bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data branch sharing dual‐edge explicit‐pulsed level converting flip‐flops
Authors: Dai Yanyun , Yang Yanfei , Chen Qi , Gao Faqing , Jiang Nan , Qi Pengjia , Tong Jijun 
Published: November 2023

AbstractVariable supply clustered voltage scaling (VS‐CVS) is an effective way to decrease power consumption without compromising performance. One of the major challenges in VS‐CVS design is that level converting flip‐flops (LCFFs) not only need to have low power consumption but also high performance. In this paper, we propose two new structures of LCFF: the data branch sharing LCFF based on conditional charging (DBS‐LCFFCC) and the data branch sharing LCFF based on precharging (DBS‐LCFFP). The new structures adopt a data branch sharing scheme to improve the speed of the circuit as well as to reduce the number of transistors. Based on simulation results using HSPICE with PTM 32‐nm CMOS technology, the proposed LCFFs show an improvement of 19.2–67.2% and 41.6–76.3% in power‐delay‐product (PDP) at 50% data switching activity, respectively, compared to other advanced LCFFs.
Secretory carcinoma of parotid gland masquerading as acinic cell carcinoma on cytology: Case report and review of literature
Authors: Anju G. , Rao Meenakshi , Nalwa Aasma , Poonia Dharma Ram 
Published: November 2023

AbstractSecretory carcinoma is a relatively recently discovered low‐grade salivary gland carcinoma with morphological similarities to its breast counterpart. The histopathological features of this entity are well established; however, the cytomorphological features are not well evaluated, leading to diagnostic challenges and pitfalls. We report a case of secretory carcinoma (SC) of the parotid gland, which was misdiagnosed as acinic cell carcinoma (ACC) on fine‐needle aspiration cytology, to describe the cytological features.
Equivocal support for the climate variability hypothesis within a Neotropical bird assemblage
Authors: Pollock Henry S. , Rutt Cameron L. , Cooper William Justin , Brawn Jeffrey D. , Cheviron Zachary A. , Luther David A. 
Published: November 2023

AbstractThe climate variability hypothesis posits that an organism's exposure to temperature variability determines the breadth of its thermal tolerance and has become an important framework for understanding variation in species' susceptibilities to climate change. For example, ectotherms from more thermally stable environments tend to have narrower thermal tolerances and greater sensitivity to projected climate warming. Among endotherms, however, the relationship between climate variability and thermal physiology is less clear, particularly with regard to microclimate variation—small‐scale differences within or between habitats. To address this gap, we explored associations between two sources of temperature variation (habitat type and vertical forest stratum) and (1) thermal physiological traits and (2) temperature sensitivity metrics within a diverse assemblage of Neotropical birds (n = 89 species). We used long‐term temperature data to establish that daily temperature regimes in open habitats and forest canopy were both hotter and more variable than those in the forest interior and forest understory, respectively. Despite these differences in temperature regime, however, we found little evidence that species' thermal physiological traits or temperature sensitivity varied in association with either habitat type or vertical stratum. Our findings provide two novel and important insights. First, and in contrast to the supporting empirical evidence from ectotherms, the thermal physiology of birds at our study site appears to be largely decoupled from local temperature variation, providing equivocal support for the climate variability hypothesis in endotherms. Second, we found no evidence that the thermal physiology of understory forest birds differed from that of canopy or open‐habitat species—an oft‐invoked, yet previously untested, mechanism for why these species are so vulnerable to environmental change.
Exploring the applications and security threats of Internet of Thing in the cloud computing paradigm: A comprehensive study on the cloud of things
Authors: Nag Anindya , Hassan Md. Mehedi , Das Ayontika , Sinha Anurag , Chand Nisarga , Kar Anwesha , Sharma Vandana , Alkhayyat Ahmed 
Published: November 2023

