Miracle-dz/UniFAR-FTUs huggingface dataset:
SSS-EC: Cryptographic based Single-Factor Authentication for Fingerprint Data with Machine Learning Technique

The development of cloud computing technology and big data comprises more users to store their data in the cloud server. The increases in the data volume and storage are subjected to the increased risk of data access with unauthorized users. Traditionally, to improve data authorization the cloud data is encrypted before uploading to the server. To improve cloud authentication Single Factor Authentication (SFA) techniques are evolved. However, conventional SFA is not efficient for sensitive information that is able to be accessed by third parties. To overcome this limitation, this research proposes a Single-factor Samoa Substring Escrow Cryptography scheme (SSS-EC). The proposed SSS-EC model uses fingerprint biometric data for authentication in cloud data. Initially, Samoa Substring is implemented with the validation of the client single-factor i.e fingerprint data. The validated information is stored in the cloud escrow. The validated data is encrypted using homomorphic encryption. The encrypted data is accessed with the attribute structure those need to query and decrypt the data in the Samoa Substring. Upon the verification of the attribute i.e., fingerprint, cipher text based on Samoa Sub-String is shared between the owner and user without any keyword. The verification with the cipher text is performed with Elliptical Curve Cryptography (ECC). The implementation of the SSS-EC scheme improves authentication in the cloud. Finally, the Machine Learning (ML) method is implemented for the classification of the different attacks in the cloud server using CICIDS dataset. The simulation analysis of the proposed SSS-EC model with the existing authentication techniques such as Ring Learning with Errors (R-LWE) and Identity Concealed Authentication Scheme (ICAS) based on two factors is performed. The proposed SSS-EC exhibits higher authentication accuracy and reduced computational cost for the different users and cloud servers. The experimental results confirmed that the proposed SSS-EC scheme improves authentication with state-of-the-art techniques.
Chinese Medical Short Text Matching Model Based on Fine-Tuning BERT-Attention-BiLSTM

With the increasing scale of the Internet medical market, a large number of platforms have started to provide free medical diagnosis services to users. The number of questions on medical Q&A platforms is growing rapidly, and there are a lot of repetitive and similar questions, which can no longer meet the demand of users to get fast and accurate answers only by the manual answers of medical experts. To solve the above problems, this paper proposes a Chinese medical short text matching model based on fine-tuning BERT-Attention-BiLSTM (FBAB), use fine-tuning BERT model for representation of text, the attention mechanism is used to obtain the interaction information between sentences, use the Bi-directional Long Short-Term Memory (BiLSTM) to fuse the contextual information of the 2 sentences. , and the feature information is further extracted by maximum pooling and mean pooling to obtain the sentence-level semantic representation, which is input to the prediction layer after stitching, and the softmax classification function is used to calculate the probability that the two sentences are similar. Experiments show that compared with the classical deep short text matching model, the FBAB model proposed in this paper shows better results on the medical short text corpus, which proves the effectiveness and feasibility of the model.
Too Stiff, Too Strong, Too Smart

Deep reinforcement learning (DRL) methods have demonstrated impressive results for skilled motion synthesis of physically based characters, and while these methods perform well in terms of tracking reference motions or achieving complex tasks, several concerns arise when evaluating the naturalness of the motion. In this paper, we conduct a preliminary study of specific quantitative metrics for measuring the naturalness of motion produced by DRL control policies beyond their visual appearance. Namely, we propose to study the stiffness of the control policy, in anticipation that it will influence how the character behaves in the presence of external perturbation. Second, we establish two baselines for strength that allow evaluating the use of joint torques in comparison to human performance. Third, we propose the study of variability to reveal the unnatural precision of control policies and how they compare to real human motion. In sum, we aim to establish repeatable measures to assess the naturalness of control policies produced by DRL methods, and we present a set of comparisons from state-of-the-art systems. Finally, we propose simple modifications to improve realism on these axes.
Bone grafting in total hip replacement for acetabular protrusion

