Miracle-dz/UniFAR-FTUs huggingface dataset:
Clusterization of Different Vulnerable Countries for Immigrants Due to Covid-19 Using Mean Probabilistic Likelihood Score and Unsupervised Mining Algorithms

In many developing and poor countries, people often migrate to suitable countries to earn their livelihood and support their families. Due to the ongoing pecuniary disaster that ensued because of COVID-19, many immigrants are coming back to their ancestry from different migrant-friendly countries for several reasons. In this paper, a novel approach has been proposed to segregate these countries into five vulnerability labels based on probabilistic likelihood score (LHS) and unsupervised clustering algorithms (CA). A survey dataset of returnee people including various information has been collected and leveraged as attributes in this study. Depending on the dissemination of attributes, LHS has been generated using Bayes' Theorem for each vulnerable country and three unsupervised mining algorithms (KMeans++, Agglomerative and BIRCH) have been applied to the LHS for categorization. Output labels obtained from CA are then evaluated appropriating the average LHS. Multiple performance measurement metrics (Adjusted Rand Index, Mutual Information based Score) have been consolidated to get an incisive comparison of vulnerability labels resulting from CA and expected LHS. The highest value of 0.74 has been attained as Normalized Mutual Information based Score for BIRCH clustering accompanying ample results for the remaining algorithms. The result has shown that the combined application of probabilistic LHS and unsupervised CA can be a reliable method to identify the vulnerability of different countries generally chosen by migrant people.
Will Rural Collective-Owned Commercial Construction Land Marketization Impact Local Governments’ Interest Distribution? Evidence from Mainland China

To promote the harmonious human-land relationships and increased urban-rural interaction, rural collective-owned commercial construction land (RCOCCL) marketization reform in some pilot areas was a new attempt by the Chinese Central Government in 2015. In this areas, a novel interest distribution system was established with the land right adjustment and the corresponding local governments were likely to benefit through taxation and land appreciation adjustment fund. This study proposed the hypothesis that the RCOCCL marketization reform would improve local government revenue, and explored the actual effect based on panel census data of county-level administrative units from 2010 to 2018. We applied the difference-in-difference (DID) method to analyze the causal effect of this reform on fiscal revenue with 29 pilot areas selected as the treatment group and 1602 county-level units as the control group. The empirical results of the optimized DID robustness test models and the Heckman two-step method showed that the RCOCCL marketization reform does not have a significant impact because of lower land circulation efficiency, the transfer of land transaction costs, and the policy implementation deviations. Thus, weakening the administrative intervention of local governments in the RCOCCL marketization is essential to the land market development in China.
Dielectric Properties Characterization of Material Under Test using Microstrip Ring Resonator

The Resonator is one of the techniques widely used to determine the dielectric properties of a material. It is due to the accuracy of the resonator technique as compared to the other methods such as open wave guide sensor, transmission method, and coaxial probe. The accuracy plays an important role in any measurement devices as this is one of the features to show that the device is competent enough to perform a specific task. So, as to cope with accuracy issues, two microstrip ring resonators were designed and prototyped to detect the dielectric properties of Material Under Test (MUT) in this study. Both utilize Rogers Duroid 4003C as the substrate for the dielectric sensor and is meant to resonate at 4 and 5 GHz in which the substrate possesses 3.38 dielectric properties and 0.0027 loss tangent. Several features in designing the resonator such as the coupling gap, d, and radius of the ring, R were taken into consideration. Those parameters were verified and validated through software simulation and measurement using Vector Network Analyzer (VNA) to achieve the expected sensor prototype to operate in the real environment. The measurement was made to test two known dielectric properties of MUT to demonstrate the sensitivity of the sensors. The outcome from the measurement was evaluated in terms of S-21 parameter. The dielectric measurement leads to a change in frequency response against different MUT. The measurement was extended to study the performance of the resonator through the R and d of the resonator in which these parametric studies were made by varying the R and d of the resonator with the presence and the absence of MUT. The outcomes from the measurement suggest the best R and d for the resonator in terms of dielectric permittivity.
Online Car-hailing Service Quality Evaluation Based on BP Neural Network

