Miracle-dz/UniFAR-FTUs huggingface dataset:
Riemann-Liouville Fractional Calculus of Blancmange Curve and Cantor Functions

Riemann-Liouville fractional calculus of Blancmange Curve and Cantor Functions are studied in this paper. In this paper, Blancmange Curve and Cantor function defined on the interval is shown to be Fractal Interpolation Functions with appropriate interpolation points and parameters. Then, using the properties of Fractal Interpolation Function, the Riemann-Liouville fractional integral of Blancmange Curve and Cantor function are described to be Fractal Interpolation Function passing through a different set of points. Finally, using the conditions for the fractional derivative of order ν of a FIF, it is shown that the fractional derivative of Blancmange Curve and Cantor function is not a FIF for any value of ν.
Multiple Object Recognition with Focusing and Blurring

In this project we use CNNs to identify signiﬁcant objects in a scene for applications in photo or video editing. We tackle this problem with two different approaches: faster R-CNN and YOLO. Faster R-CNN is used to more accurately identify objects in a scene and then classify those regions to label object categories. YOLO is used to identify and classify videos that need to be processed in real time, trading off accuracy for speed. We then use those labels to determine the signiﬁcance weighting of the objects of the image to isolate people or objects of greatest importance, so that we can apply image processing techniques to make those objects stand out. Faster R-CNN and YOLO are both trained on the VOC 2007 dataset.
Coherent Schools, Powerful Learning

The first full-time job I had was as one of four biology teachers at a traditional, suburban high school of about 1,600 students. This was during the mid1990s, and the school was situated in aNew Jersey township with a majority white, middle-class base living in modest, postwar, stand-alone houses. There was an affluent section of town with well-manicured Tudors and stately Colonials, and, adjacent to the business district, a low-lying tract withwhat locals called “the projects,” which in fact were a mix of apartment complexes and smaller homes inhabited mostly by lower-income black and Latinx families. The one high school in town had earned national blue-ribbon status a few years earlier, and its leadership spoke proudly of the work staff was doing to close achievement gaps between its students of color, who accounted for about a quarter of enrollment, and its white and Asian students. Yet, as I was to learn, the unspoken ways in which adults interacted with each other and the lack of attention paid to teaching and learning created a buffer against individual and collective efforts to succeed with all students. For example, my first teaching schedule comprised five sections of biology, three of which were “Honors” biology-track classes and two of which were called “Regular” (i.e., lower) track classes. I found, to my dismay, the Honors sections were provided with more recent textbooks and an additional hour each week for extended lab activities. The Honors students were also predominantly white and from the middle-class or well-off parts
Highly Directive Patch Antenna Array for FMCW Radar at Ku Band

14 Abstract—We are presenting the design of a highly directive printed antenna array consisting of 420 identical patch antennas intended for FMCW radar at Ku band. The array exhibits 3 dBbeamwidths of 2° and 10° in Hand E-plane, respectively, side lobe suppression better than 20 dB and gain about 30 dBi in the frequency range 16.9 17.3 GHz. Excellent antenna efficiency that is between 60 and 70 % is achieved by using optimized series feeding architecture in the H-plane with both resonant and traveling-wave feed. Enhanced cross polarization suppression is obtained by anti-phase feeding of the upper and the lower halves of the antenna. Overall antenna dimensions are 31 λ0 x 7.5 λ0.
A Review of Electrical Machine Topologies and the Techniques to Reduce Cogging Torque

