bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tuning the mechanical and thermoelectric properties of self‐standing stretchable PEDOT:PSS/SDBS films
Authors: Hossain Shafayat , Yamamoto Yuya , Kishi Naoki 
Published: May 2024

AbstractPoly(3,4‐ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) has recently attracted significant attention as a potential candidate for small‐scale thermoelectric conversion because of its ease of doping, and solution processability. This study addressed the fabrication of self‐standing PEDOT:PSS films modified with sodium dodecylbenzene sulfonate (SDBS) surfactant, presuming different annealing temperatures. According to the investigation, optimizing the annealing temperature improves crystal quality and increases the efficiency of PEDOT:PSS films. The resulting PEDOT:PSS films showed the highest electrical conductivity of about 623.68 Scm−1 and maximum power factor of 25.87 μWm−1 K−2. In addition to confirming thermoelectric properties; SDBS surfactants are being investigated to plasticize PEDOT:PSS films at different concentrations and annealing temperatures. With an optimization in annealing temperature, the elongation at break value similarly improves; and the highest elongation at break was observed at 0.94 wt% SDBS concentration, reaching 32%. To completely understand the underlying reasons for this dependence, higher‐order structures and electronic states of polymer films have been examined using electronic reflectance spectroscopy and X‐ray diffraction analysis. Overall, the outcomes of this work show how important surfactants and their annealing temperature are for improving the mechanical and thermoelectric characteristics of self‐standing PEDOT:PSS films.
The effectiveness of the semi‐automated Identifin software to accurately fast‐track dorsal fin photographic identifications of sharks
Authors: Maroen Megan , Rowlinson Mary , Matthee Conrad , Andreotti Sara 
Published: May 2024

Abstract
For some marine species, photo‐identification (photo‐ID) data can be used to generate population estimates critical for conservation efforts. For the white shark (Carcharadon carcharias), different photo‐ID methods have been proposed: (1) the traditional manual matching method based on non‐organized databases, (2) the notches code method based on organized databases and (3) the semi‐automatic software, Identifin. However, the effectiveness of these different methods and the applicability to other shark species have not been adequately explored.
Eleven inexperienced and two experienced investigators used the three different photo‐ID methods to record the accuracy and time taken to identify individual white sharks from photo‐ID images.
Both the traditional and notches code methods allowed for the accurate matching of individuals to the databases provided. For all investigators, the notches code method used significantly less time (14 min ± 0.14 min) than the traditional matching method (19 min ± 1.34 min). The semi‐automated method, Identifin, further shortened the identification time to 2 min (± 0.10 min) and provided a significantly higher matching accuracy (96% correct matches) compared with traditional manual matching (78% correct matches) and the notches code method (70% correct matches).
The use of Identifin was tested to identify bronze whaler sharks (Carcharhinus brachyurus), a species with finer notches patterns when compared with white sharks. Identifin showed less efficiency in matching individual photographs to the database, but when very‐high‐quality (VHQ) photographs were available, matching improved substantially.
Identifin software shows great potential in assisting researchers to accurately identify individual sharks in large databases, and this can contribute significantly to the conservation of shark species. The software and automated process need to be adapted to be functional on a variety of different shark species, but it proves to be an effective tool in managing large photo‐ID databases.
Metabolomic analysis reveals the molecular mechanism related to leg abnormality in broilers
Authors: Zheng Jumei , Zhang Qi , Tang Xinxin , Ying Fan , Liu Dawei , Li Sen , Liu Ranran , Wen Jie , Li QingHe , Zhao Guiping 
Published: May 2024