In order to reduce the subjectivity and make sure the online car-hailing evaluation results more authentic and credible, an evaluation index system is constructed from five dimensions of the safety, cost, time, reliability and empathetic, and then a BP neural network model is proposed to solve it. Through the supervised model training of SP survey data, the maximum error between the network output and the actual results no more than 3.68%, which can meet the requirements of online car-hailing service quality evaluation. Finally, a mathematical statistical analysis method is proposed to comprehensive evaluate the online car-hailing service quality. The results show that the evaluation index system is scientific and reasonable, and the model can effectively improve the objectively of the evaluation results and reflect the quality level of online car-hailing service.
Gas Nanobubbles as Nucleation Acceleration in the Gas-Hydrate Memory Effect

Gas-hydrate crystals have important roles in various energy and environmental issues and also have potential industrial applications. Yet their formation and dissociation mechanisms remain unclear. To accelerate their crystallization, one can use a thermal hysteresis process called the “memory effect”, which is recognized as a shortening of the induction time of gas hydrate nucleation. Although its mechanism is still under debate, submicron-sized bubbles, called “micro- and nanobubbles (MNBs)”, that are generated after the hydrate dissociation are thought to play an important role. In this study, we use a transmission electron microscope to observe freeze-fracture replicas of the ethane (C2H6)-hydrate dissociated solution to identify the existence of MNBs. We find that a significant number of MNBs remain dispersed in the dissociated solution for more than 1 day. We then measure the induction time of C2H6-hydrate formation under stirred conditions with and without such MNB solutions. Not only in the C2H6-h.
Living Environments and Child Development: Comparing Two Groups of Out-of-Home Children

Using unique data on 210 Korean children from surveys and experiments, this paper examines whether living environments matter for child development. We compare two groups of out-of-home children in different environments: traditional orphanage-type institutions and family-like group homes. We exploit the arguably random assignment of children to institutions, generated by variation in the relative availability of group homes across regions over the years. We find that children in group homes are more altruistic, emotionally stable, satisfied with school, and forward-looking. Our findings suggest that family-like environments with fewer coresidents and more intimate relationships are beneficial to children separated from their parents.
Creation of a morphological analyzer based on finite-state techniques for the Uzbek language

The article analyzes the existing morphological analyzers related to agglutinative languages. The architecture of the morphological analyzer for the Uzbek language is proposed, the functionality is described using the IDEF0 model, and a finite-state transducer for grammatical and morphological rules is created. Here also described a formal mathematical model for rules morphotactics. Based on the rules of grammar, morphotactics, morphonology, an algorithm was developed using a finite state machine and a transducer.
Dual timestepping methods for detailed combustion chemistry

In this work, we develop and study several dual time integration methods for the solution of stiff, explosive differential equations governing combustion chemistry. Dual time integration is an implicit method wherein the sub-iteration process of each timestep is performed as a steady-state integration process, rather than the commonly used Newton–Raphson method. This allows stabilisation when nonlinear ignition events are contained within a timestep, providing considerable freedom in the choice of resolved phenomena. Timesteps may be chosen so as to resolve relatively long process timescales accurately rather than fast chemical timescales, something not possible with the common Newton's method. We illustrate this method using several backward difference formula methods and demonstrate the efficacy of our method in resolving low-frequency solutions of continuous flow stirred-tank reactors with periodic ignition–extinction events. We are able to step over ignition–extinction events with our stable, adaptive dual time method, and we study numerical convergence and error scaling on process timescales.
Grasping Prediction Algorithm Based on Full Convolutional Neural Network

