Miracle-dz/UniFAR-FTUs huggingface dataset:
LncRNA H19 Suppresses Osteosarcomagenesis by Regulating snoRNAs and DNA Repair Protein Complexes

Osteosarcoma is one of the most frequent common primary malignant tumors in childhood and adolescence. Long non-coding RNAs (lncRNAs) have been reported to regulate the initiation and progression of tumors. However, the exact molecular mechanisms involving lncRNA in osteosarcomagenesis remain largely unknown. Li-Fraumeni syndrome (LFS) is a familial cancer syndrome caused by germline p53 mutation. We investigated the tumor suppressor function of lncRNA H19 in LFS-associated osteosarcoma. Analyzing H19-induced transcriptome alterations in LFS induced pluripotent stem cell (iPSC)-derived osteoblasts, we unexpectedly discovered a large group of snoRNAs whose expression was significantly affected by H19. We identified SNORA7A among the H19-suppressed snoRNAs. SNORA7A restoration impairs H19-mediated osteogenesis and tumor suppression, indicating an oncogenic role of SNORA7A. TCGA analysis indicated that SNORA7A expression is associated with activation of oncogenic signaling and poor survival in cancer patients. Using an optimized streptavidin-binding RNA aptamer designed from H19 lncRNA, we revealed that H19-tethered protein complexes include proteins critical for DNA damage response and repair, confirming H19's tumor suppressor role. In summary, our findings demonstrate a critical role of H19-modulated SNORA7A expression in LFS-associated osteosarcomas.
Modeling Thermal Suitability for Reindeer (Rangifer tarandus ssp.) Brainworm (Elaphostrongylus rangiferi) Transmission in Fennoscandia

The brainworm, Elaphostrongylus rangiferi, is a nematode which causes neurological disorders (elaphostrongylosis) in reindeer (Rangifer tarandus ssp.). Favorable climatic conditions have been inferred as the cause of sporadic outbreaks of elaphostrongylosis in Norway, supported by positive associations between observed outbreaks/intensity of infection and summer temperatures in the previous years. Climate warming which results in increased transmission of E. rangiferi therefore presents a risk to the health of semi-domesticated and wild reindeer in Fennoscandia (Norway, Sweden, and Finland), the health of co-grazing small ruminants, and the livelihoods of indigenous Sámi herders. As a first step toward developing climate change impact assessments for E. rangiferi, a degree-day model was developed for larval development in a range of gastropod hosts and applied to historic weather data. Predictions were validated by statistical and qualitative comparison against historic parasitological and outbreak records. The model predicted an overall increase in thermal suitability for E. rangiferi, which was statistically significant in the north and along the Scandinavian mountain ranges, where reindeer density is highest. In these regions annual cumulative temperature conditions are suitable for larval development within a single year, potentially changing E. rangiferi epidemiology from a 2-year transmission cycle to a 1-year transmission cycle. This is the first mechanistic model developed for E. rangiferi and could be used to inform veterinary risk assessments on a broad spatial scale. Limitations and further developments are discussed.
Move and Be Moved: The Effect of Moving Specific Movement Elements on the Experience of Happiness

Dynamic body feedback is used in dance movement therapy (DMT), with the aim to facilitate emotional expression and a change of emotional state through movement and dance for individuals with psychosocial or psychiatric complaints. It has been demonstrated that moving in a specific way can evoke and regulate related emotions. The current study aimed to investigate the effects of executing a unique set of kinetic movement elements on an individual mover’s experience of happiness. A specific sequence consisting of movement elements that recent studies have related to the feeling of happiness was created and used in a series of conditions. To achieve a more realistic reflection of DMT practice, the study incorporated the interpersonal dimension between the dance movement therapist (DMTh) and the client, and the impact of this interbodily feedback on the emotional state of the client. This quantitative study was conducted in a within-subject design. Five male and 20 female participants (mean age = 20.72) participated in three conditions: a solo executed movement sequence, a movement sequence executed with a DMTh who attuned and mirrored the movements, and a solo executed movement sequence not associated with feelings of happiness. Participants were only informed about the movements and not the feelings that may be provoked by these movements. The effects on individuals were measured using the Positive and Negative Affect Schedule and visual analog scales. Results showed that a specific movement sequence based on movement elements associated with happiness executed with a DMTh can significantly enhance the corresponding affective state. An additional finding of this study indicated that facilitating expressed emotion through movement elements that are not associated with happiness can enhance feelings such as empowerment, pride, and determination, which are experienced as part of positive affect. The results show the impact of specific full-body movement elements on the emotional state and the support outcome of DMT on emotion regulation.
A Markov Chain Position Prediction Model Based on Multidimensional Correction

