Miracle-dz/UniFAR-FTUs huggingface dataset:
The low threshold-voltage shift with temperature and small subthreshold-slope in 28 nm UTBB FDSOI for 300 °C high-temperature application

Partially depleted silicon-on-insulator (PDSOI) MOSFETs are widely used in 225 °C high-temperature electronic system applications with integrated circuits. But the process node stays at 0.5 µm for a long time and no further breakthrough can be achieved. This paper reports the high-temperature characteristics of 28 nm ultra-thin body and box fully depleted SOI (FDSOI) CMOS transistors with low threshold voltage (LVT) structure. Experimental results demonstrate that V t shift changes with temperature as low as 0.59 mV °C−1, the subthreshold slope (SS) is 145.35 mV dec−1 at 300 °C, and the related parameters are optimized by 3.7 times and 2.2 times respectively compared with 0.13 µm PDSOI. Combined with theoretical analysis, it is proved that the ultra-body FDSOI has an LVT drift rate and better SS than 0.13 µm PDSOI at high temperature. The advantage of this performance is mainly due to the difference between αVT α VT and β VT coefficients related to the back gate effect. Under negative back-gate bias, the I on/l off ratio can be increased by two orders of magnitude without affecting V t shift changes with temperature, this proves that the FDSOI is capable of high-temperature applications above 300 °C. This paper provides substantial support for future high-temperature system integrated circuits from the micro-scale to the nano-scale.
Noise treatment in Three Gorges-Shanghai ±500kV DC transmission converter stations

With the operation of DC converter stations,noise generated from various equipments will impose certain impact to surrounding residents.Three Gorges-Shanghai ±500 kV DC Transmission Project(TGS) initially list noise treatment as part of project construction itself,to apply related science research achievement and previous project experience into TGS' converter station's design,it is the first time to conduct noise reduction work simultaneously with design,construction and operation of the project itself,the target is to contribute benign social and economic effect.A deep analysis of DC converter stations' sound source and a detailed description was carried out regarding the noise treatment measures and effects,the experience retrieved from DC converter station noise treatment was summarized,which will deliver some practical reference and guidance to future DC projects' noise reduction work.
Long-Term Safety and Efficacy of Prolonged Dual Antiplatelet Therapy according to Baseline Anemia after Percutaneous Coronary Intervention

Purpose We aimed to evaluate the outcomes of prolonged dual antiplatelet therapy (DAPT) depending on baseline anemia after percutaneous coronary intervention (PCI). Materials and Methods Among the 1470 study participants, 448 (30.5%) were classified as having baseline anemia. We categorized the study population according to baseline anemia and DAPT duration: ≤12-month (m) DAPT (n=226) vs. >12-m DAPT (n=222) in anemic patients, and ≤12-m DAPT (n=521) vs. >12-m DAPT (n=501) in non-anemic patients. Results During a follow-up of 80.8 (interquartile range 60.6–97.1) months, anemic patients showed a higher incidence of major adverse cardiovascular and cerebrovascular events (MACCEs) (26.9% vs. 17.1%, p<0.001) and major bleeding (9.8% vs. 5.1%, p=0.006). Among the non-anemic patients, prolonged DAPT was associated with a reduced rate of MACCEs [inverse probability of treatment weighting (IPTW) adjusted hazard ratio (HR), 0.78; 95% confidence interval (CI), 0.63–0.96; p=0.019] without an increase in major bleeding (IPTW adjusted HR, 1.12; 95% CI, 0.75–1.68; p=0.574). However, prolonged DAPT was not related to the incidence of MACCEs (IPTW adjusted HR, 1.11; 95% CI, 0.88–1.39; p=0.387), with increased major bleeding (IPTW adjusted HR, 2.01; 95% CI, 1.32–3.06; p=0.001) among anemic patients. Conclusion Although extended DAPT led to a reduction in MACCEs in non-anemic patients, it was related to increased major bleeding without reducing MACCEs in anemic patients.
Data Integrity Attacks in Cloud Computing: A Review of Identifying and Protecting Techniques

