bluuebunny/crossref_metadata_2025 huggingface dataset:
Prognostic Value of Metastatic Lymph Node Ratio and Identification of Factors Influencing the Lymph Node Yield in Patients Undergoing Curative Colon Cancer Resection
Authors: Mroczkowski Paweł , Kim Samuel , Otto Ronny , Lippert Hans , Zajdel Radosław , Zajdel Karolina , Merecz-Sadowska Anna
Published: January 2024

Due to the impact of nodal metastasis on colon cancer prognosis, adequate regional lymph node resection and accurate pathological evaluation are required. The ratio of metastatic to examined nodes may bring an additional prognostic value to the actual staging system. This study analyzes the identification of factors influencing a high lymph node yield and its impact on survival. The lymph node ratio was determined in patients with fewer than 12 or at least 12 evaluated nodes. The study included patients after radical colon cancer resection in UICC stages II and III. For the lymph node ratio (LNR) analysis, node-positive patients were divided into four categories: i.e., LNR 1 (<0.05), LNR 2 (≥0.05; <0.2), LNR 3 (≥0.2; <0.4), and LNR 4 (≥0.4), and classified into two groups: i.e., those with <12 and ≥12 evaluated nodes. The study was conducted on 7012 patients who met the set criteria and were included in the data analysis. The mean number of examined lymph nodes was 22.08 (SD 10.64, median 20). Among the study subjects, 94.5% had 12 or more nodes evaluated. These patients were more likely to be younger, women, with a lower ASA classification, pT3 and pN2 categories. Also, they had no risk factors and frequently had a right-sided tumor. In the multivariate analysis, a younger age, ASA classification of II and III, high pT and pN categories, absence of risk factors, and right-sided location remained independent predictors for a lymph node yield ≥12. The univariate survival analysis of the entire cohort demonstrated a better five-year overall survival (OS) in patients with at least 12 lymph nodes examined (68% vs. 63%, p = 0.027). The LNR groups showed a significant association with OS, reaching from 75.5% for LNR 1 to 33.1% for LNR 4 (p < 0.001) in the ≥12 cohort, and from 74.8% for LNR2 to 49.3% for LNR4 (p = 0.007) in the <12 cohort. This influence remained significant and independent in multivariate analyses. The hazard ratios ranged from 1.016 to 2.698 for patients with less than 12 nodes, and from 1.248 to 3.615 for those with at least 12 nodes. The LNR allowed for a more precise estimation of the OS compared with the pN classification system. The metastatic lymph node ratio is an independent predictor for survival and should be included in current staging and therapeutic decision-making processes.
Extracellular Matrix Cues Regulate Mechanosensing and Mechanotransduction of Cancer Cells
Authors: Mierke Claudia Tanja
Published: January 2024

Extracellular biophysical properties have particular implications for a wide spectrum of cellular behaviors and functions, including growth, motility, differentiation, apoptosis, gene expression, cell–matrix and cell–cell adhesion, and signal transduction including mechanotransduction. Cells not only react to unambiguously mechanical cues from the extracellular matrix (ECM), but can occasionally manipulate the mechanical features of the matrix in parallel with biological characteristics, thus interfering with downstream matrix-based cues in both physiological and pathological processes. Bidirectional interactions between cells and (bio)materials in vitro can alter cell phenotype and mechanotransduction, as well as ECM structure, intentionally or unintentionally. Interactions between cell and matrix mechanics in vivo are of particular importance in a variety of diseases, including primarily cancer. Stiffness values between normal and cancerous tissue can range between 500 Pa (soft) and 48 kPa (stiff), respectively. Even the shear flow can increase from 0.1–1 dyn/cm2 (normal tissue) to 1–10 dyn/cm2 (cancerous tissue). There are currently many new areas of activity in tumor research on various biological length scales, which are highlighted in this review. Moreover, the complexity of interactions between ECM and cancer cells is reduced to common features of different tumors and the characteristics are highlighted to identify the main pathways of interaction. This all contributes to the standardization of mechanotransduction models and approaches, which, ultimately, increases the understanding of the complex interaction. Finally, both the in vitro and in vivo effects of this mechanics–biology pairing have key insights and implications for clinical practice in tumor treatment and, consequently, clinical translation.
Maternal Influenza and Offspring Neurodevelopment
Authors: Egorova Marya , Egorov Vladimir , Zabrodskaya Yana
Published: January 2024

This review examines the complex interactions between maternal influenza infection, the immune system, and the neurodevelopment of the offspring. It highlights the importance of high-quality studies to clarify the association between maternal exposure to the virus and neuropsychiatric disorders in the offspring. Additionally, it emphasizes that the development of accurate animal models is vital for studying the impact of infectious diseases during pregnancy and identifying potential therapeutic targets. By drawing attention to the complex nature of these interactions, this review underscores the need for ongoing research to improve the understanding and outcomes for pregnant women and their offspring.
The Onset and Early Stages of Dynamic Wetting of Superspreading and Non-Superspreading Trisiloxane Surfactant Solutions on Hydrophobic Surfaces
Authors: Bertola Volfango
Published: January 2024

