bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modulation of autophagy and apoptosis can contribute to the anticancer effect of Abemaciclib/Celecoxib combination in colon cancer cells
Authors: Alian Dalia Mohamed Elsayed , Helmy Maged W. , Haroun Medhat , Moussa Nermine 
Published: January 2024

AbstractDrug resistance and recurrence represent a great challenge in colorectal cancer management, highlighting the urgent need for novel therapeutics. Our objective is to evaluate the influence of Abemaciclib, Celecoxib, and their combination on both the autophagic and apoptotic machinery in an attempt to unravel the interplay between them in HCT-116 and Caco-2 cell lines. The MTT assay was used to assess the GI50 of the drugs. ELIZA was used to determine the protein levels of Beclin-1, LC3, Cox-2, and Bcl-2. Active Caspase-3 was determined by a colorimetric assay. Gene expression levels of ATG5, LC3, Beclin-1, and p62 were assessed by quantitative real-time PCR. In HCT-116 cells, the GI50s for Abemaciclib and Celecoxib were 15.86 and 92.67 μM, respectively, while for Caco-2 cells, the GI50s were 7.85 and 49.02 μM for Abemaciclib and Celecoxib, respectively. Upon treatment of HCT-116 and Caco-2 cells with Abemaciclib, Celecoxib, and their combinations, ATG5, p62, LC3, and Beclin-1 gene expression levels were up-regulated. The protein levels of Beclin-1, LC3, and Caspase-3 were significantly increased, while Bcl-2 was decreased in both cell lines due to single and combined treatments. Both drugs, either alone or in combination, decreased the migration ability of the cells in both cell lines. To conclude, the treatment protocol has the potential to induce cell cycle arrest, diminish the potentiality of cells for migration, and initiate apoptotic and autophagic cell death. Further research is recommended to unravel the potential antitumor effects of Abemaciclib/Celecoxib combination in different cancer types.
Digitalisierung als Herausforderung für die Schulsozialarbeit?
Authors: Schleck Oliver 
Published: January 2024

ZusammenfassungAusgehend von der Annahme, dass Fragen rund um digitale Medien und deren Implikationen für pädagogische Überlegungen zunehmend bedeutsam werden für das aus professionstheoretischer Perspektive anspruchsvolle Arbeitsfeld der Schulsozialarbeit, beschäftigt sich das hier vorgestellte Dissertationsprojekt mit dem in der Alltagspraxis eingelagerten Wissen, den Haltungen sowie den Handlungsorientierungen sozialpädagogischer Akteur*innen in Schule im Hinblick auf Digitalisierung. Mittels narrativ-fundierter Einzelinterviews werden die subjektiven Ausführungen von Schulsozialarbeiter*innen zu diesen Dimensionen erhoben und mithilfe der Dokumentarischen Methode analysiert. Neben theoretischen Bezugspunkten sowie den grundlegenden Forschungsfragen werden die methodisch-methodologischen Überlegungen des Forschungsprojekts skizziert.
Psychometric Properties of the Mindfulness in Teaching Scale in a Sample of Portuguese Teachers
Authors: Barata-Gonçalves Miguel , Pires Luís , Carona Carlos , Damas Carlos A. M. de C. e , Coimbra Daniela , de Lima Margarida Pedroso , Frank Jennifer L. , Oliveira Albertina L. 
Published: January 2024

Abstract
Objectives
In recent years, there has been an increasing interest in scientific research examining the impact of mindfulness on teacher well-being and its implications for education. Thus, it is vital to have psychometrically robust measures suitable for educational settings. The current study aimed to validate a Portuguese version of the Mindfulness in Teaching Scale (MTS-PT).

Method
The MTS-PT was administered to a sample of teachers (n = 863), along with self-report measures and indicators of teacher well-being: job satisfaction, positive and negative affect, loneliness and positive solitude, self-compassion, and dispositional mindfulness. We examined the MTS-PT factorial validity, the reliability of its facets, convergent and divergent validity, factorial invariance, and assessed mean differences of its scores across teachers’ sociodemographic characteristics.

