Personal Thermal Management by Radiative Cooling and Heating

Maintaining thermal comfort within the human body is crucial for optimal health and overall well-being.By merely broadening the setpoint of indoor temperatures,we could significantly slash energy usage in building heating,ventilation,and air-conditioning systems.In recent years,there has been a surge in advancements in personal thermal management(PTM),aiming to regulate heat and moisture transfer within our immediate surroundings,clothing,and skin.The advent of PTM is driven by the rapid development in nano/micro-materials and energy science and engineering.An emerging research area in PTM is personal radiative thermal management(PRTM),which demonstrates immense potential with its high radiative heat transfer efficiency and ease of regulation.However,it is less taken into account in traditional textiles,and there currently lies a gap in our knowledge and understanding of PRTM.In this review,we aim to present a thorough analysis of advanced textile materials and technologies for PRTM.Specifically,we will introduce and discuss the underlying radiation heat transfer mechanisms,fabrication methods of textiles,and various indoor/outdoor applications in light of their different regulation functionalities,including radiative cooling,radiative heating,and dual-mode thermoregulation.Furthermore,we will shine a light on the current hurdles,propose potential strategies,and delve into future technology trends for PRTM with an emphasis on functionalities and applications.

Revolutionizing diabetic retinopathy screening and management:The role of artificial intelligence and machine learning

Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and management.This editorial explores the transformative potential of artificial intelligence(AI)and machine learning(ML)in revolutionizing DR care.AI and ML technologies have demonstrated remarkable advancements in enhancing the accuracy,efficiency,and accessibility of DR screening,helping to overcome barriers to early detection.These technologies leverage vast datasets to identify patterns and predict disease progression with unprecedented precision,enabling clinicians to make more informed decisions.Furthermore,AI-driven solutions hold promise in personalizing management strategies for DR,incorpo-rating predictive analytics to tailor interventions and optimize treatment path-ways.By automating routine tasks,AI can reduce the burden on healthcare providers,allowing for a more focused allocation of resources towards complex patient care.This review aims to evaluate the current advancements and applic-ations of AI and ML in DR screening,and to discuss the potential of these techno-logies in developing personalized management strategies,ultimately aiming to improve patient outcomes and reduce the global burden of DR.The integration of AI and ML in DR care represents a paradigm shift,offering a glimpse into the future of ophthalmic healthcare.

Asymmetric Janus Fibers with Bistable Thermochromic and Efficient Solar-Thermal Properties for Personal Thermal Management

The compelling combination of thermochromism and multifunctional wearable heaters in smart textiles has received increas-ing attention given the significant synergistic effect of green solar heat supply and energy storage.However,due to color incompatibility and poor knittability,developing fabrics with bistable thermochromic properties to achieve efficient solar-thermal management remains a challenging endeavor.Here,by combining bistable thermochromic,photochromic,and efficient solar-thermal properties,we constructed an asymmetric Janus(Janus A/B)fiber(BTCSJF)that can simultaneously display two colors and help with energy reserve while harvesting solar power.Benefiting greatly from donor-acceptor elec-tron transfer,dynamic hydrogen bonding,and supercooling properties,BTCSJF displays a quick switch in color,excellent bistability,and enhanced performance in storing phase-change energy.In addition,BTCSJF can be self-heated by 35.6℃higher than conventional fibers because it can capture and store solar energy.This research outlines a method to fabricate braided fibers with two theoretically incompatible properties that have promising implications for self-powered integrated bistable color-changing and personal thermal management applications.