This review paper provides a brief discussion into modulated pole machines and topologies such as single sided, double sided and multiphase modulated pole machines, ultimately leading towards material hybrid designs as these are of interest these days. It was shown that early modulated pole machines such as the one designed by Mordey mainly consist of solid laminated steel while the field was provided by a coil carrying current. However, the renewed research and availability of strong permanent magnets have reintroduced the modulated pole machines concept, especially in applications where high torque density is required. On the other hand, material hybrid machines use a combination of high permeability laminated steel and soft magnetic composite to make use of two kinds of field; one that travels in the plane and other that harness three-dimensional nature. The problem of cogging torque was highlighted and reducing this is the main aim of many design projects these days. Various techniques are presented in this paper that helps to reduce the cogging effect, however most of them either alter the machine parameters, give rise to complex manufacturing or decrease the useful torque. These ultimately either increase the cost of the machine or reduce the performance. Techniques such as rotor and stator pole shaping or using a variation/combination of tooth span was seen to be most effective method of reducing cogging torque, torque ripple and back EMF harmonics.
Communication Disorder of Schizophrenics in Psycholinguistics and Religious Perspective

Schizophrenia is a disorder in language caused by problems or disturbances in thinking so that it affects the communication. The sufferer loses his motivation and energy which makes the patient unable to express his expression either through facial expressions, or other limbs. The purpose of this study was to reveal the phenomena related to the issue of attacks and persecution of the scholars conducted by people who were declared insane. It further relates the phenomenon through Islamic perspective. This study is a literature study that all data are taken from several books and from the news in online media. The results found are the testimony from santri and a cleric at the Indonesia Lawyer Club program hosted by Karni Ilyas who stated that people who are declared insane are not really crazy. The examination results show that they are not right if they are declared insane just because they are chasing a chaplain. This phenomenon of attacks toward ulama by those who are thought to be insane has existed long ago, namely in the days of the PKI's betrayal in 1965. As for the Islamic perspective, legal consequences apply to those who pretend to be crazy.
The Conjunctiva Plays an Important Role in Modulating Ocular Surface Tear

Manifestation of dry eye disease (DED) includes tear film (TF) instability and hyperosmolar condition, leading to immunoinflammatory and mechanical injuries to the ocular surface [1, 2]. Specifically, DED involves defects in aqueous, lipid and/or mucin layers of the TF [3, 4]. Etiologically DED is categorized into aqueous tear-deficient and evaporative dry eye [5]. In the United States, 3.23 million women and 1.68 million men 50 years and older suffer from varied severity of DED [6, 7]. Most importantly, DED largely impairs the activities of daily living, thus negatively impacting vision related quality of life [8]. Since ocular surface plays a significant role in modulating tear volume and composition, [9] maintaining and/or restoring the normal function of ocular surface tissues could be a novel treatment strategy for DED.
Competitive Strategy for Walking in Streets for an Empowered Simple Robot

We consider the problem of walking in an unknown street, for a robot that has a minimal sensing capability. The basic robot is equipped with a sensor that only detects the discontinuities in depth information (gaps). In the former recent researches some competitive strategies for walking the robot in street polygons have been presented. In this research we have empowered the robot by adding a compass to reach the target t along a shorter route starting from s , in street polygons. We present an online strategy that generates a search path for the em-powered robot in streets such that the competitive ratio of our strategy is 3 p 2.
Unique Chinese Linguistic Phenomena

Linguistics holds unique characteristics of generality, stability, and nationality, which will affect the formulation of extraction strategies and should be incorporated into the relation extraction. Chinese open relation extraction is not well-established, because of the complexity of Chinese linguistics makes it harder to operate, and the methods for English are not compatible with that for Chinese. The diversities between Chinese and English linguistics are mainly reflected in morphology and syntax.
Hygroscopicity of urban aerosols and its link to size-resolved chemical composition during spring and summer in Seoul, Korea