Total hip replacement combined with acetabuloplasty was performed in 43 hips in 40 patients with protrusion secondary to arthrosis, rheumatoid arthritis or trauma. Depending on the acetabular defect, the acetabulo-plasty encompassed reinforcement of the medial wall with bone grafts, vi-tallium meshes, protrusio rings and cups. The clinical and radiographic results were uniformly good on average 2 years postoperatively. All grafts appeared to be united and incorporated, without evidence of resorption. The only patient suffering from pain had radiographic signs of progressive varus migration of the femoral component.
Digital construction of data traceability based on dynamic recognition algorithm

Traceability result confirmation is an important link to ensure the accuracy and reliability of the standard measurement value. At present, the corresponding certificates/reports issued by superior technical institutions are not digital information, which requires manual comparison of relevant data, resulting in low efficiency and high error rate. Combined with deep learning theory, this paper proposes a dynamic recognition algorithm which can be applied to image, text and other information carriers to realize intelligent recognition of images, symbols and digital content. Based on this algorithm, a digital system for quantitative traceability is developed, and a set of intelligent data extraction, error correction and structured platform is built to improve the efficiency and accuracy of metrological verification.
Dietary SSPP on Cecal Microbiome in Broilers

Upload this completed form to website with submission 2 3 ARTICLE INFORMATION Fill in information in each box below Article Type Research article Article Title (within 20 words without abbreviations) Dietary supplementation of solubles from shredded, steam-exploded pine particles modulates cecal microbiome composition in broiler chickens Running Title (within 10 words) Dietary solubles from shredded, steam-exploded pine particles affects chickens’ microbiome Author Chris Major Ncho 1,2, Akshat Goel 1,2, Vaishali Gupta 1,3, Chae-Mi Jeong 1,3, Ji-Young Jung 2,4, Si-Young Ha 4, Jae-Kyung Yang 2,4 and Yang-Ho Choi 1,2,3,* Affiliation 1 Department of Animal Science, Gyeongsang National University, Jinju 52828, Korea 2 Institute of Agriculture and Life Sciences, Gyeongsang National University, Jinju 52828 3 Division of Applied Life Sciences (BK21 Plus Program), Gyeongsang National University, Jinju 52828, Korea 4 Department of Environmental Materials Science, Gyeongsang National University, Jinju 52828, Korea ORCID (for more information, please visit https://orcid.org) Competing interests No potential conflict of interest relevant to this article was reported.
Facilitadores y barreras percibidos en la práctica de la actividad física en adolescentes escolarizados en Piedecuesta (Santander), en 2016: análisis cualitativo

Objetivo. Describir los facilitadores y barreras que influyen en la participación en la actividad física (AF) de adolescentes escolarizados. Métodos. Análisis cualitativo desde un enfoque fenomenológico con la participación de 20 adolescentes escolarizados entre 12 y 16 años, que mediante entrevistas semiestructuradas y grupos focales conversaron sobre temas relacionados con la práctica, beneficios, entornos e influencia y compañía frente a la AF. La información fue procesada con el programa NVivo Pro. Resultados. La práctica de AF se limitaba a las clases de educación física en la mayoría de los casos. El compañero principal en la AF extracurricular era el padre del mismo sexo. La AF representaba una oportunidad para romper con la rutina diaria, el disfrute, mejorar la salud física y mental, y mejorar la contextura corporal. La falta de tiempo por compromisos académicos fue la razón principal para no realizar AF. Los espacios públicos no siempre estaban disponibles, a menudo no se consideraban seguros. En la escuela, el espacio y las instalaciones eran inadecuados, y el uso estaba restringido. Conclusiones. La escuela es un punto de convergencia importante para la práctica de AF, lo que sugiere la necesidad de fortalecer el plan de estudios de educación física. A pesar de esto, se percibe que la AF interfiere con las actividades académicas. El vecindario también es un espacio importante para la AF y las mejoras en la seguridad y el atractivo estético de las áreas recreativas públicas tienen el potencial de aumentar el nivel de práctica de AF.
Semi-conducteurs de puissance - Problèmes thermiques (partie 2)

Cet article aborde les problematiques de couplage electrothermiques dans les composants de puissance. Il est important de noter que la puissance electrique dissipee par les composant electroniques est influencee par la repartition de la temperature dans leur zone active, puisque de nombreux parametres fondamentaux des semi-conducteurs dependent plus ou moins directement de la temperature. Enfin l'article fournit quelques elements sur les effets de la temperature sur la fatigue et la fiabilite des composants.
Bälinge mossar : Kustbor i Uppland under yngre stenåldern : Neolithic coastal settlement in Uppland, eastern middle Sweden

This theses discusses the Early and Middle Neolithic in eastern middle Sweden. Special emphasis is placed on Uppland where Balinge Bogs are situated. This is the name of a reclaimed wetland area c. 25 km north-west of Uppsala. During the Early and Middle Neolithic it was a salt-water bay with a series of settlements. Excavations of the sites in the early 20th century and my own excavations of several of them during the 1970s and 1980s form the base of the study.On the basis of their artifacts it has been possible to attribute the settlement sites to two main cultural and chronological periods: the Funnel Beaker Culture during the Early Neolithic and the Pitted Ware Culture during the middle Neolithic. The radiocarbon dates convincingly confirm the archaeological chronology and translate it to calendar years: The Early Neolithic settlement at the Balinge Bogs lasted from 4000-3750 B.C. For the subsequent 350-400 years there are no traces of settlement, and it is not until 3400-2900 B.C. that the Pitted Ware settlements developed.There is an unquestionable relationship between the receding coastline and the decreasing age of Stone Age sites in the Balinge Bogs. The proximity of open water was obviously important for the choice of settlement location.The natural environment at the Balinge Bogs remained relatively unchanged during the millennium for which Stone Age habitation lasted. However, the Funnel Beaker site at Anneberg was closer to the open sea than the Pitted Ware sites.The faunal remains from Anneberg show that the exploitation of marine resources was already fully developed by the Early Neolithic. Seal hunting and fishing were of special importance. The Anneberg inhabitants were probably practising some agriculture in the form of stock-raising and cultivation of cereals. The stray finds from the inland areas west of the Balinge Bogs do not suggest the presence of special agricultural sites. There is much to indicate that the inhabitants of the Anneberg site led an independent life along the coast, being at the same time members of a larger community with a shared material culture - the Funnel Beaker Culture. During the Middle Neolithic the Uppland archipelago filled up with new islands and Pitted Ware sites grew up along the mainland coast and on islands. In the main the Pitted Ware settlers were hunters and fishers, probably also practising some agriculture, mainly in the form of stock-raising. The position of the sites in the inner archipelago may suggest that people were sedentary to some extent.
Management of Pyogenic Liver Abscesses

Pyogenic liver abscesses (PLAs) are a suppurative infection of the hepatic parenchyma responsible for significant morbidity and mortality. PLAs are categorized into a variety of mechanisms: (1) via the portal vein, (2) through the biliary tract, (3) via the hepatic artery, (4) from trauma, (5) contiguously via direct extension, and (6) cryptogenically. The pathogenesis of PLA, which informs treatment, can often be discerned based on host factors, clinical presentation, and causative microorganisms. The Streptococcus anginosus group, hypervirulent Klebsiella pneumoniae, and multidrug-resistant gram-negative pathogens have emerged as microbiologically challenging organisms to treat. The identification of hypervirulent K. pneumoniae should prompt for assessment for metastatic spread and consideration of prolonged antimicrobial treatment. Abdominal imaging is indispensable in characterizing PLAs and facilitating source control interventions. Source control remains the most critical aspect of PLA management, followed by antimicrobial therapy. Empiric antibiotics for PLAs are informed by the suspected etiology of PLA formation. Duration of antimicrobial therapy is individualized and dependent on multiple components, including the success of achieving source control, host factors, mechanism of PLA development, and the illness course of the individual—factoring in clinical, biochemical, and radiographic parameters.
Parasitic Hymenopteran Food and Habitat Preferences in Urban Agriculture

