Miracle-dz/UniFAR-FTUs huggingface dataset:
MOOD DETECTION BASED ON LAST SONG LISTENED ON SPOTIFY

A Song Is One Medium Used To Express Someone’s Emotion, Whether As A Performer Or Audience. With The Advancement Of Machine Learning And A Deeper Understanding Of Sentiment Analysis, We Decided To Study Mood Detection Based On The Last Song Listened To. One of the direct ways to measure someone's mood is by using a Four-dimensional Mood Scale (FDMS) device. This device categorized mood into four dimensions: low valence, high valence, low arousal, and high arousal. In this article, we used a variation of FDMS adapted to the Indonesian language called FDMS-55 to compare the result from our model. Our model is trained using song data collected from Spotify and Genius using their respective API (Application Programming Interface). We classified manually into a mood class and then processed further using Azure Cognitive Service Text Analytics API. Based on evaluation conducted on the model, the FastTreeOva algorithm produces the highest accuracy both on valence class with 0.8901 and arousal class with 0.9167. The comparison between the model result and respondent's FDMS-55 device result is made with cosine similarity and yields similarity value of 0.770 with 0.103 standard deviation. It is concluded that someone's mood is related to the song they listened to, and our model can precisely predict someone's mood based on the last song they listened to.
Self-Field Theory: A New Mathematical Description of Physics

Introduction Classical Origins 1671-1903 1903-2010 Self-Field Theory Introduction Self-Field Theory Solving Maxwell's Equations Using Bi-spinors The Hydrogen Atom: Principal Mode Forces and Energies of the Principal Mode Analytic Solution for Infinite Mass Proton Complete Azimuthal Mode Solution: Balmer Formula Stability The Proton's Motion in the Hydrogen Atom Comparison of EMSFT Solution with Other Field Solutions Planck's Constant SFT and Its Applications to Other Physical Phenomena SFT Gravitational Model Based on Dielectromagnetics Strong Nuclear Fields Photonic States and Compounds The Photon Introduction Analytic Estimate for the Mass of the Photon Spin and Elementary Particles Electron-Proton Shells and the Pauli's Exclusion Principle Boson Structure Gravitational Structure of the Universe Photon Transit Across the Cosmos and Cosmic SFT Binaries The Phonon Introduction Brief Outline of Recent Acoustic and Vibrational Research The Phonon and Cosmology Solving the Equations of Electromagnetoacoustics Self-Field Theory: A Mathematical Model of Physics Repairing Past Inaccuracies Appendix A: Mathematical Preliminaries Solving Maxwell's Partial Differential Equations Electromagnetic Particle and Field Motions Described via Spinors Centre-of-Motion E- and H-Fields Imaginary Numbers in 4-D Coordinate Systems The Condition for Zero Nett Radiation by Dipole Antennas The Condition for Zero Nett Radiation in Atoms Uncertainty Over-constraint of Classical and Quantum EM Equations Appendix B: Comments on Physical Constants, Equations, and Standards Appendix C: Self-Field Theory: New Photonic Insights The Equations of CEM, QFT, and SFT The Electric and Magnetic Fields of CEM, QFT, and SFT Appendix D: Frequently Asked Questions Appendix E: The Search for a General Physical Mathematics Single-Time and Single-Coordinate Data. Determining the Velocity of a Rod Based on the Readings of the Synchronized Clocks Appurtenant to It Relation of Rod Velocity and Coordinate Uncertainties Calculated Using Single-Time Data Relation of Rod Energy and Time Uncertainties Calculated Using Single-Coordinate Data A Physical Clock. Relation of the Impulse and Coordinate Uncertainties of a Spatially Extended Body Conclusion
Quantitative Three-Dimensional Measurements of Acetabular Fracture Displacement Could Be Predictive for Native Hip Survivorship

