Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiently Implementing and Balancing the Mixed Lp-Norm Joint Inversion of Gravity and Magnetic Data

The mixed <inline-formula> <tex-math notation="LaTeX">$L_{p}$ </tex-math></inline-formula>-norm, <inline-formula> <tex-math notation="LaTeX">$0 \leq p \leq 2$ </tex-math></inline-formula>, stabilization algorithm is flexible for constructing a suite of subsurface models with either distinct, or a combination of, smooth, sparse, or blocky structures. This general-purpose algorithm can be used for the inversion of data from regions with different subsurface characteristics. Model interpretation is improved by the simultaneous inversion of multiple datasets using a joint inversion approach. An effective and general algorithm is presented for the mixed <inline-formula> <tex-math notation="LaTeX">$L_{p}$ </tex-math></inline-formula>-norm joint inversion of gravity and magnetic datasets. The imposition of the structural cross-gradient enforces similarity between the reconstructed models. For efficiency, the implementation relies on three crucial realistic details: 1) the data are assumed to be on a uniform grid providing sensitivity matrices that decompose into the block Toeplitz Toeplitz block form for each depth layer of the model domain and yield efficiency in storage and computation via 2-D fast Fourier transforms; 2) matrix-free implementation for calculating derivatives of parameters reduces memory and computational overhead; and 3) an alternating updating algorithm is employed. Balancing of the data misfit terms is imposed to assure that the gravity and magnetic datasets fit with respect to their individual noise levels without overfitting of either model. Strategies to find all weighting parameters within the objective function are described. The algorithm is validated on two synthetic but complicated models. It is applied to invert gravity and magnetic data acquired over two kimberlite pipes in Botswana, producing models that are in good agreement with borehole information available in the survey area.
Robust consensus for linear multi-agent systems with noises

This study investigates robust consensus problem for multi-agent systems (MASs) with both system and communication noises. The agent state is estimated based on the noisy measurement information by applying Kalman-filtering theory, and then the estimated state is sent to the neighbour agents through a noisy communication environment. A consensus protocol is proposed based on the relative estimated state, under which the consensus error of the MASs can be characterised precisely via the unique solution of a Lyapunov equation. In addition, the consensusability via dynamic output feedback control of the MASs without noises is studied. Finally, simulation examples are given to show the correctness of the proposed results.
Decomposition of Monolith Applications Into Microservices Architectures: A Systematic Review

Microservices architecture has gained significant traction, in part owing to its potential to deliver scalable, robust, agile, and failure-resilient software products. Consequently, many companies that use large and complex software systems are actively looking for automated solutions to decompose their monolith applications into microservices. This paper rigorously examines 35 research papers selected from well-known databases using a Systematic Literature Review (SLR) protocol and snowballing method, extracting data to answer the research questions, and presents the following four contributions. First, the Monolith to Microservices Decomposition Framework (M2MDF) which identifies the major phases and key elements of decomposition. Second, a detailed analysis of existing decomposition approaches, tools and methods. Third, we identify the metrics and datasets used to evaluate and validate monolith to microservice decomposition processes. Fourth, we propose areas for future research. Overall, the findings suggest that monolith decomposition into microservices remains at an early stage and there is an absence of methods for combining static, dynamic, and evolutionary data. Insufficient tool support is also in evidence. Furthermore, standardised metrics, datasets, and baselines have yet to be established. These findings can assist practitioners seeking to understand the various dimensions of monolith decomposition and the community's current capabilities in that endeavour. The findings are also of value to researchers looking to identify areas to further extend research in the monolith decomposition space.
THE ASSOCIATION BETWEEN VITAMIN D AND BODY MASS INDEX AND INFLUENTIAL FACTORS

