bluuebunny/crossref_metadata_2025_split huggingface dataset:
ETV7 reduces inflammatory responses in breast cancer cells by repressing the TNFR1/NF-κB axis
Authors: Meskyte Erna , Pezzè Laura , Forcato Mattia , Bocci Irene , Bisio Alessandra , Bicciato Silvio , Baltriukienė Daiva , Ciribilli Yari 
Published: September 2022

Abstract
The transcription factor ETV7 is an oncoprotein that is up-regulated in all breast cancer (BC) types. We have recently demonstrated that ETV7 promoted breast cancer progression by increasing cancer cell proliferation and stemness and was also involved in the development of chemo- and radio-resistance. However, the roles of ETV7 in breast cancer inflammation have yet to be studied. Gene ontology analysis previously performed on BC cells stably over-expressing ETV7 demonstrated that ETV7 was involved in the suppression of innate immune and inflammatory responses. To better decipher the involvement of ETV7 in these signaling pathways, in this study, we identified TNFRSF1A, encoding for the main receptor of TNF-α, TNFR1, as one of the genes down-regulated by ETV7. We demonstrated that ETV7 directly binds to the intron I of this gene, and we showed that the ETV7-mediated down-regulation of TNFRSF1A reduced the activation of NF-κB signaling. Furthermore, in this study, we unveiled a potential crosstalk between ETV7 and STAT3, another master regulator of inflammation. While it is known that STAT3 directly up-regulates the expression of TNFRSF1A, here we demonstrated that ETV7 reduces the ability of STAT3 to bind to the TNFRSF1A gene via a competitive mechanism, leading to the repression of its transcription. These results suggest that ETV7 can reduce the inflammatory responses in breast cancer through the down-regulation of TNFRSF1A.
Factors Affecting Home Discharge of Older Adults With Cervical Spinal Cord Injury in Japan
Authors: Sasaki Sota , Masuda Muneaki , Kawano Osamu , Yamamoto Takuaki , Maeda Takeshi 
Published: September 2022

Abstract
Study design: Retrospective cohort study.
Objective: To investigate the characteristics of cervical spinal cord injury in patients over 65 years and examine the factors influencing their discharge home.
Setting: Spinal Injuries Center, Fukuoka, Japan.
Methods: We referred to past medical records and our database to extract data regarding consecutive cervical spinal cord injury cases between 2005 and 2020. Patients over 65 years old who were admitted to the hospital within 14 days of injury were selected. A univariate analysis was performed between the home discharge and out-of-home discharge groups. Multiple logistic regression analysis of admission findings and patient background was also performed to examine independent factors influencing home discharge.
Results: Over 15 years, we included 219 patients in the study, of whom 41.1% were eventually discharged home. A two-group comparison between the home discharge and out-of-home discharge groups showed significant differences in age at injury, length of hospital stay, rate of American Spinal Injury Association (ASIA) Impairment Scale (AIS:A), cohabitants, ASIA motor score (AMS), and Spinal Cord Independence Measure (SCIM) at initial visit and discharge. Multivariate logistic regression analysis revealed that age at injury (OR: 0.88, 95% CI: 0.83–0.93, p<.0001), percentage of AIS:A at admission (OR: 0.01, 95% CI: 0.10–0.75, p<.05), and AMS at admission (OR: 1.02, 95% CI: 1.01–1.04, p<.0001) were independent factors.
Conclusion: More than half the older adult patients with cervical cord injury were discharged outside the home. Age, percentage of AIS:A, and AMS values at admission were independent factors influencing home discharge.
Measuring the concentration of radon gas and its progeny in building materials
Authors: H.El-Araby Entesar , H.Shabaan Doaa 
Published: September 2022

