New Graduate Nurses' Experiences by Generation in South Korea: A Qualitative Meta-Synthesis.

BACKGROUND: As the nursing organization environment evolves into one in which several generations work together, there are concerns about generational differences leading to conflicts. PURPOSE: A synthesis of qualitative studies was used to gain insight into the experiences and perceptions of new nurses working in South Korean hospitals and identify generational differences between nurses of Generations X and Y. METHODS: Eight databases were searched systematically for qualitative studies published up to June 2020. The Critical Appraisal Skills Programme Checklist for Qualitative Research was used to evaluate the quality of the retrieved studies, and the data were synthesized thematically using the Thomas and Harden method. RESULTS: Of the 2,482 studies retrieved, 19 were included in this meta-synthesis. The experience of new nurses were presented in the three analytical themes of work experience, interpersonal relationships, and adaptation, from which eight descriptive themes were derived: (a) dissatisfied with own work performance, (b) negative feedback on work outcomes, (c) irregular daily life, (d) colleagues who help adapt to work life or make work life harder, (e) feelings of sympathy toward peers, (f) disrespectful patients or caregivers, (g) effective reactions, and (h) ineffective reactions. Although the new nurses from Generations X and Y reported similar experiences during their first year of nursing, differences were found in their values and tendencies regarding work and interpersonal relationships. Compared with new Generation X nurses, new Generation Y nurses placed more value on the meaning of individual work contributions, intimacy with colleagues, and appropriate feedback. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: The findings of this study support nursing administrators implementing strategies that both acknowledge and reduce the impact of generational category on nursing teams. Furthermore, emphasizing communication and acknowledging ongoing change as generations progress may strengthen bonds that lead nurses to value each other and their work.

Potent Anticancer Activity of a Dinuclear Gold(I) bis-N-Heterocyclic Imine Complex Related to Thioredoxin Reductase Inhibition in Vitro.

A dinuclear gold(I) complex featuring a strongly donating bis-N-heterocyclic imine ligand was synthesised and characterised by different methods, including single crystal X-ray diffraction (SC-XRD) analysis. The compound has been tested for its antiproliferative effects in a panel of human cancer cell lines in vitro, showing highly selective anticancer effects, particularly against human A549 non-small cell lung cancer cells (NSCLC), with respect to non-tumorigenic cells (VERO). The accumulation of the compound in A549 and VERO cells was studied by high-resolution continuum source atomic absorption spectrometry (HRCS-AAS), revealing that the anticancer effects are not particularly related to the different amounts of gold taken up by the cells over 72 h. Enzyme inhibition studies to evaluate the activity of the seleno-enzyme thioredoxin reductase (TrxR) in cancer cell extracts show that the gold(I) compound is a potent inhibitor (IC50=0.567±0.208 µM), while the free ligand is ineffective. This result correlates with the observed compound's selectivity towards A549 cells overexpressing the enzyme.

Optimizing coagulant dosage using deep learning models with large-scale data.

Water treatment plants are facing challenges that necessitate transition to automated processes using advanced technologies. This study introduces a novel approach to optimize coagulant dosage in water treatment processes by employing a deep learning model. The study utilized minute-by-minute data monitored in real time over a span of five years, marking the first attempt in drinking water process modeling to leverage such a comprehensive dataset. The deep learning model integrates a one-dimensional convolutional neural network (Conv1D) and gated recurrent unit (GRU) to effectively extract features and model complex time-series data. Initially, the model predicted coagulant dosage and sedimentation basin turbidity, validated against a physicochemical model. Subsequently, the model optimized coagulant dosage in two ways: 1) maintaining sedimentation basin turbidity below the 1.0 NTU guideline, and 2) analyzing changes in sedimentation basin turbidity resulting from reduced coagulant dosage (5-20%). The findings of the study highlight the effectiveness of the deep learning model in optimizing coagulant dosage with substantial reductions in coagulant dosage (approximately 22% reduction and 21 million KRW/year). The results demonstrate the potential of deep learning models in enhancing the efficiency and cost-effectiveness of water treatment processes, ultimately facilitating process automation.

Albumin-binding recombinant human IL-18BP ameliorates macrophage activation syndrome and atopic dermatitis via direct IL-18 inactivation.

