bluuebunny/crossref_metadata_2025 huggingface dataset:
Application and use of artificial intelligence in colorectal cancer surgery: where are we?
Authors: Celotto Francesco , Capelli Giulia , Ferrari Stefania , Scarpa Marco , Pucciarelli Salvatore , Spolverato Gaya
Published: October 2024

AI is revolutionizing the landscape of colorectal cancer (CRC) surgery, permeating diverse facets ranging from intraoperative guidance to predictive modeling of postoperative outcomes. This scoping review aims to comprehensively delineate the breadth of artificial intelligence (AI) applications in CRC surgery. A search of PubMed, Embase, and Ebsco databases up to December 2023 was conducted, with registration in the international prospective register of systematic reviews (PROSPERO) (CRD42024502107). Sixty-two studies meeting stringent inclusion criteria were scrutinized, encompassing AI utilization in CRC surgery or the development of AI-driven tools for colorectal surgical practice. Five principal domains of AI application emerged: (i) Intraoperative guidance, leveraging real-time navigation, indocyanine green (ICG) angiography, and hyperspectral imaging (HSI) to enhance surgical precision; (ii) Image segmentation, facilitating phase recognition, tools recognition, and anatomical identification to optimize surgical visualization; (iii) Training and performance assessment, enabling objective evaluation and enhancement of surgical skills through AI-driven simulations and feedback mechanisms; (iv) Prediction of surgical complications, encompassing prognostication of anastomotic leakage (AL) or stricture, stoma requirements, and prediction of low anterior resection syndrome (LARS) and short-term postoperative complications; (v) Utilization of electronic health records (EHRs), harnessing AI algorithms to streamline data analysis and inform decision-making processes. This review underscores the paradigm-shifting impact of AI in CRC surgery, transcending conventional boundaries and catalyzing advancements across diverse surgical domains. Although many applications are still experimental, as AI continues to evolve, it promises to transform surgical practice, optimize outcomes, and revolutionize patient care. Embracing AI technologies is imperative for colorectal surgeons to remain at the vanguard of surgical innovation and deliver superior outcomes for CRC patients.
Exploring resistance to immune checkpoint inhibitors and targeted therapies in melanoma
Authors: Jalil Anum , Donate Melissa M , Mattei Jane
Published: October 2024

Melanoma is the most aggressive form of skin cancer, characterized by a poor prognosis, and its incidence has risen rapidly over the past 30 years. Recent therapies, notably immunotherapy and targeted therapy, have significantly improved the outcome of patients with metastatic melanoma. Previously dismal five-year survival rates of below 5% have shifted to over 50% of patients surviving the five-year mark, marking a significant shift in the landscape of melanoma treatment and survival. Unfortunately, about 50% of patients either do not respond to therapy or experience early or late relapses following an initial response. The underlying mechanisms for primary and secondary resistance to targeted therapies or immunotherapy and relapse patterns remain not fully identified. However, several molecular pathways and genetic factors have been associated with melanoma resistance to these treatments. Understanding these mechanisms paves the way for creating novel treatments that can address resistance and ultimately enhance patient outcomes in melanoma. This review explores the mechanisms behind immunotherapy and targeted therapy resistance in melanoma patients. Additionally, it describes the treatment strategies to overcome resistance, which have improved patients’ outcomes in clinical trials and practice.
Profiling the gut and oral microbiota of hormone receptor-positive, HER2-negative metastatic breast cancer patients receiving pembrolizumab and eribulin
Authors: Teng Nancy MY , Malfettone Andrea , Dalby Matthew J , Kiu Raymond , Seki David , Robinson Tim , Gion María , Bermejo Begoña , Pérez-García José Manuel , Prat Aleix , Vázquez Raúl Márquez , Llombart-Cussac Antonio , Curigliano Giuseppe , Schmid Peter , Barroso-Sousa Romualdo , Mancino Mario , Shimizu Eileen , Rodríguez-Morató Jose , Mina Leonardo , Hall Lindsay J , Robinson Stephen D , Cortés Javier
Published: October 2024

Aim: Changes in host-associated microbial communities (i.e., the microbiota) may modulate responses to checkpoint blockade immunotherapy. In the KELLY phase II study (NCT03222856), we previously demonstrated that pembrolizumab [anti-programmed cell death protein 1 (PD-1)] combined with eribulin (plus microtubule-targeting chemotherapy) showed encouraging antitumor activity in patients with hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer (mBC) who had received prior treatments.

Methods: A total of 58 fecal and 67 saliva samples were prospectively collected from a subset of 28 patients at baseline (BL), after three treatment cycles, and end of treatment. Shotgun metagenomics, 16S rRNA gene amplicon sequencing, and bioinformatics and statistical approaches were used to characterize fecal and oral microbiota profiles.

Results: Treatment caused no substantial perturbations in gut or oral microbiota, suggesting minimal drug-related microbial toxicity. Bacteroides and Faecalibacterium were the dominant gut microbiota genera, while Prevotella and Streptococcus were present in both oral and gut samples, highlighting potential gut-oral microbial interactions. Additionally, clinical benefit (CB) appeared to be associated with gut-associated Bacteroides fragilis (B. fragilis ) and a BL oral abundance of Streptococcus ≥ 30%. Notably, B. fragilis NCTC 9343 supernatant induced dose-dependent lactate dehydrogenase (LDH) release from the MCF-7 (HR-positive/HER2-negative) BC cell line.