Since the first introduction of parasitoids to control pests in the 1920s, various species of parasitoids have been used as biological control agents in agricultural pest management. This research investigates the theory that parasitic Hymenoptera have food and habitat preferences, and by supporting them with floral resources, biological control can be strengthened. From collection data based in San Francisco Bay Area, three major groups of parasitoids were present on the urban farms including, Chalcidoidea, Cynipoidea, and Braconidae. Based on the parasitoids’ visiting frequencies of various plants, it is apparent that these parasitoids have food and habitat preferences, and different subfamilies and families of wasps visit different types of flowers. Chalcidoidea were present in large numbers on many flowering plants because of their wide variety of feeding behavior. Cynipoidea: Alloxystinae are hyperparasitoids and were found on certain flowers with nectar. Braconidae: Aphidiinae are parasitoids and Aphidiinae were found on some flowers with nectar as well. By recognizing the different wasp subfamilies’ varying presence on different flowering plants, biological control can be reinforced when taking into account of parasitoid’s floral habitat preferences, and types of flowers to plant to best support sustainable agriculture.
Focus on flow: imaging the human microcirculation in perioperative and intensive care medicine

Objective : The behavior of the human microcirculation in the setting of cardiac arrest is largely unknown. Animal experiments have consistently revealed that global hemodynamics do not necessarily reflect microvascular perfusion. In addition, the time it takes for capillary blood flow to stop after the heart arrests is debated. Estimations range from 50 s to 5 minutes, but data in humans are lacking. Aortic arch surgery frequently necessitates deep hypothermic circulatory arrest and subsequent selective antegrade cerebral perfusion. To elucidate microvascular behavior surrounding cessation of human circulation, we used sublingual microvascular imaging in this setting. Design : Prospective, observational study. Setting : Operating room of a large tertiary referral center for cardiac surgery. Patients : Seven patients undergoing elective aortic arch repair. Interventions : We used sidestream dark field imaging to study the sublingual microcirculation immediately before circulatory arrest, during circulatory arrest, and immediately after selective antegrade cerebral perfusion. Measurements and Main Results : Results are reported as mean (SD) unless indicated otherwise. Before circulatory arrest, perfused vessel density was 6.41 (1.18) for small (<20 µm) and 1.57 (0.88) mm -1 for large (>20 µm) microvessels. Microvascular flow index was a median of 3.0 (interquartile range 3.0-3.0) for both vessel sizes. After circulatory arrest, there was no equilibration of arterial and venous blood pressure before onset of selective antegrade cerebral perfusion after 59 (17) s (range, 40-80 s). Flow in small microvessels came to a complete stop after 45 (9) s (range, 34-57 s) after transition to circulatory arrest. However, flow in larger microvessels did not completely stop before selective antegrade cerebral perfusion started. Selective antegrade cerebral perfusion restored microvascular flow, reaching pre circulatory arrest levels after 45 (27) s (range, 20-85 s).
Eficacia de tres dosis de succinilcolina en la inducción de secuencia rápida

Introduccion: La intubacion de secuencia de rapida es un procedimiento que minimiza el tiempo necesario para asegurar la via respiratoria en pacientes con alto riesgo de broncoaspiracion. Objetivo: Comparar la eficacia de tres dosis de succinilcolina en la induccion de secuencia rapida en pacientes con estomago y la calidad de la intubacion, asi como los efectos secundarios de dichos farmacos. Metodos: Se realizo un estudio observacional, de corte transversal para evaluar la calidad de la intubacion con induccion de secuencia rapida en pacientes de urgencia, con estomago lleno. Se administraron 0,4 mg/kg de succinilcolina al grupo I, 0,6 mg/kg al grupo II y 1 mg/kg al grupo III. En todos los pacientes se evaluo la via respiratoria. El estudio se realizo en el Hospital Clinico Quirurgico "Hermanos Ameijeiras" entre agosto de 2013 y 2016. Resultados: El tiempo de visualizacion de las cuerdas vocales fue rapido en los tres grupos. Los mejores resultados se obtuvieron en el grupo III, seguido del grupo II. Las condiciones de intubacion fueron excelentes en el grupo III (90 %), buenas en grupo II (80 %) y regulares en el grupo I (70 %). Las variables hemodinamicas mostraron diferencias significativas entre grupos (p= 0,008). Conclusiones: Se determino la eficacia del empleo de tres dosis de succinilcolina en la induccion de secuencia rapida, con intubacion optima y segura cuando se empleo la succinilcolina a dosis de 1 mg/kg; pero con mayor porcentaje de alteraciones hemodinamicas como efectos adversos.
BoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machines