AbstractRapid body weight gain in broilers overloads the metabolic system of the organism, resulting in leg abnormalities, which seriously affects animal welfare and industry economics. In this study, broilers with normal and deformed leg bones were examined. Serum biochemical indices showed that the serum calcium to phosphorus ratio was extremely decreased in leg deformed group. In addition, abnormal serum lipid levels suggested a disruption in lipid metabolism. Based on widely targeted metabonomic analysis of serum and cartilage tissues, a total of nine differential metabolites (DMs) significantly associated with leg abnormalities and serum calcium and phosphorus levels were screened, including carnitine C16:0, carnitine C18:1, 3‐hydroxymethyl‐L‐tyrosine, cis‐4‐hydroxy‐D‐proline, cis‐L‐3‐hydroxyproline, trans‐4‐hydroxy‐L‐proline, and so on. Pathway analysis revealed that fatty acid degradation and arachidonic acid metabolism were enriched. Analysis of DMs in these two pathways showed that prostaglandin D2, prostaglandin J2, prostaglandin A2, 15‐keto prostaglandin F2α, and Δ12‐prostaglandin J2 significantly differed between the normal and abnormal groups. It was hypothesized that these important metabolic pathways and metabolites were involved in the metabolic regulation of leg abnormalities.
A Recyclable Luminescent MOF Sensor for On‐Site Detection of Insecticide Dinotefuran and Anti‐Parkinson's Drug Entacapone in Various Environmental and Biological Specimens
Authors: Mir Nazir Ud Din , Hossain Sk Sakir , Biswas Shyam 
Published: May 2024

AbstractThe monitoring and precise determination of pesticides and pharmaceutical drugs and their residues have become increasingly important in the field of food safety and water contamination issues. Herein, a fluorescent aluminium MOF‐based sensor (1) was developed for the selective recognition of neonicotinoid insecticide dinotefuran and anti‐Parkinson's drug entacapone. Guest‐free MOF 1′ exhibited ultra‐fast response (<5 s) and ultra‐low detection limits of 2.3 and 7.6 nM for dinotefuran and entacapone, which are lower than the previously reported MOF‐based sensors. In the presence of other competitive analytes, great selectivity was achieved towards both analytes. The probe was recyclable up to five cycles. The sensing ability was explored towards entacapone in human serum, urine and dinotefuran in real soil, rice, honey samples, different fruits, vegetables, real water specimens and a wide range of pH media. A low‐cost, handy MOF‐based polymer thin‐film composite (1′@PVDF‐PVP) was developed for the on‐site detection of dinotefuran and entacapone. Mechanistic studies involving analytical techniques and theoretical calculations suggested that FRET and PET are the probable reasons for entacapone sensing whereas IFE is responsible for dinotefuran detection. The entire work presents a low cost, multi‐use photoluminescent sensor of entacapone and dinotefuran to address the environmental pollution.
Fluorescent Sensors for Tetracycline Detection in Aqueous Medium: A Mini‐Review
Authors: Basak Megha , Das Gopal 
Published: May 2024

AbstractTetracycline (TC) is a commonly used antibiotic in human therapy and animal husbandry. Public concerns about TC residues inflated due to their negative impact on the environment, food, and human health concerns. To ensure human health and safety, there is a need for fluorogenic chemosensors that can easily detect TC antibiotics with high selectivity and sensitivity in the aqueous medium. This mini‐review discusses the progress and achievements in several fluorometric antibiotic tetracycline detection methods. Fluorogenic chemosensors for tetracycline antibiotics with easy‐to‐use, high selectivity, and sensitivity have been essentially required to regulate food safety and secure human health and safety. Moreover, we gave more attention to the practical applicability of chemosensors for tetracycline antibiotics in food and water quality assessment. This article starts with a section that constitutes an overview of the problems of antibiotics and the typical features of traditional techniques of antibiotic detection. It then goes on to describe up‐to‐date optical methods for the selective detection and efficient removal of TC. These methods involve a variety of platforms, like tetraphenylethylene polymers, metal complexes, self‐assembled CuNCs, and hydrogel. The article also discusses the practical applicability of chemosensors for tetracycline antibiotics in food and water quality.
Ambiguity Preference in Waiting Time: Investigating the Desirability Effect and the Interplay of Temporal Description, Outcome Category, and Evaluation Mode
Authors: Xu Ping , Cheng Jiuqing , Shang Xianyue , Jin Zhixian 
Published: May 2024