Introduction: A critical health problem that affects people all around the world is vitamin D deficiency. Fundamentally, obesity and vitamin D deficiency are acknowledged as major global public health problem. In this study, we examined the connection between low vitamin D levels and Body Mass Index (BMI), as well as the association between demographic factors and vitamin D. Methods: 207 participants who were 18 years old or older and had ever been diagnosed with a chronic disease were included in the study. The participants filled out a questionnaire to analyze their demographic characteristics and physical activity levels. As well as evaluating the body mass index, serum vitamin D levels were tested. Results: It was reported that among the study participants, there was a substantial positive association between levels of physical activity and vitamin D levels. Vitamin D levels were found to be significantly negatively correlated with participant weight and BMI. Increasing weight and BMI lead to a reduction in vitamin D levels. It was demonstrated that gender, body mass index, physical activity level, marital status, vitamin D-containing food consumption state and consumption amount, vitamin D supplementation state, ways of going to work, daily exposure to sunlight, seasonal exposure to sunlight affects vitamin D levels. Conclusion: The study group was found to have very high levels of vitamin D insufficiency and deficiency, and there was a strong association between 25-hydroxy vitamin D3 (25(OH)D3) serum level and physical activity level and BMI.
DCDPI: Dynamic and Continuous Deep Packet Inspection in Secure Outsourced Middleboxes

Secure outsourced middleboxes are deployed in network function virtualization services that detect malicious activities on communications, which provides privacy-preserving deep packet inspection (DPI) over encrypted traffic. To boost filtering efficiency of packets, the two-layer middlebox architecture has been adopted in recent DPI systems. Nevertheless, state-of-the-art solutions based on two-layer architecture mainly suffer from two limitations: i) cannot support dynamic rule addition; ii) failed to inspect discontinuous token for rule matching. To address these limitations, this work proposes an efficient, dynamic and continuous DPI (DCDPI) system in secure outsourced middleboxes. To achieve dynamic rule addition with forward privacy, we refine a data structure called virtual binary tree (VBTree) and further introduce a variant of VBTree for DCDPI, termed VBTree+. VBTree+ supports two new desirable features: i) taking the rule action information into consideration; ii) achieving both rule identifier and rule action hiding. By introducing a token continuity check mechanism, DCDPI can effectively identify discontinuous tokens and categorize continuous tokens into one group. The extensive experiment over the real dataset and rule set confirms the practicality and efficiency of DCDPI. Compared to state-of-the-art works with same setting, DCDPI is 18%<inline-formula><tex-math notation="LaTeX">$\sim$</tex-math><alternatives><mml:math><mml:mo>∼</mml:mo></mml:math><inline-graphic xlink:href="zhang-ieq1-3293134.gif"/></alternatives></inline-formula>110% more efficient for a connection establishment between gateway/client and server.
A supervised dimensionality reduction method-based sparse representation for face recognition

Abstract The sparse representation-based classification (SRC) method is a powerful tool to present high-dimensionality data and its superiority in many fields, especially in face recognition application has been proved. With sparsity appropriately harnessed, the SRC can solve face classification problems caused by varying expression, illumination as well as occlusion and disguise. However, face images as high-dimensionality data are usually noisy and the dimensionality is always larger than the number of training sample in real-world applications, which bring a disadvantage for the performance of SRC. Therefore, it is beneficial to perform dimensionality reduction (DR) before utilizing the SRC method. But most prevalent DR methods have no direct connection to SRC. In this paper, we proposed a supervised DR algorithm which suits SRC well and improves the discriminating ability in the low-dimensionality space. The proposed method utilizes the fisher discriminant criterion and low-dimensionality reconstructive restriction to extract the discriminating structure of data. The extensive experiments on public face databases verified the effectiveness of the supervised DR with the model of sparse representation.
Interference of Context and bilinguality with the word order preference in Kaqchikel reversible sentences

