bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison Of Aminothermal And Hydrothermal Synthesis Of SAPO-34: Impact Of Synthesis Conditions On Catalyst Characteristics And MTO Catalytic Performance
Authors: Zare Motahare , Nazari Mohadese , Behbahani Reza Mosayebi , Hamidzadeh Marzieh 
Published: July 2023

Abstract

The present study investigates the aminothermal synthesis of SAPO-34 using various templates, including morpholine, diethylamine, triethylamine, triethanolamine, diglycolamine, and diisopropylamine, under static conditions. The catalyst's characteristics were assessed through XRD, SEM, and EDS analyses, and the catalytic behavior of the samples was studied in the MTO reaction. The results indicate that only morpholine leads to the formation of pure SAPO-34, and it is essential to regulate the crystallization time to prevent the formation of SAPO-20. Furthermore, the impact of the order of reactant addition and the intensity of stirring during aging on catalyst characteristics was investigated, and the outcomes were compared to those of the hydrothermally synthesized sample. The findings reveal that the aminothermal method reduces the crystallization time and enhances silica incorporation. However, this technique is recommended for the synthesis using polar templates or in the presence of polar additives. The utilization of non-polar templates such as DEA and TEA resulted in very thick pastes. The catalytic performance of the aminothermal samples was comparable to that of the hydrothermal samples, with a methanol conversion of over 98% and a selectivity to light olefins of approximately 80%. Nevertheless, the impact of preparation, aging, and post-treatment conditions on the hydrogen transfer index and alkanes production was significant.
Multi-Label Classification with Label Clusters
Authors: Gatto Elaine Cecília , Ferrandin Mauri , Cerri Ricardo 
Published: July 2023

Abstract

Multi-Label Classification is the task of simultaneously predicting a set of labels for an instance. Typically, two approaches are used: global, which trains a single classifier to deal with all classes at once, and local, which divides the problem into many binary problems. In both approaches, learning label correlations is still an open issue. In this paper, we propose a method to cluster the label space and find partitions of disjoint correlated labels called hybrid partition, which can be considered in-between the local and global, combining the benefits of both. Our proposal entails: i) clustering the label space based on label correlations; ii) generating and validating the resulting hybrid partitions; iii) selecting the optimal partitions between them; and iv) evaluating their performances. Since we are also interested in analyzing how hybrid partitions are close to the best possible partitions, we compared our results with the ones obtained using partitions found by an oracle, an exhaustive, and a random search. The oracle and exhaustive strategies generate all possible label partitions for a dataset. While the oracle chooses the best one based on the test set alone, the exhaustive choices are based on validation. Experiments on eight well-known multi-label datasets revealed that both our proposal and the random partitions achieve superior or competitive results compared with the others. This indicates that the conventional global and local approaches may not accurately account for label correlations, requiring significant improvements. In this case, clustering the label space can be a solution.
Current and prehistoric human mobility in North Neuquén: an approach using complex networks and stable isotopic mixing models
Authors: D’Abramo Sergio L. , Perez S. Ivan , Gonzalez Paula N. , Gobbo Diego , Moscardi Bruno F. , Bernal Valeria 
Published: July 2023

Abstract

The study of the seasonal mobility and use of space by human populations that inhabited the North of Neuquén (Patagonia, Argentina) over time is a subject of great interest. In this study, we develop a frame of reference for investigating the past seasonal mobility in the region by examining the connectivity between areas of summer and winter camps used by contemporary transhumant herders. Our weighted bipartite network analyses show that the seasonal mobility of current herders exhibits a modular organization with winter and summer camps located at short distances − 7 and 100km–. Then, the applicability of this framework was assessed by analyzing δ18O values obtained from prehistoric human remains from the Curi Leuvú basin and current river water from North Neuquén and South Mendoza to construct an isoscape and infer the geographic origin of human samples. The isotope results agree with the expectations derived from the framework developed here, showing a preferential use of the closer summer camps of the Tromen massif and Domuyo volcano by groups settled in the Curi Leuvú basin, although a large proportion of the δ18O values are consistent with the permanence in the winter area throughout the year. This interpretation is consistent with the expectations derived from the analysis of the mobility of current herders and is compatible with foraging movements of individuals or small groups from the winter areas to the nearest summer areas.
Technology is an Asset: Enhancing EFL Learners’ Vocabulary Knowledge and Listening Comprehension through CALL
Authors: Barjesteh Hamed , Isaee Hossein 
Published: July 2023

