Miracle-dz/UniFAR-FTUs huggingface dataset:
A Machine Learning Based Scheme for Indoor/Outdoor Classification in Wireless Communication Networks

Fifth generation (5G) New Radio (NR), was developed to offer more flexibility to meet new service requirements. Meanwhile, machine learning (ML) has proven successful in a variety of tasks, such as natural language processing, computer vision, and pattern recognition, in particular, which is proven to have a performance that is proportional to the total amount of available data. In NR, the capability to locate users is still one of the critical obstacles when mobile operator is planning and optimizing the cellular networks. Developing the technique to distinguish indoor from outdoor users' traffic pattern can achieve higher efficiency in terms of resource management and which results in larger economic benefit. In this paper, we present a pattern classifier based on decision tree to solve the indoor/outdoor classification problem. More specifically, rules for classification of indoor/outdoor users are generated by repeatedly splitting the features from cellular network key performance indicators (KPIs) which utilize the measurement criteria of entropy from the information theory community.
The Importance of Realistic Training Deformations for Respiratory CT Registration

Deep learning enables fast deformable medical image registration but requires large training datasets, which are currently scarce. To overcome this, synthetic deformations can be generated to create and augment the training data. We propose a method that incorporates prior knowledge of the physiological motion to generate more realistic deformations. Specifically, our method is developed on thoracic computed tomography scans and incorporates respiratory motion. We evaluated the effect of various synthetic deformation methods on deep learning-based registration performance, achieving better performance when trained on realistic deformations, compared to when trained on random deformations. In general, the inclusion of realistic deformations, either real or synthetic, was found to be essential for achieving good registration performance.
Scholarship @ Claremont Scholarship @ Claremont

Previous cognitive science research has shown the “drawing effect,” in which people tend to have better recall for something they’ve drawn rather than written. The drawing effect is an example of a “desirable difficulty,” as drawing often takes more mental effort than reading or writing. This study explored whether the drawing effect would persist for more abstract words, which might be overly difficult to draw; rather, they might be a difficulty that is no longer desirable and instead just a source of distraction or cognitive overload. Participants were presented with more abstract and less abstract science terms and alternated drawing and writing each word. Their recall was tested in two memory tasks, 24 hours apart. Contrary to what was hypothesized, there was no drawing effect shown in this study. However, there was a significant difference in recall for words that were “more abstract” versus “less abstract,” as well as a significant difference in words recalled in the second vocabulary test versus the first vocabulary test. Still, previous studies have shown great benefits from drawing and arts-integration for learning; future studies should explore the most effective ways to incorporate art and drawing into various educational settings.
The Viking magnetic properties experiment - Primary mission results. [on Mars landing sites

Three permanent magnet arrays were aboard each Viking lander: a strong array fixed on a photometric reference test chart (RTC) on top of the landers, and two other arrays, one strong and one weak, incorporated in the backhoe of the surface sampler. The RTC magnets on both landers have attracted magnetic particles from the dust cloud caused by the retro-rockets on landing and by dust raised in connection with surface sample acquisition and delivery. A considerable amount of magnetic particles has been attracted to both backhoe magnets from the surface material as a result of sample acquisition. We judge that the loose Martian surface material contains from 1 to 7% highly magnetic mineral. Preliminary spectrophotometric analysis shows the material adhering to both weak and strong magnets to be identical and indistinguishable from the normal Martian surface material exposed in trenches. The highly magnetic mineral could be present as discrete grains of iron, magnetite, or pyrrhotite, each with a red ferric iron oxide coating, or as particles of maghemite, γFe2O3, with or without other red oxide. Alternatively, the magnetic mineral could be uniformly distributed as a subsidiary component of composite clay or other silicate mineral particles which constitute all or part of the surface material sampled. Mechanical mixtures of the above alternatives are also possible. Although none of the possibilities can be unambiguously excluded, the simplest explanation which fits the available data is that the red pigment in or on all surface particles consists, in part at least, of γFe2O3 and that it is the principal source of the magnetic susceptibility of the surface material.
Promotion of IAA, NAA on Seed Germination of Jacaranda mimosifolia

