Miracle-dz/UniFAR-FTUs huggingface dataset:
Face Security Authentication System Based on Deep Learning and Homomorphic Encryption

The development of deep learning technology has promoted the wide application of face recognition in many scenarios such as mobile payment and social media, but the security of user data is facing great challenges. To protect the privacy of users, face authentication cannot be operated in plaintext. To solve this problem, a face feature ciphertext authentication scheme based on homomorphic encryption is proposed. First, the face image feature extraction is completed based on a deep learning model. Second, the face features are packaged into ciphertext by using homomorphic encryption and batch processing technology, and the face feature ciphertext is saved in the database of the cloud server. Third, combined with automorphism mapping and Hamming distance, a face feature ciphertext recognition method is designed, which can complete face recognition in the case of ciphertext. Finally, the integrity and consistency of face feature ciphertext recognition results before and after decryption are guaranteed by the one-time MAC authentication method. The whole framework can finish identity recognition without decrypting face feature coding, and the homomorphic ciphertext of face feature coding is saved in the database, so there is no risk of face feature coding leakage. Experiments show that the system has met the requirements of real application scenarios.
AN EFFICIENT MACHINE LEARNING APPROACH TO RECOGNIZE GAIT COMPONENT

: Human motion is an important spatio-temporal pattern since it can be a powerful indicator of human well-being and identity. Many authentication techniques were developed over the years. Human gait recognition is one of these techniques. It involves the coordination of several parts of the human body: the brain, the spinal cord, the peripheral nerves, muscles, bones, and joints. Gait analysis has been widely studied for a variety of applications including healthcare, biometrics, sports and many more. The activities recorded in this dataset are walking, running, sitting and standing. In the new space, the spatial-temporal features are sufficiently combined with distance metric learning to drive the similarity metric to be small for pairs of gait from the same person, and large for pairs from different persons. In particular, human gait offers a unique motion pattern of the individual. Gait refers to the study of locomotion in humans and animals. This article explores machine learning techniques for user authentication on database which is a human gait data collection for analysis and activity recognition. Consequently, the experiments on the world’s largest gait database show our framework impressively outperforms state-of-the-art methods.
The Changing Face of Employee Silence in Different Organizational Cultures affecting Job Engagement

Organizational culture is an important factor that has a positive and negative effect on employees’ job engagement and silent behavior. Literature suggested four types of organizational cultures such as Power Culture, Role Culture, Achievement culture, and Support culture that influences the employee’s Job engagement behavior. The study aimed to explain the relationship between organizational culture and employees’ Job engagement through the mediation of employee silence in public sector universities of Quetta, Balochistan. 300 questionnaires were distributed among which 200 responses were obtained using convenience sampling method with cross-sectional design. Findings suggested that there is a significant relationship between organizational culture and job engagement. The mediating effect of employee silence was also found to be significant in the relationship between organizational culture and job engagement.
Livelihood Diversification Based On Strengthening Social Cohesion To Empower Landless Peasants

: Landless peasants experience problems such as difficulty earning livelihoods, low income, economic marginalization, and poverty. Therefore, this study explored diversification of livelihoods and strengthening social cohesion among landless peasants. It focused on the villages of Baturaden and Purbalingga Wetan, Central Java Province, Indonesia, using an intrinsic case study method. The results revealed that landless peasants were experiencing social differentiation, which weakened social cohesion and made cooperation, social networks, solidarity, and collectivity tenuous. Landless peasants classified into: tenants, tenant cultivators, sharecroppers, and farm laborers. Sharecoppers and farm laborers suffered the most from weakening social cohesion and had minimal access to economic opportunities on or off farms. Farm laborers were marginalized by low wages and difficulty finding employment. Overall, the study found the need for landless peasants to diversify their livelihoods, and suggest that strengthening social cohesion is important for sharecroppers and farm laborers to achieve guaranteed livelihoods and economic security.
DigitalStack: A NFT Marketplace

: Non-Fungible Tokens (NFTs) have suddenly caught the interest of investors, with some NFTs achieving previously incredible selling values for a non-fungible virtual asset. Through the lens of a digital asset's non-fungibility, this raises fascinating questions about "value" and "scarcity" in relation to blockchain technology, and the purpose of this paper is to bring attention to these questions as far as they may shape an alternative space of blockchain development and exchange in the future.
with Protective Antigen Responses Following Nasal Immunization Neutralizing Antibodies and Th Cell Effective Mucosal Immunity to Anthrax:

