bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diferentes densidades de alojamento de galinhas poedeiras em gaiolas e suas respectivas produção, qualidade de ovos e escore de penas
Authors: Farinhas Mateus Vianna Santos , Quintero Juan Carlos Palomino , Moreira Yuri Rodrigues , Rocha Samuel de Sousa , Reis Túlio Leite , Curvello Fernando Augusto 
Published: December 2023

As poedeiras criadas em sistema de gaiolas tem seu bem-estar afetado devido ao menor espaço disponível para elas, o que vai de encontro da crescente pressão por grande parte de consumidores preocupados com as condições em que essas aves são criadas. A consequência dessa menor densidade de alojamento sobre a produtividade, e a qualidade de vida da ave e dos ovos por elas produzidos deve ser avaliada. O objetivo desse estudo é avaliar a produção, qualidade de ovos, e bem-estar de galinhas poedeiras criadas em diferentes densidades de alojamentos em gaiolas. Às 28 semanas de idade, foram distribuídas, em delineamento inteiramente casualizado, 120 poedeiras leves da linhagem Novogen White, após debicagem, em 24 gaiolas com dimensões de 45 cm x 50cm, em três diferentes densidades de alojamento: 562,5 cm² /ave (quatro aves/gaiola), 450 cm² /ave (cinco aves/gaiola) e 375 cm² /ave (seis aves/gaiola), com 8 repetições cada. As dietas experimentais foram isoproteicas e isoenergéticas, formuladas à base de milho e farelo de soja. O período experimental será compreendido por seis ciclos de 28 dias cada. As variáveis analisadas foram: peso do ovo, índice de gema, unidade Haugh, pigmentação da gema, porcentagem dos componentes dos ovos e espessura de casca (em milímetros). Quando as aves atingiram 44 semanas de idade, foi realizada a medição do escore de penas. Foram avaliadas 40 galinhas por tratamento, em quatro regiões: peito, dorso, asas e posterior. Essa análise consiste em categorizar as aves de acordo com três diferentes escores, de acordo com o tamanho da área de ausência de penas em cada região. Espera-se que a redução da densidade de alojamento das galinhas nas gaiolas propicie maior produção com melhor qualidade dos ovos, promovendo também melhor bem-estar das aves.
Performing an Archive: Aims, Interests, Ideologies and Expectations
Authors:   Estonian Folklore Archives, Estonian Literary Museum, Tartu, Estonia, Sarv Mari , Goršič Ave ,   Estonian Folklore Archives, Estonian Literary Museum, Tartu, Estonia, Järv Risto ,   Estonian Folklore Archives, Estonian Literary Museum, Tartu, Estonia
Published: December 2023

Public archives are repositories of human memory and history, which collect, preserve, and provide access to the records and documents creating a bridge between the past, present, and future. Archives are dynamic structures that can be interpreted as knowledge hubs, with channels of information flowing in them, activities performed within the “black box” of the institution invisible for outsiders, and channels to disseminate information for groups that they serve. These channels develop and are designed under the impact of several factors. In this article we present six factors that have shaped the development and functioning of the Estonian Folklore Archives. We first illustrate the impact of these factors, browsing through the historical periods of Estonian folkloristics. Successively, the articles of the current volume on various aspects of tradition archives are introduced and presented within the framework of the hub conception, and the relevant impact factors are highlighted. The article demonstrates that ideological framework, public expectations, institutional status, research paradigms, individual incentives of the people in charge, and (developments in) technological equipment constantly shape the content and operation of tradition archives in various time periods and circumstances.
Folklore Activities of the Lithuanian Science Society: Utopian Goals or Insightful Ideas?
Authors:   Institute of Lithuanian Literature and Folklore, Vilnius, Lithuania, Žarskienė Ruta 
Published: December 2023

This article deals with two activities of the Lithuanian Science Society (LSS, 1907–1938) and the history of the folklore collections it accumulated. Its members encouraged people to record folk songs, fairytales, stories, riddles, and other forms of folklore, and they tried to gather in one place all the older manuscripts that contained folklore. This way, the LSS’s folklore archive was formed at the beginning of the twentieth century. In 1908, Eduard Wolter, a member of the LSS, made the first folklore sound recordings with a phonograph apparatus. The chair of the Society, Jonas Basanavičius, knew about the Phonogram Archives of Vienna and Berlin; therefore, he encouraged the establishment of such an archive in Vilnius. Another idea of the LSS, initiated by Mykolas Biržiška, was to gather all the songs in one place and to publish a national songbook. Unfortunately, these goals were visionary and utopian for this period of cultural development in Lithuania. In this study, the birth of these ideas and the path to their realisation are chronologically reviewed. The author discusses the reasons why they were not accomplished in the first part of the twentieth century, and gives explanations for why they were successfully implemented in the second part of the twentieth – beginning of the twenty-first centuries. The historical-political context as well as the actual digitisation of intangible heritage archives help clarify the process.
A deep learning method for drug-target affinity prediction based on sequence interaction information mining
Authors: Jiang Mingjian , Shao Yunchang , Zhang Yuanyuan , Zhou Wei , Pang Shunpeng 
Published: December 2023