Given the clinical success of cytokine blockade in managing diverse inflammatory human conditions, this approach could be exploited for numerous refractory or uncontrolled inflammatory conditions by identifying novel targets for functional blockade. Interleukin (IL)-18, a pro-inflammatory cytokine, is relatively underestimated as a therapeutic target, despite accumulated evidence indicating the unique roles of IL-18 in acute and chronic inflammatory conditions, such as macrophage activation syndrome. Herein, we designed a new form of IL-18 blockade, i.e., APB-R3, a long-acting recombinant human IL-18BP linked to human albumin-binding Fab fragment, SL335, for extending half-life. We then explored the pharmacokinetics and pharmacodynamics of APB-R3. In addition to an extended serum half-life, APB-R3 alleviates liver inflammation and splenomegaly in a model of the macrophage activation syndrome induced in IL-18BP knockout mice. Moreover, APB-R3 substantially controlled skin inflammation in a model of atopic dermatitis. Thus, we report APB-R3 as a new potent IL-18 blocking agent that could be applied to treat IL-18-mediated inflammatory diseases.

Hypervascular nodular hepatic involvement in multiple myeloma: A case report.

Multiple myeloma (MM) presenting as multiple hypervascular nodular hepatic infiltration is rare. We report a case of liver involvement of MM in 62-year-old woman presenting as multiple hepatic nodules with arterial enhancement and delayed washout. As in our case, the inclusion of MM in the differential diagnosis of multiple hypervascular hepatic nodules should be considered despite of its rarity.

Frequency of actionable secondary findings in 7472 Korean genomes derived from the National Project of Bio Big Data pilot study.

Exome and genome sequencing (ES/GS) in genetic medicine and research leads to discovering genomic secondary findings (SFs) unrelated to the purpose of the primary test. There is a lack of agreement to return the SF results for individuals undergoing the test. The aim of this study is to investigate the frequency of actionable secondary findings using GS data obtained from the rare disease study and the Korean Genome and Epidemiology Study (KoGES) in the National Project of Bio Big Data pilot study. Pathogenic (P) or likely pathogenic (LP) variants of 78 SF genes recommended by the American College of Medical Genetics and Genomics (ACMG) were screened in the rare disease study and KoGES. The pathogenicity of SF gene variants was determined according to the ACMG interpretation. The overall SF rate was 3.75% for 280 individuals with 298 P/LP variants of 41 ACMG SF genes which were identified among 7472 study participants. The frequencies of genes associated with cardiovascular, cancer, and miscellaneous phenotypes were 2.17%, 1.22%, and 0.58%, respectively. The most frequent SF gene was TTN followed by BRCA2. The frequency of actionable SFs among participants with rare disease and general population participants in the Korean population presented here will assist in reporting results of medically actionable SFs in genomic medicine.

Simultaneous magnetic resonance imaging of pH, perfusion and renal filtration using hyperpolarized 13C-labelled Z-OMPD.

pH alterations are a hallmark of many pathologies including cancer and kidney disease. Here, we introduce [1,5-13C2]Z-OMPD as a hyperpolarized extracellular pH and perfusion sensor for MRI which allows to generate a multiparametric fingerprint of renal disease status and to detect local tumor acidification. Exceptional long T1 of two minutes at 1 T, high pH sensitivity of up to 1.9 ppm per pH unit and suitability of using the C1-label as internal frequency reference enables pH imaging in vivo of three pH compartments in healthy rat kidneys. Spectrally selective targeting of both 13C-resonances enables simultaneous imaging of perfusion and filtration in 3D and pH in 2D within one minute to quantify renal blood flow, glomerular filtration rates and renal pH in healthy and hydronephrotic kidneys with superior sensitivity compared to clinical routine methods. Imaging multiple biomarkers within a single session renders [1,5-13C2]Z-OMPD a promising new hyperpolarized agent for oncology and nephrology.

Diflunisal Attenuates Virulence Factor Gene Regulation and Phenotypes in Staphylococcus aureus.