Conclusion: These findings suggest that specific gut and oral microbiota may modulate the effectiveness of combinatory anti-BC therapies, potentially through the action of microbial metabolites.
Tagetes erecta y Azotobacter vinelandii inmovilizadas para la biorremediación de diésel en suelos agrícolas
Authors: Muñoz-de la Cruz Karina María , Valencia-Luna Gloria Anaí , Pérez-Armendáriz Beatriz , Ortega-Martínez Luis Daniel
Published: October 2024

La creciente demanda energética del petróleo y sus derivados ha ocasionado una alta incidencia de eventos ambientales que afectan negativamente los agroecosistemas, por lo que el estudio de herramientas biotecnológicas que permitan la descontaminación promete ser una alternativa sostenible. El objetivo de esta investigación fue evaluar la biorremediación de suelos agrícolas contaminados con diésel utilizando tratamientos de fitorremediación con Tagetes erecta y bioaumentación con Azotobacter vinelandii (libre e inmovilizada) en condiciones de invernadero. El ensayo de biorremediación tuvo una duración de 50 días. Las variables de respuesta fueron: bacterias totales heterótrofas en unidades formadoras de colonias (UFC/g), variables morfológicas de las plantas e hidrocarburos totales del petróleo (mg/kg). La toxicidad de los suelos biorremediados se evaluó por ensayos de genotoxicidad y citotoxicidad utilizando células de Allium sativum. La biorremediación mostró remoción significativa en todos los tratamientos con T. erecta, logrando porcentajes de remoción de 31.92 a 55.96 %. Por otra parte, la asociación de T. erecta y A. vinelandii libre presentó el mayor incremento de microorganismos heterótrofos totales con 3.83 × 1010 UFC/g de suelo (p = 0.00). En los parámetros morfológicos de Tagetes erecta el índice de calidad de Dickson, mostró un valor óptimo para los tratamientos con plantas (p = 0.02). No obstante, se observó efecto citotóxico y genotóxico en todos los tratamientos (índice mitótico ≤ 50 %, χ2 ≥ 3.84, respectivamente).
Heavy metals phytoextraction potential of Medicago sativa L. irrigated with waste and groundwater
Authors: García-Carrillo Mario , Flores-Hernández Eduardo Arón , Leos-Escobedo Lucio , Ramírez-Gottfried Ricardo Israel , Ruiz-Machuca Luz María , Luna-Ortega José Guadalupe , Preciado-Rangel Pablo , Concilco-Alberto Ernesto
Published: October 2024

Wastewater is generally used for crop irrigation purposes it since provides nutrients and organic matter to the soil. However, it can also add contaminants such as heavy metals. The objective of the present study was to evaluate the absorption and accumulation of lead and copper in the aerial and root parts of alfalfa (Medicago sativa L.) irrigated with raw wastewater, treated wastewater, and groundwater using the bioconcentration (BCF) and translocation (TF) factors. Three treatments (raw wastewater, treated wastewater, and groundwater) were tested in a randomized block design with four replicates. The results showed significant differences between treatments. The highest concentrations of lead and copper occurred in the aerial part of the alfalfa irrigated with raw wastewater. The TF factor for lead and copper was higher than one in all treatments; something similar was observed for the BCF, except in the groundwater treatment, indicating that alfalfa has the potential for phytoextraction.
Rubber Planting and Deforestation
Authors: Sheil Douglas , Descals Adrià , Meijaard Erik , Gaveau David
Published: October 2024

Wang et al. (Nature 623, 340—350; 2023)1 used satellite observations and phenological signatures to map and estimate the extent of planted rubber (Hevea brasiliensis Müll.Arg.), and associated deforestation, for eight Southeast Asian countries. Their assessment implies that planted rubber may have caused over 4 Mha of deforestation since 1993 — a value greater than assumed in setting deforestation policies. Unfortunately, their estimates rely on incorrect methods. In addition, their definition of “deforestation” is misleading because it includes all tree cover loss, not just natural forests, but also from established rubber gardens, and other plantations. Our assessment indicates that since 2001 the actual extent of deforestation associated with planted rubber is approximately one quarter that reported by Wang et al.
Comparative Secretory Efficiency of Two Chitosanase Signal Peptides from Bacillus subtilis in Escherichia coli
Authors: Eom Tae-Yang , Gang Yehui , Lee Youngdeuk , Kang Yoon-Hyeok , Jo Eunyoung , Marasinghe Svini Dileepa , Park Heung Sik , Park Gun-Hoo , Oh Chulhong
Published: October 2024

