bluuebunny/crossref_metadata_2025 huggingface dataset:
Contribution of physiological dynamics in predicting major depressive disorder severity
Authors: Pagès Esther García , Kontaxis Spyridon , Siddi Sara , Miguel Mar Posadas‐de , de la Cámara Concepción , Bernal Maria Luisa , Ribeiro Thais Castro , Laguna Pablo , Badiella Llorenç , Bailón Raquel , Haro Josep Maria , Aguiló Jordi
Published: November 2024

This study aimed to explore the physiological dynamics of cognitive stress in patients with Major Depressive Disorder (MDD) and design a multiparametric model for objectively measuring severity of depression. Physiological signal recordings from 40 MDD patients and 40 healthy controls were collected in a baseline stage, in a stress‐inducing stage using two cognitive tests, and in the recovery period. Several features were extracted from electrocardiography, photoplethysmography, electrodermal activity, respiration, and temperature. Differences between values of these features under different conditions were used as indexes of autonomic reactivity and recovery. Finally, a linear model was designed to assess MDD severity, using the Beck Depression Inventory scores as the outcome variable. The performance of this model was assessed using the MDD condition as the response variable. General physiological hyporeactivity and poor recovery from stress predict depression severity across all physiological signals except for respiration. The model to predict depression severity included gender, body mass index, cognitive scores, and mean heart rate recovery, and achieved an accuracy of 78%, a sensitivity of 97% and a specificity of 59%. There is an observed correlation between the behavior of the autonomic nervous system, assessed through physiological signals analysis, and depression severity. Our findings demonstrated that decreased autonomic reactivity and recovery are linked with an increased level of depression. Quantifying the stress response together with a cognitive evaluation and personalization variables may facilitate a more precise diagnosis and monitoring of depression, enabling the tailoring of therapeutic interventions to individual patient needs.
Good luck or bad luck? The influence of social comparison on risk‐taking decision and the underlying neural mechanism
Authors: Peng Ming , Shi Yuanyuan , Tang Rui , Yang Xiaoying , Yang Huicong , Cai Mengfei , Gu Ruolei , Li Xu
Published: November 2024

The present study aimed to investigate the impact of social comparison on risk‐taking behaviors and the neural underpinnings within a competitive context. Participants who thought they were playing against a stranger in a gambling task were actually playing against a programmed computer. Eighty‐eight college students were assigned to one of three comparison conditions (downward, upward, and parallel) by varying the probability of gain. Behavioral results showed that disadvantage led to increased risk‐taking. Event‐related potential data analyses showed, in the parallel comparison condition, a significantly larger Feedback‐Related Negativity (FRN) was induced by the self's safe decision than the risky decision and by loss rather than gain. However, in the upward and downward comparison conditions, larger FRN emerged solely in response to the loss of risky rather than safe decisions. On the P3 component, participants in the upward comparison condition showed no significant difference in response to their gain or loss, while the other two conditions did. The highest P3 amplitude, delta/theta power, and aperiodic activity were found in the closely matched condition. Finally, in the downward comparison condition, a stronger delta/theta power was correlated with a less risky decision. Overall, the findings indicate that parity heightens emotional arousal and engages more cognitive resources.
A Novel Decomposition Framework for Agricultural Growth Accounting: A Global Supply Chain Perspective
Authors: Chen Xiaodong
Published: November 2024

In this article, we delve into the traditionally opaque total factor productivity (TFP) “black box” by dissecting it into its constituent elements—technology and efficiency—based on input–output variables from a global supply chain vantage point. Utilizing growth accounting methods, the article seeks to discern the variety of routes through which technology (frontier movement) and efficiency (catch‐up effects) propagate their effects on TFP. Our primary objective is to identify the most potent mechanism for fostering productivity enhancement, a task that previously eluded systematic examination. The methodology involves creating an empirical approximation of the agricultural production frontier from a selection of national data. Bounded‐adjusted linear programming techniques are subsequently employed to disentangle the observed TFP growth within the agricultural sector of each country into its technology and efficiency facets. It is important to note that this study also integrates resource and environmental footprints as additional input–output variables, quantified via the multi‐region input–output (MRIO) model. The analysis, spanning from 2000 to 2016, reveals that the most advanced nations demonstrate the most vigorous growth in agricultural productivity, with a global upward trend in agricultural productivity over the sampled years.
SceneKG: A Geo‐Scene Based Spatiotemporal Knowledge Representation Framework Considering Geo‐Processes
Authors: He Yufeng , Huang Yi , Sheng Yehua , Su Xianben , Zhou Songshan , Lei Shaohua , Wang Xin , Xia Yongqi , Chen Yixiang , Shen Zhenhong , Tao Lizhi , Li Weihao , Gu Huaqi , Lin Hui
Published: November 2024

