bluuebunny/crossref_metadata_2025 huggingface dataset:
Distortion Correction Of BOLD Image Leveraging Cross-modality Image Translation Without Additional Scans
Authors: Yuan Siyu , Cui Ya , Huang Hui , Cai Bingyang , Li Jiwei , Luo Jie
Published: November 2024

Motivation: State-of-the-art correction of field inhomogeneity induced image distortion in EPI based fMRI images usually depends on additional scans, which might be compromised by subject motion. Goal(s): To develop correction distortion method for BOLD image without field map or reversed phase encoding direction acquisition. Approach: We introduce a novel approach leveraging using a 3D self-attention conditional generative adversarial network (SC-GAN) and iterative registration to correct fMRI distortion with distorted fMRI and structural MRI. Results: Visual and quantitative results indicate that our method effectively correct fMRI distortion without any additional scan. The correction improves after iteration. Impact: Our approach leverage image synthesis for EPI based fMRI distortion correction, which bypass the need for additional scans, and prevent potential inaccuracy due to motion. This approach may help improve fMRI preprocessing.
Decoding Deep Gray Matter Susceptibility: Variance from the reference region, not dipole inversion artifacts, dominates reproducibility
Authors: Salman Fahad , Ramesh Abhisri , Prayer Mirjam , Adegbemigun Ademola , Jochmann Thomas , Bergsland Niels , Dwyer Michael , Zivadinov Robert , Schweser Ferdinand
Published: November 2024

Motivation: Quantitative Susceptibility Mapping (QSM), an MRI technique used to investigate iron, myelin and calcium in neurology research, necessitates referencing susceptibility values, but the effect of this referencing step on the study outcome is not well understood. Goal(s): To disentangle the impact of reference region and inversion algorithm on scan-rescan susceptibility variation. Approach: Three brain reference regions and twenty-one inversion algorithms were studied on DGM susceptibility reproducibility using 5 subjects (4 scan-rescan each). Results: The choice of the reference region had a more significant impact on reproducibility than the choice of the inversion algorithms. Whole brain and white matter referenced findings were highly reproducible. Impact: The choice of the reference region affects statistical power and can lead to the masking of significant group differences due to increased variation.
SandwichNM Denoising with Deep Learning-Based Approach
Authors: Choi Jaewoo , Ji Sooyeon , Song Soohwa , Park Sungbum , Kim Yoomi , Lee Philhyu , Park Chaejung , Sohn Beomseok , Sohn Chulho , Baik Jongsam , Jeong SeongHo , Lee Jongho
Published: November 2024

Motivation: SandwichNM is an advanced neuromelanin sensitive MRI method, but it use the same sequence twice and averages them to increase signal-to-noise ratio (SNR) requiring long scan time. Goal(s): The objective is to preserve the SNR while reducing two scans into a single scan. Approach: We proposed deep learning-based denoising method for sandwichNM image to reduce the number of scans. Results: The proposed model achieved an increased PSNR and SSIM with utilizing single scan, which has reduced the scan time to half of the previous one. Impact: SandwichNM is an advanced neuromelanin sensitive MRI technique but requires averaging two scans due to SNR issue. The proposed method enabled higher SNR from single scan which can be useful for scanning patients with Parkinson's disease with involuntary movements.
Unsupervised estimation of spatiotemporal atrophy progression patterns in autopsy-confirmed 4-repeat tauopathies
Authors: Satoh Ryota , Sekiya Hiroaki , Ali Farwa , Botha Hugo , Dickson Dennis , Josephs Keith , Whitwell Jennifer
Published: November 2024

Motivation: To improve understanding of disease progression in four-repeat tauopathies and determine the value of MRI to predict specific pathologies. Goal(s): To estimate spatiotemporal atrophy progression patterns from 3D structural MRI and to examine the relationship between the atrophy patterns and pathological diagnosis in four repeat tauopathies. Approach: We applied an unsupervised machine learning algorithm called Subtype and Stage Inference (SuStaIn) to 3D structural MRI images in autopsy-confirmed four-repeat tauopathies. Results: The estimated subtype correlated well with the pathological diagnosis, and the estimated stage was negatively correlated with time from MRI to death. Impact: We identified two MRI atrophy subtypes with different patterns of progression that correlated to pathology in autopsy-confirmed four-repeat tauopathies. This improves understanding of how these pathologies spread through the brain and suggests that MRI could help predict pathology during life.
Gender-Specific Brain Morphological and Network Differences in Parkinson's Disease Patients with Rapid Eye Movement Sleep Behavior Disorder
Authors: Liu Yang , Zhang Pengfei , Ai Kai , Jiang Yan , Liu Guangyao , Zhang Jing
Published: November 2024

Motivation: The influence of gender on the brain morphology of PD-RBD patients remains unclear. Goal(s): We aimed to investigate gender differences in PD-RBD patients in terms of cortical morphology and individual structural covariance network. Approach: We firstly conducted volume- and surface-based morphometry analyses, followed by further exploration of the topological characteristics of individual level morphological similarity networks based on Kullback-Leibler Divergence. Results: Male patients presented decreased cortical indicators in salience, along with increased volume, cortical complexity and sulcus depth increase. Furthermore, in the individual morphological networks, we found significant differences between male and female patients in terms of both global and nodal properties. Impact: PD-RBD patients exhibit significantly gender-specific differences in brain morphology and covariant patterns, which may reflect distinct clinical treatment needs and disease progression patterns. Further exploration is needed to enhance clinical management efficiency.
The altered brain structure and function in patients with chronic prostatitis/chronic pelvic pain syndrome: a neuroimaging study
Authors: Weixian Bai , Xinyi Zhu , Rongrong Jia , Hairong Lv , Yanjun Gao
Published: November 2024

