Analysis Program Research Articles

The use of autonomy among physical education teachers in Finland and Kurdistan region of Iraq

IntroductionThe aim of the study was to examine fifth-grade physical education (PE) teachers’ reflections and perceptions about PE teaching in Finland and Kurdistan region of Iraq (KRI), using analyses of in-depth interviews with a phenomenological-hermeneutic approach.MethodsThis was accomplished by exploring eight Finnish and six KRI PE teachers’ opinions, attitudes, experiences, and reflections regarding their work as PE teachers, using semi-structured in-depth interviews about PE, as well as their reflections related to an indoor and an outdoor video from ordinary PE teaching in the other country. The initial analyses of the two groups of teachers using the qualitative analysis program NVivo revealed interesting findings related to student autonomy, and these differences were examined closely.ResultsWhile the analyses showed that all the Finnish PE teachers highlighted the importance of providing student autonomy within the open-ended questions related to PE, PE teachers in KRI seldom discussed autonomy during the open-ended questions. Instead, they seemed to organize their teaching in a way that decreased autonomy. The Finnish PE teachers indicated that the use of autonomy was central in the curriculum, and that they used autonomy to increase the students’ motivation and to make PE more meaningful for the students. With such a strategy, the use of autonomy would also activate and include more students, even if Finnish PE teachers reported certain challenges with students’ autonomy. The PE teachers from KRI, however, related PE to be mainly focused on performing sport activities and reflected a strategy of “just do as I do” - a strategy that created little room for autonomy, even if the findings pointed to some traces of autonomy among the PE teachers in KRI.DiscussionConsidering the findings and the theoretical concept of self-determination theory that highlight students’ autonomy as essential for students’ motivation, integration, wellness, and well-being in PE, our findings suggest that new perspectives and practices are needed among teachers in KRI to ensure autonomy in PE teaching. In this vein, increased exchange of experiences and collaboration between educators from Finland and KRI could be beneficial.

FEITOS E PERFIL POPULACIONAL DE IDOSOS NA PRÁTICA DE ATIVIDADES FÍSICAS EM PORTO VELHO – RONDÔNIA

The elderly population has been growing significantly over the years, and with this, there has also been a growing concern about ensuring that these individuals have an active and healthy life. Physical activity is one of the main ways to promote health and quality of life in old age, as it can prevent and treat various health conditions, in addition to improving physical and cognitive function. Based on this, this article aims to analyze the importance of physical activity for health and the benefits that the activity provides to the elderly. The study is descriptive and quantitative in nature and was carried out in the city of Porto Velho, Rondônia, at the Physiotherapy Clinic of the São Lucas Educational Center and SESC/RO Social Service of Commerce Rondônia. It is important to note that the study included male and female elderly people, aged 60 years and older. In addition, two questionnaires were used to produce the data: one about general information based on daily habits and a description of physical exercises and the benefits achieved. Complementary data information about risk factors, weight, height and lifestyle changes. It is worth noting that a sociodemographic questionnaire was applied, along with a functional test scale to assess the physical fitness of the elderly, the Berg Balance Scale and the Modified Baecke Questionnaire for the Elderly. And the guardians signed the free and informed consent form (ICF). The data were collected through the evaluation instruments that were tabulated in the Microsoft Excel program for statistical analysis. The research evaluated 60 participants, predominantly women (93.3%), aged between 60 and 90 years, most living in the urban area. In terms of health, 31 of the participants reported regular perception and 62% had 2 to 3 comorbidities. The majority did not smoke (58 participants) and did not consume alcohol (52 of the 60 participants). Regarding Covid-19, 31 had been infected, but only 1 required intubation. On the Berg Scale, 98.3% of the elderly demonstrated good balance when standing for 2 minutes without support, and 44 of 60 were able to pick up objects from the floor independently. However, 60% suffered two or more falls and 40% reported moderate or extreme fear of falling, while 30% had difficulty standing on one leg for 3 seconds or more. These data reveal a predominance of good functional capacities, but with significant limitations in relation to falls and comorbidities. The completion of this study contributed to a greater understanding of the importance of physical activity in the lives of the elderly, considering that physical activity is an element that can contribute to the promotion of health, physical and mental well-being and functional capacity of the elderly, demonstrating that regular exercise not only improves muscle strength and balance, but also significantly reduces the risk of falls, one of the main challenges faced by this population. The data obtained highlight the need for interventions that encourage physical activity, since many elderly people consider themselves active, but only a minority performs exercises regularly. Therefore, the implementation of physical exercise programs is essential to prevent chronic diseases, improve quality of life and promote functional independence among the elderly, contributing to healthy and active aging.

