How Does AI Fail Us? A Typological Theorization of AI Failures

AI incidents, often resulting from the complex interplay of algorithms, human agents, and situations, violate norms and can cause minor or catastrophic errors. This study systematically examines these incidents by developing a typology of AI failure and linking these modes to AI task types. Using a computationally intensive grounded theory approach, we analyzed 466 unique reported real-world AI incidents from 2013 to 2023. Our findings reveal an AI failure typology with six modes, including artifact malfunction, artifact misuse, algorithmic bias, agency oversight, situational unresponsiveness, and value misalignment. Furthermore, we explore the relationship between these failure modes and the tasks performed by AI, uncovering four propositions that provide a framework for future research. Our study contributes to the literature by offering a more holistic perspective on the challenges faced by AI-powered systems, beyond the critical challenges of fairness, transparency, and responsibility noted by the literature

Colloidal Silicalite Coating for Improving Ionic Liquid Membrane Loading on Macroporous Ceramic Substrate for Gas Separation

A thin layer of colloidal silicalite was coated on a macroporous alumina substrate to improve the effectiveness in loading and supporting ionic liquid (IL) membrane on macroporous ceramic substrate. The [bmim][BF4] IL and CO2 gas separation were used as the model system in this research. The colloidal silicalite top layer enabled the formation of a pinhole-free IL membrane with significantly reduced load of IL as compared to the bare alumina substrate because the former had a smaller and more uniform inter-particle pore size than the latter. The supported IL membrane was extensively studied for CO2 separation in conditions relevant to coal combustion flue gases. The silicalite-supported IL membrane achieved a CO2/N2 permselectivity of ~24 with CO2 permeance of ~1.0×10-8 mol/m2·s·Pa in dry conditions at 26˚C and reached a CO2/N2 separation factor of ~18 with CO2 permeance of ~1.56×10-8 mol/m2·s·Pa for a feed mixture containing ~11% CO2 and ~9% water vapor at 50oC. This supported IL membrane exhibited excellent stability under a 5-bar transmembrane pressure at 103˚C and chemical resistance to H2O, SO2, and air (O2). Results of this study also indicated that, in order to fully realize the advantages of using the colloidal silicalite support for IL membranes, it is necessary to develop macroporous ceramic supports with optimized pore size distribution so that the IL film can be retained in the micron-thin silicalite layer without penetrating into the base substrate

Does corporate green investment enhance profitability? An institutional perspective

Using the institutional theoretical perspective, this study seeks to unearth the antecedents of the mixed results in the extant literature regarding the association between corporate green investment (CGI) and profitability. The study utilized a novel dataset comprising environmental research data from Chinese A-share listed companies for the period 2010–2019. The findings indicate that CGI enhances profitability and that the positive association is reinforced by the promulgation of Environmental Protection Law 2015. Regional development also augments CGI’s positive effect on firms’ profitability. Nevertheless, no significant association is observed between firm profitability and CGI among firms operating within environmentally sensitive sectors. Our findings imply that apart from regulatory forces, normative and cognitive pressures are also key instruments that may be employed by governments to motivate firms to embrace greener and more sustainable practices

Reducing anxiety and improving self-acceptance in children and adolescents with osteosarcoma through group drawing art therapy

