bluuebunny/crossref_metadata_2025 huggingface dataset:
Intraoperative Laparoscopic Hyperspectral Imaging during Esophagectomy—A Pilot Study Evaluating Esophagogastric Perfusion at the Anastomotic Sites
Authors: Ilgen Annalena , Köhler Hannes , Pfahl Annekatrin , Stelzner Sigmar , Mehdorn Matthias , Jansen-Winkeln Boris , Gockel Ines , Moulla Yusef
Published: January 2024

Hyperspectral imaging (HSI) is a non-invasive and contactless technique that enables the real-time acquisition of comprehensive information on tissue within the surgical field. In this pilot study, we investigated whether a new HSI system for minimally-invasive surgery, TIVITA® Mini (HSI-MIS), provides reliable insights into tissue perfusion of the proximal and distal esophagogastric anastomotic sites during 21 laparoscopic/thoracoscopic or robotic Ivor Lewis esophagectomies of patients with cancer to minimize the risk of dreaded anastomotic insufficiency. In this pioneering investigation, physiological tissue parameters were derived from HSI measurements of the proximal site of the anastomosis (esophageal stump) and the distal site of the anastomosis (tip of the gastric conduit) during the thoracic phase of the procedure. Tissue oxygenation (StO2), Near Infrared Perfusion Index (NIR-PI), and Tissue Water Index (TWI) showed similar median values at both anastomotic sites. Significant differences were observed only for NIR-PI (median: 76.5 vs. 63.9; p = 0.012) at the distal site (gastric conduit) compared to our previous study using an HSI system for open surgery. For all 21 patients, reliable and informative measurements were attainable, confirming the feasibility of HSI-MIS to assess anastomotic viability. Further studies on the added benefit of this new technique aiming to reduce anastomotic insufficiency are warranted.
Harnessing Nanotechnology: Emerging Strategies for Multiple Myeloma Therapy
Authors: Yang Min , Chen Yu , Zhu Li , You Liangshun , Tong Hongyan , Meng Haitao , Sheng Jianpeng , Jin Jie
Published: January 2024

Advances in nanotechnology have provided novel avenues for the diagnosis and treatment of multiple myeloma (MM), a hematological malignancy characterized by the clonal proliferation of plasma cells in the bone marrow. This review elucidates the potential of nanotechnology to revolutionize myeloma therapy, focusing on nanoparticle-based drug delivery systems, nanoscale imaging techniques, and nano-immunotherapy. Nanoparticle-based drug delivery systems offer enhanced drug targeting, reduced systemic toxicity, and improved therapeutic efficacy. We discuss the latest developments in nanocarriers, such as liposomes, polymeric nanoparticles, and inorganic nanoparticles, used for the delivery of chemotherapeutic agents, siRNA, and miRNA in MM treatment. We delve into nanoscale imaging techniques which provide spatial multi-omic data, offering a holistic view of the tumor microenvironment. This spatial resolution can help decipher the complex interplay between cancer cells and their surrounding environment, facilitating the development of highly targeted therapies. Lastly, we explore the burgeoning field of nano-immunotherapy, which employs nanoparticles to modulate the immune system for myeloma treatment. Specifically, we consider how nanoparticles can be used to deliver tumor antigens to antigen-presenting cells, thus enhancing the body’s immune response against myeloma cells. In conclusion, nanotechnology holds great promise for improving the prognosis and quality of life of MM patients. However, several challenges remain, including the need for further preclinical and clinical trials to assess the safety and efficacy of these emerging strategies. Future research should also focus on developing personalized nanomedicine approaches, which could tailor treatments to individual patients based on their genetic and molecular profiles.
Kupffer Cell Inactivation Alters Endothelial Cell Adhesion Molecules in Cecal Ligation and Puncture-Induced Sepsis
Authors: Manandhar Sumeet , Gaddam Ravinder Reddy , Chambers Stephen , Bhatia Madhav
Published: January 2024

The activation of Kupffer cells, resident macrophages in the liver, is closely associated with the inflammatory response during sepsis, which leads to multiple-organ failure. However, how Kupffer cell activation affects adhesion molecules (ICAM-1 and VCAM-1) in sepsis has not been determined. This study investigated Kupffer cell inactivation’s (by gadolinium chloride; GdCl3) effects on adhesion molecule expression in CLP-induced sepsis. The induction of sepsis resulted in increased expression of liver and lung ICAM-1 and VCAM-1. GdCl3 pretreatment significantly decreased liver ICAM-1 expression but had no effect on VCAM-1 expression. In contrast, GdCl3 pretreatment had no effect on sepsis-induced increased adhesion molecule expression in the lungs. Similarly, the immunoreactivity of ICAM-1 was decreased in liver sinusoidal endothelial cells but increased in pulmonary endothelial cells in septic mice pretreated with GdCl3. Further, GdCl3 pretreatment had no effect on the immunoreactivity of VCAM-1 in endothelial cells of the liver and lungs. Hence, the findings of this study demonstrate the differential effects of Kupffer cell inactivation on liver and lung adhesion molecules and suggest the complexity of their involvement in the pathophysiology of sepsis.
Levodopa Rescues Retinal Function in the Transgenic A53T Alpha-Synuclein Model of Parkinson’s Disease
Authors: Tran Katie K. N. , Wong Vickie H. Y. , Vessey Kirstan A. , Finkelstein David I. , Bui Bang V. , Nguyen Christine T. O.
Published: January 2024