Seed germination of Jacaranda mimosifolia treated with Indoleacetic Acid (IAA) and Naphthylacetic Acid (NAA) was investigated. Seeds were collected from 55-year-old plants in March 2012 in Chengdu Wenjiang Park in China and sown on illumination incubator at 25 °C/18 °C (day/might) under 15 h light after soaked 24 h with 0, 50, 100 and 200 mg L -1 IAA, NAA solutions. The thousand seed weight of J. mimosifolia was 9.039 g and seed average vigor was 32.7%. Germination rate was 13.3% without treatment, and seeds with 50, 100 and 200 mg L -1 IAA treatment showed germination rate of 20.0%, 22.3% and 25.0%, respectively, whereas the rate was 18.3%, 20.0% and 23.3% in 50, 100 and 200 mg L -1 NAA treatment. There was significant difference between 100, 200 mg L -1 and other IAA treatment, but only 200 mg L -1 NAA treatment had significant difference among others. It showed that IAA could promote seed germination more significantly than NAA in the same concentration conditions. These results indicate that soaking by 100 and 200 mg L -1 IAA or 200 mg L -1 NAA for 24 h, seed germination rate of J. mimosifolia can be significantly improved and robust seedlings obtained from germinated seeds.
Comparing Unsupervised Algorithms to Construct Argument Graphs

Computational argumentation has gained considerable attention in recent years. Various areas have been addressed, such as extracting arguments from natural language texts into a structured form in order to store them in an argument base, determining stances for arguments with respect to topics, determination of inferences from statements, and much more. After so much progress has been made in the isolated tasks, in this paper we address the next level and aim to advance the automatic generation of argument graphs. To this end, we investigate various unsupervised methods for constructing the graphs and measure the performance with different metrics on three different datasets. Our implementation is publicly available on GitHub under the permissive MIT license.
FAKE NEWS PREDICTION USING TF-IDF VECTORIZER

: The technology has improved a lot in the field of Mass media, the market trends and advancement in techniques are growing rapidly nowadays. But this information is not always accurate enough, since a more number of searching steps are required to obtain the REAL NEWS results from the Internet sources. This system “NewMors” overcomes this problem and provides an application that detects the hashtags from different Social Media Platforms and using Geotags and Algorithms of NLP, NewMors detects if the source of information is accurate enough to believe if so, the information is sent to NEWs section or else it’s Kept in RUMORs section. The focus is on developing an algorithm in a more intellectual way, that it can even recognize not so well grammatically defined sentences, misspelled words, incomplete phrases, etc. The responses are generated using classification algorithms and produce non textual responses so that it can be easily perceived by the users. This system also uses prediction algorithms to predict the future data like who will be next president of the USA from data obtained from different platforms, who will win the cricket match. Also using data our platform will provide some of the analysis and sentiment Reports.
epigallocatechin-3-gallate suppresses cell proliferation and promotes apoptosis and autophagy in oral cancer ssc-4 cells

: Epigallocatechin-3-gallate (EGCG) is the major bioactive component of green tea. Our experimental data indicated that EGCG treatment suppresses cell proliferation of SSC-4 human oral squamous cell carcinoma (OSCC), the effect being dose- and time-dependent. In parallel was observed the activation of apoptosis and autophagy, in response to EGCG exposure in SSC-4 cells. Treatment with EGCG activates the expression of the BAD, BAK, FAS, IGF1R, WNT11 , and ZEB1 genes and inhibits CASP8, MYC , and TP53 . All of these results suggest that EGCG has an excellent potential to become a therapeutic compound for patients with OSCC, by inducing tumor cell death via apoptosis and autophagy.
Cartographie et mesure de la biodiversité du Mont Ventoux : approche par système d'information géographique et télédétection, préconisations méthodologiques et application pour l'aménagement forestier