The production of recombinant proteins in Escherichia coli is often challenged by cytoplasmic expression due to proteolytic degradation and inclusion body formation. Extracellular expression can overcome these problems by simplifying downstream processing and improving protein yields. This study aims to compare the efficiency of two Bacillus subtilis chitosanase signal peptides in mediating extracellular secretion in E. coli. We identified a naturally occurring mutant signal peptide (mCsn2-SP) from B. subtilis CH2 chitosanase (CH2CSN), which is characterized by a deletion of six amino acids in the N-region relative to the signal peptide (Csn1-SP) from B. subtilis CH1 chitosanase (CH1CSN). The CH1CSN and CH2CSN genes were cloned into the pET-11a vector and protein secretion was evaluated in E. coli BL21(DE3) host cells. Expression was induced with 0.1 mM and 1 mM isopropyl β-D-1-thiogalactopyranoside (IPTG) at 30°C for one and three days. CH2CSN showed higher secretion levels compared to CH1CSN under all experimental conditions, especially with 0.1 mM IPTG induction for 3 days, which resulted in a 2.37-fold increase in secretion. Furthermore, it was demonstrated that mCsn2-SP is capable of secreting human Cu,Zn-superoxide dismutase (hSOD) in E. coli BL21(DE3) and successfully translocating it to the periplasmic region. This study represents the inaugural investigation into the utilisation of a naturally modified signal peptide, thereby corroborating the assertion that signal peptide deletion variants can influence protein secretion efficiency. Furthermore, the findings substantiate the proposition that such variants can serve as a viable alternative for the secretion of heterologous proteins in E. coli.
Post-COVID versus non-COVID Myocarditis: Comparison of Morphological Activity, Toll-Like Receptor Expression and Response to the Immunosuppressive Therapy
Authors: Blagova Olga , Kogan Evgeniya , Novosadov Vladimir , Brukhanov Valeriy , Zharkov Nikolay
Published: October 2024

Background. A direct clinical and morphological comparison of non-COVID myocarditis than was diagnosed before the SARS-CoV-2 pandemic and post-COVID myocarditis has not been performed so far. Purpose: to compare morphological activity, toll-like receptors expression and response to the immunosuppressive therapy in patients with non-COVID and post-COVID myocarditis. Metodhs. Seventy-seven patients (52 male and 25 female, 48.7±11.7 y.o.) with biopsy proven myocarditis, NYHA class 2 or more heart failure, ejection fraction (EF) <45% were included. A history of myocardial infarction, verified cardiomyopathies, systemic autoimmune diseases, viral DNA in the myocardium, except parvovirus B19, were exclusion criteria. The right ventricular endomyocardial biopsy with hematoxylin and eosin, Van Gieson stains, PCR for virus (herpes viruses, parvovirus B19, adeno-, enteroviruses and SARS-CoV-2), immunohistochemical study for CD3, CD45, CD68, CD20, nucleocapsid / spike proteins of SARS-CoV-2 and in addition toll-like receptors (TLR) type 4 and 9 expression (in 38 patients) were performed. The steroids (methylprednisolone 24-40 mg per day), azathioprine, mycophenolate mofetil were prescribed. The mean follow-up was 16 [6; 30] month. Results. In 45 patients, myocarditis was diagnosed before the SARS-CoV-2 pandemic (giant-cell in one case and lymphocytic in the others). Other 32 patients had post-COVID myocarditis positive for RNA or/and proteins of SARS-CoV-2 (giant-cell in one case, eosinophilic in three cases and lymphocytic in the others). There were no differences in age, NYHA class, CRP and anti-heart antibodies level, echocardiographic parameters (mean EF 30.2±7.8 vs 28.7±6.7%), parvovirus B19 positivity (22 vs 34%), doses of methylprednisolone (24-40 mg/day) and death / transplantation rate (11.1 vs 9.4%). Differences between non-COVID vs post-COVID myocarditis focused on higher CD3, CD 45*, TLR 4 (4+ vs 6+), TLR 9 (0 vs 2+) expression and better response to therapy [10% or more increase in EF in 53 vs 86%* of patients, mean EF (43.9±12.3 vs 49.8±7.6%*) by the end of follow-up], *p<0.05. Conclusion. Post-COVID myocarditis is characterised by different morphological types, higher morphological activity, tendency to higher TLR expression and the best response to the immunosupressive therapy in comparison with non-COVID myocarditis.
Spin(8, C)-Higgs Bundles and the Hitchin Integrable System
Authors: Antón-Sancho Álvaro
Published: October 2024

Let $\mathcal{M}(\text{Spin}(8,\mathbb{C}))$ be the moduli space of $\text{Spin}(8,\mathbb{C})$-Higgs bundles over a compact Riemann surface $X$ of genus $g\geq 2$. It admits a system, called Hitchin integrable system, induced by the Hitchin map, whose fibers are Prym varieties. Also, the triality automorphism of $\text{Spin}(8,\mathbb{C})$ acts on $\mathcal{M}(\text{Spin}(8,\mathbb{C}))$ and those Higgs bundles that admit a reduction of structure group to $G_2$ are fixed points of this action. This defines a map of moduli spaces of Higgs bundles $\mathcal{M}(G_2)\rightarrow\mathcal{M}(\text{Spin}(8,\mathbb{C}))$. In this work, the action of the triality automorphism is extended to an action on the Hitchin integrable system associated to $\mathcal{M}(\text{Spin}(8,\mathbb{C}))$. In particular, it is checked that the map $\mathcal{M}(G_2)\rightarrow\mathcal{M}(\text{Spin}(8,\mathbb{C}))$ restricts to a map at the level of the Prym varieties induced by the Hitchin map. Necessary and sufficient conditions are also provided for the Prym varieties associated with the moduli spaces of $G_2$ and $\text{Spin}(8,\mathbb{C})$-Higgs bundles to be disconnected. Finally, some consequences are drawn from the above results in relation to the geometry of the Prym varieties involved.
Bioneurofeedback and Bioimpedance: A New Paradigm for Nutritional Science in Long-Term Weight Management
Authors: Lombardo Claudio
Published: October 2024

