Short Time Research Articles

Catalyst-free Approach to Dihydropyrimidones Using Glycerol/Ethyl Lactate as a Recyclable and Biodegradable Promoting Medium

Abstract: A variety of dihydropyrimidone compounds were synthesised using an effective one-pot, multicomponent, environmentally friendly reaction of aromatic aldehydes, urea/thiourea, ethyl acetoacetate, and glycerol/ethyl lactate. To the best of our knowledge, this is the first catalyst-free strategy for the synthesis of this key scaffold with medicinal chemistry applications. Other significant aspects of the current approach consist of the employment of glycerol/ethyl lactate as a biodegradable and environmentally friendly reaction medium-cum-promoter, the use of easily available substrates, moderate reaction conditions, ease of use, a wide substrate scope, a short reaction time, easy workup, and excellent yields, and atom efficiency, which make the disclosed procedure an excellent alternative to existing methods.

An Identification Method for Anomaly Types of Active Distribution Network Based on Data Mining

With the increasing penetration of distributed generators (DGs) and the growing demand for reliable power sources, it has become imperative to promptly identify anomalies in active distribution networks (ADNs). Additionally, anomaly identification is also crucial to assisting in targeting maintenance to handle failures after the action of relay protections. This study presents a highly accurate and rapidly responsive approach to identifying anomalies in ADNs. The proposed method uses three layers of intricately interconnected modules. In the first module, an iterative clustering layer is devised to process the original data. In the second module, an association rule layer is designed to identify hidden patterns based on the types of anomalies and the post-fault voltage. In the third module, a regression training layer is employed to train accurate identification models. The case study utilizes data samples collected by an IEEE 33-bus system with distributed generations as well as post-fault data from a practical distribution network. The results of comparative tests demonstrate that the proposed data-mining structure achieves reliable performance with high identification accuracy and short reaction times, indicating its ability to be applied to the state awareness system of ADNs.

Scapholunate Ligament Reconstruction With Internal Brace Augmentation Techniques for Chronic Scapholunate Dissociation: A Clinical Follow-up Study.

The scapholunate ligament is the most important stabilizer of the scapholunate articulation. The management of chronic irreversible injuries of this ligament in the absence of preexisting arthritis of the wrist joint remains controversial. Recently, surgeons introduced a novel surgical technique using an internal brace (IB). Several biomechanical studies on this technique have been conducted using cadavers; however, very few studies have discussed the results in detail in actual clinical practice. Therefore, herein, we investigated the radiological and functional results of patients who underwent IB augmentation as a treatment for chronic scapholunate dissociation. This retrospective study was conducted from April 2018 to May 2022. Twenty-two patients with chronic scapholunate dissociation were treated using the IB augmentation technique, of whom 17 were followed-up for at least 1 year. Radiological results, including scapholunate distance, scapholunate angle, and radioscaphoid angle, were collected. Furthermore, clinical parameters, such as the visual analog scale (preoperative and at final follow-up), the Disabilities of the Arm, Shoulder, and Hand scores (preoperatively and at 3, 6, and 12 months postoperatively), and Mayo wrist scores (preoperative and at final follow-up), were measured. The scapholunate distance increased significantly in the affected wrist compared to the unaffected wrist, which improved after reconstruction in all wrist positions ( P < 0.05). Compared to the unaffected wrist, the scapholunate angle increased significantly in all positions ( P < 0.05) except for extension ( P = 0.535) and improved after reconstruction in all wrist positions. The radioscaphoid angle significantly increased compared to the angle of the unaffected wrist in all positions ( P < 0.05) except for extension ( P = 0.602) and clenched fist ( P = 0.556). This angle improved after reconstruction in all wrist positions except for extension ( P = 0.900). The visual analog scale score (7-2, preoperatively and at final follow-up) and Mayo wrist score (53-82, preoperatively and at final follow-up) improved after surgery. The Disabilities of the Arm, Shoulder, and Hand scores also improved after surgery (68, 53, 30, 7, preoperatively and at 3, 6, and 12 months postoperatively). This study revealed that scapholunate ligament reconstruction using an autologous tendon and suture tape is a good reconstruction technique that can improve clinical symptoms and radiographic parameters with a shorter operation time and fewer complications than other reconstruction methods.