Motivation: Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is mainly characterized by persistent pain and discomfort in the pelvic region, which seriously affects the young and middle-aged men in China. Goal(s): Further exploration of the central mechanisms is essential to gain a deeper understanding of this chronic pain condition. Approach: This study, based on multimodal MRI and combined with clinical questionnaires and scales, adopts a cross-sectional design to systematically analyze the changes in gray matter and resting-state functional connectivity abnormalities. Results: The structure and function of the striatum are altered in CP/CPPS patients. Impact: The study results provide objective evidence of cerebral abnormalities to further understand the central pathophysiological mechanisms of CP/CPPS. They also offer valuable neuroimaging-based insights for future clinical advancements in precise diagnosis and treatment of CP/CPPS.
Mutli-modal MRI confirms HIV-1-linked neurometabolomic impairments in humanized mice
Authors: Gauthier Gabriel , Bade Aditya , Sajja Balasrinivasa , Uberti Mariano , Gorantla Santhi , Summerlin Micah , Liu Yutong
Published: November 2024

Motivation: While anti-retroviral therapy (ART) is essential for combating the type-one human immunodeficiency virus (HIV-1), patients with undetectable viral load still experience HIV-associated neurocognitive disorders. Goal(s): We aimed to use the chemical exchange saturation transfer (CEST) effects of brain metabolites with MRI to elucidate HIV-associated neurocognitive outcomes on ART patients. Approach: Humanized mice were infected with HIV-1, then given daily treatment of ART or vehicle. CEST-MRI and MRS were used to evaluate brain metabolites at four key timepoints. Results: Untreated mice showed declining 2ppm and 3ppm CEST signal in key brain regions, alongside increasing NOE signal. This was partially validated with MRS. Impact: The metabolic insights that CEST-MRI offers to HIV immunological care may aid in the development of increasingly effective ART drugs, such as long-acting injectables. Increased efficacy of ART will allow for increased quality of life for people living with HIV.
Deep learning to predict DTI tractography labels from diagnostic CT scans in acute ICH
Authors: Murray Olivia , Haroon Hamied , Hiren Patel , Harsten George , Hammerbeck Ulrike , Wermer Marieke , Jolink Wilmar , Hanley Daniel , investigators MISTIE , Cootes Timothy , Klijn Karin , Parry-Jones Adrian
Published: November 2024

Motivation: Assessing white matter integrity may enhance intracerebral haemorrhage (ICH) surgical trial selection. However, patients often only receive CT imaging, on which delineating white matter is challenging. Goal(s): This study aimed to train a model to delineate white matter in CT scans, using paired DTI tractography maps, and test if the model predicted outcome in an external dataset. Approach: Tractography maps were generated from the DTI images. A nnU-Net model was trained on paired CT and registered tractography data, and then run on an external dataset of ICH diagnostic CT scans. Results: The model performed at 58% Dice, and significantly predicted outcome after ICH. Impact: Our model can predict tractography labels of the corticospinal tract on diagnostic CT scans without the need for DTI, allowing an enhanced prediction of outcome after intracerebral haemorrhage, and potentially leading to more informed selection of candidates for surgical trials.
Brain Tumor Enhancing in Pre-contrast MRI Based on Deep Learning
Authors: Wu Xinran , Wu Yaping , Wang Meiyun , Zheng Rencheng , Chen Weibo , Wang Chengyan , Wang He
Published: November 2024

Motivation: The project was motivated by the need to reduce reliance on contrast agents in MRI for brain tumor assessment, addressing issues of cost and patient discomfort associated with their use. Goal(s): To improve the visibility and recognition of tumors in T1-weighted MRI scans, eliminating the need for contrast agents. Approach: The approach involved registration, data augmentation, Pix2Pix-based image generation, and post-processing. Results: The results demonstrated that the method significantly improved tumor discernibility in T1-weighted MRI scans, offering a valuable diagnostic tool without the need for contrast agents. Impact: Our research provides an effective solution to enhance brain tumor visualization in MRI, directly benefiting patients and healthcare providers. By eliminating the need for contrast agents, our approach reduces costs, discomfort, and potential risks, advancing brain tumor diagnostics.
Pharmacokinetic analysis of ultrafast DCE-MRI for DCIS grading and prediction of DCIS upgrading to IDC
Authors: Ren Zhen , Fan Xiaobing , Shim Hyunji , Abe Hiroyuki , Karczmar Gregory
Published: November 2024

Motivation: Accurate grading and predicting the upgrade of DCIS can assist in surgical planning. Goal(s): This study investigates whether the pharmacokinetic parameters from ultrafast DCE-MRI can differentiate DCIS grade and predict the upgrade of DCIS at surgery. Approach: We reviewed data from 35 patients with DCIS who underwent a protocol that included preoperative ultrafast DCE-MRI (temporal resolution = 3-9 seconds) for the first minute after contrast administration. We measured pharmacokinetic parameters in DCIS from ultrafast images. Results: The results show that Kep separates low-grade DCIS from intermediate and high-grade DCIS. High-grade DCIS with short bolus arrival time is associated with an upgrade to IDC. Impact: Pharmacokinetic analysis of ultrafast DCE-MRI could distinguish low-grade DCIS from non-low-grade DCIS and could predict upgrade of high-grade DCIS to IDC.
Prediction of Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer Using a 3D Neural Network on Synthetic MR Images
Authors: Hwang Ken-Pin , Son Jong , Xu Zhan , Mohamed Rania , Chen Huiqin , Adrada Beatriz , Mosley Tanya , Yam Clinton , Wei Peng , Yang Wei , Ma Jingfei , Rauch Gaiane
Published: November 2024