Cyber Dating Violence: How Is It Perceived in Early Adolescence?

Background: Reports on cyber dating violence in adolescent populations vary significantly depending on whether the focus is on directly aggressive behaviours or behaviours designed to control one’s partner. In contrast to direct aggression, which is often clearly identified by adolescents, there is a greater degree of ignorance, and even a certain degree of normalisation, of controlling behaviours. Such behaviours may include, for example, insisting on knowing the whereabouts of a partner at all times or sharing social media passwords. This study aims to explore adolescent perceptions of cyber dating violence and to identify the differential characteristics of cyber-violent relationships using the Iramuteq software program for text analysis. Methods: Participants were 466 second- and third-year secondary school students. Data were collected through surveys, and responses were analysed using the Iramuteq program. This software tool enabled the identification of common terms and themes linked to cyber dating violence, as perceived by participating adolescents. Results: The analyses revealed the repeated appearance of terms associated with violent behaviours, online media, toxic relationships, and victim coercion. However, there was a notable lack of recognition of controlling behaviours as a manifestation of cyber dating violence. Adolescents frequently normalised behaviours such as insisting on knowing a partner’s whereabouts at all times or sharing social media passwords. Conclusions: The findings suggest a significant gap in adolescents’ understanding of what constitutes cyber dating violence. In contrast to direct aggression, which is easily identified, controlling behaviours are often normalised, indicating a need for educational and preventive measures to address this issue. By improving adolescents’ understanding of controlling behaviours as a form of cyber dating violence, preventive efforts can be more effectively tailored to address and mitigate this problem. To prevent the normalisation of certain behaviours indicative of cyber dating violence, early education is recommended in areas such as healthy relationships, communication skills, respect for privacy, and recognition of signs of excessive control.

HOST COUNTRY LANGUAGE ACQUISITION AMONG FIRST-GENERATION YAGLIDERE IMMIGRANTS IN THE USA AND THE MAINTENANCE OF THE TURKISH LANGUAGE IN SUCCESSIVE GENERATIONS VIA SOCIAL NETWORKS

This article investigated the effect of the social networks of Yaglidere Turkish immigrants on language acquisition and the maintenance of heritage languages by successive generations in the USA. The study was conducted in the cities of Patterson and Burlington between January 2018 and July 2018. This research used qualitative research methods to analyze ethnographic interviews and participant observations. Data were collected using participant observation and informal talks with immigrants conducted in different informal settings such as participants’ houses, their restaurants, and other cafes in Burlington and Paterson. The interviews lasted from 40 to 90 minutes. Questions were open-ended and focused on the role of social networks in the acquisition of English language skills. In order to analyze the resulting data, the audio recordings were transcribed and translated into English. The interviews were first transcribed into Microsoft Word files and then imported into Maxqda, a software program for qualitative analysis, where the data were coded for study. The results indicated that even though social networks have destructive effects among first-generation immigrants, they have undeniable constructive effects on language maintenance in other generations. So, what is destructive for the first generation turns into constructive for the other generations.

The role of emotional marketing in enhancing strategic customer behavior through financial knowledge: An analytical study of a sample of shopping malls in Iraq

The research aims to diagnose the logical relationships between emotional marketing and its role in enhancing strategic customer behavior through financial knowledge to reach results in the dynamic environment of shopping malls. The paper was designed in light of adopting the descriptive analytical approach to variables and collecting data and information through the questionnaire tool distributed to the shopping malls of the research sample. Using statistical analysis programs to reach the results, the study sample reached (25) shopping malls in the local environment of the country. The results showed that there is a threat in the local environment in which these malls operate through the entry of foreign investment projects in this field, which led to an increase in supply and competition in terms of quality, prices and delivery services to gain customers. The studied malls had to develop a strategy on how to attract and retain customers by using emotional marketing practices and relying on financial knowledge to influence strategic customer behavior, as the current and future customer has become rapidly changing in tastes, needs, desires and transformation through technological development and the world has become a small village that can be viewed at any time and in short periods of time. The research also concluded that the threat of new investment through the establishment of new malls as new investment projects affects supply and demand in the environment in which these studied malls operate. The research also concluded that there is a correlation and influence relationship between the research variables of the studied malls, which includes a package of results that benefit the research community. The paper aims to bridge the knowledge gap between the variables of the paper in the dynamic environment by using emotional marketing as a competitive tool in influencing strategic customer behavior through financial knowledge to gain and maintain the current customer and gain the potential customer.

Comparison of Computational Statistical Packages for the Analysis of Continuous Glucose Monitoring Data with a Reference Software, "Ambulatory Glucose Profile," in Type 1 Diabetes.

Objective: To compare the accuracy of commonly used continuous glucose monitoring (CGM) analysis programs with ambulatory glucose profile (AGP) and Dexcom Clarity (DC) in analyzing CGM metrics in patients with type 1 diabetes (T1D). Research Methods: CGM data up to 90 days from 152 adults using the same CGM and automated insulin delivery system with T1D were collected. Six of the 19 CGM analysis programs (CDGA, cgmanalysis, Glyculator, iglu, EasyGV, and GLU) were selected to compare with AGP and DC. Metrics were compared etween all tools with two one-sided t-tests equivalence testing. For the equivalence test, the acceptable range of deviation was set as ±2 mg/dL for mean glucose, ±2% for time in range (TIR), ±1% for time above range (TAR), time above range level 1 (TAR1), time above range level 2 (TAR2), and coefficient of variation (CV). Results: All packages were compared with each other for all CGM metrics, and most of them had statistically significant differences for at least some metrics. All tools were equivalent to AGP for mean glucose, TIR, TAR, TAR1, and TAR2 within ±2 mg/dL, ±2%, ±1%, ±1% and 1%, respectively. CDGA, Glyculator, cgmanalysis, and iglu were not equivalent to AGP for CV within ±1%. All tools were equivalent to DC for mean glucose, TIR, and TAR2 within ±2 mg/dL, ±2%, and ±1%, respectively. Glyculator was not equivalent for TAR1, TAR, and CV. CGDA, cgmanalysis, and iglu were not equivalent to DC for TAR1 and TAR. EasyGV and GLU were not equivalent for TAR within ±1%. Conclusions: CGM analysis programs reported CGM metrics statistically differently, but these differences may not be applicable in clinical practice. The equivalence test also confirmed that the differences are negligible for TIR and mean glucose, while they can be important for hyperglycemic ranges and CV. A standardization for CGM data handling and analysis is necessary for clinical studies reporting CGM-generated outcomes.

Automated Assessment of Leadership Style and Professional Values of a Top-Manager and its Compliance with SDGS

Objective: the main objective was to use automated text analysis and assess the leadership styles and professional values of top managers, as well as to study how these parameters can influence the achievement of the SDG "Decent work and Economic growth". Theoretical Framework: The work is based on the idea that the leadership style and intelligence of a top manager determine the trajectory of a company’s development, the psychological working climate, the attitude towards employees, and the decision-making mechanism within and outside the team. Method: The authors used automated psychological text analysis using AI-based chatbots (ChatGPT, Gemini, Gigachat) and a specialized psychological text analysis program (LIWC). These methods were compared with psychological content analysis performed by a person. Results and Discussion: The obtained results showed that automated text analysis can be effectively used to understand the personality of the manager and the features of decision-making on his part in relation to employees and the organization. Research Implications: the approach proposed by the authors will allow for the development of measures to increase labor productivity and create decent jobs, taking into account the personality and values of the top manager, and will serve as a basis for the development of creativity and innovation in the company, thereby contributing to the achievement of the SDGs of “Decent Work and Economic Growth”. Originality/Value: the conducted research confirmed our hypothesis that text analysis allows us to understand important personality traits from the standpoint of intelligence, logic, thinking and speech, using artificial intelligence tools.

Improved snow property retrievals by solving for topography in the inversion of at-sensor radiance measurements

Abstract. Accurately modelling optical snow properties like snow albedo and specific surface area (SSA) are essential for monitoring the cryosphere in a changing climate and are parameters that inform hydrologic and climate models. These snow surface properties can be modelled from spaceborne imaging spectroscopy measurements but rely on digital elevation models (DEMs) of relatively coarse spatial scales (e.g. Copernicus at 30 m), which degrade accuracy due to errors in derived products such as slope and aspect. In addition, snow deposition and redistribution can change the apparent topography, and thereby static DEMs may not be considered coincident with the imaging spectroscopy dataset. Testing in three different snow climates (tundra, maritime, alpine), we established a new method that simultaneously solves snow, atmospheric, and terrain parameters, enabling a solution that is more unified across sensors and introduces fewer sources of uncertainty. We leveraged imaging spectroscopy data from Airborne Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and PRecursore IperSpettrale della Missione Applicativa (PRISMA) (collected within 1 h) to validate this method and showed a 25 % increase in performance for the radiance-based method over the static method when estimating SSA. This concept can be implemented in missions such as Surface Biology and Geology (SBG), the Environmental Mapping and Analysis Program (EnMap), and the Copernicus Hyperspectral Imaging Mission for the Environment (CHIME).

A Study of The Geographical Information System (GIS) based Energy Station Identification and Frequency Analysis Using ETA

The energy corporation entity recently pays maximum attention to the environmental and social safe guards associated with its operations. In developing countries mainly suffers to balance the gap between generation and demand for effective operation by the energy utilities. An inadequate transmission capacity, non-uniform location of energy stations may lead to worst consequences when the occurrences of fault and may end up with black out. To overcome the above situation and to improve the stability of such system, In this research proposes a Geographical Information System (GIS) based identification of location of the uncertainty power stations and also a technique called Islanding Scheme to protect the severely affected system by measuring its frequency parameters. The severely disturbed large interconnected power system is divided into number of subsystems with two or more generating buses feeding its nearby loads by disintegrating the tie lines. The sample 50 bus test case system taken from Tamilnadu Electricity Board (TNEB), INDIA to analyze and simulate the results using Electrical Transient Analyzer Program (ETAP) and Geographical Information System (GIS). In this paper, ETAP and GIS effective software tools used for identify the energy station in various locations and analyzing the frequency status of different buses for better operation in electric utilities and thus ensure better management, enhance the improved stability by mapping the data and outage management.

ESTIMATION OF DOSE ESTIMATION USING THE SPECIFIC DOSE SIZE METHOD OF RADIOGRAPH IMAGE REPEAT ANALYSIS AS A FORM OF RADIATION SAFETY IN THE RADIOLOGY INSTALLATION OF KLATEN ISLAMIC HOSPITAL

Repeat analyses are radiographs that are not clinically acceptable and are requested to be retaken. The primary purpose of the repeat analyses program is to take corrective action, record the repeated radiographic images, and determine the cause of the repetition so that it can be minimized or even eliminated. Klaten Islamic Hospital needs to keep its radiology services optimal and safe for patients as a referral hospital. One indicator of the quality of service is the low repetition rate of radiographic images. This study aims to determine the percentage of factors causing the repetition of radiographic images and suggested solutions to minimize repeat radiographic images in the Radiology Department. Survey research with a quantitative approach to repeating radiographic images at the Radiology Department. The study was conducted in February-May 2024 using observation, survey, and documentation. The percentage of repetition of radiographic images at the Radiology Installation of Klaten Islamic Hospital in the first month was 2.72%, in the second month was 3.04%, in the third month was 4.05%, and in the fourth month was 3.43%. Factors causing the repetition of radiographic images include miscollimation (clipped), artifacts, exposure factors, tools, and patient movement. Suggested solutions to minimize the factors causing the repetition of radiographic images in the Radiology Installation of Klaten Islamic Hospital are good communication between radiographers and patients, double checking before exposure, clear instructions to patients, ensuring there are no objects that can become artifacts, using appropriate exposure parameters, calibrating and testing suitability regularly, reporting if there is equipment damage, and using immobilization techniques. Keywords: Repeat Analyses, Digital Radiography, radiation safety for patient.

Observational study of ground-level ozone and climatic factors in Craiova, Romania, based on one-year high-resolution data.

Air pollution is a multifaceted issue affecting people's health, environment, and biodiversity. Gaining comprehension of the interactions between natural and anthropocentric pollutant concentrations and local climate is challenging. This study aims to address the following two questions: (1) What is the influential mechanism of climatic and anthropogenic factors on the ground-level ozone (O3) concentrations in an urban environment during different seasons? (2) Can the ozone weekend effect be observed in a medium-sized city like Craiova, and under which conditions? In order to answer these questions, ozone interactions with meteorological parameters (temperature, pressure, relative humidity) and pollutant concentrations (particulate matter, carbon dioxide, volatile organic compounds, formaldehyde, nitrogen dioxide, nitric oxide and carbon monoxide) is evaluated based on a one-year dataset given by a low-cost sensor and one-year dataset provided by the National Environment Agency. Using two statistical analysis programs, Python and SPSS, a good understanding of the correlations between these variables and ozone concentration is obtained. The SPSS analysis underscores the significant impact of three meteorological factors and nine other pollutants on the ozone level. A positive correlation is noticed in the summer when sunlight is intense and photochemical reactions are elevated. The relationship between temperature and ozone concentration is strong and positive, as confirmed by Spearman's rho correlation coefficient (r = 0.880). A significant negative correlation is found between relative humidity and ozone (r = -0.590). Moreover, the analysis shows that particulate matter concentrations exhibit a significant negative correlation with ozone (r ≈ -0.542), indicating that higher particulate matter concentrations reduce ozone levels. Volatile organic compounds show a significant negative correlation with ozone (r = -0.156). A negative relationship between ozone and carbon dioxide (r = -0.343), indicates that elevated carbon dioxide levels might also suppress ozone concentrations. A significant positive correlation between nitrogen dioxide and ozone (r = 0.060), highlights the role of nitrogen dioxide in the production of ozone through photochemical reactions. However, nitric oxide shows a negative correlation with ozone (r = -0.055) due to its role in ozone formation. Carbon monoxide has no statistically significant effect on ozone concentration. To observe the differences between weekdays and weekends, T-Test was used. Even though significant differences were observed in temperature, humidity, carbon dioxide, volatile organic compounds, nitrogen dioxide, nitric oxide and carbon monoxide levels between weekdays and weekends, the T-Test did not highlight a significant weekend ozone effect in a mid-sized city as Craiova. Using Python, the daily values were calculated and compared with the limit values recommended by the World Health Organization (WHO) and European Environment Agency (EEA). The WHO O3 recommended levels were exceeded for 13 times in one year. This study offers a comprehensive understanding of ozone pollution in a mid-sized city as Craiova, serving as a valuable reference for local decision-makers. It provides critical insights into the seasonal dynamics of ozone levels, emphasizing the significant role of temperature in ozone formation and the complex interactions between various pollutants and meteorological factors.

Analytical study on fire resistance performance of precast concrete hollow-core slabs for electric vehicle fire in parking structures

This study evaluated the effects of fires that occur in internal combustion engine vehicles (ICEVs) and battery electric vehicles (BEVs) on the structural safety of hollow-core slabs (HCS) installed in parking structures. A fire simulation of a prototype parking structure was performed using the time–heat release rate curves of ICEVs and BEVs derived from fire experiments, and fire behavior and temperature history were derived according to the fire curve. Additionally, nonlinear finite element analysis was conducted using a general-purpose finite element analysis program, and the fire resistance performance of HCS was evaluated according to the fire curve and slab load ratio. In the case of a fire in ICEVs, the performance criteria of ISO 834–1 were met even at a slab load ratio of 0.7. However, in the case of a fire in BEVs, the standard for insulation was not met as the temperature change of the upper surface of HCS exceeded 180 K, and the load-bearing capacity was also not satisfied as the limiting deflection reached a slab load ratio of 0.7.

Ethanol stability from nine years of a blind quality control program in blood alcohol analysis.

A blind quality control (BQC) program in blood alcohol analysis was implemented at the Houston Forensic Science Center (HFSC) in September 2015. By mimicking authentic toxicology blood evidence, the laboratory can perform a concurrent evaluation of their technical and administrative casework procedures and test the accuracy and reliability of their volatile analysis method in a format that is blinded to the analyst. From September 2015 to November 2023, HFSC's Quality Division submitted 1228 antemortem whole blood samples: 292 ethanol-negative samples and 936 ethanol-positive samples at sixteen target concentrations (0.051, 0.080, 0.100, 0.110, 0.120, 0.130, 0.150, 0.160, 0.170, 0.180, 0.190, 0.200, 0.230, 0.240, 0.250, and 0.260 g/dL). A second, unopened blood tube in 168 of the 1228 BQCs was also analyzed after 721-1140 days: 24 ethanol-negative samples and 144 ethanol-positive samples at five target concentrations (0.080, 0.100, 0.130, 0.180, and 0.240 g/dL). All 316 ethanol-negative samples remained negative. After 42-758 days, the average (median, range) change in ethanol concentration of the 936 positive samples was -1.4% (-1.3%, -12.0% to +8.4%) with a statistically significant difference (P < 0.001) observed for the gradual decline in blood alcohol concentration (BAC) over time. The average BAC percentage differences per target concentration, ranged from -6.4% (-0.008 g/dL) to +5.7% (+0.011 g/dL), were within HFSC's current measurement uncertainty (9.4% at k=3), showing no apparent correlation between the change in ethanol and the theoretical target concentration. As the analysis time between the two blood specimens from the same evidence kit extended, the loss in ethanol significantly increased (P < 0.001).

Accuracy of web-based automated versus digital manual cephalometric landmark identification.

The purpose of this study was to assess the accuracy of two web-based automated cephalometric landmark identification and analysis programs. Manual landmark identification using Dolphin Imaging software was used as reference. 105 cephalograms were selected and divided into three groups of 35 subjects each, Class I, II and III. Radiographs were traced using Dolphin imaging software. WebCeph™ (South Korea) and Cephio™ (Poland) were used for the automated cephalometric analysis. Bland-Altman limits of agreement and the concordance correlation coefficient (CCC) were calculated. Kruskal Wallis test was used to compare the accuracy of WebCeph™ and Cephio™ measurements between the three groups. Mann-Whitney U test was used to compare the absolute difference between cephalometric measurements obtained using WebCeph™ and Cephio™. The mean difference (MD) between AI and manually-derived measurements was less than 1mm/degree and ranged from 0.01 to 0.8 except for upper lip protrusion (MD 1.35°), nasolabial angle (MD 5.01°), SN-GoGn (MD 1.41°), Ramus height (MD 1.46°), and IMPA (MD 1.94°). The mean CCC was 0.91 (range 0.60 to 0.96). No statistically significant differences were found between the three malocclusion groups for most of the measurements (P > 0.05). For most of the measurements, automated cephalometric measurements were clinically acceptable. Few differences were found between Webceph™ and Cephio™ for most measurements. Measurements including SNA, SN-PP, IMPA as well as soft tissue measurements require extra consideration and manual adjustment of respective landmarks for higher precision and improved efficiency.

Nature vs. nurture: Drivers of site productivity in loblolly pine (Pinus taeda L.) forests in the southeastern US

Forest productivity is one of the most important aspects of forest management, landscape planning, and climate change assessment. However, although there are multiple elements known to affect productivity, most of them rely on the “nature” of the edaphic, climatic, and geographic conditions, and only some specific aspects can be modified through forest management or “nurture”. Through evaluation of site resource availability and an understanding of the main drivers of productivity, management can present solutions to overcome site resource limitations to productivity. Therefore, understanding the implications of a specific management regime requires understanding what drives productivity across large spatial extents and among different management regimes. In this study, we used data from over 1 million hectares of industrial forestland, covering over 6000 different soils and several management regimes of Pinus taeda L. plantations, as well as plot-based data from the Forest Inventory and Analysis (FIA) program, facilitating a comparison of planted and natural Pinus taeda stands. Combined with US Geological Survey LiDAR data, we computed site index and generated wall-to-wall productivity maps for planted Pinus taeda stands in the southeastern US, as well as point-based site index estimates for the FIA dataset. We modeled site index using a random forest algorithm considering edaphic, geologic, and physiographic province information based on the Forest Productivity Cooperative “SPOT” system, and also included climate and management history data. Our model predicted site index with an R2 of 0.701 and RMSE of 1.41 m on the industrial data and R2 of 0.417 and RMSE of 1.84 m for the FIA data. We found that year of establishment of the forest, physiographic province, and geology, were the most important drivers of site index. The soil classification modifier indicating root restrictions were the most important soil-specific variable. Additionally, we found an average increase in site index of 3.05 m since the 1950s for all FIA data, and an average increase of 4.73 m for all industrial data since the 1970s. For the latest period analyzed (2000–2012), average site index in planted FIA plots was 1.2 m higher than naturally regenerated FIA plots, and site index in all industrial forestland had a site index almost 3 m greater than planted FIA plots. Overall, we believe this work sets the foundation for better understanding of forest productivity and highlights the importance of intensive silviculture to improve productivity, and as an additional tool to achieve the economic, environmental, and social objectives.

Quantification of the Effect of Soil and Biophysical Parameters on Water Balance Modelling Using SWAT+ in Forested Catchments

ABSTRACTAccurate simulation of water balance components is crucial for effective water and land management practices. The performance of process‐based hydrological models relies on the accurate determination of input variables. The objective of this study is to quantify the magnitude of the effect of soil properties (depth and texture) and biophysical parameters on water balance simulation for a forested catchment using the Soil and Water Assessment Tool (SWAT+). Simulations were carried out for a baseline scenario using the default soil inputs, followed by extending the soil profile depth up to 15 m under three different rainfall scenarios. Sensitivity analysis of model outputs was performed using the SENSitivity ANalysis (SENSAN) programme of the Parameter ESTimation (PEST) suite, coupled with SWAT+. The results showed that increasing soil profile depth to 15 m led to around 50% increase in water yield, and around 20% reduction in percolation with slight variations across the three rainfall scenarios. Evapotranspiration rates were slightly increased in deeper soil profiles. The sensitivity of evapotranspiration, surface runoff, and percolation to LAI‐related biophysical parameters was pronounced, highlighting the need to include such parameters in SWAT+ model calibration. The water uptake from deeper soil layers by deep roots, even in rocky substrates, as documented in the literature, is not adequately captured by the SWAT+ model. Our work showed that in general, developing local soil databases with detailed information on deeper layers is needed, to improve the accuracy and reliability of hydrological models in predicting water fluxes, thereby supporting informed water resources management decisions.

Multiparametric Characterization of Focal Cortical Dysplasia Using 3D MR Fingerprinting.

To develop a multiparametric machine-learning (ML) framework using high-resolution 3 dimensional (3D) magnetic resonance (MR) fingerprinting (MRF) data for quantitative characterization of focal cortical dysplasia (FCD). We included 119 subjects, 33 patients with focal epilepsy and histopathologically confirmed FCD, 60 age- and gender-matched healthy controls (HCs), and 26 disease controls (DCs). Subjects underwent whole-brain 3 Tesla MRF acquisition, the reconstruction of which generated T1 and T2 relaxometry maps. A 3D region of interest was manually created for each lesion, and z-score normalization using HC data was performed. We conducted 2D classification with ensemble models using MRF T1 and T2 mean and standard deviation from gray matter and white matter for FCD versus controls. Subtype classification additionally incorporated entropy and uniformity of MRF metrics, as well as morphometric features from the morphometric analysis program (MAP). We translated 2D results to individual probabilities using the percentage of slices above an adaptive threshold. These probabilities and clinical variables were input into a support vector machine for individual-level classification. Fivefold cross-validation was performed and performance metrics were reported using receiver-operating-characteristic-curve analyses. FCD versus HC classification yielded mean sensitivity, specificity, and accuracy of 0.945, 0.980, and 0.962, respectively; FCD versus DC classification achieved 0.918, 0.965, and 0.939. In comparison, visual review of the clinical magnetic resonance imaging (MRI) detected 48% (16/33) of the lesions by official radiology report. In the subgroup where both clinical MRI and MAP were negative, the MRF-ML models correctly distinguished FCD patients from HCs and DCs in 98.3% of cross-validation trials. Type II versus non-type-II classification exhibited mean sensitivity, specificity, and accuracy of 0.835, 0.823, and 0.83, respectively; type IIa versus IIb classification showed 0.85, 0.9, and 0.87. In comparison, the transmantle sign was present in 58% (7/12) of the IIb cases. The MRF-ML framework presented in this study demonstrated strong efficacy in noninvasively classifying FCD from normal cortex and distinguishing FCD subtypes. ANN NEUROL 2024;96:944-957.

A Systematic Review of Brake Pad

The brake system is a mechanism that allows the vehicle to slow down and remain stationary. Most automobiles uses either one or both disk brake and drum brake system. These brake system components include the brake pedal, brake lines, brake master cylinder, brake booster, brake calipers, brake rotors/drum, and brake pads. The greatest load in the braking of a vehicle falls both on the discs and pads. The friction caused by braking on these parts results in a large amount of heat transfer and particulate emission. Therefore, studies on the brake system have focused on human health, the environment and the economy, in addition to investigating the operation, performance and wear mechanisms of the system. In this study, researchers, citations, keywords, and trending topics of 1,118 studies on brake pad between 1982 and 2023 were investigated by systematic analysis method using R and VosViewer analysis programs. A brief summary of the most cited papers and their topics is given to help researchers who will conduct studies on brakes. These studies focused on wear and emission issues. Non-exhaust emissions have adverse effects on air, aqueous media, roadways and human health. Therefore, it has become mandatory to limit these small particles, which is why they are included in the Euro 7 emission standard. Due to the limitations on braking, future researchers have been informed about the status of non-exhaust emissions.

Human peripancreatic adipose tissue paracrine signaling impacts insulin secretion, blood flow, and gene transcription.

Adipose tissue accumulation around non-adipose tissues is associated with obesity and metabolic disease. One relatively unstudied depot is peripancreatic adipose tissue (PAT) that accumulates in obesity and insulin resistance and may impact beta cell function. Pancreatic lipid accumulation and PAT content are negatively related to metabolic outcomes in humans, but these studies are limited by the inability to pursue mechanisms. We obtained PAT from human donors through the Human Pancreas Analysis Program to evaluate differences in paracrine signaling compared to subcutaneous adipose tissue (SAT), as well as effects of the PAT secretome on aortic vasodilation, human islet insulin secretion, and gene transcription using RNAseq. PAT had greater secretion of IFN-γ and most inflammatory eicosanoids compared to SAT. Secretion of adipokines negatively related to metabolic health were also increased in PAT compared to SAT. We found no overall effects of PAT compared to SAT on human islet insulin secretion, however, insulin secretion was suppressed after PAT exposure from men compared to women. Vasodilation was significantly dampened by PAT conditioned media, an effect explained almost completely by PAT from men and not women. Islets treated with PAT showed selective changes in lipid metabolism pathways while SAT altered cellular signaling and growth. RNAseq analysis showed changes in islet gene transcription impacted by PAT compared to SAT, with the biggest changes found between PAT based on sex. The PAT secretome is metabolically negative compared to SAT, and impacts islet insulin secretion, blood flow, and gene transcription in a sex dependent manner.

Mapping Leaf Mass Per Area and Equivalent Water Thickness from PRISMA and EnMAP

With the continued advancement of spaceborne hyperspectral sensors, hyperspectral remote sensing is evolving as an increasingly pivotal tool for high-precision global monitoring applications. Novel image spectroscopy data, e.g., the PRecursore IperSpettrale della Missione Applicativa (PRISMA) and Environmental Mapping and Analysis Program (EnMAP), can rapidly and non-invasively capture subtle spectral information of terrestrial vegetation, facilitating the precise retrieval of the required vegetation parameters. As critical vegetation traits, Leaf Mass per Area (LMA) and Equivalent Water Thickness (EWT) hold significant importance for comprehending ecosystem functionality and the physiological status of plants. To address the demand for high-precision vegetation parameter datasets, a hybrid modeling approach was proposed in this study, integrating the radiative transfer model PROSAIL and neural network models to retrieve LMA and EWT from PRISMA and EnMAP images. To achieve this objective, canopy reflectance was simulated via PROSAIL, and the optimal band combinations for LMA and EWT were selected as inputs to train neural networks. The evaluation of the hybrid inversion models over field measurements showed that the RMSE values for the LMA and EWT were 4.11 mg·cm−2 and 9.08 mg·cm−2, respectively. The hybrid models were applied to PRISMA and EnMAP images, resulting in LMA and EWT maps displaying adequate spatial consistency, along with cross-validation results showing high accuracy (RMSELMA = 5.78 mg·cm−2, RMSEEWT = 6.84 mg·cm−2). The results demonstrated the hybrid inversion model’s universality and applicability, enabling the retrieval of vegetation parameters from image spectroscopy data and offering a valuable contribution to hyperspectral remote sensing for vegetation monitoring, though the availability of field measurement data remained a significant challenge.