Mucosal, but not parenteral, immunization induces immune responses in both systemic and secretory immune compartments. Thus, despite the reports that Abs to the protective Ag of anthrax (PA) have both anti-toxin and anti-spore activities, a vaccine administered parenterally, such as the aluminum-adsorbed anthrax vaccine, will most likely not induce the needed mucosal immunity to efﬁciently protect the initial site of infection with inhaled anthrax spores. We therefore took a nasal anthrax vaccine approach to attempt to induce protective immunity both at mucosal surfaces and in the peripheral immune compartment. Mice nasally immunized with recombinant PA (rPA) and cholera toxin (CT) as mucosal adjuvant developed high plasma PA-speciﬁc IgG Ab responses. Plasma IgA Abs as well as secretory IgA anti-PA Abs in saliva, nasal washes, and fecal extracts were also induced when a higher dose of rPA was used. The anti-PA IgG subclass responses to nasal rPA plus CT consisted of IgG1 and IgG2b Abs. A more balanced proﬁle of IgG subclasses with IgG1, IgG2a, and IgG2b Abs was seen when rPA was given with a CpG oligodeoxynucleotide as adjuvant, suggesting a role for the adjuvants in the nasal rPA-induced immunity. The PA-speciﬁc CD4 (cid:1) T cells from mice nasally immunized with rPA and CT as adjuvant secreted low levels of CD4 (cid:1) Th1-type cytokines in vitro, but exhibited elevated IL-4, IL-5, IL-6, and IL-10 responses. The functional signiﬁcance of the anti-PA Ab responses was established in an in vitro macrophage toxicity assay in which both plasma
A Comprehensive Analysis of Teacher’s Professional Identity in Physical Education Undergraduates Based on Artificial Intelligence

Physical education (PE) teachers are instrumental in advancing China’s curriculum reform and promoting the wellness of adolescents, and the professional identity of these instructors represents the jumping-off point and drive of the occupation. This paper employed the implicit association test (IAT) based on the neural network model and the questionnaire survey method to compare the implicit and explicit stereotypes of teachers’ occupational commitment from the perspectives of college students majoring in PE. Moreover, the deep-learning-based intelligent methods of BERT and BiLSTM were used to capture and analyze the comments on open-source social media platforms to present the explicit main concerns that PE majors have about their professional identity. The findings showed the following: (1) the overall explicit and implicit career identity of PE majors turned out to be positive; (2) the implicit professional identity trended upward as the grade grew, whereas the explicit one went down among senior students; (3) specialized social practices were conducive to the increase in teacher professional identity among PE undergraduates; (4) urban students recognized PE teachers as a committed occupation more than their rural counterparts do; (5) training time was correlated to positive teacher professional identity; (6) male students were more likely to see PE teachers as a capability-centered occupation, while female students had a stronger affective commitment; (7) state PE policies helped elevate teacher professional identity; (8) the low social status of PE teachers and insufficient on-campus professional training were of major concern to develop PE majors’ teacher professional identity; and (9) most PE students pursued their prospective professional career for material gain.
The Impact of workplace bullying on university teachers self-efficacy: Mediating role of the university environment

Academics are not immune to workplace bullying. Several studies show that academic institutions have a higher rate of bullying than other organizations the overall nature of bullying's effects showsthat the victim, the people surrounding him or her, and the organization all suffer or are unable to function as effectively as previously. (Keashly and Jagatic 2011). The study investigated the impact of workplace bullying (WPB) on the university environment (UE) and the mediating function of the UE with the relationship between WPB and teacher self-efficacy (TSE). Survey data were obtained from 665 University faculty members from Pakistan.The proposed relationships were evaluated using SMART-PLS structural equation modeling.Significant impact of WPB on UE and TSE was found in this study.In addition, the study found that UE has a considerable impact on TSE, while WPB has an indirect impact on TSE through UE.The study is significant since there is a dearth of workplace bullying research in Pakistani universities. A very little research has been done on the effect of workplace bullying as a key indicator of university environment and research on the effect of university environment on self-efficacy of the teachers.This study is one of the first attempts to evaluate the relationship between WPB, UE, and TSE.This study has essential practical consequences for practitioners in higher education since it contains important information about the relationship between the university environment, teacher self-efficacy, and workplace bullying incidents. A key relationship between the university environment, teacher self-efficacy, and workplace
Accountability Practice Based On Define Component Among Guidance And Counseling Teachers In Students At Risk Of Dropping Out Intervention Program