Les donnees issues de la teledetection couplees a des approches de type systeme d’information geographique sont d’un grand interet potentiel pour l’amenagement forestier. Le but de cette recherche est dans un premier temps de fournir une cartographie utilisable des especes forestieres dominantes a l'echelle du pixel, en utilisant des methodes eprouvees de la teledetection. Le site d’etude choisi est le versant sud du Mont Ventoux, une montagne mediterraneenne presentant une forte biodiversite forestiere. Les travaux relates dans la premiere partie ont permis de realiser des cartographies discriminantes des especes forestieres a partir des donnees satellitaires (Spot 5) par classification supervisee et non supervisee, en lien avec des releves terrains. La pertinence de ces methodes pour la cartographie de la couverture forestiere est evaluee et discutee, l'objectif etant d’identifier les conditions optimales en fonction de la resolution spatiale et de la bande spectrale pour la discrimination des especes forestieres majeures du Mont Ventoux. Ce travail nous a ensuite amenes a proposer une methode originale de mesure de la variabilite de la biodiversite a l'aide de 4 indices classiques : indices de Shannon, de Simpson, de Richesse et de Dominance. L'approche a ete appliquee en utilisant deux descripteurs de la biodiversite : l’indice de vegetation normalise (NDVI) et la diversite en especes forestieres. Cette methode inedite permet, grâce au recours a differentes images de resolutions spatiales imbriquees et a un processus systematique d'agregation, d’extraire la part de biodiversite (alpha et beta) due a la structure spatiale, en eliminant l'effet du support spatial, composante determinante du Modifiable Areal Unit Problem (MAUP). Nous discutons egalement dans cette recherche de la capacite�� de notre methode a extraire, une « echelle pertinente » de mesure de la diversite
A Review of Blockchain Applications in Various Fields

The BT has the potential to significantly alter every element of human life and may have a lasting impact over the next few decades. This technology has changed how we view corporate processes and has had a significant impact on our current economy. The peer-to-peer decentralized immutable public database technology known as BT was created by Satoshi Nakamoto in 2008 through the virtual currency or cryptocurrency known as Bitcoin. It has transformed management of different systems. Since the idea for BT was first conceptualized in 2008, enthusiasm has been increasing. Concern about BT stems from its decentralized and distributed qualities, which provide security, privacy, and data integrity without the need for an intermediary organization to oversee transactions. More people now use blockchain.
Quality and Quantity: Communicating Effectively Using Descriptors and Narratives

Medical errors occur daily, and may rank among the highest causes of inpatient death in the US. Our study modeled modes of communication between patients and doctors to discover the best way to communicate to reduce error. We used narratives to model interview or text-box formats, and descriptor lists to model symptom checklists. We found that narratives produced a significant increase in accuracy (score_paper; F(27)=15.70, p<0.001, score_verbal; F(27)=22.26, p<0.001, score_computer; F(27)=4.82, p<0.05) with no significant increase in time compared to lists of descriptors (average lists time= 485.77s, average sentences time=479.50). We also found that sentences were less mentally demanding (F(1)=24.49, p<0.001) and difficult (F(1)=16.43, p<0.001) than lists, and that participants could effectively estimate their success at completing tasks (B=0.13, t(1)=5.94, p<0.001).
A toxin-based approach to neuropeptide and peptide hormone discovery

Peptide hormones and neuropeptides form a diverse class of bioactive secreted molecules that control essential processes in animals. Despite breakthroughs in peptide discovery, many signaling peptides remain undiscovered. Recently, we demonstrated the use of somatostatin-mimicking toxins from cone snails to identify the invertebrate ortholog of somatostatin. Here, we show that this toxin-based approach can be systematically applied to discover other unknown secretory peptides that are likely to have signaling function. Using large sequencing datasets, we searched for homologies between cone snail toxins and secreted proteins from the snails’ prey. We identified and confirmed expression of five toxin families that share strong similarities with unknown secretory peptides from mollusks and annelids and in one case also from ecdysozoans. Based on several lines of evidence we propose that these peptides likely act as signaling peptides that serve important physiological functions. Indeed, we confirmed that one of the identified peptides belongs to the family of crustacean hyperglycemic hormone, a peptide not previously observed in Spiralia. We propose that this discovery pipeline can be broadly applied to other systems in which one organism has evolved molecules to manipulate the physiology of another.
Modelling an actuated large deformation soft continuum robot surface undergoing external forces using a lumped-mass approach

