Unique Value Research Articles

Why Professional Branding: What difference will it make for me (as Gen Z)?

This article discusses professional branding that is rooted in marketing aimed at helping professionals differentiate themselves from others through personal branding to project their uniqueness and related values. It streamlines the process behind creating a robust profile that enhances simple elements of a resume by providing distinctive information to corporations or target markets. Furthermore, the article highlights the two broad theoretical underpinnings of personal branding: marketing-based and self-presentation behaviors. Marketing-based definitions frame the individual as a product to be marketed, while self-presentation-based definitions emphasize the formation of a person's public persona through strategic relationship management. Additionally, the article portrays personal branding as a defined set of individual characteristics, attributes, values, and beliefs crafted into a narrative and imagery that establishes a competitive advantage by influencing the perceptions of a targeted audience. It concludes that professional branding is an effective personal tool for individual differentiation and advancement in a highly globalized employment environment, particularly for Gen Z individuals with Arab cultural backgrounds in STEAM professional fields.

Association of prenatal and postnatal exposure to air pollution with clinically diagnosed attention deficit hyperactivity disorder: a systematic review

Attention deficit hyperactivity disorder (ADHD), a prevalent neurodevelopmental disorder in children, originates from a multifaceted interplay of genetic, neurological, and environmental factors. Recent studies have increasingly concentrated on environmental determinants, notably air pollution, and their impact on the risk of developing ADHD. Additionally, previous research has often conflated clinically diagnosed ADHD cases with instances of mere ADHD-like symptoms, a methodology that can introduce bias and obscure the true relationship between environmental factors and ADHD. To address this oversight, our systematic review meticulously investigates the relationship between both prenatal and postnatal exposures to particular air pollutants and strictly clinically diagnosed ADHD. Our comprehensive review encompassed 801 studies from PubMed, Cochrane Library, Web of Science, and Embase databases, out of which eight met our rigorous inclusion criteria. The Newcastle-Ottawa Scale (NOS) was utilized to gauge quality and bias. Our review found substantiated the connection between prenatal exposure to PM2.5 and NOx and a heightened risk of ADHD, while exposure to PM10 during the prenatal stage was not associated with ADHD. These findings hint at varied health impacts from different particulate matters and the prospect of gender-specific susceptibilities to such exposures. We also identified an association between postnatal exposure to PM2.5, PM10, and NO2 and an increased ADHD risk, underlining the potential neurodevelopmental harms from early exposure to these pollutants. These relationships, seemingly intricate and potentially dose-dependent, underscore the need for more detailed scrutiny. The unique value of our review is in its detailed exploration of the association between specific air pollution exposures and clinically diagnosed ADHD. Our findings offer much-needed clarity in this complex domain and emphasize the importance of future research to standardize exposure and outcome metrics, probe potential mechanisms, and reduce bias and heterogeneity.

Reprofiling synthetic glucocorticoid-induced leucine zipper fusion peptide as a novel and effective hair growth promoter.

Hair is a biofilament with unique multi-dimensional values. In human, in addition to physiologic impacts, hair loss and hair related disorders can affect characteristic features, emotions, and social behaviors. Despite significant advancement, there is a dire need to explore alternative novel therapies with higher efficacy, less side effects and lower cost to promote hair growth to treat hair deficiency. Glucocorticoid-induced leucine zipper (GILZ) is a protein rapidly induced by glucocorticoids. Studies from our group and many others have suggested that a synthetic form of GILZ, TAT-GILZ, a fusion peptide of trans-activator of transcription and GILZ, can function as a potent regulator of inflammatory responses, re-establishing and maintaining the homeostasis. In this study, we investigate whether TAT-GILZ could promote and contribute to hair growth. For our pre-clinical model, we used 9-12 week-old male BALB/c and nude (athymic, nu/J) mice. We applied TAT-GILZ and/or TAT (vehicle) intradermally to depilated/hairless mice. Direct observation, histological examination, and Immunofluorescence imaging were used to assess the effects and compare different treatments. In addition, we tested two current treatment for hair loss/growth, finasteride and minoxidil, for optimal evaluation of TAT-GILZ in a comparative fashion. Our results showed, for the first time, that synthetic TAT-GILZ peptide accelerated hair growth on depilated dorsal skin of BALB/c and induced hair on the skin of athymic mice where hair growth was not expected. In addition, TAT-GILZ was able to enhance hair follicle stem cells and re-established the homeostasis by increasing counter inflammatory signals including higher regulatory T cells and glucocorticoid receptors. In conclusion, our novel findings suggest that reprofiling synthetic TAT-GILZ peptide could promote hair growth by increasing hair follicle stem cells and re-establishing homeostasis.

