Background: There have been numerous studies investigating the relationship between nonsuicidal self-injury (NSSI) and suicidality. On the one side, NSSI is an important risk factor for suicidality, including suicidal thoughts and behaviors. On the other side, it has been suggested that one function of NSSI might be as a coping mechanism that can help individuals in the short term avoid suicide. The present study investigated the relationship between suicidality and NSSI in female inpatient adolescents, focusing on NSSI as an antisuicide strategy. Methods: Subjects were 56 female adolescents, aged 12-18 years (M = 15.95 years, SD = 1.27), recruited from different inpatient child and adolescent psychiatric units. All participants fulfilled the DSM-5 research criteria for nonsuicidal self-injury disorder (NSSI-D). To assess suicidality, NSSI-D, and current and past diagnoses, a structured clinical interview was conducted. Results: NSSI as a short-term coping strategy for avoiding suicide was indicated by one third (32.1%) of the participants. Before participants engaged in NSSI, the anti-suicide function was reported more frequently than reducing interpersonal problems (d =-.59). Getting relief from negative emotions and inducing positive feelings were reported at the same frequency as avoiding suicide before NSSI. Participants engaging in NSSI to avoid suicide and those reporting other functions did not significantly differ regarding other NSSI characteristics, suicidality, or psychopathology. Results indicate that the anti-suicide function significantly predicts the duration of current suicidal ideation (b = .557). Conclusion: This study provides preliminary support for the idea that NSSI is frequently used by female adolescents with NSSI-D to avoid suicide. Given the high co-occurrence of NSSI and suicidality, our results underline the importance of clinical assessment of suicidality and several NSSI functions, including the anti-suicide function, in adolescents with NSSI.

Inverters are a leading source of hardware failures and contribute to significant energy losses at photovoltaic (PV) sites. An understanding of failure modes within inverters requires evaluation of a dataset that captures insights from multiple characterization techniques (including field diagnostics, production data analysis, and current-voltage curves). One readily available dataset that can be leveraged to support such an evaluation are maintenance records, which are used to log all site-related technician activities, but vary in structuring of information. Using machine learning, this analysis evaluated a database of 55,000 maintenance records across 800+ sites to identify inverter-related records and consistently categorize them to gain insight into common failure modes within this critical asset. Communications, ground faults, heat management systems, and insulated gate bipolar transistors emerge as the most frequently discussed inverter subsystems. Further evaluation of these failure modes identified distinct variations in failure frequencies over time and across inverter types, with communication failure occurring more frequently in early years. These patterns can inform ongoing PV system reliability activities, including simulation analyses, spare parts inventory management, cost estimates for operations and maintenance, and development of standards for inverter testing. Advanced implementations of machine learning techniques coupled with standardization of asset labels and descriptions can extend these insights into actionable information that can support development of algorithms for condition-based maintenance, which could further reduce failures and associated energy losses at PV sites. INDEX TERMS inverters, machine learning, natural language processing, photovoltaics, failures, weibull This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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Telocytes (TCs) are unique interstitial cells with a wide array of intercellular communication tools. They appear to be an integral part of interstitium of different organs, including the female genital organs. Immunohistochemistry of these cells shows that organ-specific phenotypes exist, and electronic microscopy proved occurrence of morphologically different types of TCs within one organ expecting variety functions. Ongoing research is starting to uncover possible roles of TCs in these organs like mechanical support of tissues, regulation of morphogenesis, regeneration of tissues, and maintaining of homeostasis through impact on neural, vascular and endocrine processes. Disturbation in their number or function leads to disruption of hormonal control and is related to cancer progression. This review offers an overview of available data as well as popular theories.