize new high-efficiency blue light materials. It is found
that different molecular structures have different effects on the performance of OLED devices.
In the design and synthesis of blue-light materials, various light-emitting groups are often used to regulate the
stability, singlet-third-line state of the target molecule energy level difference, excited state lifetime, aggregation
state structure, electricity luminescent color and its OLED performance, etc. The introduction of different lightemitting
groups into the blue light material greatly improves the performance of the material. This paper mainly
reviews the research status of blue organic electroluminescent materials in the past five years from different molecular
structures, further discusses the photoelectric properties of each compound and the properties of devices based
on this material, and briefly analyzes the advantages of molecular design and device production. And finally discusses
the improvement methods of blue OLED light-emitting materials in order to provide a reference for future
research.
Bioorthogonal Photoclick 1,3-Dipolar Cycloaddition Reaction on Protein – A Review
Study
Authors: Mandal Pritha 
Published: April 2023

Abstract:
Click reactions have gained enormous popularity among chemists for their ambient
reaction parameters and wide application in various frontier research fields. Photo-initiated
click reactions add another dimension of spatiotemporal control which ensures fruitful
bioorthogonal reaction. Several cycloaddition reactions, enlisted in the category of ‘photo
click’ reactions due to the fast kinetics and ambient reaction conditions, are widely utilized by
scientists for bioorthogonal conjugation. In this review, various types of 1,3-dipolar cycloaddition
reactions and their applications in the field of protein bioconjugation are discussed.
Natural Products as Antifungal Agents against Invasive Fungi
Authors: Dong Fang-Rui , Gao Lu , Wang Liang , Jiang Yuan-Ying , Jin Yong-Sheng 
Published: April 2023

Background:Invasive fungal infections (IFIs) are primarily caused by Candida spp., Cryptococcus neoformans, Aspergillus spp., Mucor spp., Sporothrix spp., and Pneumocystis spp., which attack human organs with a strong pathogenicity and exhibit drug resistance against com-monly used chemical drugs. Therefore, the search for alternative drugs with high efficacy, low re-sistance rates, few side effects, and synergistic antifungal effects remains a major challenge. The characteristics of natural products with structural and bioactive diversity, lower drug resistance, and rich resources make them a major focus of the development of antifungal drugs.Objective:Objectives: This review attempts to summarize the origin, structure, and antifungal activity of natural products and their derivatives with MIC ≤ 20 μg/mL or 100 μM, focusing on their MoA and SAR.Methods:All pertinent literature databases were searched. The search keywords were antifungal or antifungals, terpenoids, steroidal saponins, alkaloid, phenols, lignans, flavonoids, quinones, macro-lide, peptide, tetramic acid glycoside, polyene, polyketide, bithiazole, natural product, and deriva-tives. All the related literature (covering the past 20 years, 2001-2022) was evaluated.Results:In total, 340 natural products and 34 synthesized derivatives with antifungal activity from 301 studies were included in this review. These compounds were derived from terrestrial plants, ocean life, and microorganisms and exhibited in vitro and in vivo potent antifungal activity alone or in combination. The MoA and SARs of reported compounds were summarized whenever applicable.Conclusion:In this review, we attempted to review the available literature on natural antifungal products and their derivatives. Most of the studied compounds showed potent activity against Can-dida species, Aspergillus species, or Cryptococcus species. Some of the studied compounds also demonstrated the ability to impair the cell membrane and cell wall, inhibit hypha and biofilms, and cause mitochondrial dysfunction. Although the MoAs of these compounds are not well understood yet, they can be used as lead components for the development of new, effective, and safe antifungal agents through their novel mechanisms.