Abstract
Radon is a noble, radioactive gas produced by the radioactive decay of radium from the dissolution of uranium in soil, water, and various rocks in the environment, which leads to harm to humans and living organisms. The CR39 nuclear track detector was used to measure radioactive rates of radon in one hundred and five samples of different building materials (sand - ceramic - granite - marble -cement - gypsum - bricks) were collected from the Jazan region, Saudi Arabia. The average value of radon gas concentration for all samples of buildings used in the Kingdom of Saudi Arabia was 286.84 ± 33.35 Bq/Kg. The results show the highest value ​​of radiation doses in Royal Gold Granite with a value of 10.98 ± 0.87 mSv / year. The value of the quality coefficient was a correlation between the values of radium concentration and exhalation rates of building materials. As a result, it is advised not to use granite inside homes and only place it on the front of the house.
A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors
Authors: Moghadam Shima Mohammadi , Yeung Ted , Choisne Julie 
Published: September 2022

Abstract
Gait analysis outside the laboratory has been possible by recent advancements in wearable sensors like inertial measurement units (IMUs) and Electromypgraphy (EMG) sensors. The aim of this study was to compare performance of four different non-linear regression machine learning (ML) models to estimate lower-limb joints’ kinematics, kinetics, and muscle forces using IMUs and EMGs’ data. Seventeen healthy volunteers (9F, 28 ± 5 yrs) were asked to walk over-ground for a minimum of 16 trials. For each trial, marker trajectories and three force-plates data were recorded to calculate pelvis, hip, knee, and ankle kinematics and kinetics, and muscle forces (the targets) as well as 7 IMUs and 16 EMGs. The most important features from sensors’ data were extracted using Tsfresh python package and fed into 4 ML models; Artificial Neural Network (ANN), Random Forest (RF), Support Vector Machine (SVM) and Multivariate Adaptive Regression Spline (MARS) for targets’ prediction. The RF model outperformed the other ML models by providing lower prediction errors in all intended targets. This study suggested that a combination of wearable sensors’ data with an RF model is a promising tool to overcome limitations of traditional optical motion capture for 3D gait analysis.
The effect of host density on parasite infection: a case study of blue mussels Mytilus edulis and their trematode parasites
Authors: Levakin Ivan A. , Nikolaev Kirill E. , Galaktionov Kirill 
Published: September 2022

AbstractHost density is an important factor determining transmission success of parasites in marine ecosystems. Here we suggest a simple model linking mean abundance (the proportion of the number of parasite individuals found to the number of host individuals examined) and parasite density (parasite population per area) with the density of the host for parasites with a complex life cycle, where an infected host cannot be the source of infection for conspecifics. The model predicts a power-law dependence: negative for mean abundance and positive for parasite density. This means that the increase of the host density simultaneously reduces the average load per host individual and increases the transmission success of the parasite. For the case when host density is estimated “per unit area” (e.g., ind. per m2), our model predicts the exponents of this dependence of − 0.5 for mean abundance and 0.5 for parasite density. We tested the model on our data on accumulation of metacercariae of trematodesHimasthlaspp. andCercaria parvicaudata(Renicolasp.) in second intermediate hosts, musselsMytilus edulis, at the White Sea intertidal and found a good correspondence between the empirical data and the model (R2 = 0.7 — 0.9). A positive correlation between the density of the parasite population and the host density suggests that dense host settlements with a lower infection level (prevalence, mean abundance and mean intensity) should play a greater role in the transmission of the parasite than sparse settlements with a high infection level.
Gene dosage determines the behavioural phenotype in the 5xFAD mouse model of Alzheimer’s disease: analysis of the contribution of brain insulin signalling and gut microbiota
Authors: Medina-Vera Dina , Zambrana-Infantes Emma N , López-Gambero Antonio J , Gonzalez-Jimenez Andrés , Navarro Juan A , Pavón Francisco J , Baixeras Elena , Santín Luis J , Suárez Juan , Rosell Cristina , de Fonseca Fernando Rodríguez 
Published: September 2022

