bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving local path planning for UAV flight in challenging environments by refining cost function weights
Authors: Thoma Andreas , Gardi Alessandro , Fisher Alex , Braun Carsten
Published: May 2024

Unmanned Aerial Vehicles (UAV) constantly gain in versatility. However, more reliable path planning algorithms are required until full autonomous UAV operation is possible. This work investigates the algorithm 3DVFH* and analyses its dependency on its cost function weights in 2400 environments. The analysis shows that the 3DVFH* can find a suitable path in every environment. However, a particular type of environment requires a specific choice of cost function weights. For minimal failure, probability interdependencies between the weights of the cost function have to be considered. This dependency reduces the number of control parameters and simplifies the usage of the 3DVFH*. Weights for costs associated with vertical evasion (pitch cost) and vicinity to obstacles (obstacle cost) have the highest influence on the failure probability of the local path planner. Environments with mainly very tall buildings (like large American city centres) require a preference for horizontal avoidance manoeuvres (achieved with high pitch cost weights). In contrast, environments with medium-to-low buildings (like European city centres) benefit from vertical avoidance manoeuvres (achieved with low pitch cost weights). The cost of the vicinity to obstacles also plays an essential role and must be chosen adequately for the environment. Choosing these two weights ideal is sufficient to reduce the failure probability below 10%.
Association between the expression of epithelial–mesenchymal transition (EMT)-related markers and oncologic outcomes of colorectal cancer
Authors: Emile Mona Hany , Emile Sameh Hany , El-Karef Amr Awad , Ebrahim Mohamed Awad , Mohammed Ibrahim Eldosoky , Ibrahim Dina Abdallah
Published: May 2024

Background

Epithelial–mesenchymal transition (EMT) is a key step in the development of colorectal cancer (CRC) that confers metastatic capabilities to cancer cells. The present study aimed to assess the immunohistochemical (IHC) expression and impact of EMT markers, including E-cadherin, Vimentin, β-catenin, and SMAD4, on the oncologic outcomes of CRC.

Methods

This was a retrospective review of 118 CRC patients. Tissue slides were retrieved from the slide archive and five tissue microarray construction blocks were constructed. IHC for E-cadherin, Vimentin, β-catenin, and SMAD4 was done. The main outcome was the association between abnormal marker expression and overall survival (OS), and disease-free survival (DFS).

Results

Adenocarcinomas accounted for 71.2% of tumors, whereas 25.4% and 3.4% were mucinous and signet ring cell carcinomas. The rates of lymphovascular invasion and perineural invasion were 72.9% and 20.3%, respectively. There was a positive, significant correlation, and association between the four markers. Abnormal expression of E-cadherin was associated with significantly lower OS (p < 0.0001) and similar DFS (p = 0.06). Abnormal Vimentin expression was associated with a significantly higher rate of distant metastasis (p = 0.005) and significantly lower OS and DFS (p < 0.0001). Abnormal expression of β-catenin was associated with significantly lower OS (p < 0.0001) and similar DFS (p = 0.15). Abnormal expression of SMAD4 was associated with significantly lower OS and DFS (p < 0.0001). Abnormal expression of all four markers was associated with a higher disease recurrence, lower OS, and lower DFS.

Conclusion

Abnormal expression of each marker was associated with lower OS, whereas abnormal expression of Vimentin and SMAD4 only was associated with lower DFS.
Landmark Base Point Approach to Positional and Coastal Accuracy Analysis for Historical Map Before WWI: A Case Study 1836 Moltke and 1914 German Blue about in Historical Peninsula of İstanbul
Authors: Sahin Cumhur , Ergun Bahadir , Bilucan Furkan
Published: May 2024

Cartography, unquestionably one of the world’s oldest disciplines of scientific study, is among the fields that have been most influenced by technological improvements. These improvements have enhanced interest in historical maps while also paving the way for modern mapping. All of this process has created new topics of study for cartographers. It is possible to examine old maps using software such as MapAnalyst which can enable the investigation of time-dependent changes. In this study, two historical maps, namely, Moltke and German Blue, were analyzed in the study area including the Historical Peninsula, Golden Horn, some part of Bosphorus, and the Marmara Sea in İstanbul, Türkiye, employing Helmert, Affine, and Huber loss robust estimation methods. It was revealed that the region with the highest deterioration on both maps is between Beşiktaş and Üsküdar. The coastline change analysis was also performed. According to the results, it was observed that the regions with the most coastal change are located on the southern and eastern coasts of the Historical Peninsula.
Development and Validation of a Nomogram for Predicting Nutritional Risk Based on Frailty Scores in Older Stroke Patients
Authors: Liu Lei , He Chunyu , Yang Jiaxin , Chen Wenbo , Xie Yan , Chen Xiaofang
Published: May 2024

Background

In older stroke patients with frailty, nutritional deficiencies can amplify their susceptibility, delay recovery, and deteriorate prognosis. A precise predictive model is crucial to assess their nutritional risk, enabling targeted interventions for improved clinical outcomes.

Objective

To develop and externally validate a nutritional risk prediction model integrating general demographics, physical parameters, psychological indicators, and biochemical markers. The aim is to facilitate the early identification of older stroke patients requiring nutritional intervention.

