bluuebunny/crossref_metadata_2025_split huggingface dataset:
ÁGUAS
Authors: Da Silva Ribeiro Viviane 
Published: November 2024

Reflexo de fatores socioambientais e políticos, como o aumento da urbanização, o excesso de consumismo, crescimento populacional, a inadequada utilização da água, há um quadro geral de grave crise hídrica. Percebeu-se a importância e a finitude da qualidade desse bem e a necessidade de se reavaliar e fortalecer sua tutela no contexto brasileiro. O presente artigo objetivou a análise dos principais aspectos da regulamentação da água no ordenamento jurídico brasileiro, no sentido de se repensar a tutela jurídica para governança da água. A Constituição Federal de 1988 inaugurou a proteção à água de forma indireta e foi um marco de evolução considerável, estabelecendo que as águas são bens de domínio público, trazendo um tratamento a partir de bacias hidrográficas. Os normativos preveem a sustentabilidade e o uso racional da água, e gestão descentralizada que envolve o poder público e a sociedade. Porém, há limitações técnicas e axiológicas na política hídrica que implicam em uma gestão, muitas vezes, engessada. Verifica-se pouca melhoria na crise e situação de risco. A metodologia utilizada foi o método dedutivo, com abordagem qualitativa de pesquisa bibliográfica. Conclui-se que novas abordagens e inovações jurídicas trazem a reflexão para a reformulação da governança da água, com mudanças de enfoques, paradigmas e metodologias, e que o reconhecimento da água como direito fundamental pode ser relevante nesse progresso, bem como, a consideração dos direitos supra-humanos. Portanto, são necessários processos interligados a partir de conhecimentos interdisciplinares na gestão pública da água.
Probabilities of reaching required diffusion of granular energy technologies in European countries
Authors: Zielonka Nik , Trutnevyte Evelina 
Published: November 2024

Abstract

To support discussions around the feasibility of the energy transition, we present probabilistic projections of the expected baseline diffusion of solar photovoltaics, wind power, biogases, heat pumps and low-carbon passenger vehicles in 39 European countries for 2023-2050 under current contextual conditions. We then compare the projected capacities against those required for reaching net-zero greenhouse gas emissions by 2050. We create our projections using 72 different variants of diffusion models that we validate using hindcasting (2012-2022) and weigh according to their performance. We find a notable expected growth in solar photovoltaics, heat pumps, and battery electric vehicles in the majority of European countries. However, most countries are unlikely to reach the required capacities for net-zero emissions of wind power and biogases with high confidence, and battery electric vehicles with lower confidence. Probabilities and confidence levels of reaching required capacities of solar photovoltaics and heat pumps vary the most between countries.
WITHDRAWN: Decoupling the Unconventional Catalytic Kinetics of Dual-Field-Regulated Chaotic High-Entropy Ceramics towards Li2S4 Intermediate
Authors: Liu Handing , Zhou Lin , Liu Ji-Xuan , Zhang Xinrui , Yao Yixi , Wang Ruirui , Chen Ziliang , Zhang Guojun 
Published: November 2024

Abstract

The full text of this preprint has been withdrawn by the authors in order to comply with an institutional policy on preprints. Therefore, the authors do not wish this work to be cited as a reference.
Precise Nanochemistry of Spherical Aluminum Oxo Clusters for Accurate Surface Guest Recognition and Release
Authors: Fang Wei-Hui , Shen Si-Hao , Yu Yinghua , Chen Jian-Bing , Zhang Jian 
Published: November 2024

