Sep 2026· Chinese Neurosurgical Journal· 8 references
Glioma Diagnosis and TreatmentTraumatic Brain Injury and Neurovascular Disturbances
Abstract
Abstract Background To descriptively evaluate short-term (48–72 h postoperatively) neurological functional outcomes in patients undergoing awake craniotomy for intracranial lesions located within eloquent brain areas, and conduct univariate exploratory analyses of clinical factors correlated with acute postoperative neurological deterioration. Secondary exploratory survival analyses are included solely for hypothesis generation; all survival-related findings carry no definitive clinical prognostic interpretation given the study’s critical limitations of small sample size, pathological heterogeneity, absent long-term functional follow-up, and missing key perioperative covariates. Methods A single-center descriptive retrospective analysis was performed on 30 patients who received awake craniotomy between January 2019 and November 2024. The primary predefined endpoint was new or exacerbated neurological deficits within 48–72 h after surgery, quantified via Karnofsky Performance Status (KPS), Glasgow Coma Scale (GCS), Mini-Mental State Examination (MMSE), and manual muscle strength testing. Early postoperative dysfunction was categorized into three distinct phenotypes: transient global systemic functional decline, focal motor neurological deficits, and isolated language impairment (aphasia). Secondary exploratory endpoints included overall survival and all-cause mortality, with follow-up completed by February 28, 2025. Univariate logistic regression screened correlates of acute neurological decline; Kaplan–Meier survival curves, log-rank subgroup comparisons, and Cox proportional hazards regression were applied for exploratory survival modeling. All survival analyses are interpreted as purely descriptive and hypothesis-generating, with no confirmatory clinical value; the specific constraints are addressed in the Limitations section. Results The cohort contained 30 patients, with an awake craniotomy intraoperative mapping completion rate of 90.0% (27/30). Within 48–72 h postoperatively, 30.0% (9/30) of patients developed new or aggravated acute neurological dysfunction. Most acute impairments reflected transient global functional decline, including KPS reduction (30.0%) and MMSE cognitive decline (26.7%), while permanent focal injury surrogates (new motor weakness 16.7%; new-onset aphasia 10.0%) were far less frequent. We emphasize that early KPS/MMSE reductions largely stem from temporary perioperative cerebral edema, postoperative fatigue, and residual sedation recovery rather than irreversible focal brain injury. Patients with successful intraoperative awake mapping exhibited a numerically lower rate of acute neurological decline (25.9%) versus patients with mapping failure (66.7%), though this trend did not reach statistical significance ( P = 0.20). Univariate logistic regression identified no statistically significant independent predictors of acute postoperative neurological deficits. Median overall survival for the entire cohort was 43.0 months; all subgroup survival comparisons and Cox regression hazard models yielded non-significant results, with no reliable prognostic factors identified in this limited cohort. Conclusions Awake craniotomy combined with direct electrical stimulation mapping is technically feasible and effectively limits permanent language dysfunction in patients with eloquent cortex lesions. Transient short-term global functional deterioration is common in the immediate postoperative window, driven by reversible perioperative physiological disturbances rather than definitive surgical neurological injury. Owing to the retrospective single-center design, small sample size, heterogeneous intracranial pathology, absence of long-term (≥ 3-month) functional outcome assessments, lack of a general anesthesia control group, and unmeasured critical covariates (including extent of resection), all survival and mortality-related analyses are strictly exploratory and cannot support clinical prognostic judgements. Large, pathology-stratified controlled prospective studies incorporating serial long-term neurological evaluations are required to validate definitive risk factors and long-term functional benefits of awake craniotomy.
Software startups are newly created companies with no operating history and oriented towards producing cutting-edge products. However, despite the increasing importance of startups in the economy, few scientific studies attempt to address software engineering issues, especially for early-stage startups. If anything, startups need engineering practices of the same level or better than those of larger companies, as their time and resources are more scarce, and one failed project can put them out of business. In this study we aim to improve understanding of the software development strategies employed by startups. We performed this state-of-practice investigation using a grounded theory approach. We packaged the results in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible. This strategy allows startups to verify product and market fit, and to adjust the product trajectory according to early collected user feedback. The need to shorten time-to-market, by speeding up the development through low-precision engineering activities, is counterbalanced by the need to restructure the product before targeting further growth. The resulting implications of the GSM outline challenges and gaps, pointing out opportunities for future research to develop and validate engineering practices in the startup context.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 179 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models. Software startup ...
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
In the context of software startups, project failure is embraced actively and considered crucial to obtain validated learning that can lead to pivots. A pivot is the strategic change of a business concept, product or the different elements of a business model. A better understanding is needed on different types of pivots and different factors that lead to failures and trigger pivots, for software entrepreneurial teams to make better decisions under chaotic and unpredictable environment. Due to the nascent nature of the topic, the existing research and knowledge on the pivots of software startups are very limited. In this study, we aimed at identifying the major types of pivots that software startups make during their startup processes, and highlighting the factors that fail software projects and trigger pivots. To achieve this, we conducted a case survey study based on the secondary data of the major pivots happened in 49 software startups. 10 pivot types and 14 triggering factors were identified. The findings show that customer need pivot is the most common among all pivot types. Together with customer segment pivot, they are common market related pivots. The major product related pivots are zoom-in and technology pivots. Several new pivot types were identified, including market zoom-in, complete and side project pivots. Our study also demonstrates that negative customer reaction and flawed business model are the most common factors that trigger pivots in software startups. Our study extends the research knowledge on software startup pivot types and pivot triggering factors. Meanwhile it provides practical knowledge to software startups, which they can utilize to guide their effective decisions on pivoting.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
In the context of cloud computing, risks associated with underlying technologies, risks involving service models and outsourcing, and enterprise readiness have been recognized as potential barriers for the adoption. To accelerate cloud adoption, the concrete barriers negatively influencing the adoption decision need to be identified. Our study aims at understanding the impact of technical and security-related barriers on the organizational decision to adopt the cloud. We analyzed data collected through a web survey of 352 individuals working for enterprises consisting of decision makers as well as employees from other levels within an organization. The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability. The result from our logistic regression analysis confirms the criticality of the security concern, which results in an up to 26-fold increase in the non-adoption likelihood. Our study underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
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Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9