Miracle-dz/UniFAR-FTUs huggingface dataset:
PSYCHOLOGICAL BIRTH ORDER, SELF-EFFICACY AND ACHIEVEMENT MOTIVATION IN STUDENTS

The study was conducted to find out the relationship among Psychological Birth Order, SelfEfficacy and Achievement Motivation in university students. It also investigated the role of Self-Efficacy in mediating the relationship between Psychological Birth Order and Achievement Motivation. Correlational research design was used. For data collection, purposive sampling technique was used from sample of 440 undergraduate and graduate students with age 17-25 years from college and universities. Psychological Birth Order Inventory (Campbell & Alan, 1991), Hermans Scale of Achievement Motivation (Hermans, 1970) and Self-Efficacy Scale (Schwarzer & Jerusalem, 1995) were used for data collection. Pearson Product Moment Correlation Analysis and PROCESS were used to find out correlation and mediation of variables. The results of the study showed that first Psychological Birth Order (men and women) significantly positively correlated with SelfEfficacy and significantly negatively correlated with Achievement Motivation. Middle and only Psychological Birth Order (men and women) significantly negatively correlated with Self-Efficacy. Middle. Significant negative relationship was found between youngest Psychological Birth Order (men and women) and Achievement Motivation. The results of mediation showed that Self-Efficacy was mediating the relationship between middle; only Psychological Birth Order and Achievement Motivation in both men and women. Furthermore, result of the t-test analysis showed that gender difference was found in Achievement Motivation with males having more Achievement Motivation than females.
Ácaros asociados al coleóptero Passalus cognatus (Coleoptera: Passalidae) de Los Tuxtlas, Veracruz, México

Se revisaron 35 ejemplares de Passalus cognatus Truqui recolectados en Los Tuxtlas, Veracruz, Mexico. En 20 de ellos se encontraron 245 acaros pertenecientes a ocho especies, ocho generos, ocho familias y tres subordenes. Las especies de acaros mas abundantes fueron Uroobovella californiana Wisniewski y Hirschmann (35%), Euzercon hyatti Hunter y Rosario (20%) y Uropoda sp. (17.5%). Las zonas de fijacion preferidas por los acaros fueron las coxas; en menor proporcion el mesoesternon y los humeros. Los pasalidos infestados presentaron de 1 a 40 acaros, con un promedio de 12. El numero de especies de acaros por pasalido infestado fue de 1 a 4.
Learning Management, Based on Lesson Study, for Quality Control in English Education Study Programs

This study aims to analyze and describe learning management as based on lesson study, for quality control in English Education Study Programs. This research is a qualitative, descriptive study using direct observations, interviews and documentation. The informants were from the Head of Study Program, Secretariat of the Study Program, the Study Program Quality Assurance Unit, and a lecturer at the institution's head of the High School. From interviews and documentation carried out at the lesson planning stage, several obstacles faced by model lecturers when teaching were found. In addition, the observer / senior lecturer has suggestions for improvements, in the form of selecting methods that vary according to the topic, the use of innovative media, and assessments that focus on process evaluation.
Privately computing inﬂuence in regression models

We consider a crowdsourcing data acquisition scenario, such as federated learning, where a Center C collects data from a set of agents A, with the aim of training a model. To preserve data privacy, the data is not provided directly, but only in aggregated and possibly obfuscated form. To protect itself against low-quality data hidden in the aggregate, the Center may want to evaluate the effect that incorporating the data has on its model accuracy. We propose using a notion of inﬂuence to make this evaluation. We assume that either the Center has an independent test data set or it relies on data held by another set of agents B. For both linear and logistic regression models, we present a novel method for approximating this inﬂuence. We show how this protocol can be implemented efﬁciently and securely using multiparty computation among A, B, and C, so that A, B and C can assess the quality of individual data items held by A and B without acquiring the data itself.
CHALLENGES AND ISSUES FOR SUCCESSFULLY APPLYING VIRTUAL REALITY IN MEDICAL REHABILITATION