Subcutaneous daratumumab in Chinese patients with relapsed or refractory multiple myeloma: an open-label, multicenter, phase 1 study (MMY1010).

Despite recent progress in multiple myeloma (MM) treatments, most patients will relapse and require additional treatment. Intravenous daratumumab, a human IgGκ monoclonal antibody targeting CD38, has shown good efficacy in the treatment of MM. A subcutaneous version of daratumumab was formulated to reduce the burden of intravenous infusions. We aimed to investigate the efficacy and safety of subcutaneous daratumumab in Chinese patients with relapsed/refractory MM based on the demonstrated noninferiority of subcutaneous daratumumab to intravenous daratumumab, with a shorter administration time and reduced infusion-related reaction rate in global studies. This phase 1, multicenter study (MMY1010; ClinicalTrials.gov Identifier: NCT04121260) evaluated subcutaneous daratumumab in Chinese patients with relapsed/refractory MM after 1 prior line (n = 1) or ≥2 prior lines (n = 20) of therapy, including a proteasome inhibitor and an immunomodulatory drug. Primary endpoints were pharmacokinetics and safety. Mean (standard deviation) maximum trough concentration of daratumumab was 826 (335) μg/mL, which was consistent with prior studies of subcutaneous daratumumab and intravenous daratumumab. Safety was consistent with safety profiles observed in other daratumumab studies, with no new safety concerns identified. Incidences of infusion-related reactions and injection-site reactions were low and consistent with other subcutaneous daratumumab studies. At a median follow-up of 7.5 months, the overall response rate was 57.1%, with a very good partial response or better rate of 38.1% and complete response or better rate of 19.0%. Our results demonstrate a favorable benefit/risk profile of subcutaneous daratumumab in Chinese patients with relapsed/refractory MM, potentially impacting clinical administration of daratumumab in this population.

Performance evaluation of multiclass classification models for ToN-IoT network device datasets

Internet of things (IoT) technology has empowered tangible objects to establish internet connections, facilitating data exchange with computational capabilities. With significant potential across sectors like healthcare, environmental monitoring, and industrial control, IoT represents a promising technological advancement. This study explores datasets from ToN-IoT’s IoT devices, focusing on multi-class classification, including normal and attack classes, with an additional aim of identifying potential attack sub-classes. Datasets comprise various IoT devices, such as refrigerators, garage doors, global positioning systems (GPS) sensors, motion lights, modbus devices, thermostats, and weather sensors. Comparative analysis is conducted between two prominent multiclass classification models, extreme gradient boosting (XGBoost) and light gradient boosting machine (LightGBM), utilizing accuracy and computational time metrics as evaluation criteria. Research findings highlight that the LightGBM model achieves superior accuracy at 78%, surpassing XGBoost 74.31%. However, XGBoost demonstrates an advantage with a shorter computational time of 1.23 seconds, compared to LightGBM 6.79 seconds. This study not only provides insights into multiclass classification model selection but also underscores the crucial consideration of the trade-off between accuracy and computational efficiency in decision-making. Research contributes to advancing our understanding of IoT security through effective classification methodologies. The findings offer valuable information for researchers and practitioners, emphasizing the nuanced decisions needed when selecting models based on specific priorities like accuracy and computational efficiency.