This study aims to develop a three-dimensional (3D) measurement for acetabular fracture displacement, determine the inter- and intra-observer variability, and correlate the measurement with clinical outcome. Three-dimensional models were created for 100 patients surgically treated for acetabular fractures. The ‘3D gap area’, the 3D surface between all the fracture fragments, was developed. The association between the 3D gap area and the risk of conversion to a total hip arthroplasty (THA) was determined by an ROC curve and a Cox regression analysis. The 3D gap area had an excellent inter-observer and intra-observer reliability. The preoperative median 3D gap area for patients without and with a THA was 1731 mm2 versus 2237 mm2. The median postoperative 3D gap area was 640 mm2 versus 845 mm2. The area under the curve was 0.63. The Cox regression analysis showed that a preoperative 3D gap area > 2103 mm2 and a postoperative 3D gap area > 1058 mm2 were independently associated with a 3.0 versus 2.4 times higher risk of conversion to a THA. A 3D assessment of acetabular fractures is feasible, reproducible, and correlates with clinical outcome. Three-dimensional measurements could be added to the current classification systems to quantify the level of fracture displacement and to assess operative results.
Mass Eigenstate Mixing in the 4-Generation Dirac-Kaehler Extension of the SM

We derive the canonical form of mixing of the mass eigenstates in the lepto-quark sector of the 4-generation Dirac-Kaehler extension of the SM (DK-SM) [1,2]. The 4 x 4 CKM matrix of DK-SM is expressed in terms two U(2) matrices. It depends on 2 real parameters and 3 phases. The resulting observed 3 x 3 CKM matrix exhibits previously unknown tree-level algebraic relations among its elements. The simplest two, V_ts = V_cb and V_cs = V_tb, are supported by the experimental data [3]. The 4 x 4 CKM matrix can be fully reconstructed from the experimental values of the 3 x 3 CKM matrix. Thus, except for masses of the fourth generation, the quark sector of the DK-SM theory can be reconstructed in its entirety using the 3 x 3 CKM matrix precision measurements.
Depression Among Patients with Chronic Pain, in Jimma Town Public Hospitals, Ethiopia

Introduction The co-occurrence of depression and chronic pain causes additive adverse effects on patients” outcomes, response to treatment, and poorer functioning. Despite this, there is a dearth of studies in developing countries. Therefore, this study aimed to provide a new insight into the understanding of the prevalence and associated factors between chronic pain and depression among patients with chronic pain in Jimma town public hospitals. Methods Institution-based cross-sectional study was conducted in Jimma town public hospitals. A total of 422 sampled patients with chronic pain participated in the study. Depression was assessed using the PHQ-9 scale. The coded data were entered to Epi Data version 3.1 and exported into SPSS version 23.0 for analysis. Logistic regression analysis model was used to identify factors independently associated with depression. Result The prevalence of depression among chronic pain patients was found to be 43.3%. The number of presenting compliant (AOR = 3.092, 95% CI: 1.684-5.678), history of depression (AOR = 0.319, CI: 0.133-0.766), pain intensity (AOR = 5.296, 95% CI: 2.018-13.901), pain location (AOR = 0.318, 95% CI: 0.158-0.638), pain persistence (AOR = 5.163, 95% CI: 2.784-9.576), the extent the pain compromised the respondent quality of life (AOR = 3.816, 95% CI: 1.685-8.643), and episodes of the pain associated with activities (AOR = 0.247, 95% CI: 0.138-0.442) were significantly associated with depression among patients with chronic pain. Conclusion This study has shown a high prevalence of depression among patients with chronic pain. Furthermore, depression was associated with various pain-related factors. Hence, effective screening and management of depression among chronic pain patients’ needs noteworthy attention.
Critical method needs in measuring greenhouse gas fluxes