AbstractThe term “Internet of Things” (IoT) represents a vast interconnected network comprising ordinary objects enhanced with electronics like sensors, actuators, and wireless connectivity. These augmentations enable seamless communication and data sharing among devices. IoT constitutes an ecosystem of programs, systems, and technologies that operate across diverse communication services. In our rapidly evolving world, cutting‐edge technologies are swiftly gaining prominence. IoT, in particular, strives to proliferate innovative applications, programs, and communication amalgamating the virtual and physical realms. The bedrock of this communication is the machine‐to‐machine communication paradigm. IoT encompasses a spectrum of technologies encompassing smart vehicles, efficient vehicle parking management systems, and roadway‐embedded sensors, culminating in the vision of a “smart city.” Such integration has the potential to alleviate traffic congestion and curb energy consumption. The impact of IoT extends to power generation and business operations, promising transformative outcomes. Furthermore, the synergy between IoT and cloud computing plays a pivotal role in the wireless communication domain. This paper offers a comprehensive insight into IoT's functionalities and underscores the associated security threats. The study aims to equip academia with an enhanced understanding of diverse IoT applications, particularly their integration with cloud computing, referred to as the “Cloud of Things.”
Incidence and complications of hypothyroidism postlaryngectomy: A systematic review and meta‐analysis
Authors: Banyi Norbert , Kwon Jamie J. Y. , Turkdogan Sena , Milner Thomas D. , Prisman Eitan 
Published: November 2023

AbstractBackgroundHypothyroidism is common postlaryngectomy and is associated with laryngectomy‐specific complications. The objective of this study is to determine the incidence and predictors of hypothyroidism postlaryngectomy and its associated complications.MethodsSystematic review, data extraction, and meta‐analyses were performed following the PRISMA protocol. Six databases were searched for studies reporting on postlaryngectomy thyroid status with incidence, risk factors, management, or complications.ResultsFifty‐one studies with 6333 patients were included. The pooled incidence of postlaryngectomy hypothyroidism is 49% (CI 42%–57%). Subgroup analysis showed postlaryngectomy hypothyroidism rates significantly correlated with hemithyroidectomy and radiotherapy. Patients who underwent laryngectomy, hemithyroidectomy, and radiotherapy had a 65% (CI 59%–71%) rate of hypothyroidism; laryngectomy and hemithyroidectomy 46% (CI 33%–60%); laryngectomy and radiotherapy 26% (CI 19%–35%); and laryngectomy alone 11% (CI 4%–27%) (p < 0.001).ConclusionsLaryngectomized patients with partial thyroidectomy or radiation therapy are at significant risk of postoperative hypothyroidism. Evidence‐based protocols for early detection and (prophylactic) treatment should be established.
Cancer‐related fatigue: Towards a more targeted approach based on classification by biomarkers and psychological factors
Authors: Schmidt Martina E. , Maurer Tabea , Behrens Sabine , Seibold Petra , Obi Nadia , Chang‐Claude Jenny , Steindorf Karen 
Published: November 2023

AbstractCancer‐related fatigue is a frequent, burdensome and often insufficiently treated symptom. A more targeted treatment of fatigue is urgently needed. Therefore, we examined biomarkers and clinical factors to identify fatigue subtypes with potentially different pathophysiologies. The study population comprised disease‐free breast cancer survivors of a German population‐based case‐control study who were re‐assessed on average 6 (FU1, n = 1871) and 11 years (FU2, n = 1295) after diagnosis. At FU1 and FU2, we assessed fatigue with the 20‐item multidimensional Fatigue Assessment Questionnaire and further factors by structured telephone‐interviews. Serum samples collected at FU1 were analyzed for IL‐1ß, IL‐2, IL‐4, IL‐6, IL‐10, TNF‐a, GM‐CSF, IL‐5, VEGF‐A, SAA, CRP, VCAM‐1, ICAM‐1, leptin, adiponectin and resistin. Exploratory cluster analyses among survivors with fatigue at FU1 and no history of depression yielded three clusters (CL1, CL2 and CL3). CL1 (n = 195) on average had high levels of TNF‐α, IL1‐β, IL‐6, resistin, VEGF‐A and GM‐CSF, and showed high BMI and pain levels. Fatigue in CL1 manifested rather in physical dimensions. Contrarily, CL2 (n = 78) was characterized by high leptin level and had highest cognitive fatigue. CL3 (n = 318) did not show any prominent characteristics. Fatigued survivors with a history of depression (n = 214) had significantly higher physical, emotional and cognitive fatigue and showed significantly less amelioration of fatigue from FU1 to FU2 than survivors without depression. In conclusion, from the broad phenotype “cancer‐related fatigue” we were able to delineate subgroups characterized by biomarkers or history of depression. Future investigations may take these subtypes into account, ultimately enabling a better targeted therapy of fatigue.
Survival outcomes of 2018 FIGO stage IIIC versus stages IIIA and IIIB in cervical cancer: A systematic review with meta‐analysis
Authors: Zhang Ying , Wang Changhe , Zhao Zeyi , Cheng Lei , Xu Shuai , Xie Pengmu , Xie Lin , Zhang Shiqian 
Published: November 2023