Some inconsistent findings have been provided for word order preference in Kaqchikel, a language with the syntactically determined canonical word order of verb-object-subject (VOS): the canonical VOS is efficiently processed in sentence comprehension whereas the most frequent order is SVO in sentence production. In order to elucidate the nature of the discrepancy between comprehension and production in Kaqchikel, the present study utilized a sentence-picture matching task to compare the processing load for reversible transitive sentences with multiple animate entities (i.e., an animate subject and an animate object) among four possible word orders (VOS, VSO, SVO, and OVS). Results revealed that when an appropriate context was given, SVO was the most accurately and quickly processed order in Kaqchikel sentence comprehension, which does not agree with the results from existing research on sentence comprehension, where no context was provided. We further examined the influence of the individual native speakers’ bilinguality in Spanish on the SVO preference in sentences with a context, indicating that those with a higher ratio of daily Spanish use quickly processed word orders in which the subject precedes the object (i.e., SVO and VSO). The native speakers’ preference for VOS due to the syntactic canonicity seems to be overshadowed by the contextual factor and the bilinguality of the participants.
Dynamique linéaire et non linéaire d'un contact frottant

L’objectif de ce papier est d’etudier sur deux exemples les vibrations macroscopiques et microscopiques generees au niveau d’un contact frottant. Le premier exemple traite des vibrations auto-entretenues. Dans cette application, l’utilisation complementaire d’une analyse non lineaire temporelle et d’une analyse lineaire de stabilite permet de comprendre les phenomenes physiques mis en jeu. Dans le second exemple, nous etudions les vitesses de front de rupture dans les interfaces comprimees.
‘I am not being sponsored to say this’: a teen youtuber and her audience negotiate branded content

The field of microcelebrity is increasingly monetised, professionalised, and institutionalised, with the growing recognition of content creators as social media influencers. This article looks at the integration of branded content within youth digital culture, where participatory possibilities for self-expression are more and more entwined with consumer culture. It seeks to discuss how digital producers understand brand culture and how audiences negotiate the meanings of the commercialism inserted in their content. We look at the case of SofiaBBeauty, a successful young Portuguese youtuber, who has been vlogging since she was 12. The article analyses her association with brands in 12 videos in 2017 (vlog, haul, giveaway, QA how she presents her commercial recommendations as genuine and pregnant with affect, and whether the audience accepts it or not; as well as how she positions herself in the global YouTube community of practice, where connection with brands aggrandizes her persona in the eyes of the audience. Sofia’s videos create a post-feminist subject where consumption is articulated with independence, capability, and empowerment (Banet-Weiser, 2011), while engaging her audiences in a commodification process (Berryman & Kavka, 2017).
Resección anterior ultrabaja y anastomosis laparoscópica en adenocarcinoma de recto: reporte de un caso

Introducción: El cáncer colorrectal es la segunda causa de muerte en el mundo occidental, en la actualidad el abordaje laparoscópico mínimamente invasivo ha mostrado beneficio sobre la cirugía convencional abierta. Caso clínico: Se informa el caso de una mujer de 53 años que presentó proctorragias de 6 meses de evolución acompañado de mucorrea y dificultad para realizar la deposición. En la colonoscopia se identificó a 7 cm del borde anal una lesión que ocluye los 2/3 de la luz intestinal, la biopsia reportó adenocarcinoma de recto. Se realizó laparoscopia exploratoria y resección anterior ultrabaja con anastomosis término terminal más confección de ileostomía de protección. En el estudio histopatológico de la pieza quirúrgica reportó bordes quirúrgicos libres de tumor y 38 ganglios mesorrectales negativos para malignidad (pT2 N0 Mx). Se realizó cierre de ileostomía 2 meses después de la intervención con evolución favorable y preservación de la continencia fecal. Conclusiones: Años atrás el diagnóstico de cáncer de recto suponía la amputación del órgano y del aparato esfinteriano con colostomía definitiva comprometiendo la calidad de vida y morbilidad. Las técnicas actuales a través de abordaje laparoscópico permiten una mejor resección mesorrectal obteniéndose resultados oncológicos óptimos y adecuada restitución de tránsito intestinal con anastomosis primaria y preservación del aparato esfinteriano. A pesar de la evolución tecnológica en cuanto a los medios diagnósticos es importante mejorar los protocolos para una adecuada estratificación clínica de los tumores de recto.
Consumo de Frutose Altera Aminas Biogênicas Associadas a Fatores de Risco Cardiovasculares