Reaching climate goals depends on appropriate and accurate methods to quantify greenhouse gas (GHG) fluxes and to verify that efforts to mitigate GHG emissions are effective. We here highlight critical advantages, limitations, and needs regarding GHG flux measurement methods, identified from an analysis of >13 500 scientific publications regarding three long-lived GHGs, carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). While existing methods are well-suited for assessing atmospheric changes and local fluxes, they are expensive and have limited accessibility. Further, we are typically forced to choose between methods for very local GHG sources and sinks and their regulation (m2-scaled measurements), or methods for aggregated net fluxes at >ha or km2 scales measurements. The results highlight the key need of accessible and affordable GHG flux measurement methods for the many flux types not quantifiable from fossil fuel use, to better verify inventories and mitigation efforts for transparency and accountability under the Paris agreement. The situation also calls for novel methods, capable of quantifying large scale GHG flux patterns while simultaneously distinguishing local source and sink dynamics and reveal flux regulation, representing key knowledge for quantitative GHG flux modeling. Possible strategies to address the identified GHG flux measurement method needs are discussed. The analysis also generated indications of how GHG flux measurements have been distributed geographically and across flux types, which are reported.
Assessment of heavy metal contamination in water and largescale yellowfish (Labeobarbus marequensis, Smith 1841) from Solwezi River, North-Western Zambia

Abstract The contamination of heavy metals in the Largescale Yellowfish (Labeobarbus marequensis) from the Solwezi River in North-western Zambia was investigated. The fish were captured from three different sampling sites on the Solwezi River. Site I was located before the mining effluents could join the river, site II was located immediately after the entry point of the mining effluent into the river, while site III was located downstream of where the effluents from the mining company had joined the river. The water and fish organs (muscle, gills, and liver) were checked for contamination with heavy metals. The values were compared with the established permissive levels considered safe for human consumption by the World Health Organization (WHO), and the Food and Agriculture Organization. In decreasing order, the contamination levels in fish organs were: Fe > Zn > Cu (gills), Fe > Zn > Cu (liver) and Zn > Fe > Cu (muscle). Co, Mn, and Pb were not detected in all the parts of the fish investigated. In water, the concentrations were in the order Zn > Fe > CU. The Metal Pollution Index (MPI) showed that site II was the most concentrated with heavy metals, while the gills were the most concentrated part of the fish. These results showed that the levels of the heavy metals investigated in the water and fish were within permissive levels by WHO and FAO. However, future expansion of existing companies and the introduction of new ones should strictly be monitored and their risks studied to safeguard fish and other aquatic products.
Clustering Analysis, Structure Fingerprint Analysis, and Quantum Chemical Calculations of Compounds from Essential Oils of Sunflower (Helianthus annuus L.) Receptacles

Sunflower (Helianthus annuus L.) is an appropriate crop for current new patterns of green agriculture, so it is important to change sunflower receptacles from waste to useful resource. However, there is limited knowledge on the functions of compounds from the essential oils of sunflower receptacles. In this study, a new method was created for chemical space network analysis and classification of small samples, and applied to 104 compounds. Here, t-SNE (t-Distributed Stochastic Neighbor Embedding) dimensions were used to reduce coordinates as node locations and edge connections of chemical space networks, respectively, and molecules were grouped according to whether the edges were connected and the proximity of the node coordinates. Through detailed analysis of the structural characteristics and fingerprints of each classified group, our classification method attained good accuracy. Targets were then identified using reverse docking methods, and the active centers of the same types of compounds were determined by quantum chemical calculation. The results indicated that these compounds can be divided into nine groups, according to their mean within-group similarity (MWGS) values. The three families with the most members, i.e., the d-limonene group (18), α-pinene group (10), and γ-maaliene group (nine members) determined the protein targets, using PharmMapper. Structure fingerprint analysis was employed to predict the binding mode of the ligands of four families of the protein targets. Thence, quantum chemical calculations were applied to the active group of the representative compounds of the four families. This study provides further scientific information to support the use of sunflower receptacles.
Effect of Ozone Treatment on the Contents of Selected Bioactive Phytochemicals in Leaves of Alligator Plant Kalanchoe daigremontiana

