Miracle-dz/UniFAR-FTUs huggingface dataset:
Graph Convolutional Network-Based Model for Megacity Real Estate Valuation

It is challenging to make precise assessments of real estate prices due to its elevated individual prices, complicated influencing factors, and ambiguous attribute selection. As a result of the high demand for owner-occupied and investment properties, real estate is also a substantial concern for society. A hot topic for research by major institutions has been how to accurately estimate its price. Real-world applications of real estate valuation impose stringent requirements on the acquisition of datasets and the generalizability of models. On the basis of SRGCNN, a spatial regression model with excellent generalizability, this paper introduces an external attention mechanism to construct the A-SRGCNN model and compares it to the benchmark model utilizing data from Shanghai, Melbourne, and San Diego. For spatial regression, A-SRGCNN employs graph convolutional neural networks, and the external attention mechanism implicitly considers the relationship between property data. Experiments indicate that the A-SRGCNN model outperforms the benchmark model and has improved real estate price estimation accuracy. In the meantime, this paper employs the A-SRGCNN model to conduct zonal experiments and time-division experiments on the secondary real estate market in Shanghai to analyze the real estate price linkages between different zones and the real estate price linkages at different times. It is revealed that Shanghai real estate prices exhibit spatial aggregation and price aggregation, with comparable prices within the same zones, and that the A-SRGCNN model is effective at predicting house prices.
Effects of semen parameters and age on male sperm motility in Sichuan

Objective: Sperm motility describes the ability of sperm to move correctly in the female reproductive tract and reach the egg to fertilize it. It is mainly reflected by the proportion of forward motile sperm, which is one of the most important factors to judge male fertility. The sperm quality of men in Sichuan area was analyzed, and the influence of semen parameters and age on sperm motility and the effect of age on semen parameters were discussed. Method: According to the semen examination results of 18,200 male volunteers recruited from January 2018 to December 2021, the effects of age, semen volume, sperm concentration and sperm morphology on sperm motility were analyzed. effect on sperm quality. Divided into 5 age groups to analyze the effect of age on sperm quality. Result: The results manifested that semen volume, sperm concentration and normal morphology ratio showed a positive correlation with sperm motility, while there was a negative correlation between age and sperm motility, and sperm concentration had the greatest impact on sperm motility. With the increase of age, especially after the age of 40, the parameters of the semen decreased significantly. Conclusion: Semen parameters have an effect on sperm motility. The increase of age makes the sperm quality of elderly men decline, and the male reproductive time should not be too late.
Analysis of Minutiae Quality for Improved Workload Reduction in Fingerprint Identification

The workload of biometric identification in large fingerprint databases poses a challenging problem. Efficient schemes for biometric workload reduction are a topic of ongoing research. Some of the state-of-the-art approaches rely on triangles of minutia points generated by Delaunay triangulation, which are then used for indexing. In this paper, we investigate how quality estimation at the minutia level can improve the performance of such algorithms and hence the system workload. In order to reduce the number of spurious and missing minutiae, we analyse the impact of selecting minutiae points based on their qualities. This, in turn, can significantly distort the triangulation. In addition, we consider the usefulness of the average minutia quality as an additional criteria of the minutia triangles for indexing. Our results show that both strategies lead to a significant reduction in biometric workload compared to a baseline solution (i.e. exhaustive search) – down to 36% on average.
A Correlation Function for Spatial Locations of Scaled Mode Shapes (COMEF)

Historically, several indices have been proposed as correlation indices between two sets of modal data. Modal Assurance Criterion (MAC) and Modal Scale Factor (MSF) have been used as techniques to relate two mode shapes from the same set or different sets. They are also used to update finite element model vectors with respect to experimentally derived modal data. Coordinate Modal Assurance (COMAC) was proposed to identify those parts of the structure which are contributing to low degrees of correlation. It is also possible to use COMAC between two sets of mode shapes, either from an experimental set of finite element models. A new correlation index, the Coordinate Modal Error Function (COMEF) is proposed to correlate two sets of scaled mode shapes. Scaling has been employed to minimize the contribution of degrees of freedom, which have low amplitude. The locations for low correlation are detected where two sets do not agree. It can be used for model updating and damage detection purposes. This technique is presented in two examples.
A supersymmetric Lagrangian for fermionic fields with mass dimension one

