Miracle-dz/UniFAR-FTUs huggingface dataset:
Survey on collaborative filtering for Digital Libraries

- Library management are of huge importance in colleges and universities. Though the present management approaches have made major achievements, these approaches do not consider college students' parallel education trajectories in the same way. In order to manage and recommend books to students is very critical for college. This paper proposes a library management and book recommendation process for student and staff on the basis of algorithm which is based on the time sequential collaborative filtering recommendation, which is combined with students' learning path. In order to suggest books resourcefully, our algorithm leverages space distance. In this algorithm, we consider two important characteristics: first is time sequence information of borrowing books and the flow times of books. Our new results show that our book recommendation algorithm is in accordance with the college students' requirement for learning.
Accuracy and Reproducibility of the MicroScan Rapid Anaerobe

were tested. Correct identifications were obtained for 166 strains (70%) by visual reading and 157 strains (66.2%) by the AutoScan-4. Supplementary tests resulted in 80.1 and 76.7% total correct identifications, respectively. Comparison of the two reading methods revealed complete agreement for 169 strains. Differences between the two reading methods were due to difficulties in reading specific reactions. This was especially true with the clostridial species. The performance of the MicroScan system in the identification of anaerobic bacteria
MODELING AND EVALUATION OF A NEW EXOSKELETON USED FOR REHABILITATION OF OSTEOARTHRITIC HUMAN KNEE

The first objective of this paper is to develop the virtual model and physical prototype of a new exoskeleton, useful for the stabilization and rehabilitation of the human osteoarthritic knee (OA). The second objective is to validate the proposed exoskeleton using numerical and experimental results of the average exoskeleton cycle. An experimental study is provided to compare the amplitude and shape of mean cycles of knee flexion-extension angles of the exoskeleton, of a sample of eight healthy subjects, a sample of six patients with OA knees, before and three months after total knee replacement.
Unconscious pupillometry: An effect of "attentional contagion" in the absence of visual awareness.

When looking at other people, we can readily tell how attentive (or distracted) they are. Some cues to this are fairly obvious (as when someone stares intensely at you), but others seem more subtle. For example, increased cognitive load or emotional arousal causes one's pupils to dilate. This phenomenon is frequently employed as a physiological measure of arousal, in studies of pupillometry. Here, in contrast, we employ it as a stimulus for social perception. Might the human visual system be naturally and automatically engaging in "unconscious pupillometry"? We demonstrate that faces rendered invisible (through continuous flash suppression) enter awareness faster when their pupils are dilated. This cannot be explained by appeal to differential contrast, differential attractiveness, or spatial attentional biases, and the effect vanishes when the identical stimuli are presented in socially meaningless ways (e.g., as shirt buttons or facial moles). These results demonstrate that pupil dilation is prioritized in visual processing even outside the focus of conscious awareness, in a form of unconscious "attentional contagion. " (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Anthropometrics Characteristics and Physical Fitness of Private and Government School Boys of Lodhran, Punjab, Pakistan

This study is the comparison of the anthropometric and physical fitness of schoolboys. Data was collected from government (n = 125) and private (n = 125), ten -to- years old. An independent t-test was applied to compare stature, body mass, girths, lengths, push-ups, standing broad jump, agility and 30-meter dash. Results showed the private schoolboys were significantly superior to the government schoolboys in body mass, girths and inferior in 30-meter dash and agility. It is concluded the private school boys have a better option of food intake and transportation to reach school than the government schoolboys. Therefore, private school boys were higher in body mass and girths than the government schoolboys. It also concluded physical activity like walking play a vital role in the growth and fitness of schoolboys. Thus, it is suggested parents should focus on the growth and fitness of schoolboys by giving proper exercise time and a balanced diet.
Synthesis and Characterization of Some New Pyrazoline and Isoxazoline Derivatives as Antibacterial Agents