Methods

This was a multicenter cross-sectional study. A total of 570 stroke patients were included, 434 as the modeling set and 136 as the external validation set. The least absolute shrinkage selection operator (LASSO) regression analysis was used to select the predictor variables. Internal validation was performed using Bootstrap resampling (1000 iterations). The nomogram was constructed based on the results of logistic regression. The performance assessment relied on the receiver operating characteristic curve (ROC), Hosmer–-Lemeshow test, calibration curves, Brier score, and decision curve analysis (DCA).

Results

The predictive nomogram encompassed seven pivotal variables: Activities of Daily Living (ADL), NIHSS score, diabetes, Body Mass Index (BMI), grip strength, serum albumin levels, and depression. Together, these variables comprehensively evaluate the overall health and nutritional status of elderly stroke patients, facilitating accurate assessment of their nutritional risk. The model exhibited excellent accuracy in both the development and external validation sets, evidenced by AUC values of 0.934 and 0.887, respectively. Such performance highlights its efficacy in pinpointing elderly stroke patients who require nutritional intervention. Moreover, the model showed robust goodness of fit and practical applicability, providing essential clinical insights to improve recovery and prognosis for patients prone to malnutrition.

Conclusions

Elderly individuals recovering from stroke often experience significant nutritional deficiencies. The nomogram we devised accurately assesses this risk by combining physiological, psychological, and biochemical metrics. It equips healthcare providers with the means to actively screen for and manage the nutritional care of these patients. This tool is instrumental in swiftly identifying those in urgent need of targeted nutritional support, which is essential for optimizing their recovery and managing their nutrition more effectively.
Justification for coercion in a public health crisis: not just a matter of individual harm
Authors: White Lucie
Published: May 2024

The COVID pandemic was an exceptional public health situation – which brought with it unprecedented restrictions across the global populace. But what was it about this pandemic which caused us to implement such drastic restrictions on liberty? Much of the ethical debate on restrictive measures such as lockdowns and vaccine requirements focused on the potential harm that individuals cause to other individuals by the risk of infection. I will suggest that this may come from a reliance on J.S. Mill’s harm principle as providing the ultimate justification for coercion – i.e., the well-accepted principle that state coercion is justified in order to prevent the imposition of unacceptable risk of harm to others. Though there have been attempts, in the wider public health ethics literature, to use the harm principle as a basis for restricting contribution to collective harms, I will suggest that these attempts cannot rely on the harm principle alone. I will then turn to the ways in which an individual-based line of reasoning does not capture a distinctive sort of harm posed by the COVID pandemic (and others like it): the potential failure of healthcare systems. I will draw out three ways in which a focus on the harm that an individual poses to another individual fails to capture the full scope of harm wrought by the collapse of healthcare systems. First, it can’t adequately capture the cumulative and “looping effects” of the harm caused by strained healthcare systems. Second, it fails to capture the widespread ripple effects the failure of a central societal institution can have on other institutions. And third, the failure of a healthcare system can impose “psychic costs”, affecting the moral character of all members of society, reducing trust in institutions, and potentially posing an existential threat to the fabric of society. Finally, I will sketch some implications of the recognition of this distinctive sort of harm for the justification of coercive public health measures.
The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study
Authors: Wang Y. , Li S. , Lu J. , Feng K. , Huang X. , Hu F. , Sun M. , Zou Y. , Li Y. , Huang W. , Zhou J.
Published: May 2024

Background

The wealth of data taken from continuous glucose monitoring (CGM) remains to be fully used. We aimed to evaluate the relationship between a promising new CGM metric, complexity of glucose time series index (CGI), and mortality in critically ill patients.

Methods

A total of 293 patients admitted to mixed medical/surgical intensive care units from 5 medical centers in Shanghai were prospectively included between May 2020 and November 2021. CGI was assessed using intermittently scanned CGM, with a median monitoring period of 12.0 days. Outcome measures included short- and long-term mortality.

Results

During a median follow-up period of 1.7 years, a total of 139 (47.4%) deaths were identified, of which 73 (24.9%) occurred within the first 30 days after ICU admission, and 103 (35.2%) within 90 days. The multivariable-adjusted HRs for 30-day mortality across ascending tertiles of CGI were 1.00 (reference), 0.68 (95% CI 0.38–1.22) and 0.36 (95% CI 0.19–0.70), respectively. For per 1-SD increase in CGI, the risk of 30-day mortality was decreased by 51% (HR 0.49, 95% CI 0.35–0.69). Further adjustment for HbA1c, mean glucose during hospitalization and glucose variability partially attenuated these associations, although the link between CGI and 30-day mortality remained significant (per 1-SD increase: HR 0.57, 95% CI 0.40–0.83). Similar results were observed when 90-day mortality was considered as the outcome. Furthermore, CGI was also significantly and independently associated with long-term mortality (per 1-SD increase: HR 0.77, 95% CI 0.61–0.97).