Background
A critical aspect of in silico drug discovery involves the prediction of drug-target affinity (DTA). Conducting wet lab experiments to determine affinity is both expensive and time-consuming, making it necessary to find alternative approaches. In recent years, deep learning has emerged as a promising technique for DTA prediction, leveraging the substantial computational power of modern computers.

Methods
We proposed a novel sequence-based approach, named KC-DTA, for predicting drug-target affinity (DTA). In this approach, we converted the target sequence into two distinct matrices, while representing the molecule compound as a graph. The proposed method utilized k-mers analysis and Cartesian product calculation to capture the interactions and evolutionary information among various residues, enabling the creation of the two matrices for target sequence. For molecule, it was represented by constructing a molecular graph where atoms serve as nodes and chemical bonds serve as edges. Subsequently, the obtained target matrices and molecule graph were utilized as inputs for convolutional neural networks (CNNs) and graph neural networks (GNNs) to extract hidden features, which were further used for the prediction of binding affinity.

Results
In order to evaluate the effectiveness of the proposed method, we conducted several experiments and made a comprehensive comparison with the state-of-the-art approaches using multiple evaluation metrics. The results of our experiments demonstrated that the KC-DTA method achieves high performance in predicting drug-target affinity (DTA). The findings of this research underscore the significance of the KC-DTA method as a valuable tool in the field of in silico drug discovery, offering promising opportunities for accelerating the drug development process. All the data and code are available for access on https://github.com/syc2017/KCDTA.
Updates on Obstructive Sleep Apnea as a Risk Factor for Developing Diabetes: A Systematic Review
Authors: Alamri Fawaz Hassan , Alzu'bi Omar Mowafaq Ahmed , Hamdi Naif Hussain , Alhabib Mohammed Yossef 
Published: December 2023

Background: Examining the relationship between obstructive sleep apnea (OSA), diabetes, and diabetic complications is crucial because OSA and diabetes have become more common in recent years. In particular, we detail the contemporary and longitudinal research and give a thorough evaluation of the classical studies.
Objectives: To assess OSA as a risk factor for developing diabetes, especially type 2 diabetes (T2D), and to compare gender differences.
Methods: PubMed, SCOPUS, Web of Science, and Science Direct were systematically searched for relevant literature. Rayyan QRCI was employed throughout this comprehensive process.
Results and interpretation: We included nine studies with a total of 45530 patients, and 25420 (55.8%) were males. People with OSA are more prone to develop diabetes. This risk was more prevalent in women and had a stronger correlation with obesity and metabolic syndrome. Although gender may have a major impact on this relationship in women, it is unclear whether the correlation between OSA and diabetes in the elderly is different from that in the young and middle-aged. Therefore, it is recommended that future studies examine possible causative relationships between OSA and diabetic complications, how treating OSA influences the emergence of these problems, and how age influences the association between OSA and diabetes. We think that treating these common comorbidities will improve diabetic patients' prognosis and quality of life.
Unraveling Exogenous DNA Processing in Cas4‐Lacking Crispr Systems: A Novel Bypass Pathway Explored
Authors: Su Xinming , Jin Xiaoyu , Wang Zehua , Duan Shiwei 
Published: December 2023

AbstractClustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR‐associated (Cas) systems are widely distributed adaptive immune systems found in prokaryotes. The process involves three main stages: adaptation, expression, and interference. While the adaptation stage has been extensively studied, there is still an incomplete understanding of the mechanisms underlying the capture, trimming, and integration of exogenous DNA. For instance, Cas4, a CRISPR‐Cas protein with endonuclease activity, is responsible for selecting and processing protospacer adjacent motif (PAM) sequences. However, some CRISPR isoforms lack Cas4 activity, relying on other enzymes for adaptive immunity. Recently, Wang et al. presented a novel model of exogenous DNA processing in a type I‐E CRISPR system lacking Cas4 in a Nature article. This model integrates protospacer processing into CRISPR arrays through fine‐tuned synthases formed by DnaQ‐like exonuclease (DEDDh) and Cas1‐Cas2 complexes. Their study introduces a novel model, shedding new light on the evolution of CRISPR adaptive immunity. This perspective comprehensively examines the fundamental process of CRISPR adaptive immunity, detailing both the classical pathway mediated by Cas4 and the alternative pathway mediated by DEDDh. Furthermore, a thorough evaluation of Wang et al.’s work is conducted, highlighting its strengths, weaknesses, and existing research challenges.
A pH‐Responsive Core‐Shell Microneedle Patch with Self‐Monitoring Capability for Local Long‐Lasting Analgesia
Authors: Zhang Aining , Zeng Yongnian , Xiong Bingrui , Jiang Xue , Jin Yinli , Wang Siyuan , Yuan Yikang , Li Wei , Peng Mian 
Published: December 2023

AbstractPostoperative pain, as a common and significant healthcare issue, has always been the focus of attention in the field of anesthesia for its control and treatment. In the present study, a pH‐responsive microneedle (MN) patch is developed for sustained incisional analgesia after surgery. The MN patch has a 10 × 10 MN array within 0.5 cm2 area, and each MN features a complete core‐shell structure, with a needle height of ≈850 µm. Upon application, the MNs fully implant in the skin within 15 min due to the rapid dissolution of the water‐soluble backing layer. The acidic microenvironment at the surgical site (pH 6.8–7.0) interacts with the pH‐reactive medium in the MN shell, triggering the shell rupture. This process enables the smooth release of encapsulated local anesthetic drug (Ropivacaine, Rop) microcrystals, extending local anesthesia duration to over 72 h at a drug concentration of 100 mg mL−1. Additionally, the MN patch intelligently modulates drug release based on the postoperative pain behavior, which correlates with the pH value of the surgical incision microenvironment. This responsive feature results in a prolonged and personalized analgesic effect, addressing the limitations of existing invasive treatments in postoperative pain management.
The Effect of Flow Field on the Initial Formation of Thrombus in Ventricular Assist Devices
Authors: Meng Kuilin , Chen Haosheng , Zheng Xiaobing , Pan Yunfan , Li Yongjian 
Published: December 2023

AbstractThrombosis is the main reason for the failure of ventricular assist devices (VADs). It has been acknowledged that the platelet activation induced by the nonphysiological blood flow leads to the increased thrombotic risk. However, due to the complicated influence of the VADs’ flow field and the difficulty in real‐time in situ observation, the mechanisms and process of thrombus formation in VADs remain unclear. In this work, the process of thrombus formation in VADs in vitro experiments is observed. The thrombus is found to form on the middle of the inlet guide vanes first and it is mainly caused by the immediate activation of platelets induced by the high shear rate of the flow field around the vanes and also affected by the rotation of the impeller. Then, subsequent thrombus is found in the tail of guide vanes and around the axle journal, where the blood flow is stagnated and the platelets are activated by the accumulated bioagonists. These findings clarify that the thrombus formed on the inlet guide vanes and the axle journal are dominated by two different mechanisms. This work provides unique insights into the initial formation of the thrombus on VADs and helps to reduce the thrombotic risk.
Realizing Intrinsically Stretchable Transparent Electrodes via Silver Nanowires/PEDOT:PSS/Polyvinyl Alcohol Composites on the Polyurethane Substrate
Authors: Liu Ying , Xie Chengcheng , Lai Wenbin , Bu Zhonggao , Zhang Guangcong , Xiao Chengyi , Li Weiwei 
Published: December 2023

AbstractStretchable transparent electrodes (STEs) have garnered considerable attention as a fundamental architectural component in the realm of conformable and wearable electronics. This study presents a novel approach utilizing composite inks based on silver nanowires to fabricate STEs, with the incorporation of a conductive polymer as the leveling agent and polyvinyl alcohol as the bonding agent. The resulting STE demonstrates several desirable properties, including low sheet resistance (15.6 Ω sq−1) and surface roughness facilitated by poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate. Moreover, the STE demonstrates strong adhesive strength to various plastic substrates, high transparency (>80%), and remarkable stretchability of up to 100%. Notably, the STE exhibits exceptional thermal stability under thermal stress at 200 °C for extended durations of up to 300 min. As a result, flexible organic solar cells employing this composite STE achieve outstanding performance in terms of high efficiency, robust mechanical durability, and remarkable thermal stability.
Highly Accurate Estimation of Cell Type Abundance in Bulk Tissues Based on Single‐Cell Reference and Domain Adaptive Matching
Authors: Guo Xinyang , Huang Zhaoyang , Ju Fen , Zhao Chenguang , Yu Liang 
Published: December 2023