Current geographic knowledge graph research mainly focuses on static knowledge coupling through analysis of web text and maps, but its knowledge expression model fails to incorporate knowledge mechanisms such as process evolution and interactions. The geo‐scene is a synthesis of various geographic elements which prescribes spatial, temporal, semantic, attribute, and interrelationships. It has demonstrated its utility in facilitating geocomputation, spatiotemporal simulation and reasoning related to geo‐process. Therefore, developing a geo‐scene‐based knowledge graph is significant to improve the ability of spatiotemporal knowledge representation and service. In this study, we first analyze the basic characteristics of geo‐scenes and try to emphasize the evolution of geo‐scenes through redefining the ontologies ‘event’, ‘process’ and ‘state’. To describe the dynamic nested structure of geo‐scenes, we propose a geo‐scene knowledge representation framework, and illustrate the representation of a geo‐scene and its inner relationships. Moreover, to keep the integrity, interaction and dynamic of geo‐scenes, we develop a event‐process centered geo‐scene knowledge organization method. Furthermore, we have tested the utility of our proposed representation by the Beijing 731 heavy rainstorm. The case study represents heavy rainstorm to demonstrate the complicated structure of the disaster scene, and the support for precipitation process simulation, early warning information organization, and disaster situation information query. The proposed representation provides an idea for the construction of geo‐dynamic knowledge graphs, encodes both static and dynamic geographic knowledge, makes explicit the evolution and interaction knowledge in geo‐scenes, and expands the application service of geo‐scene knowledge graph in the era of GeoAI.
Growing beyond trade: Export shocks and the spatial expansions of bank branching
Authors: Li Jie , Lu Angdi
Published: November 2024

This paper empirically examines the impact of tariff reductions for exporters on banks' location choices with geo‐referenced information on subsidiaries and branches of China's state‐owned and joint‐stock banks. We construct prefecture‐level tariff barrier changes faced by exporters from 2001 to 2007 and identify the impact by exploiting within‐bank cross‐prefecture changes in bank branching patterns. The empirical results suggest a positive and significant pass‐through from export expansion to banks' geographic expansion. Specifically, a 10% export tariff reduction would induce a 1.88% increase in the local number of bank branches. This result holds under a battery of robustness tests. Mechanism tests suggest that increased credit demand in the corporate sector, both at the intensive and extensive margins, is the main channels that explain the baseline patterns. The findings in this paper offer valuable insights into the relationship between internationalisation and financial development.
Ultrasound Assessment of Pleural Effusions After Orthotopic Pig‐to‐Baboon Cardiac Xenotransplantation
Authors: Bender Martin , Radan Julia , Reichart Bruno , Leuschen Maria , Wall Felicia , Mokelke Maren , Neumann Elisabeth , Buttgereit Ines , Ayares David , Wolf Eckhard , Brenner Paolo , Abicht Jan‐Michael , Längin Matthias
Published: November 2024

Background

Pleural effusions develop frequently after cardiac surgery in humans. Lung ultrasound is an essential non‐invasive tool in the diagnosis and treatment of these effusions. Pleural effusions also develop regularly after preclinical cardiac xenotransplantation experiments. Unlike in the human setting, modern ultrasound devices lack pre‐installed tools for calculating the volume of pleural effusions in baboons. The aim of this study was to analyze ultrasound examinations of pleural effusions after orthotopic pig‐to‐baboon cardiac xenotransplantation experiments in order to develop a formula for calculating the effusion volume based on ultrasound measurements.

Methods

Hearts from seven genetically modified (GGTA1‐KO, hCD46/hTBM transgenic) juvenile pigs were orthotopically transplanted into male baboons. Postoperatively, the baboons were tested regularly for the development of pleural effusions using ultrasound. When thoracocentesis was required, the drained effusion volume (EV) was compared to ultrasound‐derived calculations using various formulas. These calculations were based on measuring the distance between lung and diaphragm at the effusions’ maximum height (Hmax). Subsequently, the most promising formula was used to describe the interobserver variability between trained and untrained staff members to predict effusion volumes based on ultrasound measurements.

Results

Ultrasound measurement correlated very strongly with the absolute EV (r = 0.9156, p < 0.0001), with EV indexed to total body weight (r = 0.9344, p < 0.0001) and with EV indexed to body surface area (BSA) (r = 0.9394, p < 0.0001). The ratio between Hmax and EV increased with total body weight and BSA and also depended on the baboon species. The sonographic measurements taken by an experienced and an inexperienced observer showed only low interobserver variability. A Bland–Altman plot of both observers’ measurements showed an overall bias of –2.39%.

Conclusion

Ultrasound imaging provides a simple and non‐invasive tool for measuring pleural effusion quantity in baboons. This facilitates simple and efficient monitoring even in the hands of untrained personnel and may guide the decision‐making to perform thoracocentesis.
Modified analytical model for predicting the nonlinear acoustic characteristics of perforated sound-absorption structures at high sound pressures
Authors: Chen Wenjiong , Wang Yipu , Liu Shutian
Published: November 2024

This paper presents a modified model for predicting the nonlinear acoustic characteristics of a microperforated plate at high sound pressure levels with increased accuracy of PARK Model. Based on PARK Model, the acoustic impedance of the cavity behind the plate is taken into account in the equivalent circuit to adjust the velocity in the perforations. The modified model was compared with the previous model to verify its accuracy at high sound pressure levels. Furthermore, to establish that the proposed model also has higher accuracy when considering perforated structures with complex cavities, a four-unit coupled structure (FUCS) composed of four coiled-up space channels was constructed. A finite-element model was used to verify the accuracy of our proposed model. This confirmed that our model calculates the sound-absorption coefficient and average particle velocity in the microholes more accurately than several other models at 155 dB. Experimental assessments of the sound-absorption performance of the FUCS within the 300–1900 Hz range confirmed the accuracy of the model. When considering perforated sound-absorption structures at high sound pressure levels, this model is more accurate than PARK's Model and, therefore, has potential application value in relation to the extreme noise fields experienced in aerospace applications.
Mixing Enthalpy Estimation for CsX–PbX2 Melts (X = Cl, Br) by Differential Scanning Calorimetry
Authors: Tsvetkov D. S. , Malyshkin D. A. , Mazurin M. O. , Sereda V. V. , Zuev A. Yu.
Published: November 2024

