bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks
Authors: Shang Haikun , Liu Zhidong , Wei Yanlei , Zhang Shen
Published: February 2024

Dissolved gas analysis (DGA) in transformer oil, which analyzes its gas content, is valuable for promptly detecting potential faults in oil-immersed transformers. Given the limitations of traditional transformer fault diagnostic methods, such as insufficient gas characteristic components and a high misjudgment rate for transformer faults, this study proposes a transformer fault diagnosis model based on multi-scale approximate entropy and optimized convolutional neural networks (CNNs). This study introduces an improved sparrow search algorithm (ISSA) for optimizing CNN parameters, establishing the ISSA-CNN transformer fault diagnosis model. The dissolved gas components in the transformer oil are analyzed, and the multi-scale approximate entropy of the gas content under different fault modes is calculated. The computed entropy values are then used as feature parameters for the ISSA-CNN model to derive diagnostic results. Experimental data analysis demonstrates that multi-scale approximate entropy effectively characterizes the dissolved gas components in the transformer oil, significantly improving the diagnostic efficiency. Comparative analysis with BPNN, ELM, and CNNs validates the effectiveness and superiority of the proposed ISSA-CNN diagnostic model across various evaluation metrics.
Synergies in Developing Pre-Service Teachers’ Language Assessment Literacy in Ukrainian Universities
Authors: Ukrayinska Olga
Published: February 2024

Developing the language assessment literacy (LAL) of pre-service foreign language (FL) teachers is thought to be beneficial both to trainee teachers themselves and to their future students and schools. However, it also presents a number of challenges to teacher educators involved in training these cohorts. Ensuring that pre-service FL teachers are fully confident and competent in assessment requires the design of a preparation programme that is detailed and relevant to their needs. While Taylor has argued that different stakeholders have different language assessment literacy needs, there will also be different needs within groups according to their specific assessment responsibilities. Thus, for language educators, the needs of pre-service teachers are likely to be different from those of in-service classroom teachers, and this should be reflected in the content of their training. However, research has shown that across Europe, training practices vary considerably, often with no training provided in teacher training programmes at all. In this study, I address this issue through a discussion of current approaches to the pre-service development of language assessment literacy across Ukrainian universities. Due to the principle of organizing the learning process at Ukrainian tertiary institutions in blocks of disciplines of general and professional preparation and practical training, students acquire knowledge and develop skills in the field of assessment gradually, through studying various subjects, and not only within one course. This interaction of different subjects with each other and with school placements presents synergies that can enhance LAL, if the corresponding programme takes into account these connections. In order to have a full picture of Ukrainian pre-service teachers’ language assessment development, the current study presents a description of the training system and its LAL-related components retrieved from educational and professional training programmes and discipline curricula of the Ukrainian universities providing relevant preparation programmes. I provide a list of components and discuss didactic conditions that aid the acquisition of LAL by future teachers. I argue that these synergies in the Ukrainian system may provide a useful example of practice for other universities in the European context.
Students’ Epistemological Framings When Solving an Area Problem of a Degenerate Triangle: The Influence of Presence and Absence of a Drawing
Authors: Juárez-Ruiz Estela , Sliško Josip
Published: February 2024

This study explores the epistemological framings of undergraduate students when solving an area problem of a degenerate triangle, without or with a triangle drawing. Through mixed research with a triangulation design, the resolution processes and responses of students were analyzed. The aim was to analyze how students’ epistemological framing changes during the problem-solving process depending on whether the task contains the drawing of the triangle or not. Quantitative results show significant differences between students who solve the problem without a triangle drawing and those who do. Qualitative results evidence that students who solved the problem with the drawing established an initial epistemological framing that contained an “obvious fact”: the non-zero area of the triangle. They hardly modified this epistemological framing during the solving process, forcing the response to be a positive number. In contrast, students who solved the problem without the drawing easily modified their initial epistemological framing by observing that the area of the triangle was zero. Students’ perceptions of the level of difficulty of the problem are discussed, too.
Social–Emotional Management to Promote Quality in Education: A Training Program for Teachers
Authors: Díez González María del Carmen , Marcos-Sánchez Rafael , Zaragoza-Benzal Alicia , Ferrández Daniel
Published: February 2024

Social–emotional management in educational centers is a key element nowadays to achieve quality education, having become even more important after the pandemic period caused by the COVID-19 virus. Training programs in socioemotional skills, such as the EmocionaTFamilia program, are necessary to enhance teachers’ soft skills. This research aims to understand how the EmocionaTFamilia program promotes socioemotional skills to deal with teaching management and practice, as well as the fear generated by the pandemic. For this purpose, quantitative and qualitative evaluative research on the program has been carried out using the TMMS and COVID-19 fear online questionnaires, in which emotional attention, clarity, and repair, as well as fear, have been analyzed. A total of 21 participants, including the school’s management team and elementary and secondary teachers, participated in an educational institution located in Madrid, Colombia. The age of the sample ranged from 22 to 54 years old, with 1 to 20 years of teaching experience. The program was implemented in six sessions over three months, sequenced at three levels: the development of awareness and basic training in emotional education; the development of emotional competences; and coping with fear. The results show that, once the program has been implemented, there is an improvement in the means of all the emotional dimensions and in coping with fear in the study population. These dimensions allow for becoming aware of emotions and learning to place them in the right place, acquiring awareness to accompany students in their strengths and weaknesses. Encouraging listening to peers to transform fears into gratitude is promoted. Thus, the findings of this research reveal a scenario that underscores the need for adequate continuous training in socioemotional skills to enable the management of emotions and fear in the classroom.
Efficient 2D DOA Estimation via Decoupled Projected Atomic Norm Minimization
Authors: Liu Mingming , Dong Yangyang , Dong Chunxi , Zhao Guoqing
Published: February 2024