We present the derivation of a supersymmetric model for fermionic fields with integer-valued mass dimension based on a general superfield with one free spinor index. First, we develop a formalism based on a general superfield with one free spinor index. Then, we systematically derive all associated chiral and antichiral superfields up to third order in covariant derivatives. Using this formalism we are able to construct a supersymmetric on-shell Lagrangian that contains a kinetic term for the fermionic fields with mass dimension one. We then derive the corresponding on-shell supercurrent and succeed in formulating a consistent second quantization for the component fields. Finally, we present our result for a supersymmetric Hamiltonian. As the Lagrangian is by construction supersymmetric and the Hamiltonian was derived from the Lagrangian using supersymmetry algebra the Hamiltonian must be positive definite.
Quantum Supremacy through the Quantum Approximate Optimization Algorithm

The Quantum Approximate Optimization Algorithm (QAOA) is designed to run on a gate model quantum computer and has shallow depth. It takes as input a combinatorial optimization problem and outputs a string that satisfies a high fraction of the maximum number of clauses that can be satisfied. For certain problems the lowest depth version of the QAOA has provable performance guarantees although there exist classical algorithms that have better guarantees. Here we argue that beyond its possible computational value the QAOA can exhibit a form of Quantum Supremacy in that, based on reasonable complexity theoretic assumptions, the output distribution of even the lowest depth version cannot be efficiently simulated on any classical device. We contrast this with the case of sampling from the output of a quantum computer running the Quantum Adiabatic Algorithm (QADI) with the restriction that the Hamiltonian that governs the evolution is gapped and stoquastic. Here we show that there is an oracle that would allow sampling from the QADI but even with this oracle, if one could efficiently classically sample from the output of the QAOA, the Polynomial Hierarchy would collapse. This suggests that the QAOA is an excellent candidate to run on near term quantum computers not only because it may be of use for optimization but also because of its potential as a route to establishing quantum supremacy.
Factores asociados a la pérdida sanguínea en cirugía ortognática.

La cirugía ortognática (CO) es un procedimiento quirúrgico que genera pérdida sanguínea intraoperatoria (PSI), motivo por el cual el cirujano bucal y maxilofacial (CBMF) permanentemente está generando nuevas técnicas para controlarla. Objetivo: Determinar los factores asociados a la PSI en CO. Material y Métodos: Estudio retrospectivo, descriptivo transversal y analítico. Se revisaron 60 historias clínicas de pacientes operados de CO que cumplieron los criterios de selección. La variable dependiente fue PSI y las covariables: tipo de CO, operador (Cirujano bucal y Maxilofacial o Residente del programa en CBMF), instrumentos de corte, tiempo operatorio (TO), tiempo de protrombina (TP), tiempo de tromboplastina (TTP), recuento de plaquetas, edad y sexo. Se aplicaron las pruebas estadísticas ANOVA, t de Student, Rho de Spearman y correlación de Pearson. Resultados: Existe asociación estadísticamente significativa entre la PSI con el TO y la relación con el operador (p<0,005) y (p<0,001). Además, existe correlación directa entre PSI y TO (p<0,05). Conclusiones: El operador y el TO son variables asociadas directamente a la PSI en las CO.
Unusual quasars from the Sloan Digital Sky Survey selected by means of Kohonen self-organising maps