Motivation: There is an unmet need for noninvasive imaging biomarkers for accurate early prediction of therapy response in patients with triple negative breast cancer. Goal(s): In this study, we investigated using a 3D convolutional neural network to predict response from quantitative T1, T2, and PD images acquired with the SyntheticMR technique. Approach: A ResNet-101 network was extended to 3D with 3 channels of inputs, and trained and evaluated using 5-fold cross validation with 217 image datasets acquired after 2 and 4 cycles of therapy. Results: Accuracy of response prediction ranged from 0.61-0.77 and dice similarity ranged from 0.68-0.77 when all time points were utilized. Impact: Therapy response at mid-treatment may be determined by a neural network applied to a single multi-parameter mapping sequence, which may help guide treatment strategies for improved outcomes for patients with triple negative breast cancer.
3D High SNR Cardiac MRI via Motion-Corrected Averaging of Multi-Heartbeat Acquisitions
Authors: Li Liwen , Patel Jaykumar , Guo Xinrui , Sheagren Calder , Wright Graham , Guo Fumin
Published: November 2024

Motivation: 3D high-SNR cardiac MRI may be achieved by acquiring undersampled images with low SNR during multiple heartbeats and averaging these volumes after motion correction. Goal(s): To generate 3D high SNR cardiac MRI from free-breathing multi-heartbeat undersampled acquisitions. Approach: We proposed an algorithm that implemented deep-learning based undersampled image reconstruction and deformable motion correction to generate high SNR 3D MRI. Results: For 11 subjects, our approach demonstrated effectiveness in respiratory and cardiac motion correction and generated 3D MR images with SNR 1.7x higher than single heartbeat acquisition and 1.4x higher than that without motion correction. Impact: The proposed approach provides a way for respiratory and cardiac motion correction and enables 3D MRI with high SNR that is required for a wide range of clinical applications.
Diagnostic value of GRASP in the differentiation of breast malignancy
Authors: Li Yang , Liu Haifa , Wang Qi , Xu Qian , Wang Mengzhu , Liu Hui
Published: November 2024

Motivation: Breast MRI plays a vital role in early breast cancer screening, staging, and surgical guidance. The core technology used in breast MRI is DCE-MRI. Goal(s): This study aims to assess the effectiveness of using the GRASP sequence in distinguishing highly malignant breast lesions. Approach: We utilized the GRASP sequence, which offers high temporal resolution, to compare and analyze the microvascular characteristics of benign and malignant breast lesions. Results: We found that Kep was significantly higher in malignant lesions compared to benign lesions, suggesting a potential relationship between the abundant blood supply and high wall permeability observed in malignancies. Impact: The GRASP dynamic enhancement technique provides both morphological and hemodynamic characteristics of breast lesions, aiding in the differentiation of high-grade malignancies.
Association between Paravertebral Muscle Radiological Parameters Alterations and Non-Alcoholic Fatty Liver Disease: A Cross-Sectional Study
Authors: lulu Lin
Published: November 2024

Motivation: This study aims to assess the alterations in skeletal muscle parameters in patients with histologically confirmed NAFLD. Goal(s): Find a non-invasive method for the diagnosis of NASH from NAFLD. Approach: The data were analyzed using SPSS 26.0 statistical software. Results: Our findings revealed a positive correlation was observed between NAS scores and the FIR of MF muscle at the L3 level. Remarkably, MF muscle fat infiltration and ALT emerged as independent risk factors for NASH. Moreover, the integration of laboratory indices and radiological parameters in a combined model shows promising potential for the diagnosis of NASH. Impact: This study has revealed a profound association between PVM muscle radiological parameters and the severity of NAFLD and provided novel avenues for the diagnosis of NASH.
3D Diffusion-Prepared FLASH for Prostate MRI Near Metallic Implants
Authors: Hess Jeremiah , Lee Philip , Gomella Andrew , Loening Andreas , Hargreaves Brian
Published: November 2024

Motivation: Diffusion weighted imaging (DWI) is critical for prostate MRI, but echo planar imaging (EPI) DWI suffers from severe distortion in patients with hip implants or excessive bowel gas, often rendering images unusable. Goal(s): To develop 3D DWI of the prostate with minimal distortion from nearby metal. Approach: We compared a diffusion prepared, phase-navigated, fast low-angle shot (FLASH) readout sequence to EPI DWI to assess image quality, distortion correction and diffusion contrast. Results: Phantom experiments demonstrate the reduced FOV, distortion correction and ADC accuracy. Images in human subjects avoid the severe signal loss and distortion of EPI DWI in the subject with metal. Impact: We showed that 3D diffusion-prepared FLASH enables DWI where EPI often fails near hip replacements. Increased robustness of prostate imaging protocols to the presence of metal and/or bowel gas may obviate the need for contrast injection in these patients.
Free-Breathing 3D Cardiac Magnetic Resonance Elastography Using TURBINE-MRE
Authors: Meyer Nolan , Sui Yi , Rossman Phillip , Glaser Kevin , Murphy Matthew , Manduca Armando , Chang Ian , McGee Kiaran , Kantarci Kejal , Kapoor Ekta , Araoz Philip , Ehman Richard , Trzasko Joshua , Arani Arvin
Published: November 2024

