We study the relationship between corporate social performance and financial performance by comparing the portfolio returns of firms with changes in corporate social responsibility (CSR) intensity. Using an extensive US sample from the MSCI ESG database, we find that improvement in the overall CSR is generally value enhancing. The relationship varies with CSR dimensions. More importantly, the relationship shifts differently for various CSR dimensions during the crisis period when trust in the society is low and financial resource is limited. Improvement (...) in environment, human rights, and product characteristics shows higher financial returns during the financial crisis period, whereas the value enhancement of improvement in employee relations is more pronounced during the non-crisis period. (shrink)

Cooperative innovation has become a critical method for freight logistics firms in supply chain management. The previous study has proved that relational embeddedness has a positive effect on service innovation performance. However, the influence of organizational learning capacity has been widely ignored. This study focuses on explaining the mechanism of OLC on the relationship between RE and innovation performance of freight logistics service. Firstly, a theoretical model is constructed based on Social Network Theory, and four research hypotheses are presented. Secondly, (...) a sample of 236 respondents from freight logistics firms in China is analyzed to test the hypotheses. Finally, several management implications and recommendations are suggested. The research results demonstrate that both RE and OLC have positive effects on IPFLS. Meanwhile, OLC partially mediates the relationship between RE and IPFLS. The findings provide practical guidance for managers to strengthen the relationship with partners and enhance OLC. (shrink)

Globalized workplace is increasingly moving into complex jobs requiring their employees to exhibit complex knowledge and complex skills. Though acquiring such complex skills or knowledge requires longer time, the pace of business puts pressure on organizations to accelerate the time it takes for their employees to become proficient in their jobs. This shift has challenged the conventional training and learning strategies, structure, methods, instructional design and delivery methodologies generally used by training providers and by the organizations. This paper presents the (...) preliminary research findings of a Doctorate research carried out using Grounded theory approach with over 71 in-depth interviews with leading experts in over 40 industries. Preliminary findings suggest that certain e-learning strategies and platforms hold better potential over others to successfully accelerate time-to-proficiency of individuals in leading organizations. This paper provides first look at 10 e-learning strategies and how those could be orchestrated before, during and after a formal training program to develop job-ready learners in shorter time. (shrink)

The high pace business environment poses great competition among firms. The key to an organisation’s survival is its workforce. Time taken by the workforce to reach to full proficiency in their job role takes very long in certain job roles. Thus, shortening time-to-proficiency of employees is a critical business problem for today’s organisations. This qualitative research study explored the proven practices and strategies that have successfully reduced time-to-proficiency of the workforce in various settings. A total of 93 participants from seven (...) countries participated in the research study. Bounded project case was used as sampling unit and unit of analysis in this study. This study collected 67 successful project cases with the evidence of significant reduction in time-to-proficiency of the workforce in their settings. These project cases spanned across nine economic sectors, 20 business sectors and 28 industry groups. This study revealed that project leaders across the board used six practices to successfully reduced the time-to-proficiency. The purpose of this paper is present the model of accelerated proficiency at the workplace developed in this study. (shrink)

Against the backdrop of frequent food safety problems, the importance of establishing food traceability systems has become increasingly important and urgent to address the contradiction between consumer information on safe food choices and the proliferation of problematic foods. The purpose of this study is to empirically study the influencing factors of Chinese consumers on the food traceability system in the food safety field. In this study, multiple models—push factor, pull factor, mooring factor, and switching intention—were integrated into the push-pulling-mooring theory (...) to form a conceptual PPM comprehensive model framework to study the switching intentions of two-dimensional code traceability technology for dairy products of Chinese consumers. By collecting the questionnaire survey, 305 valid questionnaires were collected from the consumers of middle- and high-end dairy products in China, and the influencing factors of thrust, pull, and mooring force were identified. The results showed that 10 of the 11 hypotheses were positive, but the impact of perceived risk on user satisfaction was negative. The important value of this study is to conduct a comprehensive empirical analysis of the key factors influencing consumer choice of traceable safe food through an integrated multi-model framework to help identify ways to establish and improve consumer willingness to use QR code traceable system products, to increase consumer confidence in the use of traceable and safe food choices. (shrink)

