Miracle-dz/UniFAR-FTUs huggingface dataset:
Frameless Robotic-Assisted Deep Brain Stimulation With the Mazor Renaissance System

BACKGROUND: Robotic-assisted stereotactic systems for deep brain stimulation (DBS) have recently gained popularity because of their abilities to automate arduous human error-prone steps for lead implantation. Recent DBS literature focuses on frame-based robotic platforms, but little has been reported on frameless robotic approaches, specifically the Food and Drug Administration-approved Mazor Renaissance Guidance System (Mazor Robotics Ltd). OBJECTIVE: To present an initial case series for patients undergoing awake DBS with the Mazor Renaissance Guidance System and evaluate operative variables and stereotactic accuracy. METHODS: Retrospective data collection at a single institution was conducted for an initial 35 consecutive patients. Patient demographics and operative variables, including case times, microelectrode recording passes, and postoperative complications, were obtained by chart review. Implant accuracy was evaluated through measuring radial and vector (x, y) errors using the Mazor software. Pneumocephalus volumes were calculated using immediate postoperative T1-weighted MRI scans. RESULTS: Total operating room (245 ± 5.5 min) and procedural (179 ± 4.7) times were comparable with previous awake DBS literature. The radial error for center tract implants was 1.3 ± 0.1 mm, with smaller error in the first (1.1 ± 0.2) vs second (1.7 ± 0.3) implants of bilateral DBS (P = .048). Vector error analysis demonstrated larger shifts posteriorly for first implants and medially for second implants. Pneumocephalus volumes (12.4 ± 2.2 cm3) were not associated with increased microelectrode recording passes, radial error, or complications. CONCLUSION: Frameless robotic-assisted DBS is a safe and efficient new technology that has been easily adopted into the workflow at our institution.
Biogeographical variation on craniomandibular morphology in pallas’s squirrel \(\textit{Callosciurus erythraeus}\) (Pallas, 1779) (Rodentia: Sciuridae) in Vietnam

Different forest vegetations provide herbivorous small mammals with different resources, forcing adaptation since food habits depend on available resources. We expect differences in vegetation to be reflected in the size and shape of the skull and mandible as a result of potentially different feeding resources. Therefore, we analyzed the craniomandibular characteristics of Pallas’s squirrel (Callosciurus erythraeus) in Vietnam. This species commonly occurs in different vegetations in Vietnam, making it a good model for examining morphological adaptation to vegetation type. We analyzed morphologically the skulls and mandibles of 156 specimens collected from 31 localities in Vietnam from 1960 to the present. Principal component analysis showed that females occurring in the tropical lowland evergreen rain forest were clearly separated from those in other vegetations.
Real-Time Emotional Expression Generation by Humanoid Robot

Emotion integrates different aspects of a person, including mood (current emotional state), personality, voice or speech, color around the eyes, and facial organs' movement. We are considering the mood because a person’s current emotional state must always affect upcoming emotions. So behind an emotion, all these parameters are involved, and a human being can easily recognize it by seeing that face even if more than one person is there, so for the robot to make human-like emotion, all these parameters have to be considered to imitate artificial facial expression against that emotion. Most researchers working in this area still find difficulties in determining exact emotion by the robot because facial information is not always available, especially when interacting with a group of people and mimicking exact emotion that the user can effectively recognise. In our study, the loud most speeches among the people sensed by the robot and color around eyes are considered to cope with these issues. Another issue is the rise time and fall time of emotional intensity. In other words, how long should the robot keep an emotion here? An experimental approach is applied to get these values. The proposed method used an emotional speech database to recognize the human emotion using convunational neural network (CNN) and RGB patterns to mimic the emotion, which simulates an improved humanoid robot that can express emotion like human beings and give real-time responses to the user or group of users that can make more effective Human-Robot Interaction (HRI). Keywords—Artificial facial expression; emotional speech database; convunational neural network; RGB pattern; humanoid robot; human-robot interaction
Analysis of Nonlinear Destructive Interaction between Wind and Wave Loads Acting on the Offshore Wind Energy Converter based on the Hydraulic Model Test