Conclusions

In critically ill patients, CGI is significantly associated with short- and long-term mortality.
Key Components and Content of Effective Evidence-Based Digital Prevention Programs for Anxiety and Depression in Children and Adolescents: A Systematic Umbrella Review
Authors: Reitegger Franziska , Peras Igor , Wright Michaela , Gasteiger-Klicpera Barbara
Published: May 2024

Anxiety and depression are among the most common mental health problems in children and adolescents, and evidence-based digital programs may help in their prevention. However, existing reviews lack a detailed overview of effective program elements, including structural features and supporting content. This umbrella review synthesizes the main elements of effective, evidence-based digital programs which facilitate the prevention of anxiety and depression in children and adolescents. Based on an analysis of 11 existing reviews that describe 45 programs, key components and content contributing to program effectiveness were identified. These included a focus on modular and linear structure, which means organizing the program in a clear and sequential manner. Additionally, approaches based on cognitive behavioral therapy and gamification to engage and motivate users, were identified as effective components. The findings provide a better understanding of what makes digital programs effective, including considerations for sustainability and content, offering valuable insights for the future development of digital programs concerning the prevention of anxiety and depression in children and adolescents. Critically noted is that the differentiation between prevention and intervention in the program description is not always clear and this could lead to an overestimation of prevention effects.
Dually flat structure of binary choice models
Authors: Tanaka Hisatoshi
Published: May 2024

In this study, we consider parametric binary choice models from the perspective of information geometry. The set of models is a dually flat manifold with dual connections, naturally derived from the Fisher information metric. Under the dual connections, the canonical divergence and the Kullback–Leibler divergence of the binary choice model coincide if and only if the model is a logit model.
Simulation of multijunction solar cell interfaces for enhancement of the power conversion efficiency
Authors: Beepat Kevin Gurbani , Sharma Davinder Pal , Mahajan Aman , Pathak Dinesh , Kumar Vinod
Published: May 2024

The problems with traditional solar cells are mainly their high cost and low conversion efficiency, which severely restricts the advancement of these cells in real-world uses. Therefore, in order to maximise the efficiency of GaAs/AlGaAs thin-film heterostructures, GaAs/AlGaAs solar cells were numerically simulated along with Mo(S,Se)2 and CH3NH3PbI3 layers in order to determine the most suitable candidate for maximising its power conversion efficiency. Both two dimensional (2D) and three dimensional (3D) solar cells were simulated using COMSOL Multiphysics and it was found that the structure which had the highest efficiency was Mo(S,Se)2/GaAs/AlGaAs. The lowering of the Schottky barrier at the semiconductor–metal electrode interface and the low recombination rates reported in the Mo(S,Se)2 layer may have contributed to its high efficiency rates. The combined effect resulted in a open circuit voltage (VOC) of 0.61 V, short circuit current density (JSC) of 43.65 mA/cm2, fill factor (FF) of 76.6% and power conversion efficiency (PCE) of 20.53%. In addition, the optimum thickness for the Mo(S,Se)2 and the CH3NH3PbI3 layers was found to be 40 and 600 nm, respectively. These results allow for the promotion of highly efficient GaAs/AlGaAs heterostructures and provide an effective strategy and source for the manufacture of high-performance thin-film solar cells.
Associated SDOH needs of patients without health insurance and experiencing food insecurity
Authors: Thareja Suma K. , Marting Spenser , Davies William , Samudrala Santhosi , Rayes Ramsey , Balfour Marie , Corujo-Ramirez Ana Mia , Carter Frances , Liu Benjamin , Trinh Dylan , Ritter Thomas , Miller Jessica , Fine Coleman , Lundh Rebecca , Young Staci A.
Published: May 2024

Although patients experiencing food insecurity commonly screen positive for a myriad of social determinants of health (SDOH) needs and chronic medical conditions influenced by diet, few studies have investigated associations within both uninsured and food insecure populations. We screened patients for food insecurity using the USDA six-item short form between October 2021 and April 2022. We then evaluated associations of food security status with nine separate SDOH needs and eight chronic medical conditions. In this cross-sectional study, of the 190 patients seen at a student-run free clinic serving patients without health insurance, 135 (71%) completed the SDOH survey. We identified chronic medical conditions via retrospective chart review and analyzed associations using multivariable logistic regressions adjusted for age and sex. Uninsured participants experiencing food insecurity (n = 22,16.3%) requested more support for: medications (adjusted odds ratio [AOR] = 7.28; 95% Confidence Interval [95% CI] = 2.33–23.2); p-value [P] =  < 0.001, housing (AOR = 9.99; 95% CI = 2.29–48.7; P = 0.002), utilities (AOR = 3.94; 95% CI = 1.07–13.5; P = 0.03), mental health resources (AOR = 4.54; 95% CI = 1.66–12.5; P = 0.003), health insurance (AOR = 2.86; 95% CI = 1.09–8.22; P = 0.04), and dental care (AOR = 3.65; 95% CI = 1.26–13.3; P = 0.03). These participants were more likely to have anxiety (AOR = 3.26; 95% CI = 1.23–8.38; P = 0.02) and depression (AOR = 2.88; 95% CI = 1.01–7.80; P = 0.04) diagnoses or symptoms. We also discovered that individuals aged 18–50 experiencing food insecurity had a higher number of health conditions (AOR = 6.3455; 95% CI = 1.49–26.99; P = 0.01), underscoring the profound impact of SDOH in younger populations. Understanding the interplay between food insecurity, SDOH needs, and medical conditions informs interventions, including food distribution programs and enhanced mental health resources.
Afghanistan National Depression Screening (ANDs) scale: development and psychometric testing
Authors: Neyazi Ahmad , Mohammadi Abdul Qadim , Rahimi Bilal Ahmad , Razaqi Nosaibah , Afzali Habibah , NoorMohammadi Morteza , Neyazi Mehrab
Published: May 2024

Background

Depression is a complex mental health disorder marked by persistent sadness, hopelessness, and reduced interest in daily activities. The present study developed the Afghanistan National Depression Screening (ANDs) scale and examined its psychometric properties within the Afghan population.