User location prediction in location-based social networks can predict the density of people flow well in terms of intelligent transportation, which can make corresponding adjustments in time to make traffic smooth, reduce fuel consumption, reduce greenhouse gas emissions, and help build a green cycle low-carbon transportation green system. -is paper proposes a Markov chain position prediction model based on multidimensional correction (MDC-MCM). Firstly, extract corresponding information from the user’s historical check-in position sequence as a position-position conversion map. Secondly, the influence of check-in period, space distance, and other factors on the position prediction is linearly weighted andmerged with the position prediction of the n-orderMarkov chain to constructMDC-MCM. Finally, we conduct a comprehensive performance evaluation ofMDC-MCM using the dataset collected from Brightkite. Experimental results show that compared with other advanced location prediction technologies, MDC-MCM achieves better location prediction results.
AI-Enabled Sensing and Decision-Making for IoT Systems

The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research.
Data Mining Algorithm for Demand Forecast Analysis on Flash Sales Platform

With the development of the digital economy, the emerging marketing strategy of the e-commerce flash sales has been changing the traditional purchasing habits of customers. This imposes new decision-making challenges for companies involved in flash sales. It is important for companies to build the accurate product demand forecast analysis focusing on the characteristics of the flash sales and customer behaviors. In this paper, VIPS (Weipinhui, a Chinese e-commerce platform) is taken as a case study with the key focus on how sentiment factors in customer reviews affect product demand in flash sale platforms. The paper adopts two sentiment analysis methods based on emotional dictionaries. The method with a higher evaluation index is adopted to integrate the emotional factors into the autoregressive model for product demand and assessment. The experiments prove that the autoregressive model for integrating the sentiment factors demonstrates better forecasting performances than the models without sentiment factors. The experiments further confirm that when product demand for the previous two weeks and customer review sentiment factors in the previous week are taken into consideration, demand forecast effects are most accurate.
Removal of Phenol from Aqueous Solution Using Ostrich Feathers Ash

Background and purpose: Phenol is an organic pollutant that is found in industrial effluents and is very toxic to human and the environment. The purpose of this study was to use the ostrich feathers ash as a natural absorbent to remove phenol from aqueous solution. Materials and methods: For this study, ostrich feather ash was used as a new adsorbent in removal of phenol at different doses (0.2, 0.3, 0.5, 0.7, 1, 1.5, 2 and 3 g). Changes following the effect of contact time, pH, adsorbent dose, temperature and initial phenol concentration have been recorded. Then, the adsorption data were described with Langmuir and Freundlich adsorption isotherms and Excel software was used for data analysis. Results: There is a dose-dependent relationship between phend adsorption by absorbent at doses ranging from 0.2-2 g. The adsorption of phenol decreases following an increase in the pH of the solution. Also, it is observed that the contact time significantly affects the rate of phenol adsorption (77%) from solution. Conclusion: Generally, the studied adsorbent was applied successfully for treating industrial water samples and aqueous solution.
“Analysis of immunohistochemical expression of epidermal growth factor receptor in oral squamous cell carcinoma using tissue microarray technology and whole sections:” A comparative study