In order to quantitatively estimate the nonlinear destructive interaction of wave load with wind load, which is very vital for the optimal design of offshore wind energy converter, we carried out a hydraulic model test and wind tunnel test. As a substructure of offshore wind energy converter, we would deploy the monopile, which is popular due to its easiness in construction. Based on the simulation using Monte Carlo simulation using Kaimal spectrum and cross spectrum, the instantaneous maximum wind velocity is adjusted to 10 m/s. And, considering the wave conditions of the Western Sea where a pilot wind farm is planned to be constructed, , 0.15 m, 0.2 m is carefully chosen. It turns out that the nonlinear destructive interaction between the wind and wave loads acting on the offshore wind energy converter is more clearly visible at rough seas rather than at mild seas, which strongly support our deduction that a Large eddy, a swirling vortex developed near the bumpy water surface in the opposite direction of the wind, is the driving mechanism underlying nonlinear destructive interaction between the wind and wave loads.
Exploring the Pygmalion Theory for Dance Education

: The leadership application in the field of dance education makes a big difference in learner's studying methods and results. Therefore, instructor’s leadership is judged to be an important factor in dance education. As an example of the Pygmalion, leaders in modern days are also required to help people getting opportunities and achieving their own expected goals. Recently, the Pygmalion effect has been used not only in education, but also in various fields such as business management and medical care. In education, expectations of instructors toward students has been proven to be correlated to learning efficiency and results of study. However, little research has been done on the theoretical use of Pygmalion leadership in profession of dance. It is necessary to study the applicability of Pygmalion Leadership in dance education since the leadership style of dance education can greatly influence learners’ performance outcome. Pygmalion effects refers to cases when one improves and achieves satisfying results by using self-fulfilling prophecy based on other’s expectations and care, and the field of education has utilized this sufficiently. This study aims to extend the usage of Pygmalion leadership that was often used in psychology, pedagogy, and business administration, and seek for ways to apply theory to the field of dance education.
RESEARCH TREND AND STATUS OF FORESTRY BASED ON ESSENTIAL SCIENCE INDICATORS DURING 2010–2020: A BIBLIOMETRIC ANALYSIS

This study analyzed 302 top papers in the subject category of Forestry from 2010 to 2020, which include 300 highly cited papers and 3 hot papers. All papers were written in English, belonging to 1,567 authors, 694 organizations and 74 countries/territories, published in 35 journals and book series. The top five Journals were Agricultural and Forest Meteorology, Forest Ecology and Management, Forests, Tree Physiology and Forest Policy and Economics. Top five countries and regions were USA, Germany, Canada, France and Peoples R China. Top five organizations were US Forest Serv, Chinese Acad Sci, INRA, Swedish Univ Agr Sci and Univ Freiburg. Among the all authors, Bauhus, Juergen from Univ Freiburg of Germany provided the highest number in 6 papers. All keywords were separated into seven clusters for different research topics. Visualizations offered exploratory information on the current state in a scientific field or discipline as well as indicated possible developments in the future.
Construction of a High-Density Genetic Linkage Map for the Mapping of QTL Associated with Growth-Related Traits in Sea Cucumber (Apostichopus japonicus)

