bluuebunny/crossref_metadata_2025_split huggingface dataset:
Posterior cruciate ligament tears in monozygotic twins: A case report
Authors: Tua Lubis Andri Maruli , Canintika Anissa Feby , Prasetyo Joseph 
Published: October 2024

Introduction: Posterior cruciate ligament (PCL) tears are not as frequent as anterior cruciate ligament (ACL) tears. They are rare as an isolated injury and more commonly occur in a multi-ligament-injured knee. We reported a case of rupture of PCL in monozygotic twins. Case Presentation: A 19-year-old female presented with giving away of her left knee since 4 months ago. She fell from stairs previously. Physical examination demonstrated positive posterior drawer test. Magnetic resonance imaging showed ruptured PCL and lateral meniscal tear. Two months later, her identical twin, also a 19-year old-female, fell from the stairs and complained of giving away. Physical examination showed positive posterior drawer test. Magnetic resonance imaging demonstrated ruptured PCL and lateral meniscal tear. Both patients underwent arthroscopic-assisted PCL reconstruction using gracilis, semitendinosus, and peroneus tendon graft. At one year of follow-up, there were no graft failures. Both patients were athletes prior to their injury and they returned to sport. Discussion: Although it has never been reported before, this report shows that patients may have genetic predisposition to the incidence of PCL rupture. This is likely because of heritable factors, such as biomechanical, anatomic, anthropometric, and neuromuscular traits. Conclusions: A family history of PCL tear may increase the risk of a PCL tear. Further studies are recommended to examine genetic variants as a risk factor for PCL tears and other knee disorders.
Surgical Showdown: Comparative Evaluation of Functional Outcomes and Complications in Isolated Tibial Avulsion: A Comprehensive Analysis of Open and Arthroscopic Fixation over a 2-Year Period: A Systematic Review
Authors: Kuswara Leonardus William , Wien Aryana I Gusti Ngurah 
Published: October 2024

Introduction: Tibia avulsion fractures of the posterior cruciate ligament (PCL) can be treated surgically with arthroscopic repair or open reduction and internal fixation. The approach is simpler but risks soft tissue and neurovascular injury due to the difficulty of accessing the ligament's tibial attachment. Open surgery is effective and provides direct visualization. Meanwhile, arthroscopy is less invasive and promotes fast recovery. Method: Using predetermined criteria, the authors conducted a search to identify relevant studies. After reaching a consensus among the authors, Retrospective Case Series, Retrospective Comparative Series, Prospective Randomized Controlled Trials were included. Utilizing the Coleman methodology score, the analytical quality of each study presented was assessed in terms of its methodology. The outcome measures included the comparison of Lysholm score and the complications between open versus arthroscopic fixation in Isolated Tibial Avulsions. Result: The initial electronic search found 1,470 articles. Rigid inclusion and exclusion criteria reduced the initial number of studies to 12. This included 7 studies on the open posterior approach, 7 on arthroscopic fixation, and 2 on direct comparison. The study found that arthroscopic PCL avulsion in knee outcomes had better Lysholm scores than open surgery. Arthroscopy yielded better results with fewer complications, but the mini open technique was sometimes comparable. Conclusion: The results of the study indicate that arthroscopic approach yielded more favorable postoperative Lysholm scores compared to the open approach in cases of PCL avulsion. The utilization of arthroscopy resulted in superior outcomes with a reduced incidence of complications, although in certain instances, the mini open technique demonstrated comparable efficacy to arthroscopy.
An overview of the management of injury and illness along with referral pattern in Indonesian Football Clubs
Authors: Wijaya Pratama Wicaksana , Kurniarobbi Chikih Jull 
Published: October 2024

