bluuebunny/crossref_metadata_2025 huggingface dataset:
Distinct bacterial signature in the raw coal with different heating value
Authors: Zou Haijiang , Tian Miaomiao , Xu Jianmin , Li Guowei , Chen Hui , Yang Junjun , Ling Pengtao , Shen Zhenxing , Guo Siyu
Published: September 2024

Introduction

Coal represents a significant natural resource in our world, and its quality and commercial value is primarily determined by its heating capacity. Numerous scientists worldwide have attempted to explore the impact of various environmental factors on coal rank, yet their conclusions are often inconsistent.

Methods

In this study, the Illumina MiSeq sequencing approach was used to analyze the bacterial community from a low-rank coal mine as well as a high-rank mine. Moreover, we investigated the relationship between the physical and chemical properties of the coal and the bacterial composition.

Results

Overall, we found that the high-rank coal exhibited higher heating value but higher total sulfur and lead levels. Considering the community of bacteria, the abundances of Phascolarctobacterium and Anaerostipes were highly elevated in the high-rank coal group. Most interestingly, the Anaerostipes abundance was correlated with coal quality positively. Additionally, the co-occurrence network of the bacterial community in the high-rank coal group showed much higher complexity. The bacterial functional potential predictions indicated elevated levels of phosphoenolpyruvate carboxykinase ATP, succinate dehydrogenase fumarate reductase flavoprotein subunit, and methylenetetrahydrofolate dehydrogenase NADP methenyltetrahydrofolate cyclohydrolase pathways.

Conclusion

This study revealed that high-rank coal had more complicated co-occurrence network and elevated Anaerostipes abundance, which may suggest a potential biological pathway that can be explored to enhance coal quality.
LncSTPred: a predictive model of lncRNA subcellular localization and decipherment of the biological determinants influencing localization
Authors: Hu Si-Le , Chen Ying-Li , Zhang Lu-Qiang , Bai Hui , Yang Jia-Hong , Li Qian-Zhong
Published: September 2024

Introduction

Long non-coding RNAs (lncRNAs) play crucial roles in genetic markers, genome rearrangement, chromatin modifications, and other biological processes. Increasing evidence suggests that lncRNA functions are closely related to their subcellular localization. However, the distribution of lncRNAs in different subcellular localizations is imbalanced. The number of lncRNAs located in the nucleus is more than ten times that in the exosome.

Methods

In this study, we propose a new oversampling method to construct a predictive dataset and develop a predictive model called LncSTPred. This model improves the Adaboost algorithm for subcellular localization prediction using 3-mer, 3-RF sequence, and minimum free energy structure features.

Results and Discussion

By using our improved Adaboost algorithm, better prediction accuracy for lncRNA subcellular localization was obtained. In addition, we evaluated feature importance by using the F-score and analyzed the influence of highly relevant features on lncRNAs. Our study shows that the ANA features may be a key factor for predicting lncRNA subcellular localization, which correlates with the composition of stems and loops in the secondary structure of lncRNAs.
Parkinson’s disease motor intervention patterns: a network meta-analysis based on patient motor function
Authors: Zhao Hongfei , Zhang Li , Yang Jingling , Guo Wanru , Sun Chunyang , Shi Runbo , Wang Zhen
Published: September 2024

Background

Parkinson’s disease is characterized by symptoms such as bradykinesia and rigidity, which worsen as the disease progresses, significantly impacting patients’ independence and quality of life. This study utilizes a network meta-analysis approach to quantify information gathered from randomized controlled trials (RCTs) regarding motor interventions that effectively improve the motor function of Parkinson’s disease patients, aiming to provide evidence for selecting appropriate exercise intervention strategies for patients.

Methods

A systematic search strategy for randomized controlled trials (RCTs) restricted to English was constructed based on multiple biomedical databases. Databases searched included PubMed, Embase, Cochrane, Web of Science, CINAHL, CBM, China National Knowledge Infrastructure (CNKI), Wan fang, VIP, etc., with searches conducted from inception to July 9, 2023. Two authors screened all studies, extracted data, and used frequency domain analysis methods. Network meta-analysis was performed using STATA software version 18.0 to compare and rank exercises that could effectively improve the motor function of Parkinson’s disease patients (measured by indicators such as MDS-UPDRS-III, TUG, BBS, Mini-BES Test, 6MWT scores). Additionally, a series of analyses and evaluations were conducted, such as assessing the methodological quality of included studies using the Cochrane risk of bias tool.

Results

The network meta-analysis included a total of 111 studies involving 5,358 participants, 133 intervention experiments, and 31 intervention measures. Although most exercise interventions showed effectiveness, cumulative ranking curves under the surface (SUCRA) values showed that archery exercise significantly improved patients’ MDS-UPDRS-III scores (SUCRA = 95.6%), significantly superior to routine care [standardized mean difference (SMD = 16.92, 95%CI = −28.97, −4.87)]. High-intensity and agility exercise (High strength and agility) referred to as high-intensity exercise or agility training or a combination of both, collectively termed as high-intensity agility training, significantly improved patients’ completion time for the time-up-and-go test (SUCRA = 99.7%), (SMD = −7.88, 95%CI = −9.47, −6.28). Dance and Tai Chi exercises significantly improved patients’ balance abilities: Mini-Balance Evaluation Systems Test (SUCRA = 77.9%), (SMD = 5.25, 95%CI = −0.42, 10.92) for dance intervention and Berg Balance Scale (SUCRA = 94.7%), (SMD = 11.22, 95%CI = 3.26, 19.18) for Tai Chi intervention. Dance also significantly improved patients’ walking ability in the 6-min walk test (SUCRA = 80.5%), (SMD = 71.31, 95%CI = 13.77, 128.84).