Religious beliefs in Chinese cultural background, especially in Chinese secular society, have rarely been systematically investigated. The nonreligious-based population in China endorses certain supernatural beliefs or has related transcendent experience, even though they usually claim themselves as non-believers. Therefore, the current research examined the spirituality-prosociality association in Chinese secular background, demonstrating how spiritual connection with the transcendence related to individual secular social life. A total of 440 Chinese participants completed our questionnaires in three survey studies. The results showed that: 1) (...) for the nonreligious-based population in China, spirituality was positively connected with personal prosocial trait, prosocial attitude, and prosocial behavior; 2) the prosocial trait of compassionate love partially mediated the association between spirituality and daily prosocial expenses on time and money; and 3) personal emphasis on moral principles such as ultimate justice beliefs partially mediated the association between spirituality and interpersonal altruism in organizational settings. Limitations and future directions were discussed. (shrink)

本书简要地阐明了文学本文的创造过程,文学作品的构成及其实现过程,文学的审美价值系统及其实现过程,文学的历史发展过程。.

Volume 20, Issue 5, June 2020, Page 38-40.

The race among global firms to launch its respective products and services into the market sooner than the competitors puts pressure to equip its employees with job-related skills at the pace of business. Today’s global and dynamic business requires employees to develop highly complex cognitive skills such as decision-making, problem-solving, troubleshooting to perform their jobs proficiently. Traditional training models used by some organizations lead to a very slow speed at which employees gain an acceptable level of proficiency in the targeted (...) job skills. Also, these models have long and regimented instructional development cycle. Thus, traditional models are inherently counter-productive to the business and do not enable employees and organizations for today’s business needs. Therefore, business organizations need to explore new training models and strategies that could reduce the time an employee takes to reach target proficiency in complex skills without compromising the effectiveness or outcome. A comprehensive review of the literature shows a very limited amount of academic or practitioner research on this topic. This doctorate research study aims to find various training strategies that have proven successful in organizations for accelerating proficiency of employees in complex job skills. The researcher collected data primarily through 74 in-depth interviews with 86 training experts with known work experience of reducing time-to-proficiency in various settings. A total of 105 project cases have been collected across 42 industries to date. A grounded theory approach with constant comparison method is used to guide the theoretical saturation, analyze the data and to develop a theoretical model of training strategies. This unique study revealed a range of training strategies from non-training solutions to classroom instructions to workplace training to accelerate proficiency of employees in acquiring complex skills. This paper will specifically report the preliminary findings and conceptual model of major classroom-based instructional strategies only that has been found to hold the potential to shorten time-to-proficiency of employees at the workplace. This paper will also discuss the implications of the findings for the practitioners. Results in this study confirmed that classroom-based instructional strategies need to be designed and delivered the way the work is being performed in reality by the learners. Research findings suggest a pattern of five classroom-based instructional strategies that are more successful in reducing time-to-proficiency - 1) Contextualized learning 2) Performance analysis of star performer 3) Active processing and emotional involvement 4) Access to self-guided learning resources 5) Social interconnectivity and informal learning. (shrink)

Safeguarding GenAI models against threats and aligning them with security requirements is imperative yet challenging. This chapter provides an overview of the security landscape for generative models. It begins by elucidating common vulnerabilities and attack vectors, including adversarial attacks, model inversion, backdoors, data extraction, and algorithmic bias. The practical implications of these threats are discussed, spanning domains like finance, healthcare, and content creation. The narrative then shifts to exploring mitigation strategies and innovative security paradigms. Differential privacy, blockchain-based provenance, quantum-resistant algorithms, (...) and human-guided reinforcement learning are analyzed as potential techniques to harden generative models. Broader ethical concerns surrounding transparency, accountability, deepfakes, and model interpretability are also addressed. The chapter aims to establish a conceptual foundation encompassing both the technical and ethical dimensions of security for generative AI. It highlights open challenges and lays the groundwork for developing robust, trustworthy, and human-centric solutions. The multifaceted perspective spanning vulnerabilities, implications, and solutions is intended to further discourse on securing society’s growing reliance on generative models. Frontier model security is discussed using Anthropic proposed approach. (shrink)

Developing World Bioethics, Volume 22, Issue 3, Page 170-178, September 2022.

