Miracle-dz/UniFAR-FTUs huggingface dataset:
“Alone Again, Naturally”: Mental Health Problems, Level of Personality Functioning, Social Withdrawal and Loneliness in Adolescents Admitted as Acute Inpatients in the Aftermath of the COVID-19 Pandemic

(1) Background: Adolescents admitted as acute inpatients belong to a particularly psychosocially vulnerable population. This study aimed to examine the clinical characteristics of an affected population in Germany using a theory-based approach. (2) Methods: We assessed the mental health problems, levels of personality functioning, and the severity of social withdrawal and loneliness in n = 62 adolescents admitted to an acute psychiatric inpatient unit. Cases were investigated cross-sectionally utilizing standardized psychometric questionnaires from the perspective of the patients and clinical experts. (3) Results: Mental health, level of impaired personality functioning, social withdrawal, and loneliness were all positively associated with the need for acute admission. Further analyses revealed that the level of personality functioning fully mediated the positive association between social withdrawal and mental health problems. In contrast, level of personality functioning only partially mediated the positive association between loneliness and mental health problems. (4) Conclusions: Our results suggest that more impairment in personality functioning might lead to poorer mental health when adolescents socially withdraw in the aftermath of the COVID-19 pandemic. Loneliness, social withdrawal, and the level of personality functioning may help identifying essential characteristics of adolescents admitted to acute psychiatric inpatient units and guide the development of specific interventions.
Integrating Disparate Lidar Datasets for a Regional Storm Tide Inundation Analysis of Hurricane Katrina

Abstract Hurricane Katrina was one of the largest natural disasters in U.S. history. Due to the sheer size of the affected areas, an unprecedented regional analysis at very high resolution and accuracy was needed to properly quantify and understand the effects of the hurricane and the storm tide. Many disparate sources of lidar data were acquired and processed for varying environmental reasons by pre- and post-Katrina projects. The datasets were in several formats and projections and were processed to varying phases of completion, and as a result the task of producing a seamless digital elevation dataset required a high level of coordination, research, and revision. To create a seamless digital elevation dataset, many technical issues had to be resolved before producing the desired 1/9-arc-second (3meter) grid needed as the map base for projecting the Katrina peak storm tide throughout the affected coastal region. This report presents the methodology that was developed to construct seamless digital elevation datasets from multipurpose, multi-use, and disparate lidar datasets, and describes an easily accessible Web application for viewing the maximum storm tide caused by Hurricane Katrina in southeastern Louisiana, Mississippi, and Alabama.
Thermodynamic and dynamic effects on regional monsoon rainfall changes in a warmer climate

This study investigates thermodynamic and dynamic effects on regional monsoon rainfall changes in a warmer climate, by using 20 climate model outputs in the Coupled Model Intercomparison Project (CMIP) Phase 5. In a warmer climate, rainfall is projected to increase in most monsoon regions. However, the rates of increase are quite different among the monsoon regions. A diagnosis based on a linearized moisture budget equation reveals that the regional differences of the rainfall change are largely explained by differences in the dynamic effect. In the Asian monsoon regions, monsoon circulation slows down at a much lower rate than in the other monsoon regions; in addition, surface evaporation increases at a higher rate, resulting in a much larger increase in rainfall. These features are commonly found in both CMIP Phase 3 and Phase 5 model projections.
A New Cardiovascular Mock Loop Driven by Novel Active Capacitance in Normal and Abnormal Conditions

The hybrid mock circulatory loop (hMCL) serves as a crucial hemodynamic simulation tool, offering exceptional flexibility, controllability, and reproducibility for investigating the mechanisms underlying cardiovascular diseases (CVD) in a controlled environment, circumventing the limitations of live organism studies. This paper introduces a novel design and control strategy for hMCL, introducing a novel left ventricle volume–elastance (LVVE) equation that unifies the autoregulation of the Frank–Starling mechanism (FSM) with left ventricle contractility (LVC). LVVE establishes a dynamic link between left ventricular volume (LVV) and LVC, inherently satisfying the regulatory relationship between left ventricular pressure (LVP) and LVV through a mathematical equation. For the first time, LVVE integration significantly enhances the physiological relevance of hMCL by faithfully replicating FSM responses across diverse conditions, including aortic stenosis (AS), variations in systemic vascular resistance (SVR), and heart rate (HR) variations. Furthermore, this study introduces the stability proofs for the discrete closed-loop hMCL, enabling real-time proportional valve control through discrete feedback linearization—an innovative departure from conventional methods. Notably, FSM emulation is achieved by tracking reference maximum and minimum LVV values, eliminating the reliance on predefined functions or existing data, such as the maximum LV elastance value. Rigorous experimental validation, encompassing numerical simulations and comparative analyses with prior research, attests to the precision and efficacy of the proposed hMCL in faithfully replicating both normal and abnormal CV conditions. Significantly, the hMCL demonstrates that increasing HR enhances LVC while maintaining physiological pressures; however, this increase in LVC corresponds with a decrease in LVV, in alignment with human data and FSM principles. Crucially, the coupling mechanism between the FSM and LVC yields results of enhanced physiological fidelity, significantly advancing the hMCL's utility in physiological research. Moreover, the hMCL's capacity to simulate critical cardiovascular scenarios, including AS, SVR fluctuations, and HR variations, underscores its versatility and substantial potential for investigating complex CV dynamics.
Pedagogical innovation and teacher collaborations in supporting student learning success in Indonesia

Abstract The effectiveness of pedagogical innovations in education is a dire need to support students in learning process inside the classrooms. The purpose is to apply pretest-posttest design, which includes a group of students knowledge before and after a pedagogical innovation was introduced in the class. The present study examined the model of the relationship between the variables of pedagogical innovation ability, teacher collaborations, and the teacher–student interaction patterns are associated with student learning success using distance learning methods. This study was conducted in 18 cities of East Java, Indonesia, using a quantitative method in which data was gathered through a survey questionnaire, and it was prepared from extensive literature review and secondary data. The results reveal that, student learning success is not significantly affected by the teacher’s pedagogical innovation ability. It is concluding that persistent efforts are required to strengthen the teacher’s pedagogical innovation ability. It furthers indicate a tendency of student learning success which can be strengthened through better teacher and student interaction, and teachers’ ability to enhance their collaboration with other teachers to develop more innovative learning methods and techniques.
Total Phenols Compounds, Ferric Reducing
Antioxidant Power and Scavenging Activities
of Thymus Vulgaris L. Crop Extracts: Analgesic,
Anti-Inflammatory, Anxiolytic, Antidepressant
Responses in Swiss Strain Male Albino Mice,
and Anti-Bacterial Effects

The purpose of this study was to identify the most important analgesic, anti-inflammatory, anxiolytic, antidepressant, antioxidant and anti-bacterial effects of Thymus vulgaris L. crop extracts obtained after optimization of extract time, temperature and speed conditions. Thyme crop extraction was established through magnetic stirring (MST) using ethanol after optimization of conditions using response surface methodology (RSM). Total phenols content (TPC), ferric reducing antioxidant power (FRAP), and scavenging activity (DPPH) were evaluated and then animals were subjected to Thyme extracts used for neuropharmacological and Antinociceptive properties determination by different experiments. DPPH, FRAP and TPC of Thyme leaves were about 3652.69 mg TE/100g DW; 5835.96 mg TE/100g DW and 1243.73 mg GAE/100g DW, respectively, for a temperature extraction (60ºC), time extraction (15 min) and speed extraction (600 rpm). The predicted values of DPPH, FRAP and TPC represent 92%, 89% and 90%, respectively compared with experiment values. Extraction temperature, extraction time and extraction speed affect positively on the DPPH, FRAP and TPC levels (p<0.05). Animals treated with Thyme extract (250 mg/kg) presented potential neuropharmacological and antinociceptive effects varied according to time of exposure. The promising neuropharmacological and antinociceptive effects obtained from Thyme extracts can be enhanced. The effects of the plant extracts analyzed vary widely not only from the plant species but also especially from the extraction
Assessing Non-market Benefits of Seagrass Restoration in the Gulf of Gdańsk

Seagrass meadows (Zostera marina) are an important ecosystem in the coastal environment of the Baltic Sea. This study employs a discrete choice experiment to value a set of non-market benefits provided by seagrass meadows in the Gulf of Gdansk, Poland. The benefits valued in this study are a reduction of filamentous algae in the water and on the beach; access to seagrass meadows for boaters and divers; and improved water clarity. Results show significant willingness to pay for each attribute and differences of value estimates across different groups of survey respondents. It is discussed how to link choice attributes and estimated values with established ecosystem benefit categories in order to facilitate value transfer.
Comparison between the acoustic fundamental frequency of the voice and the vibration frequency of the vocal folds analyzed by digital kymography

