bluuebunny/crossref_metadata_2025_split huggingface dataset:
Opportunities and challenges for gas coproduction from coal measure gas reservoirs with coal‐shale‐tight sandstone layers: A review
Authors: Liang Wei , Wang Jianguo , Leung Chunfai , Goh Sianghuat , Sang Shuxun 
Published: March 2024

AbstractThe extraction of coal measure gas has been shifted toward thin gas reservoirs due to the depletion of medium‐thick gas reservoirs. The coproduction of coalbed gas, shale gas, and tight sandstone gas (called a multisuperposed gas system) is a key low‐cost technology for the enhancement of natural gas production from thin gas reservoirs in coal measure. As an emerging engineering exploitation technology at its early stage of development, gas coproduction confronts various engineering challenges in hydraulic fracturing, bottom‐hole pressure regulation, well network arrangement, and extraction sequence. The current understanding of the opportunities and challenges in the gas coproduction from the multisuperposed gas system is not comprehensive enough. In this case, the previous achievements in the field of gas coproduction should be urgently reviewed to provide valuable guidance and recommendations for further development. This review first discusses the regional and spatial distribution characteristics and possible reservoir combinations of gas reservoirs in coal measure. Then, the basic properties of different reservoirs, engineering challenges, and interlayer interference are comparatively analyzed and discussed. The current simulation models for gas coproduction and potential future research directions are further explored. The results indicate that the coupling effects of reservoir heterogeneity, interwell interference, and geological structure for increasing coproduction prediction accuracy should be included in future simulation models for gas coproduction. Careful investigation is required to explore the mechanisms and their further quantifications on the effects of interlayer interference in gas coproduction. The fractal dimension as a scale can play an important role in the characterization of the gas and water transport in different reservoirs. The machine learning methods have tremendous potential to provide accurate and fast predictions for gas coproduction and interlayer interference.
Prediction of potential distributions of Morina kokonorica and Morina chinensis in China
Authors: Yuan Qing , Zhang Jingjing , Yao Zhiwen , Zhou Quan , Liu Penghui , Liu Wenhui , Liu Hairui 
Published: March 2024

AbstractChanges in the habitats of species can provide insights into the impact of climate change on their habitats. Species in the genus Morina (Morinoideae) are perennial herbaceous plants that are mainly distributed in the South Asian Mountains and Eastern Mediterranean. In China, there are four species and two varieties of this genus distributed across the Yunnan, Sichuan, Qinghai, and Gansu provinces. This study used the optimal MaxEnt model to simulate past, current, and future potentially suitable habitats of Morina kokonorica and Morina chinensis. Seventy data of M. kokonorica occurrences and 3 of M. chinensis were used in the model to predict potentially suitable habitats. The model prediction results indicated that both M. kokonorica and M. chinensis exhibited trends of northward migration to higher latitudes and westward migration along the Himalayas to higher elevations, suggesting that the northern valleys of Hengduan Mountains and northern and eastern parts of the Himalayas were potential refugia for M. kokonorica, and the potential refugia for M. chinensis was located in the eastern part of Qinghai‐Tibet Plateau. The results of this niche analysis showed that the two species had higher levels of interspecific competition and that the environmental adaptability of M. chinensis was stronger. This research could help further understand the response pattern of Morina to environmental change, to understand the adaptability of species to the environment, and promote the protection of species.
Implications of tricuspid regurgitation and right ventricular volume overload in patients with heart failure with preserved ejection fraction
Authors: Kresoja Karl‐Patrik , Rosch Sebastian , Schöber Anne Rebecca , Fengler Karl , Schlotter Florian , Bombace Sara , Sagmeister Paula , von Roeder Maximilian , Kister Tobias , Gutberlet Matthias , Thiele Holger , Rommel Karl‐Philipp , Lurz Philipp 
Published: March 2024