The study investigated the effect of ozone treatment applied to Kalanchoe daigremontiana plants on the contents of selected phytochemicals and on markers of oxidative stress in the leaves. For this purpose, alligator plants were exposed to the gaseous ozone applied at a rate of 5 and 10 ppm for 1, 5, and 10 min. Subsequently, tests were performed to assess the ozone-treated plants for the ability to produce reactive oxygen species (ROS), and for the activation of superoxide dismutase (SOD) and catalase (CAT), i.e., enzymes responsible for the decomposition of ROS. Measurements were also carried out to determine antioxidant potential, total contents of polyphenols, and vitamin C in plants as well as their mechanical properties. The findings show that the use of controlled conditions of ozone treatment (10 ppm; 1 min) resulted in increased contents of selected bioactive compounds (enhancement of total polyphenols 79%, enhancement of antioxidant potential ABTS 55.6% and DPPH 65.8%) in the ozone-treated raw material, with no phytotoxic effects of the process observed. It was shown that a short duration of ozone treatment is related to the increased activity of SOD (max 44%) and CAT (max 18.8%), which contributes to the lower production of ROS in cells of Kalanchoe daigremontiana.
A Geometric Approach to Free Boundary Problems

Elliptic problems: An introductory problem Viscosity solutions and their asymptotic developments The regularity of the free boundary Lipschitz free boundaries are $C^{1,\gamma}$ Flat free boundaries are Lipschitz Existence theory Evolution problems: Parabolic free boundary problems Lipschitz free boundaries: Weak results Lipschitz free boundaries: Strong results Flat free boundaries are smooth Complementary chapters: Main tools: Boundary behavior of harmonic functions Monotonicity formulas and applications Boundary behavior of caloric functions Bibliography Index.
Effects of Pesticides on Aquatic Fauna: A Literature Review

The excessive use of pesticides produced by agriculture, industry and anthropic activities generates negative effects on the environment and human beings. These chemical substances reach rivers and lakes through runoff or leaching and groundwater through infiltration. The objective of this study was to identify the effects caused by pesticides on aquatic fauna through a bibliographic review in order to provide recommendations for improvement and future surveys. The methodology used was based on a bibliographic review that subsequently allowed the information collected to be analyzed and presented in tables and arguments to propose recommendations for improvement. The main results indicate that in aquatic biota, pesticides reduce phytoplankton, cause problems in the functioning of aquatic species and in the worst case a decrease in the population. On the other hand, humans are also affected through the consumption of contaminated species. Finally, the study concludes by considering that the reduction and adequate management of pesticides can be carried out through the replacement of pesticides by the chemical substance produced by garlic, social awareness, regulatory policies that are applicable, monitoring and evaluation that allow obtaining information to subsequently generate alternatives for improvement against pesticide contamination. Keywords: ecotoxicology, aquatic ecosystem, pollution, aquatic species, pesticide. Resumen El uso desmedido de plaguicida producto de la agricultura, industria y actividades antrópicas generan efectos negativos sobre el ambiente y el ser humano. Estas sustancias químicas llegan a los ríos y lagos por la escorrentía o lixiviación y a las aguas subterráneas por infiltración. El objetivo de este estudio se centró en identificar los efectos causados por los plaguicidas sobre la fauna acuática mediante revisión bibliográfica para conferir recomendaciones de mejora y prospecciones futuras. La metodología utilizada se basó en una revisión bibliográfica que posteriormente permitió analizar la información recolectada y presentarla mediante tablas y argumentos para proponer recomendaciones de mejora. Los principales resultados indican que en la biota acuática los plaguicidas disminuyen el fitoplancton, producen problemas en el funcionamiento de las especies acuáticas y en el peor de los casos una disminución en la población. Por otro lado, el ser humano también se encuentra afectado mediante el consumo de las especies contaminadas. Finalmente, el estudio concluye considerando que la reducción y adecuada gestión de plaguicidas se puede llevar a cabo mediante reemplazo de plaguicidas por la sustancia química producida por el ajo, concientización social, políticas de regulación que sean aplicables, monitoreo y evaluación que permitan la obtención de información para posteriormente generar alternativas de mejora frente a la contaminación por plaguicidas. Palabras Clave: ecotoxicología, ecosistema acuático, contaminación, especies acuáticas, plaguicida.
Genetic Characterization of Avian Influenza Viruses Isolated from the Izumi Plain, Japan in 2019/20 Winter Season