A comparatively simple method for estimating the mixing enthalpy of melts by differential scanning calorimetry using standard equipment is proposed. The enthalpies of mixing of CsX–PbX2 (X = Cl, Br) melts are determined by this method. The measured values of mixing enthalpy in the CsCl–PbCl2 system are in good agreement with those obtained by means of independent measurements. For the CsBr–PbBr2 system, the enthalpy of mixing was measured for the first time. The similar values of mixing enthalpy were found for both studied systems.
Morphine treatment restricts response to immunotherapy in oral squamous cell carcinoma
Authors: McIlvried Lisa A , Martel Matos Andre A , Yuan Mona M , Atherton Megan A , Obuekwe Fendi , Nilsen Marci L , Nikpoor Amin Reza , Talbot Sebastien , Bruno Tullia C , Taggart David N , Johnson Lorin K , Ferris Robert L , P Zandberg Dan , Scheff Nicole N
Published: November 2024

Background

Immune checkpoint inhibitors (ICIs) are becoming the standard of care for recurrent and metastatic cancer. Opioids, the primary treatment for cancer-related pain, are immunosuppressive raising concerns about their potential to interfere with the efficacy of ICIs. We hypothesize that exogenous opioids given for analgesia suppress antitumor immunity via T cell-mediated mu opioid receptor 1 (OPRM1) signaling.

Methods

In silico bioinformatics were used to assess OPRM1 receptor expression on tumor-infiltrating immune cells in patients with head and neck squamous cell carcinoma (HNSCC) and across different cancer types. A syngeneic orthotopic mouse model of oral squamous cell carcinoma was used to study the impact of morphine and OPRM1 antagonism on tumor-infiltrating immune cells, tumor growth and antitumor efficacy of anti-Programmed cell death protein 1 (PD-1) monoclonal antibody treatment.

Results

In patients with HNSCC, OPRM1 expression was most abundant in CD8+ T cells, particularly in patients who had not been prescribed opioids prior to resection and exhibited increased expression of exhaustion markers. Exogenous morphine treatment in tumor-bearing mice reduced CD4+ and CD8+ T-cell infiltration and subsequently anti-PD1 ICI efficacy. Peripherally acting mu opioid receptor antagonism, when administered in the adjunctive setting, was able to block morphine-induced immunosuppression and recover the antitumor efficacy of anti-PD1.

Conclusions

These findings suggest that morphine acts via a peripheral OPRM1-mediated mechanism to suppress CD8+ T cells, thereby fostering a pro-tumor-impaired immune response. Importantly, peripherally-restricted OPRM1 antagonism can effectively block this morphine-induced immunosuppression while still allowing for centrally-mediated analgesia, indicating a potential therapeutic strategy for mitigating the adverse effects of opioid pain relief in cancer treatment.
A phenomenological analysis of LHC neutrino scattering at NLO accuracy matched to parton showers
Authors: van Beekveld Melissa , Ferrario Ravasio Silvia , Groenendijk Eva , Krack Peter , Rojo Juan , Schütze Sánchez Valentina
Published: November 2024

We perform a detailed phenomenological study of high-energy neutrino deep inelastic scattering (DIS) focused on LHC far-forward experiments such as FASER$$\nu $$
ν
and SND@LHC. To this aim, we parametrise the neutrino fluxes reaching these LHC far-forward experiments in terms of ‘neutrino PDFs’ encoding their energy and rapidity dependence by means of the LHAPDF framework. We integrate these neutrino PDFs in the recently developed POWHEG-BOX-RES implementation of neutrino-induced DIS to produce predictions accurate at next-to-leading order (NLO) in the QCD coupling matched to parton showers (PS) with Pythia8. We present NLO+PS predictions for final-state distributions within the acceptance for FASER$$\nu $$
ν
and SND@LHC as well as for two experiments of the proposed Forward Physics Facility (FPF), FASER$$\nu $$
ν
2 and FLArE. We quantify the impact of NLO QCD corrections, of the parton showering and hadronisation settings in Pythia8, of the QED shower, and of the incoming neutrino flavour for the description of these observables, and compare our predictions with the GENIE neutrino event generator. Our work demonstrates the relevance of modern higher-order event generators to achieve the key scientific targets of the LHC neutrino experiments.
Dynamics of cosmological phase crossover during Bose–Einstein condensation of dark matter in Tsallis cosmology
Authors: Mondal Subhra , Choudhuri Amitava
Published: November 2024

During the cosmic evolution process, as the temperature of a cosmological boson gas falls below a certain threshold, a Bose–Einstein condensation process can occur at various points throughout the cosmic history of the Universe. In this model, dark matter, conceptualized as a non-relativistic, Newtonian gravitational condensate is governed by the Gross–Pitaevskii–Poisson system. In our present study, we investigate the Bose–Einstein condensation process of bosonic DM by treating it as an approximate first-order phase transition within a modified cosmological framework, known as Tsallis cosmology. We examine the evolution of relevant physical quantities characterizing the evolution dynamics of the Universe, including energy density, temperature, redshift, scale factor, Hubble parameter, and dimensionless deceleration parameter before, during, and following the Bose–Einstein condensation phase transition takes place. Additionally, we especially investigate the specific era of the evolution of the Universe characterized by a mixture of normal and condensate phases of dark matter. We analyze the behavior of temporal evolution of an important time-dependent parameter, called the condensate dark matter fraction throughout the condensation process and find the time duration of condensation of dark matter in the Tsallis cosmological model. We see that the presence of Bose–Einstein condensate dark matter in the framework of Tsallis-modified cosmology significantly alters the cosmological evolution of the Universe as compared to the standard model of cosmology. We also find for a typical value of Tsallis non-extensive parameter $$\beta =0.35$$