AbstractAimsThe aim of this study was to assess the pathophysiological implications of severe tricuspid regurgitation (TR) in patients with heart failure with preserved ejection fraction (HFpEF) by using tricuspid transcatheter edge‐to‐edge repair (T‐TEER) as a model of right ventricular (RV) volume overload relief.Methods and resultsThis prospective interventional single arm trial (NCT04782908) included patients with invasively diagnosed HFpEF. The following parameters were prospectively assessed before and after T‐TEER: left ventricular (LV) diastolic properties by invasive pressure–volume loop recordings; biventricular time–volume curves and function as well as septal curvature by cardiac magnetic resonance imaging; strain analyses for timing of septal motion. Overall, 20 patients (median age 78, interquartile range [IQR] 72–83 years, 65% female) were included. T‐TEER reduced TR by a median of 2 (of 5) grades (IQR 2–1). T‐TEER increased LV stroke volume and LV end‐diastolic volume (LVEDV) (p < 0.001), without increasing LV end‐diastolic pressure (LVEDP) (p = 0.094), consequently diastolic function improved with a reduction in LVEDP/LVEDV (p = 0.001) and a rightward shift of the end‐diastolic pressure–volume relationship. The increase in LVEDV correlated with a decrease in RV end‐diastolic volume (p < 0.001) and LV transmural pressure increased (p = 0.028). Secondary to a decrease in early RV filling, improvements in early LV filling were observed, correlating with an alleviation of leftwards bowing of the septum (p < 0.01, respectively).ConclusionDiastolic LV properties in patients with HFpEF and severe TR are importantly determined by ventricular interaction in the setting of RV volume overload. T‐TEER reduces RV volume overload and improves biventricular interaction and physiology.
Explainable AI for optimizing oxygen reduction on Pt monolayer core–shell catalysts
Authors: Omidvar Noushin , Wang Shih‐Han , Huang Yang , Pillai Hemanth Somarajan , Athawale Andy , Wang Siwen , Achenie Luke E. K. , Xin Hongliang 
Published: March 2024

AbstractAs a subfield of artificial intelligence (AI), machine learning (ML) has emerged as a versatile tool in accelerating catalytic materials discovery because of its ability to find complex patterns in high‐dimensional data. While the intricacy of cutting‐edge ML models, such as deep learning, makes them powerful, it also renders decision‐making processes challenging to explain. Recent advances in explainable AI technologies, which aim to make the inner workings of ML models understandable to humans, have considerably increased our capacity to gain insights from data. In this study, taking the oxygen reduction reaction (ORR) on {111}‐oriented Pt monolayer core–shell catalysts as an example, we show how the recently developed theory‐infused neural network (TinNet) algorithm enables a rapid search for optimal site motifs with the chemisorption energy of hydroxyl (OH) as a single descriptor, revealing the underlying physical factors that govern the variations in site reactivity. By exploring a broad design space of Pt monolayer core–shell alloys ( candidates) that were generated from thermodynamically stable bulk structures in existing material databases, we identified novel alloy systems along with previously known catalysts in the goldilocks zone of reactivity properties. SHAP (SHapley Additive exPlanations) analysis reveals the important role of adsorbate resonance energies that originate from ‐band interactions in chemical bonding at metal surfaces. Extracting physical insights into surface reactivity with explainable AI opens up new design pathways for optimizing catalytic performance beyond active sites.
Ein modulares hypoplastisches Stoffmodell für granulare Böden unter nicht‐zyklischer Belastung
Authors: Pucker Tim 
Published: March 2024

AbstractIn diesem Artikel wird ein neues hypoplastisches Stoffmodell für granulare Böden vorgestellt, das modular aufgebaut ist. Die modulare Struktur ermöglicht die Anwendung des Stoffmodells unter Einschränkung der wiederzugebenden Bodeneffekte bereits mit sehr wenigen Materialinformationen. Je mehr Materialinformationen vorliegen, desto besser kann das Spannungs‐Dehnungs‐Verhalten des Materials abgebildet werden. Das vorgestellte Stoffmodell wird zur Validierung mit den Ergebnissen einfacher Laborversuche verglichen. Darüber hinaus werden weitere Laborversuche simuliert, um die Leistungsfähigkeit des Stoffmodells zu zeigen.
Tuning the selectivity of CO2 conversion to CO on partially reduced Cu2O/ZnO heterogeneous interface
Authors: Xiang Tianci , Liu Ting , Ouyang Ting , Zhao Shenlong , Liu Zhao‐Qing 
Published: March 2024