Simple Summary Slow growth and germplasm degradation have restricted the sustainable commercial development of the sea cucumber industry. To analyze the genetic mechanism of growth traits of sea cucumbers, we constructed a high-density genetic linkage map based on single nucleotide polymorphism (SNP) molecular markers and performed a quantitative trait loci (QTL) mapping analysis. We annotated a critical candidate gene related to growth traits and explored mRNA expression levels. The results showed that the gene was significantly highly expressed during the larval developmental stages. These results can be used to genetically improve the growth traits of sea cucumbers. Abstract Genetic linkage maps have become an indispensable tool for genetics and genomics research. Sea cucumber (Apostichopus japonicus), which is an economically important mariculture species in Asia, is an edible echinoderm with medicinal properties. In this study, the first SNP-based high-density genetic linkage map was constructed by sequencing 132 A. japonicus individuals (2 parents and 130 offspring) according to a genotyping-by-sequencing (GBS) method. The consensus map was 3181.54 cM long, with an average genetic distance of 0.52 cM. A total of 6144 SNPs were assigned to 22 linkage groups (LGs). A Pearson analysis and QTL mapping revealed the correlations among body weight, body length, and papillae number. An important growth-related candidate gene, protein still life, isoforms C/SIF type 2 (sif), was identified in LG18. The gene was significantly highly expressed during the larval developmental stages. Its encoded protein reportedly functions as a guanine nucleotide exchange factor. These results would facilitate the genetic analysis of growth traits and provide valuable genomic resources for the selection and breeding of new varieties of sea cucumbers with excellent production traits.
Revisiting ARM Debugging Features: Nailgun and its Defense

Processors nowadays are consistently equipped with debugging features to facilitate program analysis. Specifically, the ARM debugging architecture involves a series of CoreSight components and debug registers to aid the system debugging, and a group of debug authentication signals are designed to restrict the usage of these components and registers. Meanwhile, the security of the debugging features is under-examined since it normally requires physical access to use these features in the traditional debugging model. However, ARM introduces a new debugging model that requires no physical access since ARMv7, which exacerbates our concern on the security of the debugging features. In this article, we perform a comprehensive security analysis of the ARM debugging features and summarize the security implications. To understand the impact of the implications, we also investigate a series of platforms with ARM-A architecture in different product domains (i.e., development boards, IoT devices, cloud servers, and mobile devices). We consider that the analysis and investigation expose a new attacking surface that universally exists in platforms with ARM-A architecture. To verify our concern, we further craft Nailgun attack, which obtains sensitive information (e.g., AES encryption key and fingerprint image) and achieves arbitrary payload execution in a high-privilege mode from a low-privilege mode via misusing the debugging features. This attack does not rely on software bugs, and our experiments show that almost all the platforms we investigated are vulnerable to the attack. Our analysis also indicates that ARM-R and ARM-M platforms may suffer from the same issue. To defend against the attack, we discuss potential mitigations from different perspectives in the ARM ecosystem. Finally, a practical defense mechanism based on ARM virtualization technology is presented, and the evaluation result shows that our defense can prevent Nailgun with a negligible performance penalty.
New faunistic data on the family Capniidae (Plecoptera) from the Carpathians (Romania and Ukraine)

Zwicknia acuta is reported for the first time from the South-Eastern Carpathians (Romania and Ukraine). Additionally, another stonefly species, Zwicknia kovacsi, previously described from Romania, is added to the Plecoptera fauna of Ukraine. New faunistic data are presented for two other winter-active species, Capnia vidua rilensis and Zwicknia bifrons. Based on a combination of personal and literature data we present a checklist of Capniidae from Romania and provide a key for them.
Genetic Parameters for Determining Useful Parents in Mungbean (Vigna radiata (L.) Wilczek) Breeding for Early Maturity, Small Seed Size, and High Seed Yield

Early maturity, small seed size, and high seed yield are important characters of mungbean in Indonesia. The objective of the study was to determine the useful parents in mungbean crosses for early maturity, small seed size, and high seed yield varieties by estimating the genetic parameters and their inheritance. The study was conducted at the ILETRI, Malang, East Java, Indonesia, during the dry season of 2014. 20 F1 and 5 parents were evaluated using a randomized block design, repeated three times. Results of the study showed that all observed traits showed the importance of both additive and dominance gene effects. The relative value of general combining ability (GCA) was greater than specific combining ability (SCA) for number of pod clusters per plant, number of branches per plant, plant height, days to maturity, and 100-seed weight which indicated the importance of additive gene effect. The dominance gene effect occurred on number of pods and seed yield per plant. Among five parents, G3 was the best combiner for all the observed characters except pod length; therefore, G3 could be exploited for late maturity, small seed size, high number of branches and pod cluster, and high seed yield. G5 has a high GCA for 100-seed weight. G1 and G2 have good GCA for early maturity. G3 and G5 genotypes are useful as parents in mungbean breeding for small and large seed size varieties, respectively. The best combination for seed yield was G2 × G3 and G3 × G1 crosses and could be proceeded with selection for early maturity, small seed size, and high seed yield varieties.
Dietary Intake in Relation to the Risk of Reflux Disease: A Systematic Review