The Photodynamic Antibacterial Activity Properties of a Series of Indium(III) Porphyrins and their Gold and Silver Nanoparticle Conjugates

AbstractIn(III) tetraarylporphyrin complexes with 4‐thiomethylphenyl (1‐InPor), thien‐3‐yl (2‐InPor), thien‐2‐yl (3‐InPor) and 5‐bromothien‐2‐yl (4‐InPor) meso‐aryl rings have been synthesized and characterized. The complexes have been conjugated to gold and silver nanoparticles (AuNPs and AgNPs). The photodynamic antimicrobial chemotherapy (PACT) activities of 1–4‐InPor and their AuNP and AgNP conjugates have been investigated against both planktonic bacteria and biofilms of Gram‐(+) S. aureus and Gram‐(−) E. coli. 2.5 μg.mL−1 solutions of 1–4‐InPor exhibited favorable PACT activities against planktonic S. aureus with high Log10 reduction values in the 4.28–7.69 range upon 75 min photoirradiation with a Thorlabs M625L3 LED (240 mW.cm−2) mounted onto the illumination chamber of a Modulight 7710 medical laser system to provide a dose at the well‐plate of 86 mJ.cm−2.min−1. In contrast, low values in the 1.4–1.9 range were obtained against E. coli with 10 μg.mL−1 solutions. 1–4‐InPor exhibited relatively low PACT activity against the biofilm cells of S. aureus and E. coli. Conjugation of 1–4‐InPor to AgNPs and AuNPs significantly enhanced the PACT activities. This is demonstrated by the complete eradication of planktonic S. aureus at shorter irradiation times with high Log10 values&gt;7.69 and moderate Log10 values&gt;2 against planktonic E. coli for the meso‐thienylporphyrin conjugates.

Reversions mask the contribution of adaptive evolution in microbiomes.

When examining bacterial genomes for evidence of past selection, the results obtained depend heavily on the mutational distance between chosen genomes. Even within a bacterial species, genomes separated by larger mutational distances exhibit stronger evidence of purifying selection as assessed by d N /d S , the normalized ratio of nonsynonymous to synonymous mutations. Here, we show that the classical interpretation of this scale-dependence, weak purifying selection, leads to problematic mutation accumulation when applied to available gut microbiome data. We propose an alternative, adaptive reversion model with exactly opposite implications for dynamical intuition and applications of d N /d S . Reversions that occur and sweep within-host populations are nearly guaranteed in microbiomes due to large population sizes, short generation times, and variable environments. Using analytical and simulation approaches, we show that adaptive reversion can explain the d N /d S decay given only dozens of locally-fluctuating selective pressures, which is realistic in the context of Bacteroides genomes. The success of the adaptive reversion model argues for interpreting low values of d N /d S obtained from long-time scales with caution, as they may emerge even when adaptive sweeps are frequent. Our work thus inverts the interpretation of an old observation in bacterial evolution, illustrates the potential of mutational reversions to shape genomic landscapes over time, and highlights the importance of studying bacterial genomic evolution on short time scales.

Comparison of disposable digital single-operator cholangioscopy versus direct peroral cholangioscopy for the diagnosis of intraductal superficial lesions of the bile duct.

Disposable digital single-operator cholangioscopy (D-SOC) and direct peroral cholangioscopy (D-POC) using an ultraslim endoscope are established POC modalities for the diagnosis and treatment of various biliary diseases. We compared the usefulness of D-SOC and D-POC for the diagnosis of intraductal superficial lesions of the bile duct (ISL-Bs). 38 consecutive patients with suspected biliary diseases who underwent both D-SOC and D-POC were enrolled. The primary outcome was ISL-B detection rate, and the secondary outcomes were technical success of POC and POC-guided forceps biopsy sampling (POC-FB), procedure time, visualization quality, and tissue adequacy. D-SOC had a higher technical success rate than D-POC but the difference was not statistically significant (100% vs. 92.1%, P = 0.25). D-POC had a marginally higher ISL-B detection rate (34.2% vs. 28.9%, P = 0.68) and significantly higher visualization quality (P = 0.03). The mean (SD) procedure time was significantly shorter with D-SOC (11.00 [1.33] vs. 19.03 [2.95] minutes, P<0.001). The technical success rate of POC-FB and tissue adequacy did not differ between the two techniques (D-SOC vs. D-POC: 81.8% vs. 84.6%, P = 0.69 and 77.8% vs. 90.9%, P = 0.57, respectively). Both POC systems were safe and useful for the detection, characterization, and diagnosis of minute ISL-Bs. While D-SOC displayed a shorter procedure time and a tendency for higher technical success rate, D-POC provided superior visualization quality, allowing detailed observation of the surface structure and microvascular patterns.

