Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Green Innovation Strategy on the Performance of New Venture, Mediating of Organizational Learning Ability

This paper focuses on green innovation strategy. From the two perspectives of "why" and "how", it conducts research around the theme of "the impact of green innovation strategy on the performance of new ventures", trying to answer whether green innovation strategy can have an impact on the performance of new ventures. Positive impact on business performance? How can we realize the transformation of green innovation strategy into the performance of new ventures? Does environmental uncertainty have a certain regulating effect? In order to further explore the above issues, based on the situation that manufacturing enterprises urgently need to achieve green transformation and innovative development, this paper chooses new manufacturing enterprises as the research object and carries out the green innovation strategy of new enterprises. The impact of green innovation strategies on the performance of new enterprises Research on the mechanism of action. This study is based on the basic view of natural resources, follows the research logic of "strategy-behavior-performance", introduces organizational learning capabilities as the intermediary explanation mechanism in the path of "green innovation strategy-new venture performance", and uses green technology turbulence as a contingency factor. 384 sample data were used for empirical testing. This study draws the following conclusions. First of all, green innovation strategy, as a proactive environmental strategy, has a significant positive impact on the performance improvement of new ventures. Organizational learning capability mediates the positive relationship between green innovation strategy and new venture performance and its dimensions; secondly, environmental uncertainty plays a significant moderating role in green innovation strategy and new venture performance. This paper deeply explores the mechanism of green innovation strategy on the performance of new ventures. The research is of great significance and has certain reference value in driving my country's new ventures to choose green innovation strategies, improve corporate performance, and promote the green transformation of the economy and society.
From global to local : Human mobility in the Rome coastal area in the context of the global economic crisis*

This paper focuses on the way problems caused by global changes overlap with local problems in coastal zones. It verifies the existence and dimensions of the global-local phenomenon by examining the impact of the recent international economic crisis on the core and ring administrative subdivisions of the coastal zone of the Rome metropolitan area from 2008 to 2010. In particular, it compares housing market trends with available statistics on tourism and migration to provide an indicator of the economic crisis. The results of the research show that to some extent, there is a connection between a drop in house prices and a decreased flow of human mobility.
Cost-Sensitive Models to Predict Risk of Cardiovascular Events in Patients with Chronic Heart Failure

Chronic heart failure (CHF) is a clinical syndrome characterised by symptoms and signs due to structural and/or functional abnormalities of the heart. CHF confers risk for cardiovascular deterioration events which cause recurrent hospitalisations and high mortality rates. The early prediction of these events is very important to limit serious consequences, improve the quality of care, and reduce its burden. CHF is a progressive condition in which patients may remain asymptomatic before the onset of symptoms, as observed in heart failure with a preserved ejection fraction. The early detection of underlying causes is critical for treatment optimisation and prognosis improvement. To develop models to predict cardiovascular deterioration events in patients with chronic heart failure, a real dataset was constructed and a knowledge discovery task was implemented in this study. The dataset is imbalanced, as it is common in real-world applications. It thus posed a challenge because imbalanced datasets tend to be overwhelmed by the abundance of majority-class instances during the learning process. To address the issue, a pipeline was developed specifically to handle imbalanced data. Different predictive models were developed and compared. To enhance sensitivity and other performance metrics, we employed multiple approaches, including data resampling, cost-sensitive methods, and a hybrid method that combines both techniques. These methods were utilised to assess the predictive capabilities of the models and their effectiveness in handling imbalanced data. By using these metrics, we aimed to identify the most effective strategies for achieving improved model performance in real scenarios with imbalanced datasets. The best model for predicting cardiovascular events achieved mean a sensitivity 65%, a mean specificity 55%, and a mean area under the curve of 0.71. The results show that cost-sensitive models combined with over/under sampling approaches are effective for the meaningful prediction of cardiovascular events in CHF patients.
Pain management in periodontal therapy using local anesthetics and other drugs: an integrative review

