bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermal Magnetic Properties Variation of Rock During In-Situ Combustion Process
Authors: Kuzina D. M. , Nurgaliev D. K. , Yuan C. , Morozov V. P. , Varfolomeev M. A. , Utemov E. V. , Chen L. , Pan J. J. , Pu W. F. 
Published: January 2023

Summary
In-situ combustion (ISC) has been proven as a promising technique for the extraction of heavy oils. It has been used in oil fields since the 1920s; however, it is still not as widely used as steam injection. One of the difficulties limiting its wide application is monitoring and controlling the movement of the combustion front. This work is aimed at studying the change in the properties of rock during the ISC process, which is expected to be used for developing an effective monitoring method of the combustion front movement.
Rock samples before and after the ISC process were obtained from the Xinjiang Oil field (China) where an ISC industrial pilot has been implemented. In the temperature range of lower than 500℃, the minerals may only alter slightly. Therefore, it is difficult to determine whether the rock was heated or not during the ISC processes using general mineralogical or geochemical methods, for example, X-ray diffraction. This work takes a comprehensive approach to study the variation of rock properties. Magnetic analysis was chosen as the primary method since a very tiny change in the mineral composition during heating leads to profound changes in the magnetic properties. We analyzed magnetic susceptibility (MS), natural remanent magnetization (NRM), hysteresis parameters and thermomagnetic data. In addition, we performed differential thermomagnetic analysis (DTMA) for tracing magnetic minerals based on their Curie temperatures as well as for monitoring transformations in magnetic minerals during heating. Simultaneously, X-ray diffractometer (XRD), optical microscope for thin-sections, and organic content measurements were used as assistive methods to get a comprehensive evaluation on the variation of rock.
We found that there is a big difference in magnetic minerals between the initial samples (not subjected to the ISC process) and burned samples from different wells and depths in the ISC pilot. Several magnetic clusters with different coercive force and domain structure were found in these samples. Based on the difference in magnetic properties, we found that the burned samples were heated to different temperatures during the ISC process. In addition, for some rock samples, the heating temperature during the ISC process was determined, and an analysis was made of the propagation of the combustion front.
The thermal magnetic properties variation of rock during the ISC process is obvious, which makes it promising to be used for monitoring the propagation direction of the combustion front. Theoretical calculations of magnetic anomalies that occur due to changes in the magnetic properties of rocks during the ISC process indicate the possibility of the detection of such anomalies from the Earth’s surface through high-precision magnetic surveys. The findings in this work provide a theoretical base and direction for developing combustion front monitoring technologies.
Wrist-ankle acupuncture for the treatment of acute orthopedic pain after surgery: a meta-analysis
Authors: Mengli Chen , Yiyin Xu , Xiuzhen Fu , Jiewei Xie , Xuewei Cao , Yisheng Xu 
Published: January 2023

Abstract
Background：Wrist-ankle acupuncture (WAA) have been reported in treatment of acute pain in orthopedic surgery. However, the effects of WAA on acute pain were controversial in the current studies. Therefore, the purpose of this meta-analysis was to critically evaluate the effects of WAA on acute pain in orthopedic surgery.
Methods: Several digital databases were searched from the inception of databases to July 2021, including CNKI, VIP, Wanfang, CBM, Pubmed, Cochrane Central Register of Controlled Trials, Embase, Medline and Web of Science Core Collection. The risk of bias was evaluated using the cocharne collaboration criteria. The primary outcome indicators included pain score, the dosage of pain killer, analgesia satisfaction, and adverse reaction incidence. All analyses were performed with Review Manager 5.4.1.
Result: A total 10 studies with 725 patients with orthopedic surgery (intervention group: 361, control group: 364) were included in this meta-analysis. The results demonstrated that the pain score of intervention group were lower than the control group, and the difference was statistically significant [MD= -0.29，95%CI(-0.37,-0.21),P<0.0001]. Compared with the control group, the patient in intervention group used smaller amounts of pain killer [MD= -0.16，95%CI(-0.30,-0.02),P=0.02]. the satisfaction of patients on pain relief was also higher in intervention group, and the difference was statistically [OR= 0.25，95%CI(0.15,0.41) , P<0.0001].
Conclusion: WAA has a certain effect on acute pain in orthopedic surgery, and the effect of WAA combined with other therapies is better than that not using WAA therapy.
Identification of Distinct Clinical Phenotypes of Cardiogenic Shock Using Machine Learning Consensus Clustering Approach
Authors: Wang Li , Zhang Yufeng , Yao Renqi , Chen Kai , Xu Qiumeng , Huang Renhong , Mao Zhiguo , Yu Yue 
Published: January 2023