Effects of personalized oral hygiene management on oral health status of pregnant women

BACKGROUND The Cariostat caries activity test(CAT)was used to evaluate the effectiveness of personalized oral hygiene management combining oral health education and professional mechanical tooth cleaning on the oral health status of pregnant women.AIM To investigate whether personalized oral hygiene management enhances the oral health status of pregnant women.METHODS A total of 114 pregnant women who were examined at Dalian Women’s and Children’s Medical Center were divided into four groups:High-risk experimental group(n=29;CAT score≥2;received personalized oral hygiene management training),low-risk experimental group(n=29;CAT score≤1;received oral health education),high-risk control group(n=28;CAT score≥2),and low-risk control group(n=28;CAT score≤1).No hygiene intervention was provided to control groups.CAT scores at different times were compared using independent samples t-test and least significant difference t-test.RESULTS No significant difference in baseline CAT scores was observed between the experimental and control groups,either in the high-risk or low-risk groups.CAT scores were reduced significantly after 3(1.74±0.47 vs 2.50±0.38,P<0.0001)and 6 months(0.53±0.50 vs 2.45±0.42,P<0.0001)of personalized oral hygiene management intervention but not after oral health education alone(0.43±0.39 vs 0.46±0.33,P>0.05 and 0.45±0.36 vs 0.57±0.32,P>0.05,respectively).Within groups,the decrease in CAT scores was significant(2.43±0.44 vs 1.74±0.47 vs 0.53±0.50,P<0.0001)for only the high-risk experimental group.CONCLUSION Personalized oral hygiene management is effective in improving the oral health of pregnant women and can improve pregnancy outcomes and the oral health of the general population.

Natural Human Skin‑Inspired Wearable and Breathable Nanofiber‑based Sensors with Excellent Thermal Management Functionality

Wearable sensors have been rapidly developed for application in various human monitoring systems.However,the wearing comfort and thermal properties of these devices have been largely ignored,and these characteristics urgently need to be stud-ied.Herein,we develop a wearable and breathable nanofiber-based sensor with excellent thermal management functionality based on passive heat preservation and active Joule heating effects.The multifunctional device consists of a micropatterned carbon nanotube(CNT)/thermoplastic polyurethane(TPU)nanofiber electrode,a microporous ionic aerogel electrolyte and a microstructured Ag/TPU nanofiber electrode.Due to the presence of a supercapacitive sensing mechanism and the appli-cation of microstructuration,the sensor shows excellent sensing performance,with a sensitivity of 24.62 kPa-1.Moreover,due to the overall porous structure and hydrophobicity of TPU,the sensor shows good breathability(62 mm/s)and water repellency,with a water contact angle of 151.2°.In addition,effective passive heat preservation is achieved by combining CNTs with high solar absorption rates(85%)as the top layer facing the outside,aerogel with a low thermal conductivity(0.063 W m-1 k-1)as the middle layer for thermal insulation,and Ag with a high infrared reflectance rate as the bottom layer facing the skin.During warming,this material yields a higher temperature than cotton.Furthermore,the active Joule heat-ing effect is realized by applying current through the bottom resistive electrode,which can quickly increase the temperature to supply controlled warming on demand.The proposed wearable and breathable sensor with tunable thermal properties is promising for monitoring and heat therapy applications in cold environments.

Decentralized Mobile SNS Architecture and Its Personal Information Management Mechanism

Mobile SNS popular topics of mobile is one of the most Internet. In order to fulfill the user demand for self-maintained independent social network and ensure the privacy of their personal information and resources, the paper proposes system architecture of decentralized mobile SNS.In the temporary scenarios, the system makes use of the existent specification of FOAF （Friend- of-a-Friend） to describe users＇ personal information and act as a certificate to be identified by SNS sites. Ticket-based Access Authorization System （TAAS） is provided to grant permission to acquire resources on personal portal. Meanwhile, the mechanism and algorithm are devised for user profile complete deletion when users are going to quit the service for the temporary scenarios.

Balancing Dermatological and Gynecological Considerations: Evaluating the Necessity of Pelvic Exams in OCP Prescriptions for Acne Management

Routine pelvic examinations in women prescribed oral contraceptive pills (OCPs) for acne management are scrutinized to assess their impact on dermatological outcomes versus gynecological health. A synthesis of clinical trials, patient surveys, and medical guidelines reveals that these routine exams do not significantly enhance the effectiveness of acne treatment with OCPs but are linked to increased patient discomfort and false-positive results. Evidence suggests that routine pelvic examinations do not significantly impact the effectiveness of acne management with OCPs but are associated with increased patient discomfort and higher rates of false-positive results. The analysis indicates that a more personalized approach, focusing on selective pelvic examinations based on individual risk factors and clinical symptoms, may offer a more practical and patient-centered alternative. The review advocates for a reexamination of existing guidelines to better align with a model of individualized care, emphasizing the need for further research to optimize best practices at the intersection of dermatological and gynecological care. Adopting a personalized approach to pelvic examinations could substantially improve patient care by minimizing unnecessary interventions and discomfort while maintaining the efficacy of acne treatment with oral contraceptive pills.