Background Surgical and non-surgical periodontal procedures often lead to postoperative pain. Clinicians use pharmacological methods such as anesthetics, anti-inflammatory drugs, and analgesics for relief. However, the multitude of options makes it challenging to select the best approach for routine dental care. Objective This review aimed to describe previous studies regarding the pharmacological management used for pain control during periodontal procedures as well as factors that may interfere with patients' perception of pain. Methods We included studies (period of 2000–2023, whose approach corresponded to the pharmacological protocols used for preoperative, trans-operative, and postoperative pain control in adult patients undergoing surgical and non-surgical periodontal therapy. Results A total of 32 studies were included in the analysis, of which 17 (53%) were related to anesthetic methods and 15 (47%) were related to therapeutic protocols (anti-inflammatory/analgesic agents). These studies predominantly involved nonsurgical periodontal procedures. Studies have reported that factors related to age, type of procedure, and anxiety can influence pain perception; however, only seven of these studies evaluated anxiety. Conclusions Numerous methods for pain control can be applied in periodontal therapy, which are accomplished through anesthetic methods and/or therapeutic protocols. Factors such as anxiety, age, and type of procedure are related to pain perception in patients. Thus, it is the responsibility of dentists to evaluate each clinical situation and define the best protocol to follow based on the literature.
Exploring attitudes of Omani students towards vacations

This study uses the theory of ‘push’ and ‘pull’ travel motivations to investigate holidaying attributes of Omani students studying at the Colleges of Applied Sciences, Ministry of Higher Education in Oman. The results indicate that the three most important push motivations for Omani students to travel abroad were ‘to be mentally refreshed’, followed by ‘to learn something new or increase my knowledge’, and ‘to spend my time without worrying about my study’. The pull factors were such as ‘safety and security at destination even when travelling alone’, ‘natural attractions (sea, beach, coral, mountain, lakes, rivers, streams, wildlife)’, and ‘availability of mosques (places of worship)’. Furthermore, the study indicates that gender had a significant impact on some of the travel motivations.
The Use of Ahuachapan Fluid Chemistry to Indicate Natural State Conditions and Reservoir Processes during Exploitation

Chemical analyses of production fluids from Ahuachapan, El Salvador, have been used to indicate natural state reservoir fluid temperatures and chloride concentrations and reservoir processes resulting from exploitation. Geothermometer temperatures (Na--K--Ca and SiO{sub 2}) and calculated aquifer Cl for early flows show a gradient from about 265{degree}C and 9000 ppM Cl in the western part of the well field to 235{degree}C and 6000 ppM Cl in the eastern part. The geochemical temperatures are 10--20{degree}C higher than early downhole measurements. Since exploitation started, pressures have declined over most of the drilled area with boiling and excess-enthalpy discharges in the eastern and western parts. In the center of the field, a number of wells show mixing with cooler, less-saline water. These wells are nearly coincident with a major NE-SW oriented fault that may be the conduit for downward recharge of cooler fluids from an overlying aquifer. 12 refs., 9 figs., 1 tab.
Vertical cloud properties in the tropical western Pacific Ocean: Validation of the CCSR/NIES/FRCGC GCM by shipborne radar and lidar

[1] This study examined the vertical cloud structure over the tropical western Pacific Ocean using 95-GHz radar and lidar data observed from September to December 2001 during the MR01-K05 cruise of the research vessel Mirai. The cloud vertical structure was homogeneous between 6 and 10 km, and the maximum cloud occurrence was 20% and located at 12 km. The mean precipitation occurrence was 11.5% at 1 km. The cloud fraction, radar reflectivity factor, and lidar backscattering coefficient were simulated along the Mirai cruise track using the output from the Center for Climate System Research, University of Tokyo; National Institute for Environmental Studies; and Frontier Research Center for Global Change (CCSR/NIES/FRCGC) general circulation model (GCM). The original output showed the maximum cloud fraction at 15 km; however, after considering attenuation and the minimum sensitivity of the radar, the maximum shifted to 12 km. The model overestimated the cloud fraction above 8 km, with the simulated fraction more than twice as large as the observed fraction. The model overpredicted the frequency of deep convection reaching the upper atmosphere above 12 km. Further, it overestimated precipitation frequency. Simulated radar reflectivity was underestimated throughout the entire altitude range, whereas simulated and observed lidar backscattering were in good agreement above 12 km with subgrid-scale treatment. The ice effective radius of 40 μm and ice water content were reasonable in thin clouds, but the radius was underestimated in other regions. The simulated liquid water content was overestimated.
Rising ELA and expanding proglacial lakes indicate impending rapid retreat of Brady Glacier, Alaska