Conclusion

Compared to other exercises, archery, dance, Tai Chi, and high-intensity agility exercises demonstrate superior efficacy in improving the motor function of Parkinson’s disease patients.
Improvement in diagnostic-therapeutic care pathways for women with migraine: an Italian Delphi panel
Authors: Cevoli Sabina , Barbanti Piero , Finocchi Cinzia , Benedan Laura , Mariani Paolo , Orthmann Nicoletta , Bauleo Salvatore , Brusa Paola , Cianci Dorella , Marozio Luca , Masseroni Sara , Sangermani Roberto , Frediani Fabio , Allais Gianni
Published: September 2024

Background

Migraine is a highly underestimated and burdensome disease. Real-world studies evidence that migraine is more frequent and severe in women than men. However, to this day, no diagnostic-therapeutic pathways exist to satisfy the specific needs of female patients.

Methods

In this study, migraine experts, specialists in women’s health, patient, and decision makers, analyzed the diagnostic and therapeutic options for women with migraine across various ages and health conditions within the Italian healthcare system. A Delphi approach was used to formulate statements and achieve a consensus.

Results

Gaps in clinical practice were identified, and strategies to accommodate women’s needs were proposed. The experts agreed that a socio-behavioral intervention should be planned before any pharmacological treatment in pediatric/adolescent female patients and that the assessment of migraine with aura is considered crucial for adult women requiring contraceptive therapy. Acupuncture emerged as an effective treatment for pregnant and breastfeeding women, and hormone-replacement therapy selection in menopausal patients requires careful consideration to mitigate safety risks. The experts highlighted the absence of literature and guidelines for the management of migraine in women undergoing assisted reproductive procedures or oncological treatment. In light of these observations, the experts advocated the establishment of multidisciplinary collaborations between neurologists/headache specialists and other healthcare professionals, including general practitioners, pediatricians, gynecologists, and oncologists. Comprehensive migraine education for all healthcare professionals potentially involved in managing the disease, including pharmacists, was emphasized. Efforts to increase migraine awareness among women should be prioritized.

Conclusion

The insights gained from this Italian consensus study should serve to develop an improved, female-specific pathway to diagnose and treat migraine.
What do we learn from impurities and disorder in high-Tc cuprates?
Authors: Alloul Henri
Published: September 2024

A series of experimental studies established that the differing morphologies of the phase diagrams versus hole doping nh of the various cuprate families are mostly controlled by defects and disorder. In the minimally disordered cuprate Yttrium Baryum Copper Oxide (YBCO) we introduced controlled detfects that allowed us to probe the metallic and superconducting states. We demonstrate that the extent of the spin glass phase and the superconducting dome can be controlled by the concentration of spinless (Zn, Li) impurities substituted on the planar Cu sites. NMR frequency shift measurements establish that these defects induce, in their vicinity, a cloud with a Kondo-like paramagnetic behavior. Its “Kondo” temperature and spatial extent differ markedly between the pseudogap and strange metal regimes. We have performed transport measurements on single crystals with a controlled content of in-plane vacancies introduced by electron irradiation. At high T, the inelastic scattering of the carriers has been found independent of disorder and completely governed by the excitations of the correlated electronic state. The low T upturns in the resistivity associated with single-site Kondo-like scattering are qualitatively in agreement with local magnetism induced by spinless impurities. The apparent metal insulator crossover is only detected for a very large defect content, and part of the large resistivity upturn remains connected with Kondo-like paramagnetism. In the superconducting state, the defect-induced reduction of Tc scales linearly with the increase in residual resistivity induced by disorder. High-field magnetoresistance experiments permit us to determine the paraconductivity due to superconducting fluctuations. The latter vanishes beyond a temperature T’c and a field H’c that both decrease with increasing in-plane defect content. In the pseudogap regime, the weaker decrease of T’c with respect to that of Tc reveals a large loss of superconducting phase coherence in the presence of disorder. In light of our experimental results, we initiate a discussion of its interplay with pair breaking. Our data also permit us to confirm that the differing phase diagrams are due to competing orders or disorders that are family-specific. In the ideal phase diagram of a disorder-free cuprate, 2D superconductivity should persist at low doping. This ensemble of experimental results provides serious challenges for the theoretical understanding of superconductivity in these correlated electron systems.
The impact of accent stigma on self-efficacy and acculturation strategy among international students in the United States
Authors: Yan Xiaodi
Published: September 2024

Introduction

This paper aimed to understand international students’ experience of accent stigma during interpersonal interactions, and how it affected their self-efficacy and acculturation strategy during intercultural adjustment.

