bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigate the Role of Iron in Mixed Metal‐UiO‐66 and its Non‐Covalent Interaction with rGO for Improved Solar‐to‐Hydrogen Production
Authors: Shanmugam Mariyappan , Agamendran Nithish , Arulraj Roshini , Shenoy Sulakshana , Sadhukhan Tumpa , Neppolian Bernaurdshaw , Sekar Karthikeyan 
Published: July 2024

AbstractThe interesting physiochemical characteristics of metal‐organic frameworks (MOFs) have made them attractive materials for photocatalytic hydrogen evolution reactions. In this study, UiO‐66 was developed through the addition of iron to form nano sphere‐shaped mixed metal Zr, Fe‐UiO‐66 (UZF), and it was further composite with nanosheets of reduced graphene oxide (denoted as UZFG) for enhanced photocatalytic hydrogen production. The pristine UiO‐66 did not produce hydrogen but the addition of iron improves the charge separation, reduces the band gap. So, it produces the hydrogen at a rate of 41 μmol g−1 h−1. The π‐π interaction between the MOF and rGO enhanced the conductivity and reduced the electron (e−) and hole (h+) recombination. Thus, the enhanced activity obtained for UZFG is 61.6 μmol g−1 h−1. The formation of the mixed metal MOFs was confirmed by their crystallinity, Fe−O bond formation. It was proven by XRD and XAF. The π‐π interaction between the MOF and rGO was confirmed by RAMAN spectra and FT‐IR. This work offers a sustainable method for producing hydrogen fuel through photocatalysis through water splitting.
Silicon Phthalocyanines Functionalized with Axial Substituents Targeting PSMA: Synthesis and Preliminary Assessment of Their Potential for PhotoDynamic Therapy of Prostate Cancer
Authors: Capozza Martina , Digilio Giuseppe , Gagliardi Michela , Tei Lorenzo , Marchesi Stefano , Terreno Enzo , Stefania Rachele 
Published: July 2024

AbstractPhotodynamic therapy (PDT) is a clinical modality based on the irradiation of different diseases, mostly tumours, with light following the selective uptake of a photosensitiser by the pathological tissue. In this study, two new silicon(IV)phtalocyanines (SiPcs) functionalized at both axial positions with a PSMA inhibitor are reported as candidate photosensitizers for PDT of prostate cancer, namely compounds SiPc‐PQ(PSMAi)2 and SiPc‐OSi(PSMAi)2. These compounds share the same PSMA‐binding motif, but differ in the linker that connects the inhibitor moiety to the Si(IV) atom: an alkoxy (Si−O−C) bond for SiPc‐PQ(PSMAi)2, and a silyloxy (Si−O−Si) bond for SiPc‐OSi(PSMAi)2. Both compounds were synthesized by a facile synthetic route and fully characterized by 2D NMR, mass spectrometry and absorption/fluorescence spectrophotometry. The PDT agents showed a suitable solubility in water, where they essentially exist in monomeric form. SiPc‐PQ(PSMAi)2 showed a higher singlet oxygen quantum yield ΦΔ, higher fluorescence quantum yields ΦF and better photostability than SiPc‐OSi(PSMAi)2. Both compounds were efficiently taken up by PSMA(+) PC3‐PIP cells, but not by PSMA(−) PC3‐FLU cells. However, SiPc‐PQ(PSMAi)2 showed a more specific photoinduced cytotoxicity in vitro, which is likely attributable to a better stability of its water solutions.
State‐of‐the‐Art Nrf2 Inhibitors: Therapeutic Opportunities in Non‐Cancer Diseases
Authors: Ayala‐Cosme Emil G. , Yang Deborah , Vences Kyara , Davis Lindsey O. , Borgini Matteo 
Published: July 2024