AbstractThe development of stable and efficient low‐cost electrocatalysts is conducive to the industrialization of CO2. The synergy effect between the heterogeneous interface of metal/oxide can promote the conversion of CO2. In this work, Cu2O/ZnO heterostructures with partially reduced metal/oxide heterointerfaces in Zn plates (CZZ) have been synthesized for CO2 electroreduction in different cationic solutions (K+ and Cs+). Physical characterizations were used to demonstrate the heterojunction of Cu2O/ZnO and the heterointerfaces of metal/oxide; electrochemical tests were used to illustrate the enhancement of the selectivity of CO2 to CO in different cationic solutions. Faraday efficiency for CO with CZZ as catalyst reaches 70.9% in K+ solution (current density for CO −3.77 mA cm−2 and stability 24 h), and the Faraday efficiency for CO is 55.2% in Cs+ solution (−2.47 mA cm−2 and 21 h). In addition, in situ techniques are used to elucidate possible reaction mechanisms for the conversion of CO2 to CO in K+ and Cs+ solutions.
Ionic liquid‐supported copper‐catalyzed synthesis of 2H‐indazoles under microwave irradiation
Authors: Dasmahapatra Upala , Chanda Kaushik , Maiti Barnali 
Published: March 2024

AbstractFive‐membered indazoles are recognized as a special scaffold having a broad spectrum of pharmacological properties among other heterocyclic compounds. New methods must be developed for the effective synthesis of 2H‐indazole because of the exceptionally high biological activity of compounds containing a 2H‐indazole core. We present the ionic liquid‐supported copper‐catalyzed one‐pot synthesis of 2H‐indazoles under microwave irradiation, continuing our ongoing investigation of the potential uses of bioactive compounds produced in the lab. The use of microwave and ionic liquid‐supported catalyst makes this process greener and more highly energy efficient than the conventional reported methods. Overall, by forming consecutive C‐N and N‐N bonds with the help of an ionic liquid‐supported copper catalyst, we have developed a novel green one‐pot technique for the synthesis of the 2H‐indazole motifs in very high yield.
High‐intensity focused ultrasound: Safety and efficacy of a novel treatment modality for neurofibromatosis type 1 cutaneous neurofibroma
Authors: Peltonen Sirkku , Serup Jørgen , Tang Mimmi , Gillstedt Martin , Kantere Despoina , Neittaanmäki Noora , Holmström Peter , Blakeley Jaishri O. , Rosner Karli , Roberts Joshua , Bove Torsten , Karmisholt Katrine Elisabeth 
Published: March 2024

AbstractBackgroundHigh‐intensity focused ultrasound (HIFU) is widely used in the treatment of deep tumours, but clinical trials on skin tumours are not yet available. Neurofibromatosis Type I (NF1) is among the most common single‐gene inherited conditions worldwide and predisposes to benign and malignant neoplasms of the nervous system. Multiple cutaneous neurofibromas (cNFs) often cause social and functional limitations, itching and pain.ObjectivesThe objective of this study was to investigate the safety, local tolerability and efficacy of a novel method utilizing HIFU for the treatment of cNFs.MethodsA 20 MHz HIFU‐device with an integrated dermoscopic guidance and a handpiece with a focus depth of 2.3 mm below the skin surface was used. Doses of acoustic energy with 0.7 J/dose and pulse duration of 250 ms/dose were manually positioned with 1–2 mm distance between each applied dose. Number of applied doses depended on the size of the cNF. No anaesthetic was applied.ResultsTwenty patients with NF1 were recruited in two centres, and 147 cNFs were treated. There were no serious adverse events. Immediate and transient wheal‐and‐flare reactions occurred at treatment sites and occasionally there was minor epidermal damage which healed in 1–2 weeks. Dyspigmentation occurred in some tumours after 3–9 months but no scarring was observed at 9‐month follow‐up. During treatment, the patient‐reported pain‐score median was 3.5 (range 1–7) on a 0–10‐point scale. Clinical rating of cNFs after 9 months showed 48.9% full or major tumour reduction. The median reduction in tumour thickness measured by ultrasound at 9 months was 0.53 mm (range: –100% to +19%).ConclusionsHIFU treatment is a new noninvasive, rapid and tolerable treatment modality that with high precision targets intradermal lesions. This study demonstrates acceptable safety, local tolerance and efficacy of HIFU for the treatment of cNFs that may further be developed also for other skin tumours.
Early‐onset idiopathic pyoderma gangrenosum
Authors: Roshith Deepika , Rawlingson Christopher , Clayton Timothy H. , Sethuraman Chitra , Arkwright Peter D. 
Published: March 2024