Methods

The study enrolled 1245 Afghan individuals as participants. The items within the ANDs scale were developed through a thorough examination of pre-existing depression scales, expert assessments, and participant interviews. Multiple psychometric evaluations were administered to ensure the reliability and validity of the scale.

Results

After review and corrected item-total correlation testing, 15-items exhibiting acceptable corrected item-total correlation coefficients (ranging from 0.315 to 0.647) were retained and further validated through significant factor loadings (ranging from 0.358 to 0.725). Additionally, various properties assessed through classical test theory demonstrated satisfactory results on the 15-item scale. Specifically, measures of reliability such as internal consistency (α = 0.846) and Spearman-Brown coefficient (0.975) were deemed acceptable. Convergent validity was evidenced by strong correlations with established scales, including the DASS-21 (depression subscale, r = 0.854), GHQ-28 (depression subscale, r = 0.693), CES-D 20 (r = 0.922), and PHQ-9 (r = 0.758).

Conclusion

The 15-item ANDs scale is developed to assess depression in Afghan populations, showing promise in correlation with established measures like PHQ-9, DASS-21, CESD-20, and GHQ-28. Its potential for identifying depression symptoms warrants further investigation in epidemiological studies and clinical settings, though replication across diverse samples is necessary for generalizability.
Exploring climate change adaptation strategies of crop and livestock farmers in urban Ghana
Authors: Naazie Godwin K. , Agyemang Isaac , Tampah-Naah Anthony M.
Published: May 2024

This study investigates the climate change adaptation strategies employed by urban crop and livestock farmers in Ghana. With the increasing recognition of climate change threats to agricultural productivity and food security, it is crucial to understand urban farmers’ adaptation strategies. Through a mixed-methods approach—surveys of 191 urban farming households using a questionnaire and interviews of 13 key informants using an interview guide, data were collected from farmers in urban Ghana. The quantitative data were analysed using descriptive statistics from the Statistical Package for Social Sciences and presented in tables. The qualitative data were analysed manually based on themes and content and presented in narratives. The results indicated a significant relationship between urban farmers’ educational status and gender and their sources of climate change adaptation information. Urban farmers’ climate change adaptation strategies include planting more improved and less indigenous crop varieties and rearing of more exotic and less local breeds of animals. Again, to buffer animal production against climatic diseases, urban farmers treat their animals through vaccination, giving animals pills, disinfecting pens, and spraying animals’ bodies with chemicals. Access to agricultural extension services is the main challenge in urban farmers’ climate change adaptation. The study underscores the importance of enhancing farmers’ resilience through targeted interventions, including capacity-building initiatives, access to climate information and financial resources, and the integration of climate-smart agricultural practices into urban planning and policy frameworks. In addressing these challenges and promoting adaptive strategies, urban crop and livestock farmers in Ghana can enhance their resilience to climate change and contribute to sustainable urban agriculture and food security. This study, therefore, contributes to the urban agriculture and climate change literature by drawing attention to how crop and animal farmers in the urban neighbourhood adapt to climatic stressors.
Tidal Composition Analysis of Global Sq Current System
Authors: Chen S. S. , Yamazaki Y. , Denardini C. M. , Resende L. C. A. , Chagas R. A. J. , Stolle C.
Published: May 2024

In this study, we examine the spatiotemporal variability of the global equivalent ionospheric current system estimated from geomagnetic Solar‐quiet (Sq) variations at 124 mid‐ to low‐latitude ground‐based magnetometer stations during 1–31 May 2020. In this period, geomagnetic activity was particularly low, that is, the hourly geomagnetic activity index Hp60 did not exceed 4o. The spherical harmonic analysis is performed on the Sq variations to estimate the equivalent current function at each universal time hour. Hourly maps of the global Sq current system are used to evaluate, for the first time, the tidal composition of mid‐latitude Sq currents and its temporal evolution. Although tides are known to be an important driver of Sq currents, the tidal composition analysis was difficult in previous studies that focused on Sq currents at particular longitude sectors. Our results show that the migrating tidal components (DW1, SW2, and TW3) are predominant in both hemispheres. This is as expected from the strong day‐night contrast in ionospheric conductivities. The day‐to‐day variations of the migrating tidal components are, however, not strongly correlated between the two hemispheres, suggesting that these variations arise not only from the global effect of solar radiation on ionospheric conductivities but also from the local effect of neutral winds. Variations associated with non‐migrating tides are also found. Especially, eastward‐propagating diurnal and semidiurnal tides with zonal wavenumber 1 (DE1 and SE1) are the largest non‐migrating components. Their production mechanisms remain to be understood.
Climate Change Is Likely to Slash Global Income
Authors: Bourzac Katherine
Published: May 2024

A new study estimates that climate change could cost $38 billion per year, but emissions mitigation and adaptation strategies could limit future damages.
The circulating proteome and brain health: Mendelian randomisation and cross-sectional analyses
Authors: Walker Rosie M. , Chong Michael , Perrot Nicolas , Pigeyre Marie , Gadd Danni A. , Stolicyn Aleks , Shi Liu , Campbell Archie , Shen Xueyi , Whalley Heather C. , Nevado-Holgado Alejo , McIntosh Andrew M. , Heitmeier Stefan , Rangarajan Sumathy , O’Donnell Martin , Smith Eric E. , Yusuf Salim , Whiteley William N. , Paré Guillaume
Published: May 2024