AbstractNuclear factor erythroid 2‐related factor (Nrf2) is a cytoprotective transcription factor that induces the transcription of genes responsible for the cell's response to oxidative stress. While Nrf2 activation has led to the development of clinically relevant therapeutics, the oncogenic role of Nrf2 in the proliferation of cancer cells has underscored the complex nature of Nrf2 and the necessity for the development of Nrf2 inhibitors. Although the application of Nrf2 inhibitors appears limited as anticancer agents, recent studies have begun to pinpoint the impairment of autophagy in diseases as a cellular marker that shifts Nrf2 from a protective to a deleterious state. Therefore, the cytoplasmic accumulation of Nrf2 can lead to the accumulation of lipid hydroperoxides and, ultimately, to ferroptosis. However, some studies aimed at elucidating the role of Nrf2 in non‐cancer diseases have yielded conflicting results, attributed to differences in approaches used to inhibit or activate Nrf2, as well as variations in in vitro and/or in vivo disease models. Overall, these results highlight the necessity for a deeper evaluation of Nrf2′s role in diseases, especially chronic diseases. In this review, we discuss diseases where Nrf2 inhibition holds potential for beneficial therapeutic effects and summarize recently reported Nrf2 inhibitors exploiting medicinal chemistry approaches suitable for targeting transcription factors like Nrf2.
Optimization of the Structural Rigidity of a Deep‐NIR Scaffold for Bioimaging
Authors: Hu Xinru , Dong Yan , Zhang Yuyang , Chen Xiaohua , Yuan Chuanbao , Wang Danyang , Qian Xuhong , Luo Xiao , Yang Youjun 
Published: July 2024

AbstractBright deep‐NIR dyes are actively sought after for their potential in fluorescence‐guided surgery and disease theranostics. The major bottleneck lies with the rigidification of the conjugative backbone to suppress non‐radiative deactivation. EC5 is a notable deep‐NIR absorbing/emitting scaffold, which we first reported in 2017. We recently discovered that its diphenyl ether moiety exhibited structural freedom, which was detrimental to its fluorescence brightness. We proposed to enhance the structural rigidity of EC5 via ring‐contraction, i. e., changing the diphenyl ether moiety of EC5E into a biphenyl of EC5B, its low‐frequency normal modes were largely suppressed as predicted by theoretical calculations, and a 55.0 % increase of fluorescence brightness in CH2Cl2 was rendered experimentally. The bright EC5B was feasible for high‐contrast in vivo imaging. EC5B has broad potential in practical biomedical applications.
Performance evaluation of the congestion severity aware rate regulation (CSRR) algorithm in wireless body area networks
Authors: Mekatohti Vamsi kiran , B Nithya 
Published: July 2024

SummaryWireless body area network (WBAN) is a potential low‐cost technology for privacy‐sensitive telemedicine and e‐health monitoring and services. However, it faces limited protocol and physical resource support challenges, which can result in packet transfer difficulties. In particular, WBAN requires an emergency‐aware technology that ensures a promising quality of service (QoS). One significant issue affecting QoS and energy efficiency in WBAN is congestion. Effective congestion control techniques are essential for achieving proper load balancing. To address these challenges, we propose a congestion severity aware rate control (CSRR) algorithm that enhances packet transmission rate by reducing packet losses and retransmissions. The CSRR algorithm incorporates a fuzzy controller to predict congestion rates based on runtime metrics. To regulate congestion window growth in different algorithm phases, we introduce sequences such as the Fibonacci retracement sequence, knight's move sequence, and the binary logarithm of the
primorial sequence to regulate congestion window growth in the different phases of the proposed algorithm. We mathematically analyze the proposed CSRR algorithm using a Markov model. The simulation results demonstrate the superiority of our algorithm compared to existing approaches. Specifically, our algorithm achieves significant optimizations in terms of throughput (52.92%), packet loss (38.11%), delay (37.23%), and remaining energy (36.86%) when compared to existing algorithms.
Comparison of the coexistence pattern of mangrove macrobenthos between natural and artificial reforestation
Authors: Guo Pingping , Lin Yufeng , Sheng Yifei , Gu Xuan , Deng Yijuan , Zhang Yamian , Wang Wenqing , Wang Mao 
Published: July 2024

AbstractThe abandoned pond‐to‐mangrove restoration project provides greater advantages than tidal flats afforestation in restoring mangrove ecosystem services and will be the primary method for mangrove restoration in the future. The existing methods for abandoned pond‐to‐mangrove restoration include artificial restoration through ‘dike‐breaking, filling with imported soil and tree planting’ and natural restoration through ‘dike‐breaking and natural succession’. However, little is known about which restoration strategy (natural or artificial restoration) provides more benefits to the biodiversity of mangrove macrobethos. Given a prevailing view suggested that artificial restoration should be the preferred approach for accelerating recovery of biodiversity and vegetation structure in tropical regions, we hypothesised higher macrobenthic biodiversity and more complex community structure in artificial restoration than in natural restoration. To test this hypothesis, macrobenthic biodiversity and ecological processes were monitored in a typical abandoned pond‐to‐mangrove area of Dongzhaigang Bay, China, where artificial and natural restoration methods were used concurrently. Differences in macrobenthic biodiversity, community structure and ecological processes were compared using diversity indices, complex network analysis and null models. Similar species composition and ecological niche overlap and width among macrobenthos were observed at artificial and natural restoration sites. The biotic heterogeneity and interaction among macrobenthos were higher at the natural restoration sites than at the artificial restoration sites. Macrobenthos community assembly at natural and artificial restoration sites was both determined by deterministic processes, with environmental filtering dominating, which explained 52% and 54% of the variations in macrobenthic community structures respectively. Although our findings did not validate the research hypothesis, higher biotic heterogeneity and species interaction among macrobenthos could support natural restoration as the primary method for abandoned pond‐to‐mangrove projects, because it is a nature‐based solution for mangrove restoration.
Forecast performance of noncausal autoregressions and the importance of unit root pretesting
Authors: Bec Frédérique , Bohn Nielsen Heino 
Published: July 2024

