The increasing requirements concerning the consideration of the environmental impact of building materials, along with the simultaneous preservation and enhancement of building thermal parameters, have led to a surge in interest in insulations based on organic or recycled materials. Despite the growing interest in these materials, there remains a scarcity of scientific studies regarding their hygrothermal properties. Within the scope of the research described in the text, the insulation properties of loose-fill materials (hemp shives, cellulose fibers, loose wood wool, and mineral wool as a reference) in wooden frame walls were analyzed. The authors simulated walls with the same U value filled with these materials using Delphin 6.1 software. The simulation time was 3 years, considering the appropriate climatic conditions of Olsztyn and different microclimatic conditions inside the rooms. Insulations made of natural organic can absorb and reveal moisture to the internal environment, while mineral wool transports the moisture to the outside, which may cause condensation problems. Insulations made of hemp shives or wood wool do not increase the level of accumulated moisture over time, which results in thermal stability. In contrast, cellulose and mineral wool store more moisture, which in wet conditions increases the heat flux by 6.9% and 5.2%, respectively. Full article

NMDP recognizes that despite advances in hematopoietic stem cell transplantation (HSCT) and other cell therapies, not all patients have equitable access to treatment, and disparities in outcomes remain. This paper explores the recent work of NMDP to accelerate progress and expand access to more patients through transformative clinical research, particularly in the use of mismatched unrelated donors for HSCT. Full article

Cancer, characterized by uncontrolled cell growth and metastasis, represents a significant challenge to public health. The IGF1/IGF1R axis plays a pivotal role in tumor proliferation and survival, presenting an attractive target for intervention. NT157, a small molecule tyrphostin, has emerged as a promising inhibitor of this axis, displaying potent antineoplastic effects across various cancer types. This review synthesizes the literature on NT157’s mechanism of action and its impact on cellular processes in experimental cancer models. Initially identified for inducing the serine phosphorylation of IRS1 and IRS2, leading to their degradation and inhibiting the IGF1R signaling cascade, subsequent studies revealed additional targets of NT157, including STAT3, STAT5, and AXL, suggesting a multifaceted mechanism. Experimental evidence demonstrates that NT157 effectively suppresses tumor growth, metastasis, and angiogenesis in diverse cancer models. Additionally, NT157 enhances chemotherapy efficacy in combination therapy. Moreover, NT157 impacts not only tumor cells but also the tumor microenvironment, modulating inflammation and immune responses by targeting cancer-associated fibroblasts, myeloid cells, and immune cells, creating a suppressive milieu hindering tumor progression and metastasis. In conclusion, NT157 exhibits remarkable versatility in targeting multiple oncogenic pathways and hallmarks of cancer, underscoring its potential as a promising therapeutic agent. Full article

Human cytomegalovirus is a ubiquitous herpesvirus that, while latent in most individuals, poses a great risk to immunocompromised patients. In contrast to directly acting traditional antiviral drugs, such as ganciclovir, we aim to emulate a physiological infection control using T cells. For this, we constructed several bispecific T-cell engager (BiTE) constructs targeting different viral glycoproteins of the murine cytomegalovirus and evaluated them in vitro for their efficacy. To isolate the target specific effect without viral immune evasion, we established stable reporter cell lines expressing the viral target glycoprotein B, and the glycoprotein complexes gN-gM and gH-gL, as well as nano-luciferase (nLuc). First, we evaluated binding capacities using flow cytometry and established killing assays, measuring nLuc-release upon cell lysis. All BiTE constructs proved to be functional mediators for T-cell recruitment and will allow a proof of concept for this treatment option. This might pave the way for strikingly safer immunosuppression in vulnerable patient groups. Full article

We present a case of bilateral endogenous endophthalmitis with an extremely rare etiology of Capnocytophaga canimorsus. A 42-year-old asplenic patient with bilateral deterioration of visual acuity presented to the Emergency Department. The sudden deterioration of visual acuity, which prompted the patient to visit the ophthalmologist, was the first sign of the onset of sepsis. The physicians’ attention, in addition to poor visual acuity and intense inflammation on ophthalmologic examination, was drawn to the reported flu-like symptoms. They were accompanied by high C-reactive protein results and abnormalities in echocardiography. A blood culture isolated the bacterium Capnocytophaga canimorsus. Immunocompromised patients are particularly susceptible to C. canimorsus infection. Endophthalmitis of this etiology has a very aggressive course, both ophthalmic and systemic. Therefore, quick diagnosis and initiation of adequate therapy are crucial. Full article