AbstractBackground Cardiogenic shock (CS) is a complex state with many underlying causes and associated outcomes. It is still difficult to differentiate between various CS phenotypes. We investigated if the CS phenotypes with distinctive clinical profiles and prognoses might be found using the machine learning (ML) consensus clustering approach. Methods The current study included patients who were diagnosed with CS at the time of admission from the electronic ICU (eICU) Collaborative Research Database. Among 21,925 patients with CS, an unsupervised ML consensus clustering analysis was conducted. The optimal number of clusters was identified by means of the consensus matrix (CM) heat map, cumulative distribution function (CDF), cluster-consensus plots, and the proportion of ambiguously clustered pairs (PAC) analysis. We calculated the standardized mean difference (SMD) of each variable and used the cutoff of ± 0.3 to identify each cluster’s key features. We examined the relationship between the phenotypes and several clinical endpoints utilizing logistic regression (LR) analysis. Results The consensus cluster analysis identified two clusters (Cluster 1:n = 9,848; Cluster 2:n = 12,077). The key features of patients in Cluster 1, compared with Cluster 2, included: lower blood pressure, lower eGFR (estimated glomerular filtration rate), higher BUN (blood urea nitrogen), higher creatinine, lower albumin, higher potassium, lower bicarbonate, lower red blood cell (RBC), higher red blood cell distribution width (RDW), higher SOFA score, higher APS III score, and higher APACHE IV score on admission. The results of LR analysis showed that the Cluster 2 was associated with lower in-hospital mortality (odds ratio [OR]: 0.374; 95% confidence interval [CI]: 0.347–0.402;P < 0.001), ICU mortality (OR: 0.349; 95% CI: 0.318–0.382;P < 0.001), and the incidence of acute kidney injury (AKI) after admission (OR: 0.478; 95% CI: 0.452–0.505;P < 0.001). Conclusions ML consensus clustering analysis synthesized the pattern of clinical and laboratory data to reveal distinct CS phenotypes with different clinical outcomes.
Leukocyte gene expression predicts human temporal lobe epilepsy seizure frequency
Authors: Sprissler Ryan , Hammer Michael , Labiner David , Joshi Neil , Weinand Maritin 
Published: January 2023

Abstract
Introduction: This study was performed to test the hypothesis that systemic leukocyte gene expression has prognostic value differentiating low from high seizure frequency refractory temporal lobe epilepsy (TLE). Methods: A consecutive series of sixteen patients with refractory temporal lobe epilepsy was studied. Based on a median baseline seizure frequency of 2.0 seizures per month, low versus high seizure frequency was defined as < 2 seizures/month and > 2 seizures/month, respectively. Systemic leukocyte gene expression was analyzed for prognostic value for TLE seizure frequency. All differentially expressed genes were analyzed, with Ingenuity® Pathway Analysis (IPA®) and Reactome, to identify leukocyte gene expression and biological pathways with prognostic value for seizure frequency. Results: There were ten males and six females with a mean age of 39.4 years (range: 16 to 62 years, standard error of mean: 3.6 years). There were five patients in the high and eleven patients in the low seizure frequency cohorts, respectively. Based on a threshold of 2-fold change (p < 0.001, FC > 2.0, FDR < 0.05) and expression within at least two pathways from both Reactome and Ingenuity® Pathway Analysis (IPA®), 13 differentially expressed leukocyte genes were identified which were all over-expressed in the low when compared to the high seizure frequency groups, including NCF2, HMOX1, RHOB, FCGR2A, PRKCD, RAC2, TLR1, CHP1, TNFRSF1A, IFNGR1, LYN, MYD88, and CASP1. Similar analysis identified four differentially expressed genes which were all over-expressed in the high when compared to the low seizure frequency groups, including AK1, F2R, GNB5, and TYMS. Conclusions: Low and high seizure frequency TLE are predicted by the respective upregulation and downregulation of specific leukocyte genes involved in canonical pathways of neuroinflammation, oxidative stress and lipid peroxidation, GABA (γ-aminobutyric acid) inhibition, and AMPA and NMDA receptor signaling. Furthermore, high seizure frequency-TLE is distinguished prognostically from low seizure frequency-TLE by differentially increased specific leukocyte gene expression involved in GABA inhibition and NMDA receptor signaling. High and low seizure frequency patients appear to represent two mechanistically different forms of temporal lobe epilepsy based on leukocyte gene expression.
In Vitro Evaluation of Anticoagulant Therapy Management when Urgent Percutaneous Coronary Intervention is Required in Rivaroxaban-Treated Patients
Authors: MELEK Mehmet , ARI Hasan , ARI Selma , CILGIN Mehmet Can , YARAR Mücahit , HUYSAL Kagan , AGCA Fahriye VATANSEVER , BOZAT Tahsin 
Published: January 2023

