bluuebunny/crossref_metadata_2025 huggingface dataset:
It Is Not Always Bad, Positive Experiences of Guardians Utilizing Vhembe Primary Health Care Facilities for Under-Five Child Health Services: An Interpretative Phenomenology Study
Authors: Tshivhase Livhuwani , Moyo Idah , Moloko Sophy Mogatlogedi
Published: June 2024

Introduction: Guardians play a pivotal role in the management of childhood illness. Their responsibilities include home managing childhood illnesses and supporting continuity of care following healthcare facility treatment. Evidence has shown that guardians' negative experience in health care facilities when accessing under-five childcare services impacts their utilization of such facilities. Exploration of guardians' experiences is important in providing the evidence base necessary for quality childcare and reducing under-five morbidity and mortality. The study aimed to explore the experiences of guardians of children under five regarding the care received in Vhembe healthcare facilities.
Methods: A qualitative approach using an interpretative phenomenology analysis (IPA) was used for this study. The study was conducted in eight primary healthcare facilities in the Vhembe district, with the highest headcount for children under five. Sixteen guardians were purposefully sampled for the study. Data analysis was done following the IPA steps of data analysis. Trustworthiness criteria were followed: credibility, confirmability, dependability, authenticity, and transferability. Ethical approval was obtained from the university and the province, followed by permission from the district and the operational managers before data collection.
Results: The three emerging themes are associated with participants' positive experiences as they interfaced within the healthcare system: quality care, healthcare environment, support, and empowerment. The ten sub-themes were: timely service provision, availability of medicines, perceived nursing competence and professionalism, person-centred care, welcoming environment, effective communication, positive attitude of healthcare providers, guardians’ satisfaction with care received, guardians' involvement in childcare and community support.
Conclusion: It is indeed not always bad. The participants in this study had positive care experiences, which is crucial in the optimal utilization of health care services, resulting in improved health outcomes.
Investigating the Antifibrotic Effects of β-Citronellol on a TGF-β1-Stimulated LX-2 Hepatic Stellate Cell Model
Authors: Buakaew Watunyoo , Krobthong Sucheewin , Yingchutrakul Yodying , Potup Pachuen , Thongsri Yordhathai , Daowtak Krai , Ferrante Antonio , Usuwanthim Kanchana
Published: June 2024

Liver fibrosis, a consequence of chronic liver damage or inflammation, is characterized by the excessive buildup of extracellular matrix components. This progressive condition significantly raises the risk of severe liver diseases like cirrhosis and hepatocellular carcinoma. The lack of approved therapeutics underscores the urgent need for novel anti-fibrotic drugs. Hepatic stellate cells (HSCs), key players in fibrogenesis, are promising targets for drug discovery. This study investigated the anti-fibrotic potential of Citrus hystrix DC. (KL) and its bioactive compound, β-citronellol (β-CIT), in a human HSC cell line (LX-2). Cells exposed to TGF-β1 to induce fibrogenesis were co-treated with crude KL extract and β-CIT. Gene expression was analyzed by Real-Time qRT-PCR to assess fibrosis-associated genes (ACTA2, COL1A1, TIMP1, SMAD2). The releasing of matrix metalloproteinase 9 (MMP-9) was measured by ELISA. Proteomic analysis and molecular docking identified potential signaling proteins and modeled protein-ligand interactions. Results showed that both crude KL extract and β-CIT suppressed HSC activation genes and MMP-9 levels. The MAPK signaling pathway emerged as a potential target of β-CIT. This study demonstrates the ability of KL extract and β-CIT to inhibit HSC activation during TGF-β1-induced fibrogenesis, suggesting a promising role of β-CIT in anti-hepatic fibrosis therapies.
Ecosystem Services Trade-Offs in Peri-Urban Landscapes: Drivers, Governance Obstacles and Improvements
Authors: Spyra Marcin , Caló Nica Claudia , Martínez Pastur Guillermo , Lencinas María Vanessa , La Rosa Daniele
Published: June 2024

Trade-offs in ecosystem services (ES) manifest when the enhancement of one service leads to the diminishing of another. These trade-offs pose a notable challenge, impacting the sustainability of particular socio-ecological systems peri-urban landscapes (PULs). This issue arises from the dynamic processes associated with peri-urbanization, posing threats to natural ecosystems and their services in peri-urban areas. Additionally, the escalating demand for ecosystem services in PULs contributes to these trade-offs. Policy making and planning concerning ecosystem ES trade-offs in PULs should prioritize the promotion of a balance between conflicting services and foster synergies among them. However, it is noteworthy that ES trade-offs in PULs are not given high priority on policy and planning agendas. Knowledge regarding policy development and planning for ES trade-offs in PULs often remains concealed within specific country and regional case studies. Consequently, this research seeks to characterize the ES trade-offs in the selected PUL case studies, with the objective of identifying potential commonalities among them. Furthermore, the study aims to identify: (i) the factors driving ES trade-offs, (ii) challenges pertaining to how policy-making and planning address ES trade-offs in PULs, and (iii) recommendations for enhancing governance practices to better manage peri-urban ES trade-offs. We designed a semi-quantitative survey and collected information about 23 different case studies, located across the world. Answers from this survey were analyzed with the help of Principal Component Analysis approach. The results showed that the most common trade-off occurred between “cultural and provisioning” and “regulating and provisioning” ES. It was found that urban development is the basic driver behind emerging of the examined trade-offs. To tackle this issue at the governance level, the study recommends establishing mechanisms to facilitate collaboration among stakeholders. This should be accompanied by robust dissemination efforts and the promotion of awareness among actors regarding the fundamental concepts of ES and PULs.
Parvoviruses of Aquatic Animals
Authors: Kibenge Frederick Stephen , Kibenge Molly Juliet , Godoy Marcos Gilberto
Published: June 2024

