Individual Faces Research Articles

Crystal face-dependent pyrite oxidation: An electrochemical study

The oxidation of pyrite has attracted significant attention due to its predominant contribution to the serious environmental issue of acid mine drainage (AMD). However, relatively few studies have been conducted investigating the oxidation characteristics of individual pyrite crystal faces. The oxidation rates, under acidic, neutral and alkaline conditions, of three typical pyrite surfaces have been examined with their contrasting behaviors explored in terms of surface structure. Electrochemical and surface analytical measurements were conducted across the pH range 1 to 11, showing surface formation of Fe(OH)3, S0 and SO42−. Tafel plots, electrochemical impedance spectroscopy and surface analyses demonstrate that the oxidation rate follows the order of {210} > {111} > {100}. This rate trend is directly related to the breakage of bonds on surface formation with formation of the {210} surfaces requiring the greatest bond breakage; hence this surface is the most unstable, and the {100} surface owns the least bond breakage and the greatest stability. The oxidation rate of all pyrite surfaces under strongly acidic conditions (pH = 1) is greater than for strongly alkaline conditions (pH = 11), with the slowest rates being observed under neutral condition, since S0, iron oxyhydroxide (Fe-OOH) and Fe(OH)3 formed under neutral or alkaline conditions cover the pyrite surface, thus inhibiting further oxidation. However, a more aggressive oxidant of hydroxo–Fe(III) complex is present under alkaline conditions, resulting in greater oxidation rate compared to that under neutral conditions that determined by the oxidation of Fe2+ by O2. DFT calculations suggest that H2O has the greatest affinity for the {210} surface as compared to the {100} and {111} surfaces but does not dissociate. However, after the dissociative adsorption of O2, H2O can dissociate on all the pyrite surfaces, enhancing further oxidation. Under acidic conditions this process is likely to be rate determining. Under alkaline and neutral conditions the oxidation process is dependent on the transfer of hydroxyls to the surface S group and surface cycling of Fe(II) − Fe(III).

Tetramine Aspect Ratio and Flexibility Determine Framework Symmetry for Zn8 L6 Self-Assembled Structures.

We derive design principles for the assembly of rectangular tetramines into Zn8 L6 pseudo-cubic coordination cages. Because of the rectangular, as opposed to square, geometry of the ligand panels, and the possibility of either Δ or Λ handedness of each metal center at the eight corners of the pseudo-cube, many different cage diastereomers are possible. Each of the six tetra-aniline subcomponents investigated in this work assembled with zinc(II) and 2-formylpyridine in acetonitrile into a single Zn8 L6 pseudo-cube diastereomer, however. Each product corresponded to one of four diastereomeric configurations, with T, Th , S6 or D3 symmetry. The preferred diastereomer for a given tetra-aniline subcomponent was shown to be dependent on its aspect ratio and conformational flexibility. Analysis of computationally modeled individual faces or whole pseudo-cubes provided insight as to why the observed diastereomers were favored.

Tetramine Aspect Ratio and Flexibility Determine Framework Symmetry for Zn8L6Self‐Assembled Structures

AbstractWe derive design principles for the assembly of rectangular tetramines into Zn8L6pseudo‐cubic coordination cages. Because of the rectangular, as opposed to square, geometry of the ligand panels, and the possibility of either Δ or Λ handedness of each metal center at the eight corners of the pseudo‐cube, many different cage diastereomers are possible. Each of the six tetra‐aniline subcomponents investigated in this work assembled with zinc(II) and 2‐formylpyridine in acetonitrile into a single Zn8L6pseudo‐cube diastereomer, however. Each product corresponded to one of four diastereomeric configurations, withT,Th,S6orD3symmetry. The preferred diastereomer for a given tetra‐aniline subcomponent was shown to be dependent on its aspect ratio and conformational flexibility. Analysis of computationally modeled individual faces or whole pseudo‐cubes provided insight as to why the observed diastereomers were favored.