This article introduces a new paradigm in nutritional science for long-term weight management, based on the integration of bioneurofeedback and bioimpedance analysis. Bioneurofeedback, a technique that combines the monitoring of physiological parameters with the modulation of brain activity, is employed to improve the self-regulation of eating behaviors by adjusting brainwave activity and reducing stress. Bioimpedance analysis provides a precise evaluation of body com-position, enabling the personalization of interventions according to individual physiological and metabolic characteristics. This integrated approach utilizes the principles of cybernetics and complex systems theory to better understand the interaction between mind and body, enhancing weight regulation through a dual top-down and bottom-up strategy. Additionally, the article discusses how an excess or deficiency in specific brainwaves can affect disordered eating behaviors, proposing biofeedback integration as a method to mitigate the yo-yo effect and promote sus-tainable lifestyle changes.
Effect of Adaptation to High Concentrations of Cadmium on Soil Phytoremediation Potential of the Middle-European Ecotype of a Cosmopolitan Cadmium Hyperaccumulator Solanum nigrum L
Authors: Miszczak Ewa , Stefaniak Sebastian , Cembrowska-Lech Danuta , Skuza Lidia , Twardowska Irena
Published: October 2024

Cosmopolitan character, and proven high and differentiated efficiency of Cd hyperaccumultor Solanum nigrum L. suggest possibility of optimizing its Cd phytoremediation capacity and applicability through searching among remote ecotypes/genotypes. However, the extensive studies on this hyperaccumulator have been limited to Far East (Asian) regions. Pioneer pot experiments on Middle European ecotype of S. nigrum with the use of concentration range 0-50 mg kg-1 Cd in soil, revealed its comparable to Asian ecotypes Cd phytoremediation capacity, but fundamentally different Cd tolerance threshold. It manifested itself in sharp biomass decline at Csoil ≈ 10 mg kg-1 Cd in Asian ecotypes versus gradual mild biomass decrease within the whole Csoil ≈ 0 -50 mg kg-1 Cd range with no crisis symptoms in Middle European ecotype. In its A50 variety adapted by using seeds originated from the first-generation plants grown in soil with Csoil ≈ 50 mg kg-1 Cd, cadmium tolerance, accumulation performance and all physiological parameters (chlorophyll, carotenoids, RuBisCO, and first- and second line defense antioxidant activity) were significantly enhanced while cell damage by ROS was considerably lesser. This makes Middle European ecotype and its adapted variety A50 particularly useful to sustainable decontamination of heavily polluted “hot spots” in the degraded post-industrial areas.
Research and Application of 3D Modeling and Rendering on CIM Basic Platform in Cesium Engine
Authors: Li Hong , Chen Zhihui , Li ZhiJing
Published: October 2024

With the development of the times, the objective requirement of CIM is to establish a 3D digital city. This article proposes a software front-end and back-end open source solution for the production and release of 3D modeling in different industries. This article is based on the construction practice of CIM basic platform database, and analyzes the spatial resolution and corresponding entity expression effect of 3D models in CIM basic platform from the perspective of CIM industry application, as well as the advantages and disadvantages of application. It also elaborates on the classification of 3D models and the geographic elements and buildings they contain, and introduces the relationship between 3D models and vector data, raster data, attribute data, as well as the difficulties of modeling technology. On this basis, large-scale 3D modeling and mapping experiments were conducted in the power industry, water industry, construction industry, and indoormap scene. The article has improved and optimized the algorithms for 3D excavation volume and wire azimuth, and introduced various parametric modeling techniques. From the perspective of project application and user feedback, the modeling quality, performance, and user experience have been recognized by the market. This article has certain reference value for the construction of the 3D model basic framework, theme oriented model system, modeling technology selection, and the release of massive 3D data services in the CIM basic platform construction.
Induction of Bayesian Networks and Distribution-Based Methods: A Comprehensive Approach to Probabilistic Modelling
Authors: Montgomery Richard Murdoch
Published: October 2024

Bayesian networks have emerged as a powerful tool for modelling complex probabilistic relationships in uncertain environments. The process of inducing Bayesian networks involves learning both the structure of the network and the parameters of the associated probability distributions. This paper provides a detailed examination of the two main approaches to Bayesian network induction: structure learning and parameter estimation, highlighting the use of both constraint-based and score-based techniques. Furthermore, the role of distribution-based methods in the estimation and inference of probabilistic models is explored. These methods, including Maximum Likelihood Estimation, Bayesian Estimation, and Monte Carlo techniques, offer robust ways to handle parameter uncertainty and facilitate efficient inference in large, complex models. This comprehensive view aims to bridge the gap between the theoretical foundations and practical applications of these methods, providing insights for researchers and practitioners in the field of machine learning and probabilistic reasoning.
The Role of Generative Artificial Intelligence in Solving the Housing Gap in the US for Low-Income FamiliesThe Role of Generative Artificial Intelligence in Solving the Housing Gap in the US for Low-Income Families
Authors: Ademowo Adedotun
Published: October 2024