Management of a Cluster of Foreign Body Ingestion Incidents in Patients with Borderline Personality Disorder

Objective: Deliberate foreign body ingestion (DFBI) has been reported in patients with personality disorders as part of a spectrum of self-harming behaviours, however the published literature is small (15 case reports). Method: This was a retrospective audit of medical and psychological management of a cluster of 12 DFBI incidents over 9 months in 4 young female patients with Borderline Personality Disorder (BPD). Results: All four patients knew one another from outpatient psychotherapy programmes. DFBI was associated with substance use in 5/12 incidents, and with precipitants (experiencing strong emotions, witnessing self-harm) in 4/12 incidents. Most DFBI involved sharp objects (razor blades, glass, safety pins). Medical intervention was initially active (endoscopy/surgery) but progressed to a more conservative, observational approach. Psychological management was initially restrictive, but also changed over time to focus on identifying distress, enhancing coping mechanisms and patient responsibility. Co-ordination of patient care management involvedintensive liaison (provision of interdisciplinary support and education) between medical, surgical and psychiatric teams. Conclusion: Management of DFBI in patients with BPD requires high levels of interdisciplinary collaboration. In this cluster of DFBI incidents, effective management was achieved with conservative medical/surgical methods (observation) and non-restrictive psychological approaches that enhanced patient self-efficacy.

Establishment of Person and Enterprise Process Model in Product Data Management System

Before the implementation of product data management (PDM) system, person model and enterprise process model (EPM) must be firstly established. For the convenience of project management, all the related users must be allocated to the “Person User Role Group” net. Based on the person model and the direction of information flow, the EPM is established subsequently. The EPM consists of several release levels, in which the access controls are defined. The EPM procedure shows the blueprint of the workflow process structure. The establishment of person model and EPM in an enterprise has been instanced at the end of this paper.

Personalized medicine approach to osteoporosis management in women: integrating genetics, pharmacogenomics, and precision treatments

Osteoporosis has emerged as a significant health issue among postmenopausal women.Addressing this concern necessitates a multifaceted approach encompassing genetics,pharmacogenomics,bone turnover markers,lifestyle factors,concurrent medical conditions,biomarkers,and advanced imaging techniques.Nonetheless,challenges in terms of cost-effectiveness and ethical considerations do exist.Fortunately,the convergence of technological progress and research endeavors offers a promising trajectory.The integration of genetic testing and pharmacogenomics into clinical practice holds substantial potential.This integration empowers healthcare professionals to forecast treatment responses and pinpoint individuals with elevated susceptibility,thereby enabling the implementation of tailored and efficacious interventions that optimize outcomes–personalized medicine.Given the intricate nature of osteoporosis,personalized strategies stand to greatly benefit women grappling with this condition.Further research and collaborative efforts are imperative to propel advancements within this domain,paving the way for further breakthroughs.

Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare

Chronic diseases are a growing concern worldwide,with nearly 25% of adults suffering from one or more chronic health conditions,thus placing a heavy burden on individuals,families,and healthcare systems.With the advent of the“Smart Healthcare”era,a series of cutting-edge technologies has brought new experiences to the management of chronic diseases.Among them,smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state.However,how to organize and analyze the data to achieve the ultimate goal of improving chronic disease management,in terms of quality of life,patient outcomes,and privacy protection,is an urgent issue that needs to be addressed.Artificial intelligence(AI)can provide intelligent suggestions by analyzing a patient’s physiological data from wearable devices for the diagnosis and treatment of diseases.In addition,blockchain can improve healthcare services by authorizing decentralized data sharing,protecting the privacy of users,providing data empowerment,and ensuring the reliability of data management.Integrating AI,blockchain,and wearable technology could optimize the existing chronic disease management models,with a shift from a hospital-centered model to a patient-centered one.In this paper,we conceptually demonstrate a patient-centric technical framework based on AI,blockchain,and wearable technology and further explore the application of these integrated technologies in chronic disease management.Finally,the shortcomings of this new paradigm and future research directions are also discussed.