Background: Loss of substantia nigra dopaminergic cells and alpha-synuclein (α-syn)-rich intraneuronal deposits within the central nervous system are key hallmarks of Parkinson’s disease (PD). Levodopa (L-DOPA) is the current gold-standard treatment for PD. This study aimed to evaluate in vivo retinal changes in a transgenic PD model of α-syn overexpression and the effect of acute levodopa (L-DOPA) treatment. Methods: Anaesthetised 6-month-old mice expressing human A53T alpha-synuclein (HOM) and wildtype (WT) control littermates were intraperitoneally given 20 mg/kg L-DOPA (50 mg levodopa, 2.5 mg benserazide) or vehicle saline (n = 11–18 per group). In vivo retinal function (dark-adapted full-field ERG) and structure (optical coherence tomography, OCT) were recorded before and after drug treatment for 30 min. Ex vivo immunohistochemistry (IHC) on flat-mounted retina was conducted to assess tyrosine hydroxylase (TH) positive cell counts (n = 7–8 per group). Results: We found that photoreceptor (a-wave) and bipolar cell (b-wave) ERG responses (p < 0.01) in A53T HOM mice treated with L-DOPA grew in amplitude more (47 ± 9%) than WT mice (16 ± 9%) treated with L-DOPA, which was similar to the vehicle group (A53T HOM 25 ± 9%; WT 19 ± 7%). While outer retinal thinning (outer nuclear layer, ONL, and outer plexiform layer, OPL) was confirmed in A53T HOM mice (p < 0.01), L-DOPA did not have an ameliorative effect on retinal layer thickness. These findings were observed in the absence of changes to the number of TH-positive amacrine cells across experiment groups. Acute L-DOPA treatment transiently improves visual dysfunction caused by abnormal alpha-synuclein accumulation. Conclusions: These findings deepen our understanding of dopamine and alpha-synuclein interactions in the retina and provide a high-throughput preclinical framework, primed for translation, through which novel therapeutic compounds can be objectively screened and assessed for fast-tracking PD drug discovery.
Early Diagnosis of Fibromyalgia Using Surface-Enhanced Raman Spectroscopy Combined with Chemometrics
Authors: Bao Haona , Hackshaw Kevin V. , Castellvi Silvia de Lamo , Wu Yalan , Gonzalez Celeste Matos , Nuguri Shreya Madhav , Yao Siyu , Goetzman Chelsea M. , Schultz Zachary D. , Yu Lianbo , Aziz Rija , Osuna-Diaz Michelle M. , Sebastian Katherine R. , Giusti Monica M. , Rodriguez-Saona Luis
Published: January 2024

Fibromyalgia (FM) is a chronic muscle pain disorder that shares several clinical features with other related rheumatologic disorders. This study investigates the feasibility of using surface-enhanced Raman spectroscopy (SERS) with gold nanoparticles (AuNPs) as a fingerprinting approach to diagnose FM and other rheumatic diseases such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), osteoarthritis (OA), and chronic low back pain (CLBP). Blood samples were obtained on protein saver cards from FM (n = 83), non-FM (n = 54), and healthy (NC, n = 9) subjects. A semi-permeable membrane filtration method was used to obtain low-molecular-weight fraction (LMF) serum of the blood samples. SERS measurement conditions were standardized to enhance the LMF signal. An OPLS-DA algorithm created using the spectral region 750 to 1720 cm−1 enabled the classification of the spectra into their corresponding FM and non-FM classes (Rcv > 0.99) with 100% accuracy, sensitivity, and specificity. The OPLS-DA regression plot indicated that spectral regions associated with amino acids were responsible for discrimination patterns and can be potentially used as spectral biomarkers to differentiate FM and other rheumatic diseases. This exploratory work suggests that the AuNP SERS method in combination with OPLS-DA analysis has great potential for the label-free diagnosis of FM.
The Predictive Value of 8-Hydroxy-Deoxyguanosine (8-OHdG) Serum Concentrations in Irradiated Non-Small Cell Lung Carcinoma (NSCLC) Patients
Authors: Orfanakos Kyriakos , Alifieris Constantinos E. , Verigos Emmanouil K. , Deligiorgi Maria V. , Verigos Kosmas E. , Panayiotidis Mihalis I. , Nikolaou Michail , Trafalis Dimitrios T.
Published: January 2024

Ionizing radiation is strongly linked to direct or indirect DNA damage, as with the production of reactive oxygen species (ROS), which in turn produce DNA damage products, such as 8-hydroxy-2-deoxyguanosine (8-OHdG). In this study, we aimed to investigate the formation of 8-OHdG after irradiation in patients with non-small cell cancer (NSCLC) and its use as a biomarker. Sixteen patients with squamous and thirty-six patients with non-squamous pathology were included. An enzyme-linked-immunosorbent assay (ELISA) was performed before and after radiation. A dose-dependent relationship was confirmed: 8-OHdG plasma concentrations, increased in the total of NSCLC patients and specifically with a linear correlation in non-squamous pathology; in squamous histology, after an initial increase, a significant decrease followed after 20 Gy dose of irradiation. The pretreatment total irradiated tumor volume (cm3) was positively correlated with 8-OHdG levels in patients with squamous histology. When plotting the 8-OHdG plasma concentration at a 10 Gy irradiation dose to the baseline, the AUC was 0.873 (95% CI 0.614–0.984), p < 0.0001, with an associated criterion value of >1378 as a cutoff (sensitivity 72.7%, specificity 100%). When normalizing this ratio to BSA, the associated criterion cutoff value was >708 (sensitivity of 100%, specificity 80%). Lastly, 8-OHdG levels were closely related with the development of radiation-induced toxicities.
Development of New Models of Oral Mucosa to Investigate the Impact of the Structure of Transmembrane Mucin-1 on the Mucosal Pellicle Formation and Its Physicochemical Properties
Authors: Nivet Clément , Custovic Irma , Avoscan Laure , Bikker Floris J. , Bonnotte Aline , Bourillot Eric , Briand Loïc , Brignot Hélène , Heydel Jean-Marie , Herrmann Noémie , Lelièvre Mélanie , Lesniewska Eric , Neiers Fabrice , Piétrement Olivier , Schwartz Mathieu , Belloir Christine , Canon Francis
Published: January 2024