AbstractBased on a large simulation study, this paper investigates which strategy to adopt in order to choose the most accurate forecasting model for mixed causal‐noncausal autoregressions (MAR) data generating processes: always differencing (D), never differencing (L), or unit root pretesting (P). Relying on recent econometric developments regarding forecasting and unit root testing in the MAR framework, the main results suggest that from a practitioner's point of view, the P strategy at the 10% level is a good compromise. In fact, it never departs too much from the best model in terms of forecast accuracy, unlike the L (respectively, D) strategy when the DGP becomes very persistent (respectively, less persistent). This approach is illustrated using recent monthly Brent crude oil price data.
Testicular seminoma in transverse testicular ectopia
Authors: Inoue Minoru , Osaka Akiyoshi , Ikezoe Erika , Tsujioka Hiroki , Nirazuka Asumi , Hasegawa Kintaro , Iwahata Toshiyuki , Nakayama Akinori , Setoguchi Kiyoshi , Saito Kazutaka 
Published: July 2024

IntroductionTransverse testicular ectopia is a rare anomaly in which both testes descend toward the same side of the hemiscrotum.Case presentationA 35‐year‐old man presented with right inguinal enlargement. Computed tomography showed a normal testis in the right hemiscrotum and a 58 mm heterogeneous mass in the right inguinal area. No testis was observed in the left hemiscrotum. The vascular structures extended from the right inguinal mass to the left renal vein. Consequently, the left testicular tumor was diagnosed as transverse testicular ectopia, and a left orchiectomy was performed. The histological diagnosis was seminoma stage pT2. Furthermore, left para‐aortic lymph node metastasis developed 10 months postoperatively. A complete response was obtained after systemic chemotherapy.ConclusionAwareness of seminomas in transverse testicular ectopia could facilitate appropriate diagnosis and treatment. Furthermore, the location of the lymph node metastasis indicated that the ectopic testis could have originated from the left side.
Ezetimibe ketone protects against renal ischemia–reperfusion injury and attenuates oxidative stress via activation of the Nrf2/HO‐1 signaling pathway
Authors: Chen Zhen , Wang Kai , He Xiaozhou , Xue Dong , Ma Xuyi 
Published: July 2024

AbstractRecently, ezetimibe (EZM) has been suggested to be a potent Nrf2 activator that is important for preventing oxidative stress. Interestingly, we found that its metabolite ezetimibe ketone (EZM‐K) also has antioxidant effects. Thus, we investigated the role of EZM‐K in preventing renal ischemia‒reperfusion injury (RIRI). Cultured NRK‐52E cells were subjected to simulated IR with or without EZM‐K. Rats were used to simulate in vivo experiments. EZM‐K alleviated H2O2‐induced apoptosis and reactive oxygen species (ROS) and upregulated Nrf2 and HO‐1 levels in NRK‐52E cells. A HO‐1 and a Nrf2 inhibitor reversed the protective effects of EZM‐K. In the rat RIRI model, pretreatment with EZM‐K activated the Nrf2/HO‐1 signaling pathway, suppressed tubular injury and inflammation, and improved renal function. EZM‐K significantly prevented renal injury caused by ischemia‒reperfusion via the Nrf2/HO‐1 signaling axis both in vivo and in vitro. The other metabolite of EZM, ezetimibe glucuronide (EZM‐G) had no protective effects against ROS in RIRI. EZM‐G also had no antioxidant effects and could not activate Nrf2/HO‐1 signal pathway. Our findings also indicated the therapeutic potential of EZM‐K in preventing RIRI.
In silico study suggests potential drugs that target CD151 to treat breast cancer and glioblastoma
Authors: Ramírez‐Salinas Gema , Rosales‐Hernandéz Martha Cecilia , Correa‐Basurto José , Guerrero‐González Issac , Hernández‐Castro Selene Saraí , Martinez‐Archundia Marlet 
Published: July 2024