AbstractNeutrophilic dermatoses are autoinflammatory disorders characterised by sterile cutaneous inflammatory neutrophilic infiltrates. This group of diseases is rare in infants and children, where sepsis is the diagnosis of exclusion. This report focuses on the clinical presentation, investigation and management of infants with idiopathic pyoderma gangrenosum. It should allow for a better appreciation of the disease and a more patient‐focused approach to its diagnosis and management.
Kojic acid inhibits pig sperm apoptosis and improves capacitated sperm state during liquid preservation at 17°C
Authors: Hu Bingyan , Zhang Haize , Li Yuqing , Xue Qin , Yang Menghao , Cao Chaoyue , Gao Lei , Chu Guiyan , Cai Rui , Zheng Yi , Pang Weijun 
Published: March 2024

AbstractThe parameters of sperm apoptosis and capacitation during liquid storage at 17°C can indicate the quality of pig sperm and the potential development of early embryos. However, the effect of kojic acid (KA) on semen preservation and its mechanism has not been fully understood. In this study, we discovered that adding KA to the diluent improved the antioxidant capacity of sperm mitochondria, maintained the normal structure of sperm mitochondria, and reduced sperm apoptosis. Western blot analysis revealed that KA prevented the release of Cytochrome c from mitochondria to the cytoplasm, reduced the expression of pro‐apoptosis proteins cleaved Caspase‐3 and cleaved Caspase‐9, and increased the expression of the antiapoptosis protein Bcl‐XL. Furthermore, KA also enhanced the motility parameters, oxidative phosphorylation level, adenosine triphosphate level, and protein tyrosine phosphorylation of capacitated sperm, while preserving the acrosome integrity and plasma membrane integrity of capacitated sperm. In conclusion, this study offers new insights into the molecular mechanism of how KA inhibits porcine sperm apoptosis and improves capacitated sperm parameters. Additionally, it suggests that KA can serve as an alternative to antibiotics.
Feasibility study of micronutrient status and body mass index of newly diagnosed pediatric oncology patients: Research commentary
Authors: Rogers Paul C. , Cheng Jeffrey , Lim Alecia , Potts James E. 
Published: March 2024

AbstractWe conducted a feasibility study to evaluate micronutrients and body mass index (BMI). Fat soluble vitamins A, D, E and trace elements copper (Cu), selenium (Se), and zinc (Zn) levels were evaluated. Weight, height, BMI, and Z‐scores were recorded. Side effects or specific adverse events were documented. No patient had a Z‐score for height, weight, or BMI of less than 2 SD or greater than 2 SD. Ninety percent of patients had one or more micronutrient levels below normal. These results suggest that micronutrient abnormalities are common despite no obvious evidence of malnutrition. Side effects of chemotherapy may be exacerbated by micronutrient depletion.
Single centre experience of the use of emicizumab in previously untreated and minimally treated patients under 18 months of age
Authors: Hassan Eman , Motwani Jayashree 
Published: March 2024

AbstractEmicizumab has revolutionised haemophilia A treatment landscape and significantly reduced treatment burden, particularly in the paediatric population. We conducted a retrospective study, focused on infants aged ≤18 months with severe haemophilia A. The study included 16 patients, with a median age of 8.2 months and median treatment duration of 61.6 weeks. Before commencing emicizumab, six patients were minimally treated with ≤5 exposure days while 10 were previously untreated patients. Notably, all patients had no inhibitors at baseline, and none developed new inhibitors during the study period. Emicizumab was well tolerated, with no observed side effects or major bleeding events.
A creep/recovery model of dry fiber fabric during compaction considering temperature and in‐plane tension
Authors: Si Yanpeng , An Le , Xie Chenyang , Sun Lishuai , Zhao Zhiyong , Li Yujun , Jiang Jianjun 
Published: March 2024

AbstractIn the manufacturing of fiber‐reinforced composite materials, the preforming stage of dry fiber fabric entails compaction operations carried out under constant pressure, a specific preforming temperature, and in‐plane tension. Throughout this process, permanent deformation and creep/recovery behavior are observed in the fabric, correlating with factors such as time, sustained pressure, temperature, and in‐plane tension. Effective control of fiber volume fraction and material composition necessitates a thorough comprehension of these phenomena as well as the capacity to predict them with accuracy. To solve this, a viscoelastic‐plastic model was put forth, which provides an account of the viscous effects on the fabric during its stages of compression and recovery. The proposed model incorporates changed Burgers units to manage time‐dependent deformations and plastic units to address permanent deformations. Through the application of a single set of parameters, the model precisely and comprehensively characterizes through‐thickness creep/recovery behavior of preformed dry fiber fabrics under varying conditions, including creep stress, temperature, and in‐plane tension. To enhance the practical utility of the model, an application has been developed and validated against experimental data conducted under diverse test conditions. The results demonstrate consistency between experimental curves and model‐predicted curves across various compression scenarios.Highlights
A viscoelastic‐plastic model was proposed with a single parameter set.
Stress, temperature, and in‐plane tension all exacerbated creep/recovery.
Model captures temp. and time‐related creep/recovery with in‐plane tension.
The model has been transformed into a practical application tool.
Multifeature‐based online remaining useful life prediction of lithium‐ion batteries in stages using cascaded data‐driven algorithm
Authors: Tao Liujun , Wu Huaiyu , Zheng Xiujuan 
Published: March 2024