The onset and early stages of dynamic wetting on different hydrophobic surfaces is investigated experimentally for aqueous solutions of two commercial trisiloxane surfacants of similar chemical structure, one of which exhibits superspreading behaviour, in order to investigate the spreading dynamics independently of the surface activity. Superspreading, or the ability of a surfactant solution to spread on a surface beyond the state determined by thermodynamic equilibrium, has been investigated for more than 30 years however its physical mechanism remains poorly understood to date despite its important applications in the formulation of agrochemicals. Surfactant solutions were prepared by dissolving S233 and S240 surfactants (Evonik Industries AG, Essen, Germany) into de-ionised water at a weight concentration of 0.1%. Drops of surfactant solutions and pure water were deposited on three horizontal substrates with different wettability (equilibrium contact angle of water ranging between 55∘ and 100∘), and observed from below with a high-frame rate camera to visualise the advancing contact line. The spreading ratio of drops as a function of time was extracted from high-speed videos by digital image processing. Results reveal that the superspreading solution exhibits an intermittent spreading rate, as well as peculiar features of the contact line, which are not observed for the non-superspreading solution, and confirm the superspreading effect becomes less significant when the surface energy of the substrate is decreased.
Structural Flexibility of the Monomeric Red Fluorescent Protein DsRed
Authors: Nam Ki Hyun
Published: January 2024

The monomeric red fluorescent protein DsRed (mDsRed) is widely used as an optical probe for multicolor applications in flow cytometry or fluorescence microscopy. Understanding the structure and dynamics of mDsRed provides fundamental information for its practical applications. The mDsRed crystal structure has been reported, but the structural dynamics have not been fully elucidated. Herein, the crystal structure of mDsRed was determined at 2.9 Å resolution, and the molecular flexibility was analyzed. mDsRed contains a solvent-accessible hole between the β7-strand and β9-α10 loop, which is connected to the chromophore. A partial disorder was present in the electron density map of the tyrosine-ring group of the mDsRed chromophore, indicating a flexible conformation of the chromophore. The refined mDsRed chromophore displayed a cis-conformation with a nonplanar configuration between the tyrosine and imidazoline rings of the chromophore. Temperature factor analysis indicated that the β-barrel fold of mDsRed is rigid, while the loops at the top and bottom of the β-barrel are relatively flexible. The β-barrel surface of mDsRed was closer to the native conformation compared with the previously reported Zn-bound state of mDsRed. These structural findings extend our understanding of the molecular flexibility of mDsRed.
Locating Our Role in the Struggle: Lessons from the Past and Present on Teachers’ Persistence, Solidarity, and Activism for the Common Good
Authors: Racelis Thea L. , Parkhouse Hillary E.
Published: January 2024

The recent onslaught of educational censorship measures is the latest and most extreme manifestation of the perennial struggle over curriculum and politics in schools. Lessons from past and present teacher resistance, solidarity, and activism can inspire and galvanize teachers in this moment within the long struggle for educational justice. This article describes three orientations that may help teachers avoid self-censorship and take action: teachers as classroom-level judges, teachers as part of a collective, and teachers as historical actors. We also present reflective questions that can help teachers identify supports available to them and actions they can take in light of their particular contexts. Our hope is that these tools for thinking about the role of the teacher and taking action will offer both teachers and teacher educators critical hope in our collective struggle for the common good and a more democratic future.
Underwater Image Enhancement Network Based on Dual Layers Regression
Authors: Jia Huidi , Xiao Yeqing , Wang Qiang , Chen Xiai , Han Zhi , Tang Yandong
Published: January 2024

Due to the absorption and scattering of light in water, captured underwater images often suffer from some degradation, such as color cast, blur, and low contrast. These types of degradation usually affect and degrade the performance of computer vision methods and tasks under water. In order to solve these problems, in this paper, we propose a multi-stage and gradually optimized underwater image enhancement deep network, named DLRNet, based on dual layers regression. Our network emphasizes important information by aggregating different depth features in the channel attention module, and the dual-layer regression module is designed with regression to obtain the ambient light and scene light transmission for an underwater image. Then, with the underwater imaging model, the enhanced underwater image for a degraded image can be obtained with normal color, higher clarity, and contrast. The experiments on some different datasets with qualitative analysis and quantitative evaluations validate our network, and show that it outperforms some state-of-the-art approaches.
Optimization Control of Adaptive Traffic Signal with Deep Reinforcement Learning
Authors: Cao Kerang , Wang Liwei , Zhang Shuo , Duan Lini , Jiang Guimin , Sfarra Stefano , Zhang Hai , Jung Hoekyung
Published: January 2024

