Miracle-dz/UniFAR-FTUs huggingface dataset:
OTT_A_256696 6721..6733

*These authors contributed equally to this work Aim: Resistance to neoadjuvant chemoradiotherapy (NCRT) and tumor recurrence presents a major clinical problem in locally advanced rectal cancer (LARC) patients. This study aimed to explore a genetic risk score related to NCRT response and tumor recurrence in rectal cancer after NCRT. Materials and Methods: Weighted gene co-expression network analysis was employed to identify hub genes associated with NCRT response from the GSE93375 dataset. Prognostic hub genes were determined using Cox regression analysis and associated with disease-free survival (DFS). A risk score system was constructed and the prognostic significance of the risk score was validated in our patient cohort. A predictive nomogram for DFS was developed and validated internally. Results: The Tan module had the highest correlations with NCRT response. Ten hub genes (COL15A1, THBS2, ITGB1, MMP2, CD34, SPARC, NOTCH3, PDGFRB, DCN, and SERPINH1) were associated with NCRT response. Immunostaining expression of four genes (NOTCH3, SPARC, DCN, and ITGB1) was found to be significantly associated with both NCRT response and DFS in our patient cohort and was selected to build a prognostic risk score for DFS as follows: risk score= (0.6188×ExpNOTCH3) + (0.6511×ExpSPARC) + (−0.2976×ExpDCN) + (1.0035×ExpITGB1). Using this risk score, patients could be separated into highand low-risk groups for tumor recurrence. A nomogram that incorporated the risk score, ypTNM stage, and tumor regression grade (TRG) was constructed and utilized to predict DFS in LARC patients. Conclusion: The four-gene expression-based risk score system presented here could be potentially used for predicting tumor recurrence in LARC patients after NCRT.
IMMUNOMODULATORY EFFECT OF ASHWAGANDHA AGAINST DOXORUBICIN TOXICITY

Doxorubicin is a member of the Anthracyclin drug family and one of the most frequently used drug to treat many forms of cancer such as leukemia, lymphoma and solid tumors. Doxorubicin is an essential component of treatment for childhood solid tumors and aggressive lymphomas and shows activity in acute lymphoblastic or myeloblastic leukemias. The use of the drug induced cardio toxicity and affects the immune functions. This toxic side effect makes the problem during cancer chemotherapy causes myelosuppression, mucosal ulceration, alopecia and diarrhoea etc. The aim of the study was to evaluate therapeutic impact of Ashwagandha for ameliorating the toxic side effects being produced during doxorubicin administration. In the present investigation aqueous root extract of Ashwagandha @ 300 mg/kg b.w. was used against administration of doxorubicin @ 5 mg/kg b.w. in rats. White Blood Cell count, Platelets and Absolute Lymphocyte Count were observed for immune function. A marked reduction in total count of WBC, ALC and Platelets were observed on day 5 th however slight reduction in the above counts were also observedday 21 st . and elevated level of Lipid Peroxidaion was observed on day 21 st . When Ashwagandha @ 300 mg/kg b.w. administered five days prior to Doxorubicin administration and continued for 21 days, then significant increase in total count of WBC, ALC and Platelets were observed through out the cycle. Level of lipid Peroxidaion was also declined towards normal during cycle. Thus findings of present investigation showed that therapeutic potency of Ashwagandha ameliorate the toxicity produced during cancer chemotherapy.
Mast Cell Migration In Vitro and In Vivo The Role of the CCL2/CCR2 Axis in Mouse