Context. Large spectroscopic surveys have discovered very peculiar and hitherto unknown types of active galactic nuclei (AGN). Such rare objects may hold clues to the accretion history of the supermassive black holes at the centres of galaxies. Aims. We aim to create a sizeable sample of unusual quasars from the unprecedented spectroscopic database of the Sloan Digital Sky Survey (SDSS). Methods. We exploit the spectral archive of the SDSS Data Release 7 to select unusual quasar spectra. The selection method is based on a combination of the power of self-organising maps and the visual inspection of a huge number of spectra. Self-organising maps were applied to nearly 10 5 spectra classified as quasars at redshifts from z = 0:6 to 4.3 by the SDSS pipeline. Particular attention was paid to minimise possible contamination by rare peculiar stellar spectral types. All selected quasar spectra were individually studied to determine the object type and the redshift. Results. We present a catalogue of 1005 quasars with unusual spectra. These spectra are dominated by either broad absorption lines (BALs; 42%), unusual red continua (27%), weak emission lines (18%), or conspicuously strong optical and/or UV iron emission (11%). This large sample provides a useful resource for both studying properties and relations of/between di erent types of unusual quasars and selecting particularly interesting objects, even though the compilation is not aimed at completeness in a quantifiable sense. The spectra are grouped into six types for which composite spectra are constructed and mean properties are computed. Remarkably, all these types turn out to be on average more luminous than comparison samples of normal quasars after a statistical correction is made for intrinsic reddening (E(B V) 0 to 0.4 for SMC-like extinction). Both the unusual BAL quasars and the strong iron emitters have significantly lower radio luminosities than normal quasars. We also confirm that strong BALs avoid the most radio-luminous quasars. For 32 particularly interesting objects, individual spectra are presented. Among these objects are quasars with many narrow BAL troughs and one quasar where the continuum is strongly suppressed by overlapping BAL troughs across nearly the whole SDSS spectrum. Finally, we create a sample of quasars similar to the two “mysterious” objects discovered by Hall et al. (2002) and briefly discuss the quasar properties and possible explanations of their highly peculiar spectra.
On the escape of CH4 from Pluto's atmosphere

We adapted a multispecies escape model, developed for close‐in extrasolar planets, to calculate the escape rates of CH4 and N2 from Pluto. In the absence of escape, CH4 should overtake N2 as the dominant species below the exobase. The CH4 profile depends strongly on the escape rate, however, and the typical escape rates predicted for Pluto lead to a nearly constant mixing ratio of less than 1% below the exobase. In this case the CH4 escape rate is only 5–10% of the N2 escape rate. Observations of the CH4 profile by the New Horizons/ALICE spectrograph can constrain the CH4 escape rate and provide a unique test for escape models.
Dynamical maps, quantum detailed balance, and the Petz recovery map

Markovian master equations (formally known as quantum dynamical semigroups) can be used to describe the evolution of a quantum state ρ when in contact with a memoryless thermal bath. This approach has had much success in describing the dynamics of real-life open quantum systems in the laboratory. Such dynamics increase the entropy of the state ρ and the bath until both systems reach thermal equilibrium, at which point entropy production stops. Our main result is to show that the entropy production at time t is bounded by the relative entropy between the original state and the state at time 2t. The bound puts strong constraints on how quickly a state can thermalize, and we prove that the factor of 2 is tight. The proof makes use of a key physically relevant property of these dynamical semigroups, detailed balance, showing that this property is intimately connected with the field of recovery maps from quantum information theory. We envisage that the connections made here between the two fields will have further applications. We also use this connection to show that a similar relation can be derived when the fixed point is not thermal.
A Consideration on the Methodology for Evaluating Large-scale Paraphrase Lexicons

Aiming at creating paraphrase lexicons that ensure good coverage of the target classes of para- phrases along with a low proportion of incorrect information, in the last decade, researchers have proposed methods for extracting sub-sentential paraphrases from various types of corpora. Once a paraphrase lexicon is created, then the ensuing issue is how to measure its quality. This is typically performed through a sub- stitution test: each of sampled pairs of expressions is judged whether it is a correct paraphrase pair or not by evaluating grammaticality and meaning equivalence of the expressions in actual sentences. In this paper, we describe the issues in evaluating paraphrase lexicons. Then, focusing on a widely-used evaluation scheme, i.e., substitution test for samples, we propose three extensions designed for obtaining a more consistent hu- man judgments: (i) classication-based evaluation criteria, (ii) two-step unit-wise evaluation procedure, and (iii) re-evaluation of disagreed examples. Through an evaluation experiment, we have conrmed at least the third extension contributes to improve the inter-evaluator agreement ratio.
Cuff-Arthropathie – inverse Schultertotalendoprothese (iSTEP)

