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Lean management is a way to satisfy the increasing customer demands while maintaining production efficiency. This paper aims to map and analyze the level of use of lean management methods in the manufacturing industry in the Czech Republic. It searched for links and dependencies between company size, production type, and lean management methods in operational processes. The data were obtained from a nationwide survey within the manufacturing industry companies and were presented using descriptive statistics. A structured questionnaire was sent to 469 manufacturing companies with a return rate of 18.8%. Nonparametric statistical analysis (Fisher’s exact test) was used to confirm or reject the hypotheses. The research results confirmed the dependence of lean management methods on company size and production type. Lean management methods are used mainly by large enterprises, while micro- and small enterprises rarely employ them. Considering production typology, lean management is applied in serial production, and Single Minute Exchange of Dies (SMED) prevails. The most used techniques in mass production include the method of order in the workplace (5S) and Kaizen. The findings suggest that the future of industrial output should focus on sustainability and rationalization of production resources, which is offered by the synergy of lean management and Industry 5.0. AcknowledgmentThis paper is co-financed by IGA/FLKR/2023/002 Rationalization and Sustainability of Resources in Production-Logistics Processes the Czech Republic and RVO/FLKŘ/2024/01 Logistic Systems Safety.

Introduction: Pennsylvania's Student Assistance Program (SAP) began in the mid-1980s to address student barriers to academic success. SAP teams, groups of trained school and community professionals, review referrals, and connect students to services. State leadership conducts an annual SAP team survey, but capacity to evaluate data and affect change is limited. In 2020, leadership partnered with [institution name] to collaboratively review the survey data. Methods: Frequencies and percentages were calculated. Open responses were coded. Logistic regression models evaluated the association between SAP team size, team meeting frequency, and team maintenance. Results: The 2019 to 2020 survey had 1003 respondents. Median number of SAP team members was 8 (range 1-21). The majority (54%) indicated their SAP team met once per week/cycle for 30 to 90+ minutes. Larger teams met more often. Annual team maintenance occurred for 38% of teams, and was more common for larger teams. SAP team members identified mental health (68%), trauma (44%), and parent engagement (36%) as top training needs. Conclusions: An academic partnership successfully provided the capacity to review SAP survey responses, and informed evidenced-based discussion of best practice guidelines and realignment of staff professional development opportunities.

Background: The whole school, whole community, whole child (WSCC) model suggests wellness councils, ongoing review of wellness policy, and a plan for evaluating set objectives are some of the key features needed to support school wellness infrastructure. This study explored the relationship between implementation of these infrastructure features and overall school wellness environment assessment scores among a sampling of Pennsylvania schools. Methods: The Healthy Champions program provides Pennsylvania schools an opportunity to self-assess their wellness environments across several school wellness topics. Staff enrolled their school in the program by completing a self-report electronic assessment. Enrollment data from the 2020/2021 program year were analyzed using the Kruskal-Wallis test and linear fixed model to identify the impact of varied implementation levels across 3 wellness infrastructure activities. Interactions between these variables and overall assessment score were also analyzed. Results: Of the 645 Pennsylvania schools enrolled and analyzed, we observed higher mean wellness environment assessment scores ([delta] 0.74 95% CI 0.40-1.07; p < 0.001) among schools that reported some frequency of all 3 wellness infrastructure activities, compared to schools that reported no frequency for the activities. Implications: Schools with existing policies and practices related to the 3 wellness infrastructure activities should consider the degree of implementation to best support overall wellness in their school setting. Additional research to explore implementation barriers and supports is needed. Conclusions: Analyses indicated that overall wellness environment assessment scores are impacted by implementation thresholds for wellness council meeting frequency, revision of wellness policy, and review of student health promotion objectives.

Drawing on a contemporary construction of rurality, which acknowledges rural education amplified by technology, we capture two examples where online mathematics resources were used in a rural middle school setting. As such we examine issues and consider rural education access as it is changed with technology towards a more nuanced understanding of rural contexts necessary to inform future rural education policy, practice, and research.