Robot grasping is a very frontier and important research direction in the field of robotics. In order to solve the problem of the robot's real-time capture, reduce the time of the visual processing, we proposed a two-stage Convolutional Neural Network structure whose design is simple, with less training parameters, improving the efficiency of the visual system. Using rotation and translation to expand the Cornell fetching dataset. The best model at Cornell grasp test set has achieved 88% of forecast accuracy compared with 73% accuracy rate on one stage network. Moreover, our model size is 0.51MB, speed at 30 FPS on GPU inferencing.
Genetic Parameters of Stem and Wood Traits in Full-Sib Silver Birch Families

This study investigated heritability of stem and wood traits to improve Swedish silver birch (Betula pendula Roth.) through breeding. Birch is 12% of Sweden’s forest area but mainly used for low value pulp or firewood. This paper applied non-destructive test (NDT) methods, and estimated traits’ heritability (h2), to help breed birch for high value solid wood products. Two trials of 22 families were assessed at age 19 for stem diameter (DBH), stem straightness, rough brown bark height (BH), grain angle (GA), Pilodyn penetration depth (Pilo) and acoustic velocity (AV). X-ray densitometry was performed on a subsample of radial cores taken at 1.3 m from the ground to get an average benchmark density. The h2 values were moderate for GA (0.20 and 0.21) and Pilo (0.53 and 0.48) at the two sites, but the h2 values for AV were low (0.05 and 0.30). There were moderate genotypic correlations between BH and DBH (0.51–0.54). There were low genotypic and phenotypic correlations between NDT measurements and other traits so including NDT in birch breeding efforts should not inadvertently reduce size, stem or wood quality. The high genetic correlations between sites suggest that GA, Pilo and AV values were determined more by genotype than by environment.
FECAL MICROBIOTES TRANSPLANTATION TECHNOLOGIES: MEDICAL, BIOTECHNOLOGICAL AND REGULATORY ASPECTS

Fecal microbiota transplantation (FMT) is a treatment method based on donor's fecal solution injection into the patient's gastrointestinal tract. FMT is effectively used in the treatment of recurrent Clostridium difficile infection. There is also growing interest in the therapeutic application of the method to treat metabolic, autoimmune and other disorders that was not previously associated with intestinal microbiota. Despite the promising results of FMT use, the organizational and legal matters and that of the safety FMT application have not yet been resolved in the European and Ukrainian medical community. The purpose of this review was to summarize information on the FMT application and the regulatory aspects of its use. The analysis of the practical instructions provisions of for FMT applying in clinical practice was carried out, and the bioethical problems associated with the FMT use were investigated.
Dual core four open channel circularly slotted gold coated plasmonic biosensor

In this paper, a four open channel dual-core photonic crystal fiber (OC-DC-PCF) refractive index (RI) sensor is numerically investigated by finite element method (FEM) based software for the detection of unknown biomolecules. To create the surface plasmon resonance (SPR) effect, novel plasmonic material gold (Au) is externally deposited to the selected slotted region which makes this design cost-effective. We obtain the maximum wavelength sensitivity (WS) 38000 nm/RIU and the amplitude sensitivity (AS) of 1286 RIU−1 by using wavelength and amplitude interrogation method respectively. The average spectral sensitivity is 6308 nm/RIU. The maximum figure of merit (FOM) of 760 RIU along with the maximum sensor resolution of 2.63×10−6 RIU is achieved within the analyte RI range of 1.33 to 1.45 for this design which is better than the reported existing works. According to its high sensitivity and cost-effective nature, large detection range, high linearity and FOM, low propagation loss, and low fabrication complexity- it can be an appreciable competitor in the region of bio sensing. The proposed sensor can detect successfully the biomolecules like water, ethanol, fused silica, silicone oil, kerosene, acetone, glucose solution, Teflon, cornea, lens, liver and intestinal mucosa of human etc.
E-marketing and the hotel business promotion: Prospect and challenges in selected hotels in Ado-Ekiti, Nigeria