Tissue-resident mast cells (MCs) are important in allergic diseases. In a mouse model of allergic airways inﬂammation, an increase in peribronchiolar MCs was associated with increased concentrations of the chemokine CCL2 in lung lavage. MC progenitors (MCps) arising in bone marrow (BM) are recruited to tissues by transendothelial migration, and we found that CCL2 is chemotactic for MCps in freshly isolated BM in vitro. Immature, but not mature, BM-derived MCs migrated in response to CCL2 when cultured in IL-3+stem cell factor (SCF) but not when cultured in IL-3 alone. However, the cells under both culture conditions expressed mRNA for CCR2, the receptor for CCL2, and bound the radiolabeled chemokine with similar afﬁnities, highlighting SCF as a key mediator in coupling CCR2 to downstream events, culminating in chemotaxis. Immature BM-derived MCs from IL-3 +SCF cultures, when administered i.v. , accumulated at skin sites injected with CCL2 in vivo. MCp recruitment to the allergen-sensitized/challenged lung was signiﬁcantly reduced in CCR2 2 / 2 and CCL2 2 / 2 mouse strains. However, reconstitution studies of sublethally irradiated and BM-reconstituted mice indicated that BM cells and stromal elements could provide CCL2, whereas the CCR2 function resided with stromal elements rather than BM cells. These experiments revealed a new function of SCF in chemokine receptor coupling, but they suggest a complex role of the CCL2/CCR2 axis in recruiting MCps during pulmonary
Near-infrared spectroscopy in process control and quality management of fruits and wine

Summary Recently, rapid quality assessment of food is an increasingly important topic. The rising demand of consumers for high quality products generates a need to establish fast and suitable analytical methods. Near-infrared (NIR) spectroscopy has turned out to be a time-saving, cheap, easy-to-use and environmentally friendly technique, which can be applied for the determination of manifold quality attributes in various kinds of food matrices. This article gives overview of the basic principles of near-infrared measurements and describes the im-mense field of applications, with the main focus on fruits, grapes and wine and the evaluation of wine aroma.
Hormones and clocks: do they disrupt the locks? Fluctuating estrogen levels during menopausal transition may influence clock genes and trigger

Chronic telogen effluvium describes the clinical condition noted mostly in middle-aged women of increased, diffuse scalp hair shedding that is prolonged and often presents with a fluctuating course that may continue for years but does not lead to visible hair thinning. Despite its description almost 20 years ago, the underlying pathologic cause of CTE is yet to be identified. However the culmination of research in the field of hair biology and the burgeoning field of chronobiology may lead to exciting breakthroughs in our understanding of CTE. In this paper the current literature on CTE is reviewed and a hypothesis is put forth that CTE may be triggered by hormonal fluctuations and alterations in circadian control genes.
SSBP1 Upregulation In Colorectal Cancer Regulates Mitochondrial Mass

Background: Colorectal cancers (CRC) are one of the most common forms of cancer seen worldwide, and also remain dif ﬁ cult to treat despite recent advances in chemotherapy. Although signi ﬁ cant progress has been made in recent years towards precision medicine and mutation-guided therapy, common mechanisms that underlie tumor growth and progres-sion remain incompletely understood. Methods: Tumor tissue and nearby unaffected tissue were collected from >15 patients at each stage of CRC, from which we generated representative proteomics pro ﬁ les of three stages. Bioinformatics analysis was performed to discover common differences that may be shared between the representative pro ﬁ les and across larger cohorts. Flow cytometry was then used to identify functional consequences of SSBP1 depletion in cell lines, since its expression level was consistently increased in tumor cells across all of the datasets analyzed. Results: Direct comparison of CRC tumor and unaffected tissue at each stage demonstrated that a number of proteins involved in mitochondrial function displayed signi ﬁ cantly altered expression patterns. Depletion of SSBP1 in colon cancer cell lines was able to trigger loss of mitochondrial mass and an increase in tumor cell death, and this effect that was further accentuated in the presence of the common chemotherapy drug cisplatin. Conclusion: Mitochondrial biogenesis and maintenance may play an important part in tumor cell survival during CRC progression, and may be a useful target for directed inhibition or adjuvant targeting in the cases of cisplatin resistance.
Bottom-up metabolic reconstruction of Arabidopsis thaliana and its application to determining the metabolic costs of enzyme production