Design and Implementation of Book Recommendation Management System Based on Improved Apriori Algorithm

The traditional Apriori applied in books management system causes slow system operation due to frequent scanning of database and excessive quantity of candidate item-sets, so an information recommendation book management system based on improved Apriori data mining algorithm is designed, in which the C/S (client/server) architecture and B/S (browser/server) architecture are integrated, so as to open the book information to library staff and borrowers. The related information data of the borrowers and books can be extracted from books lending database by the data preprocessing sub-module in the system function module. After the data is cleaned, converted and integrated, the association rule mining sub-module is used to mine the strong association rules with support degree greater than minimum support degree threshold and confidence coefficient greater than minimum confidence coefficient threshold according to the processed data and by means of the improved Apriori data mining algorithm to generate association rule database. The association matching is performed by the personalized recommendation sub-module according to the borrower and his selected books in the association rule database. The book information associated with the books read by borrower is recommended to him to realize personalized recommendation of the book information. The experimental results show that the system can effectively recommend book related information, and its CPU occupation rate is only 6.47% under the condition that 50 clients are running it at the same time. Anyway, it has good performance.

An Approach for Designing and Implementing Evidence Management Systems

Generally speaking, the software of management systems in law field is based on the frames of events. However, we are going to study and develop the new software of management system in which the basic elements are evidence. This kind of software is often called evidence management system. Here we are supposed to present a designing plan and an implementing approach for the evidence management system in detail. Some functions such as global, dynamic and systematic managing of evidence can be implemented in this system. We attempt to provide a function of individual searching as well. Users may carry out multi-dimensional data analysis based on the information of our database of the management systems.

The Implementation of Human Resource Management Information System

Human resource management has begun to conduct information technology to enhance the efficiency of human resource work.The research objectives are:(1)Does the implementation of human resource management information system enhance work efficiency?(2)What are key factors to influence the implementation of human resource management information system?This research adopts case study with in-depth interviews at W University of Science and Technology.The interviewees of this study were mainly one director and four staffs working at the Department of Human Resource.The research results show that the system quality is acceptable and the system security is perfect.All users have consistent opinions on the bad quality of information and they spend more time to check the data at work.The system use frequency of each user is different,mainly depending on the content of their work.Users who are used less have higher user satisfaction in human resource management information system.Most users perceive that the personal benefit is increased,and feel that this system can enhance personal benefits and improve the organization benefits for personnel management.

Bifunctional Asymmetric Fabric with Tailored Thermal Conduction and Radiation for Personal Cooling and Warming

Personal thermal management is emerging as a promising strategy to provide thermal comfort for the human body while conserving energy.By improving control over the heat dissipating from the human body,personal thermal management can provide effective personal cooling and warming.Here,we propose a facile surface modification approach to tailor the thermal conduction and radiation properties based on commercially available fabrics,to realize better management of the whole heat transport pathway from the human body to the ambient.A bifunctional asymmetric fabric(BAF)offering both a cooling and a warming effect is demonstrated.Due to the advantages of roughness asymmetry and surface modification,the BAF demonstrates an effective cooling effect through enhanced heat conduction and radiation in the cooling mode;in the warming mode,heat dissipation along both routes is reduced for personal warming.As a result,a 4.6℃ skin temperature difference is measured between the cooling and warming BAF modes,indicating that the thermal comfort zone of the human body can be enlarged with one piece of BAF clothing.We expect this work to present new insights for the design of personal thermal management textiles as well as a novel solution for the facile modification of available fabrics for both personal cooling and warming.