Results
Confirmatory Factor Analysis supported the original 2-related-factor structure of the MTS distinguishing Teacher Intrapersonal Mindfulness and Teacher Interpersonal Mindfulness. This model was invariant across sex, teaching years and educational levels taught by the participating teachers. Inferential tests revealed that more experienced teachers reported higher levels of intrapersonal mindfulness while elementary school teachers reported higher levels of interpersonal mindfulness. Reliability values were adequate to good in both dimensions. The MTS-PT subscales correlated positively with teacher well-being indicators, and inversely with negative affect and loneliness.

Conclusions
Overall, findings support the psychometric adequacy of the MTS-PT, suggesting that it is a reliable and valid self-report measure of teachers’ mindfulness. This instrument can bring relevant insights about teachers’ mindfulness facets and provide useful indications for the development and assessment of mindfulness-based interventions for teachers.
Enhanced Catalytic Performance of Carbon Nitride-Functionalized Titanium Dioxide through Efficient Oxygen Vacancy Defect Engineering for Electrochemical Recognition of Epinephrine
Authors: Saha Chandan , Ghosh Sarit K. , Kumari Pooja , Perla Venkata K. , Singh Harishchandra , Mallick Kaushik 
Published: January 2024

AbstractOxygen defect engineering is a reliable and efficient approach to modulate the electronic structure of metal oxides for the improvement of catalytic efficiency. In this work, carbon nitride supported titanium dioxide nanoparticle, with the space group of I41/amd, was prepared using a high temperature synthesis route. Transmission electron microscope study revealed that titanium dioxide particle were dispersed uniformly on the carbon nitride network. The X-ray photoelectron spectroscopy analysis predicted the formation of oxygen defects in the matrix of titanium oxide, and it also indicated the presence of titanium ions with mixed valence states. The synthesized hybrid system was evaluated as an electrocatalyst for the electrochemical detection of epinephrine using cyclic voltammetric and square wave voltammetric techniques. A custom-made device was also fabricated using synthesized hybrid material for the purpose of evaluating the electrochemical sensing of epinephrine in a pharmaceutical sample.
Risk maturity model for the maritime authorities: a Delphi study to design the R-Mare matrix model
Authors: Laine Valtteri , Valdez-Banda Osiris , Goerlandt Floris 
Published: January 2024

AbstractMaritime authorities have the administrative responsibility for the safety and security of shipping and the prevention of marine and atmospheric pollution caused by ships. This responsibility involves various tasks that can be supported through effective risk management, but currently, there are no models available to evaluate its level of maturity in maritime administrations. To fill this gap and respond to the needs identified by maritime authorities, this article introduces a new risk maturity model called the R-Mare matrix. This model is built on recent scientific knowledge in the field of risk management, and it has been designed in close cooperation with end-users and maritime risk management experts using the Delphi methodology. As a result of this process, the article provides a qualitative risk maturity matrix specifically tailored to support the self-evaluation of maritime authorities. The matrix consists of 17 state-of-the-art risk management attributes, a five-step risk maturity scale, and associated risk maturity grid descriptions. These elements can be used to evaluate the current risk management performance of maritime authorities, identify areas for improvement, and develop a plan to achieve a higher level of maturity. Overall, the R-Mare matrix model represents an important step forward in this field while laying the foundation for further development.
β-carboline derivative Z86 attenuates colorectal cancer cell proliferation and migration by directly targeting PI3K
Authors: Nie Shiyun , Chang Lizhong , Huang Ying , Zhou Heyang , Yang Qianqing , Kong Lingmei , Li Yan 
Published: January 2024