The Izumi plain in the Kagoshima Prefecture, Japan, is known as an overwintering site for more than 30,000 migratory waterfowl, including endangered crane species. We previously reported that environmental water samples, from artificial wet paddies created as crane roost sites on the Izumi plain, are useful for avian influenza virus (AIV) surveillance. During the 2019/20 winter season, we collected 238 water samples from the crane roost sites and isolated 22 AIVs of six subtypes: one H1N1, one H3N2, seven H3N8, four H4N6, nine H6N6, and one H11N2 subtypes. Genetic analyses revealed that AIVs of the same subtype isolated from the Izumi plain during a single winter season exhibited multiple genetic constellations. Furthermore, phylogenetic analyses suggested that our H3N2 isolate may be a genetic reassortant between close relatives to our H3N8 and H11N2 isolates. Our study highlighted the importance of monitoring AIV circulation to better understand AIV ecology in migratory waterfowl populations.
Excess current investigations of silicon p+–i–n+ diodes

Si p+–i–n+ junctions, as used in modern devices, are investigated for excess current contributions in their forward characteristics. The excess current is caused by tunneling through band-gap states. The current characteristics of epitaxially grown junctions are studied experimentally at a temperature range from −60 to 100 °C, thereby the temperature dependence of the excess current is described and explained by the ratio of built-in voltage divided by the tunneling reference voltage Vt0. The voltage dependence is investigated by the curvature coefficient, the value of which is described by a modified Chynoweth theory. [A. G. Chynoweth, W. L. Feldmann, and R. A. Logan, Phys. Rev. 121, 684 (1961)].
Multiplicative Binding, Representation Operators & Analogy (Workshop Poster)

Analogical inference depends on systematic substitution of the components of compositional structures. Simple systematic substitution has been achieved in a number of connectionist systems that support binding (the ability to create connectionist representations of the combination of component representations). These systems have used various implementations of two generic composition operators: bind() and bundle(). This paper introduces a novel implementation of the bind() operator that is simple, can be efficiently implemented, and highlights the relationship between retrieval queries and analogical mapping. A frame of role/filler bindings can easily be represented using bind() and bundle(). However, typical binding systems are unable to adequately represent multiple frames and arbitrary nested compositional structures. A novel family of representational operators (called braid()) is introduced to address these problems. Other binding systems make the strong assumption that the roles and fillers are disjoint in order to avoid ambiguities inherent in their representational idioms. The braid() operator can be used to avoid this assumption. The new representational idiom suggests how the cognitive processes of bottom-up and top-down object recognition might be implemented. These processes depend on analogical mapping to integrate disjoint representations and drive perceptual search.
Complete plastome sequence of Monoon laui (Merr.) B. Xue and R.M.K. Saunders, 2012: an endemic species in Hainan

Abstract Monoon laui (Merr.) B. Xue and R.M. K. Saunders 2012 is produced in Hainan province. The trunk is straight, the wood texture is straight, and the material is slightly soft, which is suitable for furniture and building materials. In our study, we report and characterize the complete plastome of M. laui The complete length of the plastome of M. laui possesses 161,181 bp, including a large single-copy (LSC) of 89,556 bp, small single-copy (SSC) of 18,977 bp, and two inverted repeats (IRs) of 26,313 bp. The overall G/C content in the plastome of M. laui is 39.13%. The plastome contains 257 genes, consisting of 130 protein-coding genes (16 of which are duplicated in the IR), 37 tRNA genes (seven of which are duplicated in the IR), and eight rRNA genes (5S rRNA, 4.5S rRNA, 16S rRNA, and 23S rRNA). Here, we explore the phylogenetic relationships and make contributions to the conservation genetics of the specie of M. laui using the complete plastome sequence.