Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive vulnerability to depression or overestimation of premenstrual dysphoric symptoms?

True premenstrual dysphoric disorder (PMDD) is hard to diagnose. It has been suggested that women’s expectations influence the symptoms of this disorder, which could increase their vulnerability to depression. This study aimed to estimate PMDD in a group of women by comparing their self-diagnosis with clinical evaluation; differentiate between PMDD symptoms and their intensity and its subthreshold form, determining its social-employment and relational consequences, finding differences in symptoms and vulnerability to depression; and identifying possible cognitive vulnerability to depression in PMDD. 105 women participated, 85 from the general population and 20 women with Major Depressive Disorder were selected. For the self-diagnosis, they filled out several self-reports and PMDD Criteria Indicators A, B, C (APA) and D (by author). The clinical diagnosis was made using a semi-structured interview following DSM-5 criteria. PMDD was overestimated when it was self-reported (51,76%) compared to clinical evaluation (5,88%). Therefore, retrospective and self-reported evaluation could bias what they remember and overestimate the indicators of the disorder and their severity. Cognitive vulnerability to depression for PMDD was not supported.
Objective Calibration Of The Hydrological ModelSEROS For The Odra Watershed

Hydrologic models commonly contain parameters that can only be inferred by a trial-and-error process that adjusts the parameter values to closely match the input-output behaviour of the model to the real system it represents. Traditional calibration procedures, which involve manual adjustment of the parameter values are labour-intensive, and their success is strongly dependent on the experience of the modeller. This paper describes the application of the objective calibration methodology SCE-UA (Shuffled Complex Evolution – University of Arizona) to the hydrological model SEROS for the Odra watershed. SEROS combines the rainfall-runoff model SEWAB (Surface Energy and Water Balance) and a routing scheme. Simulated and observed time periods of the discharge show reasonable agreement during the calibration period as well as for the verification period. The latter includes the 1997 major flooding event.
A Review of Machine Translation Techniques and Proposal to Automatic Translation of Videos

Translation of videos including propulsion technology videos has been one of the toughest jobs to do during the eLearning development process. We have tried it earlier by involving mostly manual work and found it to be tiresome. After the fast evolution of Machine learning and Natural language processing techniques, it is feasible now to do the translation involving and inculcating intelligent techniques in the process. We have reviewed the technologies and techniques and presenting it in this paper.
Auditory discomfort in visually sensitive individuals

Introduction Sensory discomfort occurs in clinical and non-clinical populations. While some of the parameters that evoke visual discomfort have been identified, the parameters of sounds that evoke auditory discomfort are largely unknown. Methods We presented various sounds and asked participants to rate the discomfort they experienced. In Experiments 1 and 2 tones were presented at frequencies between 0.25-8 kHz and modulated sinusoidally in amplitude at frequencies between 0-32 Hz. In Experiment 3 tones were swept in frequency from 500 Hz-2 kHz at sweep rates of 5-50 per second. In Experiment 4, sweeps varied in frequency range and central frequency. Results Discomfort increased with frequency. The effects of the amplitude modulation and sweep rate on discomfort were relatively small and were experienced mainly at low modulation frequencies and high sweep rates. Individuals who experienced visuo-perceptual distortions in the Pattern Glare (PG) Test reported greater auditory discomfort. Discussion This suggests that sensory sensitivity in one modality may occur in another.
Autonomous initialisation of exterior orientation parameters using a collinearity search‐based solution

As is well known, a collinearity‐based solution for the exterior orientation parameters (EOPs) has to deal with their initial approximation. Although this problem has been thoroughly investigated, contemporary literature continues to report it as a major obstacle. To this end, this paper proposes a general and innovative solution for the EOP approximation problem. This solution is formulated as a computational search for the best hypothesis for the approximate values of the EOPs that explains the known correspondence between the observed image coordinates and their counterparts in object space. In particular, the three ranges of the 3D rotation angles are discretised in a coarse‐to‐fine strategy to generate different hypotheses for their values. These hypotheses are combined to form angular triplets that could serve as candidate solutions for the 3D rotation angles. Then, each angular triplet is substituted in a ‘‘linear version’’ of the collinearity equations to solve directly for a candidate hypothesis of the 3D camera position. Together, the two candidate solutions form a hypothesis for the solution vector of the EOPs. Then each hypothesis of the EOPs performs a back‐projection of the object space coordinates, via the collinearity equations, to compute a hypothesis for the image coordinates. The EOP hypothesis that gives the minimum Euclidean distance, or l2 norm, between the observed and the computed image coordinates, is selected as the best global solution for the approximate values of the EOPs.
Role of Insulin Like Growth Factor (IGF) in Lung Cancer with Underlying Diabetes Melitus