ABSTRACT Purpose To compare the frequency of vocal fold opening variation, analyzed by digital kymography, with the fundamental voice frequency obtained by acoustic analysis, in individuals without laryngeal alteration. Methods Observational analytical cross-sectional study. The participants were forty-eight women and 38 men from 18 to 55 years of age. The evaluation was made by voice acoustic analysis, by the habitual emission of the vowel /a/ for 3 seconds, and days of the week, and digital kymography (DKG), by the habitual emission of the vowels /i/ and /ɛ/. The measurements analyzed were acoustic fundamental frequency (f0), extracted by the Computerized Speech Lab (CSL) program, and dominant frequency of the variation of right (R-freq) and left (L-freq) vocal fold opening, obtained through the KIPS image processing program. The mounting of the kymograms consisted in the manual demarcation of the region by vertical lines delimiting width and horizontal lines separating the posterior, middle and anterior thirds of the Rima glottidis. In the statistical analysis, the Anderson-Darling test was used to verify the normality of the sample. The ANOVA and Tukey tests were performed for the comparison of measurements between the groups. For the comparison of age between the groups, the Mann-Whitney test was used. Results There are no differences between the values of the frequency measurement analyzed by digital kymography, with the acoustic fundamental frequency, in individuals without laryngeal alteration. Conclusion The values of the dominant frequency of the vocal folds opening variation, as assessed by digital kymography, and the acoustic fundamental frequency of the voice are similar, allowing comparison between these measurements in the multidimensional evaluation of the voice, in individuals without laryngeal alteration.
Synergistic Enhancement of Protein Recruitment and Retention via Implant Surface Microtopography and Superhydrophilicity in a Computational Fluid Dynamics Model

The exact mechanisms by which implant surface properties govern osseointegration are incompletely understood. To gain insights into this process, we examined alterations in protein and blood recruitment around screw implants with different surface topographies and wettability using a computational fluid dynamics (CFD) model. Compared with a smooth surface, a microrough implant surface reduced protein infiltration from the outer zone to the implant thread and interface zones by over two-fold. However, the microrough implant surface slowed blood flow in the interface zone by four-fold. As a result, compared with the smooth surface, the microrough surface doubled the protein recruitment/retention index, defined as the mass of proteins present in the area per unit time. Converting implant surfaces from hydrophobic to superhydrophilic increased the mass of protein infiltration 2–3 times and slowed down blood flow by up to two-fold in the implant vicinity for both smooth and microrough surfaces. The protein recruitment/retention index was highest at the implant interface when the implant surface was superhydrophilic and microrough. Thus, this study demonstrates distinct control of the mass and speed of protein and blood flow through implant surface topography, wettability, and their combination, significantly altering the efficiency of protein recruitment. Although microrough surfaces showed both positive and negative impacts on protein recruitment over smooth surfaces, superhydrophilicity was consistently positive regardless of surface topography.
Deep Circulation in the South Atlantic Induced by Bottom-Intensified Mixing over the Midocean Ridge*

Abstract The deep circulation in the South Atlantic is studied through numerical experiments, using an oceanic general circulation model based on z coordinates. The new feature of these numerical experiments is that diapycnal mixing is idealized as strong bottom-intensified mixing on both sides of the midocean ridge; elsewhere diapycnal mixing is set at a low background value. The bottom-intensified diapycnal mixing induces strong equatorward (poleward) flow along the western (eastern) slope of the midocean ridge. In addition, the strong vertical gradient of diapycnal mixing rate induces downwelling in the basin interior and intensifies the upwelling near the axis of the midocean ridge. The strong ridge-following currents induce anticlockwise circulation in both the eastern and western deep basins, and such circulation is opposite to the classical Stommel–Arons circulation. This study indicates that bottom topography, strong mixing over the midocean ridge, and strong localized mixing associated with overf.
Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review

Skin cancer has become increasingly common over the past decade, with melanoma being the most aggressive type. Hence, early detection of skin cancer and melanoma is essential in dermatology. Computational methods can be a valuable tool for assisting dermatologists in identifying skin cancer. Most research in machine learning for skin cancer detection has focused on dermoscopy images due to the existence of larger image datasets. However, general practitioners typically do not have access to a dermoscope and must rely on naked-eye examinations or standard clinical images. By using standard, off-the-shelf cameras to detect high-risk moles, machine learning has also proven to be an effective tool. The objective of this paper is to provide a comprehensive review of image-processing techniques for skin cancer detection using clinical images. In this study, we evaluate 51 state-of-the-art articles that have used machine learning methods to detect skin cancer over the past decade, focusing on clinical datasets. Even though several studies have been conducted in this field, there are still few publicly available clinical datasets with sufficient data that can be used as a benchmark, especially when compared to the existing dermoscopy databases. In addition, we observed that the available artifact removal approaches are not quite adequate in some cases and may also have a negative impact on the models. Moreover, the majority of the reviewed articles are working with single-lesion images and do not consider typical mole patterns and temporal changes in the lesions of each patient.
Flail chest with coagulopathy causes high mortality aggravated by acidosis and hypothermia