The affordable housing crisis in the United States disproportionately affects low-income families, with millions facing severe housing cost burdens and limited access to adequate housing. This article explores the potential of generative artificial intelligence (AI) to address this housing gap by providing innovative, data-driven solutions that optimize housing development, design, and construction processes. By leveraging AI for predictive analysis, automated design, and construction optimization, stakeholders can significantly reduce costs, increase efficiency, and create sustainable housing that meets the needs of low-income populations. The article examines how AI can accurately predict future housing demand, generate efficient building designs, and streamline construction processes, while also addressing challenges such as equity, bias in AI models, and technical and financial barriers to implementation. Additionally, recommendations are provided for policymakers, developers, and community organizations to ensure that AI-driven housing solutions are deployed equitably and effectively. This paper concludes that while AI is not a standalone solution to the housing crisis, it has the potential to complement existing strategies and significantly improve access to affordable housing for low-income families across the U.S.
Extended Operational Space Kinematics, Dynamics, and Control of Redundant Serial Robots
Authors: Haug* Edward J. , Sapio Vincent De , Peidro Adrian
Published: October 2024

A recently developed differential geometric representation of redundant serial robot kinematics is employed to create an extended operational space dynamics and control formulation that explicitly accounts for redundant robot degrees of freedom. This formulation corrects deficiencies in kinematics and dynamics of redundant serial robots that have relied for over half a century on error prone generalized inverse velocity-based kinematics for redundancy resolution. New ordinary differential equations of robot operational space dynamics are obtained, without the need for ad-hoc derivation, in terms of task coordinates and self-motion coordinates that represent robot redundancy. A new extended operational space control approach is presented that exploits ordinary differential equations of motion in term of task and self-motion coordinates. This enables enforcement of desired output trajectories, in tandem with direct enforcement of self-motion dependent operational space trajectories that are subject to obstacle avoidance and performance constraints. Four examples are presented with a one degree of redundancy robot that demonstrate validity and superior performance of the new formulation, relative to traditional task space methods used for redundant serial robot control. Finally, an example with eight degrees of redundancy is presented that further illustrates superior performance of the new formulation.
Identification of LncRNAs Associated Proteins Using Mass Spectrometry-Based Proteomics Landscape for Unlocking the Secrets of Cancer
Authors: Hussain Mohammad Shabir , Vij Puneet , Tripathi Manish Kumar
Published: October 2024

Background/Objectives: To develop a novel method for isolating proteins associated with Long Non-coding RNAs (LncRNAs) using high-throughput Liquid Chromatography Mass Spectrometry (LC-MS) and proteomics approaches for identifying cancer-associated proteins involved in post-translational modifications (PTMs) such as glycosylation, phosphorylation, citrullination, methylation, and acetylation. Additionally, the focus is on identifying and quantifying differentially modulated or regulated proteins associated with LncRNAs to discover novel molecular signatures or biomarkers.
Methods: Identification, quantification, and characterization of LncRNAs associated pro-teins by using Label free Quantification (LFQ) of proteins by Nono LC-Mass Spectrometry (LC-MS)., use Employ bioinformatics, biostatistics analysis for find out the differentially expressed, exclusive protein or modulated., find outInvestigate the mechanisms and pathways involving these unique or specific proteins analysis of unique/specific proteins and Validation of these unique/specific proteins by Immunohistochemistry (IHC) and western blotting/ enzyme-linked immunosorbent assay (ELISA) for to achieve better out-come.
Conclusions: Identified and validated novel proteins associated with LncRNAs could be early detective molecular biomarkers of cancer and it could be useful in clinical practice for diagnosis, prognosis of liver, colorectal and other several types of cancer types.
Ehrlichia Canis Vaccine Development: Challenges and Advances
Authors: Alves-Ribeiro Bruna Samara , Duarte Raiany Borges , Assis-Silva Zara Mariana de , Gomes Ana Paula Carvalho , Silva Yasodaja Assis , Fernandes-Silva Lizandra , Rocha Alice Caroline da Silva , Moraes Iago de Sá , Saturnino Klaus Casaro , Ramos Dirceu Guilherme de Souza , Taques Isis Indaiara Gonçalves Granjeiro , Braga Ísis Assis
Published: October 2024

Canine monocytic ehrlichiosis (CME) is an infectious disease caused by Ehrlichia canis, a globally recognized obligate intracellular bacterium. In addition to dogs, other animals, including humans, may be affected. Despite its epidemiological importance and impact on public health, there is currently no commercial vaccine against E. canis. This study aimed to present relevant aspects of the challenges and advances encountered in the development of vaccines for CME and highlight perspectives for future investigations. High genetic variability, along with the various evasion mechanisms employed by E. canis, has hindered the identification of an antigen that targets Th1 cells and is immunogenic to most E. canis isolates, considering their distinct antigenic characteristics. To achieve robust immunity, the vaccine must predominantly confer cellular and humoral immunity. Early production efforts have been challenging owing to low immunogenicity, difficulties in establishing long-term protection, and limitations of the techniques used. However, with the refinement of bioinformatic tools, research in this area will be facilitated, thereby accelerating the development of effective vaccines for CME. According to these authors, a vaccine should consist of multiple epitopes.
Bioremediation of Lead in the Water by the Microbiome
Authors: Reddy Saahith , Drougel Marc
Published: October 2024