Abstract
Objectives: We investigated in vitro the management of intraprocedural anticoagulation in patients requiring immediate percutaneous coronary intervention (PCI) while using regular direct oral anticoagulants (DOACs).
Materials and methods: Twenty-five patients taking 20mg of rivaroxaban once daily comprised the study group, while five healthy volunteers included the control group. In the study group, a beginning (24 hours after the last rivaroxaban dose) examination was performed. Then, the effects of basal and four different anticoagulant doses (50 IU/kg unfractionated heparin (UFH), 100 IU/kg UFH, 0.5 mg/kg enoxaparin, and 1 mg/kg enoxaparin) on coagulation parameters were investigated at the 4th and 12th hours following rivaroxaban intake. The effects of four different anticoagulant doses were evaluated in the control group. The anticoagulant activity was assessed mainly by anti-factor Xa (anti-Xa) levels.
Results: Beginning anti-Xa levels were significantly higher in the study group than in the control group (0.69±0.77 IU/mL vs. 0.20±0.14 IU/mL; p <0.05). The study group's 4th and 12th-hour anti-Xa levels were significantly higher than the beginning level (1.96±1.35 IU/mL vs. 0.69±0.77 IU/mL; p <0.001 and 0.94±1.21 IU/mL vs. 0.69±0.77 IU/mL; p <0.05, respectively). Anti-Xa levels increased significantly in the study group with the addition of UFH and enoxaparin doses at the 4th and 12th hour than the beginning (p <0.001 at all doses). The safest anti-Xa level (from 0.94±1.21 IU/mL to 2.00±1.02 IU/mL) was achieved 12 hours after rivaroxaban with 0.5mg/kg enoxaparin.
Conclusion: Anticoagulant activity was sufficient for urgent PCI at the 4th hour after rivaroxaban treatment, and additional anticoagulant administration may not be required at this time. Twelve hours after taking rivaroxaban, administering 0.5mg/kg of enoxaparin may provide adequate and safe anticoagulant activity for immediate PCI. This experimental study result should confirm with clinical trials (NCT05541757).
Adaptation of a model for integration of interventions for alcohol use disorder in primary health care in Tanzania
Authors: Mushi Dorothy , Hanlon Charlotte , Francis Joel M , Candida Moshiro , Demissie Mekdes , Teferra Solomon 
Published: January 2023

Abstract
Integrating evidence-based interventions for people with alcohol use disorder (AUD) into primary healthcare (PHC) can increase access to care and reduce morbidity, mortality, and population burden. However, for the integration to be feasible, acceptable, and sustainable, there is a need to contextualize the approach and involve stakeholders. Therefore, this study aimed to use participatory methods to adapt a model for integrating AUD interventions in Tanzania’s PHC system at the community, facility, and organizational levels.
Methods
A mixed-methods study was used. Participants include key mental health stakeholders, experts, and PHC providers. We conducted a situational analysis to investigate opportunities and constraints in the existing systems of care, utilizing data available from the routine collection and/or in the public domain; individual semi-structured interviews (n=11), and focus group discussions (3 groups; total n=26 participants) and a series of theory of change (ToC) workshops (n=32). Data from the three methods were triangulated to develop the adapted model for integrating interventions for AUD in PHC.
Results
The consensus long-term outcome of the Theory of Change map is to improve the physical, mental health, and social well-being of people treated for AUD to increase productivity in the community. Necessaryinterventions for the community were identified as awareness-raising, improving access to care, community engagement, and resource mobilization. Facility interventions included capacity building to strengthen staff competencies and supportive supervision. Organizational level interventions included strengthening infrastructure for the mental health service delivery system and financing. Identified facilitators for implementing the intervention packages were leveraging existing health system resources and recognizing that mental health was part of PHC. Potential barriers included an under-resourced health system, reflected in an inadequate number of HCPs in the community and facility and inadequate prioritization of mental health care.
Conclusions
The intervention packages for an adapted model for integrating AUD interventions in PHC in Tanzania have been identified, as well as their potential barriers and facilitators to the feasibility of implementation. There is a need to pilot the adapted model to inform plans for wider implementation or scaling up.
Diabetes mellitus affects the treatment outcomes of drug-resistant tuberculosis: A systematic review and meta-analysis
Authors: Xu Guisheng , Hu Xiaojiang , Lian Yanshu , Li Xiuting 
Published: January 2023