This paper presents an efficient two-dimensional (2D) direction of arrival (DOA) estimation method, termed as decoupled projected atomic norm minimization (D-PANM), to solve the angle-ambiguity problem. It first introduces a novel atomic metric via projecting the original atom set onto a smoothing space, based on which we formulate an equivalent semi-definite programming (SDP) problem. Then, two relatively low-complexity decoupled Toeplitz matrices can be obtained to estimate the DOAs. We further exploit the structural information hidden in the newly constructed data to avoid pair matching for the azimuth and elevation angles when the number of sensors is odd, and then propose a fast and feasible decoupled alternating projections (D-AP) algorithm, reducing computational complexity to a great extent. Numerical simulations are performed to demonstrate that the proposed algorithm is no longer restricted by angle ambiguity scenarios, but instead provides a more stable estimation performance, even when multiple signals share the same angles in both azimuth and elevation dimensions. Additionally, it greatly improves the resolution, with control of the computation load compared with the existing atomic norm minimization (ANM) algorithm.
Influence of Excitation by Idling Rotor on Wind Turbine Ultimate Loads in Storm Conditions
Authors: Yoshida Shigeo , Fekry M.
Published: February 2024

Typical large scale pitch-controlled wind turbines idle their rotors during storm conditions. The design loads of wind turbines are calculated by aeroelastic simulations under various conditions. These include grid loss and failures, which can increase rotor speed and excite the first-mode of the tower bending. In this study, the influences of self-excitation by the idling rotor on the ultimate loads in storm conditions were investigated. Aeroelastic simulations were conducted for a three-bladed 5 MW upwind turbine as an example, under steady and extreme turbulent wind conditions according to the international design standard IEC61400-1 ed.4. As a result, we confirmed that yaw misalignment increases the idling rotor speed and 6P, second order harmonics of blade passing frequency, excites the first-mode tower bending, which can generate a large load on the tower. Pitch stick can increase the rotor speed but not as noticeably as yaw error. Although no clear provisions exist in wind turbine design standards or guidelines for the self-excited vibration during wind turbine idling, these results indicate that conditions must be set that consider self-excited vibration.
Optimum Stochastic Allocation for Demand Response for Power Markets in Microgrids
Authors: Garcia Edwin , Águila Alexander , Ortiz Leony , Ruiz Milton
Published: February 2024

This research incorporates an electricity market model based on a stochastic allocation of distributed resources and the analysis of an optimal demand response for a smart microgrid. This research develops a methodology that allows the application and comparison of various demand-response mechanisms and the analysis of the differences between them and the case of no-demand response, emphasizing economics, environmental care, demand curves, and other factors. By enabling more active participation by residential users of the smart microgrid, these demand-response methods help to flatten the demand curve and support the goals set by the electricity market model. Both conventional and non-conventional generators compete in the electricity market, with renewable energy sources preferred to encourage green generation. Conventional generators are required to supply electricity gradually, starting with the lowest pollution level. In addition, conventional generators are compensated for dispatch, system reliability, and availability. In addition, random variables are used in this study to predict initial load, solar radiation analysis, and biomass input before resources are optimized to meet demand.
Development of Shift Map for Electric Commercial Vehicle and Comparison Verification of Pneumatic 4-Speed AMT and 4-Speed Transmission with Synchronizer in Simulation
Authors: Kim Joohyung , Lee Yoonkwon , Jin Hyomin , Park Seunguk , Hwang Sung-Ho
Published: February 2024

As the automotive industry transitions from internal combustion engine vehicles to the era of electric cars, extensive research is being conducted in the field of electric vehicles. While a significant portion of this research focuses on the electrification of passenger cars, commercial vehicles have experienced relatively modest changes towards electric propulsion. Particularly, challenges related to power and efficiency have prompted a concentrated effort in addressing these issues. However, improvements in the efficiency of motors and inverters are reaching their limits, necessitating the development of multi-speed transmissions for electric commercial vehicles to enhance overall system efficiency. In this paper, the development of a 4-speed transmission with a synchronizer designed for electric commercial vehicles is presented as part of a project. A transmission shift map was developed, and verification of increased power and efficiency was conducted through a comparison with the existing product (a pneumatic 4-speed internal combustion engine transmission) installed in the target commercial vehicle. The study utilized vehicle dynamics, component modeling, and simulation environments to assess the improvements in performance.
Feature Extraction of Flow Sediment Content of Hydropower Unit Based on Voiceprint Signal
Authors: Xiao Boyi , Zeng Yun , Hu Wenqing , Cheng Yuesong
Published: February 2024