Introduction and Objectives: The injury rate in professional men's soccer match is around 8.1/1000 hours of exposure, almost 10 times higher than the rate in training session approximately in 3.7/1000 hours of exposure. Sixty-five percent of injuries causing time loss and impairing athlete performance. Therefore, the better understanding of professional soccer athletes’ management is essential in order to formulate comprehensive treatment of injuries and illnesses. The purpose of this research is to describe injury, illness, and referral pattern in Indonesian football clubs. Material and Methods: This descriptive study was conducted on injury and illness data from two Indonesian Football Clubs through 2018-2023. Many incidences, referral to another specialist, and collaboration care has been evaluated to describe the injury and illness characteristic. This study excluded Covid-19 pandemic data. Results: There were 159 cases over five years of data collection on injuries and illnesses from two Indonesian Football Clubs (Club X: 2018-2022, Club Y: 2022-2023). From the data, 149 players were registered in the Indonesian League 1 for 5 seasons. The number of injury case recorded was 137 cases with a ratio of 0.91 injured cases per number of players while the ratio of illnesses was 0.14 per number of players (n = 22). The characteristics case of injuries was divided into acute injuries (n = 105) and overuse injuries (n = 32). The referral process was carried out in 44% of the total case of injuries (n=61) and 18% of illnesses (n=4), with the most specialists receiving referrals were orthopaedics (n=28), followed by radiologist (n=26), emergency department (n=4), ophthalmology (n=3) and anaesthesia, plastic surgery, internal medicine, and medical rehabilitation. Monitoring and evaluation of referral cases were carried out by club doctors directly (n = 45) or in outpatient care by the specialist (n = 20) Conclusions: Management of injuries and illnesses in football clubs involved several medical specialties therefore comprehensive teamwork is mandatory for effective care. Most referral cases can be evaluated directly by the team doctor or additionally by medical doctor specialist.
The role of iPACK (interspace between the popliteal artery and the posterior knee capsule) radiofrequency for pain management following meniscus repair- a case report
Authors: Deviandri Romy , KH M.Pramana , Yuliana Viet , Irawan Dino 
Published: October 2024

Introduction: Adequate postoperative pain control is essential for successful rehabilitation programs after meniscus repair (MR). The pulsed radiofrequency of the interspace between the popliteal artery and the posterior knee capsule (PRF-iPACK) is a recently developed method. Objectives: This study aimed to evaluate the use of PRF-iPACK in patients who underwent MR. Materials & Methods: We performed PRF-iPACK guided by ultrasonography for patients who underwent MR with aggravated pain four weeks after surgery. The pain was evaluated using the visual analogue scale (VAS), Lysholm score, and the Euroqol- 5 Dimension (EQ-5D). Results: In this study, two patients participated. For the results, a week after treatment, the mean VAS score, Lysholm score, and EQ5D improved from 7 to 1, 42 to 86, and 0.48 to 0.82, respectively. Conclusion: PRF-iPACK is an adequate and safe procedure for managing postoperative pain after MR. It may enhance the postoperative rehabilitation program.
Psychometric properties analysis of the Indonesian ACL-RSI scale in patients with ACL injury
Authors: Deviandri R , van der Veen HC , Lubis AMT , Postma MJ , van den Akker-Scheek I 
Published: October 2024

Introduction: The Anterior Cruciate Ligament–Return to Sport After Injury scale (ACL-RSI) measures athletes’ emotion, confidence, and risk appraisal when returning to sports after an anterior cruciate ligament (ACL) injury and/or ACL reconstruction (ACLR). Objectives: To assess the validity, reliability, and responsiveness of the Indonesian version of ACL-RSI scale for use in the Indonesian-speaking ACL population. Material & Methods: After a forward-and-backward translation procedure, validity and reliability of the (I-ACL-RSI were investigated. Patients who had undergone ACLR at a single hospital were asked to complete four questionnaires: the Indonesian version of the ACL-RSI (I-ACL-RSI), Injury–Psychological Readiness to Return to Sport scale, Tampa Scale of Kinesiophobia, and International Knee Documentation Committee Scale. After a two-week interval, patients were asked to complete the I-ACL-RSI a second time. Following COSMIN (Consensus-based Standards for the selection of health Measurement Instruments) reporting guidelines, construct validity using hypothesis testing, test-retest reliability, internal consistency, floor and ceiling effects, and measurement error were determined. The Bland and Altman method was used to explore absolute agreement. The responsiveness was determined using the logistic regression-based method. Results: Of 200 eligible patients, 102 (51%) were included in the analysis. All predefined hypotheses on correlations between the I-ACL-RSI and the other questionnaires were confirmed, indicating good construct validity. An intraclass correlation coefficient (2-way random, type agreement) of 0.90 was found for the first and second I-ACL-RSI scores, indicating good test-retest reliability. A Cronbach α of .95 indicated good internal consistency, and no floor or ceiling effects were found. The standard error of measurement was 3.9, with the minimal detectable change calculated as 10.9 points at the individual level and 1.1 points at the group level. Responsiveness was considered good, especially at the group level. Conclusion: The ACL-RSI is a good evaluation instrument for Indonesian patients with anterior cruciate ligament injuries.
Safety and efficacy of intravitreal dexamethasone implantation along with phacoemulsification and intraocular lens implantation in children with uveitis
Authors: Feng Hui , Chen Weixin , Yang Jianzhu , Kong Haorong , Li Hongyu , Tian Meng , Mo Jing , He Yuan , Wang Hong 
Published: October 2024