This article examines the interlinked impacts of gender and race on occupational prestige, segregation, and earnings. Included are occupations about which Bose and Rossi reported prestige ranks and about which the 1980 census reported earnings and relevant gender/race breakdowns. White men are used as the comparison group. Contrasted to them are the gender/race groups of white women, Black men, Black women, Asian-American men, Asian-American women, Hispanic men, and Hispanic women. Race has a more powerful impact than gender on the prestige (...) level a worker is likely to enjoy, but gender does affect prestige within particular racial groups. For segregation and earnings, the strongest effects are those of gender, although there are clear race effects too. Segregation examined in terms of the prestige of occupations in which different groups find themselves shows race and gender effects. Many researchers have pointed to the need for considering both gender and race in examining the American occupational structure. Our findings strongly support that call. (shrink)

On 19 October 2013, the Chinese government issued the Opinions on Further Regulation on Party and Political Leaders and Cadres Working Part-Time in Enterprises, also known as the 18th Decree, to regulate government officials’ employment with businesses. The 18th Decree is widely perceived as having had a significant impact on the use of independent directors with political backgrounds by firms, given the prevalence of this business practice. This paper examines the market reaction to the 18th Decree to ascertain the value (...) effect of political connections in China. We note a negative relationship between the political connections of independent directors and market reaction. We also note that the negative relationship between political connections and market reaction is moderated by ownership type and state of regional development. Specifically, we find that the negative relationship holds only for private firms in less developed regions. These results support our prediction that political connections add value to Chinese firms and that the value effect of political connection is contingent on institutional factors. (shrink)

Original and cumulative prospect theory differ in the composition rule used to combine the probability weighting function and the value function. We test the predictive power of these composition rules by performing a novel out-of-sample prediction test. We apply estimates of prospect theory’s weighting and value function obtained from two-outcome cash equivalents, a domain where original and cumulative prospect theory coincide, to three-outcome cash equivalents, a domain where the composition rules of the two theories differ. Although both forms of prospect (...) theory predict three-outcome cash equivalents very well, at the aggregate level, we find small but systematic under-prediction of cash equivalents for cumulative prospect theory and small but systematic over-prediction of cash equivalents for original prospect theory. We also observe substantial heterogeneity across subjects and types of gambles, some of which is accounted for by differences in the curvature and elevation of the weighting function across individuals. We also find differences in prediction related to whether the worst outcome is zero or non-zero. (shrink)

The current study mainly explored the influence of fluid intelligence and emotional intelligence on affective decision-making from a developmental perspective, specifically, during the transition from childhood into early adolescence. Meanwhile, their age-related differences in affective decision-making were explored. A total of 198 participants aged 8–12 completed the Iowa Gambling Task, the Cattell’s Culture Fair Intelligence Test and the Trait Emotional Intelligence Questionnaire-Child Form. Based on the net scores of IGT, the development of affective decision-making ability did not increase monotonically with (...) age, and there was a developmental trend of an impaired IGT performance in early adolescence, especially in the early learning phase of the IGT. More importantly, IQ and EI played different roles for children and early adolescents: IQ and EI jointly predicted the IGT performance for 8–10 years old children, whereas only EI contributed to the IGT performance of 11–12 years old early adolescents. The present study extends the evidence how cognitive processing and emotional processing interact in affective decision-making from the developmental perspective. Furthermore, it provides insights of future research and intervention with early adolescents’ poor affective decision-making. (shrink)

With the increasing number of electric vehicles, the charging demand of EVs has brought many new research hotspots, i.e., charging path planning and charging pricing strategy of the charging stations. In this paper, an integrated framework is proposed for multiobjective EV path planning with varied charging pricing strategies, considering the driving distance, total time consumption, energy consumption, charging fee such factors, while the charging pricing strategy is designed based on the objectives of maximizing the total revenues of the charging stations (...) and balancing the profits of the charging stations. First, the energy consumption model of EVs, the M/M/S queuing model of charging stations, and the charging model of charging piles are established. A novel charging path planning algorithm is proposed based on bidirectional Martins’ algorithm, which can assist EV users to select charging stations and plan charging paths. Then, a particle swarm optimization algorithm is applied to solve the optimal solution of charging station pricing designation. Finally, the method proposed in the paper is simulated on the street map of Shenzhen to verify the efficacy of the multiobjective charging path planning for EVs and the feasibility of the charging pricing strategy. (shrink)