AbstractAccurately predicting the remaining useful life (RUL) is crucial for the safety and stability of battery systems. Considering the inherent challenges in directly measuring the capacity of lithium‐ion batteries during operation, this paper proposes an online hybrid cascaded data‐driven prediction algorithm for RUL. Health indicators (HIs) are extracted from the charge–discharge voltage and incremental capacity curves, following which gray correlation analysis is employed to quantitatively assess the relevance between the HIs and batteries' capacities. Redundancy of HIs is eliminated through kernel principal component analysis, which enhancing the efficiency of subsequent analysis. The proposed framework incorporates the sparrow search algorithm‐based kernel extreme learning machine (SSA‐KELM) as the first‐level prediction model, establishing the relationship between HIs and capacities. The bidirectional long short‐term memory (BiLSTM) is utilized as the secondary‐level model, which integrates the preliminary capacity predictions of SSA‐KELM. Finally, experimental validation using battery datasets from NASA and Oxford showed that the method has remarkable generalization ability and superior prediction accuracy. Quantitatively, the RMSE and MAPE of NASA batteries are within 0.03, while the errors of Oxford batteries are within 0.003. The RUL prediction errors of all lithium‐ion batteries are within two cycles.
A chromosome‐level genome of mango exclusively from long‐read sequence data
Authors: Wijesundara Upendra Kumari , Masouleh Ardashir Kharabian , Furtado Agnelo , Dillon Natalie L. , Henry Robert J. 
Published: March 2024

AbstractImprovements in long‐read sequencing techniques have greatly accelerated plant genome sequencing. Current de novo assemblies are routinely achieved by assembling long‐read sequence data into contigs that are assembled to chromosome level by chromatin conformation capture. We report here a chromosome‐level mango genome using only PacBio high‐fidelity (HiFi) long reads. HiFi reads at high coverage (204x) resulted in the assembly of 17 chromosomes, each as a single contig with telomeres at both ends. The remaining three chromosomes were represented each by two contigs, with telomeres at one end and ribosomal repeats at the other end. Analyzing contig ends allowed them to be paired and linked to generate the remaining three complete chromosomes, telomere‐to‐telomere but with ribosomal repeats of uncertain length. The assembled genome was 365 Mb with 100% completeness as assessed by Benchmarking Universal Single‐Copy Orthologs analysis. The haplotypes assembled demonstrated extensive structural differences. This approach using very high genome coverage may be useful for assembling high‐quality genomes for many other plants.
Assessment of seasonal variations in vehicular emissions at traffic intersections in Ibadan using AERMOD dispersion model
Authors: Odediran Emmanuel Toluwalope , Adeniran Jamiu Adetayo , Yusuf Rafiu Olasunkanmi 
Published: March 2024

AbstractAfrican cities grapple with urban air pollution from traffic‐related air pollutants (TRAPs). This study investigated TRAPs concentration variations at traffic intersections (TIs) in Ibadan, Nigeria. AERMOD model was employed to examine TRAPs dispersion at 25 selected TIs, considered as volume sources. Seasonal concentration distributions of six pollutants (CO, NO2, SO2, TVOCs, PM2.5, and PM10) were determined using meteorological, topographical, and pollutants’ emission rates in AERMOD. Estimated peak concentrations of the studied pollutants were generally higher in the rainy season than dry season, surpassing the air quality standards set by World Health Organization (WHO) and Nigeria's National Environmental Standards and Regulations Enforcement Agency (NESREA) during the rainy and dry seasons except SO2 (24 h) concentration which did not exceed the NESREA standard. This study highlighted TIs as significant contributors to air quality degradation in both seasons studied in Ibadan and showed AERMOD's suitability for air dispersion studies.