The optimization and control of traffic signals is very important for logistics transportation. It not only improves the operational efficiency and safety of road traffic, but also conforms to the direction of the intelligent, green, and sustainable development of modern cities. In order to improve the optimization effect of traffic signal control, this paper proposes a traffic signal optimization method based on deep reinforcement learning and Simulation of Urban Mobility (SUMO) software for urban traffic scenarios. The intersection training scenario was established using SUMO micro traffic simulation software, and the maximum vehicle queue length and vehicle queue time were selected as performance evaluation indicators. In order to be more relevant to the real environment, the experiment uses Weibull distribution to simulate vehicle generation. Since deep reinforcement learning takes into account both perceptual and decision-making capabilities, this study proposes a traffic signal optimization control model based on the deep reinforcement learning Deep Q Network (DQN) algorithm by considering the realism and complexity of traffic intersections, and first uses the DQN algorithm to train the model in a training scenario. After that, the G-DQN (Grouping-DQN) algorithm is proposed to address the problems that the definition of states in existing studies cannot accurately represent the traffic states and the slow convergence of neural networks. Finally, the performance of the G-DQN algorithm model was compared with the original DQN algorithm model and Advantage Actor-Critic (A2C) algorithm model. The experimental results show that the improved algorithm increased the main indicators in all aspects.
Design and Development of a CCSDS 131.2-B Software-Defined Radio Receiver Based on Graphics Processing Unit Accelerators
Authors: Ciardi Roberto , Giuffrida Gianluca , Bertolucci Matteo , Fanucci Luca
Published: January 2024

In recent years, the number of Earth Observation missions has been exponentially increasing. Satellites dedicated to these missions usually embark with payloads that produce large amount of data and that need to be transmitted towards ground stations, in time-limited windows. Moreover, the noisy nature of the link between satellites and ground stations makes it hard to achieve reliable communication. To address these problems, a standard for a flexible advanced coding and modulation scheme for high-rate telemetry applications has been defined by the Consultative Committee for Space Data Systems (CCSDS). The defined standard, referred to as CCSDS 131.2-B, makes use of Serially Concatenated Convolutional Codes (SCCC) based on 27 ModCods to optimize transmission quality. A limiting factor in the adoption of this standard is represented by the complexity and the cost of the hardware required for developing high-performance receivers. In the last decade, the performance of software has grown due to the advancement of general-purpose processing hardware, leading to the development of many high-performance software systems even in the telecommunication sector. These are commonly referred to as Software-Defined Radio (SDR), indicating a radio communication system in which components that are usually implemented in hardware, by means of FPGAs or ASICs, are instead implemented in software, offering many advantages such as flexibility, modularity, extensibility, cheaper maintenance, and cost saving. This paper proposes the development of an SDR based on NVIDIA Graphics Processing Units (GPU) for implementing the receiver end of the CCSDS 131.2-B standard. At first, a brief description of the CCSDS 131.2-B standard is given, focusing on the architecture of the transmitter and receiver sides. Then, the receiver architecture is shown, giving an overview of its functional blocks and of the implementation choices made to optimize the processing of the signal, especially for the SCCC Decoder. Finally, the performance of the system is analyzed in terms of data-rate and error correction and compared with other SW systems to highlight the achieved improvements. The presented system has been demonstrated to be a perfect solution for CCSDS 131.2-B-compliant device testing and for its use in science missions, providing a valid low-cost alternative with respect to the state-of-the-art HW receivers.
Event-Triggered Adaptive Control for a Class of Nonlinear Systems with Dead-Zone Input
Authors: Mei Congli , Guo Dong , Chen Gang , Cai Jianping , Li Jianning
Published: January 2024

In this paper, the event-triggered control problem is investigated using backstepping techniques for nonlinear systems with dead-zone input. The external disturbance and unknown parameters are also considered in the controller’s design. It is well known that errors in input signal measurements are inevitable. In event-triggered control, such errors will directly affect whether the control signal is updated. This measurement error can be seen in the form of interference to the threshold. Therefore, unlike traditional event-triggered control, the existence of threshold disturbance is considered in the controller’s design. The proposed controller can not only compensate for the uncertainties caused by external disturbance and unknown parameters but can also suppress the unknown effects caused by threshold interference. In addition, to obtain a continuous controller, a smooth function is constructed to approximate the discontinuous sign function. In this way, Zeno behavior is successfully avoided. The boundedness of all signals and the tracking performance of the system can be guaranteed by the proposed control scheme. Numerical simulation and actual system simulation demonstrate the effectiveness of the proposed control scheme. The comparative simulation results also verify this event-triggered controller’s advantages, including better tracking performance and fewer trigger times.
Testing and Numerical Analysis of Abnormal Pressure Pulsations in Francis Turbines
Authors: Jia Lu , Zeng Yongzhong , Liu Xiaobing , Huang Wanting , Xiao Wenzhuo
Published: January 2024

During the flood season, Francis turbines often operate under low-head and full-load conditions, frequently experiencing significant pressure pulsations, posing potential threats to the safe and stable operation of the units. However, the factors contributing to substantial pressure pulsations in Francis turbines are multifaceted. This paper focuses on a mixed-flow hydroelectric generating unit at a specific hydropower station. Field tests were conducted to investigate abnormal vibrations and hydraulic pressure pulsations under low-head and full-load conditions. Utilizing the Navier–Stokes equations and the RNG k-ε turbulence model, the unsteady flow field within the turbine under these conditions was calculated. The results indicate that the abnormal pressure pulsations detected in the bladeless zone between the wicket gates and the turbine inlet are due to operational points deviating from the normal operating range of the turbine. When water flows at a large inflow angle, striking the turbine blade heads, it leads to significant flow separation and vortex formation at the back of the blade inlet edges, causing severe vibrations in the hydroelectric generating unit. These findings provide a basis and assurance for the safe and stable operation of the power station.
The Sealing Performance of Cement Sheaths under Thermal Cycles for Low-Enthalpy Geothermal Wells
Authors: Corina Anisa Noor , Moghadam Al
Published: January 2024