Motivation: Cardiac magnetic resonance elastography (cMRE) has potential for clinically vital quantitative imaging of myocardial stiffness, but for it to become clinically viable in patients with heart failure or shortness of breath, free-breathing techniques need to be developed. Goal(s): To demonstrate the feasibility of 3D free-breathing cMRE. Approach: A 3D MRE sequence (TURBINE-MRE) was utilized for data acquisition. Physiologic signals were recorded and used to partition data into distinct cardiac and respiratory states. With a specified signal model, we iteratively reconstructed image volumes for all states. Results: Stiffness estimates throughout the cardiac cycle were successfully obtained in two volunteers, demonstrating successful free-breathing 3D cMRE. Impact: Free-breathing cMRE will enable quantitative imaging of myocardial stiffness in a significant number of patients who are not able to perform long breath-holds. A 3D TURBINE-MRE acquisition enables temporal resolution of the heart's elastic properties throughout the cardiac cycle.
Peran Guru Pendidikan Agama Islam dalam Mengatasi Siswa Kelas IX yang Merokok dan Terlambat Masuk Kelas di SMP Negeri 1 Kualuh Leidong
Authors: Sagala Nurhikmah , Padang Ramlan , Adawiyah Rabiatul
Published: November 2024

The purpose of this study is to identify the factors causing 9th-grade students to smoke and arrive late to class at SMP Negeri 1 Kualuh Leidong, to analyze the role and influence of Islamic Religious Education (PAI) teachers in addressing these issues, and to explore the solutions provided by PAI teachers to overcome smoking and tardiness among these students. This research employs a quantitative method, with a sample size of 56 students. Data collection was conducted using questionnaires, and data analysis was performed using statistical methods through SPSS. The results of this study indicate that the internal factor leading students to smoke is their curiosity and desire to try it, while external factors include peer influence. Tardiness in attending class is attributed to internal factors such as laziness, and external factors such as long distances and traffic congestion. The role of Islamic Religious Education teachers in handling 9th-grade students who smoke and are frequently late to class involves educating, mentoring, and motivating students to understand and practice Islamic teachings. This role significantly impacts addressing these issues, as evidenced by a t-value of 28.000, which is greater than the critical t-value of 1.673 (28.000 > 1.673). The influence of the independent variable (X) on the dependent variable (Y) is 39.6%. The solutions provided by Islamic Religious Education teachers include advising and guiding students, as well as imposing disciplinary actions on those who violate school rules.
Penerapan Model Pembelajaran Kooperatif Berbantuan Media Audio Visual dalam Meningkatkan Hasil Belajar Akidah Akhlak di MTs Negeri 2 Kota Padang
Authors: S Rahmad , Sabri Ahmad , Hidayati Hidayati
Published: November 2024

This study aims to examine the effect of a cooperative learning model assisted by audiovisual media on the learning outcomes of Akidah Akhlak among eighth-grade students at MTs Negeri 2 Kota Padang. The research employed a quantitative approach with a quasi-experimental design, specifically a randomized control group only design, involving an experimental class (VIII.3) and a control class (VIII.4). Data were collected through tests, questionnaires, performance assessments, and documentation. The findings indicate that students' knowledge aspect scores in the experimental class were higher, with an average score of 83.70 compared to 76.75 in the control class, with t calculated (5.26) t table (1.69). For the attitude aspect, the experimental class achieved an average score of 87, outperforming the control class, which scored 81.5, with t calculated (4.51) t table (1.69). Similarly, for the skill aspect, the experimental class scored an average of 82.83, compared to 73.39 in the control class, with t calculated (6.09) t table (1.69). Overall, the results demonstrate that the cooperative learning model assisted by audiovisual media not only enhances students' comprehension but also significantly impacts their attitudes and skills. Based on these findings, it can be concluded that this learning model is more effective than conventional methods in improving Akidah Akhlak learning outcomes, particularly in the topic “Miracles and Other Extraordinary Events.”.
Odontogenic Keratocyst in Pediatric Patients: Case Report and Literature Review
Authors: Mancilla Uribe Juan , Garcia Nova Diego , Castellon Zirpel Loreto , Fuenzalida Kakarieka Carlos , del valle German Laissle Casas , Bahamondes Asencio Carlos , Cittadini Carla P.
Published: November 2024

Odontogenic Keratocysts (OKC) are bone lesions that represent 10% of cystic lesions of the jaws. They are commonly
reported as radiographic findings since they are usually asymptomatic given the anteroposterior development through
the bone marrow, although they can generate large increases in volume with displacement of surrounding structures
and perforation of the bone cortices. These lesions are closely associated with Nevus Basal Cell Syndrome (NBCS) also known as Gorlin Syndrome (GS) or Gorlin-Goitz (GZ), where the 75 to 89% of these patients exhibit OKC lesions. This
report presents the treatment of a case present in the mandible of a pediatric patient associated to NBCS and
bibliographic review The purpose of this paper is to present recommendations on the current management of this
pathology based on the available literature.
Early Visual Outcome of Surgically Treated Anterior and Middle Skull Base Meningiomas: A Prospective Multicenter Observational Study
Authors: Hirbo Guyolla Yabello , Getahun Samuel , Sahlu Abat , Abebe Fasil Tesfaye
Published: November 2024