Out of the many uses of eLearning - one that stands out for having a potentially great impact on the quality of life of its users - is relearning physical and psychical abilities that were lost after acute illnesses or injuries through rehabilitation processes. Such disabilities are a great burden on the patient, on his caregivers, and on society. Simple everyday tasks represent a challenge and the patient must learn again gestures that seemed habitual before the accident. Amongst the various sciences and technologies that have been used in order to improve the classical rehabilitation processes, Virtual Reality seems to be one of the most promising. Virtual Reality is an emerging science in the field of rehabilitation, that is gaining more and more uses, due to its great advantages, such as stimulating movement and cerebral activity, increasing attention levels and simulation various environments that enhance the rehabilitation sessions. The fact that VR technologies are not yet used on a large scale in rehabilitation is due to certain disadvantages that are limiting its adoption in every specialized clinic or rehabilitation center. Despite its many benefits, Virtual Reality in rehabilitation also has notable disadvantages that result from it using state of the art technology such as: cost-related issues, issues generated by the human-computer interfaces that it uses, which may seem unnatural for first time users, immersion issues may influence the quality of the rehabilitation process, and also compatibility issues between various devices may arise. Virtual Reality systems usually process large amounts of data, thus need processing and storage capacity. Also, many VR systems users reported side effects that cannot be ignored, as they may have an impact on the quality of the rehabilitation process but may also bring legal and ethical issues. In order to be widely adopted, VR rehabilitation must bring an obvious and secure improvement to the patient, creating an attractive price/benefit ratio. Also, the expectations of the patient must be aligned to the possibilities that the technology offers and the practitioners must be tutored in using such systems in order to obtain the most benefits. In this article we will review the most important disadvantages as well as analyze possible solutions for overcoming them. The solutions may be available at the present moment, or may require that the technology progresses, but the key factor seems to be cost related, as lowering the costs of VR technology would allow more users to access its features, some as end users and some as potential developers, allowing them to discover and correct the shortcomings of VR applications and devices.
How Word-of-Mouth and Customer Satisfaction Mediate CRM and Behavioural Intention, in Thailand’s Hotel Industry

The study explore the nexus between CRM practices. Those practices are the intention of customer to re-visit the Thai hotels (Behavioural Intention), Word Of Mouth (WOM), and customer satisfaction among the victors of the Thai hotel industry. Firstly, the impact of CRM practices, namely; service quality, physical environment, and social networking about the intention to re-visit were examined, in the Thai hotel industry. Secondly the study examined the mediating role of customer satisfaction in the relationship between CRM practices, namely; WOM, customer satisfaction and the re-visit intention among victors described above. The final practice examined is the moderating role of WOM in the relationship between behavioural intention to revisit the hotel, and customer satisfaction. The study author has chosen the visitors of the three-, fourand five-star hotels as respondents. In total 420 questionnaires were received, completely and properly filled out; a response rate of 70 percent. Due to the research objectives, abilities and goals, SEM-PLS was used to analyse data. Questionnaire items were adopted using prior studies. The results of this study support its hypothesized results. The research is among the pioneering studies on the issue, and will help future researchers understand it.
Individual Research Project Final Report

Macroscale mobility information refers to expressing spatially and temporally the order in which customer moved. Wireless fingerprinting technology provides more accurate location information than GPS from inside to outside of the store. This enables to successfully predict revisit using only the data collected within specific store. At the same time, companies that have a broader range of macroscale mobility information also need for several analysis methods and predicting revisit. In this study, we propose the model for predicting customer revisit time. there are three main objectives. First, we present a model for predicting revisit time for specific categories or brand rather than a single store. Second, we solve the data leakage problem, which is not known whether the customer visit after that time when using data up to a certain point for training model. Third, we define features and embedding factors related to revisit in macroscale mobility information and to extend the WTTE-RNN methodology. As a result, Our model has less error in actual revisit time and can be classified well accordingly for customers who do not return than Cox, which is one of the existing models of survival analysis. Revisit prediction is highly applicable to various areas such as target marketing and customer group classification Moreover, we present pre-trained embedding to better characterize the data to develop the model in part 2. The data used in this study has a hierarchical structure So we use Poincare embedding for learning hierarchical representations by embedding entities into hyperbolic space. We make the assumption that The closer you are, the more similar categories or brands you have, the more frequently you visited at similar times, and the more similar complex you are in, the greater the similarity between POIs. Several examples show that the results of embedding follow assumptions. The embedding itself may be used as a method of quantifying the similarity between places. Furthermore, you can define user embedding based on the records that customers have visited in the past. This will eventually be able to classify customer groups and help target marketing.
MMSAT: A Scheme for Multimessage Multiuser Signature Aggregation