The repetitive process of shut-in and production in geothermal wells promotes thermal stress on the wellbore components, including annular cement. A cement sheath at a relatively shallow depth undergoes the most significant stress change due to the high differential temperature between the geothermal gradient and the production fluid’s temperature. Understanding the impact of cyclical thermal stresses on cement is critical for assessing the barrier integrity at a shallow depth that serves as aquifer protection. A novel large-scale setup simulating a 1.5 m-long casing-cement-casing well section was built to study the changes in cement’s sealing performance of low-enthalpy geothermal wells during production. Using this setup, a cement sheath can be cured similarly to the in situ conditions, and the annular temperature can be cycled under realistic operating conditions. The change in flow rate through the cement sheath before and after cycling is quantified through leak tests. UV dye is injected at the end of the experiment to identify the location and type of damage in the cement sheath. A hydromechanically coupled finite element model was used to estimate the stress evolution in cement during the tests. The model incorporated the impact of cement hydration and strength development during curing. The numerical results were used as a guide to ensure the test design closely mimicked in situ conditions. The results show the presence of a small microannulus immediately after curing due to hydration shrinkage. Thermal cycles reduced the permeability of the microannulus. The size of the micro-annulus was observed to be sensitive to the backpressure applied to the cement sheath, indicating the need for pressure to maintain an open microannulus. Thirty-nine thermal cycles between 80 and 20 °C did not change the permeability of the cement sheath significantly. Tensile cracks in the cement sheath were not continuous and may not be a significant pathway. The new setup allows for measuring cement’s effectiveness in withstanding in situ stress conditions when exposed to thermal cycles such as geothermal and CCS wells.
Review of the Planning and Distribution Methodologies to Locate Hydrogen Infrastructure in the Territory
Authors: Álvarez Coomonte Agustín , Grande Andrade Zacarías , Porras Soriano Rocio , Lozano Galant José Antonio
Published: January 2024

The member countries of the European Union (EU) have prioritized the incorporation of hydrogen as a key component of their energy objectives. As the world moves towards reducing its dependence on fossil fuels, alternative sources of energy have gained prominence. With the growing development of Fuel Cell Electric Vehicles (FCEVs), the establishment of an infrastructure for hydrogen production and the creation of a network of service stations have become essential. This article’s purpose is to conduct a methodical review of literature regarding the use of green hydrogen for transportation and the planning of imperative infrastructure in the territory of the EU, specifically Hydrogen Refueling Stations (HRS). In order to increase the acceptance of fuel cell vehicles, a comprehensive network of hydrogen refueling stations (HRS) must be built that enable drivers to refuel their vehicles quickly and easily, similar to gasoline or diesel vehicles. The literature review on this topic was conducted using the Web of Science database (WOS), with a variety of search terms proposed to cover all the key components of green hydrogen production and refueling infrastructure. The implementation of HRS powered by renewable energy sources is an important step in the adoption of fuel cell vehicles, and overcoming the obstacles that come with their implementation will require cooperation and innovation from governments, private businesses, and other stakeholders.
Improving Computation Time for Optimization Runs of Modelica-Based Energy Systems
Authors: Klute Sven , Hadam Markus , van Beek Mathias , Budt Marcus
Published: January 2024

Mathematical optimization is a widespread method in order to improve, for instance, the efficiency of energy systems. A simulation approach based on partial differential equations can typically not be formulated as an optimization problem, thus requiring interfacing to an external optimization environment. This is, among others, also true for the programming language Modelica. Because of high computation time, such coupled approaches are often limited to small-scale optimization problems. Since simulation models tend to get more complex, simulation time and, in turn, associated optimization time rise significantly. To enable proper sampling of the search space, individual optimization runs need to be solved in acceptable times. This paper addresses the search for a proper optimization approach and tool to couple with Modelica/Dymola. The optimization is carried out on an exemplary power plant model from the ClaRa-Library using an evolutionary algorithm (SPEA2-based) with Ansys optiSlang. To verify and evaluate the results, a comparison with the standard Dymola optimization library is performed. Both parallelization and indirect optimization with surrogate models achieved a significant runtime reduction by a factor of up to 5.4. The use of meta models is particularly advantageous for repetitive optimization runs of the same optimization problem but may lead to deviations due to the calculated approximations.
Research Progress for Probiotics Regulating Intestinal Flora to Improve Functional Dyspepsia: A Review
Authors: Shen Xinyu , Xie Aijun , Li Zijing , Jiang Chengxi , Wu Jiaqi , Li Mohan , Yue Xiqing
Published: January 2024