In this paper some chalcones (C1-C8) are prepared based on the reaction of one mole of substituted acetophenone with one mole of substituted benzaldehydes in the presence of (40%) sodium hydroxide as a base. Pyrazolines (P1–P8) are prepared from the reaction of chalcones (C1-C8) with hydrazine hydrate. Isoxazoline (I1-I8) is prepared from the reaction of chalcones (C1-C8) with hydroxyl amine hydrochloride in the presence of (10%) sodium hydroxide as a base. These compounds are characterized by using various physical and spectral methods. The compounds are screened for their in vitro antibacterial activity using grampositive bacteria and gram-negative bacteria. Several derivatives of pyrazolines and isoxazolines are produced well to moderate activities against number of bacteria.
Remote Based Intelligent Agriculture Monitoring System

: The most important challenges in the field of agriculture are to improve the productivity of the farm and to maintain the crop filed. The key objective of the proposed system is to control the cropland functionalities such as the cultivation period, pump functionalities, future plantation suggestions using the Internet of Things. The proposed IoT-based agriculture monitoring scheme uses the concept of sensor networks. Smart agriculture is a new strategy which is getting popular amidst the agriculturists. A farm which has deployed sensor networks can have better control over the crops, help to collect useful data, and automate various farming routines. The mode of communication involves mail alerts over the suggestion and cultivation period. The humidity, temperature, pH value of the soil is continuously acquired as data from the sensors deployed in the field. This helps to reduce the expenditure and human intervention which ensures maximum yield to the farmers.
Predictability of Hiring Mechanisms for Elementary Teachers

PREDICTABILITY OF HIRING MECHANISMS FOR ELEMENTARY TEACHERS Troy Juracek University of Nebraska, 2016 Advisor: Dr. Kay A. Keiser This study focused on hiring the best teachers to determine if the use of commercially available teacher selection mechanisms resulted in hiring teachers having a greater impact on reading achievement. There is substantial research related to the use of interviews for teacher selection (Mertz, 2010). However, limited research exists reviewing commercial interview protocols with improvement of academic achievement (District Administration, 2015). There was a significant main effect comparing reading achievement outcomes between Title 1 and Non-Title 1 building and there was a significant relationship between applicant screeners. The district has effective selection mechanisms, inclusive of the HUMANeX protocols; however, the mechanisms did not identify teachers with higher level of teacher efficacy to predict reading achievement. Teacher selection must be based on more than a single quantitative score deduced from a list of structured interview questions.
Molecular Dynamics Simulations of Molecules under Confined Geometry: from Binary Mixture to Perfluorinated Polyphile Dissertation

ix Introduction 1 0.1 Liquids under Silica Confinement . 1 0.2 Polyphilic Molecules Incorporated into DPPC Bilayer . 2 0.3 Thesis Content . 5 1 Theory 6 1.1 Fundamentals of Molecular Dynamics . 6 1.2 MD Simulations in the Canonical Ensemble . 9 1.3 MD Simulations with Force Field . 10 2 Results published within this thesis 12 2.1 Paper I . 12 2.2 Paper II . 23 2.3 Paper III . 31 2.4 Paper IV . 40 3 Conclusion 52 3.1 Polyphile Molecules Constrained in DPPC Bilayer . 52
DOES ENERGY PRICES AFFECT THE INVESTOR SENTIMENT?: SHORT- AND LONG-TERM ANALYSIS IN EQUITY MARKET OF ISTANBUL STOCK EXCHANGE

In this study, we investigate the shortand long-run effects of energy prices on investor sentiment. Using some market-based variables and consumer confidence index among widespread sentiment measures, we construct two sentiment indexes by using principle component analysis. We employ Johansen Cointegration, Granger Causality and Vector Autoregressive (VAR) models and find that there is long-run equilibrium between sentiment index with raw data and energy prices. However, we do not find any evidence for short-term effect of change in energy price on investor sentiment. Developing a local sentiment index and finding evidence of long-term relationship between energy prices and sentiment for an energy-dependent emerging country like Turkey, we contribute to the related literature.
The Influence of Quality of Physical Environment, Food and Service on Customer Trust, Customer Satisfaction, and Loyalty and Moderating Effect of Gender: an Empirical Study on Foreigners in South Korean Restaurant