It is important to recover La³⁺ from metallurgical solutions or wastewater. However, the recovery rate of La³⁺ is usually less than 1% and the recovery methods are not environmentally friendly or user-friendly. Therefore, a straightforward, efficient, clean, and economically friendly method is needed. In this investigation, a modified adsorbent, COSAC-Na₂EDTA-15, which was made from the Camellia oleifera shell (COS) and disodium ethylenediaminetetraacetic acid (Na₂EDTA), was invented. In addition, characterization of the COSAC-Na₂EDTA-15 adsorbent was conducted using SEM and XPS, and the principle of adsorption was revealed. The adsorption kinetics followed P-S-O KM, while the isotherm of COS-activated carbon (COSAC) aligned more closely with the Langmuir model. Compared to COSAC, the maximum La³⁺ adsorption capacity of COSAC-Na₂EDTA-15 increased from 50 to 162.43 mg/g, and the content of O and N changed from 7.31% and 1.48% to 12.64% and 4.15%, respectively. The surface of the COSAC-Na₂EDTA-15 exhibited abundant C, N, and O elements, and La³⁺ was detected on the sample surface after adsorption. The test and analysis results fully indicate that La³⁺ can be successfully adsorbed on the surface of COSAC-Na₂EDTA-15. Because of its easy preparation, low cost, and superior performance, activated carbon made from COS finds extensive applications in the adsorption and recovery of rare earth elements. Full article

Global warming has caused such problems as the poor coloration of grape skin and the decreased production of high-quality berries. We investigated the effect of synephrine (Syn) on anthocyanin accumulation. Anthocyanin accumulation in cultured grape cells treated with Syn at concentrations of 1 mM or higher showed no significant difference, indicating that the accumulation was concentration-independent. On the other hand, anthocyanin accumulation was dependent on the compound used for treatment. The sugar/acid ratio of the juice from berries treated with Syn did not differ from the control. The expression of anthocyanin-biosynthesis-related genes, but not phytohormones, was increased by the treatment with Syn at 24 h or later. The Syn treatment of cultured cells increased SOD3 expression and hydrogen peroxide (H₂O₂) production from 3 to 24 h after treatment. Subsequently, the expression of CAT and APX6 encoding H₂O₂-scavenging enzymes was also increased. Treatment of cultured cells with Syn and H₂O₂ increased the expression of the H₂O₂-responsive gene Chit4 and the anthocyanin-biosynthesis-related genes mybA1 and UFGT 4 days after the treatment and increased anthocyanin accumulation 7 days after the treatment. On the other hand, the treatment of berries with Syn and H₂O₂ increased anthocyanin accumulation after 9 days. These results suggest that Syn increases anthocyanin accumulation through H₂O₂ production without changing phytohormone biosynthesis. Syn is expected to improve grape skin coloration and contribute to high-quality berry production. Full article

Experiments conducted on triple-negative breast cancer have shown that fucoidan from Lessonia trabeculata (FLt) exhibits cytotoxic and antitumor properties. However, further research is necessary to gain a complete understanding of its bioactivity and level of cytotoxicity. The cytotoxic effect of FLt was determined by the 2,5-diphenyl-2H-tetrazolium bromide (MTT) assay. Apoptosis was analyzed using annexin V and caspase 3/7 staining kit and DNA fragmentation. In addition, transcriptional expression of antiapoptotic (Bcl-2 and XIAP) and proapoptotic (caspase 8, caspase 9, and AIF) genes were analyzed in TNBC 4T1 cells. After 72 h of culture, the IC₅₀ for FLt was 561 μg/mL, while doxorubicin (Dox) had an IC₅₀ of 0.04 μg/mL. In addition, assays for FLt + Dox were performed. Annexin V and caspase 3/7 revealed that FLt induces early and late-stage apoptosis. DNA fragmentation results support necrotic death of 4T1 cells. Similarly, transcripts that prevent cell death were decreased, while transcripts that promote cell death were increased. This study showed that FLt induces apoptosis by both caspase-dependent and caspase-independent mechanisms. These findings suggest that FLt may have potential applications in breast cancer treatment. Further research will provide more information to elucidate the mechanism of action of FLt. Full article

