Miracle-dz/UniFAR-FTUs huggingface dataset:
Advantages and limitations of ceramic packaging technologies in harsh applications

Abstract Rising operating temperatures, environmental restrictions, harsh conditions around our electronics, shortage of space, expectations for long-term reliability and cost are some of the driving forces we all have to deal with during electronics design. While microelectronics and semiconductor industries are running in Moore's beat bringing out impressively small analog, digital or MEMS chips, their packaging is more often the actual challenge for developers and system designers. Advancing systems-on-package, smart sensors, modules for signal processing under extreme conditions need special packaging technologies and materials as well. There, at the front of the application sector, the availability of striking silicon dies alone does not automatically deliver solutions for some advanced applications. Some of the drawbacks with traditional PCB's and housings can be resolved using ceramic boards and suitable connection technologies. A good combination of miniaturization potential and advantageous chara.
DECENTRALIZED GRID-COMPATIBLE PV POWER SUPPLY - STRATEGY FOR ELECTRIFICATION AND INTEGRATION CONCEPTS WITH MODULAR TECHNOLOGY -

ABSTRACT: This paper presents a strategic approach for decentralized electrification world-wide which has evolved from the PV modular systems technology. Apart from supply units for minute, isolated consumers such as solar homes, a standard, modularly expandable, stand-alone system configuration is proposed in AC single-phase technology, which can act as a foundation stone for decentralised electrification with photovoltaics world-wide. It can be easily adapted to satisfy diverse consumer requirements, expanded to cover increasing power needs as a single or three-phase stand-alone hybrid system and connected to a utility grid, if available. Based on the standardization of system design, the market-oriented grade of modularization and a small set of inverters, the modular technology enables integral solutions for expandable, decentralized electrification. Series-produced, utility-grid compatible components from different manufacturers can be simply assembled in order to set up expandable stand-alone systems. The first modular inverters already make up an important part of the global PV market. In order to promote the design and demonstrate this tech-nology, ISET and IEE of the University Gh Kassel have joined forces with manufacturers and other research insti-tutes.The latest findings, products and complete systems are to be seen in the design centre DeMoTec, recently inaugu-rated in Kassel. Keywords: Power Supply - 1: Strategy- 2: Hybrid – 3. 1. INTRODUCTION As the availability of electrical energy plays a decisive role in the development of a country, it is expected to show an even faster growth rate, as depicted by the red bars in the graph. In spite of the energy-related environmental burdens and the scarcity of energy resources, the consumption of energy world-wide will rapidly increase. In the last 50 years, we have experienced a four fold rise in primary energy consumption (see Figure 1). At present, about two thousand million people – one third of the earth's population – are not connected to an electrical grid. The solution of this supply task will require Shell predicts in its latest long-term scenario, that there a great deal of effort and commitment world-wide. will be a further increase in the next 50 years by a factor of two point five, which means a ten-fold increase in a hun-dred years. The contribution made by renewable energies will rapidly gain in importance and by the middle of the next century they could even be satisfying 50 % of the demand. This presentation will concentrate on electrification, because it will allow new supply fields to be established, future markets to be prepared and urgent supply problems to be solved.
Identifying key factors for building information modelling adoption in Singapore

Building information modelling (BIM) enables firms in the architecture, engineering and construction (AEC) industry to transform the construction value chain into a technologically enhanced construction process. One of the fundamental concerns to emerge related to BIM adoption is how to implement BIM successfully. Thus, it is considered crucial to identify the key factors (KFs) that influence the success of BIM initiatives. This study is conducted to find the influence factors and also undertake an analysis in order to identify the KFs that would facilitate successful BIM adoption and implementation in Singapore. The research concluded that improved coordination, better accuracy in a faster timeframe, fewer on-site clashes and fewer change orders are the important benefits of BIM adoption. The research findings should help AEC firms to ensure the realisation of BIM adoption and implementation in the project life cycle. It should also help Singapore’s government agencies to plan properly for supporting BIM.
Distributed microservice architecture with Docker

