Miracle-dz/UniFAR-FTUs huggingface dataset:
The development of a condition survey protocol (csp) 1 matrix for visual building inspection

Building inspection is one of the key components of building maintenance. The primary purpose of performing a building inspection is to evaluate the building’s condition. Without inspection, it is difficult to determine a built asset’s current condition, so failure to inspect can contribute to the asset’s future failure. Traditionally, a longhand survey description has been widely used for property condition reports. Surveys that employ ratings instead of descriptions are gaining wide acceptance in the industry because they cater to the need for numerical analysis output. These kinds of surveys are also in keeping with the new RICS HomeBuyer Report 2009. In this paper, we propose a new assessment method, derived from the current rating systems, for assessing the building’s condition and rating the seriousness of each defect identified. These two assessment criteria are then multiplied to find the building’s score, which we called the Condition Survey Protocol (CSP) 1 Matrix. Instead of a longhand description of a building’s defects, this matrix requires concise explanations about the defects identified, thus saving on-site time during a building inspection. The full score is used to give the building an overall rating: Good, Fair or Dilapidated. Our overall findings reflect the reliability of the CSP1 Matrix.
End-to-End Sentence-Level Multi-View Lipreading Architecture with Spatial Attention Module Integrated Multiple CNNs and Cascaded Local Self-Attention-CTC

Concomitant with the recent advances in deep learning, automatic speech recognition and visual speech recognition (VSR) have received considerable attention. However, although VSR systems must identify speech from both frontal and profile faces in real-world scenarios, most VSR studies have focused solely on frontal face pictures. To address this issue, we propose an end-to-end sentence-level multi-view VSR architecture for faces captured from four different perspectives (frontal, 30°, 45°, and 60°). The encoder uses multiple convolutional neural networks with a spatial attention module to detect minor changes in the mouth patterns of similarly pronounced words, and the decoder uses cascaded local self-attention connectionist temporal classification to collect the details of local contextual information in the immediate vicinity, which results in a substantial performance boost and speedy convergence. To compare the performance of the proposed model for experiments on the OuluVS2 dataset, the dataset was divided into four different perspectives, and the obtained performance improvement was 3.31% (0°), 4.79% (30°), 5.51% (45°), 6.18% (60°), and 4.95% (mean), respectively, compared with the existing state-of-the-art performance, and the average performance improved by 9.1% compared with the baseline. Thus, the suggested design enhances the performance of multi-view VSR and boosts its usefulness in real-world applications.
An observational study of correlation of cardiac manifestations with severity of COPD.

Introduction: Various systemic manifestations and complications have been observed throughout the course of Chronic Obstructive Pulmonary Disease. Out of those manifestations one of the important manifestations is cardiac involvement. The major and well-known cardiac complications of COPD are pulmonary vascular disease and its impact on right ventricular function, higher incidence of myocardial infarction and arrhythmias. These complications correlate inversely with survival. Aim: To study cardiac manifestations in COPD patients and its correlation with severity of the disease. Methodology: This observational study was conducted in the department of medicine at a tertiary care hospital in Solapur, Maharashtra. Data of 80 patients diagnosed and their cardiac status assessed on the basis of clinical findings, radiological changes and spirometry, electrocardiography and echocardiography. All patients were analyzed for cardiac involvement based on symptomatology, ECG and 2D-ECHO results. Results: Out of 80 COPD patients 6 patients were GOLD class 1 (mild), 28 in class 2 (moderate), 36 in class 3 (severe) and 10 patients belonged to GOLD class 4 (very severe). Cardiovascular complications were found in 40 patients out of 80. Of these, pulmonary hypertension was found in 45%, IHD in 30%, cor-pulmonale in 20% and arrhythmias were found in 10% of which supraventricular arrhythmias were seen in 75% and ventricular arrhythmia in25%. Conclusion: Our study concluded that patients with mild to moderate COPD may also have cardiac complications. Due to common symptomatology, they are difficult to diagnose. Hence, it is necessary at the time of initial diagnosis to carry out ECG and 2DECHO for early detection and for better management of these patients.
Intergenerational transmission of trauma: unpacking the effects of parental adverse childhood experiences