The faceless court? The role of individual CJEU members

The CJEU is perceived to be a rather faceless court due to the principle of collegiality that is supposed to suppress individuality in its inner workings. This paper argues that this is not necessarily true in all cases and discusses instances wherein individual faces of the CJEU's members become discernible, in particular in their roles as President and Vice-President, respectively, the judge-rapporteur, Advocates General, single judges at the General Court, during public oral hearings, as litigants themselves, and of course in their academic publications. It also shows that judicial visibility can, in itself, certainly be construed to support the legitimacy of a court, but that it can, at the same time, also undermine its functioning, especially when judges are, as appointees, dependent on the will of their home Member State and others in the Council. Overall, it will be demonstrated that there are various situations in which individual CJEU members may emerge from an otherwise anonymous bench and play important judicial roles as individuals, thus rebutting the long-standing presumption that the CJEU is a faceless court.

FACTORS OF TRANSFORMATION OF THE SELF-CONCEPT OF PERSONALITY

The self-concept of an individual is constantly in interaction with the environment, which often has a negative impact on it. A positive self-concept is an important condition for the full functioning of an individual. A positive self-concept manifests itself through a person's positive attitude towards himself/herself, adequate self-esteem, a sense of his/her own integrity, and the desire to realize his/her potential. A person with a formed positive self-concept is characterized by stable psychological health and, in general, has a high level of psychological well-being. The self-concept of an individual faces various life challenges every day, functions in traumatic situations, is influenced by the social environment, and therefore can undergo transformations. Often, a person is not aware of these transformations, but notices that his/her life has changed for the worse - apathy, feelings of insecurity, emotional exhaustion, decreased self-esteem, etc. have appeared. These negative formations appear due to the transformation of the self-concept, therefore, the study of the factors and features of this process is necessary for the development of measures to overcome the consequences, restore harmony, and master effective strategies of behavior in specific situations. The self-concept of an individual is affected by two groups of factors - external and internal. They cause constructive and destructive transformations that lead to the formation of a positive or negative self-concept. Empirically, transformation factors were identified for two components of self-concept: emotional-evaluative and behavioral. The constructive transformation of the emotional-evaluative component of the self-concept of the individual takes place under the influence of emotional stability, dominance, courage, straightforwardness, trustworthiness, calmness and relaxation, the desire for creativity, flexibility in communication, tolerance for uncertainty, values and autonomy, constructive sexuality, constructive aggression, constructive external delimitation of the Self, constructive anxiety, satisfaction with work experience in the specialty. The constructive transformation of the behavioral component of the self-concept of the individual takes place under the influence of courage, expressiveness, trustworthiness, dominance and calmness, constructive narcissism, constructive aggression, constructive external demarcation of the self. Destructive transformation of the emotional-evaluative component of the self-concept of a person occurs under the influence of emotional stability, courage, practicality of directness, anxiety, radicalism, intolerance of uncertainty, disorientation in time, contact and autonomy, deficit aggression, destructive anxiety, constructive narcissism, deficit narcissism, constructive internal demarcation of self. The destructive transformation of the behavioral component of the self-concept of the individual occurs under the influence of radicalism, sociability, courage, emotional stability, contact, values, destructive narcissism, constructive external demarcation of the self, deficient external demarcation of the self.

FMRI evidence that hyper-caricatured faces activate object-selective cortex.

Many brain imaging studies have looked at the cortical responses to object categories and faces. A popular way to manipulate face stimuli is by using a "face space," a high dimensional representation of individual face images, with the average face located at the origin. However, how the brain responds to faces that deviate substantially from average has not been much explored. Increasing the distance from the average (leading to increased caricaturing) could increase neural responses in face-selective regions, an idea supported by results from non-human primates. Here, we used a face space based on principal component analysis (PCA) to generate faces ranging from average to heavily caricatured. Using functional magnetic resonance imaging (fMRI), we first independently defined face-, object- and scene-selective areas with a localiser scan and then measured responses to parametrically caricatured faces. We also included conditions in which the images of faces were inverted. Interestingly in the right fusiform face area (FFA), we found that the patterns of fMRI response were more consistent as caricaturing increased. However, we found no consistent effect of either caricature level or facial inversion on the average fMRI response in the FFA or face-selective regions more broadly. In contrast, object-selective regions showed an increase in both the consistency of response pattern and the average fMRI response with increasing caricature level. This shows that caricatured faces recruit processing from regions typically defined as object-selective, possibly through enhancing low-level properties that are characteristic of objects.