Virulence factor expression is integral to pathogenicity of Staphylococcus aureus. We previously demonstrated that aspirin, through its major metabolite, salicylic acid (SAL), modulates S. aureus virulence phenotypes in vitro and in vivo. We compared salicylate metabolites and a structural analogue for their ability to modulate S. aureus virulence factor expression and phenotypes: (i) acetylsalicylic acid (ASA, aspirin); (ii) ASA metabolites, salicylic acid (SAL), gentisic acid (GTA) and salicyluric acid (SUA); or (iii) diflunisal (DIF), a SAL structural analogue. None of these compounds altered the growth rate of any strain tested. ASA and its metabolites SAL, GTA and SUA moderately impaired hemolysis and proteolysis phenotypes in multiple S. aureus strain backgrounds and their respective deletion mutants. Only DIF significantly inhibited these virulence phenotypes in all strains. The kinetic profiles of ASA, SAL or DIF on expression of hla (alpha hemolysin), sspA (V8 protease) and their regulators (sigB, sarA, agr (RNAIII)) were assessed in two prototypic strain backgrounds: SH1000 (methicillin-sensitive S. aureus; MSSA) and LAC-USA300 (methicillin-resistant S. aureus; MRSA). DIF induced sigB expression which is coincident with the significant inhibition of RNAIII expression in both strains and precedes significant reductions in hla and sspA expression. The inhibited expression of these genes within 2 h resulted in the durable suppression of hemolysis and proteolysis phenotypes. These results indicate that DIF modulates the expression of key virulence factors in S. aureus via a coordinated impact on their relevant regulons and target effector genes. This strategy may hold opportunities to develop novel antivirulence strategies to address the ongoing challenge of antibiotic-resistant S. aureus.

Effects of advance care planning training on advanced practice nurse students' knowledge, confidence, and perception of end-of-life care: A mixed-method study.

AIMS: This study aimed to assess how an advance care planning training program affected advanced practice nursing students' knowledge, confidence and perception of end-of-life care in South Korea. BACKGROUND: Effective communication between healthcare providers, patients and their families is one of the most important components of quality end-of-life care. However, nurses in South Korea may feel uncomfortable helping patients and families with advance care planning because of the cultural taboo against talking about dying. DESIGN: A mixed-method design was used with data obtained from self-administered questionnaires at the onset and end of the advance care planning training program and qualitative data from participant feedback after the program. METHODS: Data collected from 65 advanced practice nursing students who participated in advance care planning training programs in June-July 2020 and 2021, conducted as part of a graduate clinical practice course, were analyzed. Data were originally collected to examine students' course outcomes. A training program was provided to advanced practice nursing students to improve their knowledge, confidence and perception in advance care planning conversations with their patients. The program comprised three sessions: online lectures, face-to-face simulations and discussions on advance care planning and ethical issues. Changes in advance care planning knowledge, confidence in supporting patients' advance directives, perceived nursing roles in end-of-life treatment decisions and perception of a good death were examined before and after the training. RESULTS: There were statistically significant increases in participants' advance care planning knowledge, confidence in supporting patients' advance directives and perception of the active role of nurses in patients' end-of-life treatment decisions after the training. CONCLUSIONS: The results indicate the effects of training programs on advanced practice nursing students' knowledge, confidence and perception of advance care planning communication. They also provide evidence about what contents and methods can be helpful in developing end-of-life care training for advanced practice nursing students.

Coagulant dosage determination using deep learning-based graph attention multivariate time series forecasting model.

Determination of coagulant dosage in water treatment is a time-consuming process involving nonlinear data relationships and numerous factors. This study provides a deep learning approach to determine coagulant dosage and/or the settled water turbidity using long-term data between 2011 and 2021 to include the effect of various weather conditions. A graph attention multivariate time series forecasting (GAMTF) model was developed to determine coagulant dosage and was compared with conventional machine learning and deep learning models. The GAMTF model (R2 = 0.94, RMSE = 3.55) outperformed the other models (R2 = 0.63 - 0.89, RMSE = 4.80 - 38.98), and successfully predicted both coagulant dosage and settled water turbidity simultaneously. The GAMTF model improved the prediction accuracy by considering the hidden interrelationships between features and the past states of features. The results demonstrate the first successful application of multivariate time series deep learning model, especially, a state-of-the-art graph attention-based model, using long-term data for decision-support systems in water treatment processes.

Topology- and wavelength-governed CO2 reduction photocatalysis in molecular catalyst-metal-organic framework assemblies.