The mucosal pellicle (MP) is a biological film protecting the oral mucosa. It is composed of bounded salivary proteins and transmembrane mucin MUC1 expressed by oral epithelial cells. Previous research indicates that MUC1 expression enhances the binding of the main salivary protein forming the MP, MUC5B. This study investigated the influence of MUC1 structure on MP formation. A TR146 cell line, which does not express MUC1 natively, was stably transfected with genes coding for three MUC1 isoforms differing in the structure of the two main extracellular domains: the VNTR domain, exhibiting a variable number of tandem repeats, and the SEA domain, maintaining the two bound subunits of MUC1. Semi-quantification of MUC1 using dot blot chemiluminescence showed comparable expression levels in all transfected cell lines. Semi-quantification of MUC5B by immunostaining after incubation with saliva revealed that MUC1 expression significantly increased MUC5B adsorption. Neither the VNTR domain nor the SEA domain was influenced MUC5B anchoring, suggesting the key role of the MUC1 N-terminal domain. AFM-IR nanospectroscopy revealed discernible shifts indicative of changes in the chemical properties at the cell surface due to the expression of the MUC1 isoform. Furthermore, the observed chemical shifts suggest the involvement of hydrophobic effects in the interaction between MUC1 and salivary proteins.
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care
Authors: Lai Tin
Published: January 2024

Recent advancements in artificial intelligence (AI) have facilitated its widespread adoption in primary medical services, addressing the demand–supply imbalance in healthcare. Vision Transformers (ViT) have emerged as state-of-the-art computer vision models, benefiting from self-attention modules. However, compared to traditional machine learning approaches, deep learning models are complex and are often treated as a “black box” that can cause uncertainty regarding how they operate. Explainable artificial intelligence (XAI) refers to methods that explain and interpret machine learning models’ inner workings and how they come to decisions, which is especially important in the medical domain to guide healthcare decision-making processes. This review summarizes recent ViT advancements and interpretative approaches to understanding the decision-making process of ViT, enabling transparency in medical diagnosis applications.
Machine Learning Analysis of Genomic Factors Influencing Hyperbaric Oxygen Therapy in Parkinson’s Disease
Authors: Banou Eirini , Vrahatis Aristidis G. , Krokidis Marios G. , Vlamos Panagiotis
Published: January 2024

(1) Background: Parkinson’s disease (PD) is a progressively worsening neurodegenerative disorder affecting movement, mental well-being, sleep, and pain. While no cure exists, treatments like hyperbaric oxygen therapy (HBOT) offer potential relief. However, the molecular biology perspective, especially when intertwined with machine learning dynamics, remains underexplored. (2) Methods: We employed machine learning techniques to analyze single-cell RNA-seq data from human PD cell samples. This approach aimed to identify pivotal genes associated with PD and understand their relationship with HBOT. (3) Results: Our analysis indicated genes such as MAP2, CAP2, and WSB1, among others, as being crucially linked with Parkinson’s disease (PD) and showed their significant correlation with Hyperbaric oxygen therapy (HBOT) indicatively. This suggests that certain genomic factors might influence the efficacy of HBOT in PD treatment. (4) Conclusions: HBOT presents promising therapeutic potential for Parkinson’s disease, with certain genomic factors playing a pivotal role in its efficacy. Our findings emphasize the need for further machine learning-driven research harnessing diverse omics data to better understand and treat PD.
Blood Pressure Estimation from Photoplythmography Using Hybrid Scattering–LSTM Networks
Authors: Omer Osama A. , Salah Mostafa , Hassan Ammar M. , Abdel-Nasser Mohamed , Sugita Norihiro , Saijo Yoshifumi
Published: January 2024

One of the most significant indicators of heart and cardiovascular health is blood pressure (BP). Blood pressure (BP) has gained great attention in the last decade. Uncontrolled high blood pressure increases the risk of serious health problems, including heart attack and stroke. Recently, machine/deep learning has been leveraged for learning a BP from photoplethysmography (PPG) signals. Hence, continuous BP monitoring can be introduced, based on simple wearable contact sensors or even remotely sensed from a proper camera away from the clinical setup. However, the available training dataset imposes many limitations besides the other difficulties related to the PPG time series as high-dimensional data. This work presents beat-by-beat continuous PPG-based BP monitoring while accounting for the aforementioned limitations. For a better exploration of beats’ features, we propose to use wavelet scattering transform as a better descriptive domain to cope with the limitation of the training dataset and to help the deep learning network accurately learn the relationship between the morphological shapes of PPG beats and the BP. A long short-term memory (LSTM) network is utilized to demonstrate the superiority of the wavelet scattering transform over other domains. The learning scenarios are carried out on a beat basis where the input corresponding PPG beat is used for predicting BP in two scenarios; (1) Beat-by-beat arterial blood pressure (ABP) estimation, and (2) Beat-by-beat estimation of the systolic and diastolic blood pressure values. Different transformations are used to extract the features of the PPG beats in different domains including time, discrete cosine transform (DCT), discrete wavelet transform (DWT), and wavelet scattering transform (WST) domains. The simulation results show that using the WST domain outperforms the other domains in the sense of root mean square error (RMSE) and mean absolute error (MAE) for both of the suggested two scenarios.
Transcranial Direct Current Stimulation for Orthopedic Pain: A Systematic Review with Meta-Analysis
Authors: Adams William , Idnani Sherina , Kim Joosung
Published: January 2024

