bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pigmented basal cell carcinoma in an old man treated with surgical excision and flap reconstruction: a case report
Authors: Huda Berliana Kurniawati Nur , Rahmadewi  , Listiawan Muhammad Yulianto , Kusumaputra Bagus Haryo , Citrashanty Irmadita , Sari Maylita , Indrawati Ditya , Yunita Ira 
Published: March 2024

Background: Basal cell carcinoma (BCC) stands as the prevailing form of malignancy, and its prevalence is on the rise. While BCC carries a minimal risk of mortality, it can induce notable morbidity, chiefly due to localized damage. The incidence of BCC increases significantly after the age of 40 years, especially in women who are caused by exposure to ultraviolet (UV) rays. There are a variety of surgical and non-surgical treatments for BCC. In general, surgical methods are used more frequently because of their higher cure rates. We are reporting a case of pigmented basal cell carcinoma in an old Asian man who was treated with surgical excision with wound reconstruction using flap surgery.
Case Report: A 70-year-old man sought consultation at the Dermatology and Venereology outpatient clinic of Dr. Soetomo Regional Public Hospital. His main complaint was a wound on his forehead from two years ago. Initially, it appeared as a small lump with skin color. Over time, the lump got bigger and then turned into a wound that got wider. He also felt pain and itchy on the wound. For the past year, the wound had become easily bleeding. Dermatological examination revealed an ulcer with a clean base, not sharply marginated, asymmetry, and a size of 1,8 x 1,6 cm, with a rolled-up margin and an elevated edge. There was a translucent hyperpigmented nodule on the edges and a sign of bleeding in the center of the ulcer. A dermoscopy examination showed a blue-gray ovoid nest, shiny white structureless area, arborizing vessels, and ulceration. Histopathological results from both biopsies showed the proliferation of anaplastic basal cells was a monotonous rounded nucleus, coarse chromatin, several prominent nuclei, and narrow cytoplasm to moderately that partially contained melanin. The patient was diagnosed with Pigmented BCC. The treatment plan was to use surgical excision with advancement flap reconstruction. Postoperative lesions showed improvement and healed after three weeks post-surgery.
Conclusion: The management of BCC is determined based on the anatomical location and histological features. Widely used therapeutic approaches such as standard excision surgery or other invasive methods are significant therapeutic options.
Factors affecting the outcome of liver trauma patients with non-operative management in the high care unit of Dr. Soetomo General Hospital Indonesia
Authors: Astranto Dyandri Yogi , Danardono Edwin , Ali Iskandar 
Published: March 2024

Link of Video Abstract: https://youtu.be/V8nNXYUrFEY

Background: The liver is the organ that experiences the most trauma when abdominal trauma occurs. Nonoperative management is the primary choice in patients with hepatic trauma with stable hemodynamics and no signs of peritonitis. Various factors that can affect outcomes
Methods: This study is a cross-sectional design using medical record data. The study sample was all patients with liver trauma with nonoperative management who met the inclusion and exclusion criteria. The outcomes assessed were mortality and length of patient hospitalization. Data were analyzed using SPSS version 26.0 for Windows.
Results: Over 2 years, 42 patients with liver trauma were treated for nonoperative management. Most patients were male (76.2%) with the age of < 30 years (54.8%). Motorcycle accidents were the most common mechanism (83.3%), with most experiencing grade 4 liver trauma (33.3%). Of the 42 patients, 36 patients (85.7%) were accompanied by trauma to other organs. One mortality was obtained from a total of 42 patients aged ≥ 60 years, grade 5, and accompanied by comorbidities. There was a significant association between age, liver rupture grade, and comorbidity injuries and mortality in patients (p = 0.001; p = 0.01; p = 0.0001). From the outcome of the length of hospitalization, there is a relationship that tends to be significant between the presence of comorbidity trauma and the length of hospitalization (p = 0.061)
Conclusion: Mortality in liver trauma patients with nonoperative management was influenced by age, liver rupture grade, and accompanying injuries. Meanwhile, the length of hospitalization is only affected by comorbidities.
Bleeding time and clotting time post-extraction Rattus norvegicus tooth treated with ethanol extract gel from Terminalia cattapa L. leaves
Authors: Sirat Ni Made , Senjaya Asep Arifin , Rusminingsih Ni Ketut , Sali I Wayan 
Published: March 2024