Post-Quantum (PQ) signature schemes are known for large key and signature sizes, which may inhibit their deployment in real world applications. In this work, we construct a PQ signature scheme MMSAT that is the first such scheme capable of aggregating unrelated messages signed individually by different parties. Our proposal extends the notion of multisignatures, which are signatures that support aggregation of signatures on a single message signed by multiple parties. Multisignatures are especially useful in blockchain applications, where a transaction may be signed by multiple users. The proposed construction achieves significant gains in bandwidth and storage requirements by allowing aggregation of unrelated transactions. Our construction is derived by extending the PASSRS scheme, and thus the security of our scheme relies on the hardness of the Vandermonde-SIS problem. When aggregated, a signature consists of two parts. The first part is a post-quantum size signature that grows very slowly, scaling by on the order of logK bits for K signatures. The second part scales linearly with K, with a very short fixed cost, roughly twice the bit security. Thus even when aggregating a modest number of signatures, the per signature cost of MMSAT is in line with that of traditional pre-quantum signature schemes such as ECDSA. As an extension to MMSAT, we describe a variant called MMSATK in which it the public keys required to verify an aggregated signature are compressed by a factor of 20 to 30.
Correlations between cytologically detected plant-fungal interactions and pathogenicity of Magnaporthe grisea toward weeping lovegrass

Genetic analysis previously demonstrated that two strains of the ascomycetous plant pathogen, Magnaporthe grisea, differ in a single gene controlling pathogenicity to weeping lovegrass. This study was undertaken to determine the feasibility of identifying a microscopic feature that segregates with the gene for pathogenicity to weeping lovegrass. Cytological results are reported for weeping lovegrass inoculated with the parental strains and progeny from two tetrads obtained from crossing these strains (.)
Correlation of polymorphic variation in the promoter region of the interleukin‐1β gene with secretion of interleukin‐1β protein

Objective Significant variation in interleukin-1β (IL-1β) protein secretion between subjects has been observed when using a lipopolysaccharide (LPS)/ATP–mediated ex vivo blood stimulation assay. To explore the potential relationships between genetic polymorphisms in the IL1B cytokine gene and cellular responses to inflammatory stimuli such as LPS, we investigated the hypothesis that polymorphisms within the promoter and exon 5 of the IL1B gene contribute to the observed differences in IL-1β protein secretion. Methods The IL1B gene polymorphisms C−511T, T−31C, and C3954T were tested for association with LPS-induced secretion of IL-1β protein as measured by an ex vivo blood stimulation assay. Samples from 2 independent study populations (n = 31 and n = 25) were available for use in the ex vivo assay after consent was obtained to analyze the DNA. Results A specific haplotype, composed of the T allele at −511 and the C allele at −31, was significantly associated with a 2–3-fold increase in LPS-induced IL-1β protein secretion. This association was observed in both of the independent study populations (P = 0.0084 and P = 0.0017). Conclusion These data suggest that polymorphisms within the promoter region of the IL1B gene contribute to observed differences in LPS-induced IL-1β protein secretion.
Predicting mammalian target-specificity of the M-44 ejector in south-eastern Australia

Meat-based baits are currently used for the control of the exotic red fox (Vulpes vulpes) in south-eastern Australia. Thirty-one quadrupedal endemic mammals are considered to be potentially bait consuming (PBC) and may be exposed to bait toxicants. Mechanical toxicant ejectors may be more selective if some PBC species cannot apply enough upward force to trigger them. A simple relationship between body mass and pulling force was sought to enable estimates of ejector specificity to be made. The pulling force applied to ejector baits was measured for the red fox and six endemic mammals. The relationship between body mass and pulling force was highly significant (P 3 kg to trigger the device, while eliminating exposure of 26 of the 31 PBC mammals. Appropriate toxicant selection and dose rates may ensure that four out of five susceptible mammals are less likely to be affected by unwanted exposure.
An overview of the hydrologic concerns related to wetlands in the United States