Authentication System for Exam Halls Using Face Biometrics by Artificial Intelligence

Authentication has consistently been the biggest difficulty during exams. Verifying candidates' test eligibility is a difficult process that takes time after typical candidate screening. The project's goal is to combat this by preventing impersonation by exploiting the candidate's facial biometric traits, which are recognized by the DCNN algorithm. The Exam Hall Authentication System Using Face Biometric is a cutting-edge solution designed to enhance the security and integrity of examination halls by utilizing facial recognition technology. Traditional methods of verifying the identity of individuals in exam halls, such as ID card checks or manual supervision, can be prone to human errors and fraudulent activities. This system aims to overcome these challenges by leveraging the unique characteristics of an individual's face for authentication purposes. The enrolment stage and the verification of identities phase are the system's two primary parts. Each exam participant's face characteristics are photographed and safely saved in a database throughout the enrolment step. High-resolution cameras are used in this procedure to take several pictures of the participant's face from different perspectives. The positioning of facial characteristics and particular contours of the face are then extracted from these photos via processing and analysis. In the authentication phase, when an individual enters the exam hall, their face is captured by the cameras installed at strategic locations. The captured image is compared with the enrolled images stored in the database. Advanced algorithms are employed to perform a comprehensive analysis of the facial features, ensuring accurate identification and authentication of the individual. If a match is found, the system grants access to the exam hall; otherwise, it denies entry and alerts the invigilators about the potential unauthorized presence. The Exam Hall Authentication System offers several advantages over traditional authentication methods. Firstly, it significantly reduces the risk of impersonation and cheating, as the system is capable of detecting attempts to use fake identities or masks. Secondly, it improves the efficiency and speed of the authentication process, eliminating the need for manual verification and reducing waiting times for exam participants. Thirdly, the system provides a reliable and audit able record of attendance, which can be crucial for ensuring the integrity of the examination process. In conclusion, the Exam Hall Authentication System Using Face Biometric is a robust and secure solution that enhances the security and efficiency of examination halls. By leveraging facial recognition technology, it provides reliable authentication, reduces the risk of fraud, and ensures a fair and transparent examination environment

Efficacy of personal protective equipment to prevent environmental infection of COVID-19 among healthcare workers: a systematic review

Healthcare workers (HCWs) employed personal protective equipment (PPE) during the COVID-19 pandemic, crucial to protecting themselves from infection. To highlight the efficacy of PPE in preventing environmental infection among HCWs, a systematic review was conducted in line with PRISMA guidance. A search of the PubMed and Web of Science databases was conducted from January 2019 to April 2021 using pre-defined search terms. Articles were screened by three researchers. The approved papers were read in full and included in this review if relevance was mutually agreed upon. Data were extracted by study design and types of PPEs. 47 of 108 identified studies met the inclusion criteria, with seven reviews and meta-analyses, seven cohort, nine case-control, fifteen cross-sectional studies, four before and after, four case series, and one modeling studies. Wearing PPE offered COVID-19 protection in HCWs but required adequate training. Wearing surgical masks provided improved protection over cloth masks, while the benefit of powered air-purifying respirators is less clear, as are individual gowns, gloves, and/or face shields. Wearing PPE, especially facial masks, is necessary among HCWs, while training in proper use of PPE is also important to prevent COVID-19 infection.

ADDITIONAL RISKS ARISING IN THE PROCESS OF PROVIDING MEDICAL AID TO PATIENTS WITH COVID-19.

The aim: In order to assess the degree of transforming danger, for face masks, used in the providing respiratory support process to specialized department patients with varying degrees of the COVID-19 course severity, we conducted a series of bacteriological studies into an additional opportunistic bacteria reservoir. With the purpose of assessment of the face respiratory masks inner surface bacterial contamination intensity during their use to provide respiratory support to patients with COVID-19. Materials and methods: A bacteriological study of the inner surface of 60 disposable individual face respiratory masks was carried out at different times of providing respiratory support to patients with COVID-19. Results: It is shown that during use, the inner surface of the respiratory mask is colonized by staphylococci and gram-negative opportunistic bacteria. With increasing time of the mask using, the density of colonization of its inner surface increases. Conclusions: In the process of long-term non-invasive lung ventilation and oxygen therapy for patients with COVID-19, the inner surface of face respiratory masks is colonized with opportunistic bacteria, which creates the risk of contamination by the latter of the pathologically changed lung parenchyma and the addition of secondary bacterial infection.