Abstract
Purpose
To evaluate the safety and efficacy of intravitreal dexamethasone implantation during phacoemulsification and intraocular lens implantation in pediatric uveitis.

Methods
A retrospective analysis was conducted on pediatric uveitis patients undergoing phacoemulsification and intraocular lens implantation with intravitreal dexamethasone implantation. Patients with a minimum follow-up of 6 months were included. Primary outcome measures included ocular inflammation, intraocular pressure (IOP), best-corrected visual acuity (BCVA), and worsening of uveitis.

Results
36 eyes of 28 patients were ultimately included in this study. The mean preoperative BCVA was 1.00 (0.40–1.50) LogMAR. BCVA significantly improved to 0.40 (0.20–0.54) LogMAR at 1 month postoperatively (P = 0.006), further improving to 0.30 (0.20–0.40) LogMAR at 3 months postoperatively (P = 0.001). BCVA remained stable at 0.30 (0.20–0.70) LogMAR at 6 months postoperatively (P = 0.005). Mean IOP showed no statistically significant difference during the follow-up period of three to six months after surgery. Eight children experienced recurrence of ocular inflammation during the 6-month follow-up period. No cases of worsening macular edema, glaucoma, or elevated IOP were observed in any patient.

Conclusion
Intravitreal dexamethasone implantation during phacoemulsification and intraocular lens implantation is a safe and effective method for preventing and treating postoperative inflammation in children with uveitis.
DNA-protein quasi-mapping for rapid differential gene expression analysis in non-model organisms
Authors: Santiago Kyle Christian L. , Shrestha Anish M. S. 
Published: October 2024

Abstract
Background
Conventional differential gene expression analysis pipelines for non-model organisms require computationally expensive transcriptome assembly. We recently proposed an alternative strategy of directly aligning RNA-seq reads to a protein database, and demonstrated drastic improvements in speed, memory usage, and accuracy in identifying differentially expressed genes.

Result
Here we report a further speed-up by replacing DNA-protein alignment by quasi-mapping, making our pipeline > 1000× faster than assembly-based approach, and still more accurate. We also compare quasi-mapping to other mapping techniques, and show that it is faster but at the cost of sensitivity.

Conclusion
We provide a quick-and-dirty differential gene expression analysis pipeline for non-model organisms without a reference transcriptome, which directly quasi-maps RNA-seq reads to a reference protein database, avoiding computationally expensive transcriptome assembly.
Data-driven discovery of chemotactic migration of bacteria via coordinate-invariant machine learning
Authors: Psarellis Yorgos M. , Lee Seungjoon , Bhattacharjee Tapomoy , Datta Sujit S. , Bello-Rivas Juan M. , Kevrekidis Ioannis G. 
Published: October 2024

Abstract
Background
E. coli chemotactic motion in the presence of a chemonutrient field can be studied using wet laboratory experiments or macroscale-level partial differential equations (PDEs) (among others). Bridging experimental measurements and chemotactic Partial Differential Equations requires knowledge of the evolution of all underlying fields, initial and boundary conditions, and often necessitates strong assumptions. In this work, we propose machine learning approaches, along with ideas from the Whitney and Takens embedding theorems, to circumvent these challenges.

Results
Machine learning approaches for identifying underlying PDEs were (a) validated through the use of simulation data from established continuum models and (b) used to infer chemotactic PDEs from experimental data. Such data-driven models were surrogates either for the entire chemotactic PDE right-hand-side (black box models), or, in a more targeted fashion, just for the chemotactic term (gray box models). Furthermore, it was demonstrated that a short history of bacterial density may compensate for the missing measurements of the field of chemonutrient concentration. In fact, given reasonable conditions, such a short history of bacterial density measurements could even be used to infer chemonutrient concentration.