The hydropower turbine parts running in the sand-bearing flow will experience surface wear, leading to a decline in the hydropower unit’s stability, mechanical performance, and efficiency. A voiceprint signal-based method is proposed for extracting the flow sediment content feature of the hydropower unit. Firstly, the operating voiceprint information of the hydropower unit is obtained, and the signal is decomposed by the Ensemble Empirical Mode Decomposition (EEMD) algorithm, and a series of intrinsic mode functions (IMFs) are obtained. Combined with correlation analysis, more sensitive IMF components are extracted and input into a convolutional neural network (CNN) for training, and the multi-dimensional output of the fully connected layer of CNN is used as the feature vector. The k-means clustering algorithm is used to calculate the eigenvector clustering center of the hydropower unit with a clean flow state and a high sediment content state, and the characteristic index of the hydropower unit sediment content is constructed based on the Euclidean distance method. We define this characteristic index as SI, and the change in the SI value can reflect the degree of sediment content in the flow of the unit. A higher SI value indicates a lower sediment content, while a lower SI value suggests a higher sediment content. Combined with the sediment voiceprint data of the test bench, when the water flow changed from clear water to high sediment flow (1.492 × 105 mg/L), the SI value decreased from 1 to 0.06, and when the water flow with high sediment content returned to clear water, the SI value returned to 1. The experiment proves the effectiveness of the method. The extracted feature index can be used to detect the flow sediment content of the hydropower unit and give early warning in time, so as to improve the maintenance level of the hydropower unit.
Geographical Differences Weaken the Convergence Effect of the Rhizosphere Bacteria of Rubber Trees
Authors: Xu Xinnuo , Wei Yaqing , Lan Guoyu
Published: February 2024

The rhizosphere has been observed to both enrich and deplete soil microorganisms, but it remains unclear whether rhizosphere microorganisms of the same species exhibit convergence in different climatic regions. This study employed high-throughput sequencing technology to analyze the bacterial communities in the soil, rhizosphere, and rhizoplane of rubber trees across varying climatic regions. The findings revealed the following: Firstly, the rhizoplane bacteria demonstrated a convergent effect. In Hainan and Xishuangbanna, two core operational classification units (OTUs) were enriched from the soil, while four core OTUs were depleted, indicating that the rhizoplane bacteria were influenced by host regulation and exhibited a certain degree of convergence due to the rhizosphere effect. Secondly, the rhizoplane bacteria exhibited a geographic distribution pattern, with significant differences observed in different climatic regions. Notably, there were significant variations in α- and β-diversity, with Xishuangbanna displaying significantly higher diversity compared to Hainan. Moreover, significant differences were observed at the phylum level in terms of composition. Temperature, soil organic matter, soil total nitrogen, and total phosphorus were identified as the primary factors contributing to these differences. In conclusion, although some convergence was observed in the rhizoplane bacteria, the influence of geographic differences weakened this effect.
Effects of Soil Rhizobia Abundance on Interactions between a Vector, Pathogen, and Legume Plant Host
Authors: Malhotra Pooja , Basu Saumik , Lee Benjamin W. , Oeller Liesl , Crowder David W.
Published: February 2024

Soil rhizobia promote nitrogen fixation in legume hosts, maximizing their tolerance to different biotic stressors, plant biomass, crop growth, and yield. While the presence of soil rhizobia is considered beneficial for plants, few studies have assessed whether variation in rhizobia abundance affects the tolerance of legumes to stressors. To address this, we assessed the effects of variable soil rhizobia inoculum concentrations on interactions between a legume host (Pisum sativum), a vector insect (Acyrthosiphon pisum), and a virus (Pea enation mosaic virus, PEMV). We showed that increased rhizobia abundance reduces the inhibitory effects of PEMV on the nodule formation and root growth in 2-week-old plants. However, these trends were reversed in 4-week-old plants. Rhizobia abundance did not affect shoot growth or virus prevalence in 2- or 4-week-old plants. Our results show that rhizobia abundance may indirectly affect legume tolerance to a virus, but effects varied based on plant age. To assess the mechanisms that mediated interactions between rhizobia, plants, aphids, and PEMV, we measured the relative expression of gene transcripts related to plant defense signaling. Rhizobia concentrations did not strongly affect the expression of defense genes associated with phytohormone signaling. Our study shows that an abundance of soil rhizobia may impact a plant’s ability to tolerate stressors such as vector-borne pathogens, as well as aid in developing sustainable pest and pathogen management systems for legume crops. More broadly, understanding how variable rhizobia concentrations can optimize legume-rhizobia symbiosis may enhance the productivity of legume crops.
Robotic Care Equipment Improves Communication between Care Recipient and Caregiver in a Nursing Home as Revealed by Gaze Analysis: A Case Study
Authors: Yoshimi Tatsuya , Kato Kenji , Aimoto Keita , Kondo Izumi
Published: February 2024