Brady Glacier is a large Alaskan tidewater glacier that is beginning a period of substantial retreat. Examination of 27 Landsat and MODIS images from the period 2003 to 2011 indicates that Brady Glacier has a mean equilibrium line altitude (ELA) of 745 m and accumulation area ratio (AAR) of 0.40. The zero balance ELA is 600 m and equilibrium AAR 0.65. The negative mass balance associated with the increased ELA has triggered thinning of 20–100 m over most of the glacier below the ELA from 1948 to 2010. The thinning has caused substantial retreat of seven calving distributary termini of the glacier. Thinning and retreat have led to an increase in the width of and water depth at the calving fronts. In contrast, the main terminus has undergone only minor retreat since 1948. In 2010, several small proglacial lakes were evident at the terminus. By 2000, a permanent outlet river issuing from Trick Lake had developed along the western glacier margin. Initial lake development at the terminus combined with continued mass losses will lead to expansion of the lakes at the main terminus and retreat by calving. The glacier bed is likely below sea level along the main axis of Brady Glacier to the glacier divide. Retreat of the main terminus in the lake will likely lead to a rapid calving retreat similar to Bear, Excelsior, Norris, Portage and Yakutat glaciers. Copyright © 2013 John Wiley & Sons, Ltd.
Exploring oxidative stress pathways in Geobacter sulfurreducens: the redox network between MacA peroxidase and triheme periplasmic cytochromes

The recent reclassification of the strict anaerobe Geobacter sulfurreducens bacterium as aerotolerant brought attention for oxidative stress protection pathways. Although the electron transfer pathways for oxygen detoxification are not well established, evidence was obtained for the formation of a redox complex between the periplasmic triheme cytochrome PpcA and the diheme cytochrome peroxidase MacA. In the latter, the reduction of the high-potential heme triggers a conformational change that displaces the axial histidine of the low-potential heme with peroxidase activity. More recently, a possible involvement of the triheme periplasmic cytochrome family (PpcA-E) in the protection from oxidative stress in G. sulfurreducens was suggested. To evaluate this hypothesis, we investigated the electron transfer reaction and the biomolecular interaction between each PpcA-E cytochrome and MacA. Using a newly developed method that relies on the different NMR spectral signatures of the heme proteins, we directly monitored the electron transfer reaction from reduced PpcA-E cytochromes to oxidized MacA. The results obtained showed a complete electron transfer from the cytochromes to the high-potential heme of MacA. This highlights PpcA-E cytochromes’ efficient role in providing the necessary reducing power to mitigate oxidative stress situations, hence contributing to a better knowledge of oxidative stress protection pathways in G. sulfurreducens.
The impact of exercise on mental health during the COVID-19 pandemic: a systematic review and meta-analysis

Introduction Amidst the COVID-19 pandemic, there has been a global surge in mental health challenges. This study (PROSPERO CRD42023443860) aimed to investigate the impact of exercise on individuals’ mental health through systematic evaluation and meta-analysis to develop a scientific exercise program. Methods We systematically searched the literature up to August 2023 using PubMed, Web of Science, and SCOPUS. The Cochrane Risk Assessment Tool gaged the methodological quality of the included literature. Results Among the initially identified 10,343 search records, 12 studies were deemed to meet the criteria for systematic review and meta-analysis. Exercise significantly improved anxiety (SMD -0.81, 95% CI -1.10 to −0.52, p < 0.00001), depression (−1.02, 95% CI -1.42 to −0.62, p = 0.0001), stress (−1.05, 95% CI -1.33 to −0.78, p < 0.00001), and quality of life (1.11, 95% CI 0.81 to 1.41, p < 0.00001). Subgroup analyzes indicated that a single exercise session lasting 30–40 min had the most pronounced effect on reducing anxiety (−1.29, 95% CI -1.12 to −0.86, p < 0.00001) and depression (−1.76, 95% CI -2.24 to −1.28, p < 0.00001). Similarly, an exercise frequency of 3–5 times per week yielded the greatest benefits for anxiety (−1.31, 95% CI -2.15 to −0.46, p < 0.00001) and depression (−1.27, 95% CI -2.11 to −0.41, p = 0.0003). Notably, exercise exhibited its most significant impact on depression improvement in the 40–64 age group (−1.32, 95% CI -1.78 to −0.86, p < 0.00001). Moreover, exercise notably enhanced anxiety levels among individuals in middle and upper-income brackets (−0.99, 95% CI -1.11 to −0.87, p < 0.00001). Conclusion Exercise alleviated anxiety disorders, depression, stress levels, and quality of life during the COVID-19 pandemic. The most significant impact on anxiety and depression improvement is achieved by engaging in 30–40 min of exercise sessions, 3–5 times per week.
A User Interface Design for Acquiring Statistics from Video

This paper introduces a graphical user interface approach to facilitate an efficient and timely generation of statistic data from input videos. By means of a carefully-designed graphical user interface, users can interactively add in various kinds of markers, known as the statistic inducers, on the screen of an input video to specify the areas of interest corresponding to the locations of relevant events. These inducers are in the form of two-dimensional points, lines, polygons, and grids, and can be put on the video screen with great ease. Using these inducers, we not only can efficiently customize the system for a given statistic generation task; in addition, we can also precisely constrain the time-consuming space-time video analysis process (as well as any additional analysis process like optical flow computation or object recognition) on the user-specified areas. To demonstrate the efficacy of the proposed approach, we developed a prototypic system and experimented it in two different statistic generation cases: dormitory light switching and road traffic. In both cases, we just need a few minutes of UI customization time to set up the inducers; once this is done, timely statistics can be automatically generated subsequently.
Tone Recognition of Pahari Language

Pahari is an under-resourced, endangered, and undocumented tonal language, spoken in Pakistan Administered State of the Azad Jammu and Kashmir (AJK). Preliminary studies have established the notion, that the Pahari language has three discrete level tones; high, mid, and low. In the current study, tone distribution in monosyllabic words is measured with 45 iterations consisting of 15 high, 15 mid, and 15 low tones, collected from 5 native speakers of Pahari language. An attempt has been made to automatically recognize the phonologically contrastive tones in Pahari language, by using the Random Forest and the Linear Mixed Effect Models with f0 as a preliminary feature along with duration, intensity, F1, F3, and (Cepstral Peak Prominence) CPP. The results showed that the overall accuracy of the Random Forest was higher than the accuracy of the linear mixed effect model. Additionally, the mean f0 played a highly significant role in the prediction of tone while duration, intensity, F1, F3, and CPP played a less significant role.
Preliminary assessment of the NOAA-21 VIIRS on-orbit reflective solar band calibration and performance

On November 10, 2022, the NOAA-21 (also known as Joint Polar Satellite System (JPSS)-2) Visible Infrared Imaging Radiometer Suite (VIIRS) was successfully launched and operated on-orbit. The NOAA-21 VIIRS is the third VIIRS instrument in the series, following S-NPP and NOAA-20, providing 22 spectral bands that cover a spectral range from 0. 402 μm to 12.5 μm. From the intensive Post Launch Tests (PLTs), the NOAA-21 VIIRS Sensor Data Record (SDR) achieved beta maturity status on Feb. 23, 2023 and is expected to achieve provisional and validated maturity in the next few months, ensuring the performance requirements are met and data are of high quality with on-orbit calibration. The accuracy of the current NOAA-21 VIIRS Reflective Solar Band (RSB) calibration was limited by in the Solar Diffuser (SD) degradation estimates, which proportionally affect the accuracy of the on-orbit RSB calibration. To achieve the beta maturity status, the SD degradation was omitted from the initial radiometric response analyses, and calculated solar calibration scaling coefficients (F-factors) were extrapolated to the start of the on-orbit operations that marked the onset of the SD degradation. To mitigate the unexpected SD reflectance variability, a series of yaw maneuvers will be performed as a part of the PLTs during the Intensive Calibration and Validation (ICV) phase. In addition to the yaw points, on-orbit Solar Diffuser Stability Monitor data sets will fill the intermediate angles between the yaw angles. The updated estimates of the SD degradation (H-factors) will be applied in the SD F-factor calculations. Finally, the improved SD F-factors will be compared and validated with vicarious calibration results, such as lunar F-factors. This paper will evaluate the impacts of SD-based calibration updates for NOAA-21 RSBs through assessing the radiometric biases of NOAA-21 VIIRS RSBs relative to NOAA-20 ensuring the radiometric accuracy of the NOAA-21 SDR products.
Reconstruction of solar irradiance since 1610: Implications for climate change

Solar total and ultraviolet (UV) irradiances are reconstructed annually from 1610 to the present. This epoch includes the Maunder Minimum of anomalously low solar activity (circa 1645-1715) and the subsequent increase to the high levels of the present Modern Maximum. In this reconstruction, the Schwabe (11-year) irradiance cycle and a longer term variability component are determined separately, based on contemporary solar and stellar monitoring. The correlation of reconstructed solar irradiance and Northern Hemisphere (NH) surface temperature is 0.86 in the pre-industrial period from 1610 to 1800, implying a predominant solar influence. Extending this correlation to the present suggests that solar forcing may have contributed about half of the observed 0.55°C surface warming since 1860 and one third of the warming since 1970.
Physical Fitness, Hemodynamic Parameters and Body Fat Percentage in Urban Cameroonian Adolescents with Normal Weight and Overweight/Obese

: This study aims to assess the effects of overweight/obesity on the physical fitness and hemodynamic parameters in urban Cameroonian adolescents aged 11 to 18. Thus, a sample of 804 participants, namely: 282 boys and 532 girls was taken and divided into two groups according to their Body Mass Index. The first group consisted of 534 normal-weighted participants (66.42%) and the second of 270 overweight participants (33.58%). Individual cards were used to collect anthropometric, hemodynamic and physical fitness data from adolescents. Results shown significant difference in systolic blood pressure, diastolic blood pressure and resting heart rate between normal-weighted and overweight participants (P>0.05). Moreover, significant increase (p˂0.05) in Hand grip strength and Sit-ups for 30 sec associated with a decrease in 10×5-m shuttle run test and Standing broad jump test were observed in overweight adolescents of both sexes at all age groups. In addition, aerobic endurance results showed a significant decrease (P>0.05) in maximal oxygen uptake in overweight participants compared to normal-weighted. The results of this study show that being overweight imposes abnormal mechanics on body movements that can lead to a deterioration of cardiovascular system and physical fitness of adolescents
Mapping variations in plagioclase felspar mineralogy using airborne hyperspectral TIR imaging data

The Na-Ca chemistry of plagioclase felspar was measured and mapped remotely using airborne hyperspectral thermal infrared (TIR) SEBASS image data collected from a well-exposed porphyry system near Yerington, Nevada. This followed correction of the airborne SEBASS data for instrument and atmospheric effects and temperature-emissivity separation and was validated through associated field and laboratory studies. The later found a linear correlation between the relative intensities of the plagioclase /spl mu/FTIR emissivity spectral features at 9.6 and 10.0 /spl mu/m and the XRD dspacing of the felspar 111/130 hkl reflection, both of which are sensitive to the Na-Ca chemistry of plagioclase. The SEBASS derived felspar mineralogy maps clearly show variations in Na-Ca plagioclase felspar chemistry related to the nature of the host rock and any superimposed hydrothermal alteration.