Family Parvoviridae consists of small, non-enveloped viruses with linear, single-stranded DNA genomes of approximately 4-6 kilobases, subdivided into 3 subfamilies: Parvovirinae, Densovirinae and Hamaparvovirinae. Parvoviruses of aquatic animals infect crustaceans, mollusks, and finfish. In this review, these parvoviruses, which are highly host-specific and are associated with mass morbidity and mortality in both farmed and wild aquatic animals are described. They include Cherax quadricarinatus densovirus (CqDV) in freshwater crayfish; Sea star-associated densovirus (SSaDV) in sunflower sea star on the Northeastern Pacific Coast; Clinch densovirus 1 in freshwater mussels in the Clinch River, Virginia, and Tennessee, USA, in subfamily Densovirinae; Hepatopancreatic parvovirus (HPV) and Infectious hypodermal and hematopoietic necrosis virus (IHHNV) in farmed shrimp worldwide; Syngnathid ichthamaparvovirus 1 in gulf pipefish in the Gulf of Mexico and parts of South America; and Tilapia parvovirus (TiPV) in farmed tilapia in China and Thailand, in the subfamily Hamaparvovirinae. In addition, virus megataxonomy has enabled the inclusion of novel parvoviruses detected in both diseased and healthy animals using metagenomic sequencing for virus discovery, such as the novel zander parvovirus from zander in Hungary, novel salmon parvovirus from sockeye salmon smolts in British Columbia-Canada, and Spawner-isolated mortality virus (SMV) from shrimp broodstock in Australia.
Design of a Robust Controller for Induction Motor Drive Systems Based on Extendable Fuzzy Theory
Authors: Chao Kuei-Hsiang , Chang Cheng-Lung
Published: June 2024

In this paper, an extendable fuzzy robust speed controller suitable for induction motor drive system was proposed. Firstly, the two-degrees-of-freedom (2DOF) robust control technology with feedforward control and disturbance elimination method was adopted. Upon parameter variation and load disturbance, the motor drive system could utilize a robust controller to generate compensation signals and reduce the impact on controlling performance of the motor drive system. The magnitude of the compensation signal was adjusted via the weighting factor. However, should a fixed weighting factor be adopted, system instability might be generated easily when time delay and saturation of control force occur. Based on the above, the smart method of extendable fuzzy theory (EFT) was adopted in this paper to adjust adequate weighting factors, where the controlling performance of the induction motor drive system could be improved accordingly. The method divided the speed difference between motor speed command and actual speed of the induction motor, and the variation rate for such speed difference into 20 regional categories. The correlation degree between the speed difference of actual feedback, variation rate for speed difference and each regional category was then calculated, where more suitable weighting factor was selected. Therefore, the proposed extendable fuzzy robust 2DOF controller with variable weighting factor designed will allow better performance for response in speed tracking and load regulation. Lastly, the simulation software Matlab/Simulink was applied to simulate the utilization of the controlling method proposed for the induction motor drive system. For both the response in speed tracking and load regulation, the simulation results proved that the extendable fuzzy robust speed controller proposed provided better controlling performance than the conventional robust controller.
AI-Powered Camera and Sensors for the Rehabilitation Hand Exoskeleton
Authors: SARKER MD ABDUL BASET , Sola-thomas Juan Pablo , Imtiaz Masudul H.
Published: June 2024

Due to Motor Neurone Diseases, a large population remains disabled worldwide, negatively impacting their independence and quality of life. This typically involves a weakness in the hand and forearm muscles, making it difficult to perform fine motor tasks such as writing, buttoning a shirt, or gripping objects. This project presents a vision-enabled rehabilitation hand exoskeleton to assist disabled persons in their hand movements. The design goal was to create an accessible tool to help with a simple interface requiring no training. This prototype is built on a commercially available glove where a camera and embedded processor were integrated to help open and close the hand, using air pressure, thus grabbing an object. An accelerometer is also implemented to detect the characteristic hand gesture to release the object when desired. This passive vision-based control differs from active EMG-based designs as it does not require individualized training. Continuing the research will reduce the cost, weight, and power consumption to facilitate mass implementation.
Analysis of Renal Responses to Whole-body γ-Irradiation alone or Combined with Skin Injury Before the Onset of Renal Dysfunction in Mice
Authors: Dawit Galeila , Wang Hong , Packialakshmi Balamurugan , Cannon Georgetta , Kiang Juliann G. , Zhou Xiaoming
Published: June 2024