Methods

Study 1 conducted in-depth interviews with 15 international students (60% female, 21.6 years old on average), asking for narratives on how they perceived accent stigma was enacted in everyday scenarios. Study 2 distributed a survey to 132 international students (53.5% female, 25.52 years old on average) with scales measuring perceived accent stigma, perceived discrimination, perceived hate, fear, self-efficacy, and integration into the host culture.

Results

Based on thematic analysis, Study 1 identified verbal disapproval, verbal avoidance, nonverbal disapproval, and nonverbal avoidance as four behavioral markers that signal the enactment of accent stigma during interpersonal interactions. Study 2 assessed a path model and found that accent stigma was associated with more perceived discrimination, perceived hate, and fear. Accent stigma also had negative impacts on self-efficacy, which in turn, resulted in poor integration into the host culture.

Conclusion

This study examined the negative consequences of accent stigma on international students and highlighted the role of self-efficacy during international students’ intercultural adjustment. Findings had important theoretical and practical implications in terms of better supporting and serving international students during their stressful transitional period in a new culture
What else is new about social media influencers? Uncovering their relation and content strategies, and the downsides of being famous
Authors: Lou Chen , Zhou Xuan
Published: September 2024

Prior research on social media influencers (SMIs) often examined questions such as their model of communication with followers, ethical concerns, motivations, and ways of gaining capital. How influencers curate intense and intimate relations and strategize their content creation, and how the influencer industry takes a toll on their physical and psychological wellbeing should be carefully addressed. To fill in this gap, we conducted in-depth interviews with 20 SMIs. The findings advance the literature on influencers and influencer advertising by explicating the ways through which influencers maintain intimate and engaged relations with followers, including providing value, creating emotional bond, interacting and co-creating with followers, and disclosing personal life. Second, this research identifies and theorizes four principles – authenticity, topic sensitivity, fact-checking, and strategic sharing of privacy – under which influencers strategize content creations in building human brands. Last, our findings add to the ongoing literature on digital labor by expounding the downsides of influencers being digital labor. This research contributes to the understudied aspect regarding influencers’ wellbeing and strategies employed in content creation and relation management in the current influencer literature.
The effect of subjective understanding on patients’ trust in AI pharmacy intravenous admixture services
Authors: Gong Yongzhi , Tang Xiaofei , Peng Haoyu
Published: September 2024

Introduction

Medical services are getting automated and intelligent. An emerging medical service is the AI pharmacy intravenous admixture service (PIVAS) that prepares infusions through robots. However, patients may distrust these robots. Therefore, this study aims to investigate the psychological mechanism of patients’ trust in AI PIVAS.

Methods

We conducted one field study and four experimental studies to test our hypotheses. Study 1 and 2 investigated patients’ trust of AI PIVAS. Study 3 and 4 examined the effect of subjective understanding on trust in AI PIVAS. Study 5 examined the moderating effect of informed consent.

Results

The results indicated that patients’ reluctance to trust AI PIVAS (Studies 1–2) stems from their lack of subjective understanding (Study 3). Particularly, patients have an illusion of understanding humans and difficulty in understanding AI (Study 4). In addition, informed consent emerges as a moderating factor, which improves patients’ subjective understanding of AI PIVAS, thereby increasing their trust (Study 5).

Discussion

The study contributes to the literature on algorithm aversion and cognitive psychology by providing insights into the mechanisms and boundary conditions of trust in the context of AI PIVAS. Findings suggest that medical service providers should explain the criteria or process to improve patients’ subjective understanding of medical AI, thus increasing the trust in algorithm-based services.
People with higher systemizing traits have wider right hands
Authors: Chen Na , Hidaka Souta , Ishii Naomi , Wada Makoto
Published: September 2024

Introduction

Various genetic mutations have been implicated in autism spectrum disorder (ASD). Some candidate genes for ASD are known to be related to signal transduction and may be involved in hand development as well as neurodevelopment. Therefore, although subtle, anatomical variations in hand configurations may be observed in individuals with ASD. However, except for research on the finger ratio, which has been suggested to be related to prenatal sex hormone exposure, only few studies have been conducted. Given the spectrum characteristics of ASD, we explored whether hand configurations are associated with ASD-related traits in the general population.

Methods

Photographs of the dorsal surface of each hand were obtained, and the distances between the metacarpophalangeal joints and finger lengths were measured. The Autism Spectrum Quotient, Empathy Quotient, and Systemizing Quotient were used to evaluate ASD-related traits.

Results

We found a significant positive correlation between the aspect ratio of the right hand and the Systemizing Quotient score: individuals with a larger width relative to the finger length showed more systemizing traits.