Background: Meningiomas are the most common primary intracranial tumors. Visual deterioration is the first symptom
for most patients with anterior and middle fossa meningiomas. The main aim of surgery is the total removal of the tumor, resulting in improvement or preservation of preoperative visual status.
Objective: To assess a 30-day visual outcome after surgical treatment of anterior and middle skull base Meningiomas.
Methods: Institution-based prospective cross-sectional study was conducted among hospitalized and operated patients from September 1, 2020, to August 31, 2020. Early postoperative visual outcome and associated factors affecting visual outcome were determined using the WHO visual criteria. Bivariate and multivariate correlation analysis was performed to identify associated variables. The p-value of <0.05 was considered significant.
Results: Among the 43 patients enrolled, the majority 40(93%) were females and 27(62.8%) of the patients were under the age of 45. The commonest presenting symptoms were headache and visual impairment in 41(95.3%) and 33(78.7%) of patients respectively. Postoperative visual improvement was found in 21(48.8%) of patients whereas 18(41.9%) of patients had a similar course and 4(9%) of the patients deteriorated. Age, duration of visual deterioration, peri-operative visual status, tumor size, optic canal extension, and Simpson grading of resection were found to have a significant association with visual outcome.
Conclusion: Postoperative visual improvement was found in 21(48.8%) of patients, which is comparable with most
studies. The postoperative visual outcome is favorably affected by a shorter duration of visual deterioration before surgery, better preoperative visual status, and tumor size less than 4cm.
Venous Thrombosis Below the Knee: Prevention of Life and Limb Threatening Morbidity
Authors: A. Stone Paul
Published: November 2024

The incidence of acute deep venous thrombosis is considered low compared with other orthopedic procedures such as
knee and hip arthroplasty. The literature is still controversial with regards to chemical prophylaxis for treatment of foot
and ankle trauma and surgery. It is crucial for the foot and ankle team to evaluate the potential risk factors for venous
thrombosis with the goal of preventing the complications of post-phlebitic syndrome, pulmonary hypertension, and
fatal pulmonary embolus. This article reviews the current literature, risk stratification scoring methods, and makes
recommendations for chemical prophylaxis for high risk patient populations.
The Incidence and Rate of Return to Competitive Sport Post ACL Reconstruction: Literature Review
Authors: Aldawoudy Akram M. , Van Blerk Jacques , Elfeel Ahmed
Published: November 2024

ACL injuries are common in competitive team-ball athletes and are frequently career ending or compromising. The rate
of return to competitive sport after ACL injury/management is debatable as well as the surgical and rehabilitation
factors that should be considered while managing ACL injuries in order to optimize the return of the athlete to
competition. The aim of this research was to investigate the incidence and the rate of return to competitive sport after
ACL injury and to explore the various factors which need to be considered in ACL surgery and rehabilitation to support
the process of successful return to competitive play. Research aims were met through extensive review of relevant ACL
management literature. The rate of return to competitive sport averages around half of the athletes operated for ACL
injury with a high rate of re-injuries especially within the first six months after surgery. Proper tunneling technique is
an important surgical factor in relation to return to sport and surgery should be done as early as the knee is fully
extended addressing all the concomitant injuries. Rehabilitation should be individualized, gradual and comprehensive,
covering all the biopsychosocial aspects of the athlete. Decisions of when and how to return to sport are complex and
should be team-based and preferably whole- model-based. The rate of return to competitive sport after ACL injury
management is relatively low and not as commonly used to be thought of. Many factors are to be considered to optimize
the return to competitive sport after ACL injury management.
Platelet Rich Plasma in the Lumbar and Cervical Spine: Intradiscal, Epidural and Intra-Articular Application—A New Strategy for Treating Pain from Degenerative Disc and Facet Disease
Authors: Kirchner Fernando , Cabrera Castedo Erick Manuel , Estévez Martín , Mirón Sandra , Vilariño Mariana , Gimenez Veronica
Published: November 2024

The treatments and early abandonment of work activity, entail a cost of living for the patient as well as an important economic one in terms of health and public spending. That is why new treatments seek to improve these indices. In recent years, various studies have been published internationally that have demonstrated the successful results of Platelet Rich Plasma (PRP) in relieving joint pain and improving spinal pathologies. Therefore, we consider it of great importance to carry out these treatments in Argentina, taking into account the benefits and reduction of risks associated with being an autologous component, conducting a retrospective study of our cases and comparing them with international scientific studies. Our results were encouraging, with 94% of our patients having more than 50% improvement, without needing to take pain medication, thus concluding that PRP treatment is an effective and safe treatment that is an option for spinal pain.
Osteochondral Lesion of the Lateral Femoral Condyle Following Patellar Dislocation – Treatment of a Rare Injury in Adolescents: A Case Study
Authors: Miguel Araújo José , Barbosa Natália , Pinheiro Rosana , Ruano Afonso , Andrade António
Published: November 2024