The delayed effects of radiation alone and combined with skin injury on the kidney are poorly understood. We aimed to unravel and compare the inflammatory, oxidative stress, and survival signaling pathways in the kidney cortex before mice manifested renal dysfunction after these two injuries. Mice were analyzed 30 days post irradiation (9.5 Gy for radiation alone, 9.0 Gy for radiation combined with a skin wound). Radiation alone did not significantly alter BUN, NGAL, or KIM-1 protein levels, indicating preserved kidney function. However, the combined injury had increased KIM-1 protein levels, indicating a nuanced effect on renal health. Radiation and combined injury activated distinct inflammatory pathways. Radiation increased STAT3-Y705 phosphorylation, while combined injury boosted STAT1-Y701 phosphorylation. Additionally, radiation increased mRNA abundance of IFNγR1, IFNγR2, heparanase and IL-10, while combined injury tended to increase heparanase mRNA levels and reduced IL-4 mRNA levels. Both injuries increased the abundance of HO-1 protein, indicating oxidative stress, but radiation alone also reduced MnSOD and catalase proteins. Both injuries promoted AKT1-S473 phosphorylation and diminished p53 protein levels, suggesting inhibition of apoptosis. In summary, despite the distinct activation of inflammatory and oxidative stress pathways, both radiation alone and combined injury activated protective mechanisms such as HO-1 and AKT1, offering insights into molecular events before manifesting renal dysfunction.
Interference to Signalling Caused by Rolling Stock: Uncertainty and Variability on a Test Case
Authors: Bhagat Sahil , Mariscotti Andrea
Published: June 2024

The demonstration of compliance of rolling stock against disturbance limits for railway signaling, and in particular track circuits, is subject to a large deal of variability, caused by the diverse values of the electrical parameters of the railway line and resulting transfer functions, as well as operating conditions of rolling stock during tests. Instrumental uncertainty is evaluated with a Type B approach and shown to be much less than the experimental variability. Repeated test runs in acceleration, coasting, cruising, braking conditions are considered, deriving both max-hold (spread) and sample dispersion curves compared to the respective mean values (Type A approach to the evaluation of uncertainty). The major source of variability affecting a significant portion of the spectrum is caused by the superposed oscillations of the onboard LC filter, for which different choices of the transformation window duration are discussed. The test runs and the acquired data covered overall 1 day of tests along about 300 km of the Italian 3 kV DC railway network.
Establishment of a Highly-sensitive Anti-EphB2 Monoclonal Antibody Eb2Mab-3 for Flow Cytometry
Authors: Ubukata Rena , Suzuki Hiroyuki , Hirose Miu , Satofuka Hiroyuki , Tanaka Tomohiro , Kaneko Mika K. , Kato Yukinari
Published: June 2024

EphB2 is a member of the Eph family tyrosine kinase receptors. EphB2 binds to ephrin-B1, ephrin-B2, and ephrin-B3, which are critical regulators of vascular and nervous development through controlling cell migration and axon guidance. EphB2 is overexpressed in tumors, including glioma, breast cancer, hepatocellular carcinoma, and malignant mesothelioma, and it functions as a tumor promoter. Therefore, the development of monoclonal antibodies (mAbs) against EphB2 is essential for tumor diagnosis and therapy for EphB2-positive tumors. In this study, we developed novel mAbs for human EphB2 using the Cell-Based Immunization and Screening (CBIS) method. One of the established anti-EphB2 mAbs, Eb2Mab-3 (mouse IgG1, kappa), reacted with EphB2-overexpressed Chinese hamster ovary-K1 (CHO/EphB2) and an endogenously EphB2-expressing cancer cell line (LS174T) by flow cytometry. Using flow cytometry, the dissociation constant (KD) values of Eb2Mab-3 for CHO/EphB2 and LS174T were determined as 1.1 × 10−9 M and 3.6 × 10−10 M, respectively. These results indicated that Eb2Mab-3 possesses a high affinity for detecting EphB2 and could apply to tumor therapy.
Energy Management System for an Industrial Microgrid using Optimization Algorithms based Reinforcement Learning Technique
Authors: Upadhyay Saugat , Ahmed Ibrahim , Mihet-Popa Lucian
Published: June 2024

The climate crisis necessitates a global shift to achieve a secure, sustainable, and affordable energy system toward a green energy transition reaching climate neutrality by 2050. Because of this, renewable energy sources have come to the forefront and the research interest in microgrids which rely on distributed generation and storage systems has exploded. Furthermore, many new markets for energy trading, ancillary services, and frequency reserve markets have provided attractive investment opportunities in exchange for balancing the supply and demand of electricity. Artificial intelligence can be utilized to locally optimize energy consumption, trade energy with the main grid, and participate in these markets. Reinforcement learning (RL) is one of the most promising approaches to achieve this goal because it enables an agent to learn optimal behavior in a microgrid by executing specific actions that maximize the long-term reward signal/function. The study focuses on testing two optimization algorithms: logic-based optimization and reinforcement learning. This paper proposes an optimization algorithm based on reinforcement learning in an industrial microgrid that is capable of trading energy with the main grid, providing significant cost savings. The RL-based approach is implemented in Python based on real data from the site and in combination with MATLAB-Simulink to validate its results. The application of the RL algorithm achieved an average monthly cost saving of 20% compared to logic-based optimization and 86% savings compared to not using any optimization. These findings contribute to digitalization and decarbonization of energy technology and support fundamental goals and policies of the European Green Deal.
Trans-Catena-Poly[[(Bis-(μ-N,N’-Bis[(Pyridin-3-yl)Methyl]Ethanediamide))-Diaqua-Cadmium(II)] Bis(Nitrate) Tetrahydrate)]
Authors: Caria Anna , Podda Enrico , Aragoni Carla , Lai Riccardo , Pintus Anna , Arca Massimiliano
Published: June 2024