Abstract. Chemical effects on the size-resolved hygroscopicity of urban aerosols were examined based on the Korea–US Air Quality Study (KORUS-AQ, 2020) field campaign data. The information on size-resolved hygroscopicity and the chemical composition of aerosols were obtained by a hygroscopic tandem differential mobility analyzer (HTDMA) and a high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS), respectively. Good correspondence was shown between measured and estimated κ values calculated from the combination of bulk chemical composition data and oxidation parameters of organic aerosols (f44 and O∕C). These results imply that chemical composition is closely associated with aerosol hygroscopicity. However, the correlation between measured and estimated κ values degraded as particle size decreased, implying that size-resolved chemical composition data are required for more detailed hygroscopicity analysis. In addition to size-resolved chemical data, the m∕z tracer method was applied for size-resolved organic factors. Specifically, m∕z 57 and 44 were used as AMS spectral markers for hydrocarbon-like organic aerosol (HOA) and oxygenated organic aerosol (OOA), respectively. These size-resolved chemical composition data were found to be critical in explaining size-dependent hygroscopicity, as well as the diurnal variation in κ for small particles, i.e., low κ in the morning and high κ in the afternoon. Additionally, aerosol mixing state information was associated with the size-resolved chemical composition data. That is to say that the relationship between the number fraction of each hygroscopicity mode and the volume fraction of different chemical composition was investigated. For example, the HOA volume fraction comprised about 60 % of the variation in less hygroscopic (LH) mode number fractions for externally mixed aerosols.
Contrasting Regional Carbon Cycle Responses to Seasonal Climate Anomalies Across the East‐West Divide of Temperate North America

Across temperate North America, interannual variability (IAV) in gross primary production (GPP) and net ecosystem exchange (NEE) and their relationship with environmental drivers are poorly understood. Here, we examine IAV in GPP and NEE and their relationship to environmental drivers using two state‐of‐the‐science flux products: NEE constrained by surface and space‐based atmospheric CO2 measurements over 2010–2015 and satellite up‐scaled GPP from FluxSat over 2001–2017. We show that the arid western half of temperate North America provides a larger contribution to IAV in GPP (104% of east) and NEE (127% of east) than the eastern half, in spite of smaller magnitude of annual mean GPP and NEE. This occurs because anomalies in western ecosystems are temporally coherent across the growing season leading to an amplification of GPP and NEE. In contrast, IAV in GPP and NEE in eastern ecosystems is dominated by seasonal compensation effects, associated with opposite responses to temperature anomalies in spring and summer. Terrestrial biosphere models in the MsTMIP ensemble generally capture these differences between eastern and western temperate North America, although there is considerable spread between models.
Bullying behavior among students

This study aimed to investigate whether communication patterns, peers’ involvement and gender different can be the predictors of adolescent bullying behavior. This study involved 193 adolescents of grade 8 and 9 with the most adolescents of 14 years old who had filled in questionnaires. The results showed the prevalence of adolescent involvement in bullying which was 62.69%. Parental communication patterns have an OR = 1.64 (95% CI=0.87-3.09). Peers involvement in bullying behavior (OR=1.92; 95% CI=1.01-3.66). Adolescent girls were more involved in bullying behavior (59.59%) compared to adolescent boys (OR=3.32; 95% CI=1.69-6.54). Poor parental communication patterns, peers influence negatively predict to the bullying behavior in adolescent. Bullying is higher in boys than girls where as boys has a greater chance of bullying than girls. Therefore, bullying intervention programs are needed in schools.
Pedestrian detection using Doppler radar and LSTM neural network

Integration of radar systems as primary sensor with deep learning algorithms in driver assist systems is still limited. Its implementation would greatly help in continuous monitoring of visual blind spots from incoming pedestrians. Hence, this study proposes a single-input single-output based Doppler radar and long short-term memory (LSTM) neural network for pedestrian detection. The radar is placed in monostatic configuration at an angle of 45 degree from line of sight. Continuous wave with frequency of 1.9 GHz are continuously transmitted from the antenna. The returning signal from the approaching subjects is characterized by the branching peaks higher than the transmitted frequency. A total of 1108 spectrum traces with Doppler shifts characteristics is acquired from eight volunteers. Another 1108 spectrum traces without Doppler shifts are used for control purposes. The traces are then fed to LSTM neural network for training, validation and testing. Generally, the proposed method was able to detect pedestrian with 88.9% accuracy for training and 87.3% accuracy for testing.
Investigation of voltage regulation in grid–connected PV system