This article primarily focuses on the study of image-based localization technology. While traditional methods have made significant advancements in technology and applications, the emerging field of visual image-based localization technology demonstrates tremendous potential for research. Deep learning has exhibited a strong performance in image processing, particularly in developing visual navigation and localization techniques using large-scale visual models. This paper introduces a sophisticated scene image localization technique based on large models in a vast spatial sample environment. The study involved training convolutional neural networks using millions of geographically labeled images, extracting image position information using large model algorithms, and collecting sample data under various conditions in elastic scene space. Through visual computation, the shooting position of photos was inferred to obtain the approximate position information of users. This method utilizes geographic location information to classify images and combines it with landmarks, natural features, and architectural styles to determine their locations. The experimental results show variations in positioning accuracy among different models, with the most optimal model obtained through training on a large-scale dataset. They also indicate that the positioning error in urban street-based images is relatively small, whereas the positioning effect in outdoor and local scenes, especially in large-scale spatial environments, is limited. This suggests that the location information of users can be effectively determined through the utilization of geographic data, to classify images and incorporate landmarks, natural features, and architectural styles. The study’s experimentation indicates the variation in positioning accuracy among different models, highlighting the significance of training on a large-scale dataset for optimal results. Furthermore, it highlights the contrasting impact on urban street-based images versus outdoor and local scenes in large-scale spatial environments. Full article

As shown by sociological studies, the Catholic Church in Italy is very active in conducting advocacy and providing political representation to immigrants. It is also highly effective in carrying out services for immigrants, as well as fairly receptive to sharing places of worship with them. However, these sociological observations have been mainly conducted at the national level rather than by exploring the life of parishes through an empirical lens. This article aims, by applying the congregations study methodology, to fill this gap by detecting faith communities as the basic social units of religious life at the city/country level. In doing that, we discuss quantitative data collected in 377 Catholic parishes in the cities of Bologna, Milan, and Brescia. The findings suggest that Catholic parishes: (i) illustrate a low proportion of immigrants in their communities; (ii) show high activity in providing services for immigrants; (iii) are not politically engaged in advocacy for foreign persons at the local level; and (iv) similarly position themselves as politically conservative and liberal while expressing commitments to immigrants. This study confirms the sociological argument regarding the solidarity approach of the Catholic Church in Italy toward immigrants, while highlighting some ambivalent aspects related to cultural diversity and grass-roots political engagement within parishes’ life. Full article

The United Arab Emirates (UAE) is often regarded as a preferred employment location for Indian migrant workers seeking improved financial stability and enhanced career opportunities. The spread of COVID-19 has led to a decline in international migration rates and an increase in the number of individuals returning to their home countries. Therefore, it is imperative to analyze the challenges and perspectives of migrant labour. The assessment was based on a sample size of 416 Indian migrant workers who were present in the UAE during the lockdown period of the pandemic. Statistical techniques were employed to assess the research objective and examine the formulated hypothesis. The study confirms that the employment status of the migrant population has transformed, leading to a decline in both income and remittance flows. There is a significant difference in remittances by Indian migrant workers in the United Arab Emirates before and during the COVID-19 pandemic. The statistical analysis reveals a significant finding in the chi-square test regarding the perception of migrants towards health facilities and other amenities offered by the Government of the UAE. The facilities provided by the Government of the UAE were perceived to be considerably more favourable in comparison to those offered by the Government of India. The favourable view of the UAE authorities led to the choice of several migrant workers to remain there rather than return to India throughout the pandemic. The logistic regression analysis reveals that demographic information such as age, duration of stay, level of education, sources of income, and earnings were the significant determinants of fear of COVID-19. The report also encompasses a few constraints and offers policy recommendations. Full article