To explore the impact of restaurant service quality for foreigners in South Korea on customer satisfaction, customer trust, and loyalty from three dimensions: quality of physical environment, food quality, and service quality and the influence of perceived price on satisfaction and loyalty, a survey was conducted by collecting 202 valid questionnaires and Amos 23 was used to examine the relationships between variables. The results show that the quality of physical environment, food quality, and service quality have significant positive effects on customer trust, but only food quality has a significant effect on customer loyalty and all three have no significant effects on customer satisfaction. In addition, customer trust has a significant positive effect on customer satisfaction and customer loyalty, but the effect of customer satisfaction on loyalty has not been verified in this study. At the same time, perceived price has a significant positive effect on customer satisfaction, but no significant effect on customer loyalty. Then the study examined the moderating effect of gender by using the SEM multi-group analysis method, founding that there are no significant differences between male and female on the impact of the three dimensions of restaurant service quality on customer satisfaction, and no significant differences between male and female on the impact of perceived price on customer satisfaction and customer satisfaction on loyalty, meaning that gender’s moderating effects are not valid. These conclusions of this study are useful for restaurant operators to improve the quality of the physical environment, food quality and service quality, effectively improve customer trust, and thus customer satisfaction and loyalty.
DNN-driven Gradual Machine Learning for Aspect-term Sentiment Analysis

Recent work has shown that Aspect-Term Sentiment Analysis (ATSA) can be performed by Gradual Machine Learning (GML), which begins with some automatically labeled easy instances, and then gradually labels more challenging instances by iterative factor graph inference without manual intervention. As a non-i.i. d learning paradigm, GML leverages shared features between labeled and unlabeled instances for knowledge conveyance. However, the existing GML solution extracts sentiment features based on pre-speciﬁed lexicons, which are usually inaccurate and incomplete and thus lead to inadequate knowledge conveyance. In this paper, we propose a Deep Neural Network (DNN) driven GML approach for ATSA, which exploits the power of DNN in feature representation for gradual learning. It ﬁrst uses an unsupervised neural network to cluster the automatically extracted features by their sentiment orientation. Then, it models the clustered features as factors to enable implicit knowledge conveyance for gradual inference in a factor graph. To leverage labeled training data, we also present a hybrid solution that fulﬁlls gradual learning by fusing the inﬂuence of supervised DNN predictions and implicit knowledge conveyance in a uniﬁed factor graph. Finally, we empirically evaluate the performance of the proposed approach on real benchmark data. Our extensive experiments have shown that the proposed approach consistently achieves the state-of-the-art performance across all the test datasets in both unsupervised
rbcL AND ITS BARCODING AND PHYLOGENETICS OF CYCAS PSCHANNAE Srivast & Singh

Barcoding of Cycas pschannae Srivast. & Singh from Andaman & Nicobar Islands was done with the help of rbcL and ITS(Standard Universal Barcode SequenceCBoL) and submitted to GenBank. Phylogenetic relationship of this species was analyzed and Cladistic study of nine Cycas species from India and adjacent country including Cycas revoluta thunb had been conducted with help of BLAST tool by using rbcL barcode sequence, which reveals that Cycas pschannae has close relation with Cycas circinalis as compared to other Indian species.
Pregnancy-Specific Concerns and Psychological Impact of COVID-19 on Antenatal Women

OBJECTIVE: The ongoing COVID-19 pandemic is causing widespread concern, fear, stress, anxiety, and depression throughout the population worldwide. Pregnant women, being a vulnerable group, are grossly affected by these changing environmental scenarios. The spread of Corona Virus infection itself and the subsequent nation-wide lockdown in India, just like many other countries, has caused a serious impact on antenatal patients. The objective of this study was to bring out the specific concerns of pregnant women during the ongoing COVID-19 pandemic and also to assess the prevalence of Depression and Anxiety Disorder owing to the pandemic. STUDY DESIGN: This cross-sectional survey among antenatal patients was conducted in the outpatient department of a tertiary care obstetric center which is also a designated COVID hospital. Prevalidated questionnaires, Personal Health Questionnaire-9 & Generalized Anxiety Disorder questionnaire-7 were used for data collection. A semi-structured questionnaire was used to evaluate pregnancy-specific concerns of the patients with respect to the COVID-19 pandemic. RESULTS: The overall prevalence of moderate to severe depression in the survey was found to be 13.2% (n=66). The prevalence of moderate to severe anxiety disorder was found to be 9.8% (n=49). CONCLUSION: This study has brought out the need for urgent attention to the psychological impact of COVID-19 on pregnant women. Pregnant women being a vulnerable group, especially during this pandemic, need special attention to their psychological wellbeing as well.
Regional Imprints of Changes in the Atlantic Meridional Overturning Circulation in the Eddy-rich Ocean Model VIKING20X