Dynamics of deposit dollarization in Turkey

&lt;p style="text-align:justify"&gt;&lt;span style="font-size:16px"&gt;&lt;span style="font-family:Times New Roman,Times,serif"&gt;&lt;span dir="ltr" lang="EN-US"&gt;&lt;span style="color:black"&gt;Deposit dollarization in Turkey has been on the rise, reaching record levels in 2022. This was caused by the worsening macroeconomic fundamentals along with the transition to the presidential system in 2018 and the associated deviation from the monetary policy stance afterward. The unique case of Turkey presents an excellent natural experiment to explore the dynamics of deposit dollarization and how it is affected by the changes in the institutional structure as well as various social, economic, and financial shocks in a relatively short time. This study examines the time varying reactions of deposit dollarization for the period between 2013 and 2022 based on rolling window maximum entropy bootstrap estimates. Our findings reveal that all the model variables had significant and sometimes asymmetric effects on deposit dollarization during the different stages of this turbulent period. In particular, we observe diminishing effects of real exchange rate, policy credibility and consumer confidence over time. The findings provide ample new evidence regarding the dynamics of deposit dollarization in general, and how it is affected by loss of monetary policy credibility.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

СРАВНИТЕЛЬНЫЙ АНАЛИЗ РАННЕГО И ПОЗДНЕГО НАЗНАЧЕНИЯ БИОАНАЛОГА РИТУКСИМАБА BCD020 ПРИ СИСТЕМНОЙ КРАСНОЙ ВОЛЧАНКЕ У ДЕТЕЙ: РЕЗУЛЬТАТЫ ОДНОЦЕНТРОВОГО РЕТРОСПЕКТИВНОГО КОГОРТНОГО ИССЛЕДОВАНИЯ

Juvenile systemic lupus erythematosus (jSLE) is a severe life-threatening disease with an immunoinflammatory pathogenesis and possible involvement of several organs or organ systems, both sequentially and simultaneously. Early initiation of biological therapy may improve disease outcomes. The purpose of this research was to evaluate the benefits of early initiation of genetically engineered biological therapy for jSLE with the Rituximab biosimilar BCD020. Materials and methods used: a single-center retrospective cohort study performed at the Saint Petersburg State Pediatric Medical University (Saint Petersburg, Russia) in 2012-2022 that included information on 36 patients with early Rituximab prescription (ERP; within less than 6 months from the jSLE diagnosis) and late Rituximab prescription (LRP; after over one year). The main characteristics of the disease were compared at the onset, at the time of initiation of Rituximab therapy and at 12 months after that. Results: the main baseline differences between the groups were statistically significantly higher disease activity according to the SLEDAI scale (p=0.003) and a higher incidence of macrophage activation syndrome (p=0.096), a higher average daily dose of glucocorticosteroids (GCS) in the ERP group (p=0.027). At the end of the study there were no statistically significant differences in the main outcomes of SLE between the compared groups. The main advantages of ERP were a statistically significantly shorter time to achieve a low daily dose of GCS (&lt;0.2 mg/kg) - 1.2 (0.9; 1.4) years compared to 2.8 (2.3; 4 .0) years (p&lt;0.001) and a higher likelihood of achieving a low dose of corticosteroids (RR=57.8 [95% CI: 7.2; 463.2], p&lt;0.001) and achieving remission (SLEDAI=0); RR=37.6 [95% CI: 4.45; 333.3], p&lt;0.001). During the research there were no statistically significant differences in the incidence of adverse events, including severe adverse events, between the compared groups of patients. Conclusion: ERP makes it possible to improve the control over the activity of jSLE and minimize the volume of GCS drugs with similar treatment outcomes and safety profile. Further research is required in order to determine the indications for biological therapy for jSLE.