A session-based recommendation system is designed to predict the user’s next click behavior based on an ongoing session. Existing session-based recommendation systems usually model a session into a sequence and extract sequence features through recurrent neural network. Although the performance is greatly improved, these procedures ignore the relationships between items that contain rich information. In order to obtain rich items embeddings, we propose a novel Recommendation Model based on Multi-channel Convolutional Neural Network for session-based recommendation, RMMCNN for brevity. Specifically, we (...) capture items' internal features from three dimensions through multi-channel convolutional neural network firstly. Next, we merge the internal features with external features obtained by a GRU unit. Then, both internal features and external features are merged by an attention mechanism together as the input of the transformation function. Finally, the probability distribution is taken as the output after the softmax function. Experiments on various datasets show that our method's precision and recommendation performance are better than those of other state-of-the-art approaches. (shrink)

Laws in China relating to HIV disclosure are inconsistent. After a patient has tested HIV‐positive, service providers struggle to decide who should be informed first: patients, family members, or both. To understand service providers' attitudes and practices regarding the HIV notification process in China, 1101 service providers from a southwestern province of China were surveyed. Opinions were gathered from providers at five different levels of health care facilities (provincial, city, county, township and village). A mixed methods approach was used to (...) analyze perceptions of informing family members of a patient's HIV status. Quantitative analysis was used to examine whether providers held a favorable attitude toward notifying family members first and qualitative analysis was used to explore the reasons and consequences of notifying family members first. Nearly half of service providers felt family members should be informed of a patient's HIV status first. Providers who were older, had contact with HIV patients, or had less medical education were more likely to agree with a family‐first notification practice. Psychological pressure, concern about protecting family members, the need for family support, and consideration for local regulations were cited as the main reasons for this practice. There is an immediate need to re‐examine HIV notification policies so that there are consistent guidelines and procedures for providers throughout China. (shrink)

This paper studies the adaptive event-triggered finite-time tracking of output-constrained high-order nonlinear systems with time-varying powers. Due to the presence of multiple unknown powers and the consideration of event-triggered control, all the existing control methods of output-constrained nonlinear systems are inapplicable. By introducing nonlinear mappings, finite-time performance functions, and low-power and high-power terms into adding a power integrator technique and the relative threshold strategy, an adaptive state-feedback controller is designed to eliminate the effects caused by the output constraint and time-varying (...) powers. It is proved that all the closed-loop signals are bounded, the asymmetric time-varying output constraint is not violated, and the tracking error converges to a prescribed arbitrarily small region around zero in a preassigned finite time. Furthermore, the Zeno phenomenon can be avoided. Two simulation examples demonstrate the effectiveness of this control scheme. (shrink)

In multimodal multiobjective optimization problems, multiple Pareto optimal sets, even some good local Pareto optimal sets, should be reserved, which can provide more choices for decision-makers. To solve MMOPs, this paper proposes an evolutionary algorithm with clustering-based assisted selection strategy for multimodal multiobjective optimization, in which the addition operator and deletion operator are proposed to comprehensively consider the diversity in both decision and objective spaces. Specifically, in decision space, the union population is partitioned into multiple clusters by using a density-based (...) clustering method, aiming to assist the addition operator to strengthen the population diversity. Then, a number of weight vectors are adopted to divide population into N subregions in objective space. Moreover, in the deletion operator, the solutions in the most crowded subregion are first collected into previous clusters, and then the worst solution in the most crowded cluster is deleted until there are N solutions left. Our algorithm is compared with other multimodal multiobjective evolutionary algorithms on the well-known benchmark MMOPs. Numerical experiments report the effectiveness and advantages of our proposed algorithm. (shrink)

China set the goal of expanding early childhood education in 2018, by encouraging the development of public interest kindergartens to provide high-quality, low-cost preschool services to the general public. This is in response to the challenges of accessibility, affordability, and accountability besetting China’s current ECE system. However, the transition toward PIK has been slow due to various complex problems, including the lackluster willingness of ECE providers to become PIK. To better understand the challenges leading to low participation, this study explores (...) the external pressures affecting ECE providers and evaluates the external factors that influence their level of social responsibility. A stratified-random sampling questionnaire survey solicited responses from 832 ECE personnel representing 261 kindergartens from across China. Our findings suggest that institutional pressure has a positive effect on social responsibility and inclusive participation. We also found that institution visibility positively regulates the relationship between institutional pressure and social responsibility. At the same time, the level of environmental perception positively governs the relationship between social responsibility and participation willingness. Kindergartens should have certain social values, including assuming certain behaviors and participating in social activities in the spirit of social service and ensure multiple subjects’ synergetic governance. (shrink)