Introduction: Osteochondral injuries of the knee are increasingly common among active adolescents, often resulting
from acute trauma, repetitive microtrauma, or conditions like osteochondritis dissecans. Patellar dislocation is a
frequent cause of osteochondral lesions (OCL). Studies indicate that a significant percentage of patients with patellar
dislocation exhibit OCLs, particularly in the anterior lateral femoral condyle and medial portion of the patella.
Case presentation: A case study of a 15-year-old female athlete illustrates the clinical presentation and management of
such injuries. After sustaining a knee injury during a football match, she experienced significant pain and swelling, with
imaging revealing an osteochondral defect in the lateral gutter. Surgical intervention confirmed the presence of a larger
deffect and involved stabilizing the osteochondral fragment and repairing the surrounding cartilage. Postoperative
management included a period of non-weight-bearing followed by gradual rehabilitation. Follow-up MRIs showed
complete integration of the cartilage defect, and the patient successfully returned to football practice six months
post-surgery.
Conclusion: This case highlights the importance of early recognition and appropriate treatment of osteochondral
injuries in adolescents. Surgical techniques, including chondral fixation, can be effective, particularly in skeletally
immature patients, facilitating a successful return to athletic activities. Early intervention is crucial for preserving joint
function and ensuring optimal recovery outcomes.
Access to Public Available Health Data and Knowledge of Health Indicators Among Students at the Faculty of Public Health in Timor-Leste
Authors: Carvalho Marcos , Ximenes Leonardo , Anatolia S.M. Exposto Levi , da Conceição Pacheco Aniceto
Published: November 2024

Increasing the capacity to provide quality, timely and reliable data is one of the targets of the SDGs, especially in small island states like Timor-Leste. This research aims to analyze Faculty of Public Health students' access to public health data and their understanding of key health indicators. This research used a quantitative method with a cross-sectional survey approach with a structured questionnaire that was self-completed by the respondents. The sample consisted of 152 purposively selected students from the first to fourth semester. Data were analyzed using descriptive statistics. The results showed that most students had accessed various sources of health data, such as the Timor-Leste Ministry of Health (91%), WHO (78%), and UNICEF (63%). However, students' understanding of important health indicators was low; 86% did not understand the underweight indicator, 80% did not understand life expectancy, and 90% did not understand infant mortality. This research implies the need for curriculum development that focuses on data literacy and statistics to improve students' ability to access, analyze, and understand public health data. This intervention is important to prepare graduates who are able to face future data-driven public health challenges.
VERGİLER VE GELİR DAĞILIMI ARASINDAKİ NEDENSELLİK İLİŞKİSİ
Authors: Akşehirli Nurcihan
Published: November 2024

Gelir dağılımı, belirli bir dönemde bir ülkede üretilen toplam gelirin o ülkedeki bireyler arasındaki bölüşümünü ifade etmektedir. Gelirin, piyasa koşullarında kendiliğinden dağılımı, piyasa başarısızlıkları ya da kurumsal faktörler nedeniyle her zaman eşit olmamaktadır. Gelir eşitsizliği, ekonomik büyüme, kalkınma, refah seviyesi gibi makroekonomik göstergelerin yanı sıra toplumsal huzuru da zedelediği için devlet, çeşitli maliye politikası araçları ile piyasada kendiliğinden oluşan gelir dağılımına müdahale etmektedir. Bu noktada, vergiler, gelir eşitsizliği ile mücadeledeki kilit rolüyle öne çıkmaktadır. Bu çalışma, vergi ve gelir dağılımı arasındaki nedensellik ilişkisini araştırmayı amaçlamıştır. Bunun için dolaysız vergiler ve dolaylı vergilerin Gini katsayısı ile ilişkisini belirlemiştir. Dolaysız vergileri temsilen mülkiyet üzerinden alınan vergileri, dolaylı vergileri temsilen uluslararası ticaret ve muamelelerden alınan vergileri kullanmıştır. Çalışma, Türkiye'de 2006-2023 dönemini analiz etmek amacıyla Toda-Yamamoto nedensellik testini uygulamıştır. Serilerin durağanlığını sınamak için Genişletilmiş Dickey-Fuller ve Philips-Perron testlerine başvurmuştur. Bulgular, hem dolaysız hem de dolaylı vergilerden gelir dağılımına doğru tek yönlü bir nedensellik ilişkisi ortaya koymuştur. Çalışma sonucu, mülkiyet üzerinden alınan vergiler ve uluslararası ticaret ve muamelelerden alınan vergilere yönelik maliye politikalarının gelir dağılımı üzerinde etkili olabileceğini göstermiştir.
Die anatomische Präparation von Hund und Katze
Authors: Al Masri Salah , Wießnet Lukas
Published: November 2024

Dieses Begleitlehrbuch für die anatomischen Präparierübungen von Hund und Katze führt mit 310 hochwertigen Fotografien aus dem Präpariersaal in einer Schritt-für-Schritt-Anleitung durch den Prozess der anatomischen Präparation von Hund und Katze. An Frisch- und Formalin-fixierten Präparaten werden die relevanten, anatomischen Strukturen nicht nur beschrieben, sondern auch die Methodik der anatomischen Freilegung anhand von Schnittlinien und anatomischer Kniffe in übersichtlicher Art und Weise illustriert. Die Unterschiede zwischen Hund und Katze werden hierbei explizit hervorgehoben. Diese Präparationsanleitung eignet sich sowohl als Begleitlehrbuch zum Präparierkurs als auch als schnelles Nachschlagewerk in der tierärztlichen Praxis - nicht zuletzt dank des ausführlichen Registers.
A teoria da objetivação no ensino de ciências na pós-graduação stricto sensu brasileira: mapeamento de teses de 2019 a 2023
Authors: Façanha Patricia Campêlo do Amaral , Silva Solonildo Almeida da , Alexandria Auzuir Ripardo de
Published: November 2024