Short Study on Ecological Pictures in Walden

Walden is a literary masterpiece written by American writer Henry David Thoreau (1817-1862), which records his living alone in Walden Pond, far away from money-obsessed society, embracing the simple life of nature with his heart, and demonstrating the harmonious ecological beauty of Walden Pond. In this novel, Thoreau vividly shows the harmonious and interdependent relationship between man and nature through the ecological pictures of the delicious evening and red squirrel in the Walden Pond, and emphasizes the unique spiritual value given by nature to human beings. This paper attempts to use literature research and graphic marking ways to appreciate the harmonious atmosphere of delicious night in Walden Pond and the lively state of red squirrels in winter from the Angle of plot and animal description. By combining theory with practice, the conclusion of this paper is: human beings should overcome the limitations of anthropocentrism, protect animals, respect nature, and establish a “community of love” with nature, the concept of harmonious coexistence between humans and nature, or they will be punished by nature. In-depth exploration and interpretation of Walden Pond is of great significance for enhancing people’s awareness of ecological crisis, promoting ecological governance, helping people rationally view the relationship between man and nature, and respecting and protecting nature.

The Influence of Chinese Reserved Social System on Interpersonal Communication

Human beings are social animals, and each individual has his or her unique background, attitude, personality, behavior and values. However, the interpersonal relationship has a significant influence on everyone's emotional life and work, even on organization, communication, operation, efficiency, and the relationship between individual and organization; Interpersonal communication will be interfered by various external forces or internal forces, such as specific workplace communication, specific time communication between relatives or psychological factors. This paper mainly focuses on the fundamental tone of Chinese classical Ci and Fu, which leads to the reasons for the social constraint of both parties in interpersonal communication. From the perspective of shadow aesthetics, it views and discusses the advantages and disadvantages of "reservation" between Chinese people

Research on Post-Reading Writing in the Teaching of Senior High School English Based on Core Literacy

In today’s education field, high school English teaching no longer involves just the imparting of language knowledge, but is also related to the cultivation and promotion of students’ core quality. Among them, as an important teaching activity, post-reading writing has shown its unique teaching value under the framework of core literacy. This paper aims to deeply explore the teaching of post-reading writing based on core literacy in senior high school. Through theoretical overview and application, the significance of core literacy in the background, and the sharing of teaching strategies, it aims to provide a new way of thinking and methods for English educators, so as to promote the comprehensive improvement of students’ language ability, cultural awareness, and thinking quality.

Autistic traits specific to communication ability are associated with performance on a Mooney face detection task.

Difficulties in global face processing have been associated with autism. However, autism is heterogenous, and it is not known which dimensions of autistic traits are implicated in face-processing difficulties. To address this gap in knowledge, we conducted two experiments to examine how identification of Mooney face stimuli (stylized, black-and-white images of faces without details) related to the six subscales of the Comprehensive Autistic Trait Inventory in young adults. In Experiment 1, regression analyses indicated that participants with poorer communication skills had lower task sensitivity when discriminating between face-present and face-absent images, whilst other autistic traits had no unique predictive value. Experiment 2 replicated these findings and additionally showed that autistic traits were linked to a reduced face inversion effect. Taken together, these results indicate autistic traits, especially communication difficulties, are associated with reduced configural processing of face stimuli. It follows that both reduced sensitivity for identifying upright faces amongst similar-looking distractors and reduced susceptibility to face inversion effects may be linked to relatively decreased reliance on configural processing of faces in autism. This study also reinforces the need to consider the different facets of autism independently.