ObjectiveThe level of health literacy is one of the important factors affecting health outcomes. Family is an important place to shape personality traits, and people with different personalities will adopt different lifestyles, which will lead to variations in health outcomes. Therefore, this article aims to explore the relationship between health literacy and personality and its influencing factors in different family structures.MethodsThis was a cross-sectional study with 1,406 individuals. A questionnaire was utilized to measure health literacy, personality and demographic variables, including (...) family structure. Canonical correlation analysis and hierarchical multiple regression analysis were used to examine the relation between health literacy and personality traits between two types of family structure.ResultsCCA showed that the canonical correlation coefficients were 0.309 and 0.347, in two-parent family and single-parent family, respectively. The openness of personality traits exhibited the highest correlation with health literacy. Compared with the remaining personality traits, openness yielded the strongest effect in two types of family structure, respectively. Education and monthly income were significantly associated with health literacy.ConclusionOur results support the relation between health literacy and personality traits in two types of family structure. (shrink)

Competitive advantage and core competency are the unique capabilities and assets of an organization to provide valuable products or services to customers, thus giving the organization a better competitive position in the market than its competitors. In addition, how to create a competitive advantage is also one of the main objectives of business strategy. Therefore, this study focuses on understanding the decisive factors in regional revitalization and the relationship between business strategy, strategic alliance, and alliance performance through small and medium (...) enterprises in Taiwan. This study selected a sample of 220 SMEs in Taiwan that had participated in the SME regional revitalization counseling program. The results showed that competitive advantage, core competency and strategic alliance partner selection had significant effects on alliance performance. In addition, core competency had an indirect effect on alliance performance through strategic alliance partner selection. However, competitive advantage did not have a significant effect on strategic alliance partner selection. Finally, this study proposes management implications and practical suggestions for SMEs’ competitive advantage, core competency, and alliance performance. (shrink)

The study aimed to examine the psychometric properties of the coronavirus anxiety scale during the coronavirus disease 2019 delta epidemic. A total of 2,116 participants on the Chinese mainland completed the online survey. We employed exploratory factor analysis and confirmatory factor analysis to investigate the factor structure. The findings showed that the one-factor model of the CAS Chinese version fitted perfectly with the data. The multigroup CFAs showed the measurement invariance across gender and age groups. We also examined the CAS’s (...) internal consistency and convergent and concurrent validity. The results demonstrated that the one-factor model had good reliability and convergent and concurrent validity. Overall, according to our findings, the CAS Chinese version was reliable for measuring coronavirus anxiety during the COVID-19 delta outbreak. (shrink)

Bromodomain‐containing 4 (BRD4), a member of Bromo and Extra‐Terminal (BET) family, recognizes acetylated histones and is of importance in transcription, replication, and DNA repair. It also binds non‐histone proteins, DNA and RNA, contributing to development, tissue growth, and various physiological processes. Additionally, BRD4 has been implicated in driving diverse diseases, ranging from cancer, viral infection, inflammation to neurological disorders. Inhibiting its functions with BET inhibitors (BETis) suppresses the progression of several types of cancer, creating an impetus for translating these chemicals (...) to the clinic. The diverse roles of BRD4 are largely dependent on its interaction partners in different contexts. In this review we discuss the molecular mechanisms of BRD4 with its interacting partners in physiology and pathology. Current development of BETis is also summarized. Further understanding the functions of BRD4 and its partners will facilitate resolving the liabilities of present BETis and accelerate their clinical translation. (shrink)

Inhibition of return refers to the phenomenon that a person is slower to respond to targets at a previously cued location. The present study aimed to explore whether target-reward association is subject to IOR, using event-related potentials to explore the underlying neural mechanism. Each participant performed a localization task and a color discrimination task in an exogenous cueing paradigm, with the targets presented in colors previously associated with high- or low-reward probability. The results of both tasks revealed that the N1, (...) Nd, and P3 components exhibited differential amplitudes between cued and uncued trials under low reward, with the N1 and Nd amplitudes being enhanced for uncued trials compared to cued trials, and the P3 amplitude being enhanced for cued trials vs. uncued trials. Under high reward, however, no difference was found between the amplitudes on cued and uncued trials for any of the components. These findings demonstrate that targets that were previously associated with high reward can be resistant to IOR and the current results enrich the evidence for interactions between reward-association and attentional orientation in the cueing paradigm. (shrink)