(1) Background: Transcranial direct current stimulation (tDCS) appears to alleviate chronic pain via a brain-down mechanism. Although several review studies have examined the effects of tDCS on patients with chronic pain, no systematic review or meta-analysis has comprehensively analyzed the effects of tDCS on chronic orthopedic joint pain in one study. We aim to evaluate the effectiveness of tDCS for pain reduction in chronic orthopedic patients; (2) Methods: A comprehensive search of five electronic databases (Medline, Embase, Web of Science, CINAHL, and Cochrane) was performed. Only randomized controlled trials that compared tDCS with a control intervention were included. Eighteen studies met our inclusion criteria. We identified four categories of chronic orthopedic pain: knee (k = 8), lower back (k = 7), shoulder (k = 2), and orofacial pain (k = 1). Random effect models were utilized, and a sensitivity analysis was conducted in the presence of significant heterogeneity. Studies within each pain condition were further classified according to the number of treatment sessions: 1–5 sessions, 6–10 sessions, and >10 sessions.; (3) Results: Significant reductions in chronic orthopedic joint pain were observed following tDCS compared to controls for knee (g = 0.59, p = 0.005), lower back (g = 1.14, p = 0.005), and shoulder (g = 1.17, p = 0.020). Subgroup analyses showed pain reductions after 6–10 tDCS sessions for knee pain and after 1–5 and >10 sessions for lower back pain; (4) Conclusions: tDCS could be considered a potential stand-alone or supplemental therapy for chronic knee and lower back pain. The effectiveness of tDCS treatment varies depending on the number of treatment sessions. Our findings suggest the importance of implementing individualized treatment plans when considering tDCS for chronic pain conditions.
Inflammatory and Hematologic Liver and Platelet (HALP) Scores in Hypothermia-Treated Hypoxic–Ischemic Encephalopathy (HIE)
Authors: Toptan Handan Hakyemez , Tezel Kübra Gökçe , Tezel Oğuzhan , Ataç Ömer , Vardar Gonca , Gülcan Kersin Sinem , Özek Eren
Published: January 2024

Objective: This study examined systemic inflammatory indices and “Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) scores” in neonates with hypoxic–ischemic encephalopathy (HIE). Methods: A total of 43 neonates with moderate-to-severe HIE at 36 weeks’ gestation were assessed. Systemic inflammatory markers were measured before HT commenced within 0–6 h after birth and between 60 and 72 h during and after therapy or before adjusting for hypothermia. Results: Platelet counts, hemoglobin levels, and platelet indices in the HIE group were significantly lower at both time points (p = 0.001). Both the neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) decreased in the HIE group after hypothermia therapy (p = 0.001). Seizures, PVL, and kidney injuries were associated with higher HALP scores. The AUCs of NLR, PLR, MLR, SII, SIRI, and platelet, neutrophil, monocyte, and lymphocyte Index (PIV) showed significant sensitivity and specified HIE, with area under the curve (AUC) values of 0.654, 0.751, 0.766, 0.700, 0.722, and 0.749, respectively. Conclusions: A significant difference in systemic inflammatory markers was found between the HIE and control groups after hypothermia treatment, with significant reductions in the MLR and NLR. These markers, particularly MLR, were significant predictors of adverse clinical outcomes including seizures, PVL, and kidney damage.
The High Seropositivity of Mumps Virus IgG Antibodies among School-Aged Children in Rural Areas of the Mbarali District in the Mbeya Region, Tanzania: It Is High Time for Consideration in the National Immunization Program
Authors: Mirambo Mariam M. , Michael Fausta , Nyawale Helmut , Mbugano Frank , Walwa Maneja B. , Mahamba Dina , Msanga Delfina R. , Okamo Bernard , Damiano Prisca , Mshana Stephen E.
Published: January 2024