Optimising catalyst materials for visible light-driven fuel production requires understanding complex and intertwined processes including light absorption and catalyst stability, as well as mass, charge, and energy transport. These phenomena can be uniquely combined (and ideally controlled) in porous host-guest systems. Towards this goal we designed model systems consisting of molecular complexes as catalysts and porphyrin metal-organic frameworks (MOFs) as light-harvesting and hosting porous matrices. Two MOF-rhenium molecule hybrids with identical building units but differing topologies (PCN-222 and PCN-224) were prepared including photosensitiser-catalyst dyad-like systems integrated via self-assembled molecular recognition. This allowed us to investigate the impact of MOF topology on solar fuel production, with PCN-222 assemblies yielding a 9-fold turnover number enhancement for solar CO2-to-CO reduction over PCN-224 hybrids as well as a 10-fold increase compared to the homogeneous catalyst-porphyrin dyad. Catalytic, spectroscopic and computational investigations identified larger pores and efficient exciton hopping as performance boosters, and further unveiled a MOF-specific, wavelength-dependent catalytic behaviour. Accordingly, CO2 reduction product selectivity is governed by selective activation of two independent, circumscribed or delocalised, energy/electron transfer channels from the porphyrin excited state to either formate-producing MOF nodes or the CO-producing molecular catalysts.

Optimal allocation and operation of sewer monitoring sites for wastewater-based disease surveillance: A methodological proposal.

Wastewater-based epidemiology (WBE) is drawing increasing attention as a promising tool for an early warning of emerging infectious diseases such as COVID-19. This study demonstrated the utility of a spatial bisection method (SBM) and a global optimization algorithm (i.e., genetic algorithm, GA), to support better designing and operating a WBE program for disease surveillance and source identification. The performances of SBM and GA were compared in determining the optimal locations of sewer monitoring manholes to minimize the difference among the effective spatial monitoring scales of the selected manholes. While GA was more flexible in determining the spatial resolution of the monitoring areas, SBM allows stepwise selection of optimal sampling manholes with equiareal subcatchments and lowers computational cost. Upon detecting disease outbreaks at a regular sewer monitoring site, additional manholes within the catchment can be selected and monitored to identify source areas with a required spatial resolution. SBM offered an efficient method for rapidly searching for the optimal locations of additional sampling manholes to identify the source areas. This study provides strategic and technical elements of WBE including sampling site selection with required spatial resolution and a source identification method.

Clinical Characteristics and Outcomes of Neutropenic Sepsis: A Multicenter Cohort Study.

BACKGROUND: Sepsis is a leading cause of mortality in patients with neutropenia; however, data on whether neutropenic sepsis is associated with distinct clinical characteristics and outcomes are limited. Thus, this study was designed to clarify the clinical characteristics and outcomes of patients with neutropenic sepsis compared with those of patients without neutropenic sepsis diagnosed based on the Third International Consensus Definitions for Sepsis and Septic Shock criteria. METHODS: We analyzed data from the Korean Sepsis Alliance, a nationwide prospective multicenter cohort study evaluating the clinical characteristics, management, and outcomes of patients with sepsis from September 2019 to February 2020. Eligible patients were divided into the neutropenic (absolute neutrophil count of less than 1,500/mL) and non- neutropenic groups. The characteristics and outcomes were compared between the two groups. RESULTS: During the study period, 2,074 patients were enrolled from 16 tertiary referral or university-affiliated hospitals. Of them, 218 (10.5%) had neutropenia. The neutropenia group was younger and had a lower proportion of patients with chronic diseases compared with the non-neutropenia group. However, solid tumors (50.0% vs. 34.1%; P  > 0.001) and hematological malignancies (40.8% vs. 3.8%; P  < 0.001) were more common in the neutropenia group. The neutropenia group had a higher incidence of septic shock (43.6% vs. 22.9%; P  < 0.001) and higher Sequential Organ Failure Assessment score (7 vs. 5; P  < 0.001) than the nonneutropenia group. However, no significant differences in microbiologically confirmed infections and its pathogen distribution and the incidence of multidrug resistance were observed between the two groups. The neutropenic group had a higher hospital mortality than the non-neutropenic group (42.2% vs. 26.3%; P  < 0.001), and the Kaplan-Meier survival curve demonstrated a significant difference in survival within 1 week after diagnosing sepsis (log-rank test, P = 0.002). The incidence of adverse events during intensive care unit admission was not different between the two groups. Among hospital survivors, the neutropenic group was more frequently discharged to home (72.2% vs. 57.8%; P = 0.002). CONCLUSIONS: Neutropenic sepsis is associated with a higher-grade organ dysfunction during the diagnosis of sepsis and higher mortality without difference in the pathogen isolated.

APB-F1, a long-acting feline granulocyte colony-stimulating factor fusion protein, created by exploiting FL335, a chimeric Fab specific for feline serum albumin.