PurposeThis study explored the effect of group drawing art therapy (GDAT) on anxiety and self-acceptance in children and adolescents with osteosarcoma.MethodsUsing a randomized experimental study design, 40 children and adolescents with osteosarcoma who were treated in our hospital from December 2021 to December 2022 were selected as the research objects, including 20 in the intervention group and 20 in the control group. The control group received routine care for osteosarcoma, while the intervention group participated in eight sessions of GDAT, twice a week, 90–100 min each, in addition to routine care for osteosarcoma. A screening for children’s anxiety disorders (SCARED) and a self-acceptance questionnaire (SAQ) were used to evaluate the patients before and after the intervention.ResultsAfter 8 weeks of GDAT, the SCARED total score in the intervention group was 11.30 ± 8.603, and that in the control group was 22.10 ± 11.534. The difference between the two groups was statistically significant (t = -3.357, P < 0.05). In the intervention group, the SAQ total score was 48.25 ± 4.204, with self-acceptance and self-evaluation factor scores of 24.40 ± 2.521 and 23.85 ± 2.434, respectively. In the control group, the SAQ total score was 42.20 ± 4.047; the self-acceptance factor score was 21.20 ± 3.350 and that of the self-evaluation factor was 21.00 ± 2.224. The differences between the two groups were statistically significant (t = 4.637, P < 0.001; t = 3.413, P < 0.05; t = 3.866, P < 0.001, respectively).ConclusionGroup drawing art therapy can reduce anxiety and improve the levels of self-acceptance and self-evaluation in children and adolescents with osteosarcoma

Hyperpolarization-activated cyclic nucleotide-gated cation channel 3 promotes HCC development in a female-biased manner

Sex differences in hepatocellular carcinoma (HCC) development are regulated by sex and non-sex chromosomes, sex hormones, and environmental factors. We previously reported that Ncoa5(+/-) mice develop HCC in a male-biased manner. Here we show that NCOA5 expression is reduced in male patient HCCs while the expression of an NCOA5-interacting tumor suppressor, TIP30, is lower in female HCCs. Tip30 heterozygous deletion does not change HCC incidence in Ncoa5(+/-) male mice but dramatically increases HCC incidence in Ncoa5(+/-) female mice, accompanied by hepatic hyperpolarization-activated cyclic nucleotide-gated cation channel 3 (HCN3) overexpression. HCN3 overexpression cooperates with MYC to promote mouse HCC development, whereas Hcn3 knockout preferentially hinders HCC development in female mice. Furthermore, HCN3 amplification and overexpression occur in human HCCs and correlate with a poorer prognosis of patients in a female-biased manner. Our results suggest that TIP30 and NCOA5 protect against female liver oncogenesis and that HCN3 is a female-biased HCC driver

Co-making the future: judges’ insights on transdisciplinary creativity and global collaboration in the China-U.S. young maker competition

This paper examines the future of maker education through an analysis of feedback from judges in the China-U.S. Young Maker Competition. Drawing on inputs from 36 judges from diverse backgrounds in academia, industry, and sponsoring companies, the study uses thematic analysis of interviews, feedback, and focus group discussions to uncover key educational trends. It highlights critical themes such as transdisciplinary creativity, real-world application, sustainability, cross-cultural collaboration, and innovation mindset. The research reveals a trend towards integrating various academic fields to boost creative problem-solving and application in real-life scenarios. Sustainability is identified as a crucial component, pointing to the need for environmentally aware education. The study also emphasizes the importance of cross-cultural collaboration for global interconnectedness and adaptive problem-solving, alongside fostering a continuous innovation mindset in students. Concluding with future directions for maker education, the paper advocates for an experiential, inclusive, and forward-looking educational approach. It underscores the importance of a broad curriculum that integrates entrepreneurial skills, promotes lifelong learning, and enhances global connectivity. This study provides insights for educators, policymakers, and practitioners, offering a streamlined roadmap for advancing maker education in a rapidly evolving global context

Measurement report: Molecular characteristics of cloud water in southern China and insights into aqueous-phase processes from Fourier transform ion cyclotron resonance mass spectrometry

