Maine Farmland Trust

Veröffentlichungen der Württembergischen Landesstellen für Naturschutz und Landschaftspflege in Ludwigsburg und Tübingen 20 (1951): Vom Naturschutz in Würtemberg. 279 S. Ill., graph. Darst.

Population density, urbanization and industrialization are the rapidly increasing and it's causes severe damages to freshwater ecosystem. The present study aims to assess the quality of groundwater using integrated methods in the industrial zone of South India. The integrated assessment of groundwater using unsupervised machine learning method associated human health risk assessment are identified as research gap in the study region. We collected 55 samples based on groundwater availability, population density, and industrial activity in summer and winter seasons. The study found that calcium-chloride and mixed calcium-magnesium-chloride types of water are the dominating category in both seasons. The groundwater pollution index (GPI) and piper trilinear and gibbs diagram indicate that evaporation, water-rock interface, and other anthropogenic activities are the dominating factors in groundwater chemistry. Analysis using the entropy water quality index (EWQI) and human health risk estimation confirmed that nitrate is the key parameter affecting groundwater sustainability. Unsupervised machine learning techniques were applied to evaluate groundwater chemistry. The principal component analysis (PCA) results revealed that seasonal variation is influenced by mineral dissolution, rainwater recharge, and anthropogenic activities. The hierarchical cluster analysis (HCA) results shows that a tight cluster forms among pH, Na, K, NO3, and F, suggesting that processes such as agricultural inputs from fertilizer use, synthetic pesticides, and natural geochemical interactions control ion exchange. The k-means clustering yielded three clusters: low-salinity fresh water, moderately mineralized water undergoing geochemical alteration, and high-hardness water indicative of specific geogenic and anthropogenic influences in both seasons. Overall, the integrated assessment of groundwater revealed that the water-rock interface, evaporation, and synthetic fertilizer use in agricultural fields are significant factors controlling groundwater quality. The keyfindings of this study provides clear knowledge about the nature of groundwater, influencing factors and help to improve the water resources management strategies in investigation zone.

Bevezetés: A kórházi tartozásállomány mértékének, változásainak és hatásainak bemutatása a közfinanszírozott egészségügyi ellátóhálózat egyik informatikai beszállítójának a szemszögéből. Célkitűzés: Elemzésünk célja a kórházi tartozásállomány vizsgálata egy kórházi információs rendszert szállító piaci szereplő szemszögéből, kiemelt figyelemmel arra, hogy a szolgáltató KKV elérhető kintlévőség adatiból milyen összefüggések mutathatók be, illetve milyen hatások érvényesülnek az irányában fennálló tartozás mértékének változásában. Célunk feltárni azokat az okokat és hatásokat, amelyek a közfinanszírozott szolgáltatók informatikai szállítóval szemben fennálló tartozásának volumenét meghatározzák, illetve befolyásolják. Módszerek: Az retrospektív elemzéshez az adatokat a vizsgált kórházi információs rendszer szállítójának saját adatai biztosították, illetve a nyilvánosan elérhető országos kórházi tartozásállomány adatok adják. Az elemzés során szignifikancia szinteket és korrelációs együtthatókat vizsgáltunk különböző statisztikai módszerekkel. Eredmények: A vizsgálat eredményeként kimutathatóvá válik, hogy az állami konszolidációs beavatkozásoktól függően sok egyéb helyi hatás is befolyásolja az adott intézmény fizetési hajlandóságát, illetve a tartozások felhalmozásának dinamikáját. Következtetés: Az adatok elemzése, az okok őszinte feltárása, hatásainak vizsgálata és azok intézményenkénti összehasonlítása bemutatja, hogy a központi konszolidációtól függetlenül sok egyéb szempont is befolyásolja a tartozásállomány változás dinamizmusát. Ezeknek az okoknak a detektálása és kezelése lehetőséget ad a kórházi tartozások csökkentésére, az egészségügyi beszállítók finanszírozási terheinek az enyhítésére. A cikkben kidolgozott függvény felhasználása lehetőséget ad az egészségügyi ágazat hatékonyabb működésére, illetve nem utolsó sorban a kiszámítható pénzügyi környezet biztosításával a jobban működő beszállítók termékein és szolgáltatásain keresztül nagyobb betegbiztonság is elérhető.

Despite the rise of pulsed-field ablation (PFA), predicting and titrating lesion geometry remains challenging. This study aimed to find modifiable parameters that can accurately and repeatedly predict focal PFA lesions across a range of dimensions and to develop a model to predict lesion geometry. An in vivo study was performed in 9 swine using an investigational dual-energy contact-force focal catheter with local impedance. Ablations were performed endocardially in the right and left ventricles using settings specifically selected to provide a wide range of lesion dimensions. Predefined PFA applications (1, 2, or 4) were delivered while maintaining different contact-force values (5-45 g). Four different voltages were used (1.0, 1.4, 2.0, and 2.2 kV). Following a 1-week survival period, the animals were euthanized for histopathologic examination. In the study characterization data set, a total of 78 PFA lesions were analyzed. Lesion depth ranged from 1.4 mm to 12.3 mm, while lesion width ranged from 3.3 mm to 21.2 mm. All 3 tested parameters-contact force, number of applications, and voltage-demonstrated a positive linear correlation with lesion depth (P<0.01). The proposed formula (Focal FARAPULSE Index Model) showed a strong positive correlation with lesion depth (R=0.83; P<0.0001) and lesion width (R=0.76; P<0.0001). A perpendicular catheter orientation was correlated with deeper lesions than a parallel orientation. No ST-segment elevations or sustained ventricular arrhythmias were observed. Our findings demonstrate that PFA can be effectively titrated and predicted using the Focal FARAPULSE Index Model to create lesions of varying depths (1-12 mm), with these results being specific to the proprietary waveform and catheter used.

In 2013, the American Physical Therapy Association put forth a vision statement that declared that the movement system be central to physical therapy practice. Since then, the Academy of Neurologic Physical Therapy has supported this vision by creating task forces that have worked to advance the utility of movement analysis and movement diagnoses. In 2021, the Movement Analysis of Tasks (MAT) Subgroup created and defined a series of observable movement constructs and developed a systematic method for movement analysis of specific high-priority tasks. Since then, we have sought feedback across the physical therapy community through informal methods, including national stakeholder discussions, and a formal qualitative survey of 30 physical therapists in a single health system. The purpose of this project is to provide an update to the Framework for MAT based on this feedback. The updates to the 2021 Framework for MAT include (1) presentation of a revised set of observable movement constructs that reduces redundancy, (2) proposal of a generalized method for standardized MAT that more comprehensively considers environmental and sociocultural factors during any movement-centered examination, and (3) provide guidance on how the MAT fits within the physical therapy examination and facilitates clinical reasoning. Through the use of case presentations, we demonstrate the use of these tools across a wide variety of patient scenarios, thereby advocating for continued professional conversation about their clinical utility. for more insights from the authors (see the Video, Supplemental Digital Content available at: http://links.lww.com/JNPT/A556 ; http://links.lww.com/JNPT/A557 ; http://links.lww.com/JNPT/A558 .

Despite the promise of reflective consultation and the beneficial impacts it may have on enhancing early childhood educator social-emotional well-being and competence, there is limited research on reflective consultation with early childhood educators. The current project, Escúchanos, examined how English-speaking and bilingual Spanish-English early childhood educators (n =16, 6 White, 9 Latina, 1 Asian/Pacific Islander) in the United States experienced reflective consultation at their child care centers. Semi-structured interviews were conducted in the participant's preferred language to provide a better understanding of the perceived benefits and suggested improvements for delivering reflective consultation in early childhood and education settings. Early childhood educators in the study were provided with reflective consultation sessions over 7 months offered by trained mental health consultants in a linguistically responsive manner. Given the cultural and linguistic diversity of the early childhood workforce, this study contributes to the practice of providing culturally and linguistically responsive reflective consultation. Findings from this study suggest that reflective consultation offered early childhood educators with the: space to express feelings; time to take a pause; opportunities to work as a team; and an enhanced awareness of self and others.

In genetic studies with the Hybrid Mouse Diversity Panel, we previously identified a chromosome 9 locus for atherosclerosis. We now identify NNMT (nicotinamide N-methyltransferase), an enzyme that degrades nicotinamide, as the causal gene in the locus and show that the underlying mechanism involves salvage of nicotinamide to nicotinamide adenine dinucleotide (NAD). Gain/loss of function studies in macrophages were performed to examine the role of NAD levels in macrophage proliferation and apoptosis in atherosclerosis. Global inhibition of NNMT using an antisense oligonucleotide reduced atherosclerosis lesion area 5- to 10-fold in both male and female mice on a hyperlipidemic background. Selective inhibition of NNMT in liver and adipose, the major tissues expressing high levels of the enzyme, using siRNA (small interfering RNA), had little or no effect on atherosclerosis. Therefore, we hypothesized that levels of NAD in macrophages might contribute. This was confirmed by showing that transplantation with bone marrow from Nnmt knockout mice resulted in reduced lesional macrophage proliferation, increased macrophage apoptosis, and reduced atherosclerosis. Consistent with this conclusion, reduced expression of macrophage CD38, an enzyme that degrades NAD, reduced both macrophage proliferation and atherosclerosis. Moreover, cultured macrophages from heterozygous Nnmt knockout mice exhibited reduced proliferation, increased apoptosis, and an increased NAD/NADH (nicotinamide adenine dinucleotide, reduced) ratio. These findings reveal a role for nicotinamide salvage and NAD turnover in macrophage proliferation and survival in the context of atherosclerosis.