AbstractPhosphoinositide 3-kinase (PI3Ks) are lipid kinases widely involved in cell proliferation, metastasis and differentiation. Constitutive activation of the PI3K/Akt/mTOR signaling are well confirmed in colorectal cancers (CRCs). In this study, we identified isopropyl 9-ethyl-1-(naphthalen-1-yl)-9 H-pyrido[3,4-b] indole-3-carboxylate (Z86), as a novel PI3Kα inhibitor with the IC50 value of 4.28 µM. The binding of Z86 to PI3Kα was further confirmed with DARTS and CETSA assay. Immunofluorescence analysis and western blotting data demonstrated that Z86 effectively attenuated PI3K/AKT pathway. Z86 caused dramatic proliferation inhibition of CRCs through G0/G1 cycle arrest rather than apoptosis induction. Besides, the migration of CRCs was also relieved by Z86. The present study not only identified Z86 as a novel PI3Kα inhibitor with potent inhibitory efficiency on PI3K-mediated CRCs growth and migration, but also elucidated a reasonable molecular mechanism of Z86 in the Wnt signaling pathway inhibition.
Graphical Abstract
Hypothalamic-Ovarian axis and Adiposity Relationship in Polycystic Ovary Syndrome: Physiopathology and Therapeutic Options for the Management of Metabolic and Inflammatory Aspects
Authors: Lonardo Maria Serena , Cacciapuoti Nunzia , Guida Bruna , Di Lorenzo Mariana , Chiurazzi Martina , Damiano Simona , Menale Ciro 
Published: January 2024

Abstract
Purpose of Review
The goal of the present review is to address the main adiposity-related alterations in Polycystic Ovary Syndrome (PCOS) focusing on hypothalamic-pituitary-ovarian (H-P-O) axis and to provide an overview of nutraceutical and pharmacological therapeutic strategies.

Recent Findings
Female reproduction is a complex and delicate interplay between neuroendocrine signals involving the H-P-O axis. Elements that disrupt the balance of these interactions can lead to metabolic and reproductive disorders, such as PCOS. This disorder includes menstrual, metabolic, and biochemical abnormalities as well as hyperandrogenism, oligo-anovulatory menstrual cycles, insulin resistance, and hyperleptinemia which share an inflammatory state with other chronic diseases. Moreover, as in a self-feeding cycle, high androgen levels in PCOS lead to visceral fat deposition, resulting in insulin resistance and hyperinsulinemia, further stimulating ovarian and adrenal androgen production.
In fact, regardless of age and BMI, women with PCOS have more adipose tissue and less lean mass than healthy women. Excessive adiposity, especially visceral adiposity, is capable of affecting female reproduction through direct mechanisms compromising the luteal phase, and indirect mechanisms as metabolic alterations able to affect the function of the H-P-O axis.

Summary
The intricate crosstalk between adiposity, inflammatory status and H-P-O axis function contributes to the main adiposity-related alterations in PCOS, and alongside currently available hormonal treatments, nutraceutical and pharmacological therapeutic strategies can be exploited to treat these alterations, in order to enable a more comprehensive synergistic and tailored treatment.
Prenatal Exposure to Cannabis: Effects on Childhood Obesity and Cardiometabolic Health
Authors: Moore Brianna F. 
Published: January 2024

Abstract
Purpose of Review
To consolidate information on the obesogenic and cardiometabolic effects of prenatal exposure to cannabis.

Recent Findings
A PubMed search strategy updated from January 1, 2014, through 14 June 2023, produced a total of 47 epidemiologic studies and 12 animal studies. Prenatal exposure to cannabis is consistently associated with small for gestational age and low birth weight. After birth, these offspring gain weight rapidly and have increased adiposity and higher glucose (fat mass percentage) in childhood. More preclinical and prospective studies are needed to deepen our understanding of whether these associations vary by sex, dose, timing, and composition of cannabis (e.g., ratio of delta-Δ9-tetrahydrocannabinol [Δ9-THC] to cannabidiol [CBD]). Addressing these gaps may help to solidify causality and identify intervention strategies.

Summary
Based on the available data, clinicians and public health officials should continue to caution against cannabis use during pregnancy to limit its potential obesogenic and adverse cardiometabolic effects on the offspring.
The 2023 Earthquake in Türkiye and Implications for China’s Response to Catastrophe
Authors: Shi Peijun , Liu Lianyou , Fang Weihua , Liu Jifu , Wu Jidong , Jiang Lu , Chen Bo , Zhang Gangfeng , Zheng Hao , Zhang Yintong 
Published: January 2024