The submitted paper points to a problem that concerns the Czech Republic and almost all of Europe. There is a need for more qualified employees across the Labour market. The author's team set the goal of mapping the spa industry situation in the Czech Republic through a nationwide questionnaire survey. The paper aimed to identify the specifics of the lack of staff in spa facilities in the Czech Republic. Based on the results of the analysis, propose measures that can lead to improvement. The Chi-square test and Cramer's coefficient were used to verify the statistical dependencies.

IntroductionSequelae from traumatic brain injuries (TBIs) and post-traumatic stress disorder (PTSD) are major career-limiting factors for combat soldiers. Overlap between TBI and PTSD symptoms alongside other common comorbidities complicate the diagnosis and treatment. Systems-level and high-throughput approaches are key in understanding the underlying biomolecular mechanisms and differentiating these conditions.MethodsThe present study identifies dietary factors and proposes mechanisms behind psychological stress and TBI, using established preclinical animal models and a multi-omics approach. Here, we used microbiome characterizations of rats exposed to simulations of blast-induced TBI and underwater trauma (UWT)-induced psychological stress. We further studied the effect of dietary omega-6 versus omega-3 polyunsaturated fatty acid (n-6, n-3 PUFA) enrichment on the insult responses. The use of excess n-6 PUFA was chosen due to its high prevalence in the Western diet and pro-inflammatory nature. Prior to TBI or UWT, animals were maintained for 6 weeks and continued thereafter on either a standard diet or two customized chows imbalanced and diminished in omega-3 content. Corresponding shams were carried out for all groups. Fecal bacterial microbiome populations were assessed using 16S rRNA gene sequencing.ResultsPhysiologic outcome modeling identified that dietary status affected post-TBI lactate dehydrogenase (LDH) and triglyceride levels, with n-3 PUFA having a large attenuating influence. The UWT model showed similar trends, with diet significantly altering LDH, terminal corticosterone (14 days post-exposure), and a fear behavior susceptibility. Fecal microbiome alpha diversity was significantly reduced by high levels of n-3 PUFA. Likewise, beta diversity of the microbiome was significantly affected by both diet and time but not exposure to TBI or UWT. Compositionally, temporal effects on the microbiome were more likely to be observed with the diets. The most affected features fell within the Proteobacteria phyla, in which n-3 PUFA enrichment significantly reduced Alphaproteobacteria in the TBI model and increased Gammaproteobacteria in the UWT group.DiscussionAll these observations can influence the vulnerability or resilience of the warfighter to blast-induced TBI and acute psychological stress. The microbiome mechanisms facilitate and provide a knowledge-driven unbiased panel of signatures to discriminate between the two insults and is an essential tool for designing precise care management.

Scant research has explored the healthcare experiences of people with Down syndrome (DS) in the United States who are Black, African American, of African descent, or of mixed race. The purpose of this study was to identify and describe the barriers and facilitators that such patients and their caregivers face when accessing healthcare. We gathered data in three ways: focus groups with caregivers, a national survey completed by caregivers, and in-depth interviews with primary care providers. Many caregivers and primary care physicians felt that patients with DS who are Black, African American, of African descent, or of mixed race receive a lower quality of medical care than their white counterparts with DS. Caregivers mentioned feeling tired of being reminded by the medical community about their race and wanting acknowledgment that raising a child with DS can be hard at times. Many felt that the medical communitys conscious and unconscious racial biases do negatively impact the care of their loved ones with DS. Caregivers desired more race concordant medical providers or, when not possible, medical providers who are willing to learn more about DS and build trusted, longitudinal relationships. Primary care providers discussed the need for funded resources and support services to effectively care for their patients with DS.

Abstract The flat bands in magic-angle twisted bilayer graphene (MATBG) provide an especially rich arena to investigate interaction-driven ground states. While progress has been made in identifying the correlated insulators and their excitations at commensurate moiré filling factors, the spin-valley polarizations of the topological states that emerge at high magnetic field remain unknown. Here we introduce a technique based on twist-decoupled van der Waals layers that enables measurement of their electronic band structure and–by studying the backscattering between counter-propagating edge states–the determination of the relative spin polarization of their edge modes. We find that the symmetry-broken quantum Hall states that extend from the charge neutrality point in MATBG are spin unpolarized at even integer filling factors. The measurements also indicate that the correlated Chern insulator emerging from half filling of the flat valence band is spin unpolarized and suggest that its conduction band counterpart may be spin polarized.

Human activities are rapidly changing ecosystems around the world. These changes have widespread implications for the preservation of biodiversity, agricultural productivity, prevalence of zoonotic diseases, and sociopolitical conflict. To understand and improve the predictive capacity for these and other biological phenomena, some scientists are now relying on observatory networks, which are often composed of systems of sensors, teams of field researchers, and databases of abiotic and biotic measurements across multiple temporal and spatial scales. One well-known example is NEON, the US-based National Ecological Observatory Network. Although NEON and similar networks have informed studies of population, community, and ecosystem ecology for years, they have been minimally used by organismal biologists. NEON provides organismal biologists, in particular those interested in NEONs focal taxa, with an unprecedented opportunity to study phenomena such as range expansions, disease epidemics, invasive species colonization, macrophysiology, and other biological processes that fundamentally involve organismal variation. Here, we use NEON as an exemplar of the promise of observatory networks for understanding the causes and consequences of morphological, behavioral, molecular, and physiological variation among individual organisms.

Background: The Student Assistance Program (SAP) is mandated kindergarten to 12th grade in Pennsylvania schools to address barriers to student academic success. Following student referral, SAP teams use a systematic process to inform recommendations for school or community-based services. To evaluate program outcomes, a review of student SAP referral trends over a 5-year period was undertaken. Methods: The Pennsylvania Network for Student Assistance Services (PNSAS), the state leadership providing oversight of SAP, partnered with Penn State College of Medicine in a retrospective analysis of student referral data from 2013 to 2018. Public school enrollment demographics were used for comparison. Frequencies and percentages were calculated. Results: Referrals (total n = 352,640) increased by 24% over the 5 years; demographics 55% male, 69% non-Hispanic white, 16% non-Hispanic black, and 10% Hispanic. Referrals were most commonly for behavioral concerns (31%). Discontinued referrals (39%) were primarily for parent refusal/no permission. Trends included rising minority and elementary referrals over the study period. Conclusions: SAP referral demographics were consistent with state public school enrollment race/ethnicity breakdown suggesting lack of systematic bias. The proportion of behavioral referrals was consistent with rising youth behavioral health needs. PNSAS must consider strategies to support rising referral numbers and trends.

Effective disaster risk reduction measures are vital to coastal communities around the world. While nature-based solutions provide coastal communities with a promising alternative to traditional engineering-based solutions; these solutions are often overlooked by communities when planning and implementing disaster risk reduction measures. This study builds upon the literature that demonstrates the effectiveness of coral reef conservation to mitigate coastal flood risk. Our approach utilizes freely available tools and data to quantify the economic value of coral reef conservation for the Hawaiian Islands. We explore a scenario that depicts coastal flooding if the upper 1 m of the coral reef were to be lost. The study analyzes the Average Annual Loss (AAL) and losses avoided based on a series of 4 coastal flood scenario return periods with and without coral reefs. This case study finds that the preservation of the upper 1 m of coral reefs for the main islands of Hawaiʻi provides the state with $629 million in annual losses avoided to buildings. A hot spot analysis of the losses avoided identifies areas where conservation efforts could be prioritized. Our findings provide additional support to the use of nature-based solutions as an effective disaster risk reduction measure, and provides communities and stakeholders with a methodology that can be implemented using readily available data and tools.