In the present scenario the power demand on the load side is increasing day by day, so to balance the power demand and power supply various renewable energy comes to picture as the additional source of electricity generation. The power generated by various renewable resources such as solar, wind, tidal energy and geothermal sources is environmentally clean and have a less emission impact. Out of which PV system draws more attention because it generates energy with a much lower level of carbon dioxide emissions. In the proposed work the objective is to investigate the synchronisation of the grid-connected PV system in terms of voltage and frequency. It includes the P-V characteristics under the circumstances of MPPT technique such as perturb & observe (P&O) method can able to track the local maximum point. The proposed inverter is a voltage source H-Bridge inverter which is controlled using a Clarke and Park transformation to drive a controlled current into the grid to maintain the THD value within the standards. As the grid frequency is fluctuating between SRF-PLL is generally used to fix the output frequency and phase of the grid. It also includes with the design of a three-phase H-bridge inverter as an interface between PV system and grid system. The proposed work is designed and simulated in MATLAB SIMULINK 2017b environment.
Bayes Extended Estimators for Curved Exponential Families

The Bayesian predictive density has complex representation and does not belong to any finite-dimensional statistical model except for in limited situations. In this paper, we introduce its simple approximate representation employing its projection onto a finite-dimensional exponential family. Its theoretical properties are established parallelly to those of the Bayesian predictive density when the model belongs to curved exponential families. It is also demonstrated that the projection asymptotically coincides with the plugin density with the posterior mean of the expectation parameter of the exponential family, which we refer to as the Bayes extended estimator. Information-geometric correspondence indicates that the Bayesian predictive density can be represented as the posterior mean of the infinite-dimensional exponential family. The Kullback–Leibler risk performance of the approximation is demonstrated by numerical simulations and it indicates that the posterior mean of the expectation parameter approaches the Bayesian predictive density as the dimension of the exponential family increases. It also suggests that approximation by projection onto an exponential family of reasonable size is practically advantageous with respect to risk performance and computational cost.
A Survey on Churn Analysis

In this paper, I present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management. However, since it has been used intensively to increase the predictability of various industry/academic fields, there is a big difference in its definition and utilization. In this paper, I collected the definitions of churn used in the fields of business administration, marketing, IT, telecommunications, newspapers, insurance and psychology, and described their differences. Based on this, I classified and explained churn loss, feature engineering, and prediction models. Our study can be used to select the definition of churn and its associated models suitable for the service field that researchers are most interested in by integrating fragmented churn studies in industry/academic fields.
Circular spherical divisors and their contact topology.

This paper investigates the symplectic and contact topology associated to circular spherical divisors. We classify, up to toric equivalence, all concave circular spherical divisors $ D $ that can be embedded symplectically into a closed symplectic 4-manifold and show they are all realized as symplectic log Calabi-Yau pairs if their complements are minimal. We apply such embeddability and rigidity results to determine the Stein fillability of all contact torus bundles induced as the boundaries of such $ D $. When $ D $ is anticanonical and convex, we give explicit betti number bounds for Stein fillings of its boundary contact torus bundle. Also we show that the boundary contact torus bundles of a large family of concave $ D $ are universally tight, generalizing a conjecture of Golla and Lisca.
A Haptic feedback system based on leap motion controller for prosthetic hand application

Leap Motion Controller (LMC) is a gesture sensor consists of three infrared light emitters and two infrared stereo cameras as tracking sensors. LMC translates hand movements into graphical data that are used in a variety of applications such as virtual/augmented reality and object movements control. In this work, we intend to control the movements of a prosthetic hand via (LMC) in which fingers are flexed or extended in response to hand movements. This will be carried out by passing in the data from the Leap Motion to a processing unit that processes the raw data by an open-source package (Processing i3) in order to control five servo motors using a micro-controller board. In addition, haptic setup is proposed using force sensors (FSR) and vibro-motors in which the speed of these motors is proportional to the amount of the grasp force exerted by the prosthetic hand. Investigation for optimal placement of the FSRs on a prosthetic hand to obtain convenient haptic feedback has been carried out. The results show the effect of object shape and weight on the obtained response of the FSR and how they influence the locations of the sensors.
Why recurrence was initially suspected during colorectal cancer postoperative surveillance?