The use of robotic nursing care equipment is an important option for solving the shortage of nursing care personnel, but the effects of its introduction have not been fully quantified. Hence, we aimed to verify that face-to-face care is still provided by caregivers in transfer situations when using robotic nursing care equipment. This study was conducted at a nursing home where the bed-release assist robot “Resyone Plus” is installed on a long-term basis. Caregiver gaze was analyzed quantitatively for one user of the equipment during transfer situations, and communication time, which involved looking at the face of the care recipient, as well as face-to-face vocalization, was measured. The caregiver spent 7.9 times longer looking at the face of and talking to the care recipient when using Resyone than when performing a manual transfer. In addition, the recipient was observed to smile during Resyone separation, which takes about 30 s. The results indicate a possible improvement in the QOL of care recipients through the use of robotic nursing care equipment as a personal care intervention. The ongoing development of robot technology is thus expected to continue to reduce the burden of caregiving as well as to improve the QOL of care recipients.
Addressing Adolescent Substance Abuse and Risky Sexual Health Behaviors via Youth-Led Initiatives: A Review of the Teens Linked to Care Pilot Program
Authors: Bednar Hailey , McMillan Suzanne , Sidibe Turquoise , Bennett Melissa
Published: February 2024

The Teens Linked to Care (TLC) pilot program utilized a youth-led integrated strategy to prevent substance use and risky sexual behavior among school-attending youth at disproportionate risk, including sexual and gender minority youth (SGMY). The program developed a framework to address human immunodeficiency virus (HIV), sexually transmitted diseases (STDs), teen pregnancy, and high-risk substance use within schools. Strategies included education, primary prevention, and early detection screening. High schools in two rural counties served as pilot sites and successfully implemented strategies to encourage youth to engage in healthier sexual practices and avoid harmful substance use. An evaluation of TLC demonstrated its effectiveness in developing youth-friendly resources, promoting connectedness, and building resiliency among students and staff. This program used the results of two iterations of the Youth Risk Behavior Survey (YRBS) to understand the situations of youth, including SGMY. YRBS results helped tailor program activities for SGMY populations. By focusing on education, access to care, and supportive environments, schools can utilize the TLC model to combat youth substance abuse and risky sexual practices.
Telehealth Intervention: A Proposal for a Telemedicine Manual to Ascertain the Civil Disability Status in Italy
Authors: Di Fazio Nicola , Delogu Giuseppe , Morena Donato , Carfora Eugenia , Tripi Dalila , Rinaldi Raffaella , Frati Paola , Fineschi Vittorio
Published: February 2024

(1) This paper aims to propose a telematic method for assessing the state of disability by a social worker member of the Medico-Legal Commissions of INPS. (2) We have proceeded to delve into and compare the current methods with new strategies to enhance the experience linked to the assessment of the status of disability in terms of timing and accessibility, eliminating the need for a direct visit. (3) The proposed protocol can be applied in cases where patients cannot be physically moved, following a medical visit at home, and when the mere evaluation of documents is sufficient. In both cases, a remote session with the Commission is necessary to fill in the required information about the socio-environmental section. This protocol can be applied to different platforms such as Skype™ since it is free and widely used throughout the country. (4) It should be noted that telemedicine solutions cannot completely replace face-to-face interaction; however, in some limited cases, they can optimize the process and timing, avoiding the need to move or interact only by telephone.
Downregulation of LAMB3 Altered the Carcinogenic Properties of Human Papillomavirus 16-Positive Cervical Cancer Cells
Authors: Wattanathavorn Warattaya , Seki Masahide , Suzuki Yutaka , Buranapraditkun Supranee , Kitkumthorn Nakarin , Sasivimolrattana Thanayod , Bhattarakosol Parvapan , Chaiwongkot Arkom
Published: February 2024

Nearly all cervical cancer cases are caused by infection with high-risk human papillomavirus (HR-HPV) types. The mechanism of cervical cell transformation is related to the powerful action of viral oncoproteins and cellular gene alterations. Transcriptomic data from cervical cancer and normal cervical cells were utilized to identify upregulated genes and their associated pathways. The laminin subunit beta-3 (LAMB3) mRNAwas overexpressed in cervical cancer and was chosen for functional analysis. The LAMB3 was predominantly expressed in the extracellular region and the plasma membrane, which play a role in protein binding and cell adhesion molecule binding, leading to cell migration and tissue development. LAMB3 was found to be implicated in the pathway in cancer and the PI3K-AKT signaling pathway. LAMB3 knockdown decreased cell migration, invasion, anchorage-dependent and anchorage-independent cell growth and increased the number of apoptotic cells. These effects were linked to a decrease in protein levels involved in the PI3K-AKT signaling pathway and an increase in p53 protein. This study demonstrated that LAMB3 could promote cervical cancer cell migration, invasion and survival.
Kinome-Wide Virtual Screening by Multi-Task Deep Learning
Authors: Hu Jiaming , Allen Bryce K. , Stathias Vasileios , Ayad Nagi G. , Schürer Stephan C.
Published: February 2024