Abstract
Technology-enhanced language instruction has attracted researchers’ attention in language teaching and learning in recent decades. Accordingly, the present mixed-methods study is an attempt to investigate the effect of Computer-Assisted Language Learning (CALL) on the EFL learners’ vocabulary development and listening comprehension. In doing so, 60 intermediate EFL learners were conveniently chosen for the quantitative phase of the study, and were divided into one experimental group (n= 30) and one control group (n= 30). The same instructor taught vocabulary tasks and listening skill to both groups, using computer software for the experimental group and the traditional method for the control group for 10 sessions during 5 weeks straight. In order to look into the effect of CALL instruction, quantitative methodology was employed. By analysing the mean scores of the learners’ pre-test and post-test, it was revealed that the incorporation of computer software in English Language Teaching (ELT) classes resulted in learners’ significant improvement in vocabulary learning and listening comprehension. Then, the qualitative phase of the study began and 24 learners from the same experimental group were invited to semi-structured interviews to share their experiences of CALL classes with the researchers. The qualitative analysis of learners’ data manifested two thematic categories: 1) technology is an asset to EFL learners, and 2) technology makes the input more comprehensible. Findings of the study contributed to the conscious use of technology-enhanced instruction through computer and mobile tools to provide an interactive learning atmosphere for the EFL learners, and to help them develop language skills and sub-skills, which seems beneficial for both EFL learners and teachers as ubiquitous technology is becoming an inevitable member of teaching and learning community.
Numerical analysis of heat and mass transfer during beef roasting based on three-dimensional transport model
Authors: Wang Xiaodan , Zheng Jiaxin , Dong Yanli , Jiang Shaoping , Tian Jiaxue , Chang Ping , Liu Dengyong 
Published: July 2023

Abstract

A 3D mathematical model of beef roasting was established, based on the porous media theory. The model considered the transport of liquid water by capillary diffusion and pressure gradient, as well as transport of the vapor by binary diffusion and pressure gradient. A non-equilibrium formulation was used to calculate the evaporation rate. The finite element software COMSOL Multiphysics5.6 was used to solve the coupled partial differential equations. The model was validated by experiment, and good consistency between the predicted and experimental results was obtained. The maximum temperature difference was 4.9℃,and RMSE value both was 3.2℃. The maximum moisture content difference was less than 1.34%, and the RMSE value was 0.91%. Finally, the effects of oven air temperature and thermophysical parameters on heat and mass transfer during beef roasting were analyzed. Compared with single-phase models, the model established in this paper considered the transport of liquid water, vapour, and air inside. The research process was helpful for deeply understanding the mechanism of convective roasting.
An Anoikis-related LncRNA Signature: Integrated Analysis of Immune Infiltration Landscape in Patients with Liver Hepatocellular Carcinoma and Immunotherapy
Authors: Zhou Xianqiang , Zhang Tiansong 
Published: July 2023

Abstract
Liver hepatocellular carcinoma (LIHC) is one of the most common malignancies worldwide and any factor causing metastasis contributes to its poor prognosis. Long non-coding RNA (lncRNA) plays an important role in promoting the poor progression of LIHC. And the occurrence of anoikis resistance is also essential for tumor metastasis. The study aimed to establish an anoikis-related lncRNA (ARlncRNA) signature for LIHC. The raw data were obtained from the TCGA and GeneCards databases. Using the univariate Cox methods (p < 0.05) and the LASSO (10-fold cross-validation) regression analysis, we first identified a lncRNA-associated signature which consisted of AC100812.1, AL365295.1, AC073352.1, ELFN1-AS1, LINC00513, and MIR4435-2HG. Furthermore, we constructed a risk model based on the ARlncRNAs scores and evaluated it from different perspectives, including survival prognosis, clinical characteristics, signaling pathways, levels of immune cell infiltration, and drug sensitivity. The results of validation indicated that the prognostic performance of the lncRNA-associated risk score is excellent and is more suitable for constructing a prognostic model than other clinical features. We finally identified 3 LIHC subtypes and made predictions on their immune infiltration landscape and drug sensitivity. Our study elucidated the mechanisms of LIHC metastasis and its immune infiltration landscape, which was of great significance in expanding our understanding of LIHC progression and facilitating patients’ personalized management.
Pediatric Diabetes Prediction Using Deep Learning
Authors: El-Bashbishy Abeer El-Sayed , El-Bakry Hazem 
Published: July 2023