Lung cancer is one of the diseases which the highest incidence and mortality in the world. Lung cancer consists of small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) with various subtypes. Diabetes mellitus is one of the comorbidities that is often found in lung cancer patients, which is around 6% - 18% in lung cancer patients. Diabetes is a comorbidity factor that has a serious effect in increasing cancer cell progressivity through the activity of insulin growth factor (IGF) which consists of receptors (IGF-R) and binding proteins (IGFP). The role of IGF produces oncogenic mutations at the DNA level with the process of lung cancer immunity stimulates mitogenesis initiated by insulin and initiates neoplasm cells. IGF receptor mechanism has antineoplastic properties, to fulfill glycemia control that will reduce lung cancer progressivity and prevent clinical worsening so that it can help reduce lung cancer mortality with oral hypoglycemia drugs along with lung cancer therapy modalities such as cytotoxic agents, radiotherapy, immunotherapy, and surgery. The role of IGF is to amplify insulin levels in glucose, lipid, and protein metabolism. IGF can induce cell differentiation and initiation of neoplasm. Diabetes mellitus as a comorbidity can poor clinical outcomes and promote progression through IGF receptor activation in the tumorigenesis process.
Development and Validation of Headspace-Gas Chromatography (HS-GC) Method for the Determination of Potential Genotoxic Impurities in Meloxicam

The development and validation of a specific Headspace-Gas Chromatography (HS-GC) method for the determination of genotoxic impurities (isopropyl chloride, propionaldehyde, 2-chloropropanol, and chloromethane) in Meloxicam. The chromatographic separation of these impurities was accomplished using a nitrogen carrier gas on a DB-624 (6% cyanopropyl phenyl + 94% dimethyl polysiloxane fused silica) (75 m x 0.53 mm, 3.0 µ) GC analytical column. The Flame Ionization Detector (FID) served as the detector with optimized temperatures set at 260°C for the detector and 240°C for the injector port. Additionally, an injection volume of 1.0 mL with a split ratio mode was employed. The performance of this method was assessed through parameters, including system suitability, specificity, linearity, range, accuracy, limit of detection (LOD), limit of quantification (LOQ) and precision. The limit of detection and limit of quantification for isopropyl chloride, propionaldehyde, 2-chloropropanol, and chloromethane were determined to be 2 and 4 ppm, respectively, and for chloromethane 0.8 and 1.6 respectively. The correlation coefficient of the linearity experiment was 0.999 for propionaldehyde, 2-chloropropanol, chloromethane and 1 for isopropyl chloride compounds. Furthermore, the accuracy assessment involved spiking the genotoxic impurities at various levels, demonstrating favourable recovery percentages well within the acceptable range of 80–120% of the limit level. These compelling results substantiate the suitability of the proposed HS-GC method for the accurate determination of isopropyl chloride, propionaldehyde, 2-chloropropanol, and chloromethane in Meloxicam.
Analysis on the economic benefit of hand-picked refuse

Due to the thick dirt band in multiplex coal seam and a great amount of refuse in run-of-mine coal in Wobei Coal Mine,the difficulties of coal quality management are increased.Refuse-picking by hand was put in practice.So the quality of product is improved and the ash of coal is decreased.And undertaking of coal preparation plant is alleviated.The economic benefit is obviously achieved.
Performance Analysis of Gray Level-Based Texture Features Using Chest X-Ray Images