Upper extremity vascular injuries: Etiology, management and outcome

BACKGROUND Vascular injuries of the upper extremities are considered relatively rare injuries affecting mostly the young population. They often are complex injuries accompanied by other musculoskeletal trauma or trauma in other anatomic locations. Their management is challenging since they can lead to disabilities with major socioeconomic effects. AIM To analyze data about the mechanism of injury, the management algorithm and functional outcomes of vascular injuries of the upper extremity. METHODS One hundred and fifteen patients (96 males and 19 females) with arterial injuries of the upper extremity treated in a tertiary trauma center from January 2003 to December 2022 was conducted. Mean patients’ age was 33.7 years and the mean follow up time was 7.4 years. Patients with Mangled Extremity Severity Score ≥ 7 and Injury Severity Score ≥ 20, previous upper limb surgery or major trauma and any neuromuscular or psychiatric disease were excluded, from the study. RESULTS A penetrating trauma was the most common cause of injury. The radial artery was the artery injured in most of the cases (37.4%) followed by the ulnar (29.5%), the brachial (12.1%) and the axillary (6%). A simultaneous injury of both of the forearm’s arteries was in 15.6% of the cases. In 93% of the cases there were other concomitant musculoskeletal injuries of the extremity. Tendon lacerations were the most common, followed by nerve injuries. The postoperative functional scores (full Disabilities of the Arm, Shoulder, and Hand and VAS) had very satisfactory values. CONCLUSION Although vascular injuries of the upper extremity are rare, they may occur in the context of major combined musculoskeletal trauma. Although a multidisciplinary approach is essential to optimize outcome, the ability of trained hand surgeons to repair all injuries in combined vascular and musculoskeletal upper extremity trauma, excluding isolated vascular injuries, ensures shorter operative times and better functional outcomes.

Active Inflammatory Bowel Disease Is Associated with Short Sleep Duration via Objective Measures.

Poor sleep quality has been associated with inflammatory bowel disease (IBD) activity, although studies incorporating actigraphy suggest that the perception of sleep differs rather than objective difference in sleep quality. Short sleep duration has been associated with increased pro-inflammatory cytokines that have been implicated in the pathogenesis of IBD. An observational study incorporated home-based polysomnography that was conducted within twelve weeks of an objective assessment of IBD activity such as calprotectin, colonoscopy, or MRI. Participants completed a survey on subjective measures of sleep quality, clinical IBD activity, depression, and anxiety. Polysomnography results were normalized by standardized results for a healthy population matched by gender and age. Twenty participants were included in the final analysis. Those with objective evidence of active IBD had shorter stage 2 sleep duration, leading to shorter NREM sleep and total sleep time. Sleep latency was also longer in those with active IBD, leading to worse sleep efficiency-despite no difference in time available for sleep between the two groups. These changes persisted after normalization of polysomnography results by health population age and gender matched norms. Depression scores correlated with sleep latency and stage 2 sleep duration and were associated with objectively active IBD. Objectively confirmed active IBD was associated with shorter sleep duration. Observed sleep changes may, in part, relate to coexistent depression. Further research should consider the utility of changes in sleep duration and quality as a means of longitudinally assessing objective IBD activity.

Surgical management of ovarian masses in children and adolescents: experience of an academic institution in France.