In a globalized world where big opportunities come through the Internet, where people is accustomed to be bombarded with a big quantity of information and they want this information to be available as quick as possible. How can an organization expand its business all over the world? How can they build an application or product to collect information and deploy it in a distributed system? A problem to solve comes out. A distributed data scraper designed under a distributed architectural style represented called microservice architecture implemented with Docker technologies is a possible solution. A system under a Docker Swarm cluster that automatically deploy and distributes data scrapers and other services involved among the different nodes in the cluster, where each service is independently working for providing highly available collections of information to an endpoint for being consumed by and application.
Transhemispheric cortex remodeling promotes forelimb recovery after spinal cord injury

Understanding the reorganization of neural circuits spared after spinal cord injury in the motor cortex and spinal cord would provide insights for developing therapeutics. Using optogenetic mapping, we demonstrated a transhemispheric recruitment of neural circuits in the contralateral cortical M1/M2 area to improve the impaired forelimb function after a cervical 5 right-sided hemisection in mice, a model mimicking the human Brown-Séquard syndrome. This cortical reorganization can be elicited by a selective cortical optogenetic neuromodulation paradigm. Areas of whisker, jaw, and neck, together with the rostral forelimb area, on the motor cortex ipsilateral to the lesion were engaged to control the ipsilesional forelimb in both stimulation and nonstimulation groups 8 weeks following injury. However, significant functional benefits were only seen in the stimulation group. Using anterograde tracing, we further revealed a robust sprouting of the intact corticospinal tract in the spinal cord of those animals receiving optogenetic stimulation. The intraspinal corticospinal axonal sprouting correlated with the forelimb functional recovery. Thus, specific neuromodulation of the cortical neural circuits induced massive neural reorganization both in the motor cortex and spinal cord, constructing an alternative motor pathway in restoring impaired forelimb function.
Mönster i rappakaljan

Föreliggande artikel är resultatet av ett test som undersöker om det går att använda ett högst bristfälligt resultat av automatisk transkribering via Googles tjänst Speech-to-Text av 208 inspelade föreläsningar hämtade från den svenska salafistiska hemsidan Islam.nu för att finna återkommande mönster. Syftet är att få en översikt över innehållet i ett material som är både omfattande och i sitt ursprungsformat svåröverskådligt. Artikeln är en genomgång steg för steg av en process som kombinerar datorassisterade metoder för fjärrläsning och nätverksanalys. Experimentets resultat tyder på att datorassisterad analys av automatiskt transkriberade texter kan fylla en funktion framför allt som en del i en process att identifiera relevant material för djupstudier.
Carrots versus Sticks: Assessing Intervention Effectiveness and Implementation Challenges for Active Transport

Strategies to manage transportation demand are colloquially labeled carrots or sticks: carrots (or enablers) to entice desired travel behaviors and sticks (or deterrents) that discourage undesirable ones. Assessing the merits of each approach requires answering two questions: which approach is most effective at influencing travel behavior; and what is the difference in terms of ease of implementation between carrots and sticks? The literature typically examines these questions in isolation, but success depends upon both intervention efficacy and the ability to implement. Using a multiple-methods approach, we find those interventions that incorporate both enablers and deterrents are most effective at encouraging active transportation while remaining feasible to implement.
Novel Switched Capacitor Quadruple-Boost Inverter Configuration for 3ϕ Induction Motor Drive