β
=
0.35

, the model could explain an accelerated Universe without invoking any additional energy component and solve the age problem of our Universe.
Research on Decoration of Tourist Homestays and Hotels Based on Digital Image Network Computing
Authors: Li Li
Published: November 2024

In today’s digital age, the tourism and homestay industry is facing unprecedented opportunities and challenges. With the continuous expansion of the tourism market, tourists’ demands for accommodation experience are becoming increasingly diverse and personalized. Traditional design methods often struggle to quickly respond to these changes, fully showcase regional characteristics, and achieve efficient personalized customization. At the same time, how to integrate modern technology while retaining traditional charm to enhance the attractiveness and comfort of homestays has become an urgent problem to be solved. This paper aims to explore in depth how to use this technological framework to optimize the decoration design of tourist homestays, in order to create living spaces that retain traditional charm and are rich in modern technology. By utilizing digital image network computing technology, it is possible to conduct 3D modeling and virtual simulation of the indoor space of homestays. By simulating different furniture placement and spatial separation schemes, combined with tourist behavior analysis data, the optimal spatial layout scheme is automatically recommended to achieve maximum space utilization and a comfortable living experience. This technology can analyze a large number of color matching cases, combined with the cultural characteristics of the area where the homestay is located, and apply the principles of color psychology to provide personalized color schemes for homestay design. Meanwhile, through style recognition and recommendation algorithms, designers can quickly locate and integrate traditional and modern elements to create unique decorative styles.
Advanced Artificial Intelligence Drivers and IoT Network Systems for Data Collection and Network Transmission in the Industry 5.0 Era
Authors: Yang Chunxia , Tian Huihui , Liu Yanping
Published: November 2024

The primary bases of Industry 5.0, the Internet of Things (IoT), artificial intelligence (AI), and big data (BD) may serve as a basis for applying the concepts of smart manufacturing, innovative goods and services, and predictive maintenance (PDM) into practice. Assessing the remaining useful life of components using failure data and state monitoring information constitutes the AI techniques for predictive maintenance (PDM), which are critical in Industry 5.0. However, it is sometimes challenging to identify the annotation of component usage, creating an open problem for obtaining accurately labeled information and understanding it. This problem needs to be rectified if Industry 5.0 progress is proceeded with. In order to solve the PDM job, this study presents a new data-driven decision system (DDS) based on AI that overcomes the earlier issue. It does by concentrating on an actual industrial use scenario that involves modern processing and monitoring machines. Specifically, the most fundamental components of the recommended DDS include cloud-based storage, data interpretation, predictive modeling, recognition of features using Principal Component Analysis (PCA), and data collecting. An efficient prediction model called the unique moth flame search-tuned light gradient boosting machine (MFS-LGBM) technique is presented in this work. By enabling the ongoing gathering of identified samples and offering a data analysis environment to assist the maintainer/operator, the suggested approach resolves the PDM task. The research findings showed that when compared to the previous approaches, the suggested approach accomplishes the greatest conceivable balance between comprehension, computational effort, and forecasting accuracy in terms of quality estimation. Based on the suggested methodology, the performance is examined in terms of RMSE (600.10), MAE (390.60), [Formula: see text] (0.790) and MAPE (25.70) measures. By incorporating it into the cloud structure, the suggested technique minimizes maintenance expenses and enhances production efficiency by improving machining processes, assisting maintainers, and delivering current operating risk alerts.
Biomass Electrocatalysts: Exploiting Haemoglobin-derived Fe Sites Supported by Waste-derived, S and N-enriched Carbon for Efficient Oxygen Electro-reduction
Authors: Shilpa N. , Wu J.-X. , Waterhouse G. I. N. , Zhu B. , Travas-Sejdic J. , Williams D. E.
Published: November 2024

Biomass resources offer a diverse array of low-cost feedstocks having interesting functional properties for the manufacture of electrocatalysts for the energy sector. In this study, haemoglobin (Hb), lignin, tannic acid and urea were used to make high surface area S, N-codoped carbon electrodes rich in highly dispersed heme-like (Fe-Nx) sites. By pyrolyzing precursor mixtures containing un-purified Hb, lignin, tannic acid and urea, in appropriate mass ratios, a high surface-area S, N-codoped carbon nanostructured electrocatalyst was obtained. The electrocatalyst had surface pyridinic and pyrrolic species together with highly dispersed N-coordinated Fe sites. The developed FeSN/C electrocatalyst exhibited an ORR onset potential of 0.98 V vs. RHE in 0.1 M KOH, a half-wave potential of 0.87 V and a low Tafel slope of 54 mV/dec. This work encourages the design of biomass-derived electrocatalysts for ORR, in particular showing that haemoglobin in bovine blood is suitable for use as an iron source when making Fe-N-C electrocatalysts.
Hydroxyl‐α‐Sanshool Maintains Intestinal Health in Obese Mice Fed a High‐Fat Diet by Activating AMPK Signaling
Authors: Zhu Yuping , Xu Fangyan , Li Bei , Ren Tingyuan
Published: November 2024