The formation of calcium carbonate scale in pipes and devices in water supply networks poses serious problems. Electromagnetic treatment (EMT) is a technology that can prevent the formation of these scales without the need to add chemical reagents, reducing maintenance costs in the installations. In this work, the types of crystals commonly found in water distribution systems are studied, with emphasis on the different techniques that allow their characterization (TGA, XRD, SEM), and the effects that EMT produces on their morphology. Laboratory trials have been carried out with synthetic water prepared from a calcium carbonate solution to study the crystals obtained at different temperatures, with and without EMT. High temperatures cause the production of aragonite instead of the stable form (calcite), as was observed in the samples from the heater resistors. In contrast, in the samples taken in lower temperature zones, a majority presence of calcite was observed. These results have been corroborated with a laboratory-scale evaporation trial, obtaining an increase in the aragonite/calcite ratio with increasing temperature and with the treatment applied, generating crystalline phases that exceed 70% aragonite (needle shape). It is highlighted that the EMT limits the reversion of aragonite to calcite and decreases the formation of scale. Full article

A longitudinal design was used to examine the psychometric properties of the Self-Efficacy for Diabetes Self-Management (SEDM) for children and adolescents with a diagnosis of type 1 diabetes (T1D). The SEDM was adapted to Spanish and the best factorial solution was selected to test the invariance of the measures of age and gender. Individuals between the ages of 10 and 19 years old with a diagnosis of T1D completed a self-reported questionnaire (167 at Time 1 [mean age = 14.49, SD = 2.76; 56.9% boys] and 122 at Time 2 [mean age = 14.77, SD = 2.58; 56.6% boys]). Two unifactorial solutions were tested. The psychometric properties of the scale were validated. The proposed validation obtained excellent reliability indices (χ² (26) = 25.59, p > 0.49, RMSEA = 0.00, 95% CI [0.00, 0.07], CFI = 1.00, GFI = 0.96, AGFI = 0.92, TLI = 1.00, and CMIN = 0.98), and it appeared to be invariant for gender and for age groups. The Cronbach’s α was 0.85. The test–retest reliability was high (r = 0.69 [p < 0.001]). Convergent, discriminant, and external validity were proven. The nine-item SEDM is a brief measure with satisfactory structural validity. From our knowledge, this study provides the first reliable tool to assess self-efficacy in the management of T1D for Spanish children and adolescents. Full article

In this paper, the time-independent Klein-Gordon equation in ${\mathbb{R}}^3$ is treated with a decomposition of the operator $\Delta -{\gamma }^{2}I$ by the Clifford algebra $Cl\left(V_{3,3}\right)$. Some properties of integral operators associated the kind of equations and some Riemann-Hilbert boundary value problems for perturbed Dirac operators are investigated. Full article

Infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) in pregnancy are associated with the development of preeclampsia and fetal growth restriction (FGR). Recently, preeclampsia was linked to impaired maternal hemodynamic function. This retrospective study evaluated singleton pregnancies with COVID-19 during pregnancy and healthy pregnant controls matched for gestational age from November 2020 to March 2022. Non-invasive assessment of maternal hemodynamics by continuous wave Doppler ultrasound measurements (USCOM-1A^® Monitor) and oscillometric arterial stiffness (Arteriograph) was performed. Overall, 69 pregnant women were included—23 women after COVID-19 during pregnancy and 46 healthy controls. While two women (8.7%) were admitted to the hospital due to COVID-19-related symptoms, none required intensive care unit admission or non-invasive/invasive ventilation. There were no statistically significant differences in the majority of hemodynamic parameters between the two cohorts. The prevalence of FGR was significantly higher in the COVID-19 during pregnancy group (9.5% vs. healthy controls: 0.0%; p = 0.036), especially in nulliparous women. No difference in angiogenic markers and neonatal outcomes were observed between pregnant women after COVID-19 and healthy controls. In conclusion, no significant differences in hemodynamic parameters or neonatal outcome were observed in women with COVID-19 during pregnancy. However, an increased prevalence of FGR could be described. Full article