Deep learning is a machine learning technique to model high-level abstractions in data by utilizing a graph composed of multiple processing layers that experience various linear and non-linear transformations. This technique has been shown to perform well for applications in drug discovery, utilizing structural features of small molecules to predict activity. Here, we report a large-scale study to predict the activity of small molecules across the human kinome—a major family of drug targets, particularly in anti-cancer agents. While small-molecule kinase inhibitors exhibit impressive clinical efficacy in several different diseases, resistance often arises through adaptive kinome reprogramming or subpopulation diversity. Polypharmacology and combination therapies offer potential therapeutic strategies for patients with resistant diseases. Their development would benefit from a more comprehensive and dense knowledge of small-molecule inhibition across the human kinome. Leveraging over 650,000 bioactivity annotations for more than 300,000 small molecules, we evaluated multiple machine learning methods to predict the small-molecule inhibition of 342 kinases across the human kinome. Our results demonstrated that multi-task deep neural networks outperformed classical single-task methods, offering the potential for conducting large-scale virtual screening, predicting activity profiles, and bridging the gaps in the available data.
A Combination of β-Aescin and Newly Synthesized Alkylamidobetaines as Modern Components Eradicating the Biofilms of Multidrug-Resistant Clinical Strains of Candida glabrata
Authors: Paluch Emil , Bortkiewicz Olga , Widelski Jarosław , Duda-Madej Anna , Gleńsk Michał , Nawrot Urszula , Lamch Łukasz , Długowska Daria , Sobieszczańska Beata , Wilk Kazimiera A.
Published: February 2024

The current trend in microbiological research aimed at limiting the development of biofilms of multidrug-resistant microorganisms is increasingly towards the search for possible synergistic effects between various compounds. This work presents a combination of a naturally occurring compound, β-aescin, newly synthesized alkylamidobetaines (AABs) with a general structure—CnTMDAB, and antifungal drugs. The research we conducted consists of several stages. The first stage concerns determining biological activity (antifungal) against selected multidrug-resistant strains of Candida glabrata (C. glabrata) with the highest ability to form biofilms. The second stage of this study determined the activity of β-aescin combinations with antifungal compounds and alkylamidobetaines. In the next stage of this study, the ability to eradicate a biofilm on the polystyrene surface of the combination of β-aescin with alkylamidobetaines was examined. It has been shown that the combination of β-aescin and alkylamidobetaine can firmly remove biofilms and reduce their viability. The last stage of this research was to determine the safety regarding the cytotoxicity of both β-aescin and alkylamidobetaines. Previous studies on the fibroblast cell line have shown that C9 alkylamidobetaine can be safely used as a component of anti-biofilm compounds. This research increases the level of knowledge about the practical possibilities of using anti-biofilm compounds in combined therapies against C. glabrata.
The Phytochemical Agathisflavone Modulates miR146a and miR155 in Activated Microglia Involving STAT3 Signaling
Authors: dos Santos Balbino Lino , dos Santos Cleonice Creusa , da Silva Karina Costa , Nonaka Carolina Kymie Vasques , Souza Bruno Solano de Freitas , David Jorge Mauricio , de Oliveira Juciele Valéria Ribeiro , Costa Maria de Fátima Dias , Butt Arthur Morgan , da Silva Victor Diogenes Amaral , Costa Silvia Lima
Published: February 2024

MicroRNAs (miRs) act as important post-transcriptional regulators of gene expression in glial cells and have been shown to be involved in the pathogenesis of neurodegenerative diseases, including Alzheimer’s disease (AD). Here, we investigated the effects of agathisflavone, a biflavonoid purified from the leaves of Cenostigma pyramidale (Tul.), on modulating the expression of miRs and inflammatory mediators in activated microglia. C20 human microglia were exposed to oligomers of the β-amyloid peptide (Aβ, 500 nM) for 4 h or to lipopolysaccharide (LPS, 1 µg/mL) for 24 h and then treated or not with agathisflavone (1 µM) for 24 h. We observed that β-amyloid and LPS activated microglia to an inflammatory state, with increased expression of miR-146a, miR-155, IL1-β, IL-6, and NOS2. Treatment with agathisflavone resulted in a significant reduction in miR146a and miR-155 induced by LPS or Aβ, as well as inflammatory cytokines IL1-β, IL-6, and NOS2. In cells stimulated with Aβ, there was an increase in p-STAT3 expression that was reduced by agathisflavone treatment. These data identify a role for miRs in the anti-inflammatory effect of agathisflavone on microglia in models of neuroinflammation and AD.
The Variability of Tryptophan Metabolism in Patients with Mixed Type of Irritable Bowel Syndrome
Authors: Chojnacki Jan , Konrad Paulina , Mędrek-Socha Marta , Kaczka Aleksandra , Błońska Aleksandra , Zajdel Radosław , Chojnacki Cezary , Gąsiorowska Anita
Published: February 2024