The reaction between cadmium nitrate tetrahydrate and N,N'-bis(pyridin-3-ylmethyl)oxalamide (L) in 1:3 molar ratio in water/acetonitrile (1:6 v/v) mixture afforded single crystals of compound 1 suitable for X-ray diffraction analysis. Compound 1 consists of the coordination polymer (CP) [[Cd(L)2(H2O)2](NO3)2·4H2O]∞, in which CdII ions are bridged by the neutral L antiperiplanar N-ligands in a wavy ribbon fashion developing along the c-axis. Two trans-disposed water molecules complete the pseudo-octahedral coordination geometry of the metal ion. The crystal packing of 1 revealed the interplay between π-π stacking interactions and an intricate hydrogen-bonded network involving oxalamides, nitrates and water molecules. The donor properties of L and the intermolecular interactions in compound 1 are interpreted based on hybrid-DFT calculations.
Insights Into Peptidyl-Prolyl Cis-Trans Isomerases From Clinically Important Protozoans: From Structure to Potential Biotechnological Applications
Authors: Aranda-Chan Verónica , Cárdenas-Guerra Rosa Elena , Otero-Peraza Alejandro , Pacindo-Cabrales Esdras Enoc , Flores-Pucheta Claudia Ivonne , Montes-Flores Octavio , Arroyo Rossana , Ortega-López Jaime
Published: June 2024

Peptidyl-prolyl cis/trans isomerases (PPIases) are present in a wide variety of microorganisms, including protozoan parasites such as Trypanosoma cruzi, Trypanosoma brucei, Trichomonas vaginalis, Leishmania major, Leishmania donovani, Plasmodium falciparum, Plasmodium vivax, Entamoeba histolytica, and Giardia intestinalis, all of which cause important neglected diseases. PPIases are classified as cyclophilins, FKBPs, or parvulins and play crucial roles in catalyzing the cis-trans isomerization of the peptide bond preceding a proline residue. This activity assists in correct protein folding. However, the biological structure‒function characterization of PPIases from these protozoan parasites is still incomplete. The recombinant production of these enzymes is highly relevant for this ongoing research. In this review, we explore the structural diversity, functions, recombinant production, and activity and inhibition of protozoan PPIases. We also highlight their potential as biotechnological tools for the in vitro refolding of other recombinant proteins from these parasites. These applications are invaluable for the development of diagnostic and therapeutic tools.
Optimization of division and reconfiguration locations of the medium-voltage power grid based on forecasting the level of load and generation from renewable energy sources
Authors: Sidor Karol , Miller Piotr , Małkowski Robert , Izdebski Michał Przemysław
Published: June 2024

The article discusses issues related to the optimization of the operation of medium voltage networks, focusing on the optimization of network division points and the selection of the optimal network configuration aimed at reducing power and energy losses. The article provides a critical review of selected scientific works from recent years on the issue of network configuration optimization. The developed solution uses non-deterministic network models and statistical and probabilistic approaches. Optimization studies were carried out using heuristic optimization methods and proprietary algorithms for forecasting the load and power generated from renewable energy sources. The solution proposed in the article has many application possibilities. It can be used to optimize the location of network division points (reducing economic costs related to the modernization of network infrastructure) as well as to optimize the reconfiguration process in order to reduce power losses while maintaining voltage criteria.
XAI-based Clinical Decision Support System: A Systematic Review
Authors: Kim SeYoung , Kim DaeHo , Kim MinJi , Ko HyoJin , Jeong OkRan
Published: June 2024

With increasing electronic medical data and the development of artificial intelligence, Clinical Decision Support Systems (CDSSs) assist clinicians in diagnosis and prescription. Traditional knowledge-based CDSSs follow an accumulated medical knowledgebase and a predefined rule system, which clarifies the decision-making process; however, maintenance cost issues exist in the medical data quality control and standardization process. Non-knowledge-based CDSSs utilize vast amounts of data and algorithms to effectively decide; however, the deep learning black-box problem causes unreliable results. EXplainable Artificial Intelligence (XAI)-based CDSS provides a valid rationale and explainable results. It ensures trustworthiness and transparency by showing the recommendation and prediction results process through explainable techniques. However, existing systems have limitations, such as the scope of data utilization and the lack of explanatory power of AI models. This study proposes a new XAI-based CDSS framework to address these issues; introduce resources, datasets, and models that can be utilized; and provides a foundation model to support decision-making in various disease domains. Finally, we propose future directions for CDSS technology and highlight societal issues that need to be addressed to emphasize the potential of CDSS in the future.
Hormonal Replacement Therapy Reduces the Severity of Climacteric Symptoms among BRCA Mutation Carriers Who Have Surgical Menopause While Mindfulness-Based Stress Reduction May Evoke Adverse Effects
Authors: Ali Amira M. , Al-Dossary Saeed A. , Laranjeira Carlos , Amer Faten , Hallit Souheil , Alkhamees Abdulmajeed A. , Aljubilah Aljawharah  Fahad , Aljaberi Musheer A. , Alzeiby Ebtesam Abdullah , Fadlalmola Hammad Ali , Pakai Annamária , Khatatbeh Haitham
Published: June 2024