Research on the Image Shaping of Members of the Communist Party of China in Red Star over China from the Perspective of the Other

The Red Star Over China written by Edgar Snow is the first book written by a foreign author to record the Red Army in the Soviet area. This book not only truthfully and objectively portrays the image of the communists during the Yan'an period through Snow's perspective as the other, but also serves as an effective medium for propagating the real Chinese Communist Party and its members from the other's viewpoint during the period of the Anti-Japanese War. From the perspective of others, Snow used the transformation of narrative perspectives and contrast to show the characteristics of CPC members in political ideology, military affairs, daily life, and other aspects, and creates a series of unique communists who are different from the old and other parties. Male CPC members are firm in faith and invincible in courage, female CPC members are as powerful as men, "red devils" have strong self-esteem and strong ability, and leaders are both wise and brave and empathic with their subordinates. Snow, because of his own unique characteristics and value judgment, creates an objective, real and vivid three-dimensional image from the perspective of the other.

INTELLIGENT HOME IOT DEVICES: AN EXPLORATION OF MACHINE LEARNING-BASED NETWORKED TRAFFIC INVESTIGATION

In the rapidly evolving landscape of smart homes powered by Internet of Things (IoT) devices, the twin specters of safety and privacy loom large, exacerbated by pervasive security vulnerabilities. Confronted with a heterogeneous array of devices each with unique Value of Service (QoS) requirements, devising a singular network management strategy proves untenable. To mitigate these risks, device categorization emerges as a promising avenue, wherein rogue or vulnerable devices are identified and network operations are automated based on device type or function. This novel approach not only fortifies IoT security but also streamlines network management, offering a multifaceted solution to the burgeoning challenges. Recognizing the burgeoning interest in leveraging machine learning for traffic analysis in IoT environments, this study delves deep into the potential and pitfalls of such techniques. Beginning with a comprehensive framework for categorizing IoT devices, the research meticulously examines methodologies and remedies across every stage of the workflow. Key focal points include the categorization of public datasets, nuanced analysis of IoT traffic data collection methodologies, and the exploration of feature extraction techniques. Through a rigorous evaluation of machine learning algorithms for IoT device classification, the study elucidates emerging trends and highlights promising avenues for future exploration. The culmination of this investigation manifests in meticulously crafted taxonomies, offering insights into prevailing patterns and informing future research trajectories. Moreover, the study identifies and advocates for uncharted territories within this burgeoning domain, propelling the discourse forward and catalyzing innovation in IoT security and management.

Metagenomic profiles of the antimicrobial resistance in traditional Chinese fermented meat products: Core resistome and co-occurrence patterns

Antimicrobial resistance (AMR) poses a significant challenge to global health, and the presence of antibiotic resistance genes (ARGs) in food poses a potential threat to public health. Traditional Chinese fermented meat products (FMPs) are highly favored because of their unique flavors and cultural value. However, microbial safety and the potential distribution and composition of AMR in these products remain unclear. In this study, a comprehensive analysis of bacterial composition and antibiotic-resistant populations in 216 samples of traditional fermented meat products from different regions of China was conducted using a metagenomic approach. Staphylococcus was the most abundant genus in the samples, accounting for an average abundance of 29.9 %, followed by Tetragenococcus (17.1 %), and Latilactobacillus (3.6 %). A core resistome of FMP samples was constructed for the first time using co-occurrence network analysis, which revealed the distribution and interrelationships of ARGs and bio/metal-resistant genes (BMRGs). Random forest analysis identified the lincosamide nucleotidyltransferase lnuA and the multidrug and toxic compound extrusion (MATE) transporter abeM as potential indicators for assessing the overall abundance of the core resistome. Additionally, Staphylococcus, Acinetobacter, and Pseudomonas were identified as hosts constituting the core resistome. Despite their low abundance, the latter two still serve as major reservoirs of antibiotic resistance genes. Notably, Lactococcus cremoris was identified as the key host for tetracycline resistance genes in the samples, highlighting the need for enhanced resistance monitoring in lactic acid bacteria. Based on our findings, in the microbial safety assessment of fermented meat products, beyond common foodborne pathogens, attention should be focused on detecting and controlling coagulase-negative Staphylococcus, Acinetobacter, and Pseudomonas, and addressing bacterial resistance. The quantitative detection of lnuA and abeM could provide a convenient and rapid method for assessing the overall abundance of the core resistome. Our findings have important implications for the control of bacterial resistance and prevention of pathogenic bacteria in fermented meat products.