ABSTRACT Background: Existing research documented the connection between individuals’ childhood trauma exposure and adverse health and behavioural health outcomes. However, less attention has been paid to understanding trauma in an intergenerational context. Objective: This study aims to fill this research gap by (1) exploring the association between parents’ trauma histories and child behavioural outcomes; (2) unpacking the effects of different types of parental trauma on child behavioural outcomes; (3) examining whether these associations vary by parental roles. Participants and Setting: This study recruited 202 parents from an online data collection platform – Amazon Mechanical Turk. Methods: We conducted regression analyses to examine the associations between parental adverse childhood experiences (ACEs) and their child’s behavioural problems and functioning. Results: Findings showed that only parental childhood maltreatment ACEs, but not family dysfunction ACEs, were significantly associated with child behavioural problems and functioning. The impact of parental child maltreatment ACEs on child behavioural problems was equally significant between fathers and mothers. In contrast, mothers’ childhood maltreatment ACEs exerted a more potent effect on child functioning. Conclusion: Study findings highlighted the need for child behavioural health services to incorporate the screening and treatment of parental ACEs in treatment programmes to break the cycle of intergenerational trauma.
The influence of CNC milling and ball burnishing on shaping complex 3D surfaces

Hybrid techniques for surface treatment should ensure compliance with exterior layer state and stress requirements. The more factors which influence final treatment effects, the more difficult it is to conduct a technological process combining different treatment methods. A combination of shaping milling with finishing burnishing can provide very good smoothness and satisfactory stress conditions. However, implementation of predefined geometric surface specifications (GPS) is very difficult. This article presents the results of the effect of technological parameters of both treatments combined into a single operation on surface topography. A new surface geometry evaluation approach, combining both relative and absolute changes of isotropy and surface roughness, enabling an objective efficiency comparison of machining operations combined in a single operation, is presented.
Condition Assessment for Wind Turbines with Doubly Fed Induction Generators Based on SCADA Data

This paper presents an effective approach for wind turbine (WT) condition assessment based on the data collected from wind farm supervisory control and data acquisition (SCADA) system. Three types of assessment indices are determined based on the monitoring parameters obtained from the SCADA system. Neural Networks (NNs) are used to establish prediction models for the assessment indices that are dependent on environmental conditions such as ambient temperature and wind speed. An abnormal level index (ALI) is defined to quantify the abnormal level of the proposed indices. Prediction errors of the prediction models follow a normal distribution. Thus, the ALIs can be calculated based on the probability density function of normal distribution. For other assessment indices, the ALIs are calculated by the nonparametric estimation based cumulative probability density function. A Back-Propagation NN (BPNN) algorithm is used for the overall WT condition assessment. The inputs to the BPNN are the ALIs of the proposed indices. The network structure and the number of nodes in the hidden layer are carefully chosen when the BPNN model is being trained. The condition assessment method has been used for real 1.5 MW WTs with doubly fed induction generators. Results show that the proposed assessment method could effectively predict the change of operating conditions prior to fault occurrences and provide early alarming of the developing faults of WTs.
FogBus3: A scalable and reliable framework for integrated IoT and fog computing scenario