The ARF gene family is a representative transcription factor that plays a crucial role in the regulation of various growth and development processes in plants. Although the ARF gene family has been identified in five Orchidaceae species, limited research has been conducted on the ARF gene within Dendrobium. To explore ARF family genes in different Dendrobium species, we selected chromosome-level genomic data from D. nobile, D. chrysotoxum, and D. huoshanense for genome-wide identification, and to analyze expression patterns in the D. nobile flower. In this study, 13, 18, and 23 ARF genes were identified in the genomes of D. chrysotoxum, D. huoshanense, and D. nobile, respectively. These genes were then subsequently classified into four classes (Classes I, II, III, and IV) based on our phylogenetic analysis. Additional protein sequence analysis found that 30 ARF proteins with three classically conserved structural domains (BDB, MR, and RD) were present in the three Dendrobium species. Our gene structure comparative analysis also found the same evolutionary branch with similar intron-exon structural features. Specifically, Class I and Class III display longer introns that potentially constitute a distinctive characteristic of Dendrobium. Gene expression patterns analysis showed the potential involvement of DnoARF 5, 7, 10, 11, 12, 13, 16, 17, and 23 in initial differentiation and flower bud formation. Likewise, transcriptomic analysis and RT-qPCR expression profiles indicated flower-specific expression patterns for four ARF genes (DnoARF5, DnoARF6, DnoARF16, and DnoARF22), which suggest an important impact on flower development and regulation. Ultimately, this study provides comprehensive data to elucidate the potential functions of ARF genes in three Dendrobium species and suggests new insights for further exploration concerning the function and regulatory mechanisms in Dendrobium during flower development. Full article

Weed detection is closely related to agricultural production, but often faces the problems of leaf shading and limited computational resources. Therefore, this study proposes an improved weed detection algorithm based on YOLOv8. Firstly, the Dilated Feature Integration Block is designed to improve the feature extraction in the backbone network by introducing large kernel convolution and multi-scale dilation convolution, which utilizes information from different scales and levels. Secondly, to solve the problem of a large number of parameters in the feature fusion process of the Path Aggregation Feature Pyramid Network, a new feature fusion architecture multi-scale feature interaction network is designed, which achieves the high-level semantic information to guide the low-level semantic information through the attention mechanism. Finally, we propose a Dynamic Feature Aggregation Head to solve the problem that the YOLOv8 detection head cannot dynamically focus on important features. Comprehensive experiments on two publicly accessible datasets show that the proposed model outperforms the benchmark model, with mAP₅₀ and mAP₇₅ improving by 4.7% and 5.0%, and 5.3% and 3.3%, respectively, whereas the number of model parameters is only 6.62 M. This study illustrates the utility potential of the algorithm for weed detection in cotton fields, marking a significant advancement of artificial intelligence in agriculture. Full article

The shipping industry significantly influences global greenhouse gas emissions through a predominant fossil fuel-based fleet. Regulating bodies are continuously developing rules to reduce the shipping carbon footprint. Adopting low-carbon fuels is considered a step toward achieving the Paris Agreement’s goals; however, it represents a significant paradigm shift in ship design. This work aims to illustrate a methodology for the feasibility assessment of alternative-fuelled vessels considering technical, environmental, and economic perspectives. The technical feasibility focuses on ship propulsion, fuel system safety, and design parameters. The environmental impact evaluation is based on the Tank-to-Wake and the Well-to-Wake approaches. The cost assessment is performed by estimating capital and operational expenditures, considering only the modifications required by the new fuel. The methodology addresses new-building and retrofit solutions, and can be used as a decision support tool for selecting the best strategy. A key output of the methodology is the cargo emission footprint, expressed in equivalent carbon dioxide per cargo unit. Using a handysize bulk carrier as a case study, this work points out the effects of using methanol as an alternative fuel, highlighting its impact on market and transport strategies in a sector evolving towards Eco-Delivery services. Full article

This paper considers the material exchange initiated in the early sculptural practice of Barbara Chase-Riboud when she began to incorporate fiber into her bronze sculptures by looking closely at her 1972 work, The Albino. I suggest that Chase-Riboud staked a claim for sculpture as a symbolic site at which material knowledge might be transferred across time and space. The work’s negotiations open western sculptural practice to a hybridized form located within transhistorical associations that rework the alleged specificities of both craft and bronze into sites for the exchange of ideas and practices. Full article