Resumo Fundamento As doenças cardiovasculares (DCV) são a principal causa de mortalidade do mundo, e um de seus fatores de risco são os hábitos alimentares não saudáveis, tais como, o alto consumo de frutose. As aminas biogênicas (ABs) realizam funções importantes no corpo humano. Entretanto, o efeito do consumo de frutose nos níveis das ABs ainda não está claro, bem como a associação entre estes e os fatores de risco da DCV. Objetivo Este estudo teve o objetivo de estabelecer a associação entre os níveis de ABs e os fatores de risco de DCV em animais que consumiram frutose. Métodos Ratos Wistar machos receberam ração convencional (n=8) ou ração convencional + frutose na água de beber (30%) (n=8) durante 24 semanas. Ao final, foram analisados os parâmetros nutricionais e da síndrome metabólica (SM) e os níveis plasmáticos das ABs. Foi adotado um nível de significância de 5%. Resultados O consumo de frutose levou à SM, reduziu os níveis de triptofano e 5-hidroxitriptofano e aumentou a histamina. Os níveis de triptofano, histamina e dopamina apresentaram correlação com parâmetros de síndrome metabólica. Conclusão O consumo de frutose altera as ABs associadas a fatores de risco de doenças cardiovasculares.
Entropy approach for bioacoustics signal analysis of repetitive notes

This paper discusses a method for analyzing animal sound by using information theory namely the Shannon entropy. The basic principle of the theory is first presented, together with the spectral centroid. The well known spectral centroid is used as a reference for result comparison. To assess the performance and suitability of the proposed method, sound from 15 Australian frog species are used as test samples. The sound from these animal species are first segmented into syllables. The Shannon entropy value of the syllables are then determined, and compared to spectral centroid value. It is found that the syllables of the frogs sound have entropy that is different from one to another even from the same species. On the other hand, from the spectral centroid analysis, it is found that almost all of the syllables of frogs sound (from the same species) have a unique frequency value which implies that their sounds are highly consistent with repetitive note.
Critical Overview of Patriarchy, Its Interferences With Psychological Development, and Risks for Mental Health

The systemic oppression of women and gender-based discrimination has deep roots in human civilization. As evident in both written texts and widespread practices, conscious and unconscious biases associated with patriarchy have been and continue to be interlaced with power struggles, control, and conformity enforced by the male-dominant cultures of the time. Brought into bold relief in this pandemic, recent dramatic events (the tragic murder of George Floyd and the overturning of Roe v. Wade, for example) have heightened social outrage against bias, racism, and bigotry and have also brought us to an inflection point demanding our better understanding of the pernicious and long-term mental health effects of patriarchy. There are compelling grounds to further expand their construct, but efforts to do so in psychiatric phenomenology have, until now, failed to gain momentum and substantive attention. The resistance may in part lie in misconceptions that patriarchy is supported by archetypal endowments of the collective unconscious constitutive of shared societal beliefs. While many continue to live with the adverse experiences associated with patriarchy within the current times, critics have argued that our concepts about patriarchy are not empirical enough. Empirically supported deconstruction is necessary to debunk misinformed notions that undermine women’s equality.
Evaluating Encryption Algorithm Method Based on Software Encryption Tools for Information Security

Information security is the combination of policies, rules and practices to prevent any unauthorized access or attacks that causes corruption to data, information, and computing services. Information security techniques and programs are built around the core objective to secure data and information by adapting encryption algorithms methods. Encryption algorithm methods impeded in the information security programs or encryption software tools enforce more security by encrypting and decrypting data and information. Encryption algorithm methods are based on algorithms that scramble data and information by converting them into unreadable text. There are various encryption methods used in various encryption software tools. The more encryption algorithm methods used within the encryption software tool, the more security provided on data and information effective data and information security. In this paper, the most used encryption algorithm methods are analyzed and evaluated based on their usage in encryption software tools to determine the most encryption algorithm method that is used ensure more security on data and information.
Novel SiC-Based Power Device Bonding Materials of Nano Foam Sheet and Its Characteristic and Properties