AbstractAccurately identifies the cellular composition of complex tissues, which is critical for understanding disease pathogenesis, early diagnosis, and prevention. However, current methods for deconvoluting bulk RNA sequencing (RNA‐seq) typically rely on matched single‐cell RNA sequencing (scRNA‐seq) as a reference, which can be limiting due to differences in sequencing distribution and the potential for invalid information from single‐cell references. Hence, a novel computational method named SCROAM is introduced to address these challenges. SCROAM transforms scRNA‐seq and bulk RNA‐seq into a shared feature space, effectively eliminating distributional differences in the latent space. Subsequently, cell‐type‐specific expression matrices are generated from the scRNA‐seq data, facilitating the precise identification of cell types within bulk tissues. The performance of SCROAM is assessed through benchmarking against simulated and real datasets, demonstrating its accuracy and robustness. To further validate SCROAM's performance, single‐cell and bulk RNA‐seq experiments are conducted on mouse spinal cord tissue, with SCROAM applied to identify cell types in bulk tissue. Results indicate that SCROAM is a highly effective tool for identifying similar cell types. An integrated analysis of liver cancer and primary glioblastoma is then performed. Overall, this research offers a novel perspective for delivering precise insights into disease pathogenesis and potential therapeutic strategies.
Stacking Engineering of Heterojunctions in Half‐Metallic Carbon Nitride for Efficient CO2 Photoreduction
Authors: Zhu Xingwang , Xu Hangmin , Liu Jinyuan , Bi Chuanzhou , Tian Jianfeng , Zhong Kang , Wang Bin , Ding Penghui , Wang Xiaozhi , Chu Paul K. , Xu Hui , Ding Jianning 
Published: December 2023

AbstractEnhancing charge separation in semiconductor photocatalysts is a major challenge for efficient artificial photosynthesis. Herein, a compact heterojunction is designed by embedding half‐metallic C(CN)3 (hm‐CN) hydrothermally in BiOBr (BOB) as the backbone. The interface between hm‐CN and BOB is seamless and formed by covalent bonding to facilitate the transmission of photoinduced electrons from BOB to hm‐CN. The transient photocurrents and electrochemical impedance spectra reveal that the modified composite catalyst exhibits a larger electron transfer rate. The photocatalytic activity of hm‐CN/BOB increases significantly as indicated by a CO yield that is about four times higher than that of individual components. Density‐functional theory calculations verify that the heterojunction improves electron transport and decreases the reaction energy barrier, thus promoting the overall photocatalytic CO2 conversion efficiency. The half‐metal nitride coupled semiconductor heterojunctions might have large potential in artificial photosynthesis and related applications.
High Energy Storage and Excellent Thermal Stability in Ternary (1−x)[0.94(Bi0.5Na0.5)TiO3‐0.06BaTiO3]‐xCa(Mg1/3Nb2/3)O3 Lead‐Free Ferroelectric Ceramics
Authors: Kuang Haiyan , He Xiang , Oleg V'yunov , Pang Dongfang 
Published: December 2023

AbstractIn this work, a new type of ternary lead‐free ferroelectric ceramics (1−x)[0.94(Bi0.5Na0.5)TiO3‐0.06BaTiO3]‐xCa(Mg1/3Nb2/3)O3 is synthesized by traditional solid‐state reaction method (x = 0.02, 0.04, 0.06, 0.07, 0.08, 0.10, and 0.15). No phase transition is detected and all ceramics exhibited the perovskite structure consisting of the rhombohedral (R3c) and tetragonal (P4bm) phases. By increasing the Ca(Mg1/3Nb2/3)O3(CMN) content, the average grain size shows a slight change. More specifically, the grain size is 1.00 µm when x < 0.10 and then increases to 1.20 µm in x = 0.10 and 0.15. When x = 0.07, an optimum energy storage performance with recoverable energy density (Wrec) of 4.13 J cm−3 is achieved under an electric field of 340 kV cm−1. At the same time, it exhibits excellent pulse performance at 25 °C, with an effective discharging time (t0.9) of 3.2 ns and a discharge energy density (WD) of 0.61 J cm−3, suggesting a fast charging–discharging rate. In addition, the current density (CD) and power density (PD) are 92.31 A cm−2 and 6.46 MW cm−3, respectively. Overall, the 0.93[0.94(Bi0.5Na0.5)TiO3‐0.06BaTiO3]‐0.07Ca(Mg1/3Nb2/3)O3 ceramics is considered a competitive candidate for the development of high‐energy storage capacitors and pulse‐power devices.
Monolayer Mo1−x−yRexWyS2‐Based Photodetectors Grown by Chemical Vapor Deposition
Authors: Liu Xinke , Zhou Jie , Jiang Zhongwei , Huang Zheng , Li Bo , Ma Zhengweng , Yang Yongkai , Huang Yeying , Zhang Yating , Botcha V. Divakar , Chung Ren‐Jei , Liang Jiehao , Li Xiaohua , Li Yu , He Wei 
Published: December 2023