Meningkatkan Komunikasi Matematis dan Kepercayaan Diri Menggunakan Model Pembelajaran SIMAS ERIC Berbantuan Bahan Ajar Gamifikasi. Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran SIMAS ERIC yang dibantu oleh materi pengajaran gamifikasi terhadap keterampilan komunikasi matematis dan kepercayaan diri siswa di sekolah menengah pertama. Penelitian ini menggunakan pendekatan kuantitatif dengan metode quasi-experimental dan desain kelompok kontrol pasca-tes saja. Sampel terdiri dari tiga kelas delapan di SMP Negeri 3 Jati Agung, yang dipilih melalui teknik pengambilan sampel acak kluster. Instrumen penelitian meliputi tes esai untuk mengukur keterampilan komunikasi matematis dan kuesioner skala Likert untuk mengukur kepercayaan diri siswa. Hasil analisis data menggunakan MANOVA menunjukkan bahwa model pembelajaran SIMAS ERIC yang dibantu oleh materi pengajaran gamifikasi memiliki pengaruh signifikan terhadap peningkatan keterampilan komunikasi matematis dan kepercayaan diri siswa. Oleh karena itu, model ini layak diterapkan sebagai alternatif pembelajaran yang menyenangkan dan efektif di kelas matematika.

Background: The coronavirus disease 2019 (COVID-19) pandemic exposed significant vulnerabilities in public health systems globally, particularly in low and middle-income countries like Pakistan. In response, predictive modeling has emerged as a critical tool to guide proactive pandemic preparedness, optimize resource allocation, and strengthen risk financing mechanisms. This study aimed to develop and validate predictive models tailored to the Pakistani context and to support evidence-based decision-making for future health emergencies. Methods: A mixed-methods approach was employed, integrating epidemiological forecasting, healthcare capacity modeling, cost-effectiveness analysis, and risk financing simulations. Data was sourced from multiple national institutions including the National Institute of Health (NIH), Lady Health Workers (LHW) Program, SehatSahulat Program (SSP), and also from international databases such as WHO and World Bank. Compartmental SEIR models and machine learning algorithms were used for outbreak forecasting. Discrete-event simulation (DES) assessed the healthcare system readiness under varying outbreak intensities. Economic evaluation was conducted using a Markov model to compare interventions. Stakeholder engagement informed policy relevance and implementation pathways. Results: Epidemiological models demonstrated high accuracy in predicting dengue and SARS-CoV-2 outbreaks, with an average prediction error (MAE) of ±6.8%. Healthcare capacity analysis revealed significant shortages during severe scenarios: ICU beds fell short by 71%, ventilators by 75%, and medical staff by 58%. Targeted vaccination emerged as the most cost-effective intervention, yielding 2.3 million DALYs averted at $280 million, followed by mass testing. Risk financing simulations indicated that a hybrid mechanism combining contingency reserves and catastrophe bonds could reduce unmet funding needs by up to 82%. Qualitative feedback from policymakers confirmed strong support for predictive analytics; it also highlighted existing challenges related to data interoperability and lack of technical capacity. Conclusion: Predictive modeling offers a robust framework for enhancing pandemic preparedness and guiding risk financing decisions in Pakistan. By leveraging local data and global modeling techniques, this study provides actionable insights for improving healthcare resilience, optimizing resource use, and strengthening fiscal preparedness. Institutionalizing predictive analytics within national health planning is essential to make an effective transition from reactive crisis management to proactive; also data-informed strategies have capability of mitigating the impact of future pandemics.

(Abstracted from Urogynecology (Phila) 2025;31(3):266–275 Physical activity restrictions after reconstructive pelvic surgery are not standardized. Traditional recommendations for abstaining from physical exertion seem to be founded on the belief that limiting physical stress can positively influence anatomical and functional recovery, although there is little evidence this is true.