Summary A large-scale metabolic model of Arabidopsis thaliana with three condition-specific biomass compositions is assembled in a bottom-up fashion and is fully manually curated. It is utilized to estimate the enzyme costs of ribulose-1,5-bisphosphate carboxylase oxygenase. Abstract Large-scale modeling of plant metabolism provides the possibility to compare and contrast different cellular and environmental scenarios with the ultimate aim of identifying the components underlying the respective plant behavior. The existing models of Arabidopsis thaliana (Arabidopsis) are top-down assembled whereby the starting point is the annotated genome, in particular, the metabolic genes. Hence, dead-end metabolites and blocked reactions can arise which are subsequently addressed by using gap-filling algorithms in combination with species-unspecific genes. Here we present a bottom-up assembled, large-scale model which relies solely on Arabidopsis-specific annotations and results in inclusion only of manually curated reactions. While the existing models are largely condition-unspecific by employing a single biomass reaction, we provide three biomass compositions which pertain to realistic and frequently examined scenarios: carbon-limiting, nitrogen-limiting and optimal growth conditions. The comparative analysis indicates that the proposed Arabidopsis core model exhibits comparable efficiency in carbon utilization and flexibility to the existing network alternatives. Moreover, the model is utilized to quantify the energy demand of amino acid and enzyme de novo synthesis in photoautotrophic growth conditions. Illustrated on the case of the most abundant protein in the world, ribulose-1,5-bisphosphate carboxylase oxygenase, we determine its synthesis cost in terms of ATP requirements. This, in turn, allows us to explore the trade-off between protein synthesis and growth in Arabidopsis. Altogether, the model provides a solid basis for completely species-specific integration of high-throughput data, such as gene expression levels, and for condition-specific investigations of in silico metabolic engineering strategies.
of CP-violating asymmetries in decays.

We present measurements of CP -violating asymmetries in the decay B 0 ! a (cid:1) 1 (cid:2) 1260 (cid:3) (cid:1) (cid:4) with a (cid:1) 1 (cid:2) 1260 (cid:3)! (cid:1) (cid:4) (cid:1) (cid:1) (cid:1) (cid:1) . The data sample corresponds to 384 (cid:5) 10 6 B (cid:1) B pairs collected with the BABAR detector at the PEP-II asymmetric B factory at SLAC. We measure the CP -violating asymmetry A a 1 (cid:1) CP (cid:6) (cid:7) 0 : 07 (cid:1) 0 : 07 (cid:1) 0 : 02 , the mixing-induced CP violation parameter S a 1 (cid:1) (cid:6) 0 : 37 (cid:1) 0 : 21 (cid:1) 0 : 07 , the direct
Influence of Physical Activity Level on Saudi Reference Values of 6-Minute Walk Test

: Reference value is essential to guide the diagnostic and prognostic use of the 6- minute walk test (6-MWT). This work aimed to answer the question: Does the physical activity level influence the Saudi reference values of 6-MWT? Participant's physical activity level was calculated using the Last 7-Days International Physical Activity Questionnaire (IPAQ) and was expressed as high, moderate and low levels. The predictive power of the studied characters (demographic, anthropometric, cardiovascular and pulmonary) and physical activity level to estimate the 6-minute walked distance (MWD) was evaluated. Results revealed that participants in the current study were 359 Saudi healthy subjects (70.5% females). They aged from 18 to 71 years mean±SD was (31.0±14.0 years). Results showed a significant (p= 0.0001) decrease in 6-MWD with increase of age. In addition, within the different age groups, men showed longer 6-MWD than women (503.3 and 471.1 meters respectively). In all age groups, there were significant increase in 6-MWD from low, moderate, to high physical activity level. Physical activity level, age and gender were the predictor factors for 6-MWD of Saudi healthy subjects [6-MWD= (74.31 X physical activity level) + (33.88 X gender) – (4.25 X age) + 342.65]. This regression model explained 67.8% of the walked distance variance. In conclusion, the physical activity level influenced the reference values of 6-MWT of healthy Saudi subjects aged from 18-71 years.
Hypoxic Conditions IL-4 Is Proangiogenic in the Lung under