Decline in cognitive function is the most feared aspect of ageing. Poorer midlife cognitive function is associated with increased dementia and stroke risk. The mechanisms underlying variation in cognitive function are uncertain. Here, we assessed associations between 1160 proteins’ plasma levels and two measures of cognitive function, the digit symbol substitution test (DSST) and the Montreal Cognitive Assessment in 1198 PURE-MIND participants. We identified five DSST performance-associated proteins (NCAN, BCAN, CA14, MOG, CDCP1), with NCAN and CDCP1 showing replicated association in an independent cohort, GS (N = 1053). MRI-assessed structural brain phenotypes partially mediated (8–19%) associations between NCAN, BCAN, and MOG, and DSST performance. Mendelian randomisation analyses suggested higher CA14 levels might cause larger hippocampal volume and increased stroke risk, whilst higher CDCP1 levels might increase intracranial aneurysm risk. Our findings highlight candidates for further study and the potential for drug repurposing to reduce the risk of stroke and cognitive decline.
NAT10-mediated upregulation of GAS5 facilitates immune cell infiltration in non-small cell lung cancer via the MYBBP1A-p53/IRF1/type I interferon signaling axis
Authors: Wang Zimu , Luo Jing , Huang Hairong , Wang Li , Lv Tangfeng , Wang Zhaofeng , Li Chuling , Wang Yimin , Liu Jiaxin , Cheng Qinpei , Zuo Xueying , Hu Liwen , Ye Mingxiang , Liu Hongbing , Song Yong
Published: May 2024

Interactions of tumor cells with immune cells in the tumor microenvironment play an important role during malignancy progression. We previously identified that GAS5 inhibited tumor development by suppressing proliferation of tumor cells in non-small cell lung cancer (NSCLC). Herein, we discovered a tumor-suppressing role for tumor cell-derived GAS5 in regulating tumor microenvironment. GAS5 positively coordinated with the infiltration of macrophages and T cells in NSCLC clinically, and overexpression of GAS5 promoted macrophages and T cells recruitment both in vitro and in vivo. Mechanistically, GAS5 stabilized p53 by directly binding to MYBBP1A and facilitating MYBBP1A-p53 interaction, and enhanced p53-mediated transcription of IRF1, which activated type I interferon signaling and increased the production of downstream CXCL10 and CCL5. We also found that activation of type I interferon signaling was associated with better immunotherapy efficacy in NSCLC. Furthermore, the stability of GAS5 was regulated by NAT10, the key enzyme responsible for N4-acetylcytidine (ac4C) modification, which bound to GAS5 and mediated its ac4C modification. Collectively, tumor cell-derived GAS5 could activate type I interferon signaling via the MYBBP1A-p53/IRF1 axis, promoting immune cell infiltration and potentially correlating with immunotherapy efficacy, which suppressed NSCLC progression. Our results suggested GAS5 as a promising predictive marker and potential therapeutic target for combination therapy in NSCLC.
IL-1β promotes esophageal squamous cell carcinoma growth and metastasis through FOXO3A by activating the PI3K/AKT pathway
Authors: Chen Shuangshuang , Yang Ying , Zheng Zhaoyang , Zhang Man , Chen Xixian , Xiao Nan , Liu Hongchun
Published: May 2024

Esophageal cancer is a common type of cancer that poses a significant threat to human health. While the pro-inflammatory cytokine IL-1β has been known to contribute to the development of various types of tumors, its role in regulating esophageal cancer progression has not been extensively studied. Our studies found that the expression of IL-1β and FOXO3A was increased in esophageal squamous cell carcinoma (ESCC). IL-1β not only increased the proliferation, migration, and invasion of two ESCC cell lines but also promoted tumor growth and metastasis in nude mice. We also observed that IL-1β and FOXO3A regulated the process of epithelial-mesenchymal transition (EMT) and autophagy. The PI3K/AKT pathway was found to be involved in the changes of FOXO3A with the expression level of IL-1β. The AKT agonist (SC79) reversed the reduction of FOXO3A expression caused by the knockdown of IL-1β, indicating that IL-1β plays a role through the PI3K/AKT/FOXO3A pathway. Furthermore, the knockdown of FOXO3A inhibited ESCC development and attenuated the pro-cancer effect of overexpressed IL-1β. Targeting IL-1β and FOXO3A may be potentially valuable for the diagnosis and treatment of ESCC.
Polarization-driven band topology evolution in twisted MoTe2 and WSe2
Authors: Zhang Xiao-Wei , Wang Chong , Liu Xiaoyu , Fan Yueyao , Cao Ting , Xiao Di
Published: May 2024

Motivated by recent experimental observations of opposite Chern numbers in R-type twisted MoTe2and WSe2homobilayers, we perform large-scale density-functional-theory calculations with machine learning force fields to investigate moiré band topology across a range of twist angles in both materials. We find that the Chern numbers of the moiré frontier bands change sign as a function of twist angle, and this change is driven by the competition between moiré ferroelectricity and piezoelectricity. Our large-scale calculations, enabled by machine learning methods, reveal crucial insights into interactions across different scales in twisted bilayer systems. The interplay between atomic-level relaxation effects and moiré-scale electrostatic potential variation opens new avenues for the design of intertwined topological and correlated states, including the possibility of mimicking higher Landau level physics in the absence of magnetic field.
Stimulation of tumoricidal immunity via bacteriotherapy inhibits glioblastoma relapse
Authors: Zhang Yulin , Xi Kaiyan , Fu Zhipeng , Zhang Yuying , Cheng Bo , Feng Fan , Dong Yuanmin , Fang Zezheng , Zhang Yi , Shen Jianyu , Wang Mingrui , Han Xu , Geng Huimin , Sun Lei , Li Xingang , Chen Chen , Jiang Xinyi , Ni Shilei
Published: May 2024