Link of Video Abstract: https://youtu.be/iJSDiYl-BmA

Introduction: Post-extraction bleeding is a complication that is often encountered in dental practice. A decrease in the number of platelets will increase the risk of bleeding. If left untreated, complications can range from hematoma to severe blood loss. The use of medicinal plants is common in traditional medicine throughout the world. Flavonoids and tannins are the main compounds that play a role in the blood clotting process. The ethanol extract of Terminalia catappa L. leaves contains: saponins, alkaloids, tannins, flavonoids, triterpenoids, and phenols. This research aims to determine bleeding time and clotting time after tooth extraction. White mice were given ethanol extract gel from Terminalia cattapa L. leaves.
Method: Study design using randomized with post-test only control group design, in vivo. A population of 35 male white rats (Rattus norvegicus) of the Wistar strain, were grouped randomly into 7 groups. The extraction of white rat teeth using artery clamps, measurement of bleeding time and clotting time using three stopwatches, and the results were averaged.
Result: The results of the research showed that the ethanol extract gel of Terminalia cattapa L. leaves had a shorter bleeding time and clotting time than pure gel, after tooth extraction from white rats.
Conclusion: Terminalia catappa L. leaf ethanol extract gels have the ability to shorten bleeding time and clotting time and the best gel concentration is 50%.
Bistable magnetic nanowires: A new approach to non-volatile memory with single readout and automatic deletion
Authors: Velázquez Galván Yenni G. , Encinas Armando , Martínez-Huerta Juan Manuel , Piraux Luc , Medina Joaquín de la Torre 
Published: March 2024

Abstract
A novel approach for a non-volatile destructive readout memory application using bistable magnetic nanowire arrays is presented. The encoded information is stored as binary 1 and 0 by groups of NWs magnetized in the positive and negative states, respectively. We leverage the naturally occurring switching field distribution of the NW array and a tailored alternating decreasing magnetic field to program remanent magnetic states. To retrieve the information, the measured remagnetization curve exhibits a star-like behavior with jumps and plateaus and its derivative converts this information to a binary-type format. Two encoding and readout schemes are proposed and validated: binary bits and barcodes. For each case, the implementation and optimization procedures are illustrated, along with the required processing to obtain a useful readout signal. This strategy holds potential for non-volatile memory applications in which the stored information is erased during reading and can be reused indefinitely.

Graphical abstract
Biomarkers of Inflammation in Predicting the Outcomes of Heart Failure of Ischemic Etiology: the Results of Factor Analysis
Authors: Garganeeva A. A. , Kuzheleva E. A. , Tukish O. V. , Kondratiev M. Yu. , Vitt K. N. , Andreev S. L. , Ogurkova O. N. 
Published: March 2024

Aim. To study the prognostic significance of inflammatory biomarkers in patients with chronic heart failure (CHF) and stenotic multivessel coronary atherosclerosis, with determination of the biomarker separate set that reflects subclinical inflammation and is associated with the development of cardiovascular complications during prospective observation.Material and methods. A prospective observational study was conducted that included 80 patients with CHF and ischemic heart disease who were scheduled for coronary artery bypass grafting (CABG) during their current hospitalization. In addition to routine clinical laboratory tests, coagulation parameters were evaluated and the following inflammatory biomarkers were determined: neutrophil gelatinase-associated lipocalin (NGAL), growth/differentiation factor 15 (GDF-15), fibroblast growth factor 23 (FGF-23), transforming growth factor beta-1 (TGF-β1), and high-sensitivity C-reactive protein. Also, the calculated neutrophil-to-lymphocyte ratio (N LR) was included in the analysis. Follow-up duration was at least 12 months (median 16 [13, 22] months). Statistical analysis of the data was performed with the IBM SPSS Statistics 21 software.Results. The study presented results of a factor analysis of 10 inflammatory biomarkers in patients who were scheduled for CABG. One of the factors identified by the analysis included the levels of NGAL and GDF-15, N LR, and the level of fibrinogen in the blood in CHF patients with stenotic coronary atherosclerosis and was significantly associated with the death rate during prospective observation. Furthermore, this association remained significant even after adjustments for age, glomerular filtration rate, severity of heart and coronary insufficiency, and the presence of diabetes mellitus.Conclusion. In patients with CHF and stenotic coronary atherosclerosis, a set of inflammatory markers, including blood NGAL, GDF-15, N LR, and fibrinogen, can be combined into one factor reflecting subclinical inflammation. The value of this factor can be used to predict cardiovascular death in the long term after surgical myocardial revascularization.
Characteristics of Inferior Myocardial Infarction With a Special Electrocardiographic Pattern (Aslanger) in Metabolic Syndrome
Authors: Tretyakov A. Yu. , Ermilov O. V. , Zakharchenko S. P. , Tretyakova V. A. , Biryukov G. V. , Kotova D. P. 
Published: March 2024