Abstract
Background: There are many hypotheses about the neuropathological origin of sporadic Alzheimer’s disease (AD). The amyloid cascade hypothesis remains the most widely accepted by the scientific community, although the role of amyloid-β (Aβ) as the sole cause of neuropathological features of the non-inherited form of AD is questionable.
Methods: The 5xFAD mouse model shows amyloid plaques formation and cognitive impairment from 4 months of age. However, no attention is paid to the effect of genetic load, heterozygous (HTZ) versus homozygous (HZ) condition, on the behaviour, histology, metabolic physiology, and composition of gut microbiota. We studied the phenotype of HTZ and HZ mice of both sexes at 4-6 months (early disease onset) and 10-12 months of age (late disease onset).
Results: We described that from 4-6 months old, both HTZ and HZ mice exhibited hippocampal impairment caused by accumulation of Aβ40 and Aβ42, increased neuroinflammatory markers and altered PI3K-Akt pathway. However, only HZ mice showed cognitive impairment in the Y-maze test and the Morris water maze. In addition, dysregulation of insulin-linked metabolic pathways was detected at the peripheral level between HTZ and HZ mice. This striking difference between behavioural, immunopathological and physiological phenotypes extends to the microbiota in terms of Firmicutes/Bacteroidetes ratio, being most pronounced in HZ mice at 10-12 months old.
Conclusions: Taken together, our results suggest that Aβ aggregation may not be the sole cause of worsening cognitive impairment, but that other factors such as PI3K-Akt, insulin-linked metabolic pathways, and microbiota composition could be influencing disease progression, allowing for alternative disease-modifying interventions.
Combination surgery for the treatment of habitual patellar dislocation in adolescents
Authors: Li Wei , Zhang De-Bao , Xu Sheng-Ming , Bi Huang-Yi , GU Gui-Shan 
Published: September 2022

Abstract
Objective The combination of lateral soft tissue release, medial soft tissue contraction, vastus medialis anterior placement, medial patellofemoral ligament reconstruction, and rectus femoris insertion reconstruction are introduced in the treatment of habitual patellar dislocation in adolescents.
Methods A retrospective analysis was performed on 12 patients (17 knees) with habitual patellar dislocation and unclosed epiphyses who underwent surgical treatment at the First Hospital of Jilin University from May 2017 to November 2021. The Lysholm scores and Q angle were collected pre-operatively and at final follow-up and were compared.
Results 12 patients (4 boys and 8 girls) aged 10–15 years were retrospectively analysed, who followed up for an average of 21 months (5–48 months). The range of motion of the knee joint returned to normal in all patients, and no cases of complications including surgical site infection, joint stiffness, or patellar re-dislocation occurred. The mean Lysholm scores and Q angles improved from 73.9, 19.6° preoperatively to 91.7, 13.9° at the final follow-up, respectively.
Conclusion The preliminary effect of the combination surgery for habitual patellar dislocation in adolescents was satisfactory.
Spatial transcriptomics identified mucin-specific O-glycosylation as a key pathway in pancreatic cancer development and a promising therapeutic target
Authors: Agostini Antonio , Guerriero Ilaria , Piro Geny , Inzani Frediano , Quero Giuseppe , Roberto Luca , Esposito Annachiara , Caggiano Alessia , Larghi Alberto , Alfieri Sergio , Bria Emilio , Corbo Vincenzo , Tortora Giampaolo , Carbone Carmine 
Published: September 2022