AbstractOn 6 February 2023, two 7.8 magnitude earthquakes consecutively hit south-central Türkiye, causing great concern from all governments, the United Nations, academia, and all sectors of society. Analyses indicate that there is also a high possibility of strong earthquakes with a magnitude of 7.8 or above occurring in the western region of China in the coming years. China is a country that is highly susceptible to catastrophic disasters such as earthquakes, floods, and other natural calamities, which can cause significant damages to both human life and property, as well as widespread impacts on the society. Currently, China’s capacity for disaster prevention and control is still limited. In order to effectively reduce the impact of catastrophic disasters, ensure the safety of people’s lives and property to the greatest extent possible, maintain social stability in high-risk areas, and ensure high-quality and sustainable regional development, it is urgent to improve the seismic resistance level of houses and critical infrastructure in high earthquake risk zones and increase the earthquake-resistant design level of houses in high-risk fault areas with frequent seismic activities; significantly enhance the ability to defend against extreme weather and ocean disasters in economically developed areas along the southeastern coast, as well as the level of fortification in response to extreme meteorological and hydrological disasters of coastal towns/cities and key infrastructure; vigorously enhance the emergency response capacity and disaster risk prevention level in western and ethnic minority regions; comprehensively improve the defense level of residential areas and major infrastructure in high geological hazard risk zones with flash floods, landslides, and mudslides; systematically promote national disaster prevention and mitigation education; and greatly enhance the societal disaster risk reduction ability, including catastrophic insurance.
Complex Regional Pain Syndrome: Updates and Current Evidence
Authors: Her Yeng F. , Kubrova Eva , Dombovy-Johnson Marissa , ElSaban Mariam , Mostert Karson , D’Souza Ryan S. 
Published: January 2024

Abstract
Purpose of Review
Complex regional pain syndrome (CRPS) is a debilitating condition that manifests with sensory, neurologic, autonomic, and/or trophic impairment. In addition to manifesting with severe neuropathic pain, CRPS is associated with poor quality of life and higher annual healthcare costs. This systematic review appraises the current body of evidence on all treatment modalities for CRPS.

Recent Findings
In patients with CRPS-related pain, there is level I evidence supporting modest to moderate improvement in pain intensity from physical therapy, occupational therapy, massage therapy, acupuncture, and transcutaneous electrical nerve stimulation (TENS), although changes in functionality were inconsistent. Topical medications such as eutectic mixture of local anesthetic (EMLA) and ketamine cream were associated with decreased allodynia and hyperalgesia. Inconsistency was present in the current literature in terms of the analgesic effects of gabapentinoids for CRPS. Patients who received intramuscular or intravenous bisphosphonate therapy may achieve modest to moderate improvement in pain intensity and functionality. Systemic steroid and ketamine provided only short-term pain reduction. In terms of interventional therapy, there was an association of modest to moderate improvement in pain with sympathetic ganglion block, sympathectomy, dorsal column spinal cord stimulation, dorsal root ganglion stimulation, and peripheral nerve stimulation, although the level of evidence was limited.

Summary
In summary, the purpose of this systematic review is to equip the clinician with important updates on conservative, pharmacologic, and interventional treatment modalities for CRPS-related pain.
A Review on Biocompatibility of Dental Restorative and Reconstruction Materials
Authors: Paqué Pune Nina , Özcan Mutlu 
Published: January 2024

Abstract
Purpose of Review
Confusion exists on the correct terminology and definitions associated with biocompatibility, including terms such as toxicity, health effects, and allergies. Therefore, this review aims to provide clarity by structuring and summarizing the current terminology, outlining the existing testing methods for each concept, and offering examples within dental material groups.

Recent Findings
New materials, such as nanomaterials and engineered living materials (ELM), have entered the dental field, requiring a deeper understanding of their biocompatibility. Additionally, recent regulatory changes, such as the European Medical Device Regulation (EU MDR), underscore the importance of standardized terminology and testing methods in this evolving landscape.