Abstract

Research on the adsorption of nanoparticles faces significant challenges due to their small size, which leads to ambiguous structures and renders traditional analytical methods inadequate for providing clear information. Nanoclusters, however, offer a promising solution to this issue, as their precise structural information and controllable features enable scientists to investigate surface adsorption phenomena and their behavior under various environmental conditions more effectively. In this study, we present a novel "co-encapsulation" synthetic strategy that successfully synthesizes the first spherical aluminum oxo cluster (SAlOC-1). This innovative approach draws inspiration from hydrophobic surfactant molecules found in spherical micelles and thus we select flexible, sterically hindered probenecid ligands as chelating ligands. The distinctive spherical structure of SAlOC-1 maximizes exposure of the surface binding sites, creating an optimal environment for guest inclusion. Notably, SAlOC-1 demonstrates a single crystal to single crystal transformation at room temperature, showcasing its remarkable capacity to accommodate up to 14 different drug-related guests across a broad volume range. These findings illustrate the unique advantages of SAlOC-1 in guest determination, including the ability to overcome limitations associated with liquid-phase host-guest chemistry in traditional discrete systems, ease of operation, and the coexistence of universality and selectivity. The implications of this work extend across numerous fields, including drug delivery, catalysis, and beyond.
Post-pandemic T-cell Responses Cross-recognise Animal Sarbecoviruses with Spillover Potential
Authors: Tan Le Van , Hong Nguyen Thi Thu , Kronsteiner Barbara , Thanh Tran Tan , Zewdie Martha , Ali Mohammad , Anh Nguyen To , Dung Nguyen Thanh , Toan Le Mau , Mongkolsapaya Juthathip , Tan Chee Wah , Nguyen Truong , Thanh Le Kim , Nhu Le Nguyen Truc , Thuy Cao Thu , Vinh Chau Nguyen Van , Thwaites Guy , Klenerman Paul , Dunachie Susanna 
Published: November 2024

Abstract

We studied post-pandemic T-cell responses to five distantly related sarbecoviruses, possessing human ACE2 binding properties (SAR-CoV-1 and 2, pangolin coronavirus GX-P4L, and bat coronaviruses RSYN04 and Khosta2), and MERS-CoV. We used peripheral blood mononuclear cells samples collected before and after vaccination from health care workers in the UK and Vietnam. Strong T-cell responses to all the tested sarbecoviruses were observed in samples collected post vaccination only, with a mixture of CD4+ and CD8+ T-cells responses. There was a strong correlation between the level of T-cell responses and the degree of sequence homology. Very limited cross reactivity was observed for MERS-CoV. Collectively, we showed that post-pandemic T-cell responses cross-recognise human ACE2-dependent sarbecoviruses. The data thus suggest there may be partial protection from the post-pandemic T-cell response landscape against sarbecoviruses that have the potential to cause spillover. Our findings should be used to inform the developments and deployment of countermeasures against sarbecoviruses.
Automated Medical Records Review for Mild Cognitive Impairment and Dementia
Authors: Wei Ruoqi , Buss Stephanie S , Milde Rebecca , Fernandes Marta , Sumsion Daniel , Davis Elijah , Kong Wan-Yee , Xiong Yiwen , Veltink Jet , Rao Samvrit , Westover Tara M. , Petersen Lydia , Turley Niels , Singh Arjun , Das Sudeshna , Junior Valdery Moura , Ghanta Manohar , Gupta Aditya , Kim Jennifer , Lam Alice D. , Stone Katie L. , Mignot Emmanuel , Hwang Dennis , Trotti Lynn Marie , Clifford Gari D. , Katwa Umakanth , Thomas Robert J , Mukerji Shibani , Zafar Sahar F. , Westover M. Brandon , Sun Haoqi 
Published: November 2024