A novel switched capacitor (SC) quadruple-boost inverter configuration for low-power <inline-formula> <tex-math notation="LaTeX">$3\phi $ </tex-math></inline-formula> induction motor (IM) drive applications is proposed, which is built by cascading a novel switched capacitor network (SCN) with a traditional six-switch <inline-formula> <tex-math notation="LaTeX">$3\phi $ </tex-math></inline-formula> inverter (<inline-formula> <tex-math notation="LaTeX">$3\phi \text{I}$ </tex-math></inline-formula>). The SCN can boost the input dc voltage up to four times. Compared to a traditional <inline-formula> <tex-math notation="LaTeX">$3\phi \text{I}$ </tex-math></inline-formula>, where the dc-link voltage is fixed, the SCN in the proposed configuration facilitates two discrete voltage levels 3 and <inline-formula> <tex-math notation="LaTeX">$4V_{\mathrm {dc}}$ </tex-math></inline-formula>, resulting in a complex two-layer space vector (SV) hexagon. Accordingly, a novel SV pulsewidth modulation (PWM) is proposed to handle a general multilayer SV hexagon, which is then customized to control the proposed configuration. A switching function-based state-space model of the proposed topology is also presented. A comparative study between the proposed SCN and the existing SCNs is carried out to highlight that the proposed SCN has the lowest component count. An experimental prototype of the proposed topology to run a low-power <inline-formula> <tex-math notation="LaTeX">$3\phi $ </tex-math></inline-formula> IM has been built and operated with <inline-formula> <tex-math notation="LaTeX">$v/f$ </tex-math></inline-formula> control strategy, which exploits the advantage of the proposed multilayer SVM. It is observed that the proposed system performs well. Key experimental results are presented and discussed to support the theoretical claims.
Personality Traits as Determinants of Body Image and the Mediation Role Of Perfectionism in Cosmetic Surgery

Objectives: The objectives of the study were to examine the relationship between symptoms of body dysmorphic disorder (body image) and personality traits: neuroticism, conscientiousness, extraversion, agreeableness, and openness to new experiences as well as the mediating role of perfectionism on the relationship between personality traits and body image in people undergoing cosmetic surgery. Methods: Results: The results of hierarchical regression analysis and mediation analysis showed that perfectionism has been shown to play a mediating role in the relationship between personality traits and body image. Conclusions: This research opens new directions for the study of psychological variables in cosmetic surgery and is also the first research in our area on the relationship between body image and personality traits. Because our sample is made up of participants who have had different surgical treatments, and given the huge increase in cosmetic surgery, a fuller understanding of personality influences can also allow surgeons to more accurately assess patients ‘suitability for surgery. It can also lead to a better understanding of the psychological aspects of cosmetic surgery and strengthen the foundation for promoting a healthier body image.
Bottom-up evidence-based calibration of the HVAC air-side loop of a building energy model

This paper proposes an evidence-based bottom-up method to calibrate the heating, ventilation, and air conditioning air-side loop of a building energy model. The building model is calibrated using Building Automation System trend data for each thermal zone with respect to the supply air flow rate, indoor air temperature, and cooling load. The calibration at the air-handling unit (AHU) level is based on the supply air flow rate leaving the AHU, and the cooling coil load. The calibration quality is evaluated by using graphical representation, statistical indices, and paired hypothesis testing. The results proved that once the calibration of supply air flow rate was achieved for most zones, the AHU model was calibrated with respect to supply air flow rate and cooling coil load, without any additional tuning through the trial-and-error method.
Time course and fibre type‐dependent nature of calcium‐handling protein responses to sprint interval exercise in human skeletal muscle