Students at risk of dropping out intervention program (PIMBC) are an initiative of the Ministry of Education Malaysia (MOE) in addressing the issue of students at risk of dropout. Guidance and Counseling Teachers (GBK) are responsible for planning and implementing this program. Therefore, GBK accountability practices through the define component should be identified in the implementation of PIMBC to achieve program effectiveness. A survey study used to review the level of accountability practices based on gender, duration of service and school location. This study involved 395 GBK people who teach in national secondary schools. Descriptive analysis and inference analysis involving t-test and One-way ANOVA test is used in data analysis. The findings of the study showed that the mean for the define component was 4.03 while the t-test showed that there was a significant difference between the genders. On the other hand, for the duration of service and school location analyzed using one-way ANOVA showed no significant difference. The define component is the basis for GBK in program implementation and is able to influence efforts to achieve the program objectives.
k
 Nearest Neighbor Similarity Join Algorithm on High-Dimensional Data Using Novel Partitioning Strategy

k nearest neighbor similarity join on high-dimensional data has broad applications in many fields; several key challenges still exist for this task such as “curse of dimensionality” and large scale of the dataset. A new dimensionality reduction scheme is proposed by using random projection technique, then we design two novel partition strategies, including equal width partition strategy and distance split tree-based partition strategy, and finally, we propose k nearest neighbor join algorithm on high-dimensional data based on the above partition strategies. We conduct comprehensive experiments to test the performance of the proposed approaches, and the experimental results show that the proposed methods have good effectiveness and performance.
A Cost Effective Identity-Based Authentication Scheme for Internet of Things-Enabled Agriculture

The Internet of Things (IoT) has revolutionized practically every industry, including agriculture, due to its fast expansion and integration into other industries. The application of IoT in agriculture motivates farmers to use their resources wisely and allows for better field monitoring and decision-making, resulting in increased agricultural productivity. Because IoT-enabled agriculture systems need the use of various types of sensors that collect data (such as soil moisture and humidity) and then transmit it over the network. IoT-based agriculture systems, on the other hand, are always vulnerable to security threats. Authentication is one of the assured options for addressing the security concern, since it only enables an authorized party to access the data. Existing authentication schemes typically use the Rivest-Shamir-Adleman (RSA) algorithm and elliptic curve cryptography (ECC), which has a greater computational and communication cost. Furthermore, the security of the majority of existing authentication schemes is not verified using any security tool. As a result, we propose an identity-based authentication scheme for IoT-enabled agriculture in this article. To ensure that our scheme is cost-effective, we employ hyperelliptic curve cryptography (HECC). Our scheme surpasses existing authentication schemes in terms of computational cost and communication overhead while providing better security, according to a thorough investigation of performance and security.
Langerhans Cells Profile Compared with Epidermal Cell Histiocytosis Lesions Reveals a Distinct Cell-Specific Gene Expression in Langerhans

Langerhans cell histiocytosis (LCH) is a rare disease characterized by heterogeneous lesions containing CD207 + Langerhans cells (LCs) and lymphocytes that can arise in almost any tissue and cause signiﬁcant morbidity and mortality. After decades of research, the cause of LCH remains speculative. A prevailing model suggests that LCH arises from malignant transformation and metastasis of epidermal LCs. In this study, CD207 + cells and CD3 + T cells were isolated from LCH lesions to determine cell-speciﬁc gene expression. Compared with control epidermal CD207 + cells, the LCH CD207 + cells yielded 2113 differentially expressed genes (false discovery rate , 0.01). Surprisingly, the expression of many genes previously associated with LCH, including cell-cycle regulators, proinﬂammatory cytokines, and chemokines, were not signiﬁcantly different from control LCs in our study. However, several novel genes whose products activate and recruit T cells to sites of inﬂammation, including SPP1 (osteopontin), were highly overexpressed in LCH CD207 + cells. Furthermore, several genes associated with immature myeloid dendritic cells were overexpressed in LCH CD207 + cells. Compared with the peripheral CD3 + cells from LCH patients, the LCH lesion CD3 + cells yielded only 162 differentially regulated genes (false discovery rate , 0.01), and the expression proﬁle of the LCH lesion CD3 + cells was consistent with an activated regulatory T cell phenotype with increased expression of FOXP3 CTLA4 and SPP1 . Results from this study support a model of LCH pathogenesis in which lesions do not arise from epidermal LCs but from accumulation of bone marrow-derived immature dendritic cells that recruit
Implementation of Diverse Approaches in Teaching History as Contributing Factors for Promoting Patriotic Values