Conclusion
Data-driven PDEs are an important modeling tool when studying Chemotaxis at the macroscale, as they can learn bacterial motility from various data sources, fidelities (here, computational models, experiments) or coordinate systems. The resulting data-driven PDEs can then be simulated to reproduce/predict computational or experimental bacterial density profile data independent of the coordinate system, approximate meaningful parameters or functional terms, and even possibly estimate the underlying (unmeasured) chemonutrient field evolution.
Insomnia symptoms in children and adolescents: screening for sleep problems with the two-item Sleep Condition Indicator (SCI-02)
Authors: Illingworth Gaby , Mansfield Karen L. , Skripkauskaite Simona , Fazel Mina , Waite Felicity 
Published: October 2024

Abstract
Background
Sleep problems are common in young people. Yet brief screening measures to identify those most in need of an intervention are lacking. This study investigated the potential of the two-item Sleep Condition Indicator (SCI-02) for screening insomnia symptoms in children and adolescents. We sought to establish whether there are distinct subgroups with different sleep profiles and whether subgroup membership varied with gender and school year group.

Methods
Students (school years 5–13; typical age 9–18 years) in England completed the OxWell Student Survey in 2021. Sleep measures included: SCI-02, sleep onset latency (SOL), sleep duration, daytime sleepiness, and worry disrupting sleep. Latent profile analysis and multinomial logistic regression explored sleep profiles and predicted class membership.

Results
In total, 29,304 participants answered sleep items. Of these, 95% provided binary gender (n = 27,802, 55% female) for analyses. Five sleep profiles emerged. The profiles, labelled “good”, “moderate”, or “poor” sleepers, vary by sleep quality – which includes time taken to fall asleep (SOL), amount of sleep (sleep duration), and the disruption of sleep due to worry. The profiles are then further differentiated by high levels of daytime sleepiness – labelled “sleepy”. “Good Sleepers” (18,355, 66%), “Moderate Sleepers” (4825, 17.4%), “Moderate Sleepy Sleepers” (1250, 4.5%), “Poor Sleepers” (1037, 3.7%) and “Poor Sleepy Sleepers” (2335, 8.4%). Probable insomnia rates (SCI-02 ≤ 2) were high in both poor sleeper profiles (70–80%) compared with other profiles (0%) and the sample overall (9%). Compared with “Good Sleepers”, all other profiles were mostly female. Daytime sleepiness – the defining characteristic of the sleepy sleeper profiles – was more common in secondary school participants than primary school.

Conclusions
The SCI-02 is an efficient, two-question measure to screen for potential sleep problems in young people. Sleep disruption was high: one in ten were experiencing poor sleep. Females and adolescents appeared more vulnerable to poor sleep and daytime sleepiness. The SCI-02 has the potential for use in school and community contexts to identify children and adolescents who may benefit from support managing their sleep.
ECMO support may be associated with improved survival in tuberculosis associated severe ARDS
Authors: Nalbant Bahar , Buhlmann Alix , Wild Lennart , Bode Christian , David Sascha , Seeliger Benjamin , Stahl Klaus ,   for the BonHanZA study group, Pape Thorben , Ruwisch Jannik , Hoeper Marius M. , Wendel-Garcia Pedro David , Hofmaenner Daniel A. , Erlebach Rolf , Mueller Mattia , Andermatt Rea , Peukert Konrad , Sauer Andrea 
Published: October 2024

Abstract

Background
Data describing outcome of extracorporeal membrane oxygenation (ECMO) support in Tuberculosis (Tbc)-associated acute respiratory distress syndrome (ARDS) remain sparce and are mostly confined to singular case reports. The aim of this case series was to analyze intensive care unit (ICU) survival in patients with Tbc-associated ARDS receiving veno-venous (vv-) ECMO support and to compare those to patients not receiving ECMO.