Off-label use of a human granulocyte colony stimulating factor (hG-CSF) has been allowed to treat dogs and cats with neutropenia. However, repeated administration of hG-CSF induces undesirable anti-drug antibody (ADA) responses, implying the necessity of animal-derived G-CSF as a therapeutic reagent, preferably with a long-acting capability. Herein, we generated a recombinant fusion protein by genetically combining FL335, a chimeric Fab specific for feline serum albumin (FSA), and feline G-CSF (fG-CSF), with the ultimate goal of developing a long-acting therapeutic fG-CSF for cats. The resulting FL335-fG-CSF fusion protein, referred to as APB-F1, was produced well as a functional form in a Chinese hamster ovary (CHO) expression system. In in vitro analyses, APB-F1 bound to FSA at high affinity (KD = 400 pM) and possessed 0.78 × 107 U/mg G-CSF biological activity, clearly proving its biological functionality. Pharmacokinetic (PK) and pharmacodynamic (PD) studies using healthy cats revealed that the serum half-life (t1/2) of APB-F1 was increased five times compared with that of fG-CSF (t1/2 = 13.3 h vs. 2.7 h) in subcutaneous (SC) injections. Additionally, APB-F1 induced a profound and sustained increase in white blood cell (WBC) and actual neutrophil count (ANC) up to 10 days, which was far superior to other G-CSF preparations, including filgrastim (Neupogen™) and even pegfilgrastim (Neulasta™). Conclusively, a long-acting fG-CSF with potent in vivo bioactivity was successfully created by using FL335; thus, we provided evidence that our "anti-serum albumin Fab-associated" (SAFA) technology can be applied reliably in developing valuable long-acting biologics in veterinary medicine.

Advance care planning for older adults in community-based settings: An umbrella review.

BACKGROUND: Advance care planning (ACP) is critical to ensure better quality end of life care, and older adults are often a target of ACP. However, ACP interventions and their outcomes are neither standardised nor conclusive. OBJECTIVES: To synthesise existing ACP systematic reviews and identify the types and outcomes of ACP interventions for older adults in community-based settings. METHODS: An umbrella review of systematic reviews. The Joanna Briggs Institute Reviewer's Manual was followed. Relevant systematic reviews were searched by utilising bibliographic databases, grey literature sources, and manual searches between April and July, 2019. Nine systematic reviews met the inclusion criteria. Critical appraisal on the selected reviews was conducted. Data were independently extracted using a data extraction tool by two researchers and synthesised based on consensus. RESULTS: The systematic reviews suggest the critical features of ACP interventions for older adults in community-based settings including clinicians' face-to-face communication with patients and their family members, comprehensive and individualized decisional aids, a proper intensity of ACP interventions, and professional training. When categorising ACP outcomes according to Sudore et al.'s (Journal of Pain and Symptom Management, 55, 2018, 245) framework, action outcomes (e.g., documentation, discussion) were frequently measured with positive outcomes. Quality of care outcomes such as congruence with care preference and healthcare outcomes such as health status were not reported sufficiently. CONCLUSIONS: The reviews suggested essential features of ACP interventions, which were often omitted in ACP interventions for older adults. Although the outcomes were generally positive, it is inconclusive as to whether ACP interventions eventually improved quality of end of life care or health status of older adults in community-based settings. IMPLICATIONS FOR PRACTICE: For ACP interventions to be effective and comparable in their outcomes, we recommend adopting the key intervention components identified in this study. As the effects of ACP interventions are inconclusive, further investigations are warranted.

Feasibility of an Advance Care Planning Program (ACP) for Korean Community-Dwelling Older Adults and ACP Training of Advance Practice Nurses.

This study aimed to develop a locally suitable advance care planning (ACP) program for older community-dwelling adults and a training program for nurse facilitators in Korea, and to evaluate their feasibility from the facilitators' experiences. This was a mixed methods pilot study that assessed the feasibility of an ACP program by analyzing survey, checklist, and focus group interview data. The ACP program was named CLOSE (Communicating and Listening to Our Seniors' voices about End-of-life care). Home health care nurses (N = 9) participated in this study. The participants reported that CLOSE was applicable to older community-dwelling adults and the training program was useful for increasing facilitator competency. We suggest some lessons from this pilot study that can be used to improve the ACP program and encourage community health nurses to participate in ACP as facilitators.