Zusammenfassung Die inverse Schultertotalendoprothese (iSTEP) hat sich bei der Cuff-Arthropathie als Standard entwickelt. 10-Jahres-Überlebensraten von mehr als 90% sind erzielbar. Es verbleiben jedoch Probleme und Komplikationen, die es zu verbessern gilt. Ein gestiegenes Verständnis der Biomechanik mit entsprechenden Optimierungen führt zu Neuentwicklungen wie unterschiedlichen Schaftsystemen, glenoidalen Modifikationen sowie verschiedenen Offset-Typen.
Weak Gravitational Lensing and Its Cosmological Applications

Weak gravitational lensing is a unique probe of the dark side of the universe: It provides a direct way to map the distribution of dark matter around galaxies and clusters of galaxies as well as on cosmological scales. Furthermore, the measurement of the weak lensing–induced distortions of the shapes of distant galaxies is a potentially powerful probe of dark energy. In this review we discuss how this challenging measurement is made and interpreted. We describe the various systematic effects that can hamper progress and how they may be overcome. We review some of the recent results in weak lensing by galaxies, galaxy clusters, and cosmic shear and discuss the prospects for dark energy measurements from planned surveys.
A Resonant DC-Link Inverter and Its Voltage Compensation Strategy

In order to solve the output voltage loss problem caused by the zero-voltage notch of resonant dc-link (RDCL) inverter and improve system efficiency, this article proposes an RDCL inverter and its voltage compensation method. The topology of this auxiliary circuit is simpler, and the resonant current is separated from the load current by parallel auxiliary switch, which reduces the current stress of the main switches. At the same time, the method is based on the conventional sinusoidal pulsewidth modulation (SPWM); this method first calculates the operation time of the auxiliary circuit based on the magnitude of the phase current, second adjusts the position of the triangular carrier according to the calculation results, and finally generates the driving signals for early turn-on and delayed turn-off, which solves the voltage loss problem and improves the voltage utilization, the output voltage is the same as that of the ideal SPWM. The working principle, parameter design conditions, and voltage compensation method are analyzed in detail in the article. Finally, a 5-kW/16 kHz prototype is created with insulated gate bipolar transistor (IGBT) as switching device, which verifies the novel resonant dc-link inverter and its modulation strategy is effective.
Fluctuations de fonctionnelles spectrales de grandes matrices aléatoires et applications aux communications numériques

La theorie des matrices aleatoires presente un ensemble d'outils mathematiques efficaces pour l'etude de performances des systemes de communications numeriques. L'objectif de cette these est de developper des resultats analytiques bases sur la theorie des matrices aleatoires pour etudier les fluctuations de quelques indices de performances pour les systemes de communications sans fil. Nous etudions dans un premier temps, les fluctuations du rapport signal sur bruit (SINR), indice de performance mesure a la sortie d'un recepteur lineaire de Wiener, recepteur minimisant l'erreur quadratique des symboles estimes (LMMSE) pour les transmissions par la technique CDMA. Bases sur la methode REFORM, nous montrons le comportement gaussien asymptotique pour le SINR. L'etude du SINR permet la comprehension de comportements d'autres indices de performances comme l'erreur binaire et la probabilite de depassement. Bases sur la nature gaussienne des entrees de la matrice canal, nous utilisons des outils mathematiques dedies aux variables gaussiennes pour evaluer ces deux indices de performances. Des simulations montrent bien la pertinence de cette approche. Il est bien connu que l'information mutuelle entre le signal emis et le signal recu augmente avec l'utilisation des techniques de transmission multi-antennes. Nous nous interessons a l'etude des fluctuations de cette statistique pour un modele separable non centre, cas Rice. Nous developpons des outils mathematiques bases sur la theorie des matrices aleatoires permettant de montrer la nature gaussienne des fluctuations de l'information mutuelle.
English Language Classroom: A Factor Obstructing Communicative Collaboration among L2 Teachers and Students