Breast Cancer Associated Susceptibility Proteins Type 1/2 (BRCA1/2) promote cellular functioning by modulating NRF2-mediated antioxidant signaling. Redox failure in women with BRCA1/2 insufficiency increases the risk for breast/ovarian/uterine cancers. Risk‐reducing salpingo‐oophorectomy (RRSO) is a prophylactic surgery of the reproductive organs, which is frequently conducted by the age of 40 to lower the occurrence of cancer in women with BRCA1/2 mutations. However, abrupt estrogen decline following RRSO causes ovarian failure, which implicates various cellular physiological processes, resulting in increased release of free radicals and subsequent severe onset of menopausal symptoms. Comfort measures (e.g., hormonal replacement therapy (HRT) and mindfulness-based stress reduction (MBSR)) may improve chronological menopause-related quality of life, but their specific effects are not clear in women with gene mutations. Aiming to fill the gap, this study used path analysis to examine the effects of HRT and MBSR on menopausal symptoms among RRSO patients (N = 199, mean age = 50.5 ± 6.7 years). HRT alleviated menopausal symptoms in BRCA2 carriers and women who were physically active, premenopausal at the time of RRSO, had a high BMI, and had no history of breast cancer. It increased the severity of urogenital symptoms in those with a history of cancer. MBSR, on the other hand, was associated with increased intensity of most menopausal symptoms. The results suggest that young women undergoing recent RRSO may benefit from HRT at an individual level while their need for extensive measures to optimize their psychological wellbeing is ongoing. Adverse effects of MBSR, which are captured in the present study imply that MBSR may interfere with redox sensitivity associated with estradiol fluctuations in BRCA1/2 carriers. Investigations are needed to test this hypothesis and elaborate on the underlying mechanisms in those women.
Experimental Study on the Cutting Characteristics of King Grass Stalk under Different Physical Properties and Mechanical Parameters
Authors: Huan Xiaolong , Pang Hanyue , Li Sibiao , Wang Decheng , You Yong
Published: June 2024

To guide the design and optimization of King Grass (KG) harvesting machinery, this paper studied the cutting characteristics of KG stalks under different physical properties and mechanical parameters. A cutting device that can achieve different parameter adjustments was designed, and indoor cutting experiments were conducted. The results of the single factor experiment show that with the increase of moisture content and stalk height, the ultimate shear stress (USS) and unit-area cutting energy consumption (UCEC) gradually decrease. The optimal range of blade clearance for cutting KG stalks is 2.0-4.0 mm. The optimal value range for oblique cutting angle is 10 ° -40 °. The reasonable range of skew cutting angle is 10 °-20 °. The optimal range for sliding cutting angle is 20 ° - 40 °. The response surface methodology was used to conduct parameter optimization experiments. The regression models were established for various factors and the USS, as well as the UCEC. The optimal combination of cutting parameters has been determined. Under this parameter setting, the USS is 0.4 MPa and UCEC is 3.5 mJ/mm2. The average relative errors between the predicted and experimental values of USS and UCEC were 6.34% and 4.71%, respectively. This indicates that the model can correct reflect the mathematical relationship between various factors and USS and UCEC. This study provides theoretical support for the design of KG harvesting machinery.
Does the Presence of Matted Nodes in Colon Adenocarcinoma Influence 5-Year Overall Survival?
Authors: Rodriguez-López Karla I , Salazar-Castillo Mariana , Lino-Silva Leonardo S. , Galán-Ramírez Angeles , Rivera-Moncada Luisa F , López-Jiménez Emiliano , Zepeda-Najar Cesar
Published: June 2024

Background: Colorectal cancer (CRC) is prevalent globally, constituting 11.9% of cases in Mexico. Lymph node metastases are established prognostic indicators, with extracapsular lymph node extension (ENE) playing a crucial role in modifying prognosis. While ENE is associated with adverse factors, certain aspects, like lymph node conglomerates, are underexplored. Matted nodes, clusters of lymph nodes infiltrated by cancer cells, are recognized as an independent prognostic factor in other cancers. This study investigates the prognostic implications of lymph node conglomerates, particularly matted nodes, in colon cancer. Methods: A retrospective analy-sis of 502 colon cancer cases (2005–2018) identified 255 with lymph node metastasis. Cases were categorized into two groups: 1) lymph node metastasis alone (n=208), and 2) lymph node metas-tasis with matted nodes (n=47). A comparative survival analysis was performed. Results: Of the 255 patients, 38% had lymph node metastasis. Patients with matted nodes (18.4%) showed an association with higher pN stage and lymphovascular invasion. The 5-year survival rate for pa-tients with matted nodes was 47.7%, compared to 60% without; however, this association demonstrated only a statistical tendency. Multivariate analysis identified clinical stage and ad-juvant chemotherapy use as independent factors contributing to survival. Conclusion: This study underscores matted nodes as potential prognostic indicators in colon cancer, emphasizing their association with higher pN stage and reduced survival. Further research is essential for validat-ing these findings and integrating matted nodes into the broader context of colorectal cancer management.
Development of Ex Vivo Analysis for Examining Cell Composition, Immunological Landscape, Tumor and Immune Related Markers in Non-small Cell Lung Cancer
Authors: Ufimtseva Elena G. , Gileva Margarita S. , Kostenko Ruslan V. , Kozlov Vadim V. , Gulyaeva Lyudmila F.
Published: June 2024