Otizm Spektrum Bozukluğunda El 2D:4D Parmak Oranı ve Yüz Simetrisi

There are many theories about the etiology of autism, and the most striking is the theory of testosterone exposure in the womb. In this study, it was investigated whether the second and fourth finger and face measurements were symmetrical in boys with autism spectrum disorder (ASD) and children with normal development. For the study, 30 boys diagnosed with ASD were compared with 30 normally developing boys. Photographs of each individual's face were taken digitally and measurements were made at eight different reference lengths on the face halves. Half-face measurements in children diagnosed with autism were compared among themselves and with the control group with normal healthy development. In addition, the symmetry level was analyzed by photographing the right and left hands and measuring the lengths of the second (2D) and fourth (4D) fingers for symmetry detection. As a result of the face and finger analysis, it was determined that the faces of the individuals with ASD were more symmetrical than the individuals with normal development, and the 2D-4B finger lengths were closer to each other than the children with normal development. In addition, it was determined that as the severity of autism increased, the tendency for symmetry increased in both the face and fingers. The tendency to symmetry detected in the face and hand is compatible with the high testosterone level exposed in the womb of individuals with autism and, accordingly, the excessive male brain theory.

An Exploration of Relationships Between Perceptual and Cognitive Racial Biases

People are often biased in how they evaluate characteristics of individuals of different races. Some of these biases are perceptual: for example, the “race-lightness effect” demonstrates that for grayscale photos at equivalent luminance values, the faces of black individuals are frequently judged to be darker than the faces of white individuals. Other biases are cognitive: the Implicit Association Test (IAT) and direct assessments of racial attitudes demonstrate that people hold both negative implicit and explicit racial prejudices. Despite extensive literature on both topics, no study has explored the relationship between perceptual and cognitive racial biases in the same individuals in a within-subjects design. In this experiment, these relationships were explored in 28 individuals using three tasks: in one task, deemed the Race-Lightness Task (RLT), participants completed a 2-interval forced-choice procedure where they were shown pairs of faces (some with European features, some with African features) and asked to judge whether the second face was lighter or darker than the first. In a second task, individuals completed the IAT to measure their associations between race and positive/negative adjectives. Lastly, subjects answered a series of questions to measure explicit attitudes about different racial groups. While results from the RLT and IAT were uncorrelated, a significant correlation was shown between the IAT and a survey question about systemic racism. These results provide preliminary support for the independence of perception and cognition for racially based tasks, and provide insight into the pervasive nature of implicit and explicit racial prejudice.

Research on the Differences Between Chinese and Western Dinner Seating Culture from the Perspective of Face Theory: Based on The Dream of Red Mansions and Downton Abbey

Seating arrangements in a banquet are quite complicated because a multitude of factors need to be considered. One of the most paramount is “face”. However, individuals from different cultural backgrounds possess different understandings of face. This paper analyzes the differences between Chinese and Western seating etiquette by comparing Chinese and Western banquet seating arrangements, with The Dream of Red Mansions and Downton Abbey as the text research material. The paper also explores the underlying reasons from the perspective of positive face vs. negative face and collective face vs. individual face, combining Brown and Levinson’s Face Threatening Act (FTA) and Face Saving Theory (FST) in politeness principle. According to the analysis, the Chinese regard “respect for elders” and “distance between superiors and inferiors” as seating standards, adopting positive politeness strategy to maintain collective face, while the westerner emphasize “lady first” and “equality and mutual benefits”, adopting negative politeness strategy to maintain individual face. Understanding the differences between Chinese and Western etiquette is conducive to the exchange and integration of different nationalities and the elimination of barriers in cross-cultural communication.

Three-Dimensional Face Recognition Using Solid Harmonic Wavelet Scattering and Homotopy Dictionary Learning.