Discussion

These findings suggest that gene polymorphisms or prenatal sex hormone exposure may underlie the relationship between systemizing traits and hand configurations.
Understanding the societal dilemma of genetically modified food consumption: a stimulus-organism-response investigation
Authors: Hui Xu , Amponsah Randy Kwaku , Antwi Samuel , Gbolonyo Patrick Kweku , Ameyaw Moses Agyemang , Bentum-Micah Geoffrey , Adjei Edward Oppong
Published: September 2024

Consumer worries about their health and the environment are drawing attention to the usage of genetically modified food on a global scale. The study aims to provide fresh insight into how consumers view GM foods and how they plan to respond to them. Data were collected from Chinese consumers, who are at the advanced stage of GM food, and Ghanaians, who are at the early stage of GM food. The data were analyzed using Smart PLS, R-Studio, and SPSS. Based on a valid response from nine hundred and seventy-six (976) respondents across the two countries, the results demonstrate the dynamics of GM acceptance among consumers and provide valuable insights for policymakers and businesses in the GM foods industry. Our research adds up to the relatively fewer studies which have addressed GM food consumption likelihood from consumers across different stage of GM food readiness.
Clinical features and outcomes of retroperitoneal unicentric Castleman disease resected as sarcomas: insights from a high-volume sarcoma center
Authors: Gao Haicheng , Li Wenjie , Zou Boyuan , Liu Shibo , Miao Chengli
Published: September 2024

Background

Castleman disease (CD) is a rare lymphoproliferative disorder that can occur anywhere along the lymphatic pathway. Retroperitoneal unicentric Castleman disease (UCD) is an extremely rare manifestation. This study aims to explore the clinical features and surgical treatment of retroperitoneal UCD.

Methods

We retrospectively reviewed patients who underwent retroperitoneal tumor surgery and were diagnosed with CD based on postoperative pathology before December 31, 2022. Data from these patients were collected and analyzed.

Results

A total of 15 patients were included in the final analysis. All patients underwent radical resection under general anesthesia. Two out of 15 patients (13.3%) experienced serious complications but recovered well. There were no perioperative deaths. The median follow-up time was 78.5 months (range: 18–107.5 months), and no deaths or recurrences occurred during this period.

Conclusions

Surgical treatment for retroperitoneal UCD is safe. Patients with retroperitoneal UCD can achieve long-time survival through complete resection.
Minimizing the Density of Switch–Controller Latencies over Total Latency for Software-Defined Networks
Authors: Viveros Andres , Adasme Pablo , Dehghan Firoozabadi Ali , San Juan Enrique
Published: September 2024

This study examines the problem of minimizing the amount and distribution of time delays or latencies experienced by data as they travel from one point to another within a software-defined network (SDN). For this purpose, a model is proposed that seeks to represent the minimization of the distances between network switches in proportion to the total nodes in a network. The highlights of this study are the proposal of two mixed-integer quadratic models from a fractional initial version. The first is obtained by transforming (from the original fractional model) the objective function into equivalent constraints. The second one is obtained by splitting each term of the fraction with an additional variable. The two developed models have a relationship between switches and controllers with quadratic terms. For this reason, an algorithm is proposed that can solve these problems in a shorter CPU time than the proposed models. In the development of this research work, we used real benchmarks and randomly generated networks, which were to be solved by all the proposed models. In addition, a few additional random networks that are larger in size were considered to better evaluate the performance of the proposed algorithm. All these instances are evaluated for different density scenarios. More precisely, we impose a constraint on the number of controllers for each network. All tests were performed using our models and the computational power of the Gurobi solver to find the optimal solutions for most of the instances. To the best of our knowledge, this work represents a novel mathematical representation of the latency density management problem in an SDN to measure the efficiency of the network. A detailed analysis of the test results shows that the effectiveness of the proposed models is closely related to the size of the studied networks. Furthermore, it can be noticed that the performance of the second model compared to the first one presents better behavior in terms of CPU times, the optimal solutions obtained, and the reduced Mipgaps obtained using the solver. These findings provide a deep understanding of how the models operate and how the optimization dynamics contribute to improving the efficiency and performance of SDNs.
Research on the Methods for Correcting Helicopter Position on Deck Using a Carrier Robot
Authors: Zhong Yuhang , Zhao Dingxuan , Zhao Xiaolong
Published: September 2024

When the landing position of a shipborne helicopter on the deck does not meet the requirements for towing it into the hangar, its position must first be corrected before towing can proceed. This paper studied the methods for using Shipborne Rapid Carrier Robots (SRCRs) to correct helicopter positions on the deck and proposed two correction methods, the stepwise correction method and the continuous correction method, aiming to improve the efficiency of the position adjustment process. Firstly, the actual helicopter landing position deviation was divided into two components—lateral offset and fuselage yaw angle—to quantitatively assess the deviations. Then, a mathematical model of the SRCR traction system was established, and its traction motion characteristics were analyzed. The kinematic characteristics and control processes of the two proposed position correction methods were subsequently studied, revealing the coordinated control relationships between key control elements. Finally, simulations were conducted to validate the feasibility of the proposed correction methods and compare their efficiencies. The results indicated that both the stepwise and continuous correction methods effectively achieved the position correction objectives. The stepwise method was more efficient when the initial yaw angle was small, while the continuous method proved more efficient when the initial yaw angle was large and the lateral offset was minimal. The results of this study may provide a valuable reference for correcting the positions of helicopters on deck.
Intelligent Procurement Scheduling System for Items Involving Public Procurement
Authors: Muniswamy Nadanakumar , Palanisamy Parthiban
Published: September 2024