Abstract

Objectives: Unstructured and structured data in electronic health records (EHR) are a rich source of information for research and quality improvement studies. However, extracting accurate information from EHR is labor-intensive. Here we introduce an automated EHR phenotyping model to identify patients with Alzheimer's Disease, related dementias (ADRD), or mild cognitive impairment (MCI).
Methods: We assembled medical notes and associated International Classification of Diseases (ICD) codes and medication prescriptions from 3,626 outpatient adults from two hospitals seen between February 2015 and June 2022. Ground truth annotations regarding the presence vs. absence of a diagnosis of MCI or ADRD were determined through manual chart review. Indicators extracted from notes included the presence of keywords and phrases in unstructured clinical notes, prescriptions of medications associated with MCI/ADRD, and ICD codes associated with MCI/ADRD. We trained a regularized logistic regression model to predict the ground truth annotations. Model performance was evaluated using area under the receiver operating curve (AUROC), area under the precision-recall curve (AUPRC), accuracy, specificity, precision/positive predictive value, recall/sensitivity, and F1 score (harmonic mean of precision and recall).
Results: Thirty percent of patients in the cohort carried diagnoses of MCI/ADRD based on manual review. When evaluated on a held-out test set, the best model using clinical notes, ICDs, and medications, achieved an AUROC of 0.98, an AUPRC of 0.98, an accuracy of 0.93, a sensitivity (recall) of 0.91, a specificity of 0.96, a precision of 0.96, and an F1 score of 0.93 The estimated overall accuracy for patients randomly selected from EHRs was 99.88%.
Conclusion: Automated EHR phenotyping accurately identifies patients with MCI/ADRD based on clinical notes, ICD codes, and medication records. This approach holds potential for large-scale MCI/ADRD research utilizing EHR databases.
Construction of a Dual-Mode Sensing Platform for Ultra-fast and Real-time Detection of Bisulfite in Food and Environmental Systems
Authors: Huang Xiaoyu , Li Jiaxing , Chen Qiutong , Tian Mingyu , Liang Tianyu , Tang Lijun 
Published: November 2024

Abstract

Sulfur dioxide (SO2) is widely used in food processing to extend the shelf life of food. However, excessive intake of SO2 and its derivatives (HSO3- and SO32-) can cause oxidative damage to the body, resulting in several diseases. How to construct probes for rapid real-time detection of HSO3- in the field is beneficial to the developmental needs of practical applications, but it is also very challenging. Here we report a dual-mode fluorescent probe Rh-QL for ultrafast detection of HSO3-, which undergoes a specific 1,4-Michael addition reaction with sulfite to achieve Near-infrared fluorescence turn-on. Probe Rh-QL was able to detect HSO3- within 5 s with a significant color change from violet to green and a strong fluorescence signal at 700 nm. The probe Rh-QL has been used for the detection of HSO3- in real sugar samples and can be prepared as a portable sensing kit for the detection of HSO3- in the environment due to its high efficiency, rapidity and accuracy. In addition, the probe Rh-QL is able to target label Gram-negative bacteria after reacting with HSO3-, which has the potential to identify the type of pathogenic bacteria.
Molecular marker-assisted Gene Pyramiding in Rice for Blast Resistance, Early Maturity, Salinity and Submergence Tolerance
Authors: Haque Md Azadul , Rafii Mohd Y. , Yusoff Martini Mohammad , Ali Nusaibah Syd , Datta Debi , Chowdhary Mst. Farhana Nazneen 
Published: November 2024