Mumps is an acute contagious viral disease caused by paramyxovirus characterized by complications that include orchitis, oophoritis, aseptic meningitis, and spontaneous abortion among many others. This study reports high mumps IgG seropositivity among school-aged children in rural areas of the Mbeya region, information that might be useful in understanding the epidemiology of mumps and instituting appropriate control measures including vaccination. Between May and July 2023, a cross-sectional study involving 196 enrolled children aged 5–13 years was conducted. Sociodemographic information and other relevant information were collected using a structured data collection tool. Blood samples were collected and used to detect mumps immunoglobulin G antibodies using indirect enzyme-linked immunosorbent assay (ELISA). A descriptive analysis was performed using STATA version 15. The median age of the enrolled children was 13 (interquartile range (IQR): 8–13) years. The seropositivity of mumps IgG antibodies was 88.8% (174/196, 95% CI: 83.5–92.5). By multivariable logistic regression analysis, history of fever (OR: 5.36, 95% CI: 1.02–28.22, p = 0.047) and sharing utensils (OR: 8.05, 95% CI: 1.99–32.65, p = 0.003) independently predicted mumps IgG seropositivity. More than three-quarters of school-aged children in rural areas of the Mbeya region are mumps IgG-seropositive, which is significantly associated with the sharing of utensils and history of fever. This suggests that the virus is endemic in this region, which calls for further studies across the country so as to institute evidence-based, appropriate control measures including a vaccination program.
The Associations between the Number of School Sports Teams That a Student Regularly Participates in and Factors Such as Perceived Stress, Loneliness, and Sleep Satisfaction among Korean Adolescents Who Have Attempted Suicide
Authors: Kwon Jeonga , Jang Jusun
Published: January 2024

Adolescents who have attempted suicide are more likely to experience a recurrence of suicidal behavior, thus necessitating systematic follow-ups and management. We aimed to investigate the association between the number of school sports teams that a student regularly participates in and psychological factors such as perceived stress, loneliness, and sleep satisfaction among 1393 Korean adolescents who have attempted suicide by using data from the 2022 Korea Youth Risk Behavior Survey. Frequency analyses were performed to evaluate participant characteristics. Chi-square analyses were used to examine the differences in participant characteristics according to the number of teams. Multivariate logistic regression analysis was used to examine the associations between the number of teams and perceived stress, loneliness, and sleep satisfaction. Our results indicated that participating in a greater number of sports teams at school was more strongly associated with reduced perceived stress, reduced loneliness, and increased sleep satisfaction. Specifically, the odds ratio (OR) for feeling very much stressed was 0.613 (range: 0.387–0.969; p = 0.036) among the participants who belonged to one team. Among those who belonged to two teams, the OR for feeling very much stressed was 0.482 (range: 0.281–0.286; p = 0.008). Among those who belonged to two teams, the OR for feeling a lot of stress was 0.514 (range: 0.304–0.870; p = 0.013), and that for not feeling much stress was 2.663 (range: 1.103–6.426; p = 0.029). The OR for not feeling much stress was 4.697 for those who belonged to three teams (range: 1.531–14.408; p = 0.007) and 6.671 for those who belonged to four or more teams (range: 1.858–23.953; p = 0.004). The OR for feeling no stress at all was 11.629 (range: 2.229–60.661; p = 0.004) for those who belonged to three teams and 93.531 (range: 19.260–454.207; p < 0.001) for those who belonged to four or more teams. In terms of loneliness, the OR for rarely feeling lonely was 2.651 (range: 1.148–6.123; p = 0.022) among those who belonged to one team. The OR for feeling lonely all the time was 0.370 (range: 0.155–0.884; p = 0.025) among those who belonged to two teams. In terms of sleep satisfaction, the OR for having very sufficient sleep was 4.371 (range: 1.627–11.742; p = 0.003) for those who belonged to four or more teams. These results suggest that school sports are an advantageous tool for suicide prevention, given their low costs, absence of side effects, and ease of participation.
Real-World Use of Dalbavancin for Treatment of Soft Tissue and Bone Infection in Children: Safe, Effective and Hospital-Time Sparing
Authors: Caselli Désirée , Mariani Marcello , Colomba Claudia , Ferrecchi Chiara , Cafagno Claudio , Trotta Daniela , Carloni Ines , Dibello Daniela , Castagnola Elio , Aricò Maurizio
Published: January 2024

Acute bacterial skin and skin structure infections (ABSSSI) and osteoarticular infections compound the burden of morbidity, mortality and prolonged hospitalizations among gram-positive infections. Dalbavancin, a second-generation, intravenous lipoglycopeptide, due to its prolonged half-life, can be a valuable alternative in their treatment when administered as inpatient treatment at the price of an extended hospital stay. Between October 2019 and September 2023, 31 children and adolescents were treated with dalbavancin because of bone and joint infections (n = 12 patients, 39%), ABSSSI (n = 13 patients, 42%), mainly for the limbs, facial cellulitis or complicated ABSSSI (n = 6 patients, 19%), at five Italian pediatric centers. Microbiological study provided gram-positive bacterial isolate in 16 cases, in 11 cases from a positive blood culture; 9 of them were MRSA. Twenty-five patients were initially treated with a different antibiotic therapy: beta-lactam-based in 18 patients (58%), glycopeptide-based in 15 patients (48%) and daptomycin in 6 (19%). The median time that elapsed between admission and start of dalbavancin was 18 days. A total of 61 doses of dalbavancin were administered to the 31 patients: 16 received a single dose while the remaining 15 patients received between two (n = 9) and nine doses. The frequency of administration was weekly in five cases or fortnightly in nine patients. Median length of stay in hospital was 16 days. Median time to discharge after the first dose of dalbavancin was 1 day. Treatment was very well-tolerated: of the 61 administered doses, only four doses, administered to four patients, were associated with an adverse event: drug extravasation during intravenous administration occurred in two patients, with no sequelae; however, in two patients the first administration was stopped soon after infusion start: in one (ID #11), due to headache and vomiting; in another (ID #12) due to a systemic reaction. In both patients, drug infusion was not repeated. None of the remaining 29 patients reported treatment failure (resistant or recurrent disease) or an adverse effect during a median follow-up time of two months. The use of dalbavancin was safe, feasible and also effective in shortening the hospital stay in children and adolescents.
Psychometric Properties of the Theory of Mind Task Battery (French Version) in Neurotypical Children and Intellectually Disabled Children
Authors: Nader-Grosbois Nathalie , Simon Poline , Jacobs Emilie , Houssa Marine
Published: January 2024