The procurement of goods is considered a critical part in supply chain management, and it often has several unprecedented barriers leading to failure of the project. Uncertainties in availability, cost and demand-supply matching combined with stringent government norms andprocurement policies of various organizations need a thorough study in the present-day environment to develop sustainable and lean supplychain management. In this paper, use of a fuzzy logic system to estimate the tender finalization period of engineering items that involve public procurement is discussed. The tender finalization period is normally based on key parameters, such as criticality of the requirement of an item for the project, the number of variants available in a supply, competition amongst bidders, frequency of buying the item and the tender value. The methodology to arrive at the membership functions of the key parameters and the logic used to arrive at the tender finalization period estimation are well discussed in this paper. The proposed fuzzy logic approach was applied to an industrial case and the results show good agreement between expert opinion and the fuzzy logic system output. This paper will definitely help procurement managers in any organization to plan their activities in an effective manner.
Miscanthus-Derived Biochar as a Platform for the Production of Fillers for the Improvement of Mechanical and Electromagnetic Properties of Epoxy Composites
Authors: Scavuzzo Salvatore , Zecchi Silvia , Cristoforo Giovanni , Rosso Carlo , Torsello Daniele , Ghigo Gianluca , Lavagna Luca , Giorcelli Mauro , Tagliaferro Alberto , Etzi Marco , Bartoli Mattia
Published: September 2024

The production of multipurpose sustainable fillers is a matter of great interest, and biochar can play a pivotal role. Biochar is a biomass-derived carbon source that can act as a versatile platform for the engineering of fillers as neat or functionalized materials. In this work, we investigate the utilization of 800 °C annealed Miscanthus-derived biochar as a filler for the production of epoxy composites with promising mechanical and electrical properties. We also used it in the production of an iron-rich hybrid filler in order to fine-tune the surface and bulk properties. Our main findings reveal that hybrid composites containing 20 wt.% biochar exhibit a 27% increase in Young’s modulus (YM), reaching 1.4 ± 0.1 GPa, while the ultimate tensile strength (UTS) peaks at 30.3 ± 1.8 Mpa with 10 wt.% filler, a 27% improvement over pure epoxy. However, higher filler loadings (20 wt.%) result in decreased UTS and maximum elongation. The optimal toughness of 0.58 ± 0.14 MJ/m³ is observed at 5 wt.% filler content. For organic composites, YM sees a notable increase of 90%, reaching 2.1 ± 0.1 Gpa at 20 wt.%, and UTS improves by 32% with the same filler content. Flexural tests indicate an enhanced elastic modulus but reduced maximum elongation as filler content rises. Electromagnetic evaluations show that hybrid fillers maintain a primarily dielectric behavior with a negligible impact on permittivity, while biochar–epoxy composites exhibit increased conductivity at higher filler loadings, suitable for high-frequency applications. In light of these results, biochar-based fillers demonstrate significant potential for enhancing the mechanical and electrical properties of epoxy composites.
Cutaneous Squamous Cell Carcinoma in Patients with Solid-Organ-Transplant-Associated Immunosuppression
Authors: Khaddour Karam , Murakami Naoka , Ruiz Emily S. , Silk Ann W.
Published: September 2024

The management of advanced cutaneous squamous cell carcinoma (CSCC) has been revolutionized by the introduction of immunotherapy. Yet, successful treatment with immunotherapy relies on an adequate antitumor immune response. Patients who are solid-organ transplant recipients (SOTRs) have a higher incidence of CSCC compared to the general population. This review discusses the current knowledge of epidemiology, pathophysiology, and management of patients with CSCC who are immunocompromised because of their chronic exposure to immunosuppressive medications to prevent allograft rejection. First, we discuss the prognostic impact of immunosuppression in patients with CSCC. Next, we review the risk of CSCC development in immunosuppressed patients due to SOT. In addition, we provide an overview of the biological immune disruption present in transplanted immunosuppressed CSCC patients. We discuss the available evidence on the use of immunotherapy and provide a framework for the management approach with SOTRs with CSCC. Finally, we discuss potential novel approaches that are being investigated for the management of immunosuppressed patients with CSCC.
Analysis of the Performance and Accuracy of a PSA and PSA Ratio-Based Nomogram to Predict the Probability of Prostate Cancer in a Cohort of Patients with PIRADS 3 Findings at Multiparametric Magnetic Resonance Imaging
Authors: Palmisano Franco , Lorusso Vito , Legnani Rebecca , Martorello Vincenzo , Nedbal Carlotta , Tramanzoli Pietro , Marchesotti Federica , Ferraro Simona , Talso Michele , Granata Antonio Maria , Sighinolfi Maria Chiara , Rocco Bernardo , Gregori Andrea
Published: September 2024