Background: Oral squamous cell carcinoma (OSCC) accounts for more than 90% of all oral cancers. Epidermal growth factor receptor (EGFR) dysregulation is associated with essentially all of the key features of cancer. Tissue microarrays (TMAs) allow the simultaneous analysis of many tumours using small-diameter cores sampled from larger blocks of tissue. Hence present study was taken up to validate TMA technology. Aims and Objectives: To analyse and compare the immunohistochemical (IHC) expression of EGFR in OSCC using TMA technology and in whole tissue sections. Materials and Methods: Study included 34 cases of OSCC.Three tissue cores, each 1 mm in diameter were placed into a recipient paraffin block using a precision microarray instrument finally containing 102 spots. EGFR expression was analysed. Agreement between whole sections and TMA scores was analysed using Cohen's weighted Kappa. Results: EGFR expression was seen in 61.8% of whole section cases. In TMA out of 102 cores 75.50 % of the disks were confirmed to represent an adequate amount of tumor tissue. In TMA 48.5% cases showed EGFR expression.The EGFR expression of whole. Conclusion: Some OSCC express high EGFR and this expression may be an independent Wfactor of certain clinico-pathological variables. TMA may be used as an adjunct with conventional method of evaluation of OSCC especially in larger sample sized studies keeping in mind its limitations.
How genetic variation was analyzed in phenytoin-induced gingival enlargement using single-nucleotide polymorphism of candidate gene CYP2C9?

Background: Phenytoin-induced gingival overgrowth is an adverse drug reaction affecting few individuals, on phenytoin therapy for its antiepileptic effect. Analysis of genetic variation of CYP2C9*2 gene was done to identify the action of metabolic enzyme cytochrome P 450 on this drug. The main background of this publication is a quick review about one of the molecular techniques used to identify the single-nucleotide polymorphism (SNP) using polymerase chain reaction coupled with restriction fragment length polymorphism (PCR-RFLP). Materials and Methods: Deoxyribonucleic acid (DNA) was extracted from 5 ml of venous blood withdrawn from the individual, who had gingival overgrowth following phenytoin therapy. DNA was isolated, using the phenol-chloroform method. Isolated DNA was used for SNP analysis of CYP2C9*2 presentation. The basic procedure used for SNP analysis in our case was PCR-RFLP. Results: Genetic variation of CYP2C9*2 in our case was homomutant. Conclusion: The etiology of phenytoin-induced gingival overgrowth is always an enigma, but it is now becoming clearer that a multifactorial role may be involved in the cause. One of the factors analyzed was polymorphism of CYP2C9*2 gene and it was found to be homomutant in our case. Adverse drug reaction can be minimized, by either reducing the drug dosage or drug substitution. However, larger scale genome-wide study has to be carried out to confirm one of the etiopathogenesis as mutation of the CYP2C9 gene, in phenytoin-induced gingival overgrowth.
Infrared Spectrum and Structure of Hydrogenated Amorphous Silicon