Sprint interval training (SIT) causes fragmentation of the skeletal muscle sarcoplasmic reticulum Ca2+ release channel, ryanodine receptor 1 (RyR1), 24 h post‐exercise, potentially signalling mitochondrial biogenesis by increasing cytosolic [Ca2+]. Yet, the time course and skeletal muscle fibre type‐specific patterns of RyR1 fragmentation following a session of SIT remain unknown. Ten participants (n = 4 females; n = 6 males) performed a session of SIT (6 × 30 s ‘all‐out’ with 4.5 min rest after each sprint) with vastus lateralis muscle biopsy samples collected before and 3, 6 and 24 h after exercise. In whole muscle, full‐length RyR1 protein content was significantly reduced 6 h (mean (SD); −38 (38)%; P < 0.05) and 24 h post‐SIT (−30 (48)%; P < 0.05) compared to pre‐exercise. Examining each participant's largest response in pooled samples, full‐length RyR1 protein content was reduced in type II (−26 (30)%; P < 0.05) but not type I fibres (−11 (40)%; P > 0.05). Three hours post‐SIT, there was also a decrease in sarco(endo)plasmic reticulum Ca2+ ATPase 1 in type II fibres (−23 (17)%; P < 0.05) and sarco(endo)plasmic reticulum Ca2+ ATPase 2a in type I fibres (−19 (21)%; P < 0.05), despite no time effect for either protein in whole muscle samples (P > 0.05). PGC1A mRNA content was elevated 3 and 6 h post‐SIT (5.3‐ and 3.7‐fold change from pre, respectively; P < 0.05 for both), but peak PGC1A mRNA expression was not significantly correlated with peak RyR1 fragmentation (r2 = 0.10; P > 0.05). In summary, altered Ca2+‐handling protein expression, which occurs primarily in type II muscle fibres, may influence signals for mitochondrial biogenesis as early as 3–6 h post‐SIT in humans.
Overview of Spirometry and the Use of Its Parameters for Asthma Monitoring in Children

Asthma is the most common chronic pulmonary disease in the world, affecting more than three hundred million people from different races and age groups. Childhood asthma is considered one of the main causes of increased healthcare expenditures, particularly in developing countries. Spirometry is the most essential and commonly used lung function test. It is used mainly for the evaluation of lung function to obtain reliable data used for the detection of lung diseases, such as asthma, as well as for monitoring lung health. The two spirometry parameters, peak expiratory flow rate (PEFR) and forced expiratory volume in one second (FEV1), are effective in the diagnosis and management of patients with asthma. However, FEV1 is preferred as it is a more accurate parameter compared to PEFR for the evaluation and recognition of bronchoconstriction. In children with asthma, the most commonly used lung function parameter for asthma monitoring is FEV1. It was discovered that a decrease in FEV1 is associated with an increase in asthma severity.
Deviation From Model of Normal Aging in Alzheimer’s Disease: Application of Deep Learning to Structural MRI Data and Cognitive Tests

Background. Psychophysiological and cognitive tests as well as other functional studies can detect pre-symptomatic stages of dementia. When assembled with structural data, cognitive tests diagnose NDs more reliably thus becoming a multimodal diagnostic tool. Objective. Our main goal is to improve screening for dementia by studying an association between the brain structure and its function. Hypothetically, the brain structure-function association has features specific for either disease-related cognitive deterioration or normal neurocognitive slowing while aging. Materials and methods. We studied a total number of 287 cognitively normal cases, 646 of mild cognitive impairment, and 369 of Alzheimer’s disease. To work out a new marker of neurodegeneration, we created a convolutional neural network-based regression model and predicted the cognitive status of the cognitively preserved examinee from the brain MRI data. This was a model of normal aging. A big deviation from the model suggests a high risk of accelerated cognitive decline. Results. The deviation from the model of normal aging can accurately distinguish cognitively normal subjects from MCI patients (AUC = 0.9957). We also achieved creditable performance in the MCI-versus-AD classification (AUC = 0.9793). We identified a considerable difference in the MMSE test between A-positive and A-negative demented individuals according to ATN-criteria (6.27±1.82 vs 5.32±1.9; $p< 0.05$ ). Conclusion. The deviation from the model of normal aging can be potentially used as a marker of dementia and as a tool for differentiating Alzheimer’s disease from non-Alzheimer’s dementia. To find and justify a reliable threshold levels, further research is required
Algorithm of ESXi cluster migration between different vCenter servers with the ability to rollback

