Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy efficiency of consumption – methods of analysis and evaluation.

doi: 10.15159/jas.19. 13 ABSTRACT. Technical, economic, and social need to define and control the efficiency of energy usage – consumer energy efficiency implies the necessity to determine the exact contents of this new concept. A deeper analysis of a consumer energy system in order to support the consumer energy efficiency value appropriate for the contents should be carried out to find the factors that affect the value. This article shows that for the purposes of advanced energy consumption analysis, the consumer energy system becomes an integral part of the whole energy system (starting with the energy generation facility) which forms the demand for the produced energy and its usage efficiency. The consumer energy system is so important that in the course of developing and improving the electric supply and consumption systems, it questions the traditional priority of the first component (energy supply) and adaptive dependence of the second one. This article proves, inter alia, that manufacturers can raise their consumer energy efficiency by improving the production technology, using materials with new properties, modernizing the energy equipment, switching to automatic enterprise design systems and using other means commonly known as scientific and technical progress.
MALE PERCEPTION OF SEXUAL ACTIVITY IN THE GESTATIONAL PERIOD Percepção masculina sobre atividade sexual no período gestacional Percepción masculina sobre la actividad sexual en el período gestacional

Objective: To describe men’s perception of the sexual activity during the gestational period, in the context of the daily life experienced with their pregnant partners. Methods: This is a descriptive study with a qualitative approach. The study included 10 spouses of pregnant women attended to at Basic Health Units in the city of Juazeiro do Norte, Ceará, Brazil. Data was collected between September and October 2015, through a semi-structured interview and evaluated through the systematic technique of content analysis, and analyzed in light of the pertinent literature. Results: The majority of interviewees belonged to the age group between 24 and 29 years, attended high school and were married. For the study participants, when it comes to sexuality, some understand it as something beyond sexual intercourse, whereas, for others, sexuality is related only to intercourse. As for sexual activity, changes were identified as a result of pregnancy, although, for some, the practice remained unchanged. Myths associated with the hypothesis of sex being harmful to gestation were discarded. Conclusion: Sexual activity may undergo changes deriving from gestation, which depend, in addition to the biological changes resulting from the gestational period, on symbologies and social constructs that dictate values and norms regarding the maintenance or not of the sexual intercourse during pregnancy. Descriptors: Sexuality; Pregnancy; Men’s Health.
Calibration and Characterization of a Reduced Form-Factor High Accuracy Three-Axis Teslameter

A new reduced form-factor three axes digital teslameter, based on the spinning current technique, has been developed. This instrument will be used to characterize the SwissFEL insertion devices at the Paul Scherrer Institute (PSI) for the ATHOS soft X-ray beamline. A detailed and standardized calibration procedure is critical to optimize the performance of this precision instrument. This paper presents the measurement techniques used for the corrective improvements implemented through non-linearity, temperature offset, temperature sensitivity compensation of the Hall probe and electronics temperature compensation. A detailed quantitative analysis of the reduction in errors on the application of each step of the calibration is presented. The percentage peak error reduction attained through calibration of the instrument for reference fields in the range of ±2 T is registered to drop from 1.94% down to 0.02%.
Investigating the Applications and Privacy Issues of Crowd Sensing

Crowd sensing has the potential to empower urban citizens in the current trend of “Smart City” research and development. In compliment to top-down initiatives tackling infrastructure and resource issues, crowd sensing can support a bottom-up movement where urban citizens have the potential to impact and drive change. However, there are many social and practical issues that must be addressed particularly around the applications and privacy issues of crowd sensing. The SenCity workshop [1] explored these issues through praxis, moving out of the classroom and into the city to get first-hand experience. We present the results of the workshop investigations including implications for future crowd sensing initiatives.
Insulin Resistance, Visceral Adiposity Index and TyG Index in Genotype-4 Chronic HCV Patients and Their Relation to Hepatic Histopathology