Fog computing is an advantageous concept that works in consonance with cloud computing to enhance user experience. It presents innumerable benefits such as low latency, bandwidth saving, and location awareness. But, just being opportunistic towards the platform without checking it for security is not at all justifiable. As more and more sensitive data flows through the fog layer, it becomes mandatory to examine it for security. The fog nodes being closer to the user end are highly vulnerable to being malicious. There exists a possibility that a faulty fog node tries to tamper the data generated from the Internet of things (IoT) device layer and restrains the other functioning nodes to operate upon a common perceived value. In this regard, the authors have proposed the FogBus3 framework that guarantees reliable results from the fog level even in the presence of faulty fog nodes. The proposed framework adds a job categorization mechanism and a reliability ensuring IoT‐Fog Agreement Algorithm (IFAA) to the fog layer. The proposed framework has been thoroughly examined with the help of a working example and simulated through MATLAB R2021a. Further, the scenario has been tested before and after implementation of the proposed algorithm on the basis of execution time. Experimental results show that FogBus3's IFAA algorithm improves the execution time of the said setup by 41%. FogBus3 has also been evaluated for its scalability and is believed to ensure reliability in the said scenario.
Isatis tinctoria L. Leaf Extract Inhibits Replicative Senescence in Dermal Fibroblasts by Regulating mTOR-NF-κB-SASP Signaling

Senescent fibroblasts progressively deteriorate the functional properties of skin tissue. Senescent cells secrete senescence-associated secretory phenotype (SASP) factor, which causes the aging of surrounding non-senescent cells and accelerates aging in the individuals. Recent findings suggested the senomorphic targeting of the SASP regulation as a new generation of effective therapeutics. We investigated whether Isatis tinctoria L. leaf extract (ITE) inhibited senescence biomarkers p53, p21CDKN1A, and p16INK4A gene expression, and SASP secretions by inhibiting cellular senescence in the replicative senescent human dermal fibroblast (RS-HDF). ITE has been demonstrated to inhibit the secretion of SASP factors in several senomorphic types by regulating the MAPK/NF-κB pathway via its inhibitory effect on mTOR. ITE suppressed the inflammatory response by inhibiting mTOR, MAPK, and IκBα phosphorylation, and blocking the nuclear translocation of NF-κB. In addition, we observed that autophagy pathway was related to inhibitory effect of ITE on cellular senescence. From these results, we concluded that ITE can prevent and restore senescence by blocking the activation and secretion of senescence-related factors generated from RS-HDFs through mTOR-NF-κB regulation.
Leveraging eBPF to Make TCP Path-Aware

The Transmission Control Protocol (TCP) is one of the key Internet protocols. It is used by a broad range of applications. TCP was designed when there was typically a single path between a client and a server. Today’s networks provide higher path diversity, yet TCP still only uses the single path selected by the network layer. This limits the ability of TCP to react to events such as interdomain failures or highly congested peering links. We propose the TCP Path Changer (TPC), a set of eBPF programs that are incorporated into the Linux TCP/IP stack to make it more agile. To illustrate the benefits of our approach, we first demonstrate that TPC can quickly reroute an ongoing TCP connection around a failure. We then show that TPC can also monitor the round-trip-time of active TCP connections and automatically reroute them if it becomes too high. Our evaluation of TPC in emulated networks evidences the significant performance benefits of a path-aware transport protocol.
A Noninvasive Gas Exchange Method to Test and Model Photosynthetic Proficiency and Growth Rates of In Vitro Plant Cultures: Preliminary Implication for Cannabis sativa L.