Functional dyspepsia (FD) is a common functional gastrointestinal disorder. The pathophysiology remains poorly understood; however, alterations in the small intestinal microbiome have been observed. Current treatments for FD with drugs are limited, and there are certain safety problems. A class of active probiotic bacteria can control gastrointestinal homeostasis, nutritional digestion and absorption, and the energy balance when taken in certain dosages. Probiotics play many roles in maintaining intestinal microecological balance, improving the intestinal barrier function, and regulating the immune response. The presence and composition of intestinal microorganisms play a vital role in the onset and progression of FD and serve as a critical factor for both regulation and potential intervention regarding the management of this condition. Thus, there are potential advantages to alleviating FD by regulating the intestinal flora using probiotics, targeting intestinal microorganisms. This review summarizes the research progress of probiotics regarding improving FD by regulating intestinal flora and provides a reference basis for probiotics to improve FD.
Silicon and Zinc Fertilizer Application Improves Grain Quality and Aroma in the japonica Rice Variety Nanjing 46
Authors: Wei Xiaodong , Zhang Yadong , Song Xuemei , Zhao Ling , Zhao Qingyong , Chen Tao , Lu Kai , Zhu Zhen , Huang Shengdong , Wang Cailin
Published: January 2024

This study examined how silicon and zinc fertilizers affect the quality and aroma of Nanjing 46. We applied nine different fertilizer treatments, one involving soil topdressing at the top fourth leaf-age stage and one involving foliar spraying during the booting stage of the silicon and zinc fertilizers. We tested the effects of the nine treatments on grain quality and aroma. Silicon and zinc fertilizers significantly affected the brown rice rate, milled rice rate, head rice rate, amylose content, gel consistency, RVA characteristic value, taste value, and aroma but did not affect the chalky grain rate, chalkiness, protein content, rice appearance, hardness, stickiness, balance, peak time, or pasting temperature. Silicon fertilizer decreased the rate of brown rice and milled rice, whereas zinc fertilizer increased the rate of brown rice and milled rice. Silicon and zinc fertilizers improved the head rice rate. Compared to silicon fertilizer, the impact of zinc fertilizer on increasing the head rice rate was more pronounced. Although the effects of silicon and zinc fertilizers on the amylose content and RVA characteristic value varied depending on the treatment, their application could lower the amylose content, increase gel consistency, improve breakdown viscosity, decrease setback viscosity, increase aroma, and improve the taste value of rice.
Does Climate Change Cause an Upsurge in Food Prices?
Authors: Erdogan Sinan , Kartal Mustafa Tevfik , Pata Ugur Korkut
Published: January 2024

Climate change is the reason behind most contemporary economic problems. The rising inflationary pressures in the food sector are one of these problems, and stable food prices are a necessity for economic development and social cohesion in societies. Therefore, this study analyzes the relationship between food prices and climate change in Nigeria by using various non-linear and quantile-based methods and data from 2008m5 to 2020m12. The empirical findings indicate that (i) there is a time- and frequency-based dependence between food prices and some explanatory variables, including climate change (i.e., temperature). (ii) At higher quantiles, temperature, oil prices, food exports, monetary expansion, global food prices, agricultural prices, and fertilizer prices stimulate food prices. (iii) The increase in food prices due to the rise in temperature and the difficulties in agriculture indicate that the heatflation phenomenon is present in Nigeria. The evidence outlines that Nigerian decisionmakers should adopt a national food security policy that considers environmental, agricultural, and monetary factors to stabilize food prices.
Nanoliposome-Mediated Encapsulation of Chlorella Oil for the Development of a Controlled-Release Lipid-Lowering Formulation
Authors: Tu Lanlan , Zeng Jihao , Bai Xue , Wu Ziyun , Wu Jinhong , Xu Shannan
Published: January 2024

Chlorella oil nanoliposomes (CO-NLP) were synthesized through ultrasonic injection with ethanol, and their physicochemical properties and hypolipidemic efficacy were systematically investigated. The results revealed that the mean particle size of CO-NLP was 86.90 nm and the encapsulation efficiency (EE) was 92.84%. Storage conditions at 4 °C were conducive to the stability of CO-NLP, maintaining an EE of approximately 90% even after 10 days of storage. The release profile of CO-NLP adhered more closely to the first-order kinetic model during in vitro assessments, exhibiting a slower release rate compared to free microalgae oil. In simulated in vitro digestion experiments, lipolytic reactions of CO-NLP were observed during intestinal digestion subsequent to nanoliposome administration. Notably, the inhibitory effect of CO-NLP on cholesterol esterase activity was measured at 85.42%. Additionally, the average fluorescence intensity of nematodes in the CO-NLP group was 52.17% lower than in the control group at a CO-NLP concentration of 500 μg/mL, which suggests a pronounced lipid-lowering effect of CO-NLP. Therefore, the CO-NLP exhibited characteristics of small and uniform particle size, elevated storage stability, gradual release during intestinal digestion, and a noteworthy hypolipidemic effect. These findings designate CO-NLP as a novel lipid-lowering active product, demonstrating potential for the development of functional foods.
Suicide Risk Screening and Assessment before and after the COVID-19 Pandemic in New Inmates
Authors: Santoriello Carmen , De Rosa Carmela , Rufo Chiara , Romano Francesca , Termoli Gaetana , Fiorillo Giuseppina , Caprio Ludovica , Vitolo Monica , Pagano Antonio Maria
Published: January 2024