To explore the effects of hydroxyl‐α‐sanshool (HAS) administration on the intestinal health of high‐fat diet‐fed mice, mice were separated into a control (CN) group, a model (MC) group, a HAS (8 mg/kg bw) (HD) group, and a HAS (8 mg/kg bw) + Compound C (10 mg/kg·4 d) (HA) group. After 4 weeks of treatment, the mice were fasted for 12 h prior to sacrifice, and autopsy samples were taken for analysis. HAS improved inflammatory and metabolic imbalances by activating AMPK, as shown by biochemical, microbiota composition, and metabolomics analyses. These findings suggest that HAS can maintain intestinal health through AMPK‐mediated amino acid metabolism.
Maize Flour Processing Determines the Fumonisin Intake of South Malawi Residents
Authors: Reinhold Annett , Gessner Anja L. , Scherlach Kirstin , Walther Grit , Nyirenda Saulos , Borkowetz Angelika , Mothes Anke R. , Hertweck Christian , Mothes Henning
Published: November 2024

Maize flour is the staple food in many African countries, which is often contaminated with mycotoxin‐producing fungi. In this study, fungal contamination and the concentrations of fumonisins B1 and B2 in different types of maize flour in Malawi were examined, and the risk of mycotoxicosis, including endemic cancer, development was assessed. Data on the maize flour consumption of 187 Malawians were collected using a self‐generated questionnaire. Fifty‐nine samples of four differently processed types of flour from home‐grown maize were collected and screened for mycotoxins using high‐performance liquid chromatography–mass spectrometry (HPLC‐MS). Fumonisin B1 and B2 concentrations in maize flour and daily individual intakes were quantified by combined accelerated solvent extraction, solid phase extraction, and HPLC‐MS detection. The fumonisin concentrations ranged from 0.00 to 10,306.65 μg/kg maize, with a median concentration of 230.20 μg/kg (interquartile range (IQR), 592.77), and differed significantly among the four flour types. The median daily intake of fumonisins B1 and B2 per kilogram body weight was 3.01 μg (IQR, 6.47) and was significantly greater for deya flour (8.17 μg (IQR, 12.84)) than for mgaiwa flour (3.73 μg (IQR, 6.23); p = 0.046), gramil flour (1.08 μg (IQR, 2.39); p = 0.030), and white flour (1.18 μg (IQR, 2.78); p = 0.002). This intake exceeded the legitimate upper limit in 75% of individuals, by about nine times on average. The reduction of fumonisin intake is crucial to lower the associated disease risk and burden and can be achieved by changing the kernel processing method, improving storage conditions, and introducing sorghum and millet as possible staple food alternatives in Malawi.
Supplementary Figure S8 from Galectin-9 Mediates the Functions of Microglia in the Hypoxic Brain Tumor Microenvironment
Authors: Lee Chanju , Yu Dahee , Kim Hyung-Seok , Kim Ki Sun , Chang Chi Young , Yoon Hee Jung , Won Su Bin , Kim Dae Yeon , Goh Eun Ah , Lee Yong Sun , Park Jong-Bae , Kim Sang Soo , Park Eun Jung
Published: November 2024

Supplementary Fig. S8
Supplementary Figure S21 from Galectin-9 Mediates the Functions of Microglia in the Hypoxic Brain Tumor Microenvironment
Authors: Lee Chanju , Yu Dahee , Kim Hyung-Seok , Kim Ki Sun , Chang Chi Young , Yoon Hee Jung , Won Su Bin , Kim Dae Yeon , Goh Eun Ah , Lee Yong Sun , Park Jong-Bae , Kim Sang Soo , Park Eun Jung
Published: November 2024

Supplementary Fig. S21
Supplementary Figure S20 from Galectin-9 Mediates the Functions of Microglia in the Hypoxic Brain Tumor Microenvironment
Authors: Lee Chanju , Yu Dahee , Kim Hyung-Seok , Kim Ki Sun , Chang Chi Young , Yoon Hee Jung , Won Su Bin , Kim Dae Yeon , Goh Eun Ah , Lee Yong Sun , Park Jong-Bae , Kim Sang Soo , Park Eun Jung
Published: November 2024

Supplementary Fig. S20
Supplementary Figure S17 from Galectin-9 Mediates the Functions of Microglia in the Hypoxic Brain Tumor Microenvironment
Authors: Lee Chanju , Yu Dahee , Kim Hyung-Seok , Kim Ki Sun , Chang Chi Young , Yoon Hee Jung , Won Su Bin , Kim Dae Yeon , Goh Eun Ah , Lee Yong Sun , Park Jong-Bae , Kim Sang Soo , Park Eun Jung
Published: November 2024

Supplementary Fig. S17
Supplementary Figures from PTEN Loss Shapes Macrophage Dynamics in High-Grade Serous Ovarian Carcinoma
Authors: Spear Sarah , Le Saux Olivia , Mirza Hasan B. , Iyer Nayana , Tyson Katie , Grundland Freile Fabio , Walton Josephine B. , Woodman Chloé , Jarvis Sheba , Ennis Darren P. , Aguirre Hernandez Carmen , Xu Yuewei , Spiliopoulou Pavlina , Brenton James D. , Costa-Pereira Ana P. , Cook David P. , Vanderhyden Barbara C. , Keun Hector C. , Triantafyllou Evangelos , Arnold James N. , McNeish Iain A.
Published: November 2024

8 supplementary figures
Supplementary Table S1 from YAP1 Inhibition Induces Phenotype Switching of Cancer-Associated Fibroblasts to Tumor Suppressive in Prostate Cancer
Authors: Song Hongtao , Lu Tong , Han Donghui , Zhang Jiayu , Gan Lunbiao , Xu Chao , Liu Shaojie , Li Peng , Zhang Keying , Hu Zhihao , Li Hongji , Li Yu , Zhao Xiaolong , Zhang Jingliang , Xing Nianzeng , Shi Changhong , Wen Weihong , Yang Fa , Qin Weijun
Published: November 2024