Background: Exercise is an accepted intervention to improve the quality of life (QoL) of breast cancer patients. Exercise programs have been developed, and all have shown satisfactory results in improving the QoL. There is a lack of research comparing different prescription modalities. The aim of this study is to evaluate the effectiveness of physical exercise (in-person and home-based, compared to the exercise recommendation) on the QoL in breast cancer patients actively undergoing treatment. Methods: This is a randomized clinical trial with three groups (in-person: guided and supervised in-person exercise program; home-based exercise: guided and supervised exercise program with streaming monitoring both as a intervention groups; and recommendation: exercise recommendation as a control group). The QoL was measured using the EORTIC QLQ-C30 questionnaire. A baseline and 24-week analysis were investigated. Results: The total sample analyzed was n = 80. The QoL improved significantly at 24 weeks in the face-to-face and home-based exercise groups, but not in the control group. Exercise in all modalities improved fatigue, nausea, vomiting, appetite, and constipation. The QoL at 24 weeks depended on active chemotherapy, tumor type, and assigned exercise group (r² = 0.503; p < 0.001). Conclusions: The QoL in breast cancer patients undergoing active treatment improved after a 24-week exercise program, especially in face-to-face and home-based exercise. Home-based exercise and streaming-based recommendation is a viable option for exercise recommendation. Full article

Antibiotic resistance poses a significant threat to global public health due to complex interactions between bacterial genetic factors and external influences such as antibiotic misuse. Artificial intelligence (AI) offers innovative strategies to address this crisis. For example, AI can analyze genomic data to detect resistance markers early on, enabling early interventions. In addition, AI-powered decision support systems can optimize antibiotic use by recommending the most effective treatments based on patient data and local resistance patterns. AI can accelerate drug discovery by predicting the efficacy of new compounds and identifying potential antibacterial agents. Although progress has been made, challenges persist, including data quality, model interpretability, and real-world implementation. A multidisciplinary approach that integrates AI with other emerging technologies, such as synthetic biology and nanomedicine, could pave the way for effective prevention and mitigation of antimicrobial resistance, preserving the efficacy of antibiotics for future generations. Full article

There is a lack of studies aiming to assess cellular a disintegrin and metalloproteinase-17 (ADAM-17) activity in COVID-19 patients and the eventual associations with the shedding of membrane-bound angiotensin-converting enzyme 2 (mACE2). In addition, studies that investigate the relationship between ACE2 and ADAM-17 gene expressions in organs infected by SARS-CoV-2 are lacking. We used data from the Massachusetts general hospital COVID-19 study (306 COVID-19 patients and 78 symptomatic controls) to investigate the association between plasma levels of 33 different ADAM-17 substrates and COVID-19 severity and mortality. As a surrogate of cellular ADAM-17 activity, an ADAM-17 substrate score was calculated. The associations between soluble ACE2 (sACE2) and the ADAM-17 substrate score, renin, key inflammatory markers, and lung injury markers were investigated. Furthermore, we used data from the Genotype-Tissue Expression (GTEx) database to evaluate ADAM-17 and ACE2 gene expressions by age and sex in ages between 20–80 years. We found that increased ADAM-17 activity, as estimated by the ADAM-17 substrates score, was associated with COVID-19 severity (p = 0.001). ADAM-17 activity was also associated with increased mortality but did not reach statistical significance (p = 0.06). Soluble ACE2 showed the strongest positive correlation with the ADAM-17 substrate score, follow by renin, interleukin-6, and lung injury biomarkers. The ratio of ADAM-17 to ACE2 gene expression was highest in the lung. This study indicates that increased ADAM-17 activity is associated with severe COVID-19. Our findings also indicate that there may a bidirectional relationship between membrane-bound ACE2 shedding via increased ADAM-17 activity, dysregulated renin–angiotensin system (RAS) and immune signaling. Additionally, differences in ACE2 and ADAM-17 gene expressions between different tissues may be of importance in explaining why the lung is the organ most severely affected by COVID-19, but this requires further evaluation in prospective studies. Full article