Surgical management of ovarian masses in girls still challenging. The aim of the study is to report an 8-year experience in managing children with ovarian masses, and to demonstrate the advantages and the limitations of laparoscopy for such lesions. Data of girls aged less than 18years operated because of an ovarian mass between January 2015 and February 2023 were retrospectively reviewed. Patients were divided into two groups: group A including children operated by laparoscopy, and Group B of patients who underwent open surgery. Eighty-eight children were enrolled. Laparoscopy was performed in 56 patients (63.6%). Group A patients had smaller tumor size (53.6±38.5 vs. 122.2±75.4mm, P<0.0001), shorter operative time (50.4±20.3 vs. 71.5±36.5min, P = 0.004), reduced length of hospital stay (1.4±1.1 vs. 3±2.3days, P<0.0001), and absence of postoperative complications. Only 3 cases (5.7%) of recurrence were seen exclusively within patients followed for benign tumors during a mean follow-up period of 4.6±3years. Laparoscopy should be done in benign ovarian lesions or/and if a torsion is seen. For tumors at high risk of malignancy, laparoscopy can be performed to establish a clear macroscopic diagnosis, for staging of the disease, and resection of small tumors. Conversion to open surgery is indicated in case of doubt.

The Beating Heart of Untapped Business Opportunities for Additive Manufacturing

This article presents two cases that join user-driven innovation and additive manufacturing (AM) to examine latent business opportunities for AM in the medical sector. The first case arose as a response to shortages during the early stages of the covid 19 pandemic. The second case, explored in more depth, came from maker-medical collaboration during preparation for a life-threatening operation. Surgeons, confronted with a patient with a delicate heart condition, collaborated with a prototyping facility to print a realistic 3D model of the patient’s aortic aneurysm. The model allowed the surgeons to first study and then experiment to determine the most effective operation procedure before the actual operation, which shortened the surgery time by approximately 70%. Reducing surgery time creates two forms of value: improving patient outcomes and reducing costs. Shorter times under anesthetic and on cardiopulmonary bypass correlate with better surgical results. Reducing healthcare costs brings broad societal benefits in both publicly and privately funded healthcare systems. We outline a case for makerspaces to capture value by joining their expertise and manufacturing equipment with the needs of nearby healthcare systems for novel business development.

Tropical grass digestibility assessed by the mobile bag and in vitro methods in horses

This study aimed to compare the digestibility of tropical grasses by horses by the in vivo method using mobile nylon bags with the in vitro digestibility method using horse feces as a source of inoculum. Five horses were used in a 2 × 5 factorial design with randomized blocks featuring two methods (in vivo and in vitro) and five grasses: Tifton 85 hay (Cynodon spp.), sixweeks threeawn grass (Aristida adsencionis, Linn), Alexandergrass (Brachiaria plantaginea (Link) Hitchc.), capim-de-raiz (Chloris orthonoton, Doell), and Sabi grass (Urochloa mosambicensis). No difference (P>0.05) was found between the in vivo and in vitro methods regarding nutrient digestibility of Sabi grass and sixweeks threeawn. Tifton 85 was the only grass that showed differences (P<0.05) between the two methods concerning the apparent digestibility of all nutrients. Alexandergrass, Tifton 85, and capim-de-raiz exhibited the best digestibility of dry matter, neutral detergent fiber, acid detergent fiber, and organic matter by the mobile bag method compared to the in vitro method. Tifton 85 and capim-de-raiz had higher crude protein digestibility by the mobile bag method than by the in vitro method. The mean retention time of the mobile bags in the digestive tract of the horses was 43.69 h. The bags with samples of sixweeks threeawn and Sabi grass had shorter retention times than capim-de-raiz and Alexandergrass (P<0.0001). It is concluded that, for sixweeks threeawn and Sabi grass, digestibility in horses can be assessed using the in vitro method in place of the mobile nylon bag method.