Abstract

Rice yield is severely affected by many biotic and abiotic stresses; among them, rice blast diseases, submergence, and salinity stress cause significant yield losses. The present study was carried out with the objective of combining the blast resistance genes Pi2, Pi9, and Piz, the salt resistance gene (QTL Saltol), the submergence resistance gene (QTL Sub1), and the early maturing QTL Hd2, into the single genetic background of Malaysian rice through marker-assisted gene pyramiding (MAGP). The blast-resistant Putra-1 rice variety was crossed with the salt-tolerant Binadhan-10 rice variety, and the submergence-resistant Putra-2 rice variety was crossed with the early-maturing MR297 rice variety. "True" F1s were identified and self-selected using target gene-specific markers. F2 plants, which are homozygous for all the target genes, or QTLs, were identified using PCR-based markers and advanced further through the pedigree method of breeding with selection based on phenotypic traits. At the F3 generation, a set of 28 promising homozygous lines carrying the Pi2, Pi9, Piz, Sub1, Saltol, and Hd2 genes was identified through gene-specific markers for phenotypic evaluation. The 24 advanced lines were screened for their agronomic performance, resistance against blast diseases, and tolerance to salinity and submergence stress. Among them, GPL-183, GPL-286, GPL-224, GPL-188, GPL-219, GPL-284, GPL-300, GPL-232, and GPL-195 advanced lines were selected for blast resistance, submergence tolerance, and salinity tolerance with early maturity characteristics and also recommended for large-scale field evaluation and future breeding schemes to generate various stress-resistant rice varieties.
Safety and pharmacodynamics of intranasal administration of recombinant human interferon alfa-2b as a potential prophylactic for SARS-CoV-2 infection in an at-risk group: a phase I-II clinical trial, open, uncontrolled, in a single-arm (OLIVO Study)
Authors: Hernández-Bernal Francisco , Quintana-Guerra Joel M. , Vázquez-Blomquist Dania , Josué-Díaz Lídice , Urrutia-Pérez Klaudia , Urrutia-Pérez Karen , Rodríguez-Reinoso José L. , Castillo-Miranda Jorge C. , Pacheco-Rodríguez Maritza , Valdés-Prado Iris , Alonso-Valdés Marel , Nodarse-Cuní Hugo , Aguilera-Barreto Ana , Muzio-González Verena L. 
Published: November 2024

Abstract

Type I interferons (IFN α and β) represent a promising potential candidate for the development of a broad-spectrum antiviral therapy in the event of a global viral outbreak. This study aimed to investigate the safety of intranasal administration of recombinant human interferon alpha 2b (Nasalferon) in order to characterize adverse events and to determine the gene expression levels of the pharmacodynamic response marker, 2’,5’-oligoadenylate synthetase 1 (OAS1), in oropharyngeal swabs and peripheral blood. A Phase I-II, open-label, uncontrolled, single-group clinical trial was conducted. The study enrolled 80 subjects over the age of 19 years who were healthcare workers and who provided written informed consent to participate. The product was administered intranasally, twice daily for 10 days at a daily concentration of 2 million international units (MIU). The clinical trial was registered in the Cuban Public Registry of Clinical Trials (RPCEC00000337). The intranasal administration of Nasalferon was found to be safe and well tolerated, with no serious adverse events reported. The incidence of adverse events was 45/80 (56.3%). Nasalferon administration activated the transcript for OAS1 in 97.5% of subjects, with an increase in OAS1 expression in the oropharynx from 24 to 120 hours. The product also activated OAS1 expression in peripheral blood mononuclear cells (PBMC) in 50% of subjects at 120 hours. Intranasal administration of Nasalferon was safe, well tolerated, and activated the transcript for OAS1 in subjects at the time of the study.
Prognostic Significance of Systemic Inflammation Markers in Early-Stage Non-Small Cell Lung Cancer
Authors: Akçam Tevfik İlker , Tekneci Ahmet Kayahan , TURHAN Kutsal , Duman Salih , Çuhatutar Şeyhmus , Özkan Berker , Kaba Erkan , Metin Muzaffer , Cansever Levent , Sezen Celal Buğra , Ceylan Kenan Can , Çıtak Necati , Samancılar Özgür , Bayram Ahmet Sami , Sezer Ebru , Toker Alper , Doğusoy Ilgaz 
Published: November 2024