Supplementary Table 1: The clinical information of patients and TMA
Supplementary Table from Hypoxia Stimulates PYGB Enzymatic Activity to Promote Glycogen Metabolism and Cholangiocarcinoma Progression
Authors: Pan Yani , Zhou Yue , Shen Yonghua , Xu Lei , Liu Hongwen , Zhang Nannan , Huang Tianlu , Meng Kui , Liu Yu , Wang Lishan , Bai Ge , Chen Qi , Zhu Yun , Zou Xiaoping , Wang Siliang , Wang Zhangding , Wang Lei
Published: November 2024

Supplementary Table
Supplementary Methods from Hypoxia Stimulates PYGB Enzymatic Activity to Promote Glycogen Metabolism and Cholangiocarcinoma Progression
Authors: Pan Yani , Zhou Yue , Shen Yonghua , Xu Lei , Liu Hongwen , Zhang Nannan , Huang Tianlu , Meng Kui , Liu Yu , Wang Lishan , Bai Ge , Chen Qi , Zhu Yun , Zou Xiaoping , Wang Siliang , Wang Zhangding , Wang Lei
Published: November 2024

Supplementary Methods
Figure S3 from The Neurodevelopmental Protein POGZ Suppresses Metastasis in Triple-Negative Breast Cancer by Attenuating TGFβ Signaling
Authors: Heath John , Mirabelli Caitlynn , Annis Matthew G. , Sabourin Valerie , Hebert Steven , Findlay Steven , Kim HaEun , Witcher Michael , Kleinman Claudia L. , Siegel Peter M. , Orthwein Alexandre , Ursini-Siegel Josie
Published: November 2024

Supplemental Figure 3 with legend
Supplementary Figure 12 from Hypoxia Stimulates PYGB Enzymatic Activity to Promote Glycogen Metabolism and Cholangiocarcinoma Progression
Authors: Pan Yani , Zhou Yue , Shen Yonghua , Xu Lei , Liu Hongwen , Zhang Nannan , Huang Tianlu , Meng Kui , Liu Yu , Wang Lishan , Bai Ge , Chen Qi , Zhu Yun , Zou Xiaoping , Wang Siliang , Wang Zhangding , Wang Lei
Published: November 2024

Carvedilol suppressed the malignancy of CCA.
Supplementary Figure 10 from Hypoxia Stimulates PYGB Enzymatic Activity to Promote Glycogen Metabolism and Cholangiocarcinoma Progression
Authors: Pan Yani , Zhou Yue , Shen Yonghua , Xu Lei , Liu Hongwen , Zhang Nannan , Huang Tianlu , Meng Kui , Liu Yu , Wang Lishan , Bai Ge , Chen Qi , Zhu Yun , Zou Xiaoping , Wang Siliang , Wang Zhangding , Wang Lei
Published: November 2024

Structure of top ten PYGB inhibitors.
Supplementary Figure 1 from DAZAP1 Phase Separation Regulates Mitochondrial Metabolism to Facilitate Invasion and Metastasis of Oral Squamous Cell Carcinoma
Authors: Zhang Jiayi , Ni Zihui , Zhang Yu , Guo Yan , Zhai Rundong , Wang Mengqi , Gong Zizhen , Wang Mengyao , Zeng Fanrui , Gu Ziyue , Chen Qianming , Liu Laikui , Wang Zhiyong , Zhu Weiwen
Published: November 2024

DAZAP1 promotes OSCC cell migration, invasion and EMT progression.
Diurnal Profiles of the Endocrine Stress Response in Internet Gaming Disorder
Authors: Killer Alina , Köck Patrick , Klar Johanna , Lerch Stefan , Koenig Julian , Cavelti Marialuisa , Kindler Jochen , Kaess Michael
Published: November 2024

Background: Differences in subjective stress perception and acute response of the hypothalamic-pituitary-adrenal axis have been reported in internet gaming disorder (IGD). The present study aimed to further investigate alterations in diurnal profiles of the endocrine stress response system in IGD compared to healthy controls (HCs). Methods: The diurnal course of endocrine markers (salivary cortisol and α-amylase) was investigated in a clinical sample of n = 29 adolescents with IGD compared to n = 26 HC. Further, the effect of unrestricted gaming versus restricted gaming was examined within the IGD group. Results: No significant differences in salivary cortisol and α-amylase were observed comparing adolescents with IGD and HC. In addition, in the IGD group, there were no significant differences in salivary cortisol and α-amylase between conditions of unrestricted gaming versus restricted gaming. Compared to the HC group, the IGD group showed a significantly higher body mass index. Conclusions: Our results indicate no alteration in diurnal profiles of the endocrine stress response in IGD.
The Impact of Balloon Use during Endobronchial Ultrasound: A Randomized Pilot Study
Authors: Huseini Taha , DeMaio Andrew , Yarmus Lonny , Pollock Clare , Katz Amit , Nasir Basil , Majid Adnan , Soder Stephan , Liberman Moishe
Published: November 2024