Cloud computing is growing tremendously in recent years. Many organizations are switching their traditional computing model to a cloud based because of its low cost and pay-as-you-go manner. Although Cloud Service Provider (CSP) ensures that the data stored in their remote cloud server will be intact and secure. But there are many data integrity issues exist that needed to be addressed. In Cloud environment, lack of data integrity is a major concern. In this paper, we have surveyed several past studies which identifies the issues related to the cloud data storage security such as data theft, unavailability, and data breach of cloud server data. We have also provided a detailed analysis of types of data integrity attacks and their mitigation techniques.
BIOCHEMICAL COMPOUNDS FROM APRICOT LEAVES INVOLVED IN RESISTANCE TO MONILINIA SPP.

"Brown rot caused by Monilinia laxa is an important fungal disease of apricot (Prunus armeniaca) causing economical losses in different growing areas in Europe. M. laxa induces great damage in apricot, attacking flowers, leaves, stem, branches and fruits. The damage severity is strictly related to the climate conditions and several fungicide treatments are often necessary in order to limit the disease. Therefore, the aim of this study was to investigate the changes in the content of pigments (chlorophylls, carotenoids), total polyphenols, peroxidase, catalase, polyphenol oxidase in the leaves of the different apricot varieties. All these parameters were chosen taking in account their involvement in plant disease resistance. Concerning to chlorophylls and carotenoids level, less amounts were recorded in the leaves collected from the all symptomatic apricot varieties studied. Activities of peroxidase, catalase and polyphenol oxidase and total polyphenols were increased in the apricot samples affected by M. laxa compared with the healthy ones. Among the analyzed cultivars, Dacia, Litoral and Favorit showed a great tolerance to M. laxa. The genotypes like Carmela and Viorica showed different susceptibility. IN RESISTANCE TO MONILINIA SPP. "
Anthropogenic changes in waterways produce “drought-like” layers in shelf sediments

A primary component of the global sediment cycle is the delivery of sediment from rivers to the sea, an input that fluctuates in magnitude and frequency owing to changes in precipitation. Some of these fluctuations can be recognized in the sedimentary record on the continental shelf and used to reconstruct past climatic conditions. However, recent damming and waterway diversions have affected the volume, location, and arrival intervals of alluvial deposits to the sea. Yet, the reflection of these anthropogenic endeavors on the sedimentological record and how they relate to climatic shifts is not well understood. In this study, we examined the inner continental shelf sediments in the northern Gulf of Aqaba-Eilat and the Israeli coast of the Mediterranean Sea to determine how they were impacted by 20th century anthropogenic alterations of incoming rivers. In the Gulf of Aqaba-Eilat, a drought-like upper sediment layer appeared where floods are no longer reaching the sea because of river channel diversion. This Horizon contained microplastics, timing it to after the foundation of the city of Eilat. These markers are disassociated from recorded rainfall and flood events and were not replicated where floods continued to reach the sea. In the Mediterranean, the observed drought-like changes in the sediment corresponded with the damming of the Nile. Our results show that in both cases, anthropogenically reduced load of fine alluvial (mostly flood) particles and continued winnowing caused sediments to coarsen and become more sorted with higher concentrations of larger foraminifera tests. These sedimentological markings resemble those reported for prolonged droughts, but can be differentiated by discrepancies to recent climatic records. Considering the alterations of waterways worldwide, this sedimentological mismatch may constitute a new proxy of the Anthropocene and highlights the way that human activities are altering the sediment cycle.
Haptic Controller Design and Palm-sized Vibrotactile Array