AbstractObjectiveTo assess the difference in survival outcomes between stage IIIC and stages IIIA and IIIB in the 2018 FIGO cervical cancer staging system.MethodsThe PubMed, EMBASE, MEDLINE and Web of Science were searched for articles published from November 1, 2018 to January 31, 2023. Articles published in English were considered. The included studies compared the survival outcomes of patients with cervical cancer in FIGO 2018 stage IIIC with those in stages IIIA and IIIB. Studies focused on rare histopathological types were excluded. The statistical analyses were performed using Stata 17 software. The endpoints were overall survival (OS) and progression‐free survival (PFS).ResultsTen retrospective cohort studies were eligible, involving 2113 (6.2%), 9812 (28.6%), 44 (0.1%), 10 171 (29.7%), 11 677 (34.1%) and 445 (1.3%) patients in stage IIIA, IIIB, IIIA&B, IIIC, IIIC1, and IIIC2, respectively. In the OS group, stage IIIC/C1 was significantly associated with superior survival compared with stage IIIA (hazard risk [HR] 0.62, 95% confidence interval [CI] 0.41–0.93, P = 0.022; I2 = 92.9%) and stage IIIB(A&B) (HR 0.56, 95% CI 0.44–0.71, P < 0.001; I2 = 94.0%). The FIGO 2018 stage IIIC2 was not associated with an increased mortality risk compared with stage IIIA and stage IIIB(A&B). In the PFS group, the outcome of FIGO 2018 stage IIIC/C1 was similar to stage IIIA (HR 0.66, 95% CI 0.27–1.64, P = 0.371; I2 = 65.6%), but better than stage IIIB(A&B) (HR 0.75, 95% CI 0.68–0.83, P < 0.001; I2 = 0.0%). The FIGO 2018 stage IIIC2 has similar PFS outcomes to stage IIIA and stage IIIB(A&B).ConclusionOur findings demonstrate that survival outcomes of stage IIIC are no worse than those of stage IIIA and stage IIIB in the 2018 FIGO cervical cancer staging system. In cervical cancer, FIGO 2018 stage IIIC1 has significantly better OS outcomes than stage IIIA and stage IIIB.
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI
Authors: Zhao Xin , Wang Tongming , Chen Jingsong , Jiang Bingrun , Li Haotian , Zhang Nan , Yang Guang , Chai Senchun 
Published: November 2023

AbstractContrastive learning, as an unsupervised technique, is widely employed in image segmentation to enhance segmentation performance even when working with small labeled datasets. However, generating positive and negative data pairs for medical image segmentation poses a challenge due to the presence of similar tissues and organs across different slices in datasets. To tackle this issue, we propose a novel contrastive learning strategy that leverages the relative position differences between image slices. Additionally, we combine global and local features to address this problem effectively. In order to enhance segmentation accuracy and reduce isolated mis‐segmented regions, we employ a two‐dimensional fully connected conditional random field for iterative optimization of the segmentation results. With only 10 labeled samples, our proposed method is able to achieve average dice scores of 0.876 and 0.899 on the public and private dataset heart segmentation tasks, surpassing the PCL method's 0.801 and 0.852. Experimental results on both public and private MRI datasets demonstrate that our proposed method yields significant improvements in medical segmentation tasks with limited annotated samples, outperforming existing semi‐supervised and self‐supervised techniques.
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification
Authors: Aggarwal Meenakshi , Khullar Vikas , Goyal Nitin , Rastogi Rashi , Singh Aman , Torres Vanessa Yelamos , Albahar Marwan Ali 
Published: November 2023

AbstractCorrect identification of tumor in brain images is critical for treatment. In the medical domain, class distributions of recorded data could differ with locations and require high levels of privacy while collaboratively training the deep learning (DL) models for classifications. The main aim of this paper is to propose a privacy‐preserving collaborative model for the classification of brain tumor in heterogeneously distributed magnetic resonance imaging (MRI) images. In this paper, initially, an open‐source dataset has been acquired and analyzed as per the required competencies. The acquired dataset has four types of MRI images: pituitary tumor, meningioma tumor, glioma tumor, and no tumor. First, the acquired dataset was analyzed using DL and transfer learning algorithms. By applying implementations of basic algorithms, better algorithms were identified for further implementations in a federated learning ecosystem. DenseNet201‐based transfer learning was identified as a better neural network and further utilized for collaborative transfer learning implementations. Here, the paper also focused on developing a suitable system for a heterogeneous distributed tumor database. Heterogeneous data were converted from the available data by applying nonidentical data distribution. The study discovered that the federated DL models, involving multiple clients, exhibited superior performance compared to conventional pretrained models. The proposed framework possesses distinctive characteristics that distinguish it from existing classification methods for brain tumor identification, particularly in terms of ensuring data privacy for edge devices with limited resources. Due to these additional features, the framework stands as the optimal alternative solution for early diagnosis of brain tumor.
Assessment of student pharmacist‐led academic detailing on independent community pharmacy naloxone orders
Authors: Franko Thomas S. , Yencha Bryce , Sayre Jamie 
Published: November 2023

AbstractIntroductionAcademic detailing has been used as a preferential method to increase pharmacists' awareness of naloxone; however, its impact on actual dispensing rates is not well established.ObjectiveThe aim of this pilot study is to determine if a student‐led academic detailing on naloxone use and communication increased the amount of naloxone ordered from independent pharmacies in various geographic settings throughout Northeast Pennsylvania.MethodsThirty‐nine independent pharmacies which utilized a single wholesaler were randomized to receive an in‐person, student‐led training about naloxone use and communication. Students attended a train‐the‐trainer presentation to ensure a universal training was provided to all pharmacies. Students were provided with intranasal naloxone demonstration devices, handouts on effective communication, and talking points for each pharmacy visit. All academic detailing sessions were held live at each pharmacy during that pharmacy's regular business hours. Topics covered included appropriate naloxone use, what to expect after giving naloxone, and evidence‐based communication methods for engaging with patients about purchasing naloxone. Devices and handouts were left behind for pharmacists to use in daily practice. Naloxone and opioid shipping data for 3 months prior to and 3 months post‐intervention were compared.ResultsNaloxone ordered in the pre‐intervention period was 21 vs. 26 (intervention vs. control) (p = 0.59) and 31 vs. 29 post‐intervention (p = 0.25). There was no statistically significant difference in the number of pharmacies which ordered more naloxone pre vs. post‐intervention or in the total amount of opioids ordered pre vs. post‐intervention.ConclusionWhile pharmacies which received academic detailing did order more naloxone than pharmacies which did not, the difference did not rise to a level of statistical significance. As the population of this pilot study was small, expanding this approach to academic detailing to a larger population is warranted to possibly see more robust results.
Cell adhesion molecule immobilized gold surfaces for enhanced neuron‐electrode interfaces
Authors: Aktas Bengu , Ozgun Alp , Kilickap Begum Devlet , Garipcan Bora 
Published: November 2023

AbstractTo provide a long‐term solution for increasing the biocompatibility of neuroprosthetics, approaches to reduce the side effects of invasive neuro‐implantable devices are still in need of improvement. Physical, chemical, and bioactive design aspects of the biomaterials are proven to be important for providing proper cell‐to‐cell, cell‐to‐material interactions. Particularly, modification of implant surfaces with bioactive cues, especially cell adhesion molecules (CAMs) that capitalize on native neural adhesion mechanisms, are promising candidates in favor of providing efficient interfaces. Within this concept, this study utilized specific CAMs, namely N‐Cadherin (Neural cadherin, N‐Cad) and neural cell adhesion molecule (NCAM), to enhance neuron‐electrode contact by mimicking the cell‐to‐ECM interactions for improving the survival of cells and promoting neurite outgrowth. For this purpose, representative gold electrode surfaces were modified with N‐Cadherin, NCAM, and the mixture (1:1) of these molecules. Modifications were characterized, and the effect of surface modification on both differentiated and undifferentiated neuroblastoma SH‐SY5Y cell lines were compared. The findings demonstrated the successful modification of these molecules which subsequently exhibited biocompatible properties as evidenced by the cell viability results. In cell culture experiments, the CAMs displayed promising results in promoting neurite outgrowth compared to conventional poly‐l‐lysine coated surfaces, especially NCAM and N‐Cad/NCAM modified surfaces clearly showed significant improvement. Overall, this optimized approach is expected to provide an insight into the action mechanisms of cells against the local environment and advance processes for the fabrication of alternative neural interfaces.
The Impact of Whole Egg Consumption on Bone Accrual in Healthy Children: A Randomized Controlled Trial
Authors: Coheley Lauren M. , Yu Mengyun , Chen Xianyan , O'Connor Patrick J. , Kealey Kirk S. , Laing Emma M. , Oshri Assaf , Marand Alicia K. , Lance Julia M. , Kindler Joseph M. , Lewis Richard D. 
Published: November 2023