Abstract. A hierarchy of global 1/4° (ORCA025) and Atlantic Ocean 1/20° nested (VIKING20X) ocean/sea-ice models is described. It is shown that the eddy-rich configurations performed in hindcasts of the past 50–60 years under CORE and JRA55-do atmospheric forcings realistically simulate the large-scale horizontal circulation, the distribution of the mesoscale, overflow and convective processes, and the representation of regional current systems in the North and South Atlantic. The representation, and in particular the long-term temporal evolution, of the Atlantic Meridional Overturning Circulation (AMOC) strongly depends on numerical choices for the application of freshwater fluxes. The interannual variability of the AMOC instead is highly correlated among the model experiments and also with observations, including the 2010 minimum observed by RAPID at 26.5° N pointing at a dominant role of the forcing. Regional observations in western boundary current systems at 53° N, 26.5° N and 11° S are explored in respect to their ability to represent the AMOC and to monitor the temporal evolution of the AMOC. Apart from the basin-scale measurements at 26.5° N, it is shown that in particular the outflow of North Atlantic Deepwater at 53° N is a good indicator of the subpolar AMOC trend during the recent decades, if the latter is provided in density coordinates. The good reproduction of observed AMOC and WBC trends in the most reasonable simulations indicate that the eddy-rich VIKING20X is capable in representing realistic forcing-related and ocean-intrinsic trends.
Preparation of Au nanoparticles in a non-polar medium: obtaining high-efficiency nanofluids for concentrating solar power. An experimental and theoretical perspective

This paper presents the preparation of Au nanoparticles in a non-polar medium, which is a fluid composed of the eutectic mixture of biphenyl and diphenyl oxide commonly used in Concentrating Solar Power (CSP) plants. The nanofluids prepared showed enhanced thermal properties, presenting thermal conductivity values 70% higher than those of base fluids, and isobaric specific heat values up to 10% higher. In turn, an increase of up to 36% was observed in their heat transfer coefficient, which is their efficiency as a heat transfer fluid (HTF). Also, the stability of the nanofluids was analysed using UV-vis spectroscopy, and particle size and ζ potential. The nanofluids with lower concentrations agglomerate slowly, which is considered stable for this application. Thus, these nanofluids are a promising, interesting alternative to the HTF often used in CSP plants. Also, molecular dynamics calculations were performed to better understand how the Au-nanofluid behaves in the presence of a surfactant within a temperature range between 50 and 600 K. The isobaric specific heat and thermal conductivity values followed the same experimental tendency. The analysis of the radial distribution functions (RDFs) and spatial distribution functions (SDFs) showed that, as the temperature rose, an exchange took place between the surfactant and diphenyl oxide molecules in the first layer of molecules around the metal. This movement incorporated a directionality that may play a part in the enhanced thermal properties. The surfactant participates as an active component within the Au-nanofluid, contributing to efficient heat transfer processes.
egWebsite : Application of Methyl Jasmonate and Chitosan on Behavior of “ Anna ” Apple Seedlings Grown under Water and Heat Stress Conditions [ 86 ]