ABSTRACTPeople often experience uncertain waiting times, like when awaiting job interview decisions. Despite its prevalence, the preference for waiting time‐ambiguity has received limited research attention. Drawing on the information gap theory, which suggests ambiguity avoidance is influenced by the affective response to the missing information caused by uncertainty, this work examined the effect of outcome desirability on ambiguity preference in the context of waiting time. Across five studies in China and the United States, this work observed that people strongly dislike unknown waiting time for undesirable outcomes compared with desirable outcomes. This effect held true in both rating tasks and choice tasks. Furthermore, this study explores factors influencing this desirability effect. Using calendar dates instead of waiting time units and evaluating the options separately rather than jointly, reduced the impact of outcome desirability on ambiguity preference. Additionally, this desirability affect was more pronounced for utilitarian than hedonic outcomes. Altogether, these findings highlight the role of outcome desirability, temporal description, and evaluation mode in shaping individuals' preference for ambiguity in the domain of waiting time.
Momentum‐preserving inversion alleviation for elastic material simulation
Authors: Jeong Heejo , Kim Seung‐wook , Lee JaeHyun , Um Kiwon , Kee Min Hyung , Han JungHyun 
Published: May 2024

AbstractThis paper proposes a novel method that enhances the optimization‐based elastic body solver. The proposed method tackles the element inversion problem, which is prevalent in the prediction‐projection approach for numerical simulation of elastic bodies. At the prediction stage, our method alleviates inversions such that the subsequent projection solver can benefit in stability and efficiency. To prevent excessive suppression of predicted inertial motion when alleviating, we introduce a velocity decomposition method and adapt only the non‐rigid motion while preserving the rigid motion, that is, linear and angular momenta. Thanks to the respected inertial motion in the prediction stage, our method produces lively motions while keeping the entire simulation more stable. The experiments demonstrate that our alleviation method successfully stabilizes the simulation and improves the efficiency particularly when large deformations hamper the solver.
Neonatal pleural effusion associated with pulmonary sequestration: A case report
Authors: Twanabasu Sajal , Chalise Shiva Prasad Sharma 
Published: May 2024

Key Clinical MessagePleural effusion is rare during neonatal period with an estimated prevalence of 0.06%. It may sometimes uncommonly be secondary to pulmonary sequestration. Besides common conditions like hydrops fetalis, congenital heart disease, congenital chylothorax, chromosomal abnormalities; pulmonary sequestration should also be considered while evaluating the cause for neonatal pleural effusion.
Challenges in the Synthesis and Processing of Hydrosilanes as Precursors for Silicon Deposition
Authors: Gerwig Maik , Böhme Uwe , Friebel Mike 
Published: May 2024

AbstractHydrosilanes are highly attractive compounds, which can be processed as liquids with printing technology to amorphous silicon films on nearly any solid substrate. The silicon layers can be processed for electronic devices like transistors or thin‐film solar cells. The endothermic character of hydrosilanes with their positive enthalpies of formation results in favorable properties for processing. The larger the molecules, the lower their decomposition temperature and the higher their photoactivity. Cyclic hydrosilanes such as cyclopentasilane and cyclohexasilane can be easily deposited. The branched neopentasilane is more difficult to deposit but yields better‐quality films after processing. The key challenge is the complex synthesis of the precursors and the hydrosilanes. The available preparative methods are presented in this review and their advantages and disadvantages are evaluated. The following synthesis methods are presented and discussed in this article: Wurtz coupling and other reductive coupling processes, dehydrogenative coupling of silanes, plasma synthesis of chlorinated polysilanes, amine‐ or chloride‐induced disproportionations, and transformation of monosilane to higher silanes. Plasma synthesis is already carried out today as a continuous industrial process. The most effective synthesis methods in the laboratory are currently amine‐ and chloride‐induced disproportionations. There is a great need to further optimize the syntheses of hydrosilanes and to develop new simple synthesis variants.
Phloroglucinol Derivatives Exert Anti‐Inflammatory Effects and Attenuate Cognitive Impairment in LPS‐Induced Mouse Model
Authors: Kim Jushin , Won Choi Ji , Jeong Kim Hyeon , Kim Byungeun , Kim Yoowon , Hwejin Lee Elijah , Kim Rium , Kim Jaehwan , Park Jiwoo , Jeong Yeeun , Park Jong‐Hyun , Duk Park Ki 
Published: May 2024