Glioblastoma multiforme (GBM) is a highly aggressive brain tumor characterized by invasive behavior and a compromised immune response, presenting treatment challenges. Surgical debulking of GBM fails to address its highly infiltrative nature, leaving neoplastic satellites in an environment characterized by impaired immune surveillance, ultimately paving the way for tumor recurrence. Tracking and eradicating residual GBM cells by boosting antitumor immunity is critical for preventing postoperative relapse, but effective immunotherapeutic strategies remain elusive. Here, we report a cavity-injectable bacterium-hydrogel superstructure that targets GBM satellites around the cavity, triggers GBM pyroptosis, and initiates innate and adaptive immune responses, which prevent postoperative GBM relapse in male mice. The immunostimulatory Salmonella delivery vehicles (SDVs) engineered from attenuated Salmonella typhimurium (VNP20009) seek and attack GBM cells. Salmonella lysis-inducing nanocapsules (SLINs), designed to trigger autolysis, are tethered to the SDVs, eliciting antitumor immune response through the intracellular release of bacterial components. Furthermore, SDVs and SLINs administration via intracavitary injection of the ATP-responsive hydrogel can recruit phagocytes and promote antigen presentation, initiating an adaptive immune response. Therefore, our work offers a local bacteriotherapy for stimulating anti-GBM immunity, with potential applicability for patients facing malignancies at a high risk of recurrence.
Divacancy and resonance level enables high thermoelectric performance in n-type SnSe polycrystals
Authors: Gong Yaru , Dou Wei , Lu Bochen , Zhang Xuemei , Zhu He , Ying Pan , Zhang Qingtang , Liu Yuqi , Li Yanan , Huang Xinqi , Iqbal Muhammad Faisal , Zhang Shihua , Li Di , Zhang Yongsheng , Wu Haijun , Tang Guodong
Published: May 2024

N-type polycrystalline SnSe is considered as a highly promising candidates for thermoelectric applications due to facile processing, machinability, and scalability. However, existing efforts do not enable a peak ZT value exceeding 2.0 in n-type polycrystalline SnSe. Here, we realized a significant ZT enhancement by leveraging the synergistic effects of divacancy defect and introducing resonance level into the conduction band. The resonance level and increased density of states resulting from tungsten boost the Seebeck coefficient. The combination of the enhanced electrical conductivity (achieved by increasing carrier concentration through WCl6 doping and Se vacancies) and large Seebeck coefficient lead to a high power factor. Microstructural analyses reveal that the co-existence of divacancy defects (Se vacancies and Sn vacancies) and endotaxial W- and Cl-rich nanoprecipitates scatter phonons effectively, resulting in ultralow lattice conductivity. Ultimately, a record-high peak ZT of 2.2 at 773 K is achieved in n-type SnSe0.92 + 0.03WCl6.
Invariant γδTCR natural killer-like effector T cells in the naked mole-rat
Authors: Sanchez Sanchez Guillem , Emmrich Stephan , Georga Maria , Papadaki Ariadni , Kossida Sofia , Seluanov Andrei , Gorbunova Vera , Vermijlen David
Published: May 2024

The naked mole-rat (Heterocephalus glaber) is a long-lived rodent species showing resistance to the development of cancer. Although naked mole-rats have been reported to lack natural killer (NK) cells, γδ T cell-based immunity has been suggested in this species, which could represent an important arm of the immune system for antitumor responses. Here, we investigate the biology of these unconventional T cells in peripheral tissues (blood, spleen) and thymus of the naked mole-rat at different ages by TCR repertoire profiling and single-cell gene expression analysis. Using our own TCR annotation in the naked mole-rat genome, we report that the γδ TCR repertoire is dominated by a public invariant Vγ4-2/Vδ1-4 TCR, containing the complementary-determining-region-3 (CDR3)γ CTYWDSNYAKKLF / CDR3δ CALWELRTGGITAQLVF that are likely generated by short-homology-repeat-driven DNA rearrangements. This invariant TCR is specifically found in γδ T cells expressing genes associated with NK cytotoxicity and is generated in both the thoracic and cervical thymus of the naked mole-rat until adult life. Our results indicate that invariant Vγ4-2/Vδ1-4 NK-like effector T cells in the naked mole-rat can contribute to tumor immunosurveillance by γδ TCR-mediated recognition of a common molecular signal.
Transformation starts at the periphery of networks where pushback is less
Authors: van de Leemput Ingrid A. , Bascompte Jordi , Buddendorf Willem Bastiaan , Dakos Vasilis , Lever J. Jelle , Scheffer Marten , van Nes Egbert H.
Published: May 2024