Background: PIRADS score 3 represents a challenge in prostate cancer (PCa) detection with MRI. Our study aimed to evaluate the application of a nomogram on a cohort of patients with PIRADS 3. Methods: We analyzed 286 patients undergoing fusion prostate biopsy from January 2020 to February 2024. Only PIRADS 3 patients were included. Two nomograms, previously developed and based on clinical variables such as age, total PSA (specifically 2–10 ng/mL) and PSA ratio were applied to estimate the probability (Nomograms A and B) for PCa Grade Group (GG) > 3 and GG < 3. Results: Out of the 70 patients available for analysis, 14/70 patients (20%) had PCa, 4/14 were GG 1 (28.6%), 1/14 were GG 2 (7.1%), 5/14 were GG 3 (35.8%), 2/14 were GG 4 (14.3%) and 2/14 were GG 5 (14.3%). The median probability of PCa GG > 3 and GG < 3 was 5% and 33%, respectively. A significant difference (p = 0.033) was found between patients with negative versus positive biopsy for Nomogram B. There was a significant difference (p = 0.029) for Nomogram B comparing patients with GG < 3 and GG > 3. Using a cut-off of 40% for Nomogram B, sensitivity and specificity were 70% and 80%, respectively. Conclusions: This cohort has a low probability of harboring PCa especially ISUP > 3. Nomogram B has good accuracy for discriminating patients with PCa from those with negative biopsy.
Clinical and Histologic Variants of CD8+ Cutaneous T-Cell Lymphomas
Authors: Swallow Madisen A. , Micevic Goran , Zhou Amanda , Carlson Kacie R. , Foss Francine M. , Girardi Michael
Published: September 2024

Although the vast majority of CTCL subtypes are of the CD4+ T-helper cell differentiation phenotype, there is a spectrum of CD8+ variants that manifest wide-ranging clinical, histologic, and phenotypic features that inform the classification of the disease. CD8, like CD4, and cytotoxic molecules (including TIA and granzyme) are readily detectable via IHC staining of tissue and, when expressed on the phenotypically abnormal T-cell population, can help distinguish specific CTCL subtypes. Nonetheless, given that the histopathologic differential for CD8+ lymphoproliferative disorders and lymphomas may range from very indolent lymphomatoid papulosis (LyP) to aggressive entities like CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma (AECTCL), CD8 and/or cytotoxic molecule expression alone is insufficient for diagnosis and is not in itself an indicator of prognosis. We present a review of CTCL subtypes that can demonstrate CD8 positivity: CD8+ mycosis fungoides (MF), LyP type D, subcutaneous panniculitis-like T-cell lymphoma (SPTCL), primary cutaneous gamma/delta T-cell lymphoma (PCGDTL), CD8+ AECTCL, and acral CD8+ T-cell lymphoproliferative disorder (acral CD8+ TCLPD). These diseases may have different clinical manifestations and distinctive treatment algorithms. Due to the rare nature of these diseases, it is imperative to integrate clinical, histologic, and immunohistochemical findings to determine an accurate diagnosis and an appropriate treatment plan.
Preparation and Application of Stabilizing Agents for Solidification of Heavy Metal-Contaminated Soil under Low-Temperature Conditions
Authors: Chen Yuntao , Wang Jiannan , Gao Zhongshuai , Cui Mei , Huang Renliang
Published: September 2024

Stabilization/solidification (S/S) is an effective method used to reduce the leaching of heavy metals from soils, which is a serious environmental problem when soil is contaminated with heavy metals. In this study, a new stabilizing agent consisting of acetate-ethylene copolymer emulsion (VAE)-hydrated calcium silicate-polycarboxylate (V-CSH-PCE), water-soluble thiourea-formaldehyde (WTF) resins, cement, and fly ash was prepared for the solidification of heavy metal-contaminated soil under low-temperature conditions. The results showed that the agents significantly enhanced the compressive properties of the soil. When 10% cement, 8% fly ash, 1.5% V-CSH-PCE, and 0.5% WTF were added, the compressive strength of the subsoil after 1 day of curing was 0.3755 MPa, which was nearly 12 times higher compared with a blank sample. Meanwhile, the leaching concentrations of Cu2+, Zn2+, Pb2+, and Cr3+ in the substrate were 2.52, 1.12, 1.32, and 0.51 mg/L, respectively, which were lower than the leaching standard of “Hazardous Waste Identification Standard Leaching Toxicity Identification (GB 5085.3-2007)”. In addition, the compressive strength of the soil after 1 day of curing at a low temperature (4 °C) was 0.2915 MPa, which was 30.9% higher compared with the soil without the V-CSH-PCE. The results showed that the cement-fly ash-(V-CSH-PCE)-WTF mixture has good application prospects in improving the compressive strength of soil and stabilizing heavy metal ions.
Ultra-Processed Foods and Nutritional Intake of Children and Adolescents from Cantagalo, São Tomé and Príncipe
Authors: Morais Rita , Rodrigues Mónica , Ferreira Francisca , Barros Renata , Padrão Patrícia , Ortigão Madalena , Tavares Maria , Moreira Pedro
Published: September 2024