Abstract
BACKGROUND.
Intraductal papillary mucinous neoplasm (IPMN) are the most prevalent pancreatic cystic neoplasms which may progress to pancreatic ductal adenocarcinoma (PDAC), the most lethal solid malignancy. Therefore, patients suffering from this condition represent the ideal population where to address the efforts of identifying prevention or interception strategies. Here, we used spatial transcriptomics on IPMNs of different grade to identify mechanisms that are associated to the progression of those lesions toward invasive carcinomas.
METHODS.
We analysed 43 IPMNs grouped according to their dysplasia grade by digital spatial whole transcriptome analysis (GeoMX Human Whole Transcriptome Atlas). The high-resolution of the technology gave us the opportunity to define the genes activated along progression of IPMN to cancer, ruling out the background given by the non-neoplastic cells. The gene signature identified was validated for expression in an external validation cohort of IPMN patients and in TCGA dataset and as therapeutic target in in vitro 3D models and in in vivo syngeneic orthotopic model of PDAC.
RESULTS.
By spatial transcriptome profiling of IPMNs with different dysplasia grades, we identified more than 3000 genes differentially expressed between LGD-, HGD- IPMNs and during transformation into invasive carcinoma. One of the top differentially regulated gene signature, mucins-specific O-Glycosylation, was both validated in a cohort of patients (n=9) by immunofluorescence (IF) analysis and in TCGA dataset. Preclinical models of pancreatic cancer, including in vitro 3D and in vivo experiments confirmed the role of GCNT3 and mucins in protecting tumor cells from T-cells recognition.
CONCLUSIONS.
We identified more than 3000 genes differentially expressed between LGD- and HGD- IPMNs and along the transformation from IPMN into invasive carcinoma. These results shed light on the role of mucin-specific O-glycosylation in the IPMN progression and in PDAC offering suitable markers for the early diagnosis. Moreover, we demonstrated in in vitro 3D models and in vivo experiment that GCNT3, the main regulator of mucins post-translational modification, is an actionable target in PDAC, paving the way for the development of novel strategies to target the protective mucin barrier to enhance PDAC chemotherapy efficacy.
Summer Heatwaves Trends and Hotspots in the Barcelona Metropolitan Region (1914-2020)
Authors: Serra Carina , Lana Xavier , Martínez Maria-Dolors D. , Arellano Blanca , Roca Josep , Biere Rolando 
Published: September 2022

Abstract
Daily maximum, TX, and minimum, TN, temperatures recorded at Fabra Observatory, for the period 1914–2020 (from June to September), have permitted to identify the daytime and nighttime heatwaves, HWs, at Barcelona Metropolitan Region, BMR, along 107 years. Four indices have been computed both for maximum and minimum temperatures heatwaves: the number of events per season, HWN; their maximum duration, HWD; their frequency of occurrence, HWF; and the amplitude of the hottest day event, HWA. Trends in these indices have been obtained and their statistical significance quantified by means of the Mann-Kendall test. For the whole period (1914–2020), positive significant trends have been detected for the four indices corresponding to maximum and minimum temperatures. Nevertheless, when 30-year moving window datasets have been analysed, trends of different signs are obtained. The change in these signs, around 1960s, is outstanding, as well as the behaviour of the heatwaves since year 2000 for TX, and since 1985 for TN, when every year has at least one episode with high duration and amplitude. The convenience of using the four HW indices is evaluated applying a Principal Component Analysis, PCA. Additionally, the spatial distributions of the Modis land surface temperatures, LST, corresponding to some extreme heatwaves, permits the detection of two hotspots in the BMR, one of them for TX and the other for TN. It is also worth mentioning that correlations between Western Mediterranean Oscillation index, WeMOi, and HW episodes are detected, being notable that at the beginning of these episodes WEMOi values are usually lower.
A Framework for Transportation and Land Use Integration as a Parallel Constrained Multiple Discrete-continuous Extreme Value (PC-MDCEV) Home Production Model
Authors: Hawkins Jason , Habib Khandker Nurul 
Published: September 2022

Abstract
Integrated urban models (IUM) typically rely on a measure of accessibility or travel time to form the link between the transportation and land use systems. Such integration does not fully capture the tradeoffs made by households in how they spend their limited temporal and monetary budgets. We propose a microeconomic foundation for transportation and land use choice model integration based on the theory of home production. A utility function is developed that considers both household monetary expenditure and individual time use. We propose several innovations in model structure, which address the limitations of previous home production functions. First, the introduction of a parallel constrained multiple discrete-continuous extreme value (MDCEV) structure that allows for the inclusion of multi-person households in the model. Second, travel time is defined as the minimum time required to conduct an activity and deducted from the temporal budget. This assumption has several appealing features. It defines the minimum time to complete an activity as a measure of accessibility. An empirical application is provided for the Greater Toronto Area using a validated synthetic dataset. Finally, we provide several directions for future research to advance the practice of urban modeling and better capture the complex dynamics of household decision-making.
Topological Characterization of Statistically Clustered Networks for Molecular Similarity Analysis
Authors: Sambanthan Gurunathan , Thangaraj Yogalakshmi , Krishnan Balasubramanian 
Published: September 2022