Aim. To evaluate the features of ST-segment elevation myocardial infarction with the Aslanger pattern in comparison with traditional forms of inferior myocardial infarction in metabolic syndrome.Material and methods. This study included 30 patients with inferior myocardial infarction in the presence of metabolic syndrome: 9 patients with the Aslanger electrocardiographic pattern (group 1, age 59.7 [58.4; 63.1] years) and the rest with one of the traditional forms (control group, 59.9 [57.2; 63.8] years, matched by all criteria of metabolic syndrome). All patients underwent primary percutaneous intervention with assessment of the angiographic picture. The magnitude of ST-segment elevation was measured in lead III at the J point and following 0.06 seconds, and the optimal threshold value of this indicator was determined for a new picture of myocardial infarction.Results. The infarct-related artery in the Aslanger pattern was more often the circumflex artery (p=0.0099), and coronary thrombosis was characterized by a lower TIMI thrombus grade (p=0.014). SYNTAX values for the Aslanger pattern and for the traditional picture of inferior infarction with ST elevation in lead II≥III were higher than for a similar picture with ST elevation in lead III>II. The level of cTnI at admission (p=0.013) and after 24 hours (p=0.0017), the platelet count (p=0.0011) and mean volume (p=0.0047) in group 1 had smaller values than with traditional inferior infarction. The ST elevation at J point and at J+0.06 s point for lead III with the Aslanger pattern was significantly lower than values of such shift in lead III>II and lead II≥III with traditional inferior infarction (p<0.001). An elevation value ≤1.5 mm at J point +0.06 s was a predictor of infarction with the Aslanger pattern. Constructing the ROC curve made it possible to determine that with the Aslanger pattern, the best cutoff value for this index is 2 mm.Conclusion. Myocardial infarction with the Aslanger pattern as compared with traditional lower infarction in metabolic syndrome is characterized by specific individual angiographic signs, lower ST segment elevation, cTnI level, and thrombotic disorders.
Features of the Reperfusion Therapy for ST-Segment Elevation Myocardial Infarction According to the Russian Registry of Acute Myocardial Infarction – REGION-IM
Authors: Boytsov S. A. , Shakhnovich R. M. , Tereschenko S. N. , Erlikh A. D. , Pevsner D. V. , Gulyan R. G. , Rytova Yu. K. , Dmitrieva N. Yu. , Voznyuk Ya. M. , Musikhina N. A. , Nazarova O. A. , Pogorelova N. A. , Sanabasova G. K. , Sviridova A. V. , Sukhareva I. V. , Filinova A. S. , Shylko Yu. V. , Shirikova G. A. 
Published: March 2024