Abstract
The present study proposes a novel technique for the early prediction of diabetes with the utmost accuracy. Recently, the contemporary methodologies of artificial intelligence and in particular Deep Learning (DL), have proven to be expeditious in the diagnosis of diabetes. The model that is supported has been constructed with the implementation of two hidden layers and a multitude of epochs of Deep Learning Neural Network (DLNN) utilizing the Multi-Layer Perceptron (MLP) technique. We proceeded to meticulously adjust the hyperparameters within the fully automated DLNN architecture, with the aim of optimizing data pre-processing, classification and prediction. This was accomplished by a novel dataset of Mansoura University Children's Hospital Diabetes (MUCHD), which allowed for a more comprehensive evaluation of the system’s performance. The system is validated and tested on a sample of 548 patients, each exhibiting 18 significant features. Various validation metrics were employed to ensure the accuracy and reliability of the results like K-folds, leave-one-subject-out and cross-validation approaches with various statistical measures of accuracy, f-score, precision, sensitivity, specificity and dice similarity coefficient. The high-performance level of the proposed system can help clinicians to accurately diagnose health and different diabetes grades with a remarkable accuracy rate of 99.8%. According to our analysis, the implementation of this method results in a noteworthy increase of 4.15% in overall system performance when compared to the current state-of-the-art. As such, we highly recommend the utilization of this method as a promising tool for forecasting diabetes.
Implications of Dobbs v. Jackson for patients and providers: a scoping review
Authors: Zhu David T. , Zhao Lucy , Alzoubi Tala , Shenin Novera , Baskaran Teerkasha , Tikhonov Julia , Wang Catherine 
Published: July 2023

Abstract
Introduction
On June 24, 2022, the U.S. Supreme Court's decision in Dobbs v. Jackson overturned the right to abortion set forth by Roe v. Wade, granting states the authority to regulate access to abortion services. This has led to widespread bans, threatening patients’ access to, and healthcare providers’ abilities to provide, the full spectrum of reproductive health services. The ruling disproportionately affects marginalized groups, exacerbating existing social disparities in health and is an emerging public health crisis.
Methods
We conducted a scoping review to evaluate the impact of Dobbs on patients’ health outcomes and access to health services, as well as on medical trainees’ and healthcare providers’ ability to access abortion training and provide reproductive health services. The search was based on the PRISMA Extension for Scoping Reviews (PRSIMA-ScR) guidelines. We searched eight bibliographic databases (PubMed, Scopus, Embase, PsycINFO, Google Scholar, Science Direct, JSTOR, and Web of Science) and three preprint servers (medRxiv, bioRxiv, and Europe PMC) using various combinations of keywords related to ‘abortion’ and ‘Dobbs v. Jackson’ on March 22, 2023. Four reviewers independently screened the studies based on pre-specified eligibility criteria and one reviewer performed data extraction for pre-identified themes.
Results
A total of 18 studies met the inclusion criteria. We found that Dobbs led to a surge in demand for contraception, compounded existing travel- and cost-related barriers to access, increased polarizing views on social media (e.g., Twitter), and evoked significant fears and concerns among medical trainees regarding their scope of practice and fears of legal repercussions for offering standard-of-care and related services to patients seeking abortions.
Conclusion
Our study offers valuable insights into the clinical implications of Dobbs on patients’ health outcomes and access to health services, as well as providers’ reproductive health practices.
Sleeping for one week on a temperature-controlled mattress cover improves sleep and cardiovascular recovery
Authors: Moyen Nicole E. , Ediger Tatiana R. , Taylor Kathryn M. , Hancock Erin G. , Holden Lucas D. , Tracy Emma E. , Kay Philip M. , Kotzen Kevin J. , Irick Charles R. , He David D. 
Published: July 2023