Based on the perspective of the regional innovation system, this study constructs an analytical framework for the influence of government R&D funding on regional innovation quality and uses 283 Chinese cities as research samples to empirically test the influence of government R&D funding methods such as subsidies and tax preferences on regional innovation quality by the spatial Durbin model. According to the study, China’s regional innovation quality has a positive spatial correlation. Subsidies can improve regional innovation quality, which is mainly (...) realized by increasing the input of innovation resources from local direct innovation subjects, attracting the inflow of innovation resources from neighboring areas, and increasing the innovation support from local indirect innovation subjects. Besides, spatial competition for subsidies makes it beneficial to improve the regional innovation quality in neighboring regions, while the promotion effect of tax preferences is not significant. When considering the heterogeneity of the city location and administrative hierarchy, it shows that the government R&D funding cannot improve the innovation quality of the Eastern cities and higher-administrative-hierarchy cities, while it can improve that of the Middle and Western cities and general-administrative-hierarchy cities. Furthermore, government R&D funding widens the gap of regional innovation quality, which may be related to the existing “insufficient intervention” and “excessive intervention” of government R&D funding. This study provides insights into the implementation of R&D funding by the government to promote the development of regional innovation quality. (shrink)

COVID-19 has affected every aspect of our life, including economic, social, and academic. Exchange and mobility students face more difficulties overseas, and Chinese students are no exception. However, e-learning has been introduced by institutions in many countries. The present study examines the psychosocial factors affecting the academic performance of Chinese outbound exchange and mobility students during the COVID-19 pandemic. The study surveys about 186 Chinese outbound exchange and mobility students. The present study performs the quantitative data analysis using Partial Least (...) Square Structural Equation Modeling through the Smart PLS software version 3. By confirming the measurement model and structural model assessments, the study finds that personality, social support, and language fluency are psychosocial factors that significantly influence the exchange and mobility students’ academic performance. This study contributes by establishing relationships among psychosocial factors, language fluency and academic performance. Besides, practitioners can be benefitted by understanding students’ psychosocial factors and its relation to academic performance during COVID-19 pandemic. (shrink)

Why Lazarus Laughed explicates the essential doctrine shared by the traditions of Zen Buddhism, Advaita, and Tantra. Wei Wu Wei has become an underground spiritual favorite whose fans anxiously await each reissued book.

Anderson and Csima defined a bounded jump operator for bounded-Turing reduction, and studied its basic properties. Anderson et al. constructed a low bounded-high set and conjectured that such sets cannot be computably enumerable. Ng and Yu proved that bounded-high c.e. sets are Turing complete, thus answered the conjecture positively. Wu and Wu showed that bounded-low sets can be superhigh by constructing a Turing complete bounded-low c.e. set. In this paper, we continue the study of the comparison between the bounded-jump and (...) Turing jump. We show that low c.e. sets are not all bounded-low and that incomplete superhigh c.e. sets can be bounded-low. (shrink)

Cooper proved in [S.B. Cooper, Strong minimal covers for recursively enumerable degrees, Math. Logic Quart. 42 191–196] the existence of a c.e. degree with a strong minimal cover . So is the greastest c.e. degree below . Cooper and Yi pointed out in [S.B. Cooper, X. Yi, Isolated d.r.e. degrees, University of Leeds, Dept. of Pure Math., 1995. Preprint] that this strongly minimal cover cannot be d.c.e., and meanwhile, they proposed the notion of isolated degrees: a d.c.e. degree is isolated (...) by a c.e. degree if is the greatest c.e. degree below , and we also say that isolates . In [G. Wu, Bi-isolation in the d.c.e. degrees, J. Symbolic Logic 69 409–420], Wu extended Cooper–Yi’s notion and proved that there are intervals of d.c.e. degrees containing exactly one c.e. degree . Following Cooper and Yi’s notion, is called a bi-isolating degree. The bi-isolating degrees are dense in the high c.e. degrees. Arslanov asked whether the bi-isolating degrees occur in every jump class. In this paper, we prove that there are low bi-isolating degrees, providing a partial solution to Arslanov’s question. (shrink)