Case presentation
ICU survival was analyzed retrospectively in 14 patients treated for Tbc-associated ARDS at three ECMO-referral university hospitals (Hannover Medical School, University Hospital Bonn (both Germany) and University Hospital Zurich (Switzerland)) during the last 14 years, of which eight patients received additional vv-ECMO support and six standard care only.
ICU survival was significantly higher in patients receiving additional vv-ECMO support (62.5%, n = 5/8) compared to those that did not (16.7%, n = 1/6) (p = 0.021). ECMO support was associated with reduced ICU mortality (Hazard ratio adjusted for baseline SOFA score [adj. HR] 0.125 (95% confidence interval (CI): 0.023–0.689), p = 0.017). Median (IQR) time on ECMO and invasive ventilation in the vv-ECMO group were 20 (11–26) and 37 (27–53) days, respectively. Major bleeding defined as transfusion requirement of 4 units of blood or more or surgical and/or radiologic intervention occurred only in one patient, in whom pulmonary bleeding was fatal. Thromboembolic events occurred in none of the vv-ECMO patients.

Discussion and conclusions
This retrospective analysis from three large ECMO centers with similar SOPs suggests vv-ECMO support as a feasible approach in patients with severe Tbc-associated ARDS. Although affiliated with extended runtimes, vv-ECMO might be associated with improved survival in those patients. Vv-ECMO support should thus be considered in Tbc-associated ARDS to enable lung protective strategies during prolonged lung recovery.
The effect of autoclave cycles on the mechanical properties and surface roughness of NiTi archwires: ex-vivo study
Authors: Shahawi Amal Magdi El , Aboalnaga Amira Ahmed 
Published: October 2024

Abstract
Objectives
To evaluate the effect of the universal and rapid autoclave cycles on the mechanical properties and surface roughness of nickel-titanium archwires following clinical use.

Material and methods
Thirty-six NiTi archwires (0.016 × 0.022 inch) were equally divided into a control group (Group A) and 2 experimental groups (Group B & C). Wires in group A were tested in the “as-received” form. Wires in the two other groups were installed in patients mouth for 4 weeks, and then autoclaved using the rapid-cycle (Group B) or the universal-cycle (Group C). All wires were subjected to 3-point bending test to calculate the elastic limit, modulus of elasticity, spring-back, yield strength, resilience and toughness. Atomic force microscopy (AFM) was used for surface roughness qualitative and quantitative analysis.

Results
Group B showed significantly higher values of elastic limit, modulus of elasticity, resilience, yield strength and toughness than the other two groups. No significant differences were detected between groups A and C (P > 0.05). Group B showed significantly lower average surface roughness than the other two groups, but no significant differences were detected between groups A and C (P > 0.05).

Conclusions
The mechanical properties and surface roughness of clinically used NiTi wires were less affected by the universal-cycle than the rapid-cycle autoclaving. However, the difference between the effect of both autoclave cycles was diminutive.

Clinical relevance
The mechanical properties and surface roughness of the tested NiTi wires were not notably altered by clinical use and autoclaving.
Deep learning assisted cancer disease prediction from gene expression data using WT-GAN
Authors: Ravindran U. , Gunavathi C. 
Published: October 2024

AbstractSeveral diverse fields including the healthcare system and drug development sectors have benefited immensely through the adoption of deep learning (DL), which is a subset of artificial intelligence (AI) and machine learning (ML). Cancer makes up a significant percentage of the illnesses that cause early human mortality across the globe, and this situation is likely to rise in the coming years, especially when non-communicable illnesses are not considered. As a result, cancer patients would greatly benefit from precise and timely diagnosis and prediction. Deep learning (DL) has become a common technique in healthcare due to the abundance of computational power. Gene expression datasets are frequently used in major DL-based applications for illness detection, notably in cancer therapy. The quantity of medical data, on the other hand, is often insufficient to fulfill deep learning requirements. Microarray gene expression datasets are used for training procedures despite their extreme dimensionality, limited volume of data samples, and sparsely available information. Data augmentation is commonly used to expand the training sample size for gene data. The Wasserstein Tabular Generative Adversarial Network (WT-GAN) model is used for the data augmentation process for generating synthetic data in this proposed work. The correlation-based feature selection technique selects the most relevant characteristics based on threshold values. Deep FNN and ML algorithms train and classify the gene expression samples. The augmented data give better classification results (> 97%) when using WT-GAN for cancer diagnosis.