We present a haptic controller prototype and a palmsized vibrotactile array. A primary design goal was to produce a simple device suitable for prototyping ideas or introducing students to haptic controllers. Despite its simplicity, the controller is useful for various applications of low-cost DC tactors. It receives commands from a PC through a standard serial interface and controls up to 32 DC elements such as vibrating pager motors, with intensity of each element controlled by pulse-width modulation. We used the controller to construct a 30tactor rectangular vibrotactile array as a testbed for feedback to a user’s palm using low-cost DC tactors. We describe the use of spatial anti-aliasing for improved sensations. We also introduce a touchpad-driven interpersonal haptic communication system in which the array is driven by touchpad input, thereby allowing one user to haptically “draw” on a remote user’s hand.
S1P Signalling Axis Is Necessary for Adiponectin-Directed Regulation of Electrophysiological Properties and Oxidative Metabolism in C2C12 Myotubes

Background: Adiponectin (Adn), released by adipocytes and other cell types such as skeletal muscle, has insulin-sensitizing and anti-inflammatory properties. Sphingosine 1-phosphate (S1P) is reported to act as effector of diverse biological actions of Adn in different tissues. S1P is a bioactive sphingolipid synthesized by the phosphorylation of sphingosine catalyzed by sphingosine kinase (SK) 1 and 2. Consolidated findings support the key role of S1P in the biology of skeletal muscle. Methods and Results: Here we provide experimental evidence that S1P signalling is modulated by globular Adn treatment being able to increase the phosphorylation of SK1/2 as well as the mRNA expression levels of S1P4 in C2C12 myotubes. These findings were confirmed by LC-MS/MS that showed an increase of S1P levels after Adn treatment. Notably, the involvement of S1P axis in Adn action was highlighted since, when SK1 and 2 were inhibited by PF543 and ABC294640 inhibitors, respectively, not only the electrophysiological changes but also the increase of oxygen consumption and of aminoacid levels induced by the hormone, were significantly inhibited. Conclusion: Altogether, these findings show that S1P biosynthesis is necessary for the electrophysiological properties and oxidative metabolism of Adn in skeletal muscle cells.
Wilson’s Disease Update: An Indian Perspective

Wilson's disease (WD) is an autosomal recessive disorder due to ATP7B gene mutation, resulting in defective copper metabolism, with liver and brain being primarily affected. Being a treatable disorder, early diagnosis and proper management of WD may result in near complete recovery. It has received significant attention over the past 50 years, with several Indian contributions. This study collates published Indian studies on WD in Pubmed and Embase databases and puts them in perspective. Several Indian case series suggest that WD may be more prevalent than thought. Commonly detected ATP7B mutation in India is p.C271X. Although initial Indian series reported significant osseomuscular presentation, neuropsychiatric and hepatic manifestations dominated the later reports. A significant male predominance is observed in Indian series. Pure hepatic presentation starts earlier than neurological or osseomuscular WD. A positive family history may be seen in nearly 50% of Indian WD cases with a high rate of consanguinity. Up to two-third of Indian cases may be initially misdiagnosed, with a mean diagnostic delay of up to 2 years. Abnormalities in serum ceruloplasmin and 24-hour urinary copper has been reported in more than four-fifth cases. Brain MRI is abnormal in nearly all neurological WD cases. Copper chelation remains the mainstay of therapy, with D-penicillamine being the most widely used chelator in India. Global Assessment Scale for WD is a comprehensive tool for clinical monitoring. Hepatic presentation carries a five-time higher mortality risk than neurological, with up to 90% Indian neurological WD cases recovering to pre-morbid functionality with adequate therapy.
Weakly Supervised Semantic Segmentation Via Progressive Patch Learning