Introduction: Hepatitis C virus (HCV) genotype 4 is the most prevalent in Egypt. Vis-ceral adiposity index (VAI) and (TyG) index are newly developed indices for assess-ment of metabolic syndrome (MS) and insulin resistance (IR). We aimed at comparing their levels in HCV-patients with healthy controls and validate their use for prediction of hepatic histopathological changes. Patient and Methods: 78 chronic HCV-infected patients proven by PCR, viral genotyping and hepatic histopathology, and 67 healthy controls were enrolled. Presence of MS, Homeostasis Model Assessment for IR esti-mation (HOMA-IR), TyG index, and VAI were assessed. Results: HOMA-IR, TyG and frequency of MS were significantly higher in patients’ group (p < 0.0001 for each) in comparison to controls. In HCV patients, increased fasting blood glucose (FBG) was the only strong predictor of severe hepatic necro-inflammation. High FBG, older age, female sex, high AST, TyG, VAI, serum lipids abnormalities and presence of MS were all associated with severe fibrosis on univariate regression analysis. Only high AST, TyG, VAI and LDL were independent predictors of severe fibrosis. A model using the 4 parameters showed a strong validity in predicting advanced hepatic fibrosis (AUC 0.801; CI: 0.705 - 0.897, p < 0001). Female sex, high BMI, VAI, LDL and TG values are all significantly associated with moderate/severe steatosis on univariate analysis. Among them, high BMI and LDL are the strong predictors (AUC 0.738; CI 0.625 - 0.851, p = 0.002). Conclusion: HCV genotype 4 is significantly associated with MS and increased values of HOMA IR and TyG index. TyG index and VAI are valuable simple indices that could predict the histopathological changes in Egyptian CHC pa-tients.
Thailand as a Tourist Destination for Nightlife: Comparison of Asian and Western Tourists’ Attitudes

Thailand as a Tourist Destination for Nightlife: Comparison of Asian and Western Tourists’ Attitudes * Corresponding Author e-mail: kunnu_ben@hotmail.com Introduction Tourism is one of the largest industries in the world, and is very important to the Thai economy. The most recent figures indicate Thailand recorded 38.27 million foreign visitors in 2018, with revenue overwhelming expectations and expected to reach 41 million in 2019 (the Tourism Authority of Thailand, 2019). Also, the Tourism Authority of Thailand (2019) reveals that the tourist industry earned 2.01 trillion Baths in 2018, an increase of 10 percent from 2017. The Tourism Authority of Thailand’s estimation on foreign and domestic tourists showed tourism revenue for all of
THE EFFECTS OF NANOPATTERN SURFACE TECHNOLOGY ON ORTHOPAEDIC JOINT REPLACEMENT INFECTION

The most common bacteria in orthopaedic prosthetic infections are Staphylococcus, namely Staphylococcus Epidermidis (SE) and Staphylococcus Aureus (SA). Infection causes implant failure due to biofilm production. Biofilms are produced by bacteria once they have adhered to a surface. Nanotopography has major effects on cell behaviour. Our research focuses on bacterial adhesion and biofilm formation on nanofabricated materials. Bacteria studied were clinically relevant from an orthopaedic perspective, SA and SE. We hypothesise that that nanosurfaces can modulate bacterial adherence and biofilm formation and may reduce orthopaedic implant infection rate. Isolated bacteria were grown and growth conditions optimised. Bacterial concentrations were calculated by using qPCR. Statistical analysis allowed identification of optimal biofilm growth conditions. These were refined on standard, non-nanopatterned surfaces, and then control and nanopatterned polystyrene (nanopits) and titanium plates (nanowires). Adhesion analysis was performed using fluorescence imaging and quantitative PCR. 4 bacterial strains were isolated and cultured. Growth kinetics based on 24hr cultures allowed isolation of optimal media for biofilm conditions (Dulbecco9s Modified Eagle Medium with additional supplements). Highest bacterial concentrations were found following 2hrs incubation with Lysozyme during qPCR. Bacterial concentration significantly increased between 30, 60 and 90 minutes incubation. Differences in percentage coverage on different polysyrene nanosurfaces (nanopits) were noted varