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Abstract The human cerebellum is activated by a wide variety of cognitive and motor tasks. Previous functional atlases have relied on single task-based or resting-state fMRI datasets. Here, we present a functional atlas that integrates information from seven large-scale datasets, outperforming existing group atlases. The atlas has three further advantages. First, the atlas allows for precision mapping in individuals: the integration of the probabilistic group atlas with an individual localizer scan results in a marked improvement in prediction of individual boundaries. Second, we provide both asymmetric and symmetric versions of the atlas. The symmetric version, which is obtained by constraining the boundaries to be the same across hemispheres, is especially useful in studying functional lateralization. Finally, the regions are hierarchically organized across three levels, allowing analyses at the appropriate level of granularity. Overall, the present atlas is an important resource for the study of the interdigitated functional organization of the human cerebellum in health and disease.

Little is known about work readiness skills among autistic adults. This study sought to address this by examining work readiness skills and their relation to vocational outcomes among 281 autistic young adults. It also examined perceived barriers and facilitators to employment as articulated by a subset of autistic adults. Results revealed a variegated work readiness profile. Stronger work readiness skills (particularly work style/adaptability) were associated with more favorable vocational outcomes. Autistic participants articulated both barriers and facilitators to employment related to the autism phenotype, job search/work readiness, and workplace education. These findings indicate the need for research on phenotype-driven vocational rehabilitation strategies as well as workplace psychoeducation/accommodations to support vocational outcomes for autistic adults.

Abstract Background Multiple clinician adjustable parameters impact upon glycemia in people with type 1 diabetes (T1D) using Medtronic Mini Med 780G (MM780G) AHCL. These include glucose targets, carbohydrate ratios (CR), and active insulin time (AIT). Algorithm-based decision support advising upon potential settings adjustments may enhance clinical decision-making. Methods Single-arm, two-phase exploratory study developing decision support to commence and sustain AHCL. Participants commenced investigational MM780G, then 8 weeks Phase 1-initial optimization tool evaluation, involving algorithm-based decision support with weekly AIT and CR recommendations. Clinicians approved or rejected CR and AIT recommendations based on perceived safety per protocol. Co-design resulted in a refined algorithm evaluated in a further identically configured Phase 2. Phase 2 participants also transitioned to commercial MM780G following “Quick Start” (algorithm-derived tool determining initial AHCL settings using daily insulin dose and weight). We assessed efficacy, safety, and acceptability of decision support using glycemic metrics, and the proportion of accepted CR and AIT settings per phase. Results Fifty three participants commenced Phase 1 (mean age 24.4; Hba1c 61.5mmol/7.7%). The proportion of CR and AIT accepted by clinicians increased between Phases 1 and 2 respectively: CR 89.2% vs. 98.6%, p

Abstract Background Depression significantly impacts recovery and return to daily activities in cardiac surgery patients. Assessing and managing depressive symptoms before and after surgery are crucial for improving surgical outcomes and timely return to daily activities, including work. The objectives of this study were to examine differences in patients’ depression levels in relation to their return to daily activities in the early post-cardiac surgery period, and to assess predictors of delayed return to daily activities. Methods This single-centered study assessed return to independence, social participation, hobbies, and work in 100 cardiac surgical patients at 2 and 6 weeks post-surgery. Associations between depression levels and return to daily activities scores were evaluated. Results Higher Center for Epidemiologic Studies Depression Scale (CES-D) scores were significantly associated with delayed return to daily activities in all categories at both 2 and 6 weeks post-surgery. Specifically, higher depression score delayed return to independence and social participation at 2 weeks, and delayed return to independence, social participation, and return to work at 6 weeks. Conclusion Elevated depression scores are significantly associated with delayed return to daily activities post-cardiac surgery, indicating the importance of evaluating depression in cardiac surgical patients in the postend stage-operative period.

Abstract The edges of stone tools have significant technological and functional implications. The nature of these edges–their sharpness, whether they are concave or convex, and their asymmetry–reflect how they were made and how they could be used. Similarly, blunt portions of a tool’s perimeter hint at how they could have been grasped or hafted and in which directions force could be applied. However, due to the difficulty in accurately measuring the complex 3D geometry of tool edges with traditional methods, their attributes are often overlooked. When they are analyzed, they have traditionally been assessed with visual qualitative categories or unreliable physical measurements. We introduce new computational 3D methods for automatically and repeatably measuring key attributes of stone tool edges. These methods allow us to automatically identify the 3D perimeter of tools, segment this perimeter according to changes in edge angles, and measure these discrete edge segments with a range of metrics. We test this new computational toolkit on a large sample of 3D models of handaxes from the later Acheulean of the southern Levant. Despite these handaxes being otherwise technologically and morphologically similar, we find marked differences in the amount of knapped outline, edge angle, and the concavity of their edges. We find many handaxes possess blunt portions of perimeter, suitable for grasping, and some handaxes even possess more than one discrete sharp edge. Among our sample, sites with longer occupations and more diverse toolkits possessed handaxes with more diverse edges. Above all, this paper offers new methods for computing the complex 3D geometry of stone tool edges that could be applied to any number of artifact types. These methods are fully automated, allowing the analysis and visualization of entire assemblages.

Abstract Introduction The objective of the study was to assess the effects of high-reliability system by implementing a command centre (CC) on clinical outcomes in a community hospital before and during COVID-19 pandemic from the year 2016 to 2021. Methods A descriptive, retrospective study was conducted at an acute care community hospital. The administrative data included monthly average admissions, intensive care unit (ICU) admissions, average length of stay, total ICU length of stay, and in-hospital mortality. In-hospital acquired events were recorded and defined as one of the following: cardiac arrest, cerebral infarction, respiratory arrest, or sepsis after hospital admissions. A subgroup statistical analysis of patients with in-hospital acquired events was performed. In addition, a subgroup statistical analysis was performed for the department of medicine. Results The rates of in-hospital acquired events and in-hospital mortality among all admitted patients did not change significantly throughout the years 2016 to 2021. In the subgroup of patients with in-hospital acquired events, the in-hospital mortality rate also did not change during the years of the study, despite the increase in the ICU admissions during the COVID-19 pandemic.Although the in-hospital mortality rate did not increase for all admitted patients, the in-hospital mortality rate increased in the department of medicine. Conclusion Implementation of CC and centralized management systems has the potential to improve quality of care by supporting early identification and real-time management of patients at risk of harm and clinical deterioration, including COVID-19 patients.

Background: Malignant gliomas represent a heterogenous group of brain cancers that are characterized by infiltrative growth that lacks a clearly identifiable tumor border. The lack of the possibility of radical surgical resection and targeted therapy results in a poor prognosis. Although Temozolomide (TMZ) is still the leading chemotherapeutic agent in glioma treatment, its efficacy is limited due to the development of tumor resistance. Therefore, there an urgent need to improve the diagnosis and treatment of these tumors. Finding and developing biomarkers that are specific to glioma could be useful for both identifying therapy targets and monitoring treatment as well as for constructing a personalized therapy. However, there are still no reliable markers that would change the quality of glioma treatment. Methods: In this study, differences in the expression of 84 cancer-related proteins in three glioma cell lines were analyzed using the dot-blot method: commercial T98G cells and two patient-derived cell lines. The influence of TMZ on changes in protein expression, cell morphology, and migration was also investigated (Proteome Profiler Human XL Oncology Array, LeviCell System, Microscopic imaging). The lines that were analyzed were characterized by a remarkably different plasticity of protein expression and the proteomic alterations that were induced by TMZ. Results: A dot-blot analysis revealed ten proteins that were common to all of the lines and five (Cathepsin b, FGF, Survivin, AXL, Osteopontin) that were modulated by the TMZ. As a result of the exposure of TMZ, the proteins that are involved in chemoresistance and invasion (TIE-2, Thrombospondin) were detected in both the HROG02 and T98G cell lines. In the control culture (not exposed to TMZ) of HROG17 cells, the proteins that are involved in metabolism were strongly suppressed. Conclusions: The presented data sheds new light on the modulatory effect of Temozolomide on the expression of a protein panel: Cathepsin b, fibroblast growth factor (FGF), Survivin, AXL, and Osteopontin that may suggest their potential as therapeutic targets or biomarkers to monitoring therapy effects. However, further high-throughput analysis and detection of the proteins in the body fluids are necessary.

Introduction Sepsis alerts based on laboratory and vital sign criteria were found insufficient to improve patient outcomes. While most early sepsis alerts were implemented into smaller scale operating systems, a centralized new approach may provide more benefits, overcoming alert fatigue, improving deployment of staff and resources, and optimizing the overall management of sepsis. The objective of the study was to assess mortality and length of stay (LOS) trends in emergency department (ED) patients, following the implementation of a centralized and automated sepsis alert system. Methods The automated sepsis alert system was implemented in 2021 as part of a hospital-wide command and control center. Administrative data from the years 2018 to 2021 were collected. Data included ED visits, in-hospital mortality, triage levels, LOS, and the Canadian Triage and Acuity Scale (CTAS). Results Mortality rate for patients classified as CTAS I triage level was the lowest in 2021, after the implementation of the automated sepsis alert system, compared to 2020, 2019, and 2018 ( p

Aims: This study aimed at examining coach-athlete violence based on the retrospective reports of adults who had been athletes as children and adolescents; predict variables that contribute to the existence of such violence; describe difficulties that the participants encountered as young athletes following such violence; and reveal the outcomes of such violence on their emotions and behaviors, in the past and present. Methodology: The applied mixed methods comprised quantitative self-reporting questionnaires and qualitative interviews. The former included 440 participants (mean age 27.6) who had trained for at least one year in a sports union youth department; the latter included 14 participants (aged 23–37). These competitive athletes came from eight branches of sports. The interviews were analyzed based on the Narrative Approach. Results: According to the quantitative study, all participants had experienced coach violence at least once during their career, mainly psychological violence and neglect, followed by physical violence. Sexual violence was least reported. The age of their retirement from sports and the number of coaches that they had had were significant predictors of violence. Thematic analysis of the qualitative interviews resulted in six types of coach-athlete violence: (1) psychological violence; (2) verbal violence; (3) starvation and food fattening; (4) non-proportional punishing; (5) physical violence; and (6) sexual violence. Conclusions: It is vital that coach-athlete violence is addressed in public discourse, that the topic of young athletes’ safety is introduced into coaching education, and that a position holder is nominated to be in charge of such safety in all sports organizations.