Characterizing the molecular composition of cloud water could provide unique insights into aqueous chemistry. Field measurements were conducted at Mt. Tianjing in southern China in May, 2018. There are thousands of formulas (C$_{5-30}$H$_{4-55}$O$_{1-15}$N$_{0-2}$S$_{0-2}$) identified in cloud water by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). CHON formulas (formulas containing C, H, O, and N elements; the same is true for CHO and CHOS) represent the dominant component (43.6 %–65.3 % of relative abundance), followed by CHO (13.8 %–52.1%). S-containing formulas constitute ∼5 %–20 % of all assigned formulas. Cloud water has a relative-abundance-weighted average O/C of 0.45–0.56, and the double bond equivalent of 5.10–5.70. Most of the formulas (>85 %) are assigned as aliphatic and olefinic species. No statistical difference in the oxidation state is observed between cloud water and interstitial PM$_{2.5}$. CHON with aromatic structures are abundant in cloud water, suggesting their enhanced in-cloud formation. Other organics in cloud water are mainly from biomass burning and oxidation of biogenic volatile organic compounds. The cloud water contains more abundant CHON and CHOS at night, which are primarily contributed by −N$_{2}$O$_{5}$ function and organosulfates, demonstrating the enhanced formation in dark aqueous or multi-phase reactions. While more abundant CHO is observed during the daytime, likely due to the photochemical oxidation and photolysis of N- or S-containing formulas. The results provide an improved understanding of the in-cloud aqueous-phase reactions

The performance of large-pitch AC-LGAD with different N+ dose

AC-Coupled LGAD (AC-LGAD) is a new 4D detector developed based on the Low Gain Avalanche Diode (LGAD) technology, which can accurately measure the time and spatial information of particles. Institute of High Energy Physics (IHEP) designed a large-size AC-LGAD with a pitch of 2000 {\mu}m and AC pad of 1000 {\mu}m, and explored the effect of N+ layer dose on the spatial resolution and time resolution. The spatial resolution varied from 32.7 {\mu}m to 15.1 {\mu}m depending on N+ dose. The time resolution does not change significantly at different N+ doses, which is about 15-17 ps. AC-LGAD with a low N+ dose has a large attenuation factor and better spatial resolution. Large signal attenuation factor and low noise level are beneficial to improve the spatial resolution of the AC-LGAD sensor

Characterization of the response of IHEP-IME LGAD with shallow carbon to Gamma Irradiation

Low Gain Avalanche Detectors (LGAD), as part of High-Granularity Timing Detector (HGTD), is crucial to reducing pileup in the upgrading to HL-LHC. Many studies have been done on the bulk damages of the LGAD. However, there's no study about the surface radiation hardness of the LGAD sensors with carbon implanted. The IHEP-IME LGAD version 3 with the shallow carbon and different interpad separations were irradiated up to 2 MGy by gamma irradiation. The performance of the IHEP-IME LGAD version 3 before and after irradiation had been tested, such as the leakage current, break-down voltage, capacitance, V$_{gl}$, and inter-pad resistance. The results showed that apart from minor fluctuations in some samples, no significant changes concerning inter-pad separation were observed before and after irradiation. Leakage current and break-down voltage increase after irradiation, which is considered due to surface passivation; the overall inter-pad resistance are larger than $10^9\ \Omega$before and after irradiation; capacitance is found to be less than 4.5 pF with a slight drop in V$_{gl}$ after irradiation. All parameters meet the requirements of HGTD, and the results indicated that IHEP-IME LGAD v3 has excellent anti-irradiation performance

Research Progress on Caproic Acid-producing Bacteria in Chinese Strong-flavor Baijiu Fermentation Ecosystem

In the Chinese strong-flavor baijiu (CSFB) fermentation ecosystem, the caproic acid-anabolism of caproic acid-producing bacteria (CPBs) is very important for improving the fermentation quality of CSFB. Therefore, it is necessary to thoroughly understand the types of CPBs and their caproic acid-anabolism characteristics. This minireview introduces readers to the diversity, phylogenetic relationship, physiological and metabolic characteristics, and caproic acid synthesis mechanism of CPBs isolated from the CSFB fermentation ecosystem as well as their synergistic metabolic relationships with other CPBs or non-CPBs. This paper provides a reference for understanding the in-situ caproic acid-anabolism pattern of CPBs from the CSFB fermentation ecosystem, and further provides a theoretical basis for the future targeted application of CPBs in CSFB fermentation and for CPBs culture engineering for the synthesis of high value-added caproic acid