IMUPF-BIN: A new autonomous search method for radioactive sources

To solve the problem of mobile robots autonomously searching for unknown radioactive sources, this paper proposes an automatic source search strategy, abbreviated as IMUPF-BIN: the location of the radioactive source is estimated by improved unscented particle filtering (IMUPF) algorithm, and the search path is predicted and planned by bioinspired neural network (BIN) model. First, the search environment is expressed as an occupied grid map, and the BIN model is combined with the grid occupied map to obtain the environment information in the search process. Then, the unscented particle filter (UPF) which is used for source parameter estimation is improved by introducing the idea of linear optimization to improve the efficiency of particle usage and the diversity of particles. Further, the BIN model is introduced to reduce the influence of obstacles on the movement of the robot, thereby improving the search accuracy and efficiency of radioactive source. After the robot detects the radiation count value, the parameter information of the source is estimated through the IMUPF algorithm. By using the activity value of the BIN model and distributed model predictive control (DMPC) to plan the path, while continuously iterating the search process, the location of the radioactive source is finally determined. The simulation results show that in without obstacles environment, the localization accuracy of the IMUPF algorithm is improved by 85.6% and 52.8% compared to the standard particle filtering (PF) and UPF algorithm respectively, and the search time of the IMUPF-BIN algorithm is reduced by 75.9% compared to the gradient search (GS) algorithm. In obstacles environment, the localization accuracy of the IMUPF algorithm is improved by 80.8% and 35.9% compared to the PF and UPF algorithms respectively. In addition, the GS algorithm fails to search for the radioactive source due to the shield of obstacles, while the IMUPF-BIN algorithm can successfully search for radioactive source in a shorter search time.

Integrated Bioinformatic Analysis Reveals the Oncogenic, Survival, and Prognostic Characteristics of TPX2 in Hepatocellular Carcinoma.

Targeting protein for Xenopus kinesin-like protein 2 (TPX2), a well-known mitotic protein, has been linked to carcinogenesis in several cancers. This study investigated the role of TPX2 in hepatocellular carcinoma (HCC) from various aspects using bioinformatic analyses. TPX2 expression and its prognostic value in pan-cancers were analyzed using SangerBox. TPX2 expression and its association with prognosis, immune infiltration, tumor mutations, and signaling pathways in HCC were analyzed using UALCAN, BoxKaplan-Meier Plotter, GEPIA, Human Protein Atlas, TIMER 2.0, and SangerBox. Genes co-expressed with TPX2 in HCC were analyzed using the HCCDB database, followed by functional enrichment using SangerBox. Clinical predictive models were established based on TPX2 and its co-expressed genes using the ACLBI database. TPX2 expression significantly increased in pan-cancers and was associated with survival in nearly half of the cancer types. High TPX2 expression has been linked to poor survival outcomes in patients with HCC. TPX2 expression was positively correlated with abundant infiltration of immune cells (including B cells, CD4 + /CD8 + T cells, macrophages, neutrophils, and dendritic cells), TP53 mutation, and carcinogenesis-related pathways, such as the PI3K/AKT/mTOR pathway, cellular response to hypoxia, and tumor proliferation signature. Nineteen genes were found to be co-expressed with TPX2 in HCC, and these genes showed close positive correlations and were mainly implicated in cell cycle-related functions. A prognostic model established using TPX2 and its expressed genes could stratify HCC patients into high- and low-risk groups, with a significantly shorter survival time in high-risk groups. The prognostic model performed well in predicting 1-, 3-, and 5-year survival of patients with HCC, with areas under the curve of 0.801, 0.725, and 0.711, respectively. TPX2 functions as an oncogene in HCC, and its high expression is detrimental to the survival of patients with HCC. Thus, TPX2 may be a prognostic biomarker and potential therapeutic target for HCC.

Adaptive soft sensor using stacking approximate kernel based BLS for batch processes