AbstractNeuroinflammation is an inflammatory immune response that arises in the central nervous system. It is one of the primary causes of neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease. Phloroglucinol (PG) is a natural product contained in extracts of plant, algae and microbe and has been reported to have antioxidant and anti‐inflammatory properties. In this study, we synthesized PG derivatives to enhance antioxidant and anti‐inflammatory activity. Among PG derivatives, 6 a suppressed pro‐oxidative and inflammatory molecule nitric oxide (NO) production more effectively than PG. Moreover, 6 a dose‐dependently reduced the expression of proinflammatory cytokines such as IL‐6, IL‐1β, TNF‐α, and NO producing enzyme iNOS in lipopolysaccharide (LPS)‐stimulated BV‐2 microglial cells. Additionally, we confirmed that 6 a alleviated cognitive impairment and glial activation in mouse model of LPS‐induced neuroinflammation. These findings suggest that novel PG derivative, 6 a, is a potential treatment for neurodegenerative diseases.
The Evolution of Antibody‐Drug Conjugates: Toward Accurate DAR and Multi‐specificity
Authors: Dong Wenge , Wang Wanqi , Cao Chan 
Published: May 2024

AbstractAntibody‐drug conjugates (ADCs) consist of antibodies, linkers and payloads. They offer targeted delivery of potent cytotoxic drugs to tumor cells, minimizing off‐target effects. However, the therapeutic efficacy of ADCs is compromised by heterogeneity in the drug‐to‐antibody ratio (DAR), which impacts both cytotoxicity and pharmacokinetics (PK). Additionally, the emergence of drug resistance poses significant challenges to the clinical advancement of ADCs. To overcome these limitations, a variety of strategies have been developed, including the design of multi‐specific drugs with accurate DAR. This review critically summarizes the current challenges faced by ADCs, categorizing key issues and evaluating various innovative solutions. We provide an in‐depth analysis of the latest methodologies for achieving homogeneous DAR and explore design strategies for multi‐specific drugs aimed at combating drug resistance. Our discussion offers a current perspective on the advancements made in refining ADC technologies, with an emphasis on enhancing therapeutic outcomes.
Interventions to mitigate cancer‐related medical financial hardship: A systematic review and meta‐analysis
Authors: Rashidi Ali , Jung Jinho , Kao Raymond , Nguyen Emily Lan , Le Theresa , Ton Brandon , Chen Wen‐Pin , Ziogas Argyrios , Sadigh Gelareh 
Published: May 2024

AbstractBackgroundThis study systematically reviewed interventions mitigating financial hardship in patients with cancer and assessed effectiveness using a meta‐analytic method.MethodsPubMed, Cochrane, Scopus, CINAHL, and Web of Science were searched for articles published in English during January 2000–April 2023. Two independent reviewers selected prospective clinical trials with an intervention targeting and an outcome measuring financial hardship. Quality appraisal and data extraction were performed independently by two reviewers using a quality assessment tool. A random‐effects model meta‐analysis was performed. Reporting followed the preferred reporting items for systematic review and meta‐analyses guidelines.ResultsEleven studies (2211 participants; 55% male; mean age, 59.29 years) testing interventions including financial navigation, financial education, and cost discussion were included. Financial worry improved in only 27.3% of 11 studies. Material hardship and cost‐related care nonadherence remained unchanged in the two studies measuring these outcomes. Four studies (373 participants; 37% male, mean age, 55.88 years) assessed the impact of financial navigation on financial worry using the comprehensive score of financial toxicity (COST) measure (score range, 0–44; higher score = lower financial worry) and were used for meta‐analysis. There was no significant change in the mean of pooled COST score between post‐ and pre‐intervention (1.21; 95% confidence interval, –6.54 to 8.96; p = .65). Adjusting for pre‐intervention COST, mean change of COST significantly decreased by 0.88 with every 1‐unit increase in pre‐intervention COST (p = .02). The intervention significantly changed COST score when pre‐intervention COST was ≤14.5.ConclusionA variety of interventions have been tested to mitigate financial hardship. Financial navigation can mitigate financial worry among high‐risk patients.
Bridging the color barrier: A review of techniques for improving color perception in the blind and visually impaired
Authors: Dini Silvia , Ludovico Luca Andrea , Valero Gisbert María Joaquina 
Published: May 2024