Introduction: During endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA), a saline-filled balloon placed over the tip of the bronchoscope is used to improve coupling of the ultrasound transducer to the airway wall. However, it is unknown whether it objectively improves image quality or affects procedural outcomes. Our aim was to establish whether the use of a balloon during EBUS impacts image quality, diagnostic yield, procedure duration or complications. Methods: A pilot randomized control trial of patients undergoing EBUS-TBNA of mediastinal lymph nodes was performed at a single academic center. Patients were randomized to use a saline-filled balloon (versus no balloon use) during EBUS-TBNA of the right lower paratracheal lymph node (station 4R). The EBUS videos were recorded and scored on a 4-point Likert scale by three blinded external reviewers. The primary outcome of this study was ultrasound image quality. Secondary outcomes included diagnostic yield, procedure duration, and complications. Results: Forty-six patients were randomized. In the balloon group, 61% of patients had an image quality score of “excellent” or “good,” compared to 47% in the no balloon group (p = 0.009). There was no significant difference in diagnostic yield, procedure duration, or complications between the groups. Conclusion: Inflation of the balloon during EBUS-TBNA at the right lower paratracheal lymph node improves ultrasound image quality but does not impact diagnostic yield, procedure duration, or safety. This study provides a framework for additional studies with complete nodal assessment to determine if balloon use has a clinically meaningful benefit to procedural outcomes.
Prevalence of Chronic Kidney Disease among Diagnosed and Undiagnosed Hypertensive Individuals in the General Population of the Northern Region of Senegal
Authors: Ndongo Modou , Dia Amadou Diop , Geoffroy Audrey , Diaw Mor , Ba Diop Awa , Gaye Bamba , Seck Sidy Mohamed
Published: November 2024

Introduction: Chronic kidney disease (CKD) is closely linked to high blood pressure (HBP), which is its leading cause in developing countries. Hypertension affects 1.2 billion people worldwide. However, a significant portion of individuals with HBP are undiagnosed, and their kidney function is even less known. The objective of this study was to determine the prevalence and associated factors of CKD among three sub-groups of blood pressure status (normotensive, diagnosed hypertension, and undiagnosed hypertension) individuals. Patients and Methods: We conducted a cross-sectional study in the general population of three northern regions in Senegal using a two-level cluster sampling method. The sample was constituted with a precision of 5% and a power of 80%, with an additional 10% attrition margin. Individuals aged 18–80 years were included in the study after consent. Pregnant women, hospitalized persons within the past 3 months, patients with general or urinary symptoms within the past 7 days and individuals undergoing renal replacement therapy were excluded. Investigators collected clinical and biological data at participants’ homes using a modified version of the WHO’s STEPwise questionnaire. Samples were collected for biochemical analysis (serum creatinine, lipid profile, and blood sugar). Estimated glomerular filtration rate was calculated using the CKD-EPI 2021 formula. Results: A total of 2,441 participants were included in the study with a mean age of 45.4 ± 16.0 years and a sex ratio M/F of 0.4. The overall prevalence of HBP and CKD were, respectively, 52.0% and 17.8%. Three out of every five hypertensive patients were undiagnosed. CKD was more frequent among known hypertensive patients (30.5%) compared to individuals with undiagnosed hypertension (19.1%) and normotensive individuals (10.9%). Multivariate analysis showed that CKD was associated with older age and female sex. Conclusion: Undiagnosed hypertension is common among populations in northern Senegal. A high prevalence of CKD was found among both diagnosed and undiagnosed individuals with hypertension. Extending strategies for early detection and management in the general population could help prevent or reduce morbidity and mortality associated with CKD.
Rising Prevalence of Multiple Sclerosis in Switzerland - Results from the Swiss Multiple Sclerosis Registry
Authors: Iaquinto Stefania , Chan Andrew , Manjaly Zina-Mary , Stanikić Mina , Ineichen Benjamin Victor , Kuhle Jens , Haag Christina , Müller Jannis , Yaldizli Özgür , Kamm Christian Philipp , Calabrese Pasquale , Zecca Chiara , Magnusson Tomas , Ammann Sabin , Kesselring Jürg , Baum Claudia , Kaminski Miriam , Puhan Milo Alan , von Wyl Viktor ,   on behalf of the Swiss Multiple Sclerosis Registry (SMSR)
Published: November 2024

Introduction: Understanding the prevalence of multiple sclerosis (MS) provides information for healthcare planning and helps identify trends and patterns of disease occurrence. For Switzerland, the number of persons with MS (pwMS) was last estimated at approximately 15,000 in 2016. The study’s objectives are to update estimates of MS prevalence and characterise the change in MS prevalence in Switzerland between 2016 and 2021, the last year with complete administrative data.

Methods: The Swiss MS Registry (SMSR) is an ongoing, longitudinal study in Switzerland. It has previously established a methodology to assess the epidemiology of MS in Switzerland by integrating SMSR data with administrative data on reimbursement approvals for disease-modifying therapies (DMTs). Subsequently, the benchmark-multiplier method is applied to the combined data. Using the same methodology, we calculated overall and sex- and age-specific prevalence rates for 2021. Furthermore, we descriptively analysed changes since 2016 by comparing the prevalence figures and demographic and clinical characteristics of pwMS in both years.

Results: We estimated the population of pwMS in Switzerland at 18,140 [95% simulation interval 17,550-18,750], corresponding to a period prevalence of 200.8-214.5/100,000 inhabitants. Peak prevalence was observed in the 50 to 55-year age group. Compared to 2016, the 2021 estimate corresponds to a 20% increase (n=3,000). Extrapolating from Swiss population growth, we estimated that one-fifth of the observed prevalence increase may be attributed to a rising population.
The proportion of pwMS in the age range from 50 to 64 (32.5% vs. 35.9%) and above 65 (8.0% vs. 11.1%) years increased. Consequently, the median [interquartile range] age increased from 47 [37-55] to 49 [38-57] years. The median age at diagnosis (36 [28-45] years) and the female-to-male ratio (2.7:1) remained stable since 2016. The proportion of pwMS treated with DMTs increased from 62.1% to 69.0%, with the largest change observed in infusion therapies (15.7% vs. 23.3%).