A grown-up COVID-19 recognition approach for chest X-ray images is presented in this paper. The COVID-19 virus is still having a terrible impact on people's health and quality of life around the world. The first essential step in the fight against COVID-19 is effectively screening those who are infected, and imaging of the chest represents a few of the main diagnostic methods. This study used chest X-ray images, this study is intended to automatically identify COVID-19 patients while optimizing detection accuracy by employing a gray-level-based method for extracting features and some classifiers. The dataset consists of 196 COVID-19 and 196 ordinary X-rays of the chest images. The initial phase involves pre-processing a dataset of 392 chest X-ray pictures. The preprocessed images were used to extract grey-level-based characteristics in the second step. The third phase presents the KNN classifier to attain 90.1% accuracy in patient classification.
Quantifying Energy Savings from Optimal Selection of HVAC Temperature Setpoints and Setbacks across Diverse Occupancy Rates and Patterns

With the advent of flexible working arrangements, we are observing a dramatic shift in how buildings are occupied today, which presents an opportunity to optimize Heating, Ventilation, and Air Conditioning system temperature setpoints based on variations in occupancy. Guidelines often suggest the adoption of the highest or lowest setpoint or setback to minimize energy consumption in hot or cold climates, respectively. However, at outdoor temperatures where variations in occupancy heat loads prompt buildings to fluctuate across cooling, free-running, and heating mode, optimal setpoints and setbacks are not always the lowest or highest. In addition, the perturbations caused by rapid switching between setpoint and setback could diminish energy savings due to system destabilization. This paper aims to systematically compare the potential energy savings from fixed and optimal setpoints and setbacks across wide-ranging occupancy scenarios (four occupancy rates and 14 patterns). Energy simulations were conducted using the Department of Energy reference models for small, medium, and large office buildings to enable an exhaustive search of optimal setpoint/setbacks in 17 climate zones. Explored setpoints were 19.5 °C to 25.5 °C with intervals of 1 °C, and setbacks were 17 °C/19 °C for heating and 26 °C/28 °C for cooling. The findings indicate that, on average, while lower occupancy heat loads results in 5.48% energy reduction, a conventional fixed setpoint and setback strategy provides an additional 11.80%, and optimal selection of setpoints and setbacks could provide an additional 34.36–38.08%, emphasizing the untapped potential energy saving. To facilitate practical applications, this paper presents an interactive graphical interface: Optimal Temperature Setpoint Tool.
What drives historical and future changes in photovoltaic power production from the perspective of global warming?

We investigate the drivers of global and regional changes in the potential for photovoltaic (PV) power production from the pre-industrial (1850) to present-day (1985–2014) and until the end of the century (2071–2100), based on output from the Coupled Model Intercomparison Project phase six (CMIP6). Our assessment separates regional contributions from changes in clouds, humidity, temperature, aerosols, and wind speed to the changes in PV power potentials for the first time. Present-day PV power potentials are adversely affected by anthropogenic aerosols compared to the pre-industrial, with a global decrease of the PV power potential by −1.3%. Our results highlight a globally averaged decrease in future PV power potentials primarily driven by temperature and humidity increases by −1.2% to more than −3.5%, depending on the scenario. Regionally different contributions of changes in clouds and aerosols cause heterogeneous spatial patterns in changes of PV potentials, with typically stronger (weaker) influences from clouds (aerosols) in SSP5-8.5 compared to SSP1-2.6. Our results imply that the uncertain response of clouds to warming and aerosol effects are hurdles in quantifying changes in the regional potentials for PV power production.
Stock Market Data Using Data Mining For Feature Extraction

This paper presents a robust approach for feature extraction from stock market data by combining Principal Component Analysis (IPCA) and Moving Averages (MA). IPCA reduces dimensionality, capturing underlying patterns, while MAs identify trends and cyclic behaviors. The synergistic integration of these techniques enhances the extraction of essential features for stock market analysis. Research method effectively uncovers relevant information, offering valuable insights for trading and investment decisions. It addresses dimensionality challenges and identifies meaningful patterns, promoting a deeper understanding of market dynamics.
Is Community-based Conservation an Effective Tool in the Llancahue Watershed, Chile?

Michelle Moorman,Department of Forestry and Environmental Resources,North Carolina State University, Campus Box 8008, Raleigh, NC 27695; mccienek@ncsu.edu Pablo Donoso, Universidad Austral de Chile, Facultad de Ciencias Forestales, Instituto de Silvicultura, Valdivia, Chile; pdonoso@uach.cl Susan Moore, Department of Forestry and Environmental Resources, North Carolina State University, Campus Box 8008, Raleigh, NC 27695; susan_moore@ncsu.edu
INTERNETE RASTOS INFORMACIJOS ĮTAKA PRIIMAMIEMS SPRENDIMAMS DĖL SVEIKATOS PRIEŽIŪROS

Informacinių technologijų naudojimas tapo neatsie­jama žmonių gyvenimo dalimi. Nors internetas atneša daug naudos visuomenei, tačiau stebima ir negatyvioji patirtis – interneto platybės leidžia sklisti nereguliuoja­mai, galimai klaidinančiai informacijai, turinčiai įtakos žmonių sveikatos sprendimams. Internetine rasta su sveikata susijusi informacija gali padidinti visuome­nės informuotumą apie sveikatos priežiūrą, tačiau dėl prastos informacijos kokybės ir menko sveikatos raštin­gumo gali sumažėti pasitikėjimas gydytojais. Straips­nyje pristatomo tyrimo tikslas – atskleisti internete rastos informacijos įtaką sprendimams dėl sveikatos priežiūros. Tyrimui atlikti buvo pasirinkta kiekybinio tyrimo strategija, duomenų rinkimui panaudota anoni­minė anketinė apklausa internetu. Duomenys apdoroti naudojantis statistinių duomenų apdorojimo programa „Microsoft Office Excel 2019“. Tyrimo rezultatai at­skleidė, kad tyrimo dalyviai su sveikata susijusios in­formacijos dažniausiai ieškojo internete ir su sveikata susijusiomis naujienų svetainėmis. Norėdami patikrinti rastą informaciją, tiriamieji labiau buvo linkę naudotis patikimais šaltiniais, tokiais kaip Lietuvos Respublikos sveikatos apsaugos ministerijos (LR SAM) svetainė ir mokslinės duomenų bazės. Tyrimas parodė, kad daugiau nei ketvirtadaliui respondentų internete rasta informa­cija dažnai turi įtakos jų sveikatos priežiūros spren­dimams, 1 iš 20 respondentų internete rasta informa­cija visados prisideda prie jo sprendimų dėl sveikatos priežiūros. Internete respondentai dažniausiai ieško informacijos tokioms būklėms ar jų simptomams mal­šinti, kaip skausmas, kvėpavimo takų infekcijos, virš­kinamojo trakto sutrikimai ir odos ligos. Daugiau nei penktadalis respondentų, remdamiesi internete rastais patarimais, neatsiklausdami gydytojo pradėjo vartoti vaistus, kurių dauguma buvo nereceptiniai vaistai nuo skausmo, peršalimo, viduriavimo, alergijos ir odos ligų. Užfiksuota ir pora atvejų, kai respondentai pradėjo var­toti receptinius vaistus, tokius kaip antidepresantai ir antibiotikai. Beveik dešimtadalis respondentų nutraukė vaistų vartojimą dėl internete pateiktos informacijos.
Meaningful Social Inclusion and Mental Well-Being Among Autistic Adolescents and Emerging Adults: Protocol for a Community-Based Mixed Methods Study

Background In the United States, autistic people face high rates of co-occurring mental illnesses and premature death due to self-harm, which are indicators of threats to mental well-being. Social inclusion may enhance mental well-being and resilience among autistic people. According to Simplican and colleague’s (2015) model of social inclusion for people with intellectual and developmental disabilities, social inclusion is an interaction between community participation and interpersonal relationships. There is limited research on social inclusion that includes the integration of interpersonal relationships and community participation among autistic people or the impact of social inclusion on the well-being of autistic people. Additionally, little evidence exists regarding how autistic people prefer to be included in the community or form interpersonal relationships. Objective The long-term objective of this project is to improve social inclusion factors to support the mental well-being of autistic people. This protocol describes a community-based, mixed methods pilot study to develop a definition of meaningful social inclusion for autistic people and to understand the relationship between meaningful social inclusion and mental well-being among autistic adolescents and emerging adults. Methods The project uses a community-based, sequential mixed methods design with a formative phase (Phase 1) that informs a survey phase (Phase 2) and concludes with a process evaluation of the community engagement process (Phase 3). During Phase 1, we will recruit 10 community partners (autistic adults and stakeholders) and conduct sharing sessions to cocreate a definition of meaningful social inclusion and a survey of meaningful social inclusion and well-being. During Phase 2, we will recruit 200 participants (100 autistic adolescents and emerging adults and 100 caregivers) to complete the survey. We will examine whether meaningful social inclusion predicts well-being given sociodemographic factors using ordered logistic regression, with well-being categorized as low, medium, and high. During Phase 3, the community partners from Phase 1 will complete a survey on their experiences with the project. Results Ethics approval was obtained for this project in March 2023. We have recruited community partners and started the Phase 1 focus groups as of September 2023. Phase 2 and Phase 3 have not yet started. We expect to complete this study by March 2025. Conclusions Using a community-based, mixed methods approach, we intended to develop a definition of meaningful social inclusion for autistic people and understand the role meaningful social inclusion plays in the well-being of autistic people. International Registered Report Identifier (IRRID) PRR1-10.2196/52658
Ancient and Modern Subduction Zone Contributions to the Mantle Sources of Lavas from the Lassen Region of California Inferred from Lu–Hf Isotopic Systematics

Hafnium isotopic compositions have been determined on a suite of INTRODUCTION calc-alkaline and high-alumina-olivine tholeiitic lavas from the The geochemical and isotopic variability of mantle wedge Lassen region of California and are used, in conjunction with peridotites beneath continental volcanic arcs is poorly previously published mineralogical, geochemical, and isotopic data, constrained. This is a result of the fact that most of what to constrain their petrogenesis. Positive correlation between Hf is known about the geochemistry of the mantle wedge is values and geochemical indices of the modern subduction component inferred from the composition of basaltic arc lavas, which, indicates that the isotopic compositions of the calc-alkaline lavas although derived from the wedge, are affected by variable record addition of radiogenic Hf from the subducted slab. However, contributions from the subducting slab and continental the addition of the modern subduction component increases the Hf crust (e.g. Gill, 1981; Tatsumi et al., 1986; Hawkesworth values of most calc-alkaline lavas by <0·5 units over estimates of et al., 1993, 1994). Despite these limitations there is non-subduction enriched peridotites of the mantle wedge. The Lu–Hf significant evidence to suggest that mantle wedge periisotopic systematics of the Lassen lavas suggest that the calc-alkaline dotites are heterogeneous in composition and mineralogy. magmas have equilibrated with garnet at some point in their history, For example, it has been postulated that the compositions whereas the tholeiitic magmas have not. These observations require of mantle peridotites beneath the Cascade arc vary from the two lava types to be derived from different sources. The isotopic compositions that are similar to sources for mid-ocean variability of the Lassen lavas cannot be produced by mixing mantle ridge basalt (MORB), Hawaiian ocean-island basalt sources inferred to be present in the eastern–central Pacific and (OIB), and high-alumina-olivine tholeiites (HAOT) from western USA with a modern subduction component. Instead, the the Basin and Range province (Hughes, 1990; Leeman isotopic variability is consistent with mixing of a depleted mantle et al., 1990; Bacon et al., 1997; Borg et al., 1997; Clynne source, a more fertile mantle source enriched by an ancient subduction & Borg, 1997). The restite mineralogy of the source component, and a modern subduction component. regions for Cascade magmas is poorly constrained as well. For example, experiments conducted by Baker et al. (1994) found that calc-alkaline basalts from the Mt. Shasta region of California did not have garnet on their liquidus, and Reiners et al. (2000) were able to model
Assessing Potential Heteroscedasticity in Psychological Data: A GAMLSS approach

This paper provides a tutorial for analyzing psychological research data with GAMLSS , an R package that uses the family of generalized additive models for location, scale, and shape. These models extend the capacities of traditional parametric and non-parametric tools that primarily rely on the first moment of the statistical distribution. When psychological data fails the assumption of homoscedasticity, the GAMLSS approach might yield less biased estimates while offering more insights about the data when considering sources of heteroscedasticity. The supplemental material and data help newcomers understand the implementation of this approach in a straightforward step-by-step procedure.