Gastroesophageal reflux disease (GERD) is a chronic condition which has a high global prevalence. Dietary intake is considered to be a contributing factor for GERD. However, scientific evidence about the effect of diet on the risk of GERD is controversial. This systematic review was conducted to address this issue. A comprehensive structured search was performed using the MEDLINE, Scopus, and Web of Science databases up to August 2020, in accordance with the PRISMA statement. No restrictions were set in terms of language, time of publication, or study location. Study selection and data abstraction was conducted independently by two authors, and risk of bias was assessed using a modified Quality in Prognosis Studies Tool. Eligible studies evaluating the impact of food and dietary pattern on GERD were included in qualitative data synthesis. After excluding duplicate, irrelevant, and low quality studies, 25 studies were identified for inclusion: 5 case-control studies, 14 cross-sectional studies, and 6 prospective studies. This review indicates that high-fat diets, carbonated beverages, citrus products, and spicy, salty, and fried foods are associated with risk of GERD.
Spatial variability of Brunic Arenosols and associated soils along the slope of the Słupia River valley (middle Pomerania, northern Poland)

© 2021 by the authors. Licensee Soil Science Society of Poland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY NC ND 4.0) license (https://creativecommons.org/licenses/by-nc-nd/4.0/). * Spatial variability of Brunic Arenosols and associated soils along the slope of the Słupia River valley (middle Pomerania, northern Poland)
A survey of lifespans in Oribatida excluding Astigmata (Acari)

This contribution provides an update on the duration of life cycles and lifespans of oribatid mites based on a literature review. The total lifespan is the sum of the immature developmental time (egg to adult) and the longevity of the adult. Most investigations were carried out in the laboratory, few were performed in the field, under field conditions and/or compared with field data. Many life cycles were investigated under different environmental influences. The life cycles of 144 oribatid species are listed. Compared with the total number of known oribatid species, this number is very low. Data for the total lifespan are given for 52 species, either from observations in the laboratory or estimated in comparison with field studies, but can only be guesses of the real lifespan. The typical lifespan of an oribatid species in temperate or boreal regions lasts between 1 and 2 years, rarely 3 years. The few investigated tropical species from laboratory experiments show generally faster development and shorter lifespans as species from temperate regions; no field studies have been carried out in the tropics yet. Long lifespan periods of 5 to 8 years are particularly characteristic of species in polar regions and in mountainous temperate regions. Some examples of species with different longevity in distinct climate regions, very long lifespans and change of life parameters under stressful laboratory conditions are presented.
Conflict and Sensitivity Analysis of Articulated Vehicle Lateral Stability Based on Single-Track Model

Lateral stability is quite essential for the vehicle. For the vehicle with an articulated steering system, the vehicle load and steering system performance is quite different from the passenger car with the Ackman steering system. To investigate the influence of the tire characteristics and vehicle parameters on lateral stability, a single-track dynamic model is established based on the vehicle dynamic theory. The accuracy of the built model is validated by the field test result. The investigated parameters include the tire cornering stiffness, vehicle load, wheelbase, and speed. Based on the snaking steering maneuver, the lateral stability criteria including the yaw rate, vehicle sideslip angle, tire sideslip angle, and lateral force are calculated and compared. The sensitivity analysis of the tire and vehicle parameters on the lateral stability indicators is initiated. The results demonstrated that the parameters that aﬀect the lateral vehicle stability the most are the load on the rear part and the tire cornering stiffness. The ﬁndings also lay a foundation for the optimization of the vehicle’s lateral stability.
ATLAS TDAQ System Administration: evolution and re-design