(1) Background: Suicide is the main cause of death in Italian prisons. The largest number of inmates who killed themselves was recorded during three years of the COVID-19 pandemic. This study aimed to explore psychosocial risk factors for suicide among inmates incarcerated before and after the onset of COVID-19. (2) Methods: At prison reception, inmates underwent clinical interviews and were assessed using the Blaauw Scale and Suicide Assessment Scale. Psychological distress, measured by the Symptom Checklist-90-R, was compared between inmates admitted before and after COVID-19. Regression analyses were run to examine psychosocial vulnerabilities associated with suicidal intent in newly incarcerated individuals at risk of suicide. (3) Results: Among the 2098 newly admitted inmates (93.7% male) aged 18 to 87 years (M = 39.93; SD = 12.04), 1347 met the criteria for suicide risk, and 98 exhibited high suicidal intent. Inmates who entered prison after the onset of COVID-19 were older and had fewer social relationships. They had a higher prevalence of recidivism and substance abuse, along with elevated levels of psychological distress. An increase in perceived loss of control, anergia, obsessive-compulsive symptoms, phobic anxiety, and paranoid ideation emerged as the factors most strongly associated with high suicidal intent. (4) Conclusions: These findings support the value of psychosocial screening in promptly identifying inmates at risk of suicide, enabling the implementation of targeted, multi-professional interventions. Future research should replicate these results, with a focus on longitudinal studies that monitor the same inmates throughout their incarceration period.
Barriers to Oral Health Care for Autistic Individuals—A Scoping Review
Authors: Jones Jayne , Roberts Elysa , Cockrell Deborah , Higgins Denise , Sharma Dileep
Published: January 2024

Background: Challenges in providing adequate dental care for individuals with Autism Spectrum Disorder (ASD) are recognised by parents, caregivers, and dental practitioners, leading to a higher prevalence of unaddressed dental needs. This scoping review aims to explore existing research on the obstacles to oral health care as perceived by individuals with ASD, as reported by their parents, caregivers, and dental professionals. Methods: Systematic searches were conducted in DOSS, Medline, and PubMed databases using relevant keywords to identify relevant studies. Barriers identified within these studies were then categorised based on themes identified. Results: The initial search yielded a total of 254 studies. Following the removal of duplicates and screening of titles and abstracts, 47 studies were further assessed against predetermined criteria, ultimately resulting in the inclusion of 16 articles in this scoping review. The identified barriers were grouped into five overarching themes: challenges in accessing appropriate care (n = 8), negative past experiences (n = 5), parental perceptions of the impact of ASD (n = 8), clinician bias (n = 2), and clinician education (n = 7). Conclusions: The findings of this review highlight the obstacles faced by individuals with ASD in obtaining routine oral health care. These results underscore the imperative for the development, testing, and implementation of tailored interventions focused on autism, as well as their integration into educational curricula for dental practitioners at various educational levels. This approach aims to enhance the delivery of equitable oral health care to individuals with ASD, starting from undergraduate through to postgraduate dental education.
Information and Communication Technology-Based Application for Cognitive Behavioral Therapy among Community-Dwelling Older Adults with Insomnia: Development and Validation Study
Authors: Lee Yeonhee , Kim Inseong , Lee Seonheui , Yu Soyoung
Published: January 2024

This study developed an information and communication technology-based mobile application to administer cognitive behavioral therapy to community-dwelling older adults with insomnia. First, the content of the application was determined through a systematic review and preference survey. Preference data on the perception, needs, and preference for non-face-to-face service content were collected from 15 July 2021 to 31 August 2021 from 100 community-dwelling older adults aged 65 years and older. In the design stage, the structure and function of the application were determined, and an interface was designed. The application was developed in conjunction with design experts and programmers using Android Studio software (Android 9). Usability tests were conducted during the implementation stage, followed by an evaluation stage. The evaluation revealed that the application’s structure and functions should comprise sleep information, sleep-habit improvement, sleep assistance, video, real-time counseling, and exercise services. These elements were finalized after receiving the results of a preference analysis and advice from an advisory panel of experts in different fields. The developed application was rated with a score of four or higher in all areas. This study successfully developed, implemented, and evaluated a new mobile application called Smart Sleep for community-dwelling older adults with insomnia.
Correction: Kostev, K.; Cai, T. Cystitis and Utipro® Plus: Real-World Evidence. Healthcare 2023, 11, 2564
Authors: Kostev Karel , Cai Tommaso
Published: January 2024

In the original publication [...]
The Non-Invasive Spectroscopic Study of a Parchment Object from the National Central Library of Florence: The Hebrew Scroll
Authors: Bartolozzi Giovanni , Casini Andrea , Castelli Lisa , Cucci Costanza , Grazzi Francesco , Mazzinghi Anna , Pieralli Irene , Ruberto Chiara , Sarfati Rachel , Sidoti Alessandro , Stefani Lorenzo , Picollo Marcello
Published: January 2024