Aim. Based on data from the Russian REGION-IM registry, to study the features of reperfusion therapy in patients with ST-segment elevation myocardial infarction (STEMI) in real-life clinical practice.Material and methods. REGION-IM is a multicenter prospective observational study. The observational period is divided into 3 stages: during the stay in the hospital and at 6 and 12 months after inclusion in the registry. The patient's records contain demographic and history data; information about the present case of MI, including the time of the first symptom onset, first contact with medical personnel, and admission to the hospital; coronary angiography (CAG) data, percutaneous coronary intervention (PCI) data, and information about the thrombolytic therapy (TLT).Results. Reperfusion therapy was performed in 88.9 % of patients with STEMI. Primary PCI (pPCI) was performed in 60.6 % of patients. The median time from the onset of symptoms to pPCI was 315 minutes [195; 720]. The median time from ECG to pPCI was 110 minutes [84;150]. Isolated TLT was performed in 7.4 %, pharmaco-invasive treatment tactics were used only in 20.9 % of cases. The median time from ECG to TLT (prehospital and in-hospital) was 30 minutes [10; 59], whereas the median time from ECG to prehospital TLT was 18 minutes [10; 39], and in 63 % of patients, TLT was performed more than 10 minutes after diagnosis. PCI followed TLT in 73 % of patients.Conclusion. The frequency of reperfusion therapy for STEMI in the Russian Federation has increased considerably in recent years. The high frequency of pPCI is noteworthy, but the timing of pPCI does not always comply with clinical guidelines. The results of this registry confirm the high demand for pharmaco-invasive strategies in real-life clinical practice. Taking into account geographical and logistical features, implementing timely myocardial reperfusion requires prehospital TLT. However, the TLT frequency in the Russian Federation is still insufficient despite its proven maximum effectiveness in the shortest possible time from the detection of acute MI.
Venous Thromboembolism Chemical Prophylaxis in Patients Undergoing Shoulder Arthroscopy
Authors: Budin Jacob S. , Ramos Tolulope , Segel Kalli , Rumps Mia V. , Mulcahey Mary K. 
Published: March 2024

» Venous thromboembolism (VTE) after shoulder arthroscopy is rare (0.01%-0.38%) but impacts a significant number of patients because of the high procedure volume.» Studies found no significant benefit in reducing VTE risk with aspirin or low-molecular-weight heparins.» Current guidelines for thromboprophylaxis in shoulder arthroscopy lack consensus and need patient-specific considerations.» Further research is required to develop evidence-based thromboprophylaxis guidelines for shoulder arthroscopy.
Enabling Personalized Medicine in Orthopaedic Surgery Through Artificial Intelligence
Authors: Huffman Nickelas , Pasqualini Ignacio , Khan Shujaa T. , Klika Alison K. , Deren Matthew E. , Jin Yuxuan , Kunze Kyle N. , Piuzzi Nicolas S. 
Published: March 2024

» The application of artificial intelligence (AI) in the field of orthopaedic surgery holds potential for revolutionizing health care delivery across 3 crucial domains: (I) personalized prediction of clinical outcomes and adverse events, which may optimize patient selection, surgical planning, and enhance patient safety and outcomes; (II) diagnostic automated and semiautomated imaging analyses, which may reduce time burden and facilitate precise and timely diagnoses; and (III) forecasting of resource utilization, which may reduce health care costs and increase value for patients and institutions.» Computer vision is one of the most highly studied areas of AI within orthopaedics, with applications pertaining to fracture classification, identification of the manufacturer and model of prosthetic implants, and surveillance of prosthesis loosening and failure.» Prognostic applications of AI within orthopaedics include identifying patients who will likely benefit from a specified treatment, predicting prosthetic implant size, postoperative length of stay, discharge disposition, and surgical complications. Not only may these applications be beneficial to patients but also to institutions and payors because they may inform potential cost expenditure, improve overall hospital efficiency, and help anticipate resource utilization.» AI infrastructure development requires institutional financial commitment and a team of clinicians and data scientists with expertise in AI that can complement skill sets and knowledge. Once a team is established and a goal is determined, teams (1) obtain, curate, and label data; (2) establish a reference standard; (3) develop an AI model; (4) evaluate the performance of the AI model; (5) externally validate the model, and (6) reinforce, improve, and evaluate the model's performance until clinical implementation is possible.» Understanding the implications of AI in orthopaedics may eventually lead to wide-ranging improvements in patient care. However, AI, while holding tremendous promise, is not without methodological and ethical limitations that are essential to address. First, it is important to ensure external validity of programs before their use in a clinical setting. Investigators should maintain high quality data records and registry surveillance, exercise caution when evaluating others' reported AI applications, and increase transparency of the methodological conduct of current models to improve external validity and avoid propagating bias. By addressing these challenges and responsibly embracing the potential of AI, the medical field may eventually be able to harness its power to improve patient care and outcomes.
Physics-Informed Neural Network for CH4/CO2 Adsorption Characterization
Authors: Wang Hai , Chen Shengnan , Wang Muming , Wu Zhengbin , Hui Gang 
Published: March 2024