Conclusion: The estimated MS prevalence in Switzerland has increased since the previous estimate in 2016, with a shift in peak prevalence towards older ages. Population growth explained around one-fifth of this increase, thus leaving room for contributions by additional factors, which require further investigation. The rising MS prevalence has several implications for healthcare, research and society.
Food insecurity in the community: a cross-sectional study in the Portuguese and immigrant population of Amadora
Authors: Raimundo Costa Ana , Hernando Ana , Sousa Joana
Published: November 2024

Introduction: Food insecurity, defined as limited or uncertain access to adequate food, is recognized as a public health problem linked to poor eating habits, chronic diseases, and social inequalities. This study aims to characterize and compare food insecurity status among immigrant and Portuguese populations receiving primary health care in Amadora.
Methods: A cross-sectional study was conducted based on interviews with individuals aged 18 and above, living in Amadora for at least one year. Sociodemographic and health status variables were collected, and food insecurity was assessed using a Portuguese adapted version of the US Department of Agriculture Household Food Security Survey Module. Data analysis included binary logistic regression to explore the predictive capacity of variables, with food insecurity as the outcome.
Results: The estimated prevalence of household food insecurity was 29.7%, with 10.5% classified as severely food insecure. Single individuals (OR 3.090; IC 1.353-7.059), those with basic education (OR 3.296; IC 1.175-9.247); immigrants (OR 4.358; IC 2.206-8.611), households with three or more members (OR 2.686; IC 1.019-7.079), and incomes below €1100 (OR 7.359; IC 2.613-20.726) were more likely to belong to food insecure households. When Portuguese households were analysed, low income (OR 8.730; IC 2.607-29.232) and smoking habits (OR 3.375; IC 1.345-8.469) were found to be potential determinants of food insecurity. As for immigrant households, being single (OR 6.002; IC 1.404-25.659), having a household with three or more members (OR 13.953; IC 2.119-91.887), and low income (OR 7.110; IC 1.257-40.226) increased the risk of food insecurity.
Conclusion: The results of this study show that food insecurity is significantly associated with sociodemographic and health factors, with differences between Portuguese and immigrant populations. Awareness of this problem and the need for monitoring should therefore be raised to prioritize community interventions.
“A morte da porraloca”: Rê Bordosa, tédio existencial e o terrível vírus do mundo moderno
Authors: Moreira Júnior Cristian de Paula Salles
Published: November 2024

As histórias em quadrinhos do artista paulista Angeli, espécie de “rock star” dos anos 1980 e 1990, chegaram a um ponto crucial ao se findar o destino de uma de suas personagens mais famosas. Falamos do assassinato de Rê Bordosa, em fins de 1987. Mas porque Angeli decidiu assassinar sua "galinha dos ovos de ouro"? Como veremos, a morte da personagem tem a ver com uma crise do autor que dialoga com um momento específico da realidade cultural (e política) brasileira: os anos 1980. Rê Bordosa morreu de um vírus poderosíssimo, o tédius matrimonius, símbolo encontrado pelo artista para culpar a verdadeira praga contemporânea: o tédio existencial, a falta de sentido. Neste artigo procuramos abordar o tema, através deste importante produto cultural brasileiro, a partir das suas publicações no jornal Folha de São Paulo e na revista Chiclete com Banana.
Educação Fiscal no Estado de Mato Grosso do Sul: implementação e conscientização por meio de quadrinhos
Authors: Gomes Nataniel dos Santos , Antunes Carlos Roberto
Published: November 2024

A Educação Fiscal no Estado de Mato Grosso do Sul tem sido pauta de discussões recorrentes. Uma iniciativa inovadora que venha para transformar a realidade educacional e cidadã pela implementação efetiva da Educação Fiscal nas escolas por meio das diretrizes da Base Nacional Comum Curricular (BNCC), é muito bem-vinda. A partir dessa perspectiva, este estudo teve como objetivo geral discutir em que medida a implementação da Educação Fiscal na rede de ensino pode ser relevante para o desenvolvimento da conscientização tributária de jovens e adultos, por meio de quadrinhos. Os objetivos específicos deste trabalho consistiram em contextualizar a implementação da Educação Fiscal no Estado de Mato Grosso do Sul e apresentar os resultados alcançados com o Programa Estadual de Educação Fiscal/MS.
Precision Medicine for Cardiovascular Prevention and Population Health: A Bridge Too Far?
Authors: Giugni Fernando R. , Berry Jarett D. , Khera Amit , Shah Amil M. , de Lemos James A.
Published: November 2024

Precision medicine aims to provide personalized clinical care guided by tools that reflect underlying pathophysiology. The need for such an approach has never been greater in cardiovascular medicine, given the large number of guideline-directed medical therapies available. However, progress has been modest to date with few precision tools available for clinicians. Arguably, cardiovascular prevention and population health are poised for innovation to guide evaluation and management, as these areas are already informed by risk-assessment, but limited by the use of crude assessment tools with marginal performance. Risk assessment in prevention and population health may be improved with the use of genetics, circulating biomarkers, and imaging, leading to outcome-specific risk-prediction and enhanced phenotyping. Personalized management matching therapy to risk profile can be then implemented for either individuals or groups, improving cost-effectiveness and risk-benefit. Here, we explore this precision-like approach, including available tools, potential applications, and future perspectives for cardiovascular prevention and population health management.