Summary
Measurements in biocompatibility are essential in biomedical applications, involving the interaction between materials and living tissues (host). Testing methods include in vitro, in vivo, clinical, and ex vivo approaches. While thresholds and guidelines, such as NOEL and LOAEL, ensure safe biomaterial use, dental materials, such as alloys, polymers, ceramics, and nanomaterials, exhibit varying biocompatibility and toxicity levels influenced by factors such as release rates, degradation, and chemical interactions. Nanoparticles hold promise but raise concerns about oxidative stress and long-term health effects. Regulatory bodies (i.e., FDA and EU MDR) play crucial roles in ensuring product safety. In conclusion, the dynamic field of dental materials requires ongoing adaptation, rigorous testing, and adherence to regulations for the safe and effective use of emerging technologies in dentistry.
Particle flow numerical study of size effect on uniaxial compressive strength of natural building stone
Authors: Yiouta-Mitra Paraskevi , Svourakis Konstantinos , Nomikos Pavlos 
Published: January 2024

AbstractThe fundamental influence of specimen size and micromechanical parameters on macroscopic structural behavior of natural building stone is investigated by particle flow numerical analysis. Laboratory tests of Dionysos marble cylindrical specimens under uniaxial compressive loading are simulated with a focus on the fracture development, failure mode and uniaxial compressive strength. Two series of simulations are performed with the PFC2D code, one to define the effects of different rates of deformation on the uniaxial compressive strength and fracturing of the specimens and the other to investigate the behavior of the specimens with the variation of five different parameters; platens velocity, specimen size, particle size distribution, standard deviation of randomized shear and normal strength as a micro-parameter and the ratio of shear to normal particle bonding strength. The specimen sizes also include rarely investigated smaller than NX dimensions. On selected specimens, the fracture development and the failure mode is depicted and discussed, and conclusions are drawn about the shear to tensile failure frequency and the crack patterns.
UAV Head-On Situation Maneuver Generation Using Transfer-Learning-Based Deep Reinforcement Learning
Authors: Hwang Insu , Bae Jung Ho 
Published: January 2024

AbstractRecently, the demand for unmanned aerial vehicle technology has increased. In particular, AI pilots through reinforcement learning (RL) are more flexible than those using rule-based methods. Further, AI pilots with RL are expected to replace human pilots in the future. In a recent study, rather than completely replacing humans, studies on AI pilots are conducted toward the collaboration between man and unmanned aircraft. AI pilots have several advantages over humans. For example, on the one hand, human pilots avoid head-on situations due to collision. On the other hand, AI pilots may prefer head-on situations to finish the episode quickly. This study proposes a two-circle-based transfer learning method to demonstrate excellent performance in head-on situations. Based on the experimental results, the proposed two-circle-based multi-task transfer learning model outperforms the model without transfer learning-based RL. A study on transfer-learning-based learning technique has been conducted. However, it had a one-circle-based learning technique was specialized only for tail-chasing, limiting its application (Bae et al. in IEEE Access 11:26427–26440, 2023). Practically, the proposed two-circle-based learning technique outperforms the one-circle-based transfer learning technique in head-on situations.
Driving into the future: a cross-cutting analysis of distributed artificial intelligence, CCAM and the platform economy
Authors: Guerreiro Augusto Marc , Acar Benjamin , Soto Andrea Carolina , Sivrikaya Fikret , Albayrak Sahin 
Published: January 2024

AbstractThe future of driving is autonomous. It requires a comprehensive stack of embedded software components, enabled by open-source and proprietary platforms at different abstraction layers, and then operating within a larger ecosystem. Autonomous driving demands connectivity, cooperation and automation to form the cornerstone of autonomous mobility solutions. Platform economy principles have revolutionized the way we produce, deliver and consume products and services worldwide. More and more businesses in the field of mobility and transport appear to implement transaction, innovation, and integration platforms as core enablers for Mobility-as-a-Service and transport applications. Artificial intelligence approaches, especially those dealing with distributed systems, enable new mobility solutions, such as autonomous driving. This paper contributes to understanding the intertwining role between distributed artificial intelligence, autonomous mobility and the resulting platform ecosystem. A systematic literature review is applied, in order to identify the intersection between those aspects. Furthermore, the research project BeIntelli is considered as a hands-on application of our findings. Taking into account our analysis and the aforementioned research project, we pose a blueprint architecture for autonomous mobility. This architecture is the subject of further research. Our conclusions facilitate the development and implementation of future urban transportation systems and resulting mobility ecosystems in practice.