Patients with a mixed type of irritable bowel syndrome (IBS-M) experience constipation and diarrhea, which alternate between weeks or months. The pathogenesis of this syndrome is still little understood. The aim of the study was mainly to evaluate the urinary excretion of selected tryptophan (TRP) metabolites during the constipation and diarrhea periods of this syndrome. In 36 patients with IBS-M and 36 healthy people, serum serotonin level was measured by ELISA and urinary levels of 5-hydroxyindoleacetic acid (5-HIAA), kynurenine (KYN) and indican (3-IS) were determined using the LC-MS/MS method. The levels of all above metabolites were higher in the patient group, and increased significantly during the diarrheal period of IBS-M. In particular, the changes concerned 5-HIAA (3.67 ± 0.86 vs. 4.59 ± 0.95 mg/gCr, p < 0.001) and 3-IS (80.2 ± 17.4 vs. 93.7 ± 25.1 mg/g/Cr, p < 0.001). These changes coexisted with gut microbiome changes, assessed using hydrogen-methane and ammonia breath tests. In conclusion, the variability of TRP metabolism and the gut microbiome may cause the alternation of IBS-M symptoms.
Identification of bZIP Transcription Factors That Regulate the Development of Leaf Epidermal Cells in Arabidopsis thaliana by Single-Cell RNA Sequencing
Authors: Wu Rui , Liu Zhixin , Sun Susu , Qin Aizhi , Liu Hao , Zhou Yaping , Li Weiqiang , Liu Yumeng , Hu Mengke , Yang Jincheng , Rochaix Jean-David , An Guoyong , Herrera-Estrella Luis , Tran Lam-Son Phan , Sun Xuwu
Published: February 2024

Epidermal cells are the main avenue for signal and material exchange between plants and the environment. Leaf epidermal cells primarily include pavement cells, guard cells, and trichome cells. The development and distribution of different epidermal cells are tightly regulated by a complex transcriptional regulatory network mediated by phytohormones, including jasmonic acid, and transcription factors. How the fate of leaf epidermal cells is determined, however, is still largely unknown due to the diversity of cell types and the complexity of their regulation. Here, we characterized the transcriptional profiles of epidermal cells in 3-day-old true leaves of Arabidopsis thaliana using single-cell RNA sequencing. We identified two genes encoding BASIC LEUCINE-ZIPPER (bZIP) transcription factors, namely bZIP25 and bZIP53, which are highly expressed in pavement cells and early-stage meristemoid cells. Densities of pavement cells and trichome cells were found to increase and decrease, respectively, in bzip25 and bzip53 mutants, compared with wild-type plants. This trend was more pronounced in the presence of jasmonic acid, suggesting that these transcription factors regulate the development of trichome cells and pavement cells in response to jasmonic acid.
Unraveling Biomarker Signatures in Triple-Negative Breast Cancer: A Systematic Review for Targeted Approaches
Authors: Pastena Paola , Perera Hiran , Martinino Alessandro , Kartsonis William , Giovinazzo Francesco
Published: February 2024

Triple-negative breast cancer (TNBC) is one of the most aggressive subtypes of breast cancer, marked by poor outcomes and dismal prognosis. Due to the absence of targetable receptors, chemotherapy still represents the main therapeutic option. Therefore, current research is now focusing on understanding the specific molecular pathways implicated in TNBC, in order to identify novel biomarker signatures and develop targeted therapies able to improve its clinical management. With the aim of identifying novel molecular features characterizing TNBC, elucidating the mechanisms by which these molecular biomarkers are implicated in the tumor development and progression, and assessing the impact on cancerous cells following their inhibition or modulation, we conducted a literature search from the earliest works to December 2023 on PubMed, Scopus, and Web Of Science. A total of 146 studies were selected. The results obtained demonstrated that TNBC is characterized by a heterogeneous molecular profile. Several biomarkers have proven not only to be characteristic of TNBC but also to serve as potential effective therapeutic targets, holding the promise of a new era of personalized treatments able to improve its prognosis. The pre-clinical findings that have emerged from our systematic review set the stage for further investigation in forthcoming clinical trials.
Cisplatin Nephrotoxicity Is Critically Mediated by the Availability of BECLIN1
Authors: Bork Tillmann , Hernando-Erhard Camila , Liang Wei , Tian Zhejia , Yamahara Kosuke , Huber Tobias B.
Published: February 2024

Cisplatin nephrotoxicity is a critical limitation of solid cancer treatment. Until now, the complex interplay of various pathophysiological mechanisms leading to proximal tubular cell apoptosis after cisplatin exposure has not been fully understood. In our study, we assessed the role of the autophagy-related protein BECLIN1 (ATG6) in cisplatin-induced acute renal injury (AKI)—a candidate protein involved in autophagy and with putative impact on apoptosis by harboring a B-cell lymphoma 2 (BCL2) interaction site of unknown significance. By using mice with heterozygous deletion of Becn1, we demonstrate that reduced intracellular content of BECLIN1 does not impact renal function or autophagy within 12 months. However, these mice were significantly sensitized towards cisplatin-induced AKI, and by using Becn1+/−;Sglt2-Cre;Tomato/EGFP mice with subsequent primary cell analysis, we confirmed that nephrotoxicity depends on proximal tubular BECLIN1 content. Mechanistically, BECLIN1 did not impact autophagy or primarily the apoptotic pathway. In fact, a lack of BECLIN1 sensitized mice towards cisplatin-induced ER stress. Accordingly, the ER stress inhibitor tauroursodeoxycholic acid (TUDCA) blunted cisplatin-induced cell death in Becn1 heterozygosity. In conclusion, our data first highlight a novel role of BECLIN1 in protecting against cellular ER stress independent from autophagy. These novel findings open new therapeutic avenues to intervene in this important intracellular stress response pathway with a promising impact on future AKI management.
Genetic Characterization of Dilated Cardiomyopathy in Romanian Adult Patients
Authors: Voinescu Oana Raluca , Ionescu Bogdana Ioana , Militaru Sebastian , Afana Andreea Sorina , Sascau Radu , Vasiliu Laura , Onciul Sebastian , Dobrescu Mihaela Amelia , Cozlac Ramona Alina , Cozma Dragos , Rancea Raluca , Dragulescu Bogdan , Andreescu Nicoleta Ioana , Puiu Maria , Jurcut Ruxandra Oana , Chirita-Emandi Adela
Published: February 2024