This research study was designed to critically examine the prospects and challenges of e-marketing in the hotel business promotion. The study intensively revealed the challenges of e-marketing in hotel business and proffered solutions to it. This research was conducted using all the four hotel business (Prosperous Royal Hotel and Resort, Queen’s Court Hotel, Pathfinder Hotel and Holiday Inn, Koltotel Plaza & Suit) within Ado-Ekiti, Nigeria. Analysis of data collected through questionnaires was carried out using inferential statistics of percentage and frequency in determining the significance of hypotheses formulated. The result of the hypotheses shows that there is significant need for the adoption of e-marketing in the hotel business because it has been a subject in the creation of awareness and advertising of its products around the world, it also revealed the fact that e-marketing organizational challenges is to gain agreement with hotel managements regarding how to proceed with operations, innovations and exploration in the business which needs to be resolved based on the opportunities and success ahead. It was concluded that e-marketing is an essential tools in the hotel business promotion for development. It was recommended based on the findings that to gain competitive advantage in the demanding hotel business, e-marketing must be the forerunner, it also notes that it is important nowadays for any of these industries to have its own website, promote its products through social networks.
Near infrared reflectance spectroscopy: classification and rapid prediction of patchouli oil content

Patchouli is a fragrant oil that produces essential oils known as patchouli oil. The main content of patchouli oil is Patchouli alcohol (PA), generally to determine the PA content of patchouli oil uses chemicals and the waste is not good for the environment. Therefore, there is another alternative method to address these problem, one of the alternative technologies to determine the content of patchouli oil is to use Near Infrared Spectroscopy (NIRS). NIRS can be used to analyze samples rapidly, easily, non-destructive and does not require any chemicals. In this study, the PA content and patchouli oil refractive index were obtained through the acquisition of NIRS spectrum in patchouli oil samples from several different regions with different fractions. Patchouli oil classification is carried out by the Principal Component Analysis (PCA) method. The content of PA content and refractive index is carried out by verifying the factual results of laboratory tests using the Principal Component Regression (PCR) method. Patchouli alcohol spectrum data is found in the wavelength range of 1350-1450 nm and 1950-2100 nm. Predicted results with PCR for PA content and refractive index show values R2 = 0.95 and 0.99 respectively with RPD values of 5.07 and 0.0011.
Medical Student Patient Outreach to Ensure Continuity of Care During the COVID-19 Pandemic

Background: In response to the COVID-19 pandemic, the Yale New Haven Health System began rescheduling nonurgent outpatient appointments as virtual visits in March 2020. While Yale New Haven Health expanded its telemedicine infrastructure to accommodate this shift, many appointments were delayed and patients faced considerable uncertainty. Objective: Medical students created the Medical Student Task Force (MSTF) to help ensure continuity of care by calling patients whose appointments were delayed during this transition to telemedicine. Methods: Eighty-five student volunteers called 3765 internal medicine patients with canceled appointments, completing screening for 2197 patients. Volunteers screened for health care needs, assessed preferences for future appointments, and offered emotional support and information about COVID-19. Urgent or emergent patient concerns were triaged and escalated to providers. In this analysis, we used a mixed-methods approach: call information and provider responses were analyzed quantitatively, and patient feedback was analyzed qualitatively via thematic analysis. Results: Ninety-one percent of patients screened found the MSTF calls helpful. Twenty-one percent of patients reported health concerns, with 1% reporting urgent concerns escalated to and addressed by providers. Themes of patient comments included gratitude for outreach and social contact, utility of calls, and well-wishes for health care workers. Conclusions: By calling patients whose appointments had been canceled during a rapid transition to telemedicine, the MSTF helped bridge a potential gap in care by offering patients communication with their care teams, information, and support. We propose that this model could be used in other care systems urgently transitioning to outpatient telemedicine, whether during ongoing outbreaks of COVID-19 or other public health emergencies.
Fungal communities in bat guano, speleothem surfaces, and cavern water in Madai cave, Northern Borneo (Malaysia)