Abstract
Statistical clustering technique is extensively employed in molecular similarity analysis where molecules can be clustered on the basis of Euclidean similarity distances derived from rules of similarity measures. Such clusters can be extremely useful in quantitative structure-property relations (QSPR) as any representative within a cluster would have properties similar to other members of the cluster. Consequently, topological techniques for the characterization of such statistical clusters can be useful in many areas including drug research. We compute distance-based topological indices of the statistical cluster networks such as Szeged, Padmakar-Ivan and Mostar indices which provide different measures such as centrality, peripherality, and other properties of the corresponding networks.
Optimization, Statistical and Adsorption Analysis of Cr(VI) using Corn Industry Sludge: Kinetic and Isotherm Studies
Authors: Kerur Shankramma S. , Hanagadakar Manjunath S. , Nandi Santosh S. , Sholapurmath Ratnamala , Hosamane Sateesh N. 
Published: September 2022

Abstract

A novel, cost-effective activated carbon was prepared from local corn industry waste sludge to treat chromium (VI) ions from an aqueous solution. Adsorption is one of the promising techniques for treating chromium. The adsorption efficiency depends on temperature, pH, metal ion concentrations, contact time, and adsorbent dose. Activation increase the adsorbent sites on the surface of the adsorbent, and SEM micrographs indicate the adsorption sites before and after adsorption. IR spectrum of FT-IR spectrophotometer was used for analysis Investigation of equilibrium adsorption isotherm data reveals suitability of corn industry waste for treating chromium (VI) ions. The adsorption isotherm and kinetics of chromium (VI) adsorption indicate agreement of the experimental data to Frendulich isotherm and pseudo-second-order model and chemisorption as the reason for Cr(VI) removal. The corn industry waste is thermally activated by heating in a controlled atmosphere at 500° C. Kinetic data studies elucidated that adsorption tracks a pseudo-second-order kinetic model. The maximum adsorption capacity and adsorption efficiency of chromium (VI) were found to be 6.80 mg/g at were pH of 4 with a contact time of 150 min and 91.43% using 1.5 g of adsorbent. The outcomes of corn industry sludge as the advantage of low-cost material and an effective adsorbent for Cr (VI) removal. The statistical analysis of adsorption was studied through response surface methodology (RSM). The experimental and theoretical values for percentage adsorption of Cr were observed as 92.91% and 91.43%, respectively. The experimental results closely agree with the central composite design.
Investigating the Performance of low-cost millimeter wave for long-distance Front haul RoF system based on Pre-distortion &amp; FBG techniques
Authors: Ali sevan Hussein , Al-Maqdici Raghad Zuhair Yousif 
Published: September 2022

Abstract
In this work, the effects of both Pre-distortion devices and fiber brag grating (FBG) techniques on the optical (mm-wave) in Front haul RoF have been investigated. The scope of this work is to design a simple and low-cost but efficient RoF mmm-wave-based system by utilizing a single Dual Drive Mach- Zehnder modulator (DDMZM) to feed up-converted baseband signals of different transmission rates 1,2.5, 5, 10 Gbps at input frequencies of 15, 30, 60, 65 GHz respectively. The Predistortion (PD) technique has been proven to enhance the linearity of transmitter amplifiers, which results in boosting the power efficiency of the proposed model and hence combats the non-linearity, which is one of the main problems in the RoF link. Two pulse generators have been tested in this work: Return-to-Zero (RZ) and Non-Return-to- Zero (NRZ). A single-mode fiber (SMF) is equipped with FBG to compensate for link dispersion along with an erbium-doped fiber amplifier (EDFA) and at a far terminal, an optical Gaussian filter (GOF) is employed to mitigate attenuation and band limit the optical received signal, respectively. The simulation results revealed that a Q-factor of around 8.67, and BER of 2.05E-18 can be achieved when combining both Pre-distortion and RZ format along with Pre-FBG technologies with a fiber link of 140km at 5Gbps bitrate utilizing 15 GHz local oscillator 60 GHz mm-wave. The findings showed that a 130 GHz mm-wave is generated with Q-factor of 7.4, and BER of 5.08E-14 with fiber length of 140 km and a data rate of 1Gbps.