Dilated cardiomyopathy (DCM) represents a group of disorders affecting the structure and function of the heart muscle, leading to a high risk of heart failure and sudden cardiac death (SCD). DCM frequently involves an underlying genetic etiology. Genetic testing is valuable for risk stratification, treatment decisions, and family screening. Romanian population data on the genetic etiology of DCM are lacking. We aimed to investigate the genetic causes for DCM among Romanian adult patients at tertiary referral centers across the country. Clinical and genetic investigations were performed on adult patients presenting to tertiary hospitals in Romania. The genetic investigations used next-generation sequencing panels of disease-associated DCM genes. A total of 122 patients with DCM underwent genetic testing. The mean age at DCM diagnosis was 41.6 ± 12.4 years. The genetic investigations identified pathogenic or likely pathogenic variants in 50.8% of participants, while 25.4% had variants of unknown significance. Disease-causing variants in 15 genes were identified in people with DCM, with 31 previously unreported variants. Variants in TTN, LMNA, and DSP explained 75% of genetic causes for DCM. In total, 52.4% of patients had a family history of DCM/SCD. Left ventricular ejection fraction of <35% was observed in 41.9% of patients with disease-causing variants and 55% with negative or uncertain findings. Further genotype-phenotype correlations were explored in this study population. The substantial percentage (50.8%) of disease-causing variants identified in patients with DCM acknowledges the importance of genetic investigations. This study highlights the genetic landscape in genes associated with DCM in the Romanian population.
In Silico Screening of Bacteriocin Gene Clusters within a Set of Marine Bacillota Genomes
Authors: Teber Rabeb , Asakawa Shuichi
Published: February 2024

Due to their potential application as an alternative to antibiotics, bacteriocins, which are ribosomally synthesized antimicrobial peptides produced by bacteria, have received much attention in recent years. To identify bacteriocins within marine bacteria, most of the studies employed a culture-based method, which is more time-consuming than the in silico approach. For that, the aim of this study was to identify potential bacteriocin gene clusters and their potential producers in 51 marine Bacillota (formerly Firmicutes) genomes, using BAGEL4, a bacteriocin genome mining tool. As a result, we found out that a majority of selected Bacillota (60.78%) are potential bacteriocin producers, and we identified 77 bacteriocin gene clusters, most of which belong to class I bacteriocins known as RiPPs (ribosomally synthesized and post-translationally modified peptides). The identified putative bacteriocin gene clusters are an attractive target for further in vitro research, such as the production of bacteriocins using a heterologous expression system.
The Conjugates of Indolo[2,3-b]quinoline as Anti-Pancreatic Cancer Agents: Design, Synthesis, Molecular Docking and Biological Evaluations
Authors: Cybulski Marcin , Sidoryk Katarzyna , Zaremba-Czogalla Magdalena , Trzaskowski Bartosz , Kubiszewski Marek , Tobiasz Joanna , Jaromin Anna , Michalak Olga
Published: February 2024

New amide conjugates of hydroxycinnamic acids (HCAs) and the known antineoplastic 5,11-dimethyl-5H-indolo[2,3-b]quinoline (DiMIQ), an analog of the natural alkaloid neocryptolepine, were synthesized and tested in vitro for anticancer activity. The compound 9-[((2-hydroxy)cinnamoyl)amino]-5,11-dimethyl-5H-indolo[2,3-b]quinoline (2), which contains the ortho-coumaric acid fragment, demonstrated dose-dependent effectiveness against both normal BxPC-3 and metastatic AsPC-1 pancreatic cancer cells. The IC50 values for AsPC-1 and BxPC-3 were 336.5 nM and 347.5 nM, respectively, with a selectivity index of approximately 5 for both pancreatic cancer cells compared to normal dermal fibroblasts. Conjugate 2 did not exhibit any hemolytic activity against human erythrocytes at the tested concentration. Computational studies were performed to predict the pharmacokinetic profile and potential mechanism of action of the synthesized conjugates. These studies focused on the ADME properties of the conjugates and their interactions with DNA, as well as DNA–topoisomerase alpha and beta complexes. All of the conjugates studied showed approximately one order of magnitude stronger binding to DNA compared to the reference DiMIQ, and approximately two orders of magnitude stronger binding to the topoisomerase II–DNA complex compared to DiMIQ. Conjugate 2 was predicted to have the strongest binding to the enzyme–DNA complex, with a Ki value of 2.8 nM.
Procrastination Mediates the Relationship between Problematic TikTok Use and Depression among Young Adults
Authors: Rogowska Aleksandra M. , Cincio Aleksandra
Published: February 2024