Data representation has been one of the core topics in 3D graphics and pattern recognition in high-dimensional data. Although the high-resolution geometrical information of a physical object can be well preserved in the form of metrical data, e.g., point clouds/triangular meshes, from a regular data (e.g., image/audio) processing perspective, they also bring excessive noise in the course of feature abstraction and regression. For 3D face recognition, preceding attempts focus on treating the scan samples as signals laying on an underlying discrete surface (mesh) or morphable (statistic) models and by embedding auxiliary information, e.g., texture onto the regularized local planar structure to obtain a superior expressive performance to registration-based methods, but environmental variations such as posture/illumination will dissatisfy the integrity or uniform sampling condition, which holistic models generally rely on. In this paper, a geometric deep learning framework for face recognition is proposed, which merely requires the consumption of raw spatial coordinates. The non-uniformity and non-grid geometric transformations in the course of point cloud face scanning are mitigated by modeling each identity as a stochastic process. Individual face scans are considered realizations, yielding underlying inherent distributions under the appropriate assumption of ergodicity. To accomplish 3D facial recognition, we propose a windowed solid harmonic scattering transform on point cloud face scans to extract the invariant coefficients so that unrelated variations can be encoded into certain components of the scattering domain. With these constructions, a sparse learning network as the semi-supervised classification backbone network can work on reducing intraclass variability. Our framework obtained superior performance to current competing methods; without excluding any fragmentary or severely deformed samples, the rank-1 recognition rate (RR1) achieved was 99.84% on the Face Recognition Grand Challenge (FRGC) v2.0 dataset and 99.90% on the Bosphorus dataset.

Factors affecting face mask-wearing behaviors to prevent COVID-19 among Thai people: A binary logistic regression model

Face mask wearing is a standard preventive measure, in addition to handwashing and physical distancing. Individuals may find that wearing a face mask protects their physical health and prevents viral transmission. However, none of the studies in Thailand identified factors associated with face mask-wearing behaviors among Thai people. Therefore, this study aims to determine factors affecting face mask-wearing behaviors to prevent COVID-19. This research is analytical survey research. The data used in this study were under the project title "The assessment of psychosocial and behavioral response and compliance to restriction measures to prevent and control COVID-19: A series of the rapid survey." A total of 6,521 people participated in an online survey by multi-stage sampling. Bivariate logistic regression analysis was used to examine the factors associated with face mask-wearing behaviors. After adjusting for independent variables (i.e., gender, age, education, career, smoking, and comorbidity disease), the bivariate logistic regression analysis revealed that gender, age, and career were statistically significant to the face mask-wearing behaviors (p < 0.05). Level of education, smoking, and comorbidity disease were not statistically significant with face mask-wearing behaviors among Thai people. Further study should explore broader on individual face mask perceptions and wearing in the continuing of COVID-19 across gender, age, and careers to better understand their health behaviors and to inform further policy. In addition, the development of an intervention to promote face mask wearing should target men who age below 30 yrs. and did not work in government services careers as this group of the population was likely not to wear a face mask outside the home.

Stereotypes shape response competition when forming impressions.

Dynamic models of impression formation posit that bottom-up factors (e.g., a target's facial features) and top-down factors (e.g., perceiver knowledge of stereotypes) continuously interact over time until a stable categorization or impression emerges. Most previous work on the dynamic resolution of judgments over time has focused on either categorization (e.g., "is this person male/female?") or specific trait impressions (e.g., "is this person trustworthy?"). In two mousetracking studies-exploratory (N = 226) and confirmatory (N = 300)-we test a domain-general effect of cultural stereotypes shaping the process underlying impressions of targets. We find that the trajectories of participants' mouse movements gravitate toward impressions congruent with their stereotype knowledge. For example, to the extent that a participant reports knowledge of a "Black men are less [trait]" stereotype, their mouse trajectory initially gravitates toward categorizing individual Black male faces as "less [trait]," regardless of their final judgment of the target.

Type and amount of social experience influences individual face learning in paper wasps

Type and amount of social experience influences individual face learning in paper wasps