There is a tremendous diversity in wetland types and wetland vegetation in the United States, caused primarily by regional, geologic, topographic, and climatic differences. Wetland hydrology, a primary driving force influencing wetland ecology, development, and persistence, is as yet poorly understood. The interaction between groundwater and surface water and the discharge–recharge relationships in wetlands affect water quality and nutrient budgets as well as vegetative composition. Hydrologic considerations necessary for an improved understanding of wetland ecology include detailed water budgets, water chemistry, water regime, and boundary conditions. Wetland values are often based on perceived wetland functions. These hydrologic functions include (i) flood storage and flood-peak desynchronization, (ii) recharge and discharge, (iii) base flow and estuarine water balance, and (iv) water-quality regulation. Expanded research and basic data collection focussed on wetland hydrology and its relation to wetlan.
Sodium fluxes in roots of Eleocharis uniglumis, a brackish water species

Abstract Fluxes of sodium across the plasmalemma and tonoplast of the roots of Eleocharis uniglumis have been measured using 22Na. E. uniglumis (one glumed spike rush) was collected from an estuarine habitat where it was growing in a wide range of salinities (1 mM-50 mM Na). Compartmental analysis was used to determine sodium concentrations in the cytoplasm and the vacuole. Application of the Ussing-Teorell equation revealed the presence of sodium pumps in the plasmalemma and the tonoplast. Active sodium transport into the cytoplasm from the bathing medium was found to occur in most of the external sodium concentrations investigated. There also appeared to be active transport of sodium into the cytoplasm from the vacuole. In contrast to halophytes, high levels of sodium appeared to be accumulated in the cytoplasm of E. uniglumis roots.
More Than Meets the fMRI: The Unethical Apotheosis of Neuroimages

Biography Eran Shifferman is an independent researcher focusing on various aspects of the evolution of cognition. He began his academic journey as an ethologist and then switched to philosophy of biology and psychology, and finally ethics and science communication. In his work Shifferman attempts to provide broad palate accounts of the emergence, persistence, propagation and fixation of cognitive novelties along the phylogenetic tree. While doing so, Shifferman is critical of the many discourses he’s using and tries to make these scientific products more accessible to the public.
Airborne particulate matter, hydroxyl radical production and cellular toxicity

Studies suggest that oxidative stress is a cause for the observed pathology in lung after exposures to air pollution. The aim of this study was to examine the effects of different airborne particulate matter (PM) on the survival of human bronchial epithelial cells immortalized with adenovirus-12 SV40 hybrid virus clone 2b (BEAS-2B cells, S6 subclone; BEAS). This was achieved by correlating cell survival directly with the flux of hydroxyl radicals (•OH) generated in a mixture of cells and particulates. A relatively new and highly sensitive fluorescence-based method was used to detect and quantify •OH. Two different toxicological methods were employed to test BEAS-2B cell survival in the presence of various types of airborne PM. Low •OH production was observed when this cell line was exposed to diesel particulate matter resulting in moderate toxicity. Urban dust (UD) which produced similar •OH flux in the presence of cells, resulted in protection from phosphate buffer saline toxicity, a required control. Amorphous silica which did not generate •OH radicals was the most toxic of all the particles tested. On the other hand, both cell death and hydroxyl radical formation were substantially enhanced when an external biological reductant, β-nicotinamide adenine dinucleotide phosphate, was added to a suspension of cells and UD. These results suggest that oxidants are crucial in generating high concentration of •OH and consequently cell death.
SIFT-LDA for Face Recognition