Background: Although the prevalence of depression has increased significantly in recent years, especially in the young adult population, little is known about its causes and risk factors. The study aims to examine the mediating role of TikTok use in the relationships between procrastination and depression in young adults. Methods: A sample of 448 adults, ranging in age from 18 to 35 years (M = 24.45, SD = 3.76), including 214 men (48%), participated in the study. The cross-sectional survey consists of a modified Bergen Facebook Addiction Scale (BFAS) to assess problematic TikTok use (PTTU), the Pure Procrastination Scale (PPS) for procrastination measurement, and the nine-item Patient Health Questionnaire (PHQ-9) for screening depression symptoms. Results: The independent samples t-test indicates that emerging adults (ages ranging between 18 and 25 years) have more severe depression symptoms than young adults (26–35 years old). Gender differences were not found for procrastination, PTTU, and depression symptoms. Positive correlations were found between procrastination, PTTU, and depression symptoms. PTTU plays a mediating role in the associations between procrastination and depression. Conclusions: Both procrastination and PTTU treatment should be prioritized in the prevention and intervention programs for improving mental health among young adults. Some effective therapeutic methods are recommended.
Assessing the Effectiveness of Rehabilitation Interventions through the World Health Organization Disability Assessment Schedule 2.0 on Disability—A Systematic Review
Authors: Potcovaru Claudia-Gabriela , Salmen Teodor , Bîgu Dragoș , Săndulescu Miruna Ioana , Filip Petruța Violeta , Diaconu Laura Sorina , Pop Corina , Ciobanu Ileana , Cinteză Delia , Berteanu Mihai
Published: February 2024

(1) Background: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a tool designed to measure disability in accordance with the International Classification of Functioning, Disability and Health. Measuring disability is becoming increasingly important due to its high prevalence, which continues to rise. Rehabilitation interventions can reduce disability and enhance functioning. (2) Objective: The present study aims to assess the impact of rehabilitation interventions on reducing disability, as measured by the WHODAS 2.0 questionnaire. It also seeks to identify which specific rehabilitation interventions are more effective and to explore other disability assessment questionnaires. (3) Methods: Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, we conducted a systematic review, with the protocol registered with the identifier CRD42023495309, focused on “WHODAS” and “rehabilitation” using PubMed and Web of Science electronic databases. (4) Results: We identified 18 articles from various regions encompassing patients with various health conditions, related to stroke, the cardiovascular system (cardiovascular disease, chronic heart failure), the pulmonary system (chronic obstructive pulmonary disease), the neurologic system (Parkinson’s disease, cerebral palsy, neurodegenerative disease), the musculoskeletal system (orthopaedic surgery), cancer, and chronic pain, and among frail elderly. These patients have received a wide range of rehabilitation interventions: from conventional therapy to virtual reality, robot-assisted arm training, exergaming, and telerehabilitation. (5) Discussion and Conclusions: A wide range of rehabilitation techniques can effectively improve disability with various comorbidities, offering numerous benefits. The WHODAS 2.0 questionnaire proves to be an efficient and reliable tool for measuring disability, and scores have a tendency to decrease after rehabilitation.
Systemic Immune-Inflammation Index and Systemic Inflammatory Response Index as Predictors of Mortality in ST-Elevation Myocardial Infarction
Authors: Marchi Federica , Pylypiv Nataliya , Parlanti Alessandra , Storti Simona , Gaggini Melania , Paradossi Umberto , Berti Sergio , Vassalle Cristina
Published: February 2024

(1) Background: The systemic inflammatory response index (SIRI; neutrophil count × monocyte/lymphocyte count), and the systemic immune-inflammation index (SII; platelet count × neutrophil count/lymphocyte count) are recently proposed biomarkers to assess the immune and inflammatory status. However, data on SIRI and SII are still relatively lacking and do not definitively and exhaustively define their role as predictors of an adverse prognosis in acute myocardial infarction (AMI). The aim of the present study was to evaluate SII and SIRI determinants as well as to assess SIRI and SII prognostic power in ST-elevation myocardial infarction (STEMI). (2) Methods: A total of 105 STEMI patients (74 males, 70 ± 11 years) were studied (median follow-up 54 ± 25 months, 24 deaths). (3) Results: The main determinants of SIRI and SII were creatinine and brain natriuretic peptide (BNP) (multivariate regression). Patients with higher SIRI (>75th percentile, 4.9) and SII (>75th percentile, 1257.5) had lower survival rates than those in the low SIRI/SII group (Kaplan–Meier analysis). Univariate Cox regression revealed that high SIRI and SII were associated with mortality (HR: 2.6, 95% CI: 1.1–5.8, p < 0.05; 2.2, 1–4.9, p ≤ 0.05, respectively); however, these associations lost their significance after multivariate adjustment. (4) Conclusions: SIRI and SII association with mortality was significantly affected by confounding factors in our population, especially creatinine and BNP, which are associated with both the inflammatory indices and the outcome.