ABSTRACT
Dietary interventions designed to examine the role of nutrition on childhood bone accrual have often focused on the role of individual micronutrients (eg, calcium, vitamin D, and zinc) and macronutrients (eg, protein). The osteogenic benefits of whole foods, such as eggs, are not well understood despite eggs being a source of high-quality nutrients and bioactive compounds known to positively influence bone. A significant positive cross-sectional association between whole egg consumption and tibia cortical bone mass has recently been shown in young children; however, randomized controlled trials (RCTs) have not been conducted. This study is a double-blind RCT in male and female children ages 9–13 years of different ancestries, designed to determine if consuming food products with whole eggs (equivalent to 8–10 eggs/wk) versus foods with milk or gelatin (placebo) over a 9-month period will improve measures of bone strength. Total body less head (TBLH) and lumbar spine bone mineral content (BMC) and areal bone mineral density (aBMD) were assessed using dual-energy X-ray absorptiometry (DXA). DXA Z-scores were computed using published pediatric growth charts and were adjusted for height-for-age Z-score (HAZ). Mid-tibia cortical volumetric BMD, BMC, cortical area, total bone area, cortical thickness, and strength strain index were measured using peripheral quantitative computed tomography. Overall, there were no significant intervention effects for any bone outcomes. The increase in spine BMCHAZ Z-score in the egg group versus the gelatin group approached significance (p = 0.07). Significant time effects in TBLH aBMDHAZ Z-score occurred as all groups decreased over 9 months (p &lt; 0.03). Most tibia cortical bone outcomes increased over time (all p &lt; 0.02), but changes did not differ across intervention groups. Whole eggs provide important nutritional benefits for children, but the bone responses to consumption of 8–10 eggs/wk over a period of 9 months in children entering the early stages of puberty were small. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Unraveling pnicogen bonding cooperativity: Insights from molecular electrostatic potential analysis
Authors: Krishnapriya Vilakkathala U. , Suresh Cherumuttathu H. 
Published: November 2023

AbstractA theoretical investigation on the cooperativity of a series of binary, ternary, and quaternary complexes interconnected by pnicogen bonds has been conducted using calculations at the M06‐2X/aug‐cc‐pVTZ level of density functional theory. By measuring changes in the molecular electrostatic potential (MESP) at the nucleus of interacting atoms in all of the complexes, it is possible to quantify the substantial reorganization of the electron density triggered by the formation of pnicogen bonds. The positive change in MESP, indicating a loss of electron density from the donor molecule in a dimer, facilitates the acceptance of electron density from a third molecule, resulting in the formation of a ternary complex with a stronger pnicogen bond compared to the one present in the binary complex. Similarly, the acceptor molecule in a dimer with a negative change in MESP showed an enhanced tendency to donate electron density to an electron‐deficient third molecule. The MESP analysis provided valuable insights into the donor/acceptor characteristics of pnicogen bonds within the quaternary complexes. The proposed MESP hypotheses are consistent with the positive cooperativity observed in the pnicogen‐bonded clusters. To quantify the changes in MESP, both at the donor atom (ΔVdonor) and the acceptor atom (ΔVacceptor), for all pnicogen bonds in the cluster, the total change in MESP (ΔΔVn) was measured as ΔΔVn = ∑(ΔVdonor)−∑(ΔVacceptor). Remarkably, ΔΔVn exhibited a strong linear relationship with the sum of the bond energies of the pnicogen bonds in the cluster. This establishes the MESP analysis as a robust approach for understanding the strength and cooperative behavior of pnicogen‐bonded clusters. Additionally, the MESP features provided clear evidence of pnicogen bond formation, further supporting the reliability of this approach.