The ir absorption spectrum of hydrogenated amorphous silicon is discussed in the context of structural models for this material. It is shown that the integrated strength of the bond stretching bands in hydrogenated amorphous silicon cannot be used to determine the hydrogen concentration because the local effective charge for ir absorption is a function of hydrogen concentration and sample preparation. The effective charge for the wagging—rocking—rolling vibrations at 640 cm−1, however, is independent of hydrogen concentration and sample preparation. Hence the integrated strength of this band can be used to measure the hydrogen concentration provided the proportionality constant is determined empirically. Changes in the ir absorption bands as a function of isochronal annealing temperature show that two different types of bonds contribute to the bond stretching band at 2100 cm−1. The bond bending bands at 890 and 840 cm−1 are associated with one of the bonds producing the 2100 cm−1 stretching band. The relative strengths of the 890 and 840 cm−1 bands to the 2100 cm−1 band depend strongly on the film preparation method: the glow discharge produced films show much stronger bending bands than those produced by rf sputtering. A structural model for hydrogenated amorphous silicon is presented in which a Maxwell-Garnett-type local field correction, which is dependent on the dipole location within a microvoid and the shape of the microvoid, is used to explain the data. Das IR-Absorptionsspektrum von hydrogenisiertem, amorphem Silizium wird im Zusammenhang mit Strukturmodellen fur dieses Material untersucht. Es wird gezeigt, das die integrale Starke der ‚bond-stretching’-Banden in hydrogenisiertem, amorphem Silizium nicht fur die Bestimmung der Wasserstoffkonzentration benutzt werden kann, weil die lokale effektive Ladung fur die IR-Absorption eine Funktion der Wasserstoffkonzentration und Probenpraparation ist. Die effektive Ladung fur die ‚wagging—rocking—rolling’-Schwingungen bei 640 cm−1 ist jedoch unabhangig von der Wasserstoffkonzentration und Probenpraparation. Somit kann die integrale Starke dieser Bande benutzt werden, um die Wasserstoffkonzentration zu messen, vorausgesetzt, das die Proportionalitatskonstante empirisch bestimmt wird. Anderungen in den IR-Absorptionsbanden in Abhangigkeit von der isochronen Temperungstemperatur zeigen, das zwei unterschiedliche Bindungsarten zur ‚bond-stretching’-Bande bei 2100 cm−1 beitragen. Die ‚bond-bending’-Banden bei 890 und 840 cm−1 sind mit einer der Bindungen verknupft, die die 2100 cm−1-Stretching-Bande hervorrufen. Die relativen Starken der 890- und 840-cm−1-Banden zur 2100 cm−1-Bande hangen stark von der Schichtherstellungsmethode ab: die durch Glimmentladung hergestellten Schichten zeigen viel starkere Bindungsbanden als die durch HF-Sputtern hergestellten. Ein Strukturmodell fur hydrogenisiertes, amorphes Silizium wird angegeben, in dem eine lokale Feld-korrektur vom Maxwell-Garnett-Typ benutzt wird, die von der Dipollokalisierung im Innern eines Mikrohohlraumes und der Form des Mikrohohlraums abhangt, um die Werte zu erklaren.
Modification of Anti-acne Bawang Dayak (Eleutherine bulbosa (Mill.)Urb.) Cream to Propionibacterium acnes

Bawang dayak is one of the traditional medicines in Central Kalimantan, used to treat acne vulgaris. Previous research reported that a cream made with bawang dayak extract's active ingredient could inhibit Propionibacterium acnes' growth. However, bawang dayak has a pungent odor that causes discomfort, where the cream separates after 3 days of storage, which decreases its potency. This study aims to improve the quality of the anti-acne cream formulation of bawang dayak extract from previous studies with the addition of cinnamon, honey, and peppermint. The modified formula of bawang dayak extract cream was evaluated and tested for its antibacterial activity in vitro. The results showed an increase in the organoleptic test, especially the smell, which gave a more comfortable fragrance than the previous formula. The pH measurement of the cream shows the results suitable for topical applications. However, the homogeneity observations show that all the formulas are homogeneous, seen from uniform colors but contain coarse grains. The antibacterial activity test of all cream formulations against P. acnes showed inhibition zone diameter between 14.85 and 17.10 mm, all of which were moderate and larger than previous studies. It can be concluded that the modification of the cream formula with the active ingredient of bawang dayak extract showed an increase in the inhibition zone against P. acnes and improved organoleptic properties.
The Effects of Adding Lysin Essential Amino Acid to Commercial Feed on Fatty Acid Contents of Pangasius Fish

Pangasius is a medium to very large freshwater shark catfish primarily used for consumption with high economic value. The content of pangasius fatty acids is higher than in marine fish, since marine fish have a lower saturated fatty acid composition than freshwater fish. The present research aimed to determine the effects of adding lysine essential amino acid to commercial feeds on the saturated and unsaturated fatty acids contents of pangasius fish. In the present research, an experimental method with completely randomized design was used. The treatment was done by adding lysine with different doses including P0 (0%), P1 (1.2%), P2 (2.2%), and P3 (3.2%). Each treatment was repeated five times. The main parameters studied were the content of saturated and unsaturated fatty acids in pangasius fish meat. The observed parameter was water quality. The present results indicated the use of lysine in commercial feed caused significant differences in the content of saturated fatty acids, Monounsaturated Fatty Acids (MUFA) and Polyunsaturated Fatty Acids (PUFA) in pangasius meat; a decrease in the saturated fatty acids content was found in P3 with 3.2% (3.5882 mg/dl). In P2, an increase in the MUFA content of 2.2% (5.9630 mg/dl) was found. An increase in the PUFA content was found in P3 treatment with 3.2% Lysin (23.1082 mg/dl). P1, P2 and P3 indicated lower results than control treatments (P0). The use of lysine in commercial feed indicated significant differences in the content of saturated fatty acids, MUFA and PUFA in pangasius.
Antioxidant Activities of Some Red, Black and White Rice Cultivar from West Sumatra, Indonesia