Critical Factors for Personal Cloud Storage Adoption in China

Purpose： In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationships to a user＇s intentions.Design/methodology/approach： Based on technology acceptance model（TAM）, network externality, trust, and an interview survey, this study proposes a personal cloud storage adoption model. We conducted an empirical analysis by structural equation modeling based on survey data obtained with a questionnaire.Findings： Among the adoption factors we identified, network externality has the salient influence on a user＇s adoption intention, followed by perceived usefulness, individual innovation, perceived trust, perceived ease of use, and subjective norms. Cloud storage characteristics are the most important indirect factors, followed by awareness to personal cloud storage and perceived risk. However, although perceived risk is regarded as an important factor by other cloud computing researchers, we found that it has no significant influence. Also, subjective norms have no significant influence on perceived usefulness. This indicates that users are rational when they choose whether to adopt personal cloud storage.Research limitations： This study ignores time and cost factors that might affect a user＇s intention to adopt personal cloud storage.Practical implications： Our findings might be helpful in designing and developing personal cloud storage products, and helpful to regulators crafting policies.Originality/value： This study is one of the first research efforts that discuss Chinese users＇ personal cloud storage adoption, which should help to further the understanding of personal cloud adoption behavior among Chinese users.

Developing a Comprehensive Regime for Personal Information Protection in Networked Chinese Public Sectors

With the increasing sharing and reuse of personal information resources for better public services, the effective protection and management of personal information as organizational and individual assets as well as social resources are becoming more and more important in networked Chinese public sectors. Existing studies of personal information protection in China is mainly conducted from the legal perspective with a focus on the development of appropriate legislation and policies at the national level. There is little research on how specific legislation and polices can actually be implemented in an effective manner and what impacts such legislation and policies have on individuals, organizations, and the society. To adequately address this issue, this study investigates the legal requirements for personal information protection based on the relevant laws, regulations, and standards in China. It proposes a comprehensive regime for personal information protection in the networked public sectors in China. Such a regime takes the advantages of existing discipline-based approaches, legal requirements, and control mechanisms for personal information protection. It can be used to facilitate the provision of public services in the networked Chinese public sectors through the adequate protection of personal information and the effective management of personal information.

Personal Data Use and Morality in the E-Business Environment

This paper deals with personal data use by firms in the e-business environment from the viewpoint of business administration and information ethics. Whereas the tremendous development of information and communication technology (ICT) has made it easier for firms to acquire, store, share, and utilise personal data on their customers, firms that use personal data are exposed to risks related to privacy issues. Since individuals fear the invasion of their privacy, the failure of a firm to appear or remain trustworthy would make it difficult for it to maintain accurate, up-to-date databases and to construct desirable business processes, which would affect the bottom line. Therefore, modern firms should do what they can to ensure that their customers trust them. For them, one promising way to remain trustworthy is to behave as a moral agent. Although it is difficult for any firm to meet the conditions necessary to be a moral agent, competence in behaving as a moral agent is a hard-to-imitate capability af firms for which personal data use is vital for enjoying the benefits of business relationships in the e-business environment.

Village Governance by Economic Capable Persons： A New Pattern of Rural Politics in China

Since the 1980s, a whole class of economic capable persons has emerged along with China＇s rural economic development. This class actively participates in grassroots politics and even leads local village governance, creating a unique, novel pattern of village governance in China. This pattern has far-reaching implications for the use of power in China＇s villages and for the management of grassroots communities. First, it represents democracy-based authoritarian politics （democracy-authority politics） and a transition away from traditional rural village ＂squireship＂ governance. Second, governance by economic capable persons surpasses the unitary, centralized People＇s Commune governance, replacing it with a pluralistic model that utilizes grass-roots community management. Third, the self-governing pattern that is emerging, wherein the general public participates in a government that is dominated by an economic capable persons, demonstrates a modification of ideal villager self-governance and also a pragmatic invention based on local political realities. In the long run, this new class emergence has the potential to evolve into a new type of localized politics; with further economic differentiation in rural areas, village governance will become increasingly diversified, where governing by capable persons will be just one feasible option. This pattern is already becoming common in many rural areas, especially those where the nonagricultural economy is relatively developed