Abstract
Body temperature should be tightly regulated for optimal sleep. However, various extrinsic and intrinsic factors can alter body temperature during sleep. We examined how sleep and cardiovascular health metrics were affected by sleeping for one week with vs. without an active temperature-controlled mattress cover (the Eight Sleep Pod). 54 subjects wore a home sleep test device (HST) for four nights each with the Pod on and off (> 300 total HST nights), while also collecting sleeping heart rate (HR) and heart rate variability (HRV). With the Pod on, men’s deep and light sleep increased by 14 and 23 min, respectively, while women’s REM sleep increased by 9 min. Sleeping HR (-2%) and HRV (+ 7%) significantly improved with Pod on. To our knowledge, this is the first study to show that a continuously temperature-regulated bed surface can significantly 1) modify time spent in sleep stages at specific points in the night, 2) improve thermal comfort and perceived sleep quality, and 3) enhance cardiovascular recovery (HR and HRV) during sleep.
Don Juan Basin, Antarctica: A chemically altering environment with martian analog potential
Authors: Foerder Andrew B. , Englert Peter A.J. , Bishop Janice L. , Koeberl Christian , Burton Zachary F.M. , Patel Shital , Gibson Everett K. 
Published: July 2023

AbstractThe McMurdo Dry Valleys of Antarctica provide a testbed for alteration processes on Mars due to the cold, arid, and windy conditions. Analysis of three sediment cores collected from Don Juan Basin, Wright Valley, Antarctica, reveals that surface sediment formation is primarily dominated by physical alteration. Chemical alteration occurs sporadically in this region and is frequently indicated by the accumulation of sulfates and Cl-bearing salts. We investigated the effects of physical and chemical alteration in Don Juan Basin by considering major and trace element abundances in the sediments based on depth and location. Our results indicate inversely related chemical- and physical-alteration gradients with proximity to Don Juan Pond where the current center of the pond represents a more chemically altering environment and the perimeter a more physically altering one. Comparing calculated sulfate abundances for Don Juan Basin cores to rock and soil samples taken by the rover Curiosity at Gale crater, we observed that the core from within Don Juan Pond best matches Curiosity soil sulfate abundances.A new Chemical Index of Alteration equation that adjusts for salt dilution was also applied to the Antarctic cores and Curiosity rocks and soils. Our analysis indicates a significantly higher degree of chemical alteration than originally reported for most Antarctic and martian samples. Our investigation provides evidence for aqueous-based chemical alteration under cold, hyper-arid conditions in Don Juan Basin, Antarctica. Our work also demonstrates the analogous nature of terrestrial microenvironments to similar, local-scale sample sites on Mars, thereby supporting past or present chemical alteration on Mars.
Tourmaline growth in the border and wall zones of the Emmons pegmatite (Maine, U.S.A.): Evidence for disequilibrium crystallization and boundary layer formation
Authors: van der Does Laura M. , Hulsbosch Niels , Kaskes Pim , Elsen Jan , Claeys Philippe , Muchez Philippe , Sirbescu Mona-Liza C. 
Published: July 2023

Abstract
The anisotropic textures, including unidirectional solidification textures and graphic intergrowths, characteristic for pegmatites, are interpreted to result from disequilibrium crystallization at high degrees of undercooling. Experimental studies have revealed the existence of thin boundary layers surrounding the rapidly growing crystals. Here, tourmaline-bearing samples from the outer zones of the Emmons pegmatite (Maine, U.S.A.) are used to examine if a boundary layer can also occur in natural samples. Crystal morphology is linked with geochemistry to understand the evolution of pegmatite melts and to constrain disequilibrium conditions at large degrees of undercooling. Petrographic studies and semiquantitative micro-X-ray fluorescence element mapping were conducted to identify crystal morphology and zonation, complemented with electron microprobe analyses to determine major and minor element compositions and LA-ICP-MS analyses of selected trace elements. Three textural groups were identified: comb-like tourmaline, quartz-tourmaline intergrowths, and radiating tourmaline. The intergrowths are optically coherent and are split into three different morphologies: central, second tier, and skeletal tourmaline. Most tourmaline is schorl, but chemical variation occurs on three different scales: between textural groups, between different morphologies, and intracrystalline. The largest scale geochemical variation is caused by the progressive evolution of the melt as it crystallized from the borders inwards, while the intracrystalline variations are attributed to sector zoning. A model is suggested where the systematic variation of Mg, Mn, and Fe within individual intergrowths is proposed to be the result of crystallization from a boundary layer, rich in water and other fluxing elements (e.g., Li, P, B), formed around the rapidly growing central tourmaline. Here, we show the first examples of boundary layers in natural pegmatites. Furthermore, the results bring into question whether boundary layer tourmaline can be used as a bulk melt indicator in pegmatitic melts.
Recent Advances in Bioactive Peptides as Functional Food for Health
Promotions and Medicinal Applications
Authors: Sreelekshmi Premchanth Jyothi , Devika Vinod , Aiswarya Lakshmi Satheesh , Jeevan Sankar Rajeevan , Ramanunni Kannamathu , Nair Pranav Biju , Sadanandan Sandhya 
Published: July 2023