Most of the existing semantic segmentation approaches with image-level class labels as supervision, highly rely on the initial class activation map (CAM) generated from the standard classification network. In this paper, a novel “Progressive Patch Learning” approach is proposed to improve the local details extraction of the classification, producing the CAM better covering the whole object rather than only the most discriminative regions as in CAMs obtained in conventional classification models. “Patch Learning” destructs the feature maps into patches and independently processes each local patch in parallel before the final aggregation. Such a mechanism enforces the network to find weak information from the scattered discriminative local parts, achieving enhanced local details sensitivity. “Progressive Patch Learning” further extends the feature destruction and patch learning to multi-level granularities in a progressive manner. Cooperating with a multi-stage optimization strategy, such a “Progressive Patch Learning” mechanism implicitly provides the model with the feature extraction ability across different locality-granularities. As an alternative to the implicit multi-granularity progressive fusion approach, we additionally propose an explicit method to simultaneously fuse features from different granularities in a single model, further enhancing the CAM quality on the full object coverage. Our proposed method achieves outstanding performance on the PASCAL VOC 2012 dataset (e.g., with 69.6$\%$ mIoU on the test set), which surpasses most existing weakly supervised semantic segmentation methods.
A Hybrid Intelligent Framework to Combat Sophisticated Threats in Secure Industries

With the new advancements in Internet of Things (IoT) and its applications in different sectors, such as the industrial sector, by connecting billions of devices and instruments, IoT has evolved as a new paradigm known as the Industrial Internet of Things (IIoT). Nonetheless, its benefits and applications have been approved in different areas, but there are possibilities for various cyberattacks because of its extensive connectivity and diverse nature. Such attacks result in financial loss and data breaches, which urge a consequential need to secure IIoT infrastructure. To combat the threats in the IIoT environment, we proposed a deep-learning SDN-enabled intelligent framework. A hybrid classifier is used for threat detection purposes, i.e., Cu-LSTMGRU + Cu-BLSTM. The proposed model achieved a better detection accuracy with low false-positive rate. We have conducted 10-fold cross-validation to show the unbiasdness of the results. The proposed scheme results are compared with Cu-DNNLSTM and Cu-DNNGRU classifiers, which were tested and trained on the same dataset. We have further compared the proposed model with other existing standard classifiers for a thorough performance evaluation. Results achieved by our proposed scheme are impressive with respect to speed efficiency, F1 score, accuracy, precision, and other evaluation metrics.
Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation

Context. Since its proclamation in 2012, microservices-based architecture has gained widespread popularity due to its advantages, such as improved availability, fault tolerance, and horizontal scalability, as well as greater software development agility. Motivation. Yet, refactoring a monolith to microservices by smaller businesses and expecting that the migration will bring benefits similar to those reported by top global companies, such as Netflix, Amazon, eBay, and Uber, might be an illusion. Indeed, for systems that do not have thousands of concurrent users and can be scaled vertically, the benefits of such migration have not been sufficiently investigated, while the existing evidence is inconsistent. Objective. The purpose of this paper is to compare the performance and scalability of monolithic and microservice architectures on a reference web application. Method. The application was implemented in four different versions, covering not only two different architectural styles (monolith vs. microservices) but also two different implementation technologies (Java vs. C#.NET). Next, we conducted a series of controlled experiments in three different deployment environments (local, Azure Spring Cloud, and Azure App Service). Findings. The key lessons learned are as follows: (1) on a single machine, a monolith performs better than its microservice-based counterpart; (2) The Java platform makes better use of powerful machines in case of computation-intensive services when compared to.NET; the technology platform effect is reversed when non-computationally intensive services are run on machines with low computational capacity; (3) vertical scaling is more cost-effective than horizontal scaling in the Azure cloud; (4) scaling out beyond a certain number of instances degrades the application performance; (5) implementation technology (either Java or C#.NET) does not have a noticeable impact on the scalability performance.
Cell Membrane-Cloaked Nanotherapeutics for Targeted Drug Delivery

Cell membrane cloaking technique is bioinspired nanotechnology that takes advantage of naturally derived design cues for surface modification of nanoparticles. Unlike modification with synthetic materials, cell membranes can replicate complex physicochemical properties and biomimetic functions of the parent cell source. This technique indeed has the potential to greatly augment existing nanotherapeutic platforms. Here, we provide a comprehensive overview of engineered cell membrane-based nanotherapeutics for targeted drug delivery and biomedical applications and discuss the challenges and opportunities of cell membrane cloaking techniques for clinical translation.
Manifestation of topography and climate variations on long-term glacier changes in the Alaknanda Basin of Central Himalaya, India