These studies tested the psychometric properties of the French version of the Theory of Mind (ToM) Task Battery (vf) in typically developing (TD) children and intellectually disabled (ID) children. The Battery was administered to 649 TD children (2 ½ to 12 years old) in Study 1 and 155 ID (4 ½ to 14 ½ years old) in Study 2. Their mothers completed questionnaires: in both studies, the Theory of Mind Inventory (ToMI-1-vf); in Study 1, the Griffith Empathy Measure (GEM-vf) and the Emotion Regulation Checklist (ERC-vf); and in Study 2, the Social Competence and Behavior Evaluation (SCBE-vf). The Battery showed good internal consistency in both groups. Positive links with age and differences between age groups were identified in their performances. Convergent validity was confirmed by positive correlations between TD children’s scores in the Battery and in ToMI1-vf, in empathy, in emotion regulation, and by a negative correlation with emotion dysregulation. In ID children, their scores in the Battery were positively linked with those in ToMI-1-vf, in some scales of SCEB-vf, and had a low level of internalizing problems. This Battery presents good psychometric qualities and could be useful for explicit assessment of ToM in TD and ID children in future research and intervention.
Comparison of Retinal Metabolic Activity and Structural Development between rd10 Mice and Normal Mice Using Multiphoton Fluorescence Lifetime Imaging Microscopy
Authors: Su Erin , Kesavamoorthy Niranjana , Junge Jason A. , Zheng Mengmei , Craft Cheryl Mae , Ameri Hossein
Published: January 2024

Fluorescence lifetime imaging microscopy (FLIM) is a technique that analyzes the metabolic state of tissues based on the spatial distribution of fluorescence lifetimes of certain interacting molecules. We used multiphoton FLIM to study the metabolic state of developing C57BL6/J and rd10 retinas based on the fluorescence lifetimes of free versus bound nicotinamide adenine dinucleotide and nicotinamide adenine dinucleotide phosphate (NAD(P)H), with free NAD(P)H percentages suggesting increased glycolysis and bound NAD(P)H percentages indicating oxidative phosphorylation. The mice were sacrificed and enucleated at various time points throughout their first 3 months of life. The isolated eyecups were fixed, sectioned using a polyacrylamide gel embedding technique, and then analyzed with FLIM. The results suggested that in both C57BL6/J mice and rd10 mice, oxidative phosphorylation initially decreased and then increased, plateauing over time. This trend, however, was accelerated in rd10 mice, with its turning point occurring at p10 versus the p30 turning point in C57BL6/J mice. There was also a noticeable difference in oxidative phosphorylation rates between the outer and inner retinas in both strains, with greater oxidative phosphorylation present in the latter. A greater understanding of rd10 and WT metabolic changes during retinal development may provide deeper insights into retinal degeneration and facilitate the development of future treatments.
Sodium Dodecyl Sulfate Analogs as a Potential Molecular Biology Reagent
Authors: Arakawa Tsutomu , Niikura Takako , Kita Yoshiko , Akuta Teruo
Published: January 2024

In this study, we review the properties of three anionic detergents, sodium dodecyl sulfate (SDS), Sarkosyl, and sodium lauroylglutamate (SLG), as they play a critical role in molecular biology research. SDS is widely used in electrophoresis and cell lysis for proteomics. Sarkosyl and, more frequently, SDS are used for the characterization of neuropathological protein fibrils and the solubilization of proteins. Many amyloid fibrils are resistant to SDS or Sarkosyl to different degrees and, thus, can be readily isolated from detergent-sensitive proteins. SLG is milder than the above two detergents and has been used in the solubilization and refolding of proteins isolated from inclusion bodies. Here, we show that both Sarkosyl and SLG have been used for protein refolding, that the effects of SLG on the native protein structure are weaker for SLG, and that SLG readily dissociates from the native proteins. We propose that SLG may be effective in cell lysis for functional proteomics due to no or weaker binding of SLG to the native proteins.
The Role of Estrogen Signaling and Exercise in Drug Abuse: A Review
Authors: Ahmed Rania , Zyla Samuel , Hammond Nikki , Blum Kenneth , Thanos Panayotis K.
Published: January 2024

Background: Discovering how sex differences impact the efficacy of exercise regimens used for treating drug addiction is becoming increasingly important. Estrogen is a hormone believed to explain a large portion of sex differences observed during drug addiction, and why certain exercise regimens are not equally effective between sexes in treatment. Addiction is currently a global hindrance to millions, many of whom are suffering under the influence of their brain’s intrinsic reward system coupled with external environmental factors. Substance abuse disorders in the U.S. alone cost billions of dollars annually. Review Summary: Studies involving the manipulation of estrogen levels in female rodents, primarily via ovariectomy, highlight its impact regarding drug addiction. More specifically, female rodents with higher estrogen levels during the estrus phase increase cocaine consumption, whereas those in the non-estrus phase (low estrogen levels) decrease cocaine consumption. If estrogen is reintroduced, self-administration increases once again. Exercise has been proven to decrease relapse tendency, but its effect on estrogen levels is not fully understood. Conclusions: Such findings and results discussed in this review suggest that estrogen influences the susceptibility of females to relapse. Therefore, to improve drug-abuse-related treatment, exercise regimens for females should be generated based on key sex differences with respect to males.
Polymer–Zeolite Composites: Synthesis, Characterization and Application
Authors: Mamytbekov Galymzhan Kulamkadyrovich , Zheltov Dmitry Anatol’evich , Milts Olga Sergeevna , Nurtazin Yernat Rashidovich
Published: January 2024