Anthropogenic activity like Industrialization has unleashed vast quantities of organic pollutants, including heavy metals. The hazardous heavy metals can cause cancer, neurocognitive defects and wide-ranging health problems. The pollutants resist environmental degradation and can often accumulate in the environment. Microbial degradation of pollutants is a potentially efficient solution for pollution remediation. Amongst the heavy metals, lead contamination resulting from anthropogenic activity have resulted in tragic consequences since the advent of human civilization, even in 21st century as demonstrated by the Flint water crisis in the US. Bioremediation of lead from the environment could be attempted by various strategies, including mitigation of human activity that causes it in the first place. Microbiome, specifically bacteria, mediated bioremediation can serve as a potent platform for remediating environmental pollution with heavy metals such as lead. Herein we will review the mechanisms and methods of microbial bioremediation of environmental heavy metals with a focus on lead and highlight the challenges and opportunities.
Porcine Recombinant Nk-Lysin Inhibits the Growth and Metastasis of Hepatocellular Carcinoma In Vivo
Authors: Fan Kuohai , Feng Zhiwei , Zhao Dahai , Guo Jianhua , Zheng Xiaozhong , Yin Wei , Sun Na , Sun Panpan , Li Hongquan
Published: October 2024

Porcine recombinant NK-lysin (prNK-lysin) has been shown to inhibit the proliferation and metastasis of hepatocellular carcinoma (HCC) cells in vitro. However, its effects on the proliferation and metastasis of HCC cells in vivo remain unclear. In this study, allograft murine model using the murine HCC cell line Hepa1-6 was employed to investigate the anticancer effects of prNK-lysin. Initially, the in vitro anticancer efficacy of prNK-lysin was evaluated on Hepa1-6 cells, demonstrating that prNK-lysin effectively inhibited both proliferation and metastasis through the induction of oncosis. Subsequently, the in vivo anticancer efficacy of prNK-lysin was assessed using a mouse liver orthotopic implantation model and a lung metastasis model of Hepa1-6 cells in BALB/cA-nu mice. Administration of 13 mg/kg prNK-lysin could inhibited tumor growth in the liver and metastasis to the lungs. Our results demonstrate that prNK-lysin possesses strong anti-HCC effects both in vitro and in vivo, with the induction of oncosis as potential molecular mechanisms for its anticancer activity.
Methyl Mercaptan removal from Methane using Metal-Oxides and Aluminosilicate Materials
Authors: Martinez-Zuniga Gerson , Antwi Samuel , Soni-Castro Percival , Olayiwola Olatunji , Maksym Chuprin , Holmes William , Buchireddy Prashanth , Gang Daniel , Revellame Emmanuel , Zappi Mark E. , Hernandez Rafael
Published: October 2024

Methyl Mercaptan is a sulfur-based chemical found as a co-product in produced natural gas and causes corrosion in pipelines, storage tanks, catalysts, and solid adsorption beds. To improve the quality of methane produced, researchers studied the use of metal oxides and aluminum silicates as catalysts for removing mercaptan. However, there are restricted limitations on the efficiency of metal oxides or aluminum silicates as adsorbents for this particular application. Therefore, this study investigated the performance of these materials in a fixed-bed reactor with simulated natural gas streams under various operating conditions. The testing procedure includes a detailed assessment of the adsorbent/catalysts by several techniques, such as Braeuer-Emmett-Teller (BET), Scanning Electron Microscope (SEM), Energy-Dispersive X-ray Spectrometry (EDS), and X-ray Photoelectron Spectroscopy. The result revealed that metal oxides such as copper, manganese, and zinc performed well in methyl mercaptan elimination. The addition of manganese, copper, and zinc oxides to the aluminum silicate surface resulted in a sulfur capacity of 1226 mg S/g of catalyst. These findings provide critical insights for the development of catalysts that combine metal oxides to increase adsorption while reducing the production of byproducts like dimethyl sulfide (DMS) and dimethyl disulfide (DMDS) during methyl mercaptan removal.
Two-Step Image Registration for Dual-Layer Flat-Panel Detectors
Authors: Kim Dong Sik , Lee Dayeon
Published: October 2024

For a single exposure in radiography, a dual-layer flat-panel detector (DFD) can provide spectral images based on copper filtering or beam hardening, and efficiently utilize the transmitted x-ray photons to improve the detective quantum efficiency (DQE) performance. In this paper, we present a registration method for x-ray images acquired from DFD considering only spatial translations and scale factors. Note that the spatial translation difference between the upper and lower detector layers arises when attaching the layers, and the scale difference arises from the x-ray projection relative to the source and detector distances. The conventional registration methods have inconsistent estimate accuracies depending on the captured object scene even when using entire pixels, and have deteriorated frequency performance due to the interpolation method employed. The proposed method consists of two steps; the first step is conducting a spatial translation according to the Fourier shift theorem with a subpixel registration, and the second step is conducting a scale transformation using cubic interpolation to process the x-ray projections. To estimate the subpixel spatial translation, a maximum-amplitude method using a small portion of the slant-edge phantom is used. The performance of the proposed two-step method is first theoretically analyzed, and then observed by conducting extensive experiments and measuring the noise power spectrum and DQE. An example for registering chest images is also shown. For DFD, it is shown that the proposed method shows a better registration result than the conventional one-step registration.
Joint Fault Diagnosis of Igbt and Current Sensor in LLC Resonant Converter Module Based on Reduced Order Interval Sliding Mode Observer
Authors: Zha Xi , Feng Wei , Zhang Xianfeng , Cao Zhonghua , Chen Xinyang
Published: October 2024