The key objective of the study was to 'determine the views of ESL students regarding English language classroom environment in obstructing communicative collaboration and to assess the impact of English language classroom environment in obstructing communicative collaboration among ESL students. To realize the prior drive this research uses the mixed method approach and for the proper execution of this work the researcher collected data through a questionnaire. Research data were analyzed using Statistical Package for Social Sciences (SPSS). A major portion of the students agreed that the existing classroom environment of BS English is absolutely unfavorable for the best communicative interaction as it produces negative impacts on learning. This undesirable situation can be altered altogether by extending the role of the English language teacher as in most of the Outer Circle countries like Pakistan teacher is considered the custodian of the class and the most authoritative figure in the ESL classroom.
NEA (New Electronic Assistant), un sistema para la co-creatividad computacional musical

Este artículo presenta un sistema para la creatividad computacional colaborativa artística aplicada a la creación musical, llamado New Electronic Assistant (NEA). NEA es un sistema que puede aprender de estilos musicales en formato simbólico, generar piezas siguiendo los estilos aprendidos y transformar sus resultados a través de la interacción en tiempo real. A lo largo del texto, NEA es introducido y enmarcado dentro de los conceptos de la creatividadcolaborativa computacional. Para analizar el desempeño de NEA en entornos reales de co-creación, se realiza un proceso de generación sistemática de piezas musicales, de las que se extraen fragmentos que son usados en un experimento de validación con humanos. Los resultados del experimento sugieren altos niveles de eficiencia en el proceso de co-creación, relacionados con el tiempo de producción de nuevas piezas, la sorpresa expresada porlos participantes del experimento y el valor percibido de las piezas generadas por NEA. El experimento concluye con una sección donde se comentan detalles de las piezas percibidas con mayor valor por los participantes del experimento. Al final del texto se hace una reflexión sobre el rol de los sistemas generativos, que requieren interacción humana, en procesos reales de creación colaborativa.
Assessment of Pattern of Abdominal Injury over a Two-Year Period at St Paul's Hospital Millenium Medical College and AaBET Hospital, Addis Ababa, Ethiopia: A Retrospective Study

Background Globally, injury continues to be an important cause of morbidity and mortality both in developed and developing countries. Abdominal injuries are among the major causes of trauma admissions. This study aimed to assess patterns of abdominal injury at AaBET and St. Paul's Hospital Millennium Medical College. Methods A cross-sectional study was done on all adult patients who sustained abdominal injuries presented to the emergency department and managed at AaBET and St. Paul's Hospital Millennium Medical College over a two-year period from January 2018 to December 2019. Results A total of 165 abdominal injured patients presented during the study period. Among those patients, 140 (84.8%) were male, with a male-to-female ratio of 5.61. The mean age of patients was 29.3 years. 85 (51.5%) of the patients sustained penetrating injuries. 53 (32.1%) patients sustained road traffic accidents, 47 (32.1%) had stab injuries, and 34 (20.6%) had gunshots. Thirty-four (20.6%) of the patients were managed conservatively and 79.4% (n = 131) were managed surgically. The commonest complications found were shock (n = 20 (12.1%)), peritonitis (n = 18(10.9%)), HAP (n = 9 (5.5%)), and surgical site infection (n = 4 (2.4%)). The mortality rate was 3.6% (n = 6), of which 4 (67%) had the penetrating mechanism of injury. Conclusion Abdominal trauma predominantly affects the male and economically productive age. The three main causes of abdominal injuries in this study were road traffic accidents, stab injuries, and gunshots, which require increased public awareness of the need to prevent road traffic accidents and to handle weapons and sharp items properly.
The influence of virtual brand community on consumer loyalty

This paper mainly studies the influence of community interaction dimension and community perceived value on consumer loyalty in virtual brand community. And the sense of community is introduced as a mediator variable to construct the theoretical model. A questionnaire survey was used to quantitatively analyze the model, and the main conclusions were drawn as follows: information interaction and interpersonal interaction in virtual brand community positively affect the sense of community; the four kinds of perceived value of customers in virtual brand community positively affect the sense of community. Community awareness positively influences consumers’ loyalty; Community awareness plays a mediating role in the influence of community interaction and customer perceived value on consumer loyalty.