Does a given abbreviated injury scale value in different body regions contribute to the same risks of in-hospital mortality and ICU admission in trauma patients?

Objective: We aimed to investigate the hypothesis that identical abbreviated injury scale (AIS) scores may lead to varying risks of in-hospital mortality and admission to the intensive care unit (ICU) depending on the specific body region affected. Methods: This study focused on hospitalized trauma patients with moderate to serious injuries (AIS=2, 3). The final sample was stratified based on the injured body regions. To determine the impact of these injuries on mortality and ICU admission, we conducted binary logistic regression after adjusting for confounding factors. Results: Overall, 16,040 trauma patients with moderate injury (AIS=2) and 1,338 trauma patients with serious injury (AIS=3) were included in this study. When comparing outcome of trauma patients in different body region, there was no significant difference in the odds of two main outcomes in various injury sites, except for extremities (P values>0.05). When the AIS=2 patients were controlled for confounding factors, the adjusted odds of mortality were significantly higher for head, face, and neck injuries, as well as spine/back, thoracic, and abdominal injuries, compared to extremity injuries (adjusted odds ratio (aOR)s=9.81,8.78, 8.11, and 3.96, respectively; P-values<0.05). Among those with AIS=3, the odds of mortality were significantly greater for abdominal (aOR=7.05, P-value=0.009) and head, face, and neck injuries (aOR=2.73, P-value=0.001) than for extremity injuries. Conclusion: Injuries with the same AIS (=2, 3) value almost indistinguishably confer the same mortality risk and ICU admission, except for extremities. The unique AIS value assigned to various body sites almost consistently indicate the same likelihood of negative outcomes.

Is there a future in future-oriented education?

This study aims to examine whether recent educational attempts to prepare students for the future can open up the future, using South Korea’s ‘high school credit system’ as an example. To provide differentiated instruction that recognizes differences and maximizes students’ potential, the Korean government recently launched a ‘high school credit system.’ The primary goal of this system is to assist students in identifying their strengths and interests, selecting courses for them to pursue, and following their plans independently. The system appears to respect each student’s unique personality and value the self-dominance of the liberating subject. Ironically, however, it expects students to map their lives according to ‘given’ or molar identitarian categories for self-formation, thereby representing already constructed life forms. It subjugates students’ potential by linking subjective formation to society’s dominant codes and deploying the forged self within existing social structures. To avoid limiting students’ potential, it is essential to refrain from defining ‘the self’ as a given and fixed construct and restricting education solely to courses that match its current characteristics. Education for a future should promote a flexible educational journey that accommodates changes in interests and passions as they evolve over time.

Evaluating opportunities for broad-scale remote sensing of total suspended solids on small rivers

Although broad-scale remote sensing applications are increasingly being integrated into water quality assessments, the feasibility of such applications on smaller rivers (<150 m. width) is not well understood, even though smaller rivers comprise most of the river network and can constitute significant sources of sediment and nutrients. We evaluated the application of a widely used Total Suspended Solid (TSS) algorithm within ten small (16–117 m wide) tributaries of the Lake Champlain Basin in the Northeastern US. Sentinel-2 images captured within 5 h of depth-integrated TSS samples were identified and corrected for atmospheric conditions to generate TSS estimates. Linkages between sample attributes and errors in the relationship between measured and predicted TSS values were explored to identify potential limits on the application of existing TSS algorithms to small rivers. From a dataset of 64 unique measured-predicted values on rivers whose channel width was greater than one pixel (i.e., 10 m), we found that there are settings along smaller rivers, and discrete flow and seasonal conditions, under which broad-scale remote sensing applications may be applicable. The remote sensing algorithm had the greatest success predicting TSS for rivers with high background levels of sediment (i.e., large concentrations during smaller discharges). Errors in estimated TSS were three times greater on rivers with low background levels (average error of 174%) of sediment than high levels (average error of 57%), likely due to differences in the proportion of fine-grained particle-sizes in transport. We also found that estimated TSS error was less outside the growing season, when biological activity was limited and plants were dormant, and when higher flows occurred such that backscatter from the channel bed is less likely to interfere with the reflective signal. This effect was most pronounced on rivers with low background sediment loads; errors in estimated TSS were more than six times greater during the growing season on rivers with low background loads (average error of 216%) than when plants were dormant (average error of 48%). We hypothesized that algorithm performance on smaller rivers, as measured by channel width, would be prone to larger errors due to the greater influence of contrasting reflectance signals from soils and vegetation along riverbanks. The degree of limitation from this adjacency effect was not evident in our dataset perhaps because of a correlation between river size and sediment characteristics unique to our study area. An alternative parameterization of a single-band empirical TSS model for small rivers in the region, based on inclusion of readily identifiable geologic and temporal characteristics, suggests improved predictive power for small rivers. Results highlight the feasibility of extending remote sensing applications throughout the river network in temperate regions of the Northeastern U.S. Certain geologic settings, specifically those that transport finer-grained loads, are more likely to have accurate predictions, especially during the colder months, when in situ monitoring is particularly challenging, yet highly important because a significant portion of runoff events in the Northeastern U.S. occur in this time.