Silicon carbide (SiC) has excellent characteristics such as high thermal and electrical conductivity. However, traditional bonding materials are difficult to serve lastingly at high temperatures, which directly affects the performance of SiC-based devices. In this study, nano foam sheet was prepared by dealloying, and used to sinter chip and substrate at low temperature. Microstructure, interfacial composition, mechanical properties, and fracture of the sintered joint were characterized and analyzed. The precursor was AgCu alloy, and the bicontinuous ligament/channel structure was formed on the precursor surface after dealloying. As the etching temperature increased from 80 °C to 90 °C, the ligament width of nano foam became large and the channel diameter became small. With the extension of the etching time from 2 to 5 h, the etching depth gradually increased. The nano foam sheet could realize a metallurgical reaction between substrate and chip at a sintering temperature of 300 °C. The joint had high shear strength and could meet the strength requirement of the standard.
The exponential behavior of a stochastic Cahn-Hilliard-Navier-Stokes model with multiplicative noise

In this article, we study the stability of weak solutions to a stochastic version of a coupled Cahn-Hilliard-Navier-Stokes model with multiplicative noise. The model consists of the Navier-Stokes equations for the velocity, coupled with an Cahn-Hilliard model for the order (phase) parameter. We prove that under some conditions on the forcing terms, the weak solutions converge exponentially in the mean square and almost surely exponentially to the stationary solutions. We also prove a result related to the stabilization of these equations.
Husband’s Role In Contraception Selection: Scoping Review

Contraceptives (KB) have various types of methods with advantages and disadvantages in their use. Husband's support is needed because it can provide motivation and comfort in choosing contraception. The results of the BKKBN mini survey show that men's participation in family planning has decreased, namely 11.1% in 2018, down to 8.9%. in 2017 husband's participation in selecting and using contraceptives was still low at 1.3%. Purpose: to map available evidence related to the husband's role in choosing contraception. Scoping this review follows the framework of Arksey and O'Malley, which consists of identifying review questions; looking for relevant evidence; selecting relevant studies; map data; and discuss, conclude and report results. PRISMA flowchart is used to display evidence search flow. The results of the review show that there are 10 articles obtained from the search process. This review raises 4 themes, namely the role of the husband in choosing contraception; factors influencing husband's involvement in contraception selection; cause of the lack of participation of husbands and the health system. The husband's role in contraception selection is still not carried out optimally, as a result of the division of roles between husband and wife due to gender bias, therefore innovative efforts are needed to involve husbands in contraception selection
Exploring Time‐Resolved Multiphysics of Active Plasmonic Systems with Experiment‐Based Gain Models

A systematic approach to investigate lasing and net amplification in plasmonic structures with a finite‐difference time‐domain method coupled to the rate equations of four‐level and six‐level atomic systems is developed. The experiment‐fitted kinetic parameters are fed into the model to study the mechanism of the coupling of metamaterials and metasurfaces with the gain medium. With the help of such an accurate model, net amplification can be distinguished from time‐resolved lasing dynamics for the plasmonic systems coupled with gain.
Application of genetic algorithms to generate the geometry of elements with a given stiffness coefficient

Work presents the optimization process based on genetic algorithms of two mechanical systems. The first of these is the system of two springs, connected serially by a rigid medial element whose movement is forced in the direction transverse to the original axis of the springs. The goal of the optimization is to obtain a given characteristic describing the dependence of displacement of the medial element on the excitation force. The second part is devoted to multi-criteria optimization of geometry of statically indeterminate system of three rods, which is to ensure the required stiffness of the system while meeting the condition of mass minimization.