Precise actuation of continuum surfaces in combination with continuum robotic arms that undergo large deformation is of high interest in soft robotics but of limited model-based study to date. This work develops this area towards enabling the robust design and control of large deformation continuum surfaces (LDCS) across multiple industrial applications in the healthcare, aerospace, manufacturing, and automotive domains. It introduces an actuation based dynamic model of LDCSs to accurately determine their deflection due to application of concentrated external forces while maintaining many physical characteristics and constraints on actuation elements and surface structure such as gravity, inertia, damping, elasticity, and interactive forces between actuators and LDCS. Using the lumped-mass methodology, a 3D integrated surface-arm model is developed, simulated and then validated experimentally where a pair of parallel arms are attached to the surface to actuate and deform it. The surface is then simultaneously subjected to a concentrated constant external force at its top center between the two arms. Comparing measured displacements between the experimental and modelling results over actuation time yielded the maximum error is less than 1% of the length of the surface’s side at its final deflected profile despite the limited number of nodes (masses) used in the LDCS model while it is exposed to a significant external force.
Insecticidal activity of Ricinus communis L. seed extract against Spodoptera frugiperda J.E. Smith under laboratory and field conditions

Insecticidal activity of the aqueous extract of the castor seed (Ricinus communis L.) against the Fall Armyworm (FAW), Spodoptera frugiperda (Lepidoptera: Noctuidae), one of the worst pests of maize crop, was assessed under laboratory and field conditions. In laboratory, the larvicidal activity of three concentrations of the extract that are 150 g/l, 200 g/l and 250 g/l and their effects on the development of FAW were evaluated through direct exposure and ingestion tests. The field experiment consisted of a randomized block design with two extract concentrations – 200 g/l and 250 g/l – and negative control consisted of untreated plots and positive control plots were treated with Emacot (Emamectin benzoate). Results of the laboratory experiments revealed considerable larvicidal activity of the extract through the ingestion test, inducing the larvae mortality of 75.8%, 60.3% and 46.5% for the extract concentrations of 250 g/l, 200 g/l and 150 g/l respectively, whereas positive (Emacot) and negative controls (emulsified water) recorded 100% and 3.3% of the larvae mortality, respectively. The field results showed 10% and 11% of infested plants in plots treated with 200 and 250 g/l, respectively, whereas Emacot-treated plots recorded 9.5% of infested plants. Untreated plots recorded the highest infested plants of 22.5%. The two- castor seed extract concentrations 200 g/l and 250 g/l reduced about 50% of maize plant infestation by FAW, thus could be a good candidate as alternative to chemical pesticides in controlling the pest.
From Waste to Green: Water-Based Extraction of Polyphenols from Onion Peel and Their Adsorption on Biochar from Grapevine Pruning Residues