Flail chest is a condition where the ribs are broken in 2 or more places in successive ribs. The most common cause is blunt force trauma due to motorcycle accidents, falls or other conditions of bone abnormalities (congenital abnormalities, bone fragility) in young children or the elderly. This flail chest condition causes paradoxical movement of the chest when breathing. In line with the different breathing movements (moving inwards on inspiration and moving outward on expiration) this fracture compartment of the bone can injure the surrounding tissues which can cause complications such as pulmonary contusion with coagulopathy, inadequate ventilation which causes hypoxemia, and hypoventilation which causes acidosis due to reduced oxygenation of the tissues. Flail chest can also cause bleeding which ends in hypoperfusion causing hypothermia which will exacerbate coagulopathy. Flail chest is an important thing that needs to be assessed early after trauma so that no bad complications occur that lead to the triad of death (coagulopathy, acidosis, and hypothermia). Flail chest is an emergency condition frequently caused by blunt thoracic trauma. If it develops to pulmonary contusion it will lead to fatal condition implicates triad of death especially coagulopathy impaired by acidosis and hypothermia.
Lg WAVE PROPAGATION IN A LATERALLY VARYING CRUST AND THE DISTRIBUTION OF THE APPARENT QUALITY FACTOR IN CENTRAL FRANCE

The aim of this study is to evaluate the sensitix;ity of Lg waves to lateral changes of the earth's structure. Considering a simple model of uplift of the Moho, numerical simulations show that the geometrical attenuation of Lg is not much affected by a smooth anomaly of the Moho depth. On the other hand, the passing of the Lg wave through the region of the Moho uplift results in a clear deterioration of the wave shapes, which confirms the occurrence of mode conversions. The presence of an overlying sedimentary basin causes a local amplification of Lg above the basin itself and the appearance, behind the basin, of a secondary surface wave guided in the sediments. The effect of the basin on the Lg wave is found to be reasonably taken into account by applying a local amplification function to the data. We use a data set consisting of records of Lg phases in France to test the conclusions of our numerical study. The mapping of the apparent quality factor, computed from Lg at different frequencies, confirms the interpretation of the strong attenuation of S waves around I Hz in terms of scattering and shows the weak sensitivity of the amplitude of Lg to smooth changes in the depth of the Moho.
An Analysis of Those Factors Influencing Customer’s Online Buying Behaviours

Today, the internet has changed the lifestyle of every person in the world who works in any sector. So, this advancement of technology has also impacted consumers buying behaviour as they move from traditional stores to online stores. Consumers can buy any item, durable or non-durable, at any time or any place without spending extra money or time. In this paper, we identify the factors that motivate customers to shift from traditional to online stores. These factors may vary from person to person, and their buying behaviour is not the same. So, the main motive of this study is to identify those factors that influence consumers' online shopping behaviour using exploratory factor analysis. A survey was conducted to accomplish our objective, in which 341 respondents participated, and the data were analysed using IBM SPSS.
Timing of late Cenozoic tidewater glaciation in the far North Pacific

The onset of late Cenozoic glacial events in the far North Pacific Ocean is recorded by ice-rafted debris in the Yakataga Formation in the Gulf of Alaska. The dating of these events is controversial. Ages based on molluscs suggest that initial late Cenozoic tidewater glaciation occurred in the early middle Miocene (15-16 Ma). Previous work on planktic foraminifera indicates that this event is no older than late Miocene, probably latest Miocene (5-6 Ma). Resolution of this problem is important because the Yakataga Formation is the thickest, most complete, and best exposed repository of late Cenozoic glaciomarine rocks in the northern hemisphere. Investigation of this record has broader implications for global temperature gradients, paleoceanographic development of the far North Pacific, and northern hemisphere glacial history. New planktic foraminiferal data from onshore and offshore Yakataga Formation sections in the Gulf of Alaska are compared to a regional depositional and chronostratigraphic framework in order to test whether the Yakataga record is anomalous or consistent with the paleoclimatic record of the North Pacific. This comparison reconfirms that initial glaciomarine rocks of the Yakataga Formation are no older than late Miocene. New paleomagnetic data suggest that the base of the Yakataga Formation is within the lower Gilbert polarity chron, consistent with the planktic foraminiferal dating and K/Ar dates on glauconite. Correlation of the Yakataga record to key offshore sections in the far North Pacific (Deep Sea Drilling Project [DSDP] Sites 178, 183, 192) provides additional insights into the paleoclimatic significance of these rocks. Uplift of the Alaska coastal ranges, a necessary prelude to alpine glaciation, occurred during late Miocene time. Diatom biofacies (DSDP Sites 183, 192) indicate warm middle Miocene conditions, climatic deterioration during the late middle and early late Miocene time, and initial tidewater glaciation between 5.0 and 6.7 Ma. A relatively warm mid-Pliocene interval succeeded this initial glaciation, which was, in turn, followed by hemisphere-scale glaciation beginning at ∼2.5 Ma. This second phase of Yakataga glaciation may have begun as early as 3.0-3.5 Ma. Glaciomarine rocks in the basal Yakataga Formation mark an important climatic event in the North Pacific Ocean. They are latest Miocene in age, consistent with regional climatic information, and not a middle Miocene climatic anomaly.