The Acceptability and Effect of a Communication-Based Advance Care Planning Program for Older Adults.

This study was a preliminary study that assessed the acceptability of a communication-based advance care planning (ACP) intervention for older adults to improve decision making for treatment at the end of life. Twenty dyads were recruited, including patients who were older than 65 years and registered in a home health care center of a teaching hospital in South Korea and their surrogates. The intervention is a patient-centered ACP program with surrogates and a structured and guided discussion by home health care nurses as the trained interventionists. The acceptability of the intervention was assessed by a mixed method including a survey and a structured interview with participants. Findings in this study indicate that recruiting older adults with chronic diseases and their surrogates in a home health care center and conducting the intervention by home health care nurses is feasible. In addition, the outcomes of this study suggest that the intervention may have a potential impact on end-of-life care decision making for older adults in South Korea. A larger-scale trial is required to determine the effects of the ACP program when implemented with various groups. This study suggests that older adults need an ACP program as part of routine care.

Anteholosticha foissneri n. sp., a marine hypotrich ciliate (Ciliophora: Spirotrichea) from Vietnam: Morphology, morphogenesis, and molecular phylogeny.

In a study of marine ciliate diversity, we collected an Anteholosticha monilata-like population from Vietnam. To identify this population, we analyzed its morphology, some morphogenetic stages, and molecular phylogeny. Based on these data, we conclude that the Vietnamese population is new to science. Anteholosticha foissneri n. sp. resembles Anteholosticha monilata-like species considering (1) the number and arrangement of macronuclear nodules and micronuclei; (2) the presence of cortical granules; and (3) the saline habitat. However, the new species can be easily distinguished from these species by the arrangement, color, and shape of the cortical granules. The divisional morphogenesis commences with the de novo proliferation of basal bodies as a single longitudinal patch left of the posteriormost midventral cirral pair. This character state has not been reported before in Anteholosticha (based on check of the available data) and probably reflects a distinct clade within the nuclear small subunit ribosomal RNA gene tree.

An empirical modeling approach to predicting pollutant loads and developing cost-effective stormwater treatment strategies for a large urban watershed.

Stormwater treatment strategies were evaluated for the upper Ballona Creek Watershed in Los Angeles, CA using an empirical model of stormwater runoff quantity and quality with zeroth-order regularization and a limited memory Broyden-Fletcher-Goldfarb-Shanno Bound constrained optimization routine. The model used landuse based estimation on the runoff volume, event mean concentration (EMC) and pollutant load employing ten different landuses, including highways and local roads. The model was validated by showing that its predictions were in reasonable agreement (r2 ~0.6 to 0.8) with total zinc (Zn), Total Kjeldahl Nitrogen (TKN), and Total Suspended Solids (TSS) loadings measured at the monitoring site at the bottom of the watershed. The developed model was used to demonstrate and quantify the benefits of the stormwater treatment practices (STPs) prioritized at specific landuses with high pollutant mass emission rates. For this demonstration, total Zn was selected as it is one of the most concerning pollutants in an extremely urbanized area such as the Ballona Creek Watershed. Transportation landuse including local roads and highways was found to be the best candidate for the STP applications due to their high percent load contribution per percent area. By focusing STPs for transportation landuse, the water quality goal of total Zn in the study watershed was expected be achieved at approximately 75% less cost.

Bidirectional-nonlinear threshold switching behaviors and thermally robust stability of ZnTe selectors by nitrogen annealing.

Three-dimensional stackable memory frames involving the integration of two-terminal scalable crossbar arrays are expected to meet the demand for high-density memory storage, fast switching speed, and ultra-low power operation. However, two-terminal crossbar arrays introduce an unintended sneak path, which inevitably requires bidirectional nonlinear selectors. In this study, the advanced threshold switching (TS) features of ZnTe chalcogenide material-based selectors provide bidirectional threshold switching behavior, nonlinearity of 104, switching speed of less than 100 ns, and switching endurance of more than 107. In addition, thermally robust ZnTe selectors (up to 400 â„ƒ) can be obtained through the use of nitrogen-annealing treatment. This process can prevent possible phase separation phenomena observed in generic chalcogenide materials during thermal annealing which occurs even at a low temperature of 250 â„ƒ. The possible characteristics of the electrically and thermally advanced TS nature are described by diverse structural and electrical analyses through the Poole-Frankel conduction model.