Complex systems ranging from societies to ecological communities and power grids may be viewed as networks of connected elements. Such systems can go through critical transitions driven by an avalanche of contagious change. Here we ask, where in a complex network such a systemic shift is most likely to start. Intuitively, a central node seems the most likely source of such change. Indeed, topological studies suggest that central nodes can be the Achilles heel for attacks. We argue that the opposite is true for the class of networks in which all nodes tend to follow the state of their neighbors, a category we call two-way pull networks. In this case, a well-connected central node is an unlikely starting point of a systemic shift due to the buffering effect of connected neighbors. As a result, change is most likely to cascade through the network if it spreads first among relatively poorly connected nodes in the periphery. The probability of such initial spread is highest when the perturbation starts from intermediately connected nodes at the periphery, or more specifically, nodes with intermediate degree and relatively low closeness centrality. Our finding is consistent with empirical observations on social innovation, and may be relevant to topics as different as the sources of originality of art, collapse of financial and ecological networks and the onset of psychiatric disorders.
Assessment of groundwater quality for human consumption and its health risks in the Middle Magdalena Valley, Colombia
Authors: Lora-Ariza Boris , Piña Adriana , Donado Leonardo David
Published: May 2024

Groundwater is the primary source of water for people living in rural areas, especially during seasons when surface water is contaminated or unavailable. In Colombia, people use groundwater as drinking water without additional treatment. In addition, there is no infrastructure for wastewater collection and sewage treatment in the region of the Middle Magdalena Valley. The current study aims to evaluate the quality of groundwater in this region to determine any potential health hazards associated with its consumption. To reach the objective, three (3) physicochemical and microbiological sampling campaigns were carried out during different hydrological periods. A total of 428 groundwater samples were analyzed for over 28 parameters. The results were compared with the water quality standards proposed by the US EPA and Colombian regulations for human consumption. The analysis revealed the presence of total and fecal coliforms in 89% and 58% of the analyzed samples, respectively, identifying them as the main contaminants in groundwater. Furthermore, the pH levels did not meet the standards set by the US EPA in 33.8% of the cases and by Colombian regulations in 31.02%. Additionally, 32.8%, 17.6%, 14.3%, and 10.9% of the samples failed to meet the established thresholds for apparent color, magnesium, iron, and nitrates, respectively, under both standards. Moreover, only the analyses of selenium, mercury, and zinc complied with the quality standards under both regulatory frameworks. Based on the Colombian Drinking-Water Quality Risk Index (CDWQRI-IRCA), the risk associated with water quality meant for human consumption was assessed. The results showed that over 84% of the samples analyzed posed a high risk to human health, 4.6% posed a medium risk, 5.5% posed a low risk, and only 5.7% posed no risk at all. Additionally, official mortality statistics for children under four years old were reviewed, which revealed two deaths in 2019 due to Acute Diarrheal Disease (ADD) caused by consumption of contaminated water. Therefore, it is crucial to implement water treatment systems, establish aqueducts in rural areas, and conduct rigorous and systematic monitoring of drinking water to ensure it is safe for human consumption. It is also important to track morbidity and mortality rates associated with water consumption.
Predictability of tooth rotations in patients treated with clear aligners
Authors: D’Antò Vincenzo , Rongo Roberto , Casaburo Sossio Dario , Martina Stefano , Petrucci Paolo , Keraj Kreshnik , Valletta Rosa
Published: May 2024

Clear aligners are employed daily for the treatment of several malocclusions. Previous clinical studies indicated low accuracy for the correction of tooth rotations. The aim of this study was to evaluate the predictability of tooth rotations with clear aligners. The sample comprised 390 teeth (190 mandibular; 200 maxillary), measured from the virtual models of 45 participants (21 men, 24 women; mean age: 29.2 ± 6.6 years old). For each patient, pre-treatment (T0) digital dental models (STL files), virtual plan (T1) and post-treatment digital dental models (T2) of both the mandibular and maxillary arches were imported onto Geomagic Control X, a 3D metrology software which allows angular measurements. Rotations were calculated by defining reproducible vectors for all teeth in each STL file and superimposing both T0 with T1 to determine the prescribed rotation, and T0 with T2 to determine the achieved rotation. Prescribed and achieved rotations were compared to assess movement’s accuracy. The Wilcoxon signed-rank test and paired t-test were used to assess differences between the prescribed and achieved movements (P < 0.05). The overall predictability of rotational movement was 78.6% for the mandibular arch and 75.0% for the maxillary arch. Second molar accuracy was the lowest in both arches. Clear aligners were not able to achieve 100% of the planned movements.
Impact of various cryo-preservation steps on sperm rheotaxis and sperm kinematics in bull
Authors: Mofadel Haitham A. , Hussein Hassan A. , Abd-Elhafee Hanan H. , El-Sherry Taymour M.
Published: May 2024