Although the potential of natural minerals for purification of liquid radioactive wastes (LRW) from radionuclides has been widely studied, the use of hybrid polymer composites made of zeolite is still rather scarce. This article reports on the preparation of zeolite-based hybrid polymer composites using the in situ polymerization technique in the body of mineral matrix and its intercalated with copper ferrocyanide (CuFC) forms. This hybrid polymer composites have shown unique and enhanced properties for the removal of micropollutants from wasted water as compared to the individual mineral. The change in conventional properties of two mixed minerals, such as zeolite and bentonite, and their intercalated with CuFC forms were probed using techniques such as scanning electron microscopy (SEM), X-ray diffraction (XRD), Mössbauer spectroscopy (MS) and FT-IR analysis. The totality of analysis showed a coexistence of intercalated and percolated zeolite phases. The hybrid polymer composites exhibited both adsorption and ion-exchange properties in the removal of 134,137Cs+, 57,60Co2+ and 85Sr2+ radionuclides from LRW.
Rainwater Harvesting (RWH) Systems: Is the Conservation of Water in Colombo Urban Areas Worth It?
Authors: Ranasingha Chamika M. , Wattage Premachandra
Published: January 2024

In Sri Lanka, the wet zone of Colombo and other urban areas usually experience urban flooding situations. Furthermore, the urban setting is rapidly changing. The community perceives flood control and water conservation relatively poorly. Rainwater harvesting is a low-impact development (LID) method to control urban flash flood situations. However, considering people’s interest in and awareness of rainwater harvesting (RWH), it was found that RWH is a lost factor in urban conservation. Therefore, using economically attractive choices, this study estimated the trade-off of residents practicing RWH in urban areas affected by high surface water runoff. The study’s selected area was the Thimbirigasyaya Divisional Secretariat Division (DSD) flooding spots, an ideal location to estimate the preferences/trade-offs of individuals regarding rainwater harvesting practices. This estimation was calculated using a choice experiment (CE) method, which is an economic valuation method. Under this method, the conditional logit model was used to analyze people’s preferences. The results showed that people are motivated and prefer to use RWH due to selected attributes in the field survey. This promising result implies that individuals prefer to use the RWH system as a method of stormwater management and water conservation. Moreover, most residents are willing to adopt these systems looking at their monthly water bill reduction and as promoters of green building concepts.
Public Decision Policy for Controlling COVID-19 Outbreaks Using Control System Engineering
Authors: Patiño H. Daniel , Pucheta Julián , Rivero Cristian Rodríguez , Tosetti Santiago
Published: January 2024

This work is a response to the appeal of various international health organizations and the Automatic Control Community for collaboration in addressing Coronavirus/COVID-19 challenges during the initial stages of the pandemic. Specifically, this study presents scientific evidence supporting the efficacy of three primary non-pharmacological strategies for pandemic mitigation. We propose a control system to aid in formulating a public decision policy aimed at managing the spread of COVID-19 caused by the SARS-CoV-2 virus, commonly known as coronavirus. The primary objective is to prevent overwhelming healthcare systems by averting the saturation of intensive care units (ICUs). In the context of COVID-19, understanding the peak infection rate and its time delay is crucial for preparing healthcare infrastructure and ensuring an adequate supply of intensive care units equipped with automatic ventilators. While it is widely recognized that public policies encompassing confinement and social distancing can flatten the epidemiological curve and provide time to bolster healthcare resources, there is a dearth of studies examining this pivotal issue from the perspective of control system theory. In this study, we introduce a control system founded on three prevailing non-pharmacological tools for epidemic and pandemic mitigation: social distancing, confinement, and population-wide testing and isolation in regions experiencing community transmission. Our analysis and control system design rely on the susceptible-exposed–infected–recovered–deceased (SEIRD) mathematical model, which describes the temporal dynamics of a pandemic, tailored in this research to account for the temporal and spatial characteristics of SARS-CoV-2 behavior. This model incorporates the influence of conducting tests with subsequent population isolation. An On–off control strategy is analyzed, and a proportional–integral–derivative (PID) controller is proposed to generate a sequence of public policy decisions. The proposed control system employs the required number of critical beds and ICUs as feedback signals and compares these with the available bed capacity to generate an error signal, which is utilized as input for the PID controller. The control actions outlined involve five phases of “Social Distancing and Confinement” (SD&C) to be implemented by governmental authorities. Consequently, the control system generates a policy sequence for SD&C, with applications occurring on a weekly or biweekly basis. The simulation results underscore the favorable impact of these three mitigation strategies against the coronavirus, illustrating their efficacy in controlling the outbreak and thereby mitigating the risk of healthcare system collapse.
Juvenile-Onset Non-Poikilodermatous CD8+CD56+ Mycosis Fungoides
Authors: Gambichler Thilo , Thiele Andrea , Merz Hartmut , Susok Laura , Boms Stefanie
Published: January 2024