LLC resonant converters have emerged as essential components in DC charging station modules, thanks to their outstanding performance attributes such as high power density, efficiency, and compact size. The stability of these converters is crucial for vehicle endurance and passenger experience, making reliability a top priority. However, malfunctions in the switching transistor or current sensor can hinder the converter’s ability to maintain a resonant state and stable output voltage, leading to a notable reduction in system efficiency and output capability.This article proposes a fault diagnosis strategy for LLC resonant converters utilizing a reduced order interval sliding mode observer. Initially, an augmented generalized system for the LLC resonant converter is developed to convert current sensor faults into generalized state vectors. Next, the application of matrix transformations plays a critical role in decoupling open-circuit faults from the inverter system’s state and current sensor faults. To achieve accurate estimation of phase currents and detection of current sensor faults, a reduced-order interval sliding mode observer has been designed. Building upon the estimation results generated by this observer, a diagnostic algorithm featuring adaptive thresholds has been introduced. This innovative algorithm effectively differentiates between current sensor faults and open switch faults, enhancing fault detection accuracy. Furthermore, it is capable of localizing faulty power switches and estimating various types of current sensor faults, thereby providing valuable insights for maintenance and repair. The robustness and effectiveness of the proposed fault diagnosis algorithm have been validated through experimental results and comparisons with existing methods, confirming its practical applicability in real-world inverter systems.
An Analytical Solution to Rectangular Kirchhoff Plates Supported at All Corner Points Using Two Single Series and the Boundary Collocation Method
Authors: Fogang Valentin
Published: October 2024

The aim of this paper is the analysis of arbitrarily loaded isotropic rectangular Kirchhoff plates supported at all corner points, whereby the edges are arbitrarily supported (simply supported, clamped, or free). Analytical methods commonly used include the single trigonometric series of Lévy, the double trigonometric series of Navier, the power series expansions, etc. In this paper the deflection surface was approximated with the sum of a particular solution to the governing differential equation (GDE) and two single series. The terms of the single series were the product of an unknown function of an independent variable and a trigonometric function of the other independent variable, whereby the trigonometric functions were chosen to vanish at the corner points. On the one hand the terms of the series were required to satisfy the homogeneous GDE, leading to two uncoupled differential equations, one for each unknown function, and so the approximate solution satisﬁed exactly the GDE. On the other hand the boundary conditions were satisﬁed only at selected collocation points along the boundary, the number of collocation points in each direction corresponding to the number of terms of the associated series. Results for several plates supported at all corner points with arbitrary edge support conditions were presented and showed good agreement with the exact results, the accuracy increasing the more terms of series were considered. Cantilevered plates and plates having two adjacent edges free will be analyzed using this approach in future research.
Innovative Immunotherapeutic Strategies for Gastric Cancer a Comprehensive Review
Authors: Sheikh Mujibullah , Jirvankar Pranita
Published: October 2024

Gastric cancer is among the prevalent types of cancer that cause high mortality rates globally, due to which worrisome new therapeutic approaches cannot be ruled out. The present review aims at providing an extensive overview of the recent development in the field of immunotherapy for gastric cancer, with a special reference to exosomes and their potential for regulating tumor progression. In this review, we provide a stepwise approach towards understanding of the status of knowledge of exosomes in intercellular communication comprehensively discussing biochemical contents, immune modulation, drug resistance and disease progression. Inclusive in our search strategy are the articles published in the last 15 years, and using keywords such as “exosomes,” “immunotherapy,” and “gastric cancer.” For this systematic review, two rounds of article filtering were conducted before reviewing of the articles and their findings thoroughly. This field’s specific areas of focus embrace the functionalities attached to the exosome-associated microRNAs, processes on which the exosome signalling depends on, and the utilization of non-tumor cell-derived exosomes in the tumor microenvironments. Combining these findings, this review seeks to systematically identify and discuss the roles of exosomes in biomarkers and novel targets for GC treatment. In conclusion, our current study supports further exploration of the application of exosomal biology to enhance immunotherapeutic approaches in gastric cancer treatment.’
The Influence of Bariatric Surgery on Matrix Metalloproteinase Plasma Levels in Patients with Type 2 Diabetes Mellitus
Authors: Gentile João Kleber Almeida , Migliore Renato , Waisberg Jaques , Ribeiro Junior Marcelo Augusto Fontenelle
Published: October 2024

Background: Bariatric surgery is a safe and effective procedure for treating obesity and metabolic conditions such as type 2 diabetes mellitus (T2DM). Remodeling of the extracellular matrix (ECM) supports adipose tissue expansion and its metabolic activity, where matrix metalloproteinases (MMPs) play a key role in ECM regulation. The substrates of MMPs, particularly MMP-2 and MMP-9, are elevated in patients with morbid obesity, metabolic syndrome, and T2DM. Objectives: To evaluate the effect of weight loss in bariatric surgery patients using oxidative stress markers and to compare MMP levels in patients undergoing Roux-en-Y gastric bypass (RYGB) and vertical gastrectomy (VG). Methods: This was a prospective, controlled study including 45 morbidly obese patients with T2DM (BMI > 35 kg/m²) who underwent RYGB (n=24) or VG (n=21). Weight loss was assessed through anthropometric measurements (weight, height, BMI). MMP-2 and MMP-9 levels were measured preoperatively and at 3 and 12 months postoperatively. Results: Significant and sustained weight loss was observed after surgery in both groups, with reductions in BMI. MMP-2 and MMP-9 levels decreased significantly after one year of follow-up. Conclusions: Bariatric surgery is an effective long-term intervention for weight loss and associated comorbidities, including T2DM. MMP-2 and MMP-9 proved to be effective inflammatory markers, with significant reductions following surgery.
Momentum Conservation in a Charged Retarded Field Engine
Authors: Sharma Prachi , Yahalom Asher
Published: October 2024