Abstract Here, we present a detailed analysis of glaciers in the Alaknanda Basin, Central Himalaya, starting with a novel glacier inventory for 1968 and 2020 using high-resolution datasets of Corona and Sentinel-2A. Primarily, we examine the factors influencing changes in glacier characteristics. Results show that glacier area reduced to 683 ± 47.81 km2 from 742 ± 44.4 km2, and the number of glaciers increased to 116 from 98 between 1968 and 2020. The annual average recession of glaciers in the basin is 11.75 ± 1.6 m/year for the corresponding period. Also noted is a significant increase (∼38%) in supraglacial debris cover extent of the glaciers during 2000–2020. Interestingly, smaller glaciers (< 5 km2) with lower altitude snout and higher slope have registered more significant area loss and higher retreat rate. Alongside topographic parameters, the significant deglaciation and fragmentation observed in the basin are augmented by the increase in winter-time temperature (0.03 °C/year) between 1968 and 2020.
A Pavement Crack Image Analysis Approach Based on Automatic Image Dodging

Image based crack detection technique is the current main method for pavement crack disease detection.In order to improve the reliability of the pavement crack recognition from image based pavement crack detection system under different illumination conditions,a pavement crack image analysis approach based on the image dodging was proposed.First,the problems of the current image based pavement crack detection system with planar array CCD camera were discussed.An automatic image dodging technique was presented to obtain the consistency input for image processing under different illumination conditions.Second,a fast image dodging algorithm based on automatic electric printer principle was designed and a practical intelligent pavement crack image processing strategy was proposed together with the pavement crack image processing flowchart.Finally,pavement crack image processing experiments for a set of images obtained by planar array CCD camera were implemented and analyzed with the presented approach to verify the reasonability and practicability of automatic image dodging based pavement crack recognition.
Effect of Temperature on Oil–Water Separations Using Membranes in Horizontal Separators

The effect of temperature on oil–water separations is studied in this paper, focusing on the changed penetration velocities of water droplets on the separation membrane in a horizontal separator. A compact numerical scheme is developed based on the phase-field model, and the temperature effect is first theoretically analyzed regarding the key thermodynamic properties that may affect the separation performance. The computational scenario is designed based on practical horizontal separators in the oil field, and the droplet motions in the oil–water two-phase flow are simulated using our scheme under various operation conditions. It was found that a higher temperature may result in a faster penetration of the water droplets, and a larger density difference in the oil–water system is also preferred to accelerate the separation using membranes. Furthermore, increasing the operation temperature is proved to benefit the separation of water and heavy oil.
The impact of self-lacing technology on foot containment during dynamic cutting

Abstract The sport of basketball requires repeated dynamic side-to-side movements that can cause foot sliding and place excessive stress on the athlete. Footwear that provides containment to reduce the motion of the foot relative to the shoe may have performance and injury prevention advantages. Foot containment can vary significantly across different types of footwear due to its dependence on the interaction between the shoe lacing system of the upper and specific design features within the shoe. This study used high-speed stereo radiography to assess the impact of a self-lacing system with three conditions of increasing lace tension compared to a control basketball shoe on foot containment by measuring foot–shoe motion during cutting and jab step activities. Twenty healthy athletes performed dynamic cutting activities in view of a unique stereo radiography system positioned to measure motion of specific foot bones while motion capture and perception data were also collected. By tracking bead positions on the foot and shoe, relative motion of the foot inside the shoe was measured along shoe planes during activity. The self-lacing system showed statistically significant reductions in foot–shoe motion of as much as 75.2% while performing dynamic basketball cuts. Controlling tension with the lacing system provides athletes flexibility in containment to go from a loose fit to a tight fit and reduce in-shoe motion by up to 39.3%. Furthermore, perception data showed athletes had 20.1% greater confidence to perform cutting tasks with increases in lace tension. Reduction of in-shoe foot motion with a self-lacing system is an important consideration in the design of footwear for performance athletes.