Abstract

Objective
The present study investigates the prognostic significance of systemic inflammation markers in patients with early-stage non-small cell lung cancer (NSCLC) undergoing surgery.
Materials and Methods
The data of 2,159 patients treated with lung resection for stage I-IIA NSCLC in nine centres between January 2010 and December 2022 were analysed retrospectively. The patients were grouped by preoperative neutrophil-to-lymphocyte ratio(NLR), lymphocyte-to-monocyte ratio(LMR), platelet-to-lymphocyte ratio(PLR) and pan-immune inflammation value(PIV), and compared with a survival analysis.
Results
The mean overall survival (OS) was significantly shorter in the patients with high NLRs than in those with low NLRs (102.7 vs. 109.4 months, p = 0.040). The a low LMR was associated with poorer OS (101 vs. 110.3 months, p < 0.001) and disease-free survival (DFS) (100.2 vs. 108.6 months, p = 0.020). Moreover the complication rate was higher in patients with low LMRs (33.8% vs. 29.4%, p = 0.028). A high PLR was identified as a poor prognostic factor for both OS (104.1 vs. 110.1 months, p = 0.017) and DFS (102.5 vs. 108.7 months, p = 0.021), and higher complication rates than the other group (38.1% vs. 33.1%, p = 0.016). A high PIV was associated with poorer OS (82.0 vs. 87.86 months, p = 0.159) and DFS (101.2 vs. 109.8 months, p = 0.003), and patients with a high PIV experienced longer chest tube durations (6.9 vs. 6.7 days, p = 0.049) and hospital stays (8.6 vs. 8.2 days, p < 0.001).
Conclusion
In our multicenter study, it was determined that NLR, LMR and PLR, as well as PIV value, whose prognostic significance is unknown in NSCLC, were associated with poor survival.
Artificial thermal flow control on thermoelectric device by tuning electrode absorptivity
Authors: Saito Sohei , Yamamoto Ayaha , Lu Yu-Jung , Tanaka Takuo , KUBO Wakana 
Published: November 2024

Abstract

Thermoelectric conversion is a direct conversion of thermal energy to electricity, triggered by the Seebeck effect. Typically, the configuration of a thermoelectric device and the absorptivity of both electrodes exhibit symmetrical optical characteristics between the hot and cold ends, and these factors usually are not expected to affect the direction of the thermal gradient. Here, we first demonstrate the ability to reverse the direction of thermal flow across a thermoelectric element by adjusting the absorptivity of electrodes at both ends in an environment with uniform thermal radiation. For example, when the metamaterial or fullerene electrodes were attached to one end a p-type thermoelectric element, they generated output voltages of 19.5 µV and − 4.0 µV, respectively, in an environment with uniform thermal radiation at 364 K. Using this insight, we demonstrated power generation on a π-shaped thermoelectric device consisting only of p-type thermoelectric legs by designing the absorptivity of the electrode at each end. Our findings will provide valuable insights as a device guideline for conventional thermoelectric devices.
Chemical characterization of heavy minerals and stream sediment of Betare-Oya gold district Neoproterozoic Fold Belt, Eastern Cameroon: implications for gold mineralization
Authors: Jean-Lavenir Ndema Mbongué , Ngomba Mbua Elvis , Junior Emmanuel Eseya Mengu 
Published: November 2024

Abstract

Stream sediment geochemical survey was carried out in Boyo situated in the Betare-Oya gold district. The study was aim to determine the primary source of gold, mineralogy of heavy mineral concentrate, provenance, weathering conditions and tectonic setting. Samples were collected by panning and analyzed using inductively couple plasma mass spectrometry method. Heavy minerals present in concentrates include gold, zircon, magnetite. The gold grade ranges from 15–37 and could be overestimated due to the presence of nuggets. Gold grains vary in size from 0.125-1 mm and exhibit sub-angular and angular shape indicating they were proximal to the source. Sediments shown enrichment in Au (8440- >10000 ppb), Mn (250–350 ppm), Hg (40–560 ppm), Th (186- >200 ppm), Y (67.5–117 ppm), large ion lithophile elements, rare earth element (REE: 1684.9-2382.6 ppm) and depletion in Fe2O3 (1.08–2.25 wt.%), Nb (0.4–1.6 ppm), Mo (0.03–0.21 ppm), high field strength elements. REE patterns show LREE enrichment (LaN/SmN = 1.06–1.24) relative to HREE (GdN/YbN = 2.20–9.29) and negative Eu anomaly (Eu/Eu* = 0.24–0.31). Au may be linked to sulphide minerals and the sulphidation could be the dominant mechanism of gold ore deposition. The association Bi-Pb-Sb-Sn-Zn are interpreted as mineralization factor and Bi, Pb, Sb, Sn, Zn are regarded as pathfinders for Au. The sediments were sourced intermediate igneous provenance, the detrital fraction and the source of contamination resulted from granitic sources. Sediments were immature, undergone intense weathering, transported in a short distance and were deposited in a passive margin consistent with rift environments.
Segmenting ancient cemetery under forests using synthesized LiDAR-derived data and deep convolutional neural network
Authors: Yang Hong 
Published: November 2024