NSCLC is a very aggressive solid tumor, with a poor prognosis due to post-surgical recurrence. Analysis of the specific tumor and immune signatures of NSCLC samples is a critical step in prognostic evaluation and management decisions for patients after surgery. Routine histological assay has some limitations. Therefore, new diagnostic tools with the capability to quickly recognize NSCLC subtypes and correctly identify various markers are needed. We developed a technique for ex vivo expansion of cancer and immune cells from surgical tumor and lung tissue samples of patients with NSCLC (adenocarcinomas and squamous cell carcinomas) and their examination on ex vivo cell preparations and, parallelly, on histological sections after Romanovsky–Giemsa and immunofluorescent/immunochemical staining for cancer-specific and immune-related markers. As a result, PD-L1 expression was detected for some patients only by ex vivo analysis. Immune cell profiling in the tumor microenvironment revealed significant differences in the immunological landscapes between the patients’ tumors, with smokers’ macrophages with simultaneous expression of pro- and anti-inflammatory cytokines, neutrophils, and eosinophils being the dominant populations. The proposed ex vivo analysis may be used as an additional diagnostic tool for quick examining cancer and immune cells in whole tumor samples and avoiding false negatives in histological assays.
Development of a Script to Calculate MW Link Budget Using Tkinter in Python
Authors: Zarkadas Konstantinos , Smyrnaios Apollon , Dimitrakopoulos George
Published: June 2024

It is well-known that simulation tools are essential for the design and optimization of wireless communication systems. In this paper proposes a python script that can be used for planning and predicting a connection link budget by analyzing its basic parameters. Our proposal consists of an application that calculates the connection budget for point-to-point links operating at 5 GHz, taking into account all the necessary microwave parameters. For validating the efficiency of the proposed tool, the paper presents comprehensive simulation results derived from comparing our tool to a couple of other simulation tools by means of calculating the same parameters.
Crop Growth Analysis Using Automatic Annotations and Transfer Learning in Multi-date Aerial Images and Orthomosaics
Authors: Rana Shubham , Gerbino Salvatore , Akbari Sekehravani Ehsan , Russo Mario Brandon , Carillo Petronia
Published: June 2024

Growth monitoring of crops is a crucial aspect of precision agriculture, essential for optimal yield prediction and resource allocation. Traditional crop growth monitoring methods are labor-intensive and prone to errors. This study introduces an automated segmentation pipeline utilizing multi-date aerial images and orthomosaics to monitor the growth of cauliflower crops (Brassica Oleracea var. Botrytis). The methodology employs YOLOv8, Grounding DINO, and the Segment Anything Model (SAM) for automatic annotation and segmentation. The YOLOv8 model was trained using initial datasets, which then facilitated the training of the Grounded SAM framework. This approach generated automatic annotations and segmentation masks, classifying crop rows for temporal monitoring and growth estimation. The study's findings highlight the efficiency of this automated system in providing accurate crop growth analysis, promoting informed decision-making in crop management and sustainable agricultural practices. Results indicate consistent and comparable growth patterns between aerial images and orthomosaics, with significant periods of rapid expansion and minor fluctuations over time. The integration of these advanced techniques demonstrates the potential for enhancing precision agriculture through reduced labor and increased accuracy in crop growth monitoring.
Inter-Limb Asymmetry in Female Sepak Takraw Players: An Observational Study
Authors: Zayar Htet , Mawhinney Christopher , Chaijenkij Kornkit
Published: June 2024

This study investigated the magnitude and direction of inter-limb asymmetry in 21 professional female sepak takraw players across several task-specific tests. Five inter-limb asymmetry assessments were employed: unilateral countermovement jump (Uni-CMJ), bilateral countermovement jump (Bi-CMJ), single leg hop (SLH), triple hop test (THOP), and isokinetic concentric peak torque of the knee flexors and extensors at 60 deg/sec-1, 120 deg/sec-1 and 180 deg/sec-1 angular velocities. A “true” inter-limb asymmetry was only observed for Uni-CMJ jump height (16.62%) and THOP distance (6.09%). Kappa coefficients demonstrated fair agreement in the direction of asymmetry between the Uni-CMJ and Bi-CMJ tests for jump height (Kappa = 26.67), but only slight agreement for peak force (Kappa = 0.11), propulsive impulse (Kappa = -0.12) and eccentric impulse (Kappa = -0.14), respectively. Fair agreement was observed between the SLH and THOP (Kappa = 0.32). Slight to moderate agreement was found for concentric peak torque across angular velocities for the knee extensors (Kappa = 0.08 to 0.48) while fair to nearly perfect agreement was noted for the knee flexors (Kappa = 0.31 to 1). The Uni-CMJ and THOP are most sensitive to detect between-limb asymmetries in female sepak takraw players. However, given the inconsistency in asymmetry direction across tests, monitoring asymmetry direction is crucial for conditioning.
Application of Machine Learning to Predict I-V Characteristics of PV Modules Based on Steady-State Solar Simulator
Authors: Porowski Rafał , Kowalik Robert , Gorzelnik Tomasz , Styś-Maniara Marta , Szeląg Bartosz , Komendołowicz Diana , Białek Anita , Ludynia Agata , Piłat-Rożek Magdalena , Łazuka Ewa , Stanzani Erica
Published: June 2024