Abstract
Background
Both tuberculosis (TB) and diabetes mellitus (DM) are major public health problems threatening global health. Drug-resistant TB (DR-TB) and impaired immunity caused by DM make controlling TB more difficult.
Methods
We searched PubMed, Excerpta Medica Database (EMBASE), Web of Science, ScienceDirect and Cochrance Library for literature published in English until July 2022. Papers were limited to those reporting the association between DM and treatment outcomes among DR-TB and multidrug-resistant TB (MDR-TB) patients. The strength of association was presented as odds ratios (ORs) and their 95% confidence intervals (CIs) using the fixed-effects or random-effects models. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were followed for the analysis.
Results
A total of twenty-five studies involving 16,905 DR-TB patients were included in the meta-analysis, of which 10,124 (59.88%) participants were MDR-TB patients, and 1,952 (11.54%) had DM history. In DR-TB patients, the pooled OR was 1.56 (95% Cl: 1.24–1.96) for unsuccessful outcomes, 0.64 (95% Cl: 0.44–0.94) for cured treatment outcomes, 0.63 (95% Cl: 0.46–0.86) for completed treatment, and 1.28 (95% Cl: 1.03–1.58) for treatment failure. Among MDR-TB patients, the pooled OR was 1.57 (95% Cl: 1.20–2.04) for unsuccessful treatment outcomes, 0.55 (95% Cl: 0.35–0.87) for cured treatment outcomes, 0.66 (95% Cl: 0.46–0.93) for completed treatment and 1.37 (95% Cl: 1.08–1.75) for treatment failure.
Conclusion
DM is a risk factor for adverse outcomes of DR-TB or MDR-TB patients. Controlling hyperglycemia may contribute to the favourable prognosis of TB.
Efficacy of Cassava Starch in the Design of Drug Delivery Platforms: From Roots to Polymers
Authors: Das Sanjoy , Bhattacharya Bireswar , Jamatia Taison , Sinha Bibek , Das Biplajit , Mazumder Rishav , Daule Ichu , Paul Kishan , Roy Ankita , Choudhury Ankita , Sadhukhan Pinkan , Sarmah Dibyojyoti , Bhargab Dhritiman , Jana Bani Kumar , Bishwas Nayan Ranjan Ghose , Tayeng Dubom , Yadav Pradip Kumar 
Published: January 2023

Abstract
Starch has cropped up as a new attractive biopolymer for use in pharmaceutical applications, owing to its distinctive physical, chemical and functional properties. This biopolymer has a number of potential advantages like being biocompatible, low cost, easily isolated from plant sources and non-toxic in nature. In the field of pharmaceutical science, starch is used as a raw material for the development of various drug delivery platforms. Generally, cassava starch (tapioca) is obtained from swollen roots of the perennial shrub Manihot esculenta and it contains a low amount of amylose in contrast to other varieties of starches. Because of this reason, cassava starch exhibits various prime benefits including little gelatinization temperature, higher swelling power and produces relatively high viscosity paste, making it preferable as an excipient for pharmaceutical applications. However, cassava starches in their native form are offensive for many applications due to their inefficiency to withstand various processing requirements like high temperature and diverse pH, but their use is enhanced by starch modification. These functional starches have demonstrated outstanding potential as primary excipients in a number of pharmaceutical formulations. In this article, we discuss the potential application of cassava starches in the pharmaceutical and biomedical fields along with the toxicity assessment of modified cassava starches.
Therapeutic potential of oxymatrine in impeding the cardiomyopathy in the STZ- nicotinamide induced diabetes through SIRT1/Nrf2 signaling activation
Authors: Seksaria Sanket , Mehan Sidharth , Dutta Bhaskar Jyoti , Gupta Ghanshyam Das , Singh Amrita 
Published: January 2023