AbstractThe utilization of alloyed 2D transition metal dichalcogenides (TMDs) has become a pivotal approach for addressing challenges in material applications. The judicious selection of dopant constituents offers a potent means to finely modulate the materials' bandgap, consequently broadening the potential applications of 2D materials. In the context of an investigation, Mo1−x−yRexWyS2 is successfully synthesized using chemical vapor deposition. With a bandgap of 1.33 eV, this material exhibits promising prospects for application in the realm of optoelectronics. This advancement enables the fabrication of the Mo1−x−yRexWyS2 photodetector. The rigorous testing and analysis of photoelectric performance reveal significant improvements in both responsivity and response speed compared to analogous detectors. This accomplishment not only furnishes a novel paradigm for the advancement of photodetectors but also contributes fresh insights to the domain of alloyed 2D TMDs.
Molecular‐Level Regulation Strategies Toward Efficient Charge Separation in Donor−Acceptor Type Conjugated Polymers for Boosted Energy‐Related Photocatalysis
Authors: Wang Lu , Liu Linghao , Li Yan , Xu Yuankang , Nie Wenchao , Cheng Zichang , Zhou Qi , Wang Lin , Fan Zhuangjun 
Published: December 2023

AbstractThe development of efficient photocatalysts for artificial photocatalytic energy conversion is an intriguing strategy. Promisingly, conjugated polymers (CPs) have been actively investigated as alternatives to traditional inorganic semiconductors for photocatalysis due to their molecularly tunable optoelectronic properties, thus providing a great platform for molecular design. Incorporating donor (D) and acceptor (A) units into the backbone of CPs ensures an adequate D−A interface, which is essential for facilitating charge separation. This approach also allows for tunable bandgaps and optoelectronic properties, leading to significant progress in photocatalytic energy conversions in recent years. Here, the fundamentals of D–A type CPs for photocatalysis are initially outlined, followed by advanced experimental methods and density functional theory (DFT) calculations for investigating carrier dynamics. Then, a detailed exposition of the synthetic strategies for D−A type CPs is carried out. Their extensive applications in diverse energy‐related photocatalytic conversions, such as hydrogen evolution, oxygen evolution, overall water splitting, CO2reduction, N2reduction, and H2O2evolution are comprehensively presented. This review provides new and comprehensive insights into the molecular‐level design of D−A type CPs catalysts for boosted photocatalytic energy conversion, which is expected to further advance the development of CPs in photocatalysis.
Triggering Dual Two‐electron Pathway for H2O2 Generation by Multiple [Bi−O]n Interlayers in Ultrathin Bi12O17Cl2 towards Efficient Piezo‐self‐Fenton Catalysis
Authors: Wu Yang , Wang Peifang , Che Huinan , Liu Wei , Tang Chunmei , Ao Yanhui 
Published: December 2023

AbstractPiezo‐self‐Fenton system (PESF) has been emerging as a promising water treatment technology but suffering from unsatisfied H2O2 production efficiency. Herein, we rationally design a Bi12O17Cl2 piezo‐catalyst with multiple [Bi−O]n interlayers towards highly efficient H2O2 production. The introduction of [Bi3O4.25] layers initiates dual two‐electron pathway for H2O2 generation by altering the interlayer properties. It is found that the additional [Bi3O4.25] layers not only enhance the polarization electric field but also serve as active sites for triggering dual pathways of two‐electron O2 reduction and H2O oxidation reaction for H2O2 production. Therefore, the Bi12O17Cl2 exhibits an ultrahigh rate of H2O2 generation (7.76 mM h−1 g−1) in pure water. Based on the adequate H2O2 yield, a PESF was constructed for acetaminophen (ACE) degradation with an apparent rate constant of 0.023 min−1. This work not only presents a potential strategy of tuning the activity of bismuth based piezo‐catalysts but also provides a good example on the construction of highly efficient PESF for environmental remediation by using natural mechanical energy.