The Hebrew Scroll, catalogued as Magliabekian Manuscript III 43 and belonging to the National Central Library of Florence (BNCF), is a membranous richly decorated scroll, with colorful depictions of sacred sites through the Holy Land to Lebanon along with handwritten texts in Hebrew and notes in Italian. Despite the fact that the manuscript was originally catalogued as an “object of no artistic or scientific value”, recent paleographic studies dated it to the XIV century and highlighted it as the oldest scroll still available, depicting holy places from Egypt to Lebanon. Nevertheless, precise dating, authorship, and the interpretation of its original function are still uncertain. A suite of complementary techniques was used, including photographic documentation in visible (VIS) light in diffuse light, grazing light, and transillumination, luminescence induced by ultraviolet (UV) radiation, imaging spectroscopy (IS), Macro Area X-ray Fluorescence (MA-XRF), and spot analyses such as fiber-optic reflectance spectroscopy (FORS) in the UV, VIS, and near-infrared (NIR) regions, Fourier transform infrared spectroscopy (FT-IR) in external reflectance mode (ER), and micro-Raman spectroscopy. The results of the non-invasive diagnostic campaign enabled the identification of several constituting materials (parchment, pigments, binder, and inks). The identified materials were consistent with the proposed dating and geographical manufacturing area of the artefact.
Optimising Online Peer Support for People with Young Onset Dementia
Authors: Gerritzen Esther Vera , Orrell Martin , McDermott Orii
Published: January 2024

People with Young Onset Dementia (YOD) can be hesitant to engage with online peer support. This work aims to explore (1) why people are hesitant to engage in online peer support, (2) how to get more people involved in online peer support, and (3) what makes online peer support work well. Nine interviews with people with YOD were conducted on MS Teams. Participants were recruited through purposive sampling. Data were analysed thematically. Reasons for being hesitant to engage with online peer support include being unsure what to expect and concerns about seeing others in more advanced stages of dementia. Additionally, it can be difficult to identify groups that suit one’s needs and interests. Group facilitators of online peer support groups should provide a detailed description of their group so that people can better assess whether the group would suit them. The insights obtained from this study will be used to develop a Best Practice Guidance on online peer support for people with YOD. Moreover, the findings can be useful for further research exploring how to support people with dementia in general in accessing online health and social care services.
Role of SLC7A11/xCT in Ovarian Cancer
Authors: Fantone Sonia , Piani Federica , Olivieri Fabiola , Rippo Maria Rita , Sirico Angelo , Di Simone Nicoletta , Marzioni Daniela , Tossetta Giovanni
Published: January 2024

Ovarian cancer is one of the most dangerous gynecologic cancers worldwide and has a high fatality rate due to diagnosis at an advanced stage of the disease as well as a high recurrence rate due to the occurrence of chemotherapy resistance. In fact, chemoresistance weakens the therapeutic effects, worsening the outcome of this pathology. Solute Carrier Family 7 Member 11 (SLC7A11, also known as xCT) is the functional subunit of the Xc− system, an anionic L-cystine/L-glutamate antiporter expressed on the cell surface. SLC7A11 expression is significantly upregulated in several types of cancers in which it can inhibit ferroptosis and favor cancer cell proliferation, invasion and chemoresistance. SLC7A11 expression is also increased in ovarian cancer tissues, suggesting a possible role of this protein as a therapeutic target. In this review, we provide an overview of the current literature regarding the role of SLC7A11 in ovarian cancer to provide new insights on SLC7A11 modulation and evaluate the potential role of SLC7A11 as a therapeutic target.
Vitamin B12 Deficiency and the Nervous System: Beyond Metabolic Decompensation—Comparing Biological Models and Gaining New Insights into Molecular and Cellular Mechanisms
Authors: Mathew Aimee Rachel , Di Matteo Giacomo , La Rosa Piergiorgio , Barbati Saviana Antonella , Mannina Luisa , Moreno Sandra , Tata Ada Maria , Cavallucci Virve , Fidaleo Marco
Published: January 2024

Vitamin B12 (VitB12) is a micronutrient and acts as a cofactor for fundamental biochemical reactions: the synthesis of succinyl-CoA from methylmalonyl-CoA and biotin, and the synthesis of methionine from folic acid and homocysteine. VitB12 deficiency can determine a wide range of diseases, including nervous system impairments. Although clinical evidence shows a direct role of VitB12 in neuronal homeostasis, the molecular mechanisms are yet to be characterized in depth. Earlier investigations focused on exploring the biochemical shifts resulting from a deficiency in the function of VitB12 as a coenzyme, while more recent studies propose a broader mechanism, encompassing changes at the molecular/cellular levels. Here, we explore existing study models employed to investigate the role of VitB12 in the nervous system, including the challenges inherent in replicating deficiency/supplementation in experimental settings. Moreover, we discuss the potential biochemical alterations and ensuing mechanisms that might be modified at the molecular/cellular level (such as epigenetic modifications or changes in lysosomal activity). We also address the role of VitB12 deficiency in initiating processes that contribute to nervous system deterioration, including ROS accumulation, inflammation, and demyelination. Consequently, a complex biological landscape emerges, requiring further investigative efforts to grasp the intricacies involved and identify potential therapeutic targets.
Evaluation of the Structure–Function Relationship of SGNH Lipase from Streptomyces rimosus by Site-Directed Mutagenesis and Computational Approach
Authors: Filić Želimira , Bielen Ana , Šarić Ela , Ćehić Mirsada , Crnolatac Ivo , Tomić Sanja , Vujaklija Dušica , Abramić Marija
Published: January 2024