Semen cryopreservation is an important tool that has massively contributed to the progression of animal reproduction, especially in cattle. Nonetheless, a large part of the sperm population suffers from cryostress and loses fertility during the process. Although bovine semen cryopreservation is more advanced than any other species, there are still some missing links in the technology knowledge. The aim of the current study was to detect the effect of cryopreservation steps on sperm rheotaxis. Semen samples were collected from sex bulls and analyzed inside a microfluidic platform with CASA after each step of cryopreservation, including control, dilution with yolk citrate, cryoprotectant addition, and cooling or freezing. The results showed that positive rheotaxis % (PR) was not affected during cryopreservation. On the contrary, the sperm kinematics of the positive rheotactic sperm undergo significant changes, as velocity parameters (VCL, VSL, and VAP) were lower in both the cryoprotectant adding and cooling/freezing steps than in the control and yolk citrate dilution steps, while progression parameters (LIN and BCF) were higher in the cryoprotectant and cooling/freezing steps than in the control and yolk citrate dilution steps. Beside these results, an interesting phenomenon of sperm backward positive rheotaxis has been observed. The results of backward sperm rheotaxis samples revealed a significant decrease in PR%, while all sperm kinematics except BCF were significantly higher than normal rheotaxis samples. Based on these results, we conclude that positive rheotactic sperm cells are the elite of the sperm population; however, they still get some sublethal cryodamage, as shown by alterations in sperm kinematics. We also suggest that the sperm-positive rheotaxis mechanism is a mixture of an active and passive process rather than a passive physical one.
Neuroprotective and cognitive enhancing effects of herbecetin against thioacetamide induced hepatic encephalopathy in rats via upregulation of AMPK and SIRT1 signaling pathways
Authors: Sedik Ahmed A. , Hussein Dalia T. , Fathy Khaled , Mowaad Noha A.
Published: May 2024

Acute liver injury, there is a risky neurological condition known as hepatic encephalopathy (HE). Herbacetin is a glycosylated flavonoid with many pharmacological characteristics. The purpose of this study was to assess the ability of herbacetin to protect against the cognitive deficits associated with thioacetamide (TAA) rat model and delineate the underlying behavioral and pharmacological mechanisms. Rats were pretreated with herbacetin (20 and 40 mg/kg) for 30days. On 30th day, the rats were injected with TAA (i.p. 350 mg/kg) in a single dose. In addition to a histpathological studies, ultra-structural architecture of the brain, liver functions, oxidative stress biomarkers, and behavioral tests were evaluated. Compared to the TAA-intoxicated group, herbacetin improved the locomotor and cognitive deficits, serum hepatotoxicity indices and ammonia levels. Herbacetin reduced brain levels of malodialdeyde, glutamine synthetase (GS), tumor necrosis factor- alpha (TNF-α), interleukin 1 B (IL-1β), annexin v, and increased brain GSH, Sirtuin 1 (SIRT1), and AMP-activated kinase (AMPK) expression levels. Also, herbacetin improve the histopathological changes and ultra- structure of brain tissue via attenuating the number of inflammatory and apoptotic cells. Herbacetin treatment significantly reduced the toxicity caused by TAA. These findings suggest that herbacetin might be taken into account as a possible neuroprotective and cognitive enhancing agent due to its ability to reduce oxidative stress, inflammation and apoptosis associated with TAA.
Exploring physiological stress response evoked by passive translational acceleration in healthy adults: a pilot study utilizing electrodermal activity and heart rate variability measurements
Authors: Yu Xiaoru , Lu JiaWei , Liu Wenchao , Cheng Zhenbo , Xiao Gang
Published: May 2024

Passive translational acceleration (PTA) has been demonstrated to induce the stress response and regulation of autonomic balance in healthy individuals. Electrodermal activity (EDA) and heart rate variability (HRV) measurements are reliable indicators of the autonomic nervous system (ANS) and can be used to assess stress levels. The objective of this study was to investigate the potential of combining EDA and HRV measurements in assessing the physiological stress response induced by PTA. Fourteen healthy subjects were randomly assigned to two groups of equal size. The experimental group underwent five trials of elevator rides, while the control group received a sham treatment. EDA and HRV indices were obtained via ultra-short-term analysis and compared between the two groups to track changes in the ANS. In addition, the complexity of the EDA time series was compared between the 4 s before and the 2–6 s after the onset of PTA to assess changes in the subjects' stress levels in the experimental group. The results revealed a significant increase in the skin conductance response (SCR) frequency and a decrease in the root mean square of successive differences (RMSSD) and high frequency (HF) components of HRV. In terms of stress assessment, the results showed an increase in the complexity of the EDA time series 2–6 s after the onset of PTA. These results indicate an elevation in sympathetic tone when healthy subjects were exposed to a translational transport scenario. Furthermore, evidence was provided for the ability of EDA complexity to differentiate stress states in individual trials of translational acceleration.
Cd(II)-based complex loaded with drug doxorubicin hydrogels against leukemia and reinforcement learning
Authors: Chen Mo , Chen Danhui , Li Guanyu , Wu Yong
Published: May 2024

A new 3D metal–organic frameworks [Cd6(L)4(bipy)3(H2O)2·H2O] (1) was gained by employing Cd(II) and organic ligand [H3L = 4,4′,4′′-(benzene-1,3,5-triyltris(oxy))tribenzoic acid)benzene acid; bipy = 4,4′-bipyridine] in the solvothermal condition, which has been fully examined via single-X ray diffraction, FTIR and elemental analysis and so on. Using natural polysaccharides hyaluronic acid (HA) and carboxymethyl chitosan (CMCS) as raw materials, we successfully prepared HA/CMCS hydrogels and observed their internal micromorphology by scanning electron microscopy. Using doxorubicin (Dox) as a drug model, we synthesized a novel metal gel particle loaded with doxorubicin, and their encapsulation and release effects were studied using fluorescence spectroscopy, followed by further investigation of their components through thermogravimetric analysis. Based on this, the therapeutic effect on leukemia was evaluated. Finally, an enhanced learning method for automatically designing new ligand structures from host ligands was proposed. Through generative modeling and molecular docking simulations, the biological behavior of the host and predicted cadmium complexes was extensively studied.