Spatial Distribution Characteristics and Influencing Factors of Geographical Indication Agricultural Products in Shaanxi Province

Geographical indication agricultural products are of great significance to promote the high-quality development of rural revitalization due to their unique quality and brand value. Based on the geographical concentration index, the nearest neighbor index and the kernel density estimation method, this paper empirically studies the spatial distribution characteristics and influencing factors of 117 geographical indication agricultural products in Shaanxi Province. The results show that the spatial distribution of geographical indications in Shaanxi is extremely uneven, showing the characteristics of ' dense in the south and sparse in the north, regional agglomeration '. From the perspective of density distribution characteristics, the overall spatial distribution of geographical indications in Shaanxi shows a distribution pattern of ' three high and three times ', and the three high-density areas show a agglomeration distribution pattern of ' pin-shaped '. The difference between the north and the south is obvious, and the overall distribution pattern is ' cold in the north and hot in the south '. The spatial distribution pattern of geographical indications in Shaanxi is affected by many factors. Natural factors are the basis, social and economic factors strengthen the spatial distribution pattern of geographical indications, and government-led and policy factors play a regulatory and guiding role. It is suggested to optimize the spatial distribution pattern of geographical indications in Shaanxi, rely on local social resources, give full play to the leading role of the government, and actively promote the industrialization development of geographical indication products.

A Humble Scholar or a Minister in Plain Robes: A Glimpse into Du Fu's Construction of Self-Image in His Realist Poetry

Du Fu stands celebrated as the preeminent realist poet in the annals of ancient Chinese literature, noted for his profound allegiance to the emperor and his deep empathy for the populace. His poetry, often echoing the insights of a high-ranking official or minister, assumes the form of grand odes and admonitory chapters, reflecting a distinctive self-image. This paper aims to analyze Du Fu's construction of self-image through a textual examination of his works, endeavoring to illuminate the unique aesthetic values embedded in his poetry.

Alert during what? Beyond the “Big O” to a culturally-cognizant, process view of entrepreneurial alertness

AbstractEntrepreneurial alertness is a psychological aptitude generally associated with aspects of nascent venturing, centered on individuals’ environmental observations, the association of resources, and idea evaluation. A decade following the Tang et al. (2012) consensus construct and scale, critiques remain questioning its utility and unique value to the major conversations in entrepreneurship. Proponents put great emphasis on entrepreneurial alertness’s proven association with opportunity recognition and entrepreneurial actions. Yet, critics suggest it might be an unnecessary step offering little more than a positive association with opportunity recognition in a highly generalized and static way. The purpose of this paper is to address this tension. We do so through a ‘steel man’ approach to these valid concerns. Further, we question the logic of limiting a cognitive construct to a singular event: ‘opportunity recognition’ for a new venture (which we term here, the “Big O”). Drawing on a comprehensive framework inclusive of the full entrepreneurship phenomenon, and integrating insights from cross-cultural psychology, we put forth the case for an ongoing culturally contextualized process perspective towards venturing where individuals are alert to and pursue opportunities (and cope with threats) continuously. This paper provides a new framework for delineating a theoretically grounded “what” and “when” of entrepreneurial alertness.