To deal with the highly nonlinear and time-varying characteristics of Batch Process, a model named adaptive stacking approximate kernel based broad learning system is proposed in this paper. This model innovatively introduces the approximate kernel based broad learning system (AKBLS) algorithm and the Adaptive Stacking framework, giving it strong nonlinear fitting ability, excellent generalization ability, and adaptive ability. The Broad Learning System (BLS) is known for its shorter training time for effective nonlinear processing, but the uncertainty brought by its double random mapping results in poor resistance to noisy data and unpredictable impact on performance. To address this issue, this paper proposes an AKBLS algorithm that reduces uncertainty, eliminates redundant features, and improves prediction accuracy by projecting feature nodes into the kernel space. It also significantly reduces the computation time of the kernel matrix by searching for approximate kernels to enhance its ability in industrial online applications. Extensive comparative experiments on various public datasets of different sizes validate this. The Adaptive Stacking framework utilizes the Stacking ensemble learning method, which integrates predictions from multiple AKBLS models using a meta-learner to improve generalization. Additionally, by employing the moving window method—where a fixed-length window slides through the database over time—the model gains adaptive ability, allowing it to better respond to gradual changes in industrial Batch Process. Experiments on a substantial dataset of penicillin simulations demonstrate that the proposed model significantly improves predictive accuracy compared to other common algorithms.

Robotic Beating-Heart Totally Endoscopic Coronary Artery Bypass: Impact of Chest Wall Dimensions in Single and Multivessel Bypass.

There can be anatomical constraints on patient selection for minimally invasive surgery. For example, robot-assisted coronary artery bypass was reported to be more challenging when patients had a cardiothoracic ratio >50% and a sternum-vertebra anteroposterior and transverse diameter ratio <0.45. We sought to examine the impact of chest wall anatomic parameters on surgical outcomes in our totally endoscopic coronary artery bypass (TECAB) procedures. We retrospectively reviewed patients who underwent robotic TECAB, all of whom had a preoperative chest radiograph at our institution from July 2017 to October 2021. The cohort was divided into 2 groups, which were patients undergoing single-vessel grafting using the left internal thoracic artery (ITA; group 1) and patients undergoing multivessel grafting with bilateral ITA grafts (group 2). We measured several anatomical parameters from the preoperative chest radiograph. A total of 352 patients undergoing TECAB were retrospectively analyzed. After exclusions, 193 were included in this study. In group 1 (n = 91), no parameters correlated with operative time. In group 2 (n = 102), a significant negative correlation was observed between operative time and the sternum-vertebrae anteroposterior diameter (rs = -0.228, P = 0.022) and lung anteroposterior diameter (rs = -0.246, P = 0.013). To confirm these results in group 2, a propensity-matched analysis was performed and showed a statistically significant difference in surgical time based on chest anteroposterior diameters. In single-vessel robotic TECAB, chest wall anatomic dimensions measured on chest radiograph did not affect operative time. In multivessel cases with bilateral ITA grafts, larger anteroposterior diameter correlated with shorter operative times.

Energy-Efficient Edge and Cloud Image Classification with Multi-Reservoir Echo State Network and Data Processing Units.

In an era dominated by Internet of Things (IoT) devices, software-as-a-service (SaaS) platforms, and rapid advances in cloud and edge computing, the demand for efficient and lightweight models suitable for resource-constrained devices such as data processing units (DPUs) has surged. Traditional deep learning models, such as convolutional neural networks (CNNs), pose significant computational and memory challenges, limiting their use in resource-constrained environments. Echo State Networks (ESNs), based on reservoir computing principles, offer a promising alternative with reduced computational complexity and shorter training times. This study explores the applicability of ESN-based architectures in image classification and weather forecasting tasks, using benchmarks such as the MNIST, FashionMnist, and CloudCast datasets. Through comprehensive evaluations, the Multi-Reservoir ESN (MRESN) architecture emerges as a standout performer, demonstrating its potential for deployment on DPUs or home stations. In exploiting the dynamic adaptability of MRESN to changing input signals, such as weather forecasts, continuous on-device training becomes feasible, eliminating the need for static pre-trained models. Our results highlight the importance of lightweight models such as MRESN in cloud and edge computing applications where efficiency and sustainability are paramount. This study contributes to the advancement of efficient computing practices by providing novel insights into the performance and versatility of MRESN architectures. By facilitating the adoption of lightweight models in resource-constrained environments, our research provides a viable alternative for improved efficiency and scalability in modern computing paradigms.