Photovoltaic modules should pass series of tests and examinations, verifying the electrical and thermal characteristics of the module, before being released to the market, examining the properties of the modules should undergo appropriate durability and efficiency tests under real outdoor conditions with exposure to climatic conditions and under laboratory conditions. The performance of photovoltaic cells depends on many factors, such as solar irradiance, module operating temperature, installation location, weather conditions and module shading. In this paper, three selected photovoltaic modules were examined using a large-scale steady-state solar simulator. The current-voltage (I-V) characteristics of the photovoltaic modules were experimentally tested and analyzed. The next step was to implement a three-layer artificial neural network model (MLP). The experimental data obtained in the previous step coupled with output data from MLP were then used in global sensitivity analysis (GSA). Experiments carried out on a large-scale stationary solar simulator showed differences between the values declared by the manufacturer and the values obtained from measurements of PV modules. The first module tested achieved the maximum power point greater than that specified by the manufacturer, while the other two showed power drops; it was 85-87% for the second module, and 95-98% for the third, respectively. The performed global sensitivity analysis (GSA) for the MLP model showed that the parameters: eff (22.9) and Voc/V (14.19) have the largest effect on the power-voltage relationship, while U (7.29) has the smallest effect. The usefulness of machine learning (ML) methods in the comparative analysis of PV modules has been proved.
Comparative Analysis of p16 and p53 Expression Rates Ac-cording to Positivity of Human Papillomavirus in Head and Neck Cutaneous Squamous Cell Carcinoma
Authors: Nam Ha Jong , Ryu Hyeong Rae , Lee Da Woon , Byeon Je Yeon , Kim Jun Hyuk , Lee Ji-Hye , Lim Soomin , Choi Hwan Jun
Published: June 2024

The high prevalence of human papillomavirus (HPV) infection in oropharyngeal squamous cell carcinoma (OPSCC) is well-established, with p16 expression being a strong predictor. HPV-related tumors exhibit unique mechanisms targeting p16 and p53 proteins. However, re-search on HPV prevalence and the combined predictive value of p16 and p53 expression in head and neck cutaneous squamous cell carcinomas (HNCSCC), especially in Asian populations, is limited. This retrospective study surveyed 62 HNCSCC patients (2011–2020), excluding those with facial warts or other skin cancers. All patients underwent wide excision and biopsy. Immuno-histochemical staining for HPV, p16, and p53 yielded both positive and negative results. The relevance of each marker was investigated by categorizing the tumor locations into high-risk (Area H) and mid-risk (Area M) zones based on recurrence frequency. Of the 62 patients, 20 (32.26%) were male, with an average age of 82.27 years (26–103). Area H included 19 cases (30.65%), with the eyelid and lip being the most common sites (five cases, 8.06%). Area M in-cluded 43 cases (69.35%), with the cheek being the most common site (29 cases, 46.77%). p16 ex-pression was positive in 24 patients (38.71%), p53 expression in 42 patients (72.58%), and HPV in five patients (8.06%). No significant association was found between p16 expression and HPV presence (p > 0.99), with a positive predictive value of 8.33%. This indicates that p16, a surrogate marker of HPV in OPSCC, is not a reliable marker for HPV in HNCSCC. This study enhances our understanding of the relationship between HPV, p53, and p16 in HNCSCC in Asian populations and offers valuable insights for further research.
Preventive Functions of Hemp-Derived Biomaterials Against Periodontal Deterioration Caused by Fine Dust
Authors: Kim Eunhee , Park Yoonjin , Yun Mihae , Kim Boyong
Published: June 2024

Although fine dust can cause various disorders, including cardiovascular, neurological, renal, reproductive, motor, systemic, respiratory, and cancerous diseases, there are not enough research for an oral disease. In this study we used various methods, including quantitative PCR, flow cytometry, immunocytochemistry, ELISA, and Alizarin O staining, to reveal the preventive effects of hemp-derived biomaterials in periodontal cells against fine dust. In this study, the two biomaterials (MSE; mature hemp stem extract and IE; induced exosomes derived from gingival cells exposed to MSE) revealed three main biological functions against fine dust. First, two materials suppressed the levels of inflammatory genes and activated anti-inflammatory genes in gingival cells. Second, these materials activated differentiation to osteoblast, periodontal ligament cells (PDLCs) and pulp progenitor cells (PPCs) from periodontal ligament stem cells (PDLSCs). Third, IE and MSE activated upregulation of LL-37 and down-regulation of MCP-1 in gingival cells and PDLSCs, respectively. Consequently, MSE and IE showed potential as a functional biomaterial in various fields, including pharmaceuticals, cosmetics, and foods.
Comparative Analysis of Mixed Reality and PowerPoint in Education: Tailoring Learning Approaches to Cognitive Profiles
Authors: Petruse Radu Emanuil , Grecu Valentin , Chiliban Marius-Bogdan , Tâlvan Elena-Teodora
Published: June 2024

The term immersive technology refers to various types of technologies and perspectives that are constantly changing and developing. It can be used for different purposes and domains such as: education, healthcare, entertainment, arts, and engineering. This research paper aims to examine which training method is more effective between the traditional approach, using PowerPoint and the immersive technology approach, through mixed reality using a HoloLens 2 device. The experiment involves comparing two groups of students who received different training methods: the first group saw a PowerPoint slide with an image of the human muscular system, while the second group saw a 3D hologram of the human body that showed the same muscle groups as in PowerPoint. The researchers wanted to test whether mixed reality devices could enhance students' cognitive functions and to investigate if the IQ of the participants had any influence in the effectiveness of the teaching method. The main finding of this study is that the instructions given with mixed reality technology, via the Microsoft HoloLens 2 device, are more appropriate for participants who have an IQ score below 100 points. For the other participants, with an IQ score above 100 points, the PowerPoint support was more suitable.
Development and Comparative Evaluation of Traditional and Advanced MPPT Algorithms for PV Systems in Partial Shading Conditions
Authors: Sørensen Robert , Mihet-Popa Lucian
Published: June 2024