AbstractRecently tetraspanin CD151 has been identified as an important biological target involved in metastatic processes which include cell adhesion, tumor progression processes, and so forth in different types of cancers, such as breast cancer and glioblastoma. This in Silico study considered 1603 compounds from the Food and Drug Administration database, after performing an ADMET analysis; we selected 853 ligands, which were used for docking analysis. The most promising ligands were selected from docking studies, based on two criteria: (a) showed lowest affinity to the CD151 protein and (b) they interact with the QRD motif, located in the second extracellular loop. Furthermore, we investigate the stability of the protein‐ligand complexes through MD simulations as well as free energy MM‐PBSA calculations. From these results, loperamide and glipizide were identified as the best evaluated drugs. We suggest an in vitro analysis is needed to confirm our in silico prediction studies.
A network analysis of body image concern, interoceptive sensibility, self‐consciousness, and self‐objectification
Authors: Zhang Ning , Yang Han‐Xue 
Published: July 2024

AbstractObjectiveDisrupted interoception has been found in individuals with body image concerns and related psychiatric conditions (i.e., eating disorders, body dysmorphic disorder). However, few studies have explored the role of interoception in the relationship between body image concern and self‐objectification (SO). As components of the bodily self, interoception and body image may also contribute to the fostering of self‐consciousness.MethodsThe current study estimated the network model of body image concern, adaptive and maladaptive interoceptive sensibility (IS), self‐consciousness, and SO, with data from 743 neurotypical adults. The centrality of nodes and the robustness of the network were verified.ResultsOur network showed that interoception correlated with certain characteristics of body image concern (BIC) with varying strength and different directions. The most central node described beliefs of BIC, namely, negative evaluation toward appearance. Self‐objectification and maladaptive IS presented the highest bridge centrality. Interoception also linked BICs with SO and self‐consciousness.ConclusionFindings suggested that SO, adaptive and maladaptive interoception might be the targets of intervention for individuals with BIC, specifically for those with high levels of appearance‐related negative self‐evaluations.
Point‐of‐care ultrasound in skin and soft tissue infections
Authors: Koppa Bryan M. , Kelly Christopher T. 
Published: July 2024

AbstractBackgroundSkin and soft tissue infections (SSTIs) are commonly encountered in clinical practice. Point‐of‐care ultrasound (POCUS) is becoming an increasingly valuable tool in hospital medicine, especially with advancements in ultrasound technology that make it easier to perform. POCUS can augment the history and physical exam in patients with suspected SSTIs. POCUS can detect deeper infections, such as abscesses, and expedite time to surgical debridement for life‐threatening infections such as necrotizing fasciitis (NF).ObjectivesThis review provides an introduction on how to perform and interpret a skin and soft tissue POCUS exam, the key sonographic findings for SSTIs, and how to incorporate these findings into clinical reasoning and management.MethodsSSTI POCUS literature was reviewed using PubMed. All relevant studies with a defined protocol and reported sensitivity and specificity pertaining to the use of POCUS to diagnose SSTIs in adults were included. The authors provide additional input based on their ultrasound expertise and clinical experience.ResultsA total of seven studies met the criteria to be included in this review.ConclusionsSoft tissue POCUS is a valuable tool for hospitalists to improve diagnostic accuracy and patient care when assessing suspected SSTIs. Access to equipment, POCUS training, and experience are barriers to widespread use. However, performing a soft tissue POCUS exam is straightforward. It requires less training compared to other POCUS exams, and it has notable potential for routine future practice in the evaluation and management of suspected SSTIs and other dermatologic conditions.
Open wedge high tibial osteotomy alters patellofemoral joint kinematics: A multibody simulation study
Authors: Schroeder Lennart , Grothues Sonja , Brunner Josef , Radermacher Klaus , Holzapfel Boris Michael , Jörgens Maximilian , Fuermetz Julian 
Published: July 2024