IL-4-mediated proangiogenic and proinﬂammatory vascular responses have been implicated in the pathogenesis of chronic lung diseases such as asthma. Although it is well known that hypoxia induces pulmonary angiogenesis and vascular alter-ations, the underlying mechanism of IL-4 on the pulmonary vasculature under hypoxic conditions remains unknown. In this context, we designed the present study to determine the functional importance of IL-4 for pulmonary angiogenesis under hypoxic conditions using IL-4 knockout (KO) animals. Our results show that hypoxia signiﬁcantly increased IL-4R (cid:1) expression in wild-type (WT) control lungs. Even though hypoxia signiﬁcantly up-regulated vascular endothelial growth factor (VEGF) receptor expression in the lungs of both genotypes, hypoxia-induced VEGF, VCAM-1, HIF-1 (cid:1) , and ERK phosphorylation were signiﬁcantly diminished in IL-4 KO lungs as compared with WT control lungs. In addition, hypoxia-induced pulmonary angiogenesis and proliferating activities in the airway and pulmonary artery were signiﬁcantly suppressed in IL-4 KO lungs as compared with WT control lungs. We also isolated primary lung ﬁbroblasts from these genotypes and stimulated these cells with hypoxia. Hypoxia-induced VEGF production was signiﬁcantly suppressed in lung ﬁbroblasts from IL-4 KO mice. These in vitro results are in accordance with the in vivo data. Furthermore, we observed a signiﬁcant increase of hypoxia-induced pulmonary angiogenesis in STAT6 KO mice similar to that in WT controls. In conclusion, IL-4 has proangiogenic properties in the lung under hypoxic conditions via the VEGF pathway, and this is independent of the STAT6 pathway. The Journal of Immunology, 2009, 182: 5469–5476.
Evaluation of a Freely Available Sensor Racket as a Diagnostic and Training Tool in Elite Badminton

To avoid the drawbacks of optical video-based motion capture systems and due to the ongoing miniaturization of integrated sensors, an increasing variety of sensor-based systems has been used for motion capture in sports. Meanwhile, there are ready-made, commercially available solutions that claim to be capable of recording reliable kinematic data. This research project focuses on the question of whether a commercially available badminton racket with an integrated sensor device (Oliver® Plasma TX 5) provides meaningful data for diagnostic and training purposes in elite sports. Therefore, 16 elite badminton players executed jump smashes using this sensor racket while the kinematics of the stroke technique were recorded using a high speed video-based system. Bland-Altman plots were applied to analyze the agreement between the two systems. The plots revealed a systematic bias and 95% limits of agreement ranging from 6% to 23%: The detection of stroke techniques showed a 42% rate of success. These data show that the measurement accuracy of the sensor racket is not sufficient for use in diagnostics or training. Future development of the sensor racket could include a method to calibrate the system prior to a measurement, in addition to correcting the underlying algorithm to reduce the bias.
Active nature of dependency formation: The online processing of tough -constructions* 1

Lew, Jeongho and Nayoun Kim. 2022. Active nature of dependency formation: The online processing of tough -constructions. Linguistic Research 39(1): 127-153. Previous research has demonstrated that filler-gap dependency formation is an active process in which gap filling occurs at the earliest possible gap site, in advance of identifying the location of the actual gap (Crain and Fodor 1985; Frazier 1987; Frazier and Clifton 1989; Frazier and Flores d’Arcais 1989; Omaki et al. 2015; Stowe 1986). In this study, we investigated whether this active gap filling is at work in the processing of tough -constructions. In tough -constructions, the matrix subject has to be associated with a gap in the embedded clause (Chomsky 1977; Keine and Poole 2017; Lasnik and Fiengo 1974; Rezac 2006). However, unlike a wh -phrase in wh -questions or relative clause constructions, the matrix subject in tough -constructions does not guarantee the presence of a gap. The results of a self-paced reading experiment indicated that active gap filling is nonetheless operative in the processing of tough -constructions, providing further evidence for the active nature of dependency formation. (Sungkyunkwan University) persistent search for the suitable antecedent when the first predictions regarding the position of the gap is disconfirmed). Our results, however, revealed no significant effects at this particular region, contrary to our predictions. For now, we don’t have definite answers as to why this particular effects would not appear, provided that early gap-filling did show up. We thank an anonymous reviewer for bringing this point into our attention, and leave this interesting puzzle for our future research.
Non-Point Source Pollution Modelling: An Overview