There are many approaches in teaching history subject in school, but which approach will be used in developing patriotism values among students. In this research, teachers act as learning managers should make systematic planning first. Such planning should be processed when writing daily lesson plans by recording strategies of various approaches. The strategies used should be appropriate to the topic to be taught and not limited to a single strategy in a teaching session. The application of the strategies that have been determined needs to be comprehensive and integrated by implementing knowledge, skills and values at once. The flexible, creative, innovative and able to strengthen the teaching and learning of teachers is the backbone of the effectiveness of this diversity approach. The ability of teachers knowing the strategies, approaches, methods and techniques in teaching patriotism values is in questions. The research is a quantitative research based on strategies, approaches, methods and techniques as independent variables, while the patriotism values as the dependent variables. The research is based on three research objective developed from literature reviews. Survey questionnaires based on independent and dependent variables is developed. The total population is 974 history teachers in Selangor state and 278 sample had been selected. The data were analyzed using descriptive and multiple regression analysis. The finding shows that the level of implementation of strategies, approaches, methods and techniques is moderate among the form 4 history teacher. It is important for teachers to equip themselves with the knowledge and skills of implementing diversify history teaching approach for high impact on patriotism values among students. The level of patriotism values among history teacher is also moderate. However, the strategies, approaches, methods and techniques are significantly influencing the history teacher preparedness on patriotism values during teaching and learning in classroom
Marketing Analytics Capability and ERP Systems Implementation: Theoretical Framework and Case Study

ERP systems implementation through investment in marketing analytics capabilities (MACs) is imperative in Industry 4.0 age. The theoretical framework is developed and utilised for mapping the case study of a nationally well-renowned ERP consultancy strategic business unit (SBU) of FCL. The FCL uses marketing analytics capability for ERP projects’ implementation and consultancy around Pakistan. It is one of the few companies that have complete structure for SAP EPR solutions. The Marketing Analytics Capability Framework (MACF) for this case study is composed of Culture Capability (CC), Technology Capability (TC), and People Capability (PC), along with ERP implementation cycle. The team heads and experts, with notable experience, were interviewed, through operationalisation of non-probability purposive sampling. A holistic view of MACs for ERP implementation, through paradigm lens of big data business analytics (BDBA) is presented.
Extensive Regulatory Changes in Genes Affecting Vocal and 1 Facial Anatomy Separate Modern from Archaic Humans 2

Changes in gene regulation are broadly accepted as key drivers of phenotypic differences between 44 closely related species. However, identifying regulatory changes that shaped human-specific traits 45 is a challenging task. Here, we use >60 DNA methylation maps of ancient and present-day human 46 groups, as well as six chimpanzees, to detect regulatory changes that emerged in modern humans 47 after the split from Neanderthals and Denisovans. We show that genes affecting vocalization and 48 facial features went through particularly extensive methylation changes. Specifically, we identify 49 silencing patterns in a network of genes ( SOX9 , ACAN , COL2A1 and NFIX ), and propose that they 50 might have played a role in the reshaping of human facial morphology, and in forming the 1:1 51 vocal tract configuration that is considered optimal for speech. Our results provide insights into 52 the molecular mechanisms that might underlie vocal and facial evolution, and suggest that they 53 arose after the split from Neanderthals and Denisovans.
Determinants Of The Demand For Real Money Balances And Its Stability In The Iraqi Economy For The Period ( 2003-2018)

: This paper dealt with estimating and analyzing the determinants of demand for real cash balances and their stability in Iraq for the period (2003-2018). A stable demand on real cash balances function give the green light for the monetary policy maker to use money supply as an effective toolto achieve its goals. The econometric approach was used to estimate and then test the stability of the demand on real cash balances function. The stationary test confirmed that some of our variables are stationary at level and others at the first difference. As our co-integration test revealed a long run relationships between the independent variables (exchange rate, Consumer price index, and Gross domestic product) and the real cash balances. According to that the ARDL model was used to estimate the short and the long run coefficients and the error correction parameter by using Eviews11. The results of the estimated model confirmed our hypothesis (The stability of the demand of real cash balances) as the results of CUSUM, and CUSUM SQ shows. This means the success of using money supply as an effective tool by the monetary policy maker. The ARDL results reflects the significant of the independent variables parameters on the short and the long run economically and statistically. The adjustment coefficient was -0.20 which confirm the stability of the model if departed from the equilibrium level and will return back in 5 quarters. The model shows high capability in tracking the historical data. This confirmed the forecasting merit of the model. Five different scenarios postulated to simulate the answer to the What