Background: Globally, dietary patterns are shifting toward an increased consumption of ultra-processed foods, raising the risk of some metabolic and nutritional diseases from a young age. This trend is now also affecting low- and middle-income countries. Considering this, we aimed to assess the contribution of ultra-processed foods to total energy intake and their association with the nutritional intake of children and adolescents in Cantagalo, São Tomé and Príncipe. Methods: We conducted a cross-sectional study with a sample of 546 households. Data were collected on anthropometrics, sociodemographic characteristics, and lifestyle, including 24 h food recall questionnaires for children and adolescents. The reported foods were nutritionally assessed and categorized according to the NOVA classification to estimate the contribution of ultra-processed foods. Logistic regression models were used to estimate the magnitude of the associations between higher consumption of ultra-processed foods and nutritional intake, adjusting for confounders. Results: The contribution of ultra-processed foods to daily energy intake was 9.5% for girls and 8.5% for boys. Higher consumption of ultra-processed foods was significantly associated with a lower intake of fiber (OR = 0.932; 95%CI, 0.872–0.996), vitamin B12 (OR = 0.812; 95%CI, 0.668–0.985), and zinc (OR = 0.443; 95%CI, 0.308–0.639) and a higher intake of iron (OR = 1.479; 95%CI, 1.065–2.055) and sodium (OR = 1.001; 95%CI, 1.000–1.001), after adjusting for confounders. Conclusion: Higher consumption of ultra-processed foods was especially associated with a lower intake of fiber, vitamin B12, and zinc, and with a higher intake of iron.
Some Aspects of the Effects of Dry Friction Discontinuities on the Behaviour of Dynamic Systems
Authors: Alaci Stelian , Lupascu Costica , Romanu Ionut-Cristian , Cerlinca Delia-Aurora , Ciornei Florina-Carmen
Published: September 2024

Most studies in the literature consider the value of the coefficient of dynamic friction to be constant. We studied the evolution of a dynamic system when the coefficient of friction results in different values depending on the contact surfaces. A system with four balls fixed on an aluminium plate was driven with constant velocity into motion on the coaxial races of two identical outer bearing rings. The assembly presents a motion with periodic variable amplitude between two extremes, a fact that suggests the presence of a periodical excitation. The test was repeated, but this time, new bodies were used, which were two identical bodies made of two balls rigidised via a short cylindrical rod. When the rings were driven into rotational motion, the two bodies performed different motions; if the bodies were inter-changed, the differences between the motions remained. The rings were analysed, and a small region on the race of one ring was observed, where the roughness was considerably greater than the rest of the surface. Then, a mathematical model for the dynamic system with different friction coefficients was proposed and solved. This model is capable of simulating different situations, such as oscillatory motion and circular motion, with or without separation of the contacting bodies. Here, we present a dynamic model with Hertzian contact points in the presence of dry friction, with the coefficient of friction changing suddenly on the contacting surfaces.
Anatomy and Relationships of a New Gray Whale from the Pliocene of Piedmont, Northwestern Italy
Authors: Bisconti Michelangelo , Damarco Piero , Marengo Lorenza , Macagno Mattia , Daniello Riccardo , Pavia Marco , Carnevale Giorgio
Published: September 2024

A new fossil gray whale genus and species, Glaucobalaena inopinata, is established based on craniomandibular remains from the Pliocene Sabbie d’Asti Formation, Piedmont, northwestern Italy. The holotype (MGPT-PU 19512) consists of two cranial fragments corresponding to the posterolateral corners of the skull, including both partial periotics, and in the posterior portion of the right mandibular ramus preserving the condyle and angular process. The new taxon is characterized by gray whale (eschrichtiid) synapomorphies in the posterior portion of the mandible (dorsally raised mandibular condyle with articular surface faced dorsoposteriorly, well-developed and robust angular process of the mandible) and in the earbone (massive transverse elongation of the pars cochlearis, indistinct flange of the ventrolateral tuberosity, and triangular and short anterior process of the periotic). A CT scan of the cranial fragments allowed us to reconstruct tridimensional renderings of the periotic, revealing the dorsal morphology of this bone. A phylogenetic analysis confirmed the inclusion of Glaucobalaena inopinata within Eschrichtiidae (the family to whom gray whales are included) and showed that it is monophyletic with Gricetoides aurorae; our phylogenetic results show that Eschrichtioides gastaldii is the sister group of the genus Eschrichtius. Our work lends further support to the idea that Eschrichtiidae is a separate family of baleen whales, characterized by specialized ecomorphological characters evident in both skull and mandibular architecture.
A Stability Control Method to Maintain Synchronization Stability of Wind Generation under Weak Grid
Authors: Wu Minhai , Zeng Jun , Ying Gengning , Xu Jidong , Yang Shuangfei , Zhou Yuebin , Liu Junfeng
Published: September 2024

When wind generation systems operate under weak grid conditions, synchronization stability issues may arise, restricting the wind farms’ power transfer capacity. This paper aims to address these challenges on the grid side. Firstly, a clear exposition of the coupling mechanism between the grid-connected inverters (GCI) of wind generations and the weak grid is provided. Then, an equivalent parallel compensation method integrated into the PLL to enhance synchronization stability is proposed. The method changes the reference of the PLL and equivalently parallels the virtual resistance with the grid impedance, which alters the strength of the grid. It reshapes the inverter qq-axis impedance at the impedance level. And the proper design of the virtual resistance will enhance the system’s stability without compromising the dynamic performance of PLL. In addition, the proposed method is robust to the parameter changes of the grid-connected system and the grid impedance measurement error. Experimental results are presented to validate the effectiveness of the compensation method.
Review of Classification of PCMs, with a Focus on the Search for New, Suitable PCM Candidates
Authors: Mehling Harald
Published: September 2024