This study investigated motor preparation and action-consequence prediction using the lateralized readiness potential (LRP). Motor impairments are common in autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), which commonly co-occur. Alterations in predictive processes may impact motor planning. Whether motor planning deficits are characteristic of ASD broadly or magnified in the context of co-morbid ADHD is unclear. ASD children with (ASD + ADHD; n = 12) and without (ASD - ADHD; n = 9) comorbid ADHD and typical controls (n = 29) performed voluntary motor actions that either did or did not result in auditory consequences. ASD - ADHD children demonstrated LRP enhancement when their action produced an effect while ASD + ADHD children had attenuated responses regardless of action-effect pairings. Findings suggest influence of ADHD comorbidity on motor preparation and prediction in ASD.

Abstract Ancient rock engravings evoke the interest of archeologists and art historians as an important remnant of human cultures. Traditionally, engraved images are studied based on iconography, iconology, and stylistic characteristics, with little emphasis on execution technology. In contrast, the research method presented in this study strives to characterize the techniques adopted for making rock engravings in ancient times, with technological variations considered as indicators of the engraver’s production process. 3-D scans of two ancient engravings and contemporary graffiti were obtained from Site 25 in Timna Park, Southern Israel. The models were analyzed with ArchCUT3-D, a software specifically developed to precisely evaluate the 3-D micromorphological characteristics of the incisions making up the engraving. The software analyzes the surface micromorphology by extracting 3-D slices of the incisions using an accurate and repeatable method. Our results indicate that different incisions were executed by remarkably distinct techniques of stroking the rock surface with a sharp tool. The identification of discriminant characteristics enabled us to demonstrate the particularities of the engraving operations, such as ergonomic conditions and the level of consistency of the engraving gesture. ArchCUT3-D thus provides a computational method for incision technique recognition through micromorphology specifications, and the reconstruction of engraving gestures and individual production procedures.

'The wheel and axle' revolutionized human technological history by transforming linear to rotary motion and causing parts of devices to move. While its ancient origins are commonly associated with the appearance of carts during the Bronze Age, we focus on much earlier wheel-shaped find-an exceptional assemblage of over a hundred perforated pebbles from the 12,000-year-old Natufian village of Nahal Ein-Gev II, Israel. We analyze the assemblage using 3D methodologies, incorporating novel study applications to both the pebbles and their perforations and explore the functional implications. We conclude that these items could have served as spindle whorls to spin fibres. In a cumulative evolutionary trend, they manifest early phases of the development of rotational technologies by laying the mechanical principle of the wheel and axle. All in all, it reflects on the technological innovations that played an important part in the Neolithization processes of the Southern Levant.

The combined foundation plates, having circular form and consisting of several parts which have different laws of thickness variation, are under study. The constructions under examination are subjected to an action of antisymmetric load distributed along circumferences according to the laws or . Similar problems occur in the cases of seismic and wind loads. The interaction with elastic foundation is taking into account. The conditions of the construction’s different parts conjugation are fulfilled. In this work for solution of such problems the analytical approach is used for the first time. The method of compensating loads (MCL) is applied. The solutions are obtained in closed form in terms of Bessel functions. As an example the foundation plate, consisting of two parts, is considered in detail. The inner part of the slab under study has the variable thickness, the outer one has the constant thickness.

Coronavirus disease 2019 (COVID-19) is a newly emerging human infectious disease that continues to develop new variants. A crucial step in the quest to reduce the infection is the development of rapid and reliable virus detectors. Here, we report a chip scale photonic sensing device consisting of a silicon-nitride double microring resonator (MRR) for detecting SARS-CoV-2 in clinical samples. The sensor is implemented by surface activation of one of the MRRs, acting as a probe, with DNA primers for SARS-CoV-2 RNA, whereas the other MRR is used as a reference. The performance of the sensor is determined by applying different amounts of SARS-CoV-2 complementary RNA. As will be shown in the paper, our device detects the RNA fragments at concentrations of 10 cp/μL and with sensitivity of 750 nm/RIU. As such, it shows a promise toward the implementation of label-free, small form factor, CMOS compatible biosensor for SARS-CoV-2, which is also environment, temperature, and pressure independent. Our approach can also be used for detecting other SARS-CoV-2 genes, as well as other viruses and pathogens.