Purpose: Sinonasal undifferentiated carcinoma (SNUC) is a rare, aggressive malignancy of the sinonasal cavity with poor prognosis and limited treatment options. To investigate the potential for SNUC sensitivity to combinatory immunotherapy, we performed in vitro studies with SNUC cell lines and used multi-spectral immunofluorescence to characterize the in vivo patient SNUC tumor immune microenvironment (TIME). Experimental design: Human-derived SNUC cell lines were used for in vitro studies of tumor cell susceptibility to natural killer (NK) cell-based immunotherapeutic strategies. Tumor samples from 14 treatment naïve SNUC patients were examined via multi-spectral immunofluorescence and clinical correlations assessed. Results: Anti-PD-L1 blockade enhanced NK cell lysis of SNUC cell lines ∼5.4 fold (P ≤ 0.0001). This effect was blocked by a CD16 neutralizing antibody demonstrating activity through an antibody-dependent cellular cytotoxicity (ADCC) mediated pathway. ADCC-dependent lysis of SNUC cells was further enhanced by upregulation of PD-L1 on tumor cells by exogenous interferon-gamma (IFN-γ) administration or interleukin-15 (IL-15) stimulated IFN-γ release from NK cells. Combination treatment with anti-PD-L1 blockade and IL-15 superagonism enhanced NK-cell killing of SNUC cells 9.6-fold (P ≤ 0.0001). Untreated SNUC patient tumor samples were found to have an NK cell infiltrate and PD-L1+ tumor cells at a median of 5.4 cells per mm2. A striking 55.7-fold increase in CKlow tumor cell/NK cell interactions was observed in patients without disease recurrence after treatment (P = 0.022). Patients with higher CD3+CD8+ in the stroma had a significantly improved 5-year overall survival (P = 0.0029) and a significant increase in CKlow tumor cell/CD8+ cytotoxic T cell interactions was noted in long-term survivors (P = 0.0225). Conclusion: These data provide the pre-clinical rationale for ongoing investigation into combinatory immunotherapy approaches for SNUC.

The process of energy decarbonization in island power systems is accelerated due to the swift integration of inverter-based renewable energy resources (IBRs). The unique features of such systems, including rapid frequency changes resulting from potential generation outages or imbalances due to the unpredictability of renewable power, pose a significant challenge in maintaining the frequency nadir without external support. This paper presents a unit commitment (UC) model with data-driven frequency nadir constraints, including either frequency nadir or minimum inertia requirements, helping to limit frequency deviations after significant generator outages. The constraints are formulated using a linear regression model that takes advantage of real-world, year-long generation scheduling and dynamic simulation data. The efficacy of the proposed UC model is verified through a year-long simulation in an actual island power system using historical weather data. The alternative minimum inertia constraint, derived from actual system operation assumptions, is also evaluated. Findings demonstrate that the proposed frequency nadir constraint notably improves the system’s frequency nadir under high photovoltaic (PV) penetration levels, albeit with a slight increase in generation costs, when compared to the alternative minimum inertia constraint.

Acest document oferă o recomandare comună a Federației Europene de Chimie Clinică și Medicină de Laborator (EFLM), Grupului de lucru pentru faza preanalitică (WG-PRE) și Grupului de lucru din America Latină pentru Faza preanalitică (WG-PRE-LATAM) al Confederației Americii Latine de Biochimie Clinică (COLABIOCLI) pentru recoltarea sângelui venos. Documentul oferă îndrumări asupra cerințelor pentru asigurarea faptului că procedura de recoltare a sângelui este una sigură, centrată pe pacient și oferă îndrumări practice despre cum să fie depășite cu succes potențiale bariere și obstacole în calea difuzării și implementării ei. Publicul țintă pentru această recomandare este personalul medical implicat direct în procesul de recoltare a sângelui. Această recomandare se aplică în cazul utilizării unui sistem închis de recoltare a sângelui și nu oferă recomandări pentru recoltarea sângelui cu seringi și catetere în sistem deschis. Mai mult, acest document nu abordează obținerea consimțământului pacientului, solicitarea testelor, manipularea și transportul probelor și nici recoltarea de la copii și pacienții inconștienți. Procedura recomandată se bazează pe cele mai bune dovezi disponibile. Fiecare pas a fost evaluat folosind un sistem care punctează calitatea dovezilor și puterea recomandării. Procesul de evaluare a fost realizat la mai multe întâlniri față în față implicând aceleași părți interesate menționate anterior. Principalele părți ale acestei recomandări sunt: 1) Proceduri de pre-recoltare, 2) Procedura de recoltare, 3) Proceduri de post-recoltare şi 4) Implementarea. O primă schiță a recomandării a fost transmisă membrilor EFLM pentru consultare publică. A fost invitat și WG-PRE-LATAM pentru a comenta documentul. O versiune revizuită a fost trimisă spre vot tuturor membrilor EFLM și COLABIOCLI și a fost aprobată oficial de 33 dintre cei 40 de membri EFLM și toți membri COLABIOCLI. Încurajăm profesioniștii din toată Europa şi America Latină să adopte şi să implementeze această recomandare pentru a îmbunătăți calitatea practicilor de recoltare a sângelui și creșterea siguranței pacientului și personalului medical.

Microorganisms that colonize in or on a host play significant roles in regulating the host’s immunological fitness and bioenergy production, thus controlling the host’s stress responses. Radiation elicits a pro-inflammatory and bioenergy-expensive state, which could influence the gut microbial compositions and, therefore, the host–microbe bidirectional relationship. To test this hypothesis, young adult mice were exposed to total body irradiation (TBI) at doses of 9.5 Gy and 11 Gy, respectively. The irradiated mice were euthanized on days 1, 3, and 9 post TBI, and their descending colon contents (DCCs) were collected. The 16S ribosomal RNAs from the DCCs were screened to find the differentially enriched bacterial taxa due to TBI. Subsequently, these data were analyzed to identify the metagenome-specific biofunctions. The bacterial community of the DCCs showed increased levels of diversity as time progressed following TBI. The abundance profile was the most divergent at day 9 post 11 Gy TBI. For instance, an anti-inflammatory and energy-harvesting bacterium, namely, Firmicutes, became highly abundant and co-expressed in the DCC with pro-inflammatory Deferribacteres at day 9 post 11 Gy TBI. A systems evaluation found a diverging trend in the regulation profiles of the functional networks that were linked to the bacteria and metabolites of the DCCs, respectively. Additionally, the network clusters associated with lipid metabolism and bioenergy synthesis were found to be activated in the DCC bacteria but inhibited in the metabolite space at day 9 post 11 Gy. Taking these results together, the present analysis indicated a disrupted mouse–bacteria symbiotic relationship as time progressed after lethal irradiation. This information can help develop precise interventions to ameliorate the symptoms triggered by TBI.

The breadth and complexity of natural behaviors inspires awe. Understanding how our perceptions, actions, and internal thoughts arise from evolved circuits in the brain has motivated neuroscientists for generations. Researchers have traditionally approached this question by focusing on stereotyped behaviors, either natural or trained, in a limited number of model species. This approach has allowed for the isolation and systematic study of specific brain operations, which has greatly advanced our understanding of the circuits involved. At the same time, the emphasis on experimental reductionism has left most aspects of the natural behaviors that have shaped the evolution of the brain largely unexplored. However, emerging technologies and analytical tools make it possible to comprehensively link natural behaviors to neural activity across a broad range of ethological contexts and timescales, heralding new modes of neuroscience focused on natural behaviors. Here we describe a three-part roadmap that aims to leverage the wealth of behaviors in their naturally occurring distributions, linking their variance with that of underlying neural processes to understand how the brain is able to successfully navigate the everyday challenges of animals' social and ecological landscapes. To achieve this aim, experimenters must harness one challenge faced by all neurobiological systems, namely variability, in order to gain new insights into the language of the brain.