Esse estudo tem como objetivo mapear, por meio de uma revisão sistemática, as pesquisas realizadas na pós-graduação stricto sensu brasileira (teses) acerca da Teoria da Objetivação (TO) no ensino de ciências de 2019 a 2023. A revisão foi conduzida na plataforma da Biblioteca Digital Brasileira de Teses e Dissertações (BDTD), resultando inicialmente em 21 teses, das quais apenas duas tratavam da relação entre a TO e o Ensino de Ciências. Ambas realizaram pesquisa-ação, são oriundas de universidades federais do centro-oeste brasileiro e trabalharam com a formação de professores. Nas pesquisas observou-se que esse método de ensino impacta positivamente a postura crítica dos professores em relação à sua prática pedagógica e ao sistema de ensino, além de promover mudanças na forma de planejar e desenvolver as aulas de ciências a partir do labor conjunto com os alunos, apresentando-se como uma experiência diferenciada e motivadora no ensino de ciências. Contudo, há uma lacuna significativa de estudos sobre a aplicação da Teoria da Objetivação no ensino de ciências. Pesquisas futuras podem explorar essa abordagem em diferentes regiões, níveis de ensino e com metodologias variadas, ampliando a compreensão de seu impacto na formação e prática docente em ciências.
Dampak Ekologis Implementasi Blockchain Dan Cryptocurrency Di Era Digital
Authors: Rico Cito Purba  , Marince Lumbanraja  , Agnes Ulina Raelsi Raja Gukguk  , Wesly Varrey  , Tevia Oktavia Manalu  , Joosten
Published: November 2024

Blockchain and cryptocurrencies have changed the way we transact and interact in the digital age. However, the rapid advancement of these technologies has resulted in major environmental impacts. Efficient implementation of blockchain requires the use of large amounts of energy and computing power, with consensus algorithms as the foundation. The purpose of this study is to investigate the environmental implications of blockchain and cryptocurrency implementation, as well as initiatives to mitigate these issues. The type of research is a library study (library research) using a qualitative method, namely by combining, collecting information or previous scientific papers on relevant topics. Along with the growing popularity of cryptocurrencies, the continuous mining process often results in large energy consumption and carbon emissions, sparking concerns about their long-term viability and environmental impact. Based on the results of previous research and research sources, the author found a solution to the problem of high energy consumption from the use of blockchain, namely: Proof of Stake (PoS), Proof of Authority (PoA), Sidechains and Layer-2 Solutions, Hardware Optimization, Implementation of Consensus Algorithms Based on RUST.
The Impact of Cashless Payment Policies on Consumer Behavior at Kesiangan Coffee, Batam City
Authors: N Brightness Bill Boy
Published: November 2024

This research aims to analyze the effect of cashless payment policy on consumer behavior at Kesiangan Coffee, Batam City. With the increasing use of technology in various aspects of life, especially in the payment sector, it is important to understand how cashless policies affect consumer behavior. This study used a survey method with questionnaires distributed to 100 respondents. Data analysis was conducted using SPSS software, and it included validity, reliability, and linear regression analysis. The results showed that the R-value was 0.128 and the R Square was 0.165, indicating that only 16.5% of the variation in the cashless payment policy could be explained by consumer behavior. The validity and reliability test results show that all research instruments are valid and reliable, but the influence of consumer behavior on this policy is still relatively low. This finding suggests that other more dominant factors, such as technological infrastructure, level of security, and consumer demographics, influence the acceptance of cashless payments. Therefore, it is recommended that relevant parties, such as financial institutions and the government, focus on education and infrastructure development to increase the acceptance of this payment system among the public. Further research is needed to explore other factors that play a role in influencing cashless payment policies, so that more effective strategies can be implemented to encourage the use of this technology in various sectors.
Church Participation in Building Political Civilization in Indonesia
Authors: Lumoindong Gilbert , Lumoindong Greivance
Published: November 2024

Politics has always been a topic of great interest, especially regarding the church's role. The church is pivotal in advocating for political life aligned with its essence: achieving the common good and public welfare. However, many Christians view politics negatively, often leading to apolitical attitudes. This research aims to analyze the church's participation in reshaping political perceptions among Christians in Indonesia, emphasizing a revolution of love. Using a qualitative method with descriptive and interpretative approaches, the study records congregation perceptions and provides theological interpretations to clarify the connection between politics and the church's role. The results highlight a lack of political education within the church, contributing to Christians' minimal involvement in political arenas. The research underscores the need for the church to educate and equip its congregation for meaningful political participation, fostering integrity and social justice. The study concludes that the church has a crucial role in nurturing a political environment grounded in love, justice, and communal welfare.
Efficient Log Parsing and Visualization System for Large-Scale Logs: A Data-Centric Approach Using Custom Data Structures
Authors:   Final Year B.Tech Students, Department of Computer Science and Engineering, Reva University, Bangalore, Karnataka, India., Suhas V M , Subash V M , Arjun V S
Published: November 2024