Introduction: Hypervisor managers may become deprecated or outdated or may fail. In addition, customers may want to rebalance hypervisor load. All these can cause problems related to the incompatibility of software with different manager versions or to the level of application integration. An effective solution to such problems is to automatically migrate the configuration and resources between hypervisor manager instances. Purpose: To develop an algorithm of the automatic migration of configurations and resources of an ESXi cluster between different vCenter Server instances with the ability to rollback in the event of a failure. Results: An automatic migration algorithm has been proposed. On its basis a program module for enterprise storage has been developed, which allows migrating an ESXi cluster on which a storage system is deployed from one vCenter Server to another. The module handles errors, and in case an exception or error occurs the module initiates a rollback operation in order to revert to the original vCenter Server. The study presents an experimental evaluation based on the comparison of the manual migration and the execution of the developed module. The time needed for the migration procedure has been reduced from 55 minutes to about 3 minutes, i.e., by 15–18 times. The amount of information to be known or taken into consideration by a user has also been reduced. Practical relevance: The study results have been used for enterprise storage. The developed module makes migrations to a new vCenter Server easier and faster.
Impact of operation condition on temperature distribution in single cell of polymer electrolyte fuel cell operated at higher temperature than usual

For improving performance of the stationary Polymer Electrolyte Fuel Cell (PEFC) system, the cell operating temperature up to 90 ℃ will be preferred in Japan during the period from 2020 to 2030. To understand the operation of the PEFC system under relatively high temperature conditions, detail heat and mass transfer analysis is required. The main focus of this study is to analyze the PEFC performance under operational conditions, such as initial operational temperature of cell ( T ini ), relative humidity of supply gas, and the cathode gas type, temperature distribution in a cell of PEFC (using Nafion membrane) under relatively higher operating temperature conditions. The in-plane temperature distributions on backside of gas separator of cell under power generation were measured using thermograph and it was observed that the in-plane temperature distribution at the anode was more uniform than that at the cathode under the O 2 supply condition, irrespective of T ini , relative humidity of supply gases except T ini of 100 ℃ . As to T ini of 100 ℃ , the in-plane temperature distribution at the anode was broader since the back diffusion of water from the cathode to the anode was helped compared to the other T ini . The temperature at the cathode was raised through the gas channel toward the outlet of cell for the relative humidity of supply gases of 100 %RH at T ini of 90 ℃ , while the temperature increase was relatively smaller at T ini of 80 ℃ . The in-plane temperature distribution at the anode under the air supply condition was broader compared to not only that at the cathode, but also that at the anode under the O 2 supply condition. It is necessary to manage the water concentration (liquid water accumulation in gas channel and gas diffusion layer (GDL) as well as relative humidity in PEM and catalyst layer) and required O 2 supply in order to obtain a good power generation performance of PEFC under relatively higher temperature operating conditions than usual. generation at relatively higher temperature. Based on the experimental results and their analysis, the following points are concluded.
Cyanobacterial Root Associations of Leafless Epiphytic Orchids

The leafless orchids are rare epiphytic plants with extremely reduced leaves, and their aerial roots adopted for photosynthesis. The beneficial plant–microbial interactions contribute significantly to host nutrition, fitness, and growth. However, there are no data available on the bacterial associations, inhabiting leafless orchids. Here, we describe the diversity of cyanobacteria, which colonize the roots of greenhouse Microcoelia moreauae and Chiloschista parishii. The biodiversity and structure of the cyanobacterial community were analyzed using a complex approach, comprising traditional cultivable techniques, denaturing gradient gel electrophoresis (DGGE), and phylogenetic analysis, as well as the light and scanning electron microscopy (SEM). A wide diversity of associated bacteria colonize the root surface, forming massive biofilms on the aerial roots. The dominant populations of filamentous nitrogen-fixing cyanobacteria belonged to the orders Oscillatoriales, Synechococcales, and Nostocales. The composition of the cyanobacterial community varied, depending on the nitrogen supply. Two major groups prevailed under nitrogen-limiting conditions, belonging to Leptolyngbya sp. and Komarekiella sp. The latter was characterized by DGGE profiling and sequencing, as well as by its distinctive features of morphological plasticity. The leading role of these phototrophophic and diazotrophic cyanobacteria is discussed in terms of the epiphytic lifestyle of the leafless orchids.