Abstract
This study addresses the critical need for accurate characterization of methane (CH4) and carbon dioxide (CO2) adsorption behavior in shale formations, pivotal for optimizing hydrocarbon extraction and advancing carbon neutrality goals. The research introduces a novel approach utilizing Physics-Informed Neural Networks (PINNs) to predict adsorption isotherms across diverse shale cores, integrating Langmuir adsorption theory into a data-driven model. By collecting a limited core dataset and leveraging automatic differentiation techniques, the PINN systematically incorporates physics knowledge into neural networks, compensating for data scarcity and enhancing predictive robustness. The method is validated through statistical analysis, feature selection, and cross-validation, demonstrating its superior performance compared to conventional Machine Learning (ML) models like Random Forest, with a 4.75% improvement in R2 for model performance. Overall, this approach represents a valuable tool for optimizing hydrocarbon recovery, offering insights into competitive adsorption phenomena and paving the way for more efficient and environmentally friendly extraction techniques in complex subsurface environments.
Feasibility assessment of real-time surface-guided intrafraction radiotherapy for prostate cancer without immobilization
Authors: Liu Xiaochao , Li Jia , Gao Hongxiang 
Published: March 2024

Abstract

Background Real-time position movement management in the intrafraction of radiotherapy has become a focus of precision radiotherapy. Real-time surface-guided radiotherapy by optical surface monitoring system (OSMS) has been widely used in multiple tumours, but its application in the intrafraction of radiotherapy for prostate cancer without immobilization is rarely reported. Methods Five patients of prostate cancer without immobilization were enrolled in this study. During 165 fractions of radiotherapy, cone-beam computed tomography (CBCT) was used to verify the set-up position before radiotherapy and correct the 6 degrees of freedom (6-DOF) errors. The 6-DOF real-time mean intrafractional motion was monitored by OSMS in the intrafraction of radiotherapy with thresholds of ± 3mm and ± 1°, and Post-treatment verified by the CBCT(V-CBCT). Spss22.0 statistical software was used to test the data of OSMS and VCBCT, P < 0.05 was statistically significant. Results The set-up errors by CBCT were Lat (1.78 ± 1.15) mm, Lng (3.24 ± 1.37) mm, Vrt (2.72 ± 1.49) mm, Rtn (0.56 ± 0.43) °, Roll (0.31 ± 0.32) °, Pitch (0.32 ± 0.39) °. OSMS monitoring intrafraction real-time position movement mean errors were Lat (0.52 ± 0.53) mm, Lng (0.76 ± 0.49) mm, Vrt (1.02 ± 0.71) mm, Rtn (0.27 ± 0.24) °, Roll (0.31 ± 0.32) °, Pitch (0.58 ± 0.43) °. Post-treatment CBCT verification errors were Lat (0.56 ± 0.57) mm, Lng (0.82 ± 0.54) mm, Vrt (1.01 ± 0.58) mm, Rtn (0.27 ± 0.19) °, Roll (0.32 ± 0.36) °, Pitch (0.60 ± 0.45) °. There was no significant difference between intrafraction OSMS real-time position movement mean error and after CBCT verification error (p > 0.05). Conclusions The OSMS is an accurate tool for real-time position movement management in prostate cancer radiotherapy without immobilization.
A Deep Learning Based Detection Algorithm for Anomalous Behaviour and Anomalous Item on Buses
Authors: Liu Shida , Li Qingyi , Ren Ye , Ji Honghai , Wang Li 
Published: March 2024

Abstract

This paper proposes a new strategy for analysing and detecting abnormal passenger behaviour and abnormal objects on buses. First, a library of abnormal passenger behaviours and objects on buses is established. Then, a new mask detection and abnormal object detection and analysis (MD-AODA) algorithm is proposed. The proposed algorithm is based on the deep learning YOLOv5 (You Only Look Once) algorithm. For onboard face mask detection, a strategy based on the combination of onboard face detection and target tracking is used. To detect abnormal objects in the vehicle, a geometric scale conversion-based approach for recognizing large-size ab-normal objects is adopted. To apply the algorithm effectively to real bus data, an embedded video analysis system is designed. The system incorporates the proposed method, which results in improved accuracy and timeliness in detecting anomalies compared to existing approaches. The algorithm's effectiveness and applicability is verified through comprehensive experiments using actual video bus data. The experimental results affirm the validity and practicality of the pro-posed algorithm.