Food with antioxidant is very important to reduce the radical activity can caused oxidative stress. Antioxidant react as scavenger to reduce the radical actions, polyphenols were the common antioxidant in some plants. Colored rice which have some pigment have contribution as antioxidant activity. Red and black pigment on the rice seeds which give color to colored rice were polyphenols. We identified the 1,1-Diphenyl- 2-picrylhydrazyl (DPPH), radical scavenging activity, total polyphenol, anthocyanin and protein content of eighteen colored rice from West Sumatra Indonesia, nine red rice cultivar, six black rice cultivar and two white rice cultivar as control. We found that some of the colored rice were polished at various level. The aim of this study was to identifiy the antioxidant activity of colored rice include polished and non polished rice. The result showed that the non polished colored rice have higher antioxidant activity than white rice. A variety of red rice cultivar from Solok Selatan was the best cultivar among other with antioxidant activity 54.2% at concentration 0.25 mg/ml, total polyphenol content 31.3 mg/ml and protein content 7.9%.
Photocurable and thermally stable polymers based on 1,4‐pentadien‐3‐one‐1‐p‐hydroxyphenyl‐5‐p‐phenyl methacrylate: Copolymerization with ethyl acrylate

1,4-Pentadien-3-one-1,5-bis(p-hydroxyphenyl) (PBHP) was prepared by reacting p-hydroxybenzaldehyde and acetone in the presence of an acid catalyst. 1,4-Pentadiene-3-one-1-p-hydroxyphenyl-5-p-phenyl methacrylate (PHPPMA) monomer was prepared by reacting PBHP dissolved in ethyl methyl ketone (EMK) with methacryloyl chloride in the presence of triethylamine. A free-radical solution polymerization technique was used for synthesizing homo- and copolymers of different feed compositions of PHPPMA and ethyl acrylate (EA) in EMK as a solvent with benzoyl peroxide as a free-radical initiator at 70 ± 1 °C. All the polymers were characterized with IR and 1 H NMR techniques. The compositions of the copolymers were determined with the 1 H NMR technique. The copolymer reactivity ratios were evolved with Kelen-Tudos (EA = 1.25 and PHPPMA = 0.09 ) and extended Kelen-Tudos (EA = 1.30 and PHPPMA = 0.09) methods. Q (0.48) and e (1.68) values for the new monomer (PHPPMA) were calculated with the Alfrey-Price method. UV absorption spectra for poly(PHPPMA) showed two absorption bands at 302 and 315 nm. The photocrosslinking properties of the polymer samples were examined with the solvent method. Thermal analyses of the polymers were performed with the thermogravimetric-differential thermogravimetric technique. First, the decomposition temperatures started for poly(PHPPMA), copoly(EA-PHPPMA) (62:38), and copoly(EA-PHPPMA) (41:59) were at 350, 410, and 417 °C, respectively. A gel permeation chromatographic method was used for determining the polymer molecular weights (weight-average molecular weight: 2.67 x 10 4 and number-average molecular weight: 1.41 x 10 4 ) and polydispersity index (1.89). The solubility of the monomer and the copolymers occurred at 30 °C with solvents having different polarities.
Ship Wake Trails Segmentation for Maritime Optical Images

We propose a novel ship wake trails segmentation algorithm for maritime optical images. The proposed algorithm ﬁrst detects the horizon and removes the sky region to prevent false segmentations. Then, we obtain a feature map of the sea region by employing brightness and chromatic distortions. By thresholding the feature map, we obtain a rough estimate of wake trails. Finally, the wake trails are reﬁned by using the shape prior information and statistics of the color channels. Experimental results show that the proposed algorithm can eﬀectively segment wake trails in maritime images.