The FVBM model can be viewed as a multivariate extension of the classical Bernoulli distribution, on spin-binary random variable strings (i.e, random variables X ∈ X, rather X ∈ {0, 1}), and can be demonstrated to be equivalent to the logistic multivariate binary model that was proposed by Cox (1972). It can also be considered as a fullyconnected binary graphical model (see Bagnall et al., 2018 for more details). Simply put, the FVBM is a model that allows for the characterization of interactions between multiple binary random variables, simultaneously.
Spatio-Temporal-Based Identification of Aggressive Behavior in Group Sheep

Simple Summary Artificial intelligence technology increases the level of awareness in sheep farming. The aggressive behavior of sheep is related to mortality, feed provisioning, and flock density, and can impact sheep welfare and business benefits in precision animal husbandry. Currently, animal behavior is mainly observed manually, leading to increased labor costs. Contact sensor methods not only increase breeding costs but also induce stress reactions in sheep. The non-contact computer vision method avoids the above problems. Therefore, we propose a deep learning model that combines machine vision and time series analysis. This model aims to meet the requirement of timely and accurate detection of aggressive behavior in large-scale sheep farming. Abstract In order to solve the problems of low efficiency and subjectivity of manual observation in the process of group-sheep-aggression detection, we propose a video streaming-based model for detecting aggressive behavior in group sheep. In the experiment, we collected videos of the sheep’s daily routine and videos of the aggressive behavior of sheep in the sheep pen. Using the open-source software LabelImg, we labeled the data with bounding boxes. Firstly, the YOLOv5 detects all sheep in each frame of the video and outputs the coordinates information. Secondly, we sort the sheep’s coordinates using a sheep tracking heuristic proposed in this paper. Finally, the sorted data are fed into an LSTM framework to predict the occurrence of aggression. To optimize the model’s parameters, we analyze the confidence, batch size and skipping frame. The best-performing model from our experiments has 93.38% Precision and 91.86% Recall. Additionally, we compare our video streaming-based model with image-based models for detecting aggression in group sheep. In sheep aggression, the video stream detection model can solve the false detection phenomenon caused by head impact feature occlusion of aggressive sheep in the image detection model.
A Neural-Network-Based Landscape Search Engine: LSE Wisconsin

The task of image retrieval is common in the world of data science and deep learning, but it has received less attention in the field of remote sensing. The authors seek to fill this gap in research through the presentation of a web-based landscape search engine for the US state of Wisconsin. The application allows users to select a location on the map and to find similar locations based on terrain and vegetation characteristics. It utilizes three neural network models—VGG16, ResNet-50, and NasNet—on digital elevation model data, and uses the NDVI mean and standard deviation for comparing vegetation data. The results indicate that VGG16 and ResNet50 generally return more favorable results, and the tool appears to be an important first step toward building a more robust, multi-input, high resolution landscape search engine in the future. The tool, called LSE Wisconsin, is hosted publicly on ShinyApps.io.
Lessons Learned From Industrial Applications of Automated Trucks for Deployment on Public Roads

Automated trucks may streamline road freight. While manufacturers and technology developers have long predicted their advent, technical and regulatory challenges persist, and systems beyond SAE level 2 are rare. However, systems at levels 3 and 4 are being adopted on industrial areas. Roads authorities want to study such applications to gain insights into requirements for implementing automated trucks on public roads. Two cases were studied here: Automated stone haulage (1), and automated snow removal (2). Interviews with project managers were used to identify opportunities and barriers, and evaluate the applicability of different technical and organizational solutions, for implementing automated trucks on public roads. Road and winter maintenance are explored, outlining the strengths and vulnerabilities of automated driving systems, and how other adaptations can overcome them. Requirements for pre-mapping, localization and communication are also elaborated. Considerations on control and oversight, and on automation as an enabler for electrification are explored, alongside the importance of change management procedures.