Addressing the potential conflicts between momentum conservation laws and retardation requires a comprehensive understanding of both principles within the context of specific physical systems and theoretical frameworks. Indeed it was claimed that a relativistic engine is impossible due to the lack of linear momentum conservation. The purpose of this work is to settle this issue by demonstrating that linear momentum is indeed conserved for a charged retarded field engine. Earlier research has already introduced the concept of a charged retarded engine. The system gains mechanical momentum and energy when it is subjected to a total force for a certain amount of time. If retardation is taken into account a total force is present even if no external force affects the system, thus momentum seems to appear from nowhere violating the law of momentum conservation. However, momentum is indeed conserved as the present work demonstrates. We present a mathematical proof that the momentum is conserved in a time dependent electromagnetic retarded motor. The expression of field momentum comes out to be equal and opposite to the mechanical momentum gained by the material system as obtain in . This calculation of charged relativistic engine is an extension work of papers published earlier , which explored a non-charged relativistic engine. We prove that the total momentum in a relativistic motor including both material and electromagnetic linear momentum is indeed conserved as dictated by Noether’s theorem.
The Role of Protein-Lipid Interactions in Priming the Bacterial Translocon
Authors: Sinclair Matt , Tajkhorshid Emad
Published: October 2024

Protein-lipid interactions demonstrate important regulatory roles in the function of membrane proteins. Nevertheless, due to the semi-liquid nature and heterogeneity of biological membranes, dissecting the details of such interactions at high resolutions continues to pose a major challenge to experimental biophysical techniques. Computational techniques such as molecular dynamics (MD) offer an alternative approach with both temporally and spatially high resolutions. Here we present an extensive series of MD simulations focused on the inner membrane protein YidC (PDB: 6AL2) from Escherichia coli, a key insertase responsible for the integration and folding of membrane proteins. Notably, we observed rare lipid fenestration events, where lipids fully penetrate the vestibule of YidC, providing new insights into the lipid-mediated regulation of protein insertion mechanisms. Our findings highlight the direct involvement of lipids in modulating the greasy slide of YidC and suggest that lipids enhance the local flexibility of the C1 domain, which is crucial for recruiting substrate peptides. These results contribute to a deeper understanding of how lipid-protein interactions facilitate the functional dynamics of membrane protein insertases, with implications for broader studies of membrane protein biology.
The Ultimate Tensile Strength of SiC/SiC Composites: Multiscale Approach
Authors: Lamon Jacques
Published: October 2024

The present paper tackles the important issue of tensile ultimate strength of ceramic matrix composites, using a multiscale approach. The ultimate strength is investigated at the successive increasing length scales inherent to 2D woven SiC/SiC composites, i.e. single filaments, fiber tow, minicomposites reinforced with a single tow, and 2D woven composite. First experimental results on tensile behavior under strain-controlled conditions are summarized for tows, minicomposites and composites. Then, models of tow ultimate failure under controlled force and strain are presented. A criterion of tow failure is developed for filament fracture initiation and then propagation based on applied stress and on filament strength gradient. The model of ultimate failure of minicomposite under strain-controlled condition is based on the strength of filaments in the presence of matrix cracks and the overstress induced by interactions of broken filaments and the matrix. The variability of ultimate strengths of filaments, minicomposites and composites at various gauge lengths is described by linear p-quantile diagrams which indicates that the data follow normal distribution function. The contribution of structural effects to variability of composite and minicomposite strength under strain-controlled loading is analyzed. Their dependence on specimen size is related to reproducibility of critical flaw population and structural effects.
Robust Semis-Infinite Interval Equilibrium Problem Involving Data Uncertainty: Optimality Conditions and Duality
Authors: Ruiz-Garzón Gabriel , Osuna-Gómez Rafaela , Rufián-Lizana Antonio , Beato-Moreno Antonio
Published: October 2024

In this paper, we model uncertainty in both the objective function and the constraints for the robust semi-infinite interval equilibrium problem involving data uncertainty. We particularize these conditions for the robust semi-infinite mathematical programming problem with interval-valued functions by extending results from the literature. We introduce the dual robust version of the above problem, prove the Mond-Weir type weak and strong duality theorems, and illustrate with an example.
On the Performance of RIS-NFC for mmWave Communications
Authors: Gu Jinyuan , Duan Wei , Song Feifei , Zhang Huaiping
Published: October 2024

Utilizing reconfigurable intelligent surfaces (RIS) equipped with numerous passive reflecting elements to control wireless communication environment has garnered significant interest from both academic and industrial circles. In this paper, we study the performance of RIS-aided wireless communication systems based on the path loss model in lower frequency band and mmWave band. Based on the proposed model, it is difficult to directly study and obtain the closed-form expressions for the achievable capacity, since that millimeter- wave (mmWave) band may lead to the near-field communication (NFC) environment. Consequently, the upper bound of the achievable capacity are analysed with Hölder inequality in NFC. Simulation and analytical results indicate the correctness of our derived expressions, which shows that the RIS elements number, the RIS elements length, and the angle of signals transmitting from RIS to user can affect the upper bound of achievable capacity for our proposed system.