: The objective of this paper is to provide a critical evaluation of the data available from existing studies concerning non-point source pollution (NPS). NPS pollution is complex and difficult to detect and manage when compared with point source pollution. To tackle its risk, it is vital to have precise simulations and estimations of NPS pollutants. Different modelling techniques applied to NPS pollution were reviewed and classified as either physically-based models or empirical. The physically-based models (White box models) can be used both for long- term and daily time steps. They require initial model data as well as watershed morphological and physiographic, which makes them complex and not easy to use. Empirical models on the other hand are called black-box models or metric models and can be used for both long-term, daily time steps with minimal data requirement and requires less skill to operate. Although their results are easy to interpret, these types of models are only suitable within the boundary of a certain domain. The findings of this review will serve as a guide to water resource planners in identifying the type of NPS model they need to
E-data Utilization on National-Health Service Performance Assessment during Covid-19 in Bangladesh: New evidence using data envelopment analysis (DEA) technique

Making the entire world extremely nervous, more than the quarter of a year has gone past since the global breakout of deadly respiratory illness, named Coronavirus Disease-2019 (CoViD-19), over nine million people across the globe have already been infected with more than five percent death rate, and the number is still ascending at a tremendously frightening rate. This study has been driven to identify the adequacy and quality of responses from national health facilities in Bangladesh during this epidemic and discern the stimulates that influence the entire system. With an in-depth exercise of a nonparametric statistical method for proficiency weighting, namely the Data Envelopment Analysis (DEA) technique, the objective of this study of evaluating the thorough response and performance of the Bangladeshi National Health Service has been placed in efforts to be achieved. With the outcome, the method and operation of assessing the effective responsiveness, capability, and appropriate organization of the national health services (NHS) in Bangladesh during the ongoing COVID-19 pandemic have been revealed. It has also been specifically identified that this country’s health system does not possess material mastery on input variables;neither do they have strong dominance over output variables. With a view to minimizing the expenditure, they should have decreased input variables alongside enhancing input resources thoroughly to deal with this pandemic with stringent governance. Direction and limitation of future research endeavors in this area may be indicated by this study. National responses across the globe can also be benchmarked. © 2021 International Consortium for Electronic Business. All rights reserved.
Ameliorative Role of Red Grape Juice on Hypercholesteremia - Induced changes in Aorta and Coronaries in Rats

: A lot of researches reported the role of free radicals in comprising structural integrity and function of cardiovascular elements.Red grape juice was known to be rich in antioxidants.Thus the main objective of the present study was focused on evaluating its efficacy for protection against hypocholesteremia induced changes in rat aorta and coronary vessels.A total number of 24 apparently healthy albino male rats (200 to 250 gm) were allocated into 4 groups (N=6) GI: (Control negative) received standard rat pellet; GII: fed standard diet + cholesterol; GIII: fed a high fat meal plus 50% grape juice (1:1 D.W.) as an alternative to drinking water; GIV: red grape juice was given as 100% for 8 hours then replaced by water. The experiment lasted for 3 months. Samples of blood were collected before and after the experiment for the analysis of Lipid Profile and blood pressure were measured before animal sacrifice. The heart and thoracic aorta were dissected for microscopic examination. The results showed that red grape juice 100% provided protection against fat deposition in aortic wall. , followed by the group that administrated 50% juice. Similar protection was observed in coronaries. Lipid profile proved marked amelioration of increased serum levels of hyperlipidemic elements. Also blood pressure was controlled in treated animals. Conclusion, red grapes juices exerted effective reduction of lipid profile in rat model of hypercholesteremia which seemed to have impact on the protection of the aorta and coronaries against high cholesterol induced atherosclerosis.
Identification of COVID-19 on chest radiographs

Millions of people have died worldwide as a result of the Covid-19 epidemic, which began in December 2019. We design a method of precisely and quickly diagnosing a patient to lessen the severity. We begin by collecting the chest X-ray dataset, after which we develop the various models utilizing Machine Learning (ML) and Deep Learning (DL) approaches, primarily Convolutional Neural Networks (CNN). The algorithms in question include K-nearest neighbor (K-NN), Random Forest (RF), VGG19, ResNet, DenseNet121, InceptionV3, and Xception, to name a few. We can recognize Covid-19 in the photographs and use these photographs to compare the accuracy of the various models. The best model, according to the results, is VGG19 with fine-tuning, which has a 94.34 percent accuracy.