A Multi-Weapon Detection Using Deep Learning

The escalating usage of light weapons in criminal and terrorist activities has necessitated the development of advanced weapon detection systems. This study centers on the application of the high-speed deep learning detection model, You Only Look Once version 7 (YOLOv7), to address the need for efficient and swift threat identification. The proposed system, trained on a self-curated dataset rich in images of various dangerous light weapons, is designed to recognize and distinguish multiple weapons simultaneously. The unique value of YOLOv7 in object and specifically weapon detection lies in its outstanding speed and accuracy, as demonstrated by certain weapon categories achieving a mean average precision (mAP) of 97%. The system’s performance can potentially be further enhanced by augmenting the image dataset for each weapon category. This study, therefore, not only validates the critical importance of YOLOv7 in advancing detection methodologies but also presents a practical solution for bolstering public safety.

Simplified expressions of uncertainty for single number quantities in ISO 3382-3 (2022).

The ISO 3382-3 (2022) standard defines single number quantities (SNQs) characterizing the spatial decay of speech (D2S, LpAS4m, rC) and of its intelligibility (rD). The standard assesses the accuracy of the measurement using a unique uncertainty value for each SNQ, relying on a round-robin test performed in a single office. To make this assessment more accurate, analytical expressions have been established by applying the law of propagation of uncertainty. These expressions, although precise, are too complex to be included in the standard. This work consists of their simplification, relying on 95 measurements conducted in 36 companies in France and Germany. First, the terms associated with distance measurement uncertainties were found to be negligible. Second, the estimation of the uncertainties of A-weighted speech levels and Speech Transmission Index, based on the measurements made at the workstations constituting the 95 paths, enabled further simplifications. Finally, simplified expressions turn out to be as accurate as the original expressions, and the estimated uncertainties are comparable to those reported by Yadav et al. (2019). If a unique value of uncertainty is to be retained for each SNQ, this study suggests 0.6 dB for D2S and LpAS4m, 7% for rC, and 10% for rD.

Research on the Integration of Jianghai Culture into College English Teaching Based on Project-based Learning

This paper explores the importance, existing problems, and optimization strategies of integrating Jianghai culture into college English teaching. It analyzes the uniqueness and diversity of Jianghai culture as well as its unique value under the globalization background. It points out the lack of Jianghai culture content in current college English textbooks, as well as the difficulties in implementing project-based learning in college English teaching and the low acceptance of students. To address these issues, corresponding optimization strategies are proposed, including enriching the content of Jianghai culture in college English textbooks, improving the application of project-based learning in college English teaching, and increasing students' interest and understanding of Jianghai culture. Through specific cases and strategic suggestions, this paper aims to provide useful references for integrating Jianghai culture into college English teaching, promote students' in-depth understanding and cognition of Chinese culture, and improve their cultural literacy and cross-cultural communication skills.

Anatomical Variations of the Medial Plantar Artery Flap: A Cadaveric Study With Clinical Applications

The medial plantar artery flap (MPAF) presents both unique value as well as significant challenges. As the plantar foot has specific anatomy, the use of the MPAF to recreate this highly specialized area may provide improvements in durability and rates of limb salvage. The purpose of this study is to establish the anatomic course of the branching patterns of the medial plantar artery (MPA) and provide a foundation for MPA flap nomenclature as it is related to design and elevation. Thirty-seven fresh frozen cadaver feet were used for dissection: 20 right and 17 left sided limbs. Anatomic measurements recorded included: branching pattern of the MPA, bifurcation distance of the superficial branch (SB) and deep branch (DB) from the origin of the MPA, distance from the MPA origin to the anterior colliculus of the medial malleolus, and the distance from the SB and the DB to the navicular tuberosity. The MPA was found to bifurcate into SB and DB in 30 (81%) specimens; 6 (16%) specimens had only a SB, whereas 1 (3%) specimen had only a DB, which had not been previously described. The distance from the anterior colliculus to the MPA was 3.0 cm, MPA to the distal bifurcation was 2.9 cm, and navicular tuberosity to the SB and DB was 2.2 cm and 1.3 cm, respectively. Minimizing the complexity of the dissection with the use of more reliable landmarks and a deeper understanding of the anatomy may reduce complications and allow for more reproducible outcomes when utilizing the MPAF.