ABSTRACT The island of Borneo is a global biodiversity hotspot. However, its limestone caves are one of its least-studied ecosystems. We report for the first time the fungal species richness, diversity and abundance from Madai cave, situated in north-eastern Borneo. Environmental samples from inside the cave environment were collected (guano, speleothem, and cavern water) via opportunistic sampling. The dilution method was performed for isolation of fungi. Morphological characterisation and molecular analysis of the ITS region were utilised for the identification of isolates. Fifty-five pure cultures of fungi were attained, comprising 32 species from 15 genera, eight orders, and two divisions, Ascomycota and Basidiomycota. Ascomycetes dominated the fungal composition, accounting for 53 (96%) out of 55 total isolates. Penicillium spp. accounted for more than 47.1% of fungal abundance in all sample types. However, Aspergillus spp. had the highest occurrence rate, being isolated from all environmental samples except one. Purpureocillium lilacinum was isolated most frequently, appearing in five separate samples across all three substrates. Annulohypoxylon nitens, Ganoderma australe, Pyrrhoderma noxium, and Xylaria feejeensis were discovered and reported for the first time from the cave environment. This study provides additional data for further research on the mycoflora of Sabah’s various ecosystems, especially limestone caves.
Analysis and application of construction pre-set deformation value of inclined high-rise steel structures

For an inclined high-rise steel structure, for example, the new headquarters of China Central Television (CCTV), if the structural members are manufactured and erected according to the Structural Design Configuration (SDC), it may lead to a considerable deviation between the structural construction completed configuration and the SDC because of its continuously inclined deformation during the installation. And surely it is impossible to connect the cantilever accurately without taking Pre-set Deformation Value (PDV) for structural members during the erection. This paper introduced the concept of the PDV, which includes manufacture pre-set deformation value and erection pre-set deformation value. A new computational method, namely two stage comprehensive iteration method, to determine PDVs of the new CCTV headquarters is proposed. A number of numerical results are obtained which have been used as guidelines for the construction of the new CCTV headquarters.
Social Touch Recognition Based on Support Vector Machine and T-Distributed Stochastic Neighbour Embedding as Pre-processing

Today, one of important field is social touch gesture recognition for touch modality, which can lead to highly efficient and realistic human–robot interaction. Touch is an important interaction modality in social interaction, for instance touch can communicate emotions and can intensify emotions communicated by other modalities. In this paper, the touch gesture recognition is performed using a dataset that previously measured for numerous subjects that perform various social gestures. This dataset is dubbed as the corpus of social touch (CoST), where touches were performed on a mannequin arm. The T-Distributed Stochastic Neighbor Embedding (T-SNE) algorithm is used to reduce the dimensions of the input data. The T-SNE algorithm was used as a preprocessing stage before classification operations. The output of the T-SNE is fed to the support vector machine (SVM). The performance of the proposed systems was evaluated using leave-one-subject-out cross-validation method. The range of recognition results 31.6% to 81.4%, Mean = 61.7% and Standard Deviation = 10.05%. The proposed method can recognize gestures in nearly real time after acquiring a minimum number of frames (629 ms). which is comparable with the results of Jung et al.
Obtaining micro cuttings of potatoes by clonal micropropagation

At present, high-quality healthy planting material of potato tubers cannot be obtained without the use of clonal micropropagation technology, with the help of which, through micro-cuttings, it is possible to recover from viral, viroid, bacterial and fungal infections and mass propagation of economically valuable varieties. The wrong choice of explants and ineffective sterilization are the most common causes of suppression of the growth of microplants, bacterial infections, necrosis of shoot tips, habituation and growth of tissues, lack of rooting at the stage of rhizogenesis and successful acclimatization at the stage of adaptation to non-sterile conditions, etc.