Abstract
Aims
Diabetes mellitus increases the risk of heart failure independently of underlying hypertention and ischemic heart disease, leads to the cardiomyopathy. Molecular mechanism underlying these pathological changes in the diabetic cardiomyopathy (DCM) are most likely to multifactorial, but clearer pathogenesis is partially understood. Literature showed that insulin resistance was associated with the dysfunction of SIRT1, TGF-β1 protein expression and pro-apoptotic pathways. In the current research, we aimed to investigate the ameliorative effect of oxymatrine (OMT) against streptozotocin-nicotinamide (STZ-NA) induced DCM in the experimental animals.
Method
Male wistar rats (120–150 g) were pre-treated with the NA (110 mg/kg, i.p) followed by administration of STZ (60 mg/kg, i.p) after 15 min. After observed the onset of cardiomyopathy evaluated by increased diastolic dysfunction followed by systolic, two weeks later of STZ-NA administration, animals were divided in to various treatment groups. Diabetic animals were treated with pioglitazone (10mg/kg, p.o) and OMT(25, 100, 150 mg/kg, i.p) for 3 weeks. Various biochemical parameters were checked after completion of the experimental protocol.
Key findings:
Diabetic animals showed hyperglycemia, impaired glucose tolerance and lipid profile. In addition, increased blood pressure, serum LDH, CK-MB levels, and abnormal hemodynamic. Apart from this, pro-inflammatory cytokines, apoptotic markers, TGF-β1 activity were increased and SIRT1 activity was decreased in thediabetic animals. While, treatment with the OMT, restored all these abnormalities. Additionally, OMT treatment dose dependently restored the anti-oxidants, pro-inflammatory, and apoptotic marker. On the basis of these observations, we concluded that OMT can protect diabetic rats from insulin resistance through the regulation of SIRT1/Nrf2, TGF-β1 and pro-apoptotic pathways.
Identification of line-source transfer mobility and force density by ground acceleration measurements
Authors: Tao Zi-Yu , Wang Yi-Min , He Wei , Luo Yun-Ke 
Published: January 2023

Abstract
Ground-borne vibration caused by railway traffic has been a research concern due to its possible side effects on nearby residences. The force density and line-source mobility can effectively characterize the generation and transmission of train-induced vibrations, respectively. This research proposed a frequency-domain method for identifying the line-source mobility and force density using measured vibrations at the ground surface. It was achieved by minimizing the difference of force densities formulated using measurements at two different locations, in which the genetic algorithm was adopted for solving the optimization problem. The proposed method was later applied to and validated by a case study at Shenzhen Metro in China, where a total of seven fixed-point hammer impacts with 3.3 m equal intervals were used to represent the vibration excitation from one vehicle. The fixed-point loads' assumption was validated by comparing the identifications with the predictions based on the train-track coupled dynamic model and theoretical derivation. Causes for different dominant frequencies can be traced by separating the dynamic characteristics of vibration excitation and transmission. It was found in the case study that at a location 3 m away from the track, the peak at 50 Hz was caused by excitations, while that at 63 Hz was attributed to transmission efficiency related to the soil properties. Finally, the identified line-source transfer mobility and force density levels were applied to the forward problem of making predictions. The predicted ground vibrations at different locations were compared to field measurements, with good agreement, which experimentally validated the identification method. The identification results of the case study can be employed by similar railway systems as a good reference.
ATAT: Astronomical Transformer for time series And Tabular data
Authors: Astorga Nicolás , Reyes Ignacio , Cabrera Guillermo , Förster Francisco , Huijse Pablo , Arredondo Javier , Moreno-Cartagena Daniel , Muñoz-Arancibia Alejandra , Bayo Amelia , Catelan Marcio , Estevez Pablo , Sanchez-Saez Paula , Álvarez Alex , Castellanos Pablo , Gallardo Pedro , Moya Alberto , Rodriguez-Mancini Diego 
Published: January 2023

Abstract
We present ATAT, the Astronomical Transformer for time series And Tabular data, a classification model that receives as input both light-curves and tabular data from astronomical sources. ATAT consists of a light-curve Transformer with a new time modulation that encodes the time of each observation, and a feature Transformer that uses a Quantile Feature Tokenizer. This model was conceived by the ALeRCE alert broker in the context of the recent Extended LSST Astronomical Time-Series Classification Challenge (ELAsTiCC). ATAT outperforms previous decision tree-based ensemble approaches in terms of classification when trained over the ELAsTiCC dataset. Importantly, some of its variants do not require human-engineered features, with significantly reduced inference computational times (400x faster). The use of Transformer multimodal architectures, combining light-curve and tabular data, opens new possibilities for classifying alerts from a new generation of large etendue telescopes, such as the Vera C. Rubin Observatory, in real-world brokering scenarios.