In the realm of debugging and system optimization, testers frequently deal with large-scale logs from systems such as 5G communication networks. Handling, filtering, and visualizing these logs efficiently are crucial for understanding system performance and identifying issues. This paper presents an efficient log parsing and visualization system that leverages custom data structures to handle logs more effectively, with significant improvements in filtering and querying after initial parsing. The system provides multiple ways to filter logs, including by parent attributes, supports inline scripting to manipulate data tables, and offers various visualization techniques. The tool is optimized for fast filtering and querying, compared to other approaches, and will be available as an open-source project to the broader testing and debugging community.
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning
Authors: Rabbi Jakaria , Kiechle Johannes , Beaulieu Christian , Ray Nilanjan , Cobzas Dana
Published: November 2024

This paper presents a comprehensive study focused on disentangling hippocampal shape variations from diffusion tensor imaging (DTI) datasets within the context of neurological disorders. Leveraging a Mesh Variational Autoencoder (VAE) enhanced with Supervised Contrastive Learning, our approach aims to improve interpretability by disentangling two distinct latent variables corresponding to age and the presence of diseases. In our ablation study, we investigate a range of VAE architectures and contrastive loss functions, showcasing the enhanced disentanglement capabilities of our approach. This evaluation uses synthetic 3D torus mesh data and real 3D hippocampal mesh datasets derived from the DTI hippocampal dataset. Our supervised disentanglement model outperforms several state-of-the-art (SOTA) methods like attribute and guided VAEs in terms of disentanglement scores. Our model distinguishes between age groups and disease status in patients with Multiple Sclerosis (MS) using the hippocampus data. Our Mesh VAE with Supervised Contrastive Learning shows the volume changes of the hippocampus of MS populations at different ages, and the result is consistent with the current neuroimaging literature. This research provides valuable insights into the relationship between neurological disorder and hippocampal shape changes in different age groups of MS populations using a Mesh VAE with Supervised Contrastive loss.
Our code is available at https://github.com/Jakaria08/Explaining_Shape_Variability
Amazing Discovery: Dolphin Engages in Highly Vocal Self-Conversations
Authors: Frey Erzsebet
Published: November 2024

Amazing Discovery: Dolphin Engages in Highly Vocal Self-Conversations

Incredible Insight Into Dolphin Behavior

The amazing world of dolphins never ceases to astound researchers and animal lovers alike. These intelligent creatures have long been known for their social interactions, playful demeanor, and impressive problem-solving skills.
Comparison of glass ionomer cement and resin as sealing materials: Systematic review of clinical trials
Authors: Karadimitriou Maria-Despoina , Alexaki Filothei , Dermata Anastasia
Published: November 2024

Background/Aim: Glass ionomer cements (GIC) are regarded to be an alternative sealing material to Composite Resin (CR), the gold standard of sealing. The aim of this systematic review is to evaluate Glass Ionomer Cements (GIC) in comparison with Resin-based materials in children and adolescents through a systematic review of clinical trials. Material and Methods: A systematic review of the literature conducted by two independent researchers on electronic data-bases PubMed, Cochrane Library, Willey, JADA, Journal of Evidence Based Dental Study. Reference lists from included articles were searched for relevant articles. The selection criteria followed the PRISMA guidelines and the clinical question was: Are Glass Ionomer Cements as effective as composite resin as sealing material? 7 clinical trials were provisionally included for further review. One of these was excluded. Results: The results reported no statistically significant difference between the retention and caries prevention of GIC in comparison with Composite Resin in 12 months. After 36 months the retention of resin was better. Conclusions: There is not enough evidence to support the superiority of either material. GIC has poorer retention rates compared to Resin Based sealants however there is no statistically significant difference regarding caries prevention.
Botulinum toxin a as a treatment for temporomandibular disorders: A systematic review
Authors: Gkioka Eleni , Skeparnia Vasileia , Tsairidou Ioanna , Bakopoulou Athina , Kokoti Maria
Published: November 2024

Background/Aim: This systematic review assesses the efficacy of botulinum toxin (BTX) injections in managing temporomandibular disorders (TMD), myofascial pain, and bruxism. Material and Methods: Following PRISMA guidelines, a literature search was conducted using PubMed and Google Scholar, focusing on clinical studies from 2000 to 2024 involving intramuscular BTX administration for TMD in adults. Inclusion criteria targeted clinical studies, while reviews, case reports, and laboratory studies were excluded. A total of 47 clinical studies were reviewed, and outcomes were summarized and analyzed. Results: BTX injections primarily targeted the masseter and temporalis muscles, with administered doses ranging from 10 to 75 IU per muscle. BTX injections demonstrated significant efficacy in reducing pain (up to 91%), improving mandibular mobility and lateral jaw movements. Bruxism episodes were notably reduced by up to 87%, often accompanied by improved sleep quality. Adverse effects were generally mild, with transient muscle atrophy resolving within three months. Discussion: The findings of this review consistently demonstrate the efficacy of BTX in alleviating pain and reducing bruxism associated with TMD. A clear dose-response relationship and temporal effect were observed, with symptom improvement peaking at approximately six months post-injection. However, the heterogeneity among included studies, particularly regarding patient populations, treatment protocols, and outcome measures, limited the ability to conduct direct comparisons and meta-analysis. Conclusions: The collective evidence suggests that BTX may serve as a valuable adjunct to conventional TMD management, offering significant pain relief and improved quality of life for affected individuals. To optimize clinical practice, further well-designed studies are needed to establish standardized treatment protocols and identify patient subgroups most likely to benefit from BTX therapy.