Abstract:
Bioactive peptides obtained from natural resources are useful due to their ability to prevent
the risk of dreadful conditions such as hypertension, cancers, obesity and cardiovascular diseases.
Proteins from food, plants, animals and dairy products are chemically or enzymatically hydrolyzed
or fermented in the presence of microbes to produce bioactive peptides. Bioactive peptides
are antioxidant, antihypertensive, anti-inflammatory, antiproliferative, antibacterial, anticancer,
antimicrobial and some of them also show multiple bioactivities. Also, bioactive peptides
offer much potential as nutraceuticals or functional food components. This paper reviews recent
progress (2020-2022) on bioactive peptides derived from food, animals, plants, and dairy products.
Emphasis is given to their production, purification, and potential use for health promotions and
medicinal applications.
Pulmonary Tuberculosis in Post COVID-19 Patients: Occurrence and
Clinical Profile
Authors: Vijayalakshmi S. , Akshata J.S. , Chakraborthy Anushree , Karanth Swathi , Ramaswamy Swapna , Chikkavenkatappa Nagaraja 
Published: July 2023

Background:
Tuberculosis continues to be a major public health disease to date. The mortality of this disease, which was reducing till 2019, was reversed in 2020 and 2021, as per the global tuberculosis report 2022. The novel coronavirus disease 2019(COVID-19) pandemic has af-fected tuberculosis management in various aspects. The transient immunosuppression associated with the disease and the treatment modality has been speculated to activate latent tuberculosis infec-tion as well as increase the infection risk with Mycobacterium Tuberculosis.

Objective:
The aim of this study was to analyze the clinical characteristics of post-COVID-19 pul-monary tuberculosis patients.

Methods:
We conducted a retrospective descriptive analysis of post-COVID-19 patients admitted from January 2021 to May 2022 with persistent or new-onset respiratory symptoms. The occurrence of pulmonary tuberculosis in these patients and their clinico- demographic details are summarized.

Results:
About 31(19.4%) of 160 post-COVID-19 patients with respiratory symptoms were diag-nosed to have pulmonary tuberculosis. About 21(67.7%) had comorbidities, of which the predomi-nant was diabetes mellitus in 14(45%) patients, and the majority (85%) had poorly controlled blood sugar levels. None of the patients had a history of contact with a pulmonary tuberculosis patient in the previous 2 years, but 4(13%) patients had a previous history of tuberculosis. Moreover,.66% of cases had a history of moderate and severe COVID-19 disease, and 70% had received systemic cor-ticosteroids and other immunosuppressive drugs like tocilizumab during the COVID-19 illness treatment. More than 50% of the patients had negative smears for acid-fast bacilli and were diag-nosed using rapid molecular methods like CBNAAT and LPA. Drug-resistant tuberculosis was seen in 6(19%) patients. 4(13%) patients died during the hospitalized course of treatment, and the re-maining 27(87%) were discharged with antituberculous treatment, but their final outcome is un-known.

Conclusion:
A high index of suspicion and use of rapid molecular diagnostic methods is indicated in post-COVID-19 patients with respiratory symptoms for early diagnosis of tuberculosis and pre-vention of community transmission. Identification of post-COVID-19 patients with latent tuberculo-sis infection and the feasibility of advocation of tuberculosis preventive therapy in such patients, es-pecially those with other risk factors like diabetes mellitus, need to be considered.