The ATLAS Trigger and Data Acquisition system is responsible for the online processing of live data, streaming from the ATLAS experiment at the Large Hadron Collider at CERN. The online farm is composed of ∼3000 servers, processing the data read out from ∼100 million detector channels through multiple trigger levels. During the two years of the first Long Shutdown there has been a tremendous amount of work done by the ATLAS Trigger and Data Acquisition System Administrators, implementing numerous new software applications, upgrading the OS and the hardware, changing some design philosophies and exploiting the High- Level Trigger farm with different purposes. The OS version has been upgraded to SLC6; for the largest part of the farm, which is composed of net booted nodes, this required a completely new design of the net booting system. In parallel, the migration to Puppet of the Configuration Management systems has been completed for both net booted and local booted hosts; the Post-Boot Scripts system and Quattor have been consequently dismissed. Virtual Machine usage has been investigated and tested and many of the core servers are now running on Virtual Machines. Virtualisation has also been used to adapt the High-Level Trigger farm as a batch system, which has been used for running Monte Carlo production jobs that are mostly CPU and not I/O bound. Finally, monitoring the health and the status of ∼3000 machines in the experimental area is obviously of the utmost importance, so the obsolete Nagios v2 has been replaced with Icinga, complemented by Ganglia as a performance data provider. This paper serves for reporting of the actions taken by the Systems Administrators in order to improve and produce a system capable of performing for the next three years of ATLAS data taking.
Pruning Ratio Optimization with Layer-Wise Pruning Method for Accelerating Convolutional Neural Networks

SUMMARY Pruning is an e ﬀ ective technique to reduce computational complexity of Convolutional Neural Networks (CNNs) by removing redundant neurons (or weights). There are two types of pruning methods: holistic pruning and layer-wise pruning. The former selects the least important neuron from the entire model and prunes it. The latter conducts pruning layer by layer. Recently, it has turned out that some layer-wise methods are e ﬀ ective for reducing computational complexity of pruned models while preserving their accuracy. The di ﬃ culty of layer-wise pruning is how to adjust pruning ratio (the ratio of neurons to be pruned) in each layer. Because CNNs typically have lots of layers composed of lots of neurons, it is ine ﬃ cient to tune pruning ratios by human hands. In this paper, we present Pruning Ratio Optimizer (PRO), a method that can be combined with layer-wise pruning methods for optimizing pruning ratios. The idea of PRO is to adjust pruning ratios based on how much pruning in each layer has an impact on the outputs in the ﬁnal layer. In the experiments, we could verify the e ﬀ ectiveness of PRO.
Development of sandwich panels of customized functionalities for the rehabilitation of the built patrimony

The future of the construction in the next decades in most European Countries, especially those of Southern Europe, will mainly lie in the renovation of the existing building stock constructed over the past 40 years. Thousands of uncharacteristic buildings will need renovation in the next coming years forcing EU member states to reach the EU 2020 targets and implement the Energy Performance of Buildings Directive (EPBD), which recommends that by 31 December 2020 all new and retrofitted buildings in Europe will have to be nearly-zero energy buildings (NZEB). Sustainability and energy efficiency are closely linked to the building sector, having each country to address this problem now by investing in new buildings that can meet the highest standards of energy efficiency, but mostly by renovating the immense quantity of existing inefficient buildings where most of the population still lives. Seeing this crisis as an opportunity, this work aims to develop a concept for prefabricated customizable sandwich panels for the multifunctional renovation of buildings. More than a conventional solution, this proposal aims to combine sustainable building materials, available technologies and systems with advanced design and manufacturing tools within an integrated and mass-customizable approach of advanced building renovation prefabricated solutions. The adoption of the proposed solutions would not only contribute to the reduction of the energy inefficiency in buildings, but also minimize related construction problems, enabling some advanced features like the incorporation on the façade layout of advanced modules such as solar panels, to improve the system’s energy performance.