Entrepreneurship, Creativity and Innovation

In March 2021, the Saudi Arabian Council of Ministers issued a decision to form a committee called the “Higher Committee for Research, Development and Innovation,” a committee linked to the Council of Economic and Development Affairs, chaired by the Chairman of the Council of Economic and Development Affairs, and concerned with the development of the research, development and innovation sector in the Kingdom. In order to talk about the dimensions of this wonderful step, let us first try to answer the following questions... Is there a difference between Creativity and Innovation...? How do they enable Entrepreneurship...? What are the factors of creativity in the individual.. Are they mental genetic factors.. or are they factors that an individual acquires through learning...? The methodology included surveys that have been conducted on more than 300 individuals, males and females, between the ages of 18 till 60. And the answer is.. “Creativity” is the creation of a new idea, while “Innovation” is the development of an already existing idea in a new, successful way. They are two sides of the same coin, as the “creative idea” needs to be developed and transformed into an “innovation” in order to achieve either strategic achievements at the level of countries and institutions to enhance organizational intelligence, or achievements at the level of individuals. For example, the beginning of smart phones was just a creative idea from IBM in 1994, but the actual successful innovation for the manufacture, development and marketing of these phones was through Apple later. Nor does creativity have to be hereditary. There are three basic factors for creativity: The first factor is “the presence of a challenge or an obstacle” that the individual faces and seeks thinking to find solutions to overcome, even if thinking requires a long time. The second factor is the “environment surrounding” of the individual, which includes science, training, experience gained, the ability to use techniques, as well as the ability to assess whether he idea is feasible or otherwise. To achieve this factor, the individual must be aware of own skills, strengths, hobbies, and aspects in which one can be creative, and the individual must also be self-confident and courageous enough to suggest those new ideas. The third factor is “Experience and the Ability to Accept Risk and Lack of Initial Success,” and then learn from mistakes and try again tirelessly. There are some tools and techniques that help the entrepreneurship/individual to reach creative and innovative ideas, such as: Mind Maps tool, through which the available information is drawn by writing a short word for each piece of information and arranging all other relevant information through clear lines, which helps in logical thinking and correct vision. There is also a tool called "Flow Charts", which are graphics that show the sequence of data and expected results according to an ordered scenario of events and workflow steps, giving clarity to the ideas, their sequence, and what is expected of them. There are also other great tools such as the Six Hats tool, a useful tool to be applied by a group of people for effective planning and detailed logical thinking, and the Snowball tool. And all of them are tools that greatly help in organizing and arranging mental thoughts, and making the right decisions. It is also easy to learn, apply and use all those tools and techniques to reach creative and innovative solutions. The detailed figures and results of the conducted surveys are available upon request, with charts showing the %s based on gender, age groups, and job categories.

Mathlete: an adaptive assistive technology tool for children with dyscalculia

Purpose The use of technology in teaching and learning process for children is gaining importance. Children with specific learning disabilities have shown positive results with assistive technology tools. Dyscalculia is a specific learning disability in which an individual faces problem in mathematical skills. Around 3–7% of the world population is affected with it. The aim of the current research study is to determine the effectiveness of an assistive technology tool, Mathlete on children with dyscalculia’s early numeracy skills. Such assistive technology tools can serve as a boon for these children. Method A total of 40 children with dyscalculia (Mage = 6.8 years) were a part of the study. The group of 40 children were randomly divided into two groups: experiment group using mathlete for improving their learning (30 children) and a control group using only traditional teaching for learning (10 children). The children were screened for dyscalculia using the screening module of mathlete. Results The two groups showed no significant difference in terms of their socio-economic status, gender and parents education level. Children in the experiment group showed improvement from pre-test to post-test after using mathlete. Also, there was significant difference in learning of both the groups, children in experiment group could understand the concepts better than the ones in control group. Conclusion Mathlete helped improve the mathematical learning of children with dyscalculia from pre-test to post-test.

EEG-based emotion recognition using hybrid CNN and LSTM classification.

Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as physical, behavioral, and mental changes. In the latest days, physiological activity has been used to study emotional reactions. This study describes the electroencephalography (EEG) signals, the brain wave pattern, and emotion analysis all of these are interrelated and based on the consequences of human behavior and Post-Traumatic Stress Disorder (PTSD). Post-traumatic stress disorder effects for long-term illness are associated with considerable suffering, impairment, and social/emotional impairment. PTSD is connected to subcortical responses to injury memories, thoughts, and emotions and alterations in brain circuitry. Predominantly EEG signals are the way of examining the electrical potential of the human feelings cum expression for every changing phenomenon that the individual faces. When going through literature there are some lacunae while analyzing emotions. There exist some reliability issues and also masking of real emotional behavior by the victims. Keeping this research gap and hindrance faced by the previous researchers the present study aims to fulfill the requirements, the efforts can be made to overcome this problem, and the proposed automated CNN-LSTM with ResNet-152 algorithm. Compared with the existing techniques, the proposed techniques achieved a higher level of accuracy of 98% by applying the hybrid deep learning algorithm.

Creating the Conditions for Intergenerational Justice: Social Capital and Compliance

Creating the Conditions for Intergenerational Justice: Social Capital and Compliance