With a growing number of PCMs and new, suitable PCM candidates, an overview is not only important, but also increasingly complex. Classification of PCM was thus changed significantly in the past decades. A review of classification of PCMs from recent years shows that not only different classification criteria are used, but more important that they are often mixed, used inconsistently, even without a clear goal. Focusing on the main goal of current classification schemes, to give an overview of the material options for the search for new, suitable PCM candidates, including already established PCMs, a consistent classification is developed in a desktop study. For this, first, the general options for classification criteria are reviewed, and then the appropriate ones selected. Then, based on them a new, revised PCM classification is suggested. It is specifically detailed with regard to mixtures; for binary mixtures it is based on a literature review performed within the study. The result also stresses the importance of specific R&D: for pure substances the sources and the chemical modification, and for mixtures their optimization by new compositions, additives, etc.
Optimization Study of a Tuned Mass Damper for a Large Monopile Wind Turbine
Authors: Luan Zhimeng , Dou Peilin , Chen Yulin , Zhang Huizhong , Ku Yihang
Published: September 2024

Passively tuned mass dampers (TMDs) are known to effectively mitigate the vibration of wind turbines. However, existing literature predominantly examines their application in damping vibrations of the tower or platform, overlooking the potential benefits of installing TMDs on the turbine blades themselves. This study investigates the impact of wind and wave loads on TMD damping effectiveness and proposes a comprehensive damping strategy involving TMDs installed in both the nacelle and the blades. The design optimized the mass and stiffness of these TMDs to enhance their performance. Results indicate that, as wind speeds increased from 12 m/s to 24 m/s, the power spectral density at the tower’s natural frequency (0.22 Hz) more than doubled. Notably, TMDs exhibited robust vibration damping capabilities under high wind speeds. Specifically, at wind speeds of 24 m/s, TMDs reduced anterior–posterior and lateral displacement at the tower top by 61.2% and 166.8%, respectively, when two TMDs were combined. Conversely, the study found that TMDs did not significantly improve vibration damping at lower to moderate wind speeds. This research underscores the importance of optimizing TMDs for high wind conditions to ensure wind turbine stability and mitigate potential vibration-related risks effectively under varying environmental loads, including wind and waves. It offers valuable insights for the refined design and deployment of TMDs in wind energy applications.
WebTraceSense—A Framework for the Visualization of User Log Interactions
Authors: Paulino Dennis , Netto André Thiago , Brito Walkir A. T. , Paredes Hugo
Published: September 2024

The current surge in the deployment of web applications underscores the need to consider users’ individual preferences in order to enhance their experience. In response to this, an innovative approach is emerging that focuses on the detailed analysis of interaction data captured by web browsers. These data, which includes metrics such as the number of mouse clicks, keystrokes, and navigation patterns, offer insights into user behavior and preferences. By leveraging this information, developers can achieve a higher degree of personalization in web applications, particularly in the context of interactive elements such as online games. This paper presents the WebTraceSense project, which aims to pioneer this approach by developing a framework that encompasses a backend and frontend, advanced visualization modules, a DevOps cycle, and the integration of AI and statistical methods. The backend of this framework will be responsible for securely collecting, storing, and processing vast amounts of interaction data from various websites. The frontend will provide a user-friendly interface that allows developers to easily access and utilize the platform’s capabilities. One of the key components of this framework is the visualization modules, which will enable developers to monitor, analyze, and interpret user interactions in real time, facilitating more informed decisions about user interface design and functionality. Furthermore, the WebTraceSense framework incorporates a DevOps cycle to ensure continuous integration and delivery, thereby promoting agile development practices and enhancing the overall efficiency of the development process. Moreover, the integration of AI methods and statistical techniques will be a cornerstone of this framework. By applying machine learning algorithms and statistical analysis, the platform will not only personalize user experiences based on historical interaction data but also infer new user behaviors and predict future preferences. In order to validate the proposed components, a case study was conducted which demonstrated the usefulness of the WebTraceSense framework in the creation of visualizations based on an existing dataset.
Air Pollution and Climate Change: A Pilot Study to Investigate Citizens’ Perception
Authors: Stanisci Ilaria , Sarno Giuseppe , Curzio Olivia , Maio Sara , Angino Anna Antonietta , Silvi Patrizia , Cori Liliana , Viegi Giovanni , Baldacci Sandra
Published: September 2024

Air pollution and climate change are risk factors for noncommunicable diseases of paramount importance and of major concern in a population. Their complex interaction suggests the need for an integrated and participatory approach by health professionals and citizens. During the Italian BRIGHT-NIGHT (European Researchers’ Night) at the Pisa Research Campus of National Research Council (CNR), a laboratory focusing on environmental epidemiology issues and open to the public was set up. A self-administered questionnaire was distributed, with the aim of investigating the individual perception, knowledge, opinions and attitudes in relation to 12 different environmental, natural and anthropogenic hazards. The questionnaire was completed by 44 subjects aged over 18 years (47.6% female, 56.8% university graduates, 61.4% employed). Air pollution and climate change were considered two priorities for environmental protection and public health by 72.1%, prompting about one third of the subjects to commit to increasing active commuting. The results of this pilot survey indicate a diffuse awareness of air pollution and climate change as main environmental determinants to be tackled in order to protect public health.