Onion peels (OP) are rich in bioactive compounds with a plethora of benefits for human health, but this valuable material is often wasted and underutilized due to its inedibility. Likewise, grapevine pruning residues are commonly treated as agricultural waste, but biochar (BC) obtained from this material has favorable characteristics as an adsorbent. This study investigated the potential of BC in removal of targeted polyphenolic compounds from OP extracts. The OP extracts were obtained adhering to green chemistry principles using deionized water amplified by three methods: maceration (MAC), ultrasound-assisted extraction (UAE), and microwave-assisted extraction (MAE). The extraction efficiency on the polyphenolic profile and antioxidant capacity was investigated with different extraction temperatures and solid-to-liquid (s/l) ratios. For further analysis, UAE at 90 °C with an s/l ratio of 1:100 was used due to higher polyphenolic compound yield. The BC adsorption capacity of individual polyphenols was fitted with the Langmuir and Freundlich isotherm models. Quercetin-3,4′-diglucoside obtained the highest R2 coefficient in both models, and the highest qmax value. The optimum conditions in the dosage experiment suggested an amount of 0.5 g of BC using 3 g/L extracts. The studied BC showed a high affinity for targeted phytochemicals from OP extracts, indicating its potential to be applied for the green adsorption of valuable polyphenolic compounds.
A Highly Sensitive Electrochemical Sensor for Capsaicinoids and Its Application in the Identification of Illegal Cooking Oil

Capsaicinoids, mostly from chili peppers, are widely used in daily life. Capsaicinoids are considered to be markers for the identification of illegal cooking oil (ICO), which is a serious threat to public health. The identification of capsaicinoids can help reveal food-related fraud, thereby safeguarding consumers’ health. Here, a novel and ultrasensitive method was established with a signal amplification strategy for the detection of capsaicinoids. AuNPs@Fe3O4 nanocomposites were functionalized with 4-aminothiophenol (4-atp). After diazotization, 4-atp on AuNPs@Fe3O4 reacted with capsaicinoids and formed capsaicinoids-azo-atp-AuNPs@Fe3O4. Ultimately, capsaicinoids-azo-atp-AuNPs@Fe3O4 was dropped onto the surface of a screen-printed carbon electrode (SPCE) and detected via the differential pulse voltammetry (DPV) method. AuNPs@Fe3O4 nanocomposites increased the specific surface area of the electrode. Moreover, the diazotization–coupling reaction enriched the analytes on the electrode surface. Liquid–liquid extraction was used for sample pretreatment. Under a pH value of 9.0 and concentration of 0.20 mol/L for the supporting electrolyte, the linearity of capsaicinoids in ICO is from 0.10 to 10.00 ng/mL, and the limit of detection (S/N = 3) is 0.05 ng/mL. This method is ultra-sensitive, reliable, and cost-effective for the detection of capsaicinoids. Herein, this method provides a promising tool for the identification of ICO.
Nutritional Status in Children with End-Stage Kidney Disease Undergoing Hemodialysis and Other Related Factors

Background: Chronic kidney disease causes several changes in the body's function in metabolizing nutrients. This has led to the discovery of cases of malnutrition in chronic kidney disease patients, especially in ESRD patients undergoing hemodialysis. This certainly needs to be a concern because nutrition is very important for children's growth. Therefore, this study was conducted to find out the effect of hemodialysis and other influencing factors on the nutritional status of children. Methods: The study was conducted with a cross- sectional design by taking secondary data in the form of disease stage, duration of disease, primary etiologic factors, and comorbidities from medical records. Data on the nutritional status of children was obtained by measuring weight and height, and upper arm circumference and then entered into the WHO Anthro application. Demographic data, such as the education level of the father & mother, family economic status, age, and gender were obtained by filling out the Case Report Form (CRF). Twenty respondents met the inclusion and exclusion criteria of this study. Results: The average nutritional status assessment seen from the body mass index according to age showed results of -2 SD < x < 1 SD with good nutrition interpretation and x <-2 SD (short stature) in terms of height according to age. Based on bivariate analysis, there was no significant effect between duration of hemodialysis, frequency of hemodialysis, etiology, age, sex, and comorbidities (p>0.05) in children with chronic kidney failure who were undergoing hemodialysis on their nutritional status. Conclusion: The nutritional status of CKD children undergoing hemodialysis was assessed based on body mass index and height according to age. The average results were good nutrition but with short stature. There was no effect of duration, frequency, etiology, age, gender, and comorbidities in children with chronic kidney failure undergoing hemodialysis on their nutritional status.