The role of methyl jasmonate and chitosan application as antistress materials on responses of “Anna” apple seedlings grown under water and heat stresses was evaluated during 2018 and 2019 seasons. Anna" apple seedling were exposed to three levels of water regiem reated to avaialable (100, 80 and 60%), kept in the plastic greenhouse conditions at 45 ± 2°C. , and treated with MeJA at 1.0 and 2.0 mM as well as chitosan at 0.5 and 1.0 %. Vegetative growth parameters, leaf mineral contents, chemical constituents and physiological attributes were detcrmined through out the development of apple seedling abiotic stress. Vegetative growth parameters including plant height (cm), average stem diameters (cm), total number of leaves/ plant, leaf area (cm), number of branches/plant and shoot lengths (cm), fresh and dry weights (g/plant) greatly affected with both studied factors. Application of methyl jasmonate at 2.0 mM and chitosan at 1.0 % combined with irrigation with the three levels of recommended water regien (100, 80 and 60%), were superior than other treatments or untreated one in recording the highest values of all vegetative growth parameters in both seasons. All anti -stress materials were effective in increasing apple seedlings levels of macro (N, P and K) and micro (Fe, Zn, Mn and Cu) elements compared to untreated apple seedlings. However, chitosan treatment at 1.0 % in combination with all water regiems were more effective in improving the nutrition status of treated seedlings. Additionally, high values of total chlorophyll and carbohydrates were achieved by apple seedlings irrigated with 100% of water regiem and sprayed with higher concentration from chitosan or methyl jasmonate materials. On the other hand, the untreated seedlings under all irrigation water regiems recorded the least values in this respect. On the contrary, the treatments of 2.0 mM methyl jasmonate and 1.0 % chitosan under heat and water stress conditions were effective in reducing proline amino acid, glycine betaine and phenolic compounds contents values which is similar to the apple seedling did not expose to stresses. Generally, it could be concluded that spraying apple seedlings with methyl jasmonate at 2.0 mM and chitosan at 1.0 % in combination with all water regiem considered a good horticulture application to alleviation of a biotic stress (water and heat).
Structural Studies of a Novel Extended Synaptotagmin with Only Two C2 Domains from Trypanosoma brucei

Extended synaptotagmins (E-Syts) are a group of evolutionarily conserved proteins localizing at membrane contact sites between the endoplasmic reticulum (ER) and the plasma membrane, where they mediate inter-membrane lipid transfer and control plasma membrane lipid homeostasis. There are three E-Syts in mammals, which all contain an N-terminal transmembrane (TM) hairpin for the association with the ER membrane, and a central synaptotagmin-like mitochondrial-lipid binding protein (SMP) domain as a carrier for phospholipids. Additionally, mammalian E-Syt1 and E-Syt2/E-Syt3 respectively have five and three C2 domains at their C-terminus, which mediate their interaction with the plasma membrane. Here we report a novel E-Syt from the protist parasite Trypanosoma brucei, TbE-Syt. Despite also having the TM hairpin and the SMP domain, TbE-Syt contains only two C2 domains, which makes it the shortest E-Syt currently identified. We determined a 1.5 A resolution crystal structure of the TbE-Syt C2B domain, which showed that it binds two Ca2+ ions. Our mutagenesis studies demonstrated that TbE-Syt-C2B binds lipids via both Ca2+- and PI(4,5)P2-dependent means. Our bioinformatics analyses showed that TbE-Syt-C2A lacks the Ca2+-binding site found in C2B but may still interact with lipids via a basic surface patch. Furthermore, in contrast to the rigid V-shaped arrangement of the C2A and C2B domains in human E-Syt2, our analysis suggests that the two C2 domains in TbE-Syt are connected by a long flexible linker. We propose a working model for how TbE-Syt might tether the ER membrane and the plasma membrane to transfer lipids between the two organelles.
Plasma Preparation and Modification of Multi-Component High Polymer Molecular Nanocomposites

Low-temperature plasma belongs to non-thermal equilibrium plasma, which has higher electron temperature and lower gas temperature, so it is a new method for preparation and modification of nano-catalysts. Low temperature plasma has attracted wide attention in the preparation and modification of nano-catalytic materials because of its high efficiency, environmental friendliness and easy functionalization of materials. It shows outstanding advantages in the unconventional preparation, doping, defect and vacancy manufacture of nano-catalytic materials, so it is widely used in the preparation and modification of all kinds of catalysts. This paper mainly reviews the research progress of low temperature plasma in the preparation and modification of oxygen reduction, oxygen evolution, hydrogen evolution and fuel oxidation catalysts, and expounds the reasons for the performance improvement of these catalysts from different angles. The challenges of low temperature plasma in the preparation and modification of nanocatalysts are summarized, such as relatively high cost, reactor amplification, material controllable preparation and so on. Finally, the development trend of plasma preparation and modification of nanocatalysts is predicted.