Humans possess an innate cognitive ability to recognize faces and identify persons in an instanta neous and effortless manner. Face Recognition (FR) aims to emulat e this capability using automated mechanisms and has been at the crux of research efforts in the domain of computer visio n for the past two decades. Even though this process of emulation is arduous, it holds considerable promise in terms of its potentia l applicability, and hence, FR has steadily received consistent mainst ream attention. The human cognition system generally sto res and recollects images instantly based on necessity and similarly, machine vision replicates this process by storing i mages in a database and accordingly requires to be competently trained in order to accurately recognize faces. In this regard , many diverse algorithms have been proposed over the years with va rying effectiveness. Therefore in this paper, we meticulou sly compare the conventional SIFT features method with its Weight ed PCA and LDA variants in order to investigate as to which approach is more potent. Keywords—Eigenfaces; Fisherfaces; Face Recognition; SIFT; PCA; LDA.
Two new species of Lestodiplosini (Diptera: Cecidomyiidae) preying on Homoptera and Thysanoptera in southern Florida.

Two new species of predaceous Lestodiplosini from southern Florida are described and illustrated. Lestodiplosis laticaulis Gagne preys on Diaspis echinocacti (Bouche) (Homoptera: Coccoidea: Diaspididae), and Thripsobremia thripivora Gagne preys on Gynaikothrips ficorum (Marchal) (Thysanoptera: Phlaeothripidae) and Trioza magnoliae (Ashmead) (Homoptera: Psyllidae). The new species are compared to their congeners and the status of Thripsobremia is discussed.
Exploiting the potential of dried tomatoes and their processing by-product to enhance the thermo-oxidative stability of rapeseed oil

The goal of this study was to improve the thermo-oxidative stability of rapeseed oil used in various high-temperature food applications. At the same time, consideration was given to valorize the bioactive potential of a by-product resulting in large amounts from industrial tomatoes processing. For this purpose, the dried tomatoes powder and their processing by-product powder have been added at a level of 200, 500 and 1000 ppm in rapeseed oil subjected to convective heating for 240 min at 185±5°C. Further, the thermo-oxidative degradation of heat-treated oil samples was monitored. The results of this research showed that the tomatoes processing by-product has a high content of bioactive compounds. The tomatoes powder as well as their processing by-product powder added in the oil samples at a level of 500 ppm has an inhibitory effect on the thermo-oxidative degradation of rapeseed oil similar to butylhydroxytoluene (BHT) applied to a level of 200 ppm. Thus, the tomatoes powder and their processing by-product are recommended as natural antioxidants for edible oil used in high-temperature food applications.
Complete Genome Sequences of the SARS-CoV: the BJ Group (Iso-

Shengli Bi*, E’de Qin*, Zuyuan Xu*, Wei Li*, Jing Wang*, Yongwu Hu*, Yong Liu*, Shumin Duan, Jianfei Hu, Yujun Han, Jing Xu, Yan Li, Yao Yi, Yongdong Zhou, Wei Lin, Jie Wen, Hong Xu, Ruan Li, Zizhang Zhang, Haiyan Sun, Jingui Zhu, Man Yu, Baochang Fan, Qingfa Wu, Wei Lin, Lin Tang, Bao’an Yang, Guoqing Li, Wenming Peng, Wenjie Li, Tao Jiang, Yajun Deng, Bohua Liu, Jianping Shi, Yongqiang Deng, Wei Wei, Hong Liu, Zongzhong Tong, Feng Zhang, Yu Zhang, Cui’e Wang, Yuquan Li, Jia Ye, Yonghua Gan, Jia Ji, Xiaoyu Li, Xiangjun Tian, Fushuang Lu, Gang Tan, Ruifu Yang, Bin Liu, Siqi Liu, Songgang Li, Jun Wang,Jian Wang, Wuchun Cao, Jun Yu, Xiaoping Dong, and Huanming Yang Center of Disease Control and Prevention, Beijing 100050, China; 2 Institute of Microbiology and Epidemiology, Chinese Academy of Military Medical Sciences, Beijing 100071, China; Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China; James D. Watson Institute of Genome Sciences, Zhijiang Campus, Zhejiang University and Hangzhou Genomics Institute, Hangzhou 310008, China; College of Life Sciences, Peking University, Beijing 100871, China; Wenzhou Medical College, Wenzhou 325003, China; Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China; College of Materials Science and Chemical Engineering, Yuquan Campus, Zhejiang University, Hangzhou 310027, China.