AbstractChanges in lower limb alignment after open‐wedge high tibial osteotomy (owHTO) influence joint kinematics. The aim of this study was to investigate the morphological and kinematic changes of the knee joint, in particular the patellofemoral joint, using a multibody simulation model. OwHTO with an open tibial wedge of 6–12 mm (1 mm intervals) was virtually performed on each of 13 three‐dimensional (3D) computer‐aided design models (CAD models) derived from computer tomography scans of full‐leg cadaver specimens. For each owHTO, an individual biomechanical simulation model was built and knee flexion from 5° to 100° was simulated using a multibody simulation model of the native knee. Morphologic and alignment parameters as well as tibiofemoral and patellofemoral kinematic parameters were evaluated. Almost linear changes in tibial tuberosity trochlea groove (TT‐TG) (0.42 mm/1 mm wedge height) were observed which led to pathological values (TT‐TG > 20 mm) in 3 out of 13 knees. Furthermore, a 6 mm increase in osteotomy wedge height increased lateral patellofemoral rotation by 0.8° (range: 0.39° to 1.11°) and led to a lateral patellar translation of 0.8 mm (range: 0.37–3.11 mm) on average. Additionally, valgisation led to a medial translation of the tibia and a decrease in the degree of tibial internal rotation during knee flexion of approximately 0.3°/1 mm increase in osteotomy wedge height. The increase in TT‐TG and the biomechanical effects observed influence patellofemoral tracking, which may increase retropatellar pressure and are potential risk factors for the development of anterior knee pain.
Two decades of network meta‐analysis: Roadmap to their applications and challenges
Authors: Veroniki Areti Angeliki , Florez Ivan , Hutton Brian , Straus Sharon E. , Tricco Andrea C. 
Published: July 2024

AbstractRecently, Ades and colleagues discussed the controversies and advancements in network meta‐analysis (NMA) over the past two decades, discussing its reliability, assumptions, novel approaches, and provided some useful recommendations for the conduction of NMAs. The present discussion paper builds on the insights by Ades and colleagues, providing a roadmap for NMA applications, advancements in software and tools, and approaches designed to facilitate the assessment and interpretation of NMA findings. It also discusses the impact of NMA across disciplines, particularly for policymakers and guideline developers. Despite 20 years of NMA history, challenges remain in understanding and assessing assumptions, communicating and interpreting findings, and applying common approaches like network meta‐regression and NMA involving non‐randomized studies in readily available software. NMA has proven particularly valuable in clinical decision‐making, which highlights the need for additional training and interdisciplinary collaboration of knowledge users, including patient engagement, to enhance its adoption and address real‐world problems.
Research progress of malignant peritoneal mesothelioma with paraneoplastic syndrome: A review
Authors: Liang Xin‐Li , Li Xin‐Bao , Fu Yu‐Bin , Su Yan‐Dong , Ma Ru , Yang Rui , Wu He‐Liang , Li Yan 
Published: July 2024

AbstractMalignant peritoneal mesothelioma (MPM) is a rare and invasive tumor, and some patients will develop paraneoplastic syndrome (PS) during the course of the disease. This review summarizes PS associated with MPM, focusing on the clinical characteristics and treatment progress in hematological, endocrine, rheumatic, neurological, urinary, and other systems to decrease missed diagnosis and misdiagnosis, help early diagnosis and prompt treatment, and provide guidance for the clinical decision‐making of this kind of patients.
The artificial intelligence advantage: Supercharging exploratory data analysis
Authors: Oettl Felix C. , Oeding Jacob F. , Feldt Robert , Ley Christophe , Hirschmann Michael T. , Samuelsson Kristian ,   ESSKA Artificial Intelligence Working Group
Published: July 2024

AbstractExplorative data analysis (EDA) is a critical step in scientific projects, aiming to uncover valuable insights and patterns within data. Traditionally, EDA involves manual inspection, visualization, and various statistical methods. The advent of artificial intelligence (AI) and machine learning (ML) has the potential to improve EDA, offering more sophisticated approaches that enhance its efficacy. This review explores how AI and ML algorithms can improve feature engineering and selection during EDA, leading to more robust predictive models and data‐driven decisions. Tree‐based models, regularized regression, and clustering algorithms were identified as key techniques. These methods automate feature importance ranking, handle complex interactions, perform feature selection, reveal hidden groupings, and detect anomalies. Real‐world applications include risk prediction in total hip arthroplasty and subgroup identification in scoliosis patients. Recent advances in explainable AI and EDA automation show potential for further improvement. The integration of AI and ML into EDA accelerates tasks and uncovers sophisticated insights. However, effective utilization requires a deep understanding of the algorithms, their assumptions, and limitations, along with domain knowledge for proper interpretation. As data continues to grow, AI will play an increasingly pivotal role in EDA when combined with human expertise, driving more informed, data‐driven decision‐making across various scientific domains.Level of Evidence: Level V ‐ Expert opinion.