Abstract

The investigation and identification of spatial distribution of archaeological remains is full of challenges in forested areas, deep learning (DL) methods and light-detection and ranging (LiDAR) make it possible to quickly and automatically identify remains under vegetation cover. This study applied a semantic segmentation model based on convolutional neural networks and LiDAR-derived data to segment an ancient cemetery in a forested area in Baling Mountain and Jishan Mountain in Jingzhou City, Hubei Province, China. We proposed to synthesize multiple LiDAR-derived data into three-channel and five-channel data and perform data augmentation. Moreover, the channel attention (CA) mechanism was used to improve the U-Net and TransUNet models. Finally, segmentation of cemeteries in two regions was implemented and model migration was applied to new geographic regions. The results indicated that it has higher precision using five-channel raster data synthesized with elevation (DEM), slope, hillshade, roughness, and curvature than one or three derived data synthesized raster data in the test dataset. For the U-Net model, the intersection over union (IoU), precision, and recall reached 0.885, 0.921, and 0.924, respectively, for the TransUNet model, the IoU, precision, and recall reached 0.901, 0.921, and 0.944, respectively, successfully segmenting the unknown region cemetery. In addition, the migration of the model also indicated that the model trained by synthesizing data has better portability. In conclusion, our results contribute to the current discussion on techniques for automatically extracting historical terrain features using the DL method and LiDAR-derived data, and can also provide useful guidance for identifying archaeological remains in vegetation covered areas.
Coupled Study on the Uniformity and Dimensional Accuracy of 316L Microchannel Roll Forming
Authors: Zhao Fuqiang , Liu Zhewen , Wang Dong , Huang Qingxue , Chen Shuaifeng 
Published: November 2024

Abstract

The forming quality of flow channels on metal bipolar plates is a key factor affecting the performance of hydrogen fuel cells. Roll forming, as an emerging process for producing plates, offers advantages of continuous production and high efficiency, showing great potential. Exploring the uniformity and dimensional accuracy of roll-formed bipolar plate channels is crucial for enhancing forming quality and achieving mass production. Therefore, this paper focuses on studying the roll forming of microchannels on 0.1mm thick 316L. It establishes criteria of channel depth, inclination, wall thickness, and residual stress uniformity, alongside depth and inclination dimensional accuracy. The study analyzes the effects of different roll mold corner radii and side gaps on the channel's uniformity and dimensional accuracy. It was found that increasing the mold corner radius or side gap improves the uniformity of channel depth, inclination, thickness, and residual stress, but lowers the dimensional accuracy of depth and inclination. Furthermore, addressing the trade-off between channel uniformity and dimensional accuracy, a method to balance both is proposed. This method first uses a research approach combining numerical simulation and experimentation, employing a combined weighting method to calculate the composite weighting coefficient of uniformity and dimensional accuracy. Next, based on cooperative game theory, it solves the design variable values optimizing target performance by using a benefit function aimed at both uniformity and dimensional accuracy. This involves a game about different mold corner radii and side gaps to select the optimal ones, ultimately achieving high uniformity and high dimensional accuracy of the flow channels.