The optimization of photovoltaic (PV) systems is vital for enhancing efficiency and economic viability, especially under Partial Shading Conditions (PSCs). This study focuses on the development and comparison of traditional and advanced algorithms, including Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic Control (FLC), Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), and Artificial Neural Networks (ANN), for efficient Maximum Power Point Tracking (MPPT). Simulations conducted in MATLAB/SIMULINK evaluated these algorithms’ performance under various shading scenarios. The results indicate that while traditional methods like P&O and IC are effective under uniform conditions, advanced techniques, particularly ANN-based MPPT, exhibit superior efficiency and faster convergence under PSCs. The study concludes that integrating AI and ML into MPPT algorithms significantly enhances the reliability and efficiency of PV systems, paving the way for broader adoption of solar energy technologies in diverse environmental conditions. These findings contribute to advancing renewable energy technology and support the green energy transition.
PENGARUH PRAKTIK KERJA INDUSTRI DAN EFIKASI DIRI TERHADAP KESIAPAN KERJA SISWA DI SMK NEGERI 3 SURAKARTA
Authors: Nugroho Muhammad Rizky Adi , Murtini Wiedy , Subarno Anton
Published: June 2024

This study aims to determine: 1) the effect of internship on students work readiness of grade XII Automation and Office Administration Department at Vocational High School 3 Surakarta academic year 2019/2020; 2) the effect of self-efficacy on students work readiness of grade XII Automation and Office Administration Department at Vocational High School 3 Surakarta academic year 2019/2020; 3) the effect of internship and Self-Efficacy on students work readiness of grade XII Automation and Office Administration Department at Vocational High School 3 Surakarta academic year 2019/2020.

This study is quantitative approach with correlational method. The population of this study was all students of grade XII Automation and Office Administration Department at Vocational High School 3 Surakarta academic year 2019/2020 which amounted 108 students. The sampling technique used simple random sampling with 85 students as the sample. The technique of collecting data used questionnaire. The analysis in this study used a multiple regression.
The result of this research shows that: 1) there is a significant and positive effect of internship on students work readiness (tcount 2,98, sign <  0,05); 2) there is a significant and positive effect of self-efficacy on students work readiness (tcount 3,74, sign < 0,05); 3) there is a significant and positive effect of internship and self-efficacy on students work readiness (Fcount 19,21, sign < 0,05); 4) Regression equation of this study is Ŷ = 15,24 + 0,18X1 + 0,32X1. R square shows 0,31, it means that contribution of internship and self-efficacy is 31%. All the findings support the proposed hypothesis.
PERAN HUMAS DALAM MEMBANGUN CITRA POSITIF SMK BATIK 2 SURAKARTA
Authors: Putri Leony Arum Dwi , Sulistyaningrum I C. Dyah , Susantiningrum Susantiningrum
Published: June 2024

The research aimed to find out: (1) How the role of public relations in building a positive image in SMK Batik 2 Surakarta. (2) Knowing the obstacles experienced by public relations in building a positive image at SMK Batik 2 Surakarta. (3) Knowing the public relations efforts to overcome obstacles in building a positive image at SMK Batik 2 Surakarta.

This research is a qualitative research. The research data is collected from following sources: research participant, event, documents, and archives. The sampling technique used was purposive sampling. The techniques of data collection are interview, observation, and documentation. To check the validity of the data, the researcher uses source triangulation and method triangulation. Meanwhile the data is analysed based on the interactive analysis model

The results of the study show: (1) that the implementation of the roles of public relations to build the school image of SMK Batik 2 Surakarta includes the roles of communicator, relationship maker, backup management, and corporate image maker. (2) The obstacles of public relations are public relations didn’t master the technique of conveying information or promotion. (3) The efforts to overcome obstacles is making an agenda for each public relations committee so that committee can carry out their duties properly as a public relations officer dan teacher.
PENERAPAN ELECTRONIC HUMAN RESOURCE MANAGEMENT (eHRM) DI BAGIAN TATA USAHA BALAI BESAR WILAYAH SUNGAI BENGAWAN SOLO
Authors: Nurhayati Emi , Sawiji Hery , Ninghardjanti Patni
Published: June 2024

The objectives of the research are to know: (1) implementation of Electronic Human Resources Management (eHRM) in the the administration department of Bengawan Solo River Area Central Center. (2) faced obstacle in the implementation of eHRM in the administration department of Bengawan Solo River Area Central Center. (3) efforts to solve the obstacle in the implementation of eHRM in the administration department of Bengawan Solo River Area Central Center. The research used to qualitative research method. The sources of data were informants, events and places, and documents. The technique of collecting data used observation, interview, and document analysis. The technique of validiting data used source and method triangulation. The data were analyzed by interactive model. The results of the research showed that: (1) implementation eHRM information system give convenience to manage and access personnel information, give time and cost efficiency, and guarantee the transparency in every personnel process. (2) the obstacle in implementing eHRM is technical constraint in server which manage centrally and the limitation of human resources ability in eHRM operation. (3) the effort to solve the obstacle in eHRM implementation is coordination among verificator 1, verificator 2, verificator 3 and accompaniment for personnel had obstacle in eHRM operation.