AbstractThe transmission of color experience has become a central concern in the development of devices for blind and visually impaired individuals. Several techniques have been implemented, taking into consideration other sensory modalities, in an attempt to find the most suitable solution to intersemiotically translate this visual information. The primary objective of this paper is to investigate various approaches to convey chromatic information for individuals with low vision or blindness and emphasize the importance of multi‐modal integration and cross‐modal interaction among different senses. This research brings together a wide variety of strategies utilized to translate color codes, such as patterns, temperatures, scents, music, and vibrations, with the aim of uncovering the advantages and disadvantages of each technique. A review of the existing literature suggests that interaction between multiple sensory channels is more effective in compensating for lack of vision. As a particularly relevant case study, attention will be paid to the enjoyment of art by people with visual impairments.
A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework
Authors: Vakili Asrin , Al‐Khafaji Hamza Mohammed Ridha , Darbandi Mehdi , Heidari Arash , Jafari Navimipour Nima , Unal Mehmet 
Published: May 2024

SummaryCloud computing is quickly becoming a common commercial model for software delivery and services, enabling companies to save maintenance, infrastructure, and labor expenses. Also, Internet of Things (IoT) apps are designed to ease developers' and users' access to networks of smart services, devices, and data. Although cloud services give nearly infinite resources, their reach is constrained. Designing coherent and organized apps is made possible by integrating the cloud and IoT. Expanding facilities by combining services is a critical component of this technology. Various services may be presented in this environment based on the user's demands. Considering their Quality of Service (QoS) attributes, discovering the appropriate available atomic services to construct the needed composite service with their collaboration in an orchestration model is an NP‐hard issue. This article suggests a service composition method using Grey Wolf Optimization (GWO) and MapReduce framework to compose services with optimized QoS. The simulation outcomes illustrate cost, availability, response time, and energy‐saving improvements through the suggested approach. Comparing the suggested technique to three baseline algorithms, the average gain is a 40% improvement in energy savings, a 14% decrease in response time, an 11% increase in availability, and a 24% drop in cost.
Exploring the Scaling Factors for Infrared Modes of PANHs – A Case Study on Cationic 3‐Azafluoranthene⋅+ and Protonated 3‐Azafluoranthene**
Authors: Schleier Domenik , Kamer Jerry , Martens Jonathan , Berden Giel , Oomens Jos , Bouwman Jordy 
Published: May 2024

AbstractInfrared (IR) emission bands by interstellar polycyclic aromatic hydrocarbons (PAHs) and polycyclic aromatic nitrogen heterocycles (PANHs) are observed towards a large variety of interstellar objects and offer detailed insights into the chemistry and physics of the interstellar medium. The analysis of the emission bands, and thus the interpretation of the molecular characteristics of the carriers, heavily relies on the use of density functional theory (DFT) calculated IR spectra. However, there are significant challenges in accurately predicting the experimental IR band positions, particularly for PANH emission vibrational modes around 6 μm. In this work, we present gas‐phase mid‐infrared (mid‐IR) spectra of cationic 3‐azafluoranthene (3AF⋅+) and protonated 3‐azafluoranthene (3AFH+) to investigate their experimental IR band positions in relation to DFT calculated bands. The experimental spectra are compared to DFT simulated spectra, where different approaches were followed to correct for anharmonicities. The best agreement is achieved by scaling frequencies of modes with large nitrogen displacements with a different factor. Even though our findings might be limited to a small number of PANH structures, they indicate, that nitrogen atom incorporation needs to be accounted for by carefully adjusting the corresponding scaling factors while computing IR spectra of PANHs on DFT level.