Simple Summary The gas exchange system presented herein integrates open-flow/force ventilation, LED technology, and micropropagation to determine the impact of environmental factors (e.g., [CO2], sucrose, light intensity) on the photosynthetic capacity of cultured plantlets. This system was developed and tested on Cannabis sativa L. , an emerging crop of high economic value, for which micropropagation has become an important aspect of production. Since conventional micropropagation avenues can minimize photosynthetic performance, this system offers fresh opportunities to examine the role of light signaling and photosynthesis in micropropagation to investigate and overcome in-vitro-associated morphophysiological disorders. By maintaining [CO2] at controlled levels (400 and 1200 ppm) with calibrated light intensities, photosynthetic light response curves were prepared based on net carbon exchange rates (NCERs) to paint a picture of the dynamic, combinational influences of irradiance, [CO2], and additional factors on photosynthetic performance. Additionally, NCERs were continuously monitored during a 24 h light/dark period under standard conditions to provide estimates of relative growth rates (daily C-gain). Thus, a system is presented with the ability to answer questions about the nature of in vitro plant physiology related to carbon dynamics, that would otherwise be difficult to assess. Abstract Supplemental sugar additives for plant tissue culture cause mixotrophic growth, complicating carbohydrate metabolism and photosynthetic relationships. A unique platform to test and model the photosynthetic proficiency and biomass accumulation of micropropagated plantlets was introduced and applied to Cannabis sativa L. (cannabis), an emerging crop with high economic interest. Conventional in vitro systems can hinder the photoautotrophic ability of plantlets due to low light intensity, low vapor pressure deficit, and limited CO2 availability. Though exogenous sucrose is routinely added to improve in vitro growth despite reduced photosynthetic capacity, reliance on sugar as a carbon source can also trigger negative responses that are species-dependent. By increasing photosynthetic activity in vitro, these negative consequences can likely be mitigated, facilitating the production of superior specimens with enhanced survivability. The presented methods use an open-flow/force-ventilated gas exchange system and infrared gas analysis to measure the impact of [CO2], light, and additional factors on in vitro photosynthesis. This system can be used to answer previously overlooked questions regarding the nature of in vitro plant physiology to enhance plant tissue culture and the overall understanding of in vitro processes, facilitating new research methods and idealized protocols for commercial tissue culture.
A New Approach for a Dynamic Enterprise Architecture Model using Ontology and Case-based Reasoning

: To meet the demands of a dynamic and constantly changing environment, (DRP) Disaster Recovery Plans, (BCP) Business Continuity Plans, change management, agile activities, and best practice guides are developed with the ultimate objective of providing enterprises with the tools to deal with change rapidly and flexibly. Starting from the premise that Enterprise architecture remains the instrument ensuring this alignment Strategy//business//IT, dynamic aspects should be present in the EA representation but also should be perceived in the reaction of enterprises managing the change. On the other hand, ontologies offer a formal and a shared representation of the domain studied; EA in our case. Once formalized, the representation became computable so, all the EA reactions became dynamic towards the triggers of change. To benefit from the previous experiences, Case-based reasoning is introduced in our approach allowing a problem resolution via similarity and adaptation of knowledge to the current context.
Development of Effective Technology for Online Slope Monitoring in Opencast Mines- R&D Initiative

This paper presents overview of accidents due to ground control problems in Indian mines along with the impetus on the need of innovative applications of trans-disciplinary work for improving safety in mines, and need based industry oriented research. Recent disaster on 29.12. 2016 at about 7 pm due to slope failure at Rajmahal mines ECL, indicated the lacuna in providing sufficient information to the employees engaged near the working places about the impending danger, which would have saved few lives with effective online data/alarm to the persons engaged below the working benches/slopes at right time. Accidents due to slope instability are one of the primary causes in open pit mining operations, and unpredicted movement of the ground causes the potential to endanger lives, demolish equipment, or destroy property. Time Domain Reflectometry (TDR) is gaining widespread attention as a cost-effective method to monitor ground movements in soil and rock. It has been used successfully for many years to monitor deep-seated failures in soil deposits and for monitoring many different kinds of movements in rock
Dynamic Multi-Resource Optimization for Storage Acceleration in Cloud Storage Systems

Demand for using cloud object storage has been increasing in order to efficiently manage a large number of binary large objects (BLOBs), including videos, photos and documents. Although many companies and institutions are currently trying to utilize public cloud object storage services such as AWS Simple Storage Service (S3), most of existing encoding systems for safe storage of data have not been optimized for current cloud object storage architecture. In this article, we propose a novel dynamic extreme erasure encoding algorithm, namely DexEncoding aiming to maximize the utility of clients where the encoding locations in the cloud storage architecture are dynamically optimized between gateway and storage servers with respect to the time-varying cloud environment. Here, the utility captures the satisfaction of clients for the speed of data storage and fairness among clients. DexEncoding efficiently resolves resource bottlenecks by adapting to the dynamic network, processing and storage resource availability and storage request. Real measurement-driven simulations demonstrate that the proposed DexEncoding algorithm drastically outperforms that applied in the state-of-the-art object storage systems in a perspective of clients’ satisfaction.
Biocomputational Assessment of Natural Compounds as a Potent Inhibitor to Quorum Sensors in Ralstonia solanacearum