The most frequent primary cutaneous lymphomas observed in childhood and adolescence are mycosis fungoides (MF) and CD30-positive lymphoproliferative diseases. We report a 22-year-old female who presented with a 6-year history of multiple well-demarcated large roundish-oval scaly and reddish-brownish patches and plaques on the trunk and extremities. Histopathology revealed the focal parakeratosis and prominent epidermotropism of atypical lymphocytes, which were positive for CD8, CD56, and TIA-1 and showed a loss of CD7 and CD5 expression. T-cell receptor (TCR) gene rearrangement analysis (multiplex-PCR, BIOMED-2) of the lesional skin demonstrated the rearrangement of the gamma chain (tube A: 162 nt). Based on clinicopathological findings and a complete work-up, she was diagnosed with juvenile non-poikilodermatous C8+/CD56+ MF in stage IA. Resolution of the skin lesions was achieved by 16-week narrowband UVB phototherapy and clobetasol propionate 0.05% ointment. Juvenile-onset non-poikilodermatous CD8+CD56+ MF represents a very rare MF subtype and is associated with an indolent course. In order to avoid too aggressive diagnostics and treatments, clinicians should be aware of this rare and indolent MF variant in childhood and adolescence.
Emotions during the Pandemic’s First Wave: The Case of Greek Tweets
Authors: Skarpelos Yannis , Messini Sophia , Roinioti Elina , Karpouzis Kostas , Kaperonis Stavros , Marazoti Michaela-Gavriela
Published: January 2024

While most published research on COVID-19 focused on a few countries and especially on the second wave of the pandemic and the vaccination period, we turn to the first wave (March–May 2020) to examine the sentiments and emotions expressed by Twitter users in Greece. Using deep-learning techniques, the analysis reveals a complex interplay of surprise, anger, fear, and sadness. Initially, surprise was dominant, reflecting the shock and uncertainty accompanying the sudden onset of the pandemic. Anger replaced surprise as individuals struggled with isolation and social distancing. Despite these challenges, positive sentiments of hope, resilience and solidarity were also expressed. The COVID-19 pandemic had a strong imprint upon the emotional landscape worldwide and in Greece. This calls for appealing to emotions as well as to reason when crafting effective public health strategies.
Fully Digital Audio Haptic Maps for Individuals with Blindness
Authors: Kaplan Howard , Pyayt Anna
Published: January 2024

Tactile maps designed for individuals with blindness can greatly improve their mobility, safety and access to new locations. While 3D-printed maps have already been demonstrated to be a powerful tool for delivering spatial information, they might not always be available. Alternatively, a combination of audio and haptic information can be used to efficiently encode 2D maps. In this paper, we discuss the development and user-testing of a novel audio-haptic map creator application. Maps created using this application can provide people with blindness with a tool for understanding the navigational routes and layouts of spaces before physically visiting the site. Thirteen people with blindness tested various components of the virtual map application, such as audio, haptic feedback and navigation controls. Participants’ data and feedback were collected and analyzed to determine the effectiveness of the virtual maps as it relates to this user group’s readability and usability. The study showed that it was easy to use and that it efficiently delivered information about travel routes and landmarks that the participants could successfully understand.
Factors Associated with Resilience among Thai Nursing Students in the Context of Clinical Education: A Cross-Sectional Study
Authors: Aryuwat Pimwalunn , Holmgren Jessica , Asp Margareta , Lövenmark Annica , Radabutr Matanee , Sandborgh Maria
Published: January 2024

Resilience aids nursing students in dealing with adversities during their nursing education. This study examined the relationship between nursing students’ resilience and relevant variables in the context of clinical education. Methods: A cross-sectional study was conducted to collect data from 319 undergraduate nursing students in Northeast Thailand. The Connor–Davidson Resilience Scale, the Multidimensional Scale of Perceived Social Support, the Learning Experience Scale or the Personal Responsibility Orientation to Self-Direction in Learning Scale, and the Stressors in Nursing Students scale were administered. A multiple regression analysis was performed for factors presumed to be associated with resilience. Results reported that Thai nursing students’ average resilience score was 71.79 ± 16.33. Multiple regression analysis indicated factors associated with resilience, in which social support (β = 0.354, p < 0.001, 95%CI: 0.240 to 0.469) and self-directed learning (β = 0.787, p < 0.001, 95%CI: 0.606 to 0.968) showed a positive association, while stress (β = −0.083, p = 0.025, 95%CI: −0.083 to −0.006) had a negative association. The final model accounted for 43.4% of the variance in the resilience score. In conclusion, self-directed learning, social support, and perceived stress among nursing students during clinical education are associated with their resilience.
Power Allocation Based on Multi-Agent Deep Deterministic Policy Gradient for Underwater Acoustic Communication Networks
Authors: Geng Xuan , Hui Xinyu
Published: January 2024

This paper proposes a reinforcement learning-based power allocation for underwater acoustic communication networks (UACNs). The objective function is formulated as maximizing channel capacity under constraints of maximum power and minimum channel capacity. To solve this problem, a multi-agent deep deterministic policy gradient (MADDPG) approach is introduced, where each transmitter node is considered as an agent. Given the definition of a Markov decision process (MDP) model for this problem, the agents learn to collaboratively maximize the channel capacity by deep deterministic policy gradient (DDPG) learning. Specifically, the power allocation of each agent is obtained by a centralized training and distributed execution (CTDE) method. Simulation results show the sum rate achieved by the proposed algorithm approximates that of the fractional programming (FP) algorithm and improves by at least 5% compared with the DQN (deep Q-learning network) -based power allocation algorithm.