Abstract Routine postoperative surveillance is recommended for the patients with colorectal cancer (CRC). This study aimed to clarify the conditions indicate initial suspicion of CRC recurrence in different preoperative serum carcinoembryonic antigen (CEA) level groups, including positive physical signs/symptoms, elevated CEA level, positive radiologic studies results, and other elevated tumor markers. A total of 2268 patients with recurrence after curative surgery for CRC were enrolled in this study. The patients were classified into 3 groups according to preoperative serum CEA level (low, <2 ng/mL; intermediate, ≥2 and <5 ng/mL; and high, ≥5 ng/mL). Up to 63.6% of recurrence was suspected based on elevated CEA level in the high preoperative serum CEA level group. Patients in the low preoperative serum CEA level group had a higher rate of initial suspicion of recurrence based on positive physical signs or symptoms (36.7% vs 26.9% vs 20.4%, P < .001) and positive radiologic findings (51.4% vs 40.7% vs 29.5%, P < .001) than those in the intermediate and high preoperative serum CEA groups. Conditions indicate initial suspicion of recurrence varied in the different preoperative serum CEA level groups. In patients with low preoperative serum CEA level, the detection of recurrence depend on abnormal CEA level is less sensitive than intermediate and high preoperative serum CEA groups. We suggest that the strategy for CRC surveillance should not depend on serum CEA level alone. The signs or symptoms of patients, changes in postoperative serial CEA level, and ongoing radiologic or imaging findings must be cautiously monitored.
Yishentongluo decoction in treatment of idiopathic asthenozoospermia infertility

Abstract Background: The reproductive dilemma faced by men has always been the focus of the whole society. Idiopathic asthenozoospermia (AZS), as one of the common causes of male infertility, lack of specific treatment. Traditional Chinese medicine has shown potential benefits in the management of male infertility. Yishentongluo decoction (YSTL) is a representative Chinese herbal formula; however, there is still no rigorous clinical trial supporting its application. Therefore, we designed a randomized controlled trial to evaluate the efficacy and safety of YSTL for patients with idiopathic AZS and explain the possible action mechanisms of YSTL in improving sperm motility. Methods: In this randomized controlled study, a total of 160 eligible patients will be assigned to YSTL group or the Levocarnitine oral solution group in a 1:1 ratio. The treatment period will be 12 weeks and the follow-up period will last 4 weeks. The primary outcome will be the the progressive (motility), sperm rate (%). Secondary outcomes will include the progressive (motility) + non-progressive (motility) sperm rate(%), total effective sperm count, inner mitochondrial membrane potential (MMP) in spermatozoa, and spouse pregnancy rate (%). Safety outcomes will cover electrocardiogram , blood tests (including blood routine test, hepatic function, and renal function), urine routine test, and stool routine test. The semen parameters, sperm MMP test, and all the safety outcomes will be performed at the baseline, 4th, 8th and 12th week. The pregnancy outcome will be evaluated at 4 weeks after treatment. Discussion: This study will provide initial evidence regarding the efficacy and safety of YSTL in the treatment of idiopathic AZS with kidney deficiency and blood stasis pattern. In addition, potential mechanisms of YSTL in improving sperm motility will be explored based on sperm MMP test. Trial registration: Chinese Clinical Trials Register identifier, ChiCTR2000033290, registered on 26 May 2020.