Ralstonia solanacearum is among the most damaging bacterial phytopathogens with a wide number of hosts and a broad geographic distribution worldwide. The pathway of phenotype conversion (Phc) is operated by quorum-sensing signals and modulated through the (R)-methyl 3-hydroxypalmitate (3-OH PAME) in R. solanacearum. However, the molecular structures of the Phc pathway components are not yet established, and the structural consequences of 3-OH PAME on quorum sensing are not well studied. In this study, 3D structures of quorum-sensing proteins of the Phc pathway (PhcA and PhcR) were computationally modeled, followed by the virtual screening of the natural compounds library against the predicted active site residues of PhcA and PhcR proteins that could be employed in limiting signaling through 3-OH PAME. Two of the best scoring common ligands ZINC000014762512 and ZINC000011865192 for PhcA and PhcR were further analyzed utilizing orbital energies such as HOMO and LUMO, followed by molecular dynamics simulations of the complexes for 100 ns to determine the ligands binding stability. The findings indicate that ZINC000014762512 and ZINC000011865192 may be capable of inhibiting both PhcA and PhcR. We believe that, after further validation, these compounds may have the potential to disrupt bacterial quorum sensing and thus control this devastating phytopathogenic bacterial pathogen.
Recent Advances in Wearable Potentiometric pH Sensors

Wearable sensors reflect the real–time physiological information and health status of individuals by continuously monitoring biochemical markers in biological fluids, including sweat, tears and saliva, and are a key technology to realize portable personalized medicine. Flexible electrochemical pH sensors can play a significant role in health since the pH level affects most biochemical reactions in the human body. pH indicators can be used for the diagnosis and treatment of diseases as well as the monitoring of biological processes. The performances and applications of wearable pH sensors depend significantly on the properties of the pH–sensitive materials used. At present, existing pH–sensitive materials are mainly based on polyaniline (PANI), hydrogen ionophores (HIs) and metal oxides (MOx). In this review, we will discuss the recent progress in wearable pH sensors based on these sensitive materials. Finally, a viewpoint for state–of–the–art wearable pH sensors and a discussion of their existing challenges are presented.
Post-transplant idiopathic non-lupus full-house nephropathy – A case report

We report a case of Idiopathic non-lupus full-house nephropathy (NLFHN) in a 39-year-old male who had a full-house pattern of immunofluorescence study without overt systemic lupus erythematosus after a follow-up of more than 2 years. The incidence of detection of cases of NLFHN is increasing in native kidney biopsy and is critical to report as they have poor clinical outcomes. To the best of our knowledge, it is the first case of post-transplant renal biopsy and needs to be reported to plan the treatment protocol for such transplant patients.
Novel Dual-Band Miniaturized Frequency Selective Surface based on Fractal Structures

Abstract A novel single-layer dual-band miniaturized frequency selective surface (FSS) based on fractal structures is proposed and analyzed in this paper. A prototype with enough dimensions is fabricated and measured in anechoic chamber, and the measured results provide good agreement with the simulated. The simulations and measurements indicate that the dual-band FSS with bandstop selectivity center at 3.95 GHz and 7.10 GHz, and the whole dimension of the proposed FSS cell is only 7×7 mm2, amount to 0. 092λ0×0. 092λ0, that λ0 is free space wavelength at first resonant frequency. In addition, the center frequencies have scarcely any changes for different polarizations and incidences. What’s more, dual-band mechanism is analyzed clearly and it provides a new way to design novel miniaturized FSS structures.