Streptomyces rimosus extracellular lipase (SrL) is a multifunctional hydrolase belonging to the SGNH family. Here site-directed mutagenesis (SDM) was used for the first time to investigate the functional significance of the conserved amino acid residues Ser10, Gly54, Asn82, Asn213, and His216 in the active site of SrL. The hydrolytic activity of SrL variants was determined using para-nitrophenyl (pNP) esters with C4, C8, and C16 fatty acid chains. Mutation of Ser10, Asn82, or His216, but not Gly54, to Ala abolished lipase activity for all substrates. In contrast, the Asn213Ala variant showed increased enzymatic activity for C8 and C16 pNP esters. Molecular dynamics (MD) simulations showed that the interactions between the long alkyl chain substrate (C16) and Ser10 and Asn82 were strongest in Asn213Ala SrL. In addition to Asn82, Gly54, and Ser10, several new constituents of the substrate binding site were recognized (Lys28, Ser53, Thr89, and Glu212), as well as strong electrostatic interactions between Lys28 and Glu212. In addition to the H bonds Ser10–His216 and His216–Ser214, Tyr11 interacted strongly with Ser10 and His216 in all complexes with an active enzyme form. A previously unknown strong H bond between the catalytically important Asn82 and Gly54 was uncovered, which stabilizes the substrate in an orientation suitable for the enzyme reaction.
Self-Assembling E2-Based Nanoparticles Improve Vaccine Thermostability and Protective Immunity against CSFV
Authors: Song Hetao , Abdullah Sahibzada Waheed , Pei Chenchen , Shi Xiaoni , Chen Xiangyang , Ma Yuqing , Yin Shuanghui , Sun Shiqi , Huang Yong , Guo Huichen
Published: January 2024

Classical swine fever virus (CSFV) is a highly contagious pathogen causing significant economic losses in the swine industry. Conventional inactivated or attenuated live vaccines for classical swine fever (CSF) are effective but face biosafety concerns and cannot distinguish vaccinated animals from those infected with the field virus, complicating CSF eradication efforts. It is noteworthy that nanoparticle (NP)-based vaccines resemble natural viruses in size and antigen structure, and offer an alternative tool to circumvent these limitations. In this study, we developed an innovative vaccine delivery scaffold utilizing self-assembled mi3 NPs, which form stable structures carrying the CSFV E2 glycoprotein. The expressed yeast E2-fused protein (E2-mi3 NPs) exhibited robust thermostability (25 to 70 °C) and long-term storage stability at room temperature (25 °C). Interestingly, E2-mi3 NPs made with this technology elicited enhanced antigen uptake by RAW264.7 cells. In a rabbit model, the E2-mi3 NP vaccine against CSFV markedly increased CSFV-specific neutralizing antibody titers. Importantly, it conferred complete protection in rabbits challenged with the C-strain of CSFV. Furthermore, we also found that the E2-mi3 NP vaccines triggered stronger cellular (T-lymphocyte proliferation, CD8+ T-lymphocytes, IFN-γ, IL-2, and IL-12p70) and humoral (CSFV-specific neutralizing antibodies, CD4+ T-lymphocytes, and IL-4) immune responses in pigs than the E2 vaccines. To sum up, these structure-based, self-assembled mi3 NPs provide valuable insights for novel antiviral strategies against the constantly infectious agents.
The Identification, Characterization, and Functional Analysis of the Sugar Transporter Gene Family of the Rice False Smut Pathogen, Villosiclava virens
Authors: Qin Huimin , Yin Weixiao , Luo Chaoxi , Liu Lianmeng
Published: January 2024

False smut, caused by Villosiclava virens, is becoming increasingly serious in modern rice production systems, leading to yield losses and quality declines. Successful infection requires efficient acquisition of sucrose, abundant in rice panicles, as well as other sugars. Sugar transporters (STPs) may play an important role in this process. STPs belong to a major facilitator superfamily, which consists of large multigenic families necessary to partition sugars between fungal pathogens and their hosts. This study identified and characterized the STP family of V. viren, and further analyzed their gene functions to uncover their roles in interactions with rice. Through genome-wide and systematic bioinformatics analyses, 35 STPs were identified from V.virens and named from VvSTP1 to VvSTP35. Transmembrane domains, gene structures, and conserved motifs of VvSTPs have been identified and characterized through the bioinformatic analysis. In addition, a phylogenetic analysis revealed relationship between VvSTPs and STPs from the other three reference fungi. According to a qRT-PCR and RNA-sequencing analysis, VvSTP expression responded differently to different sole carbon sources and H2O2 treatments, and changed during the pathogenic process, suggesting that these proteins are involved in interactions with rice and potentially functional in pathogenesis. In total, 12 representative VvSTPs were knocked out through genetic recombination in order to analyze their roles in pathogenicity of V. virens. The knock-out mutants of VvSTPs showed little difference in mycelia growth and conidiation, indicating a single gene in this family cannot influence vegetative growth of V. virens. It is clear, however, that these mutants result in a change in infection efficiency in a different way, indicating that VvSTPs play an important role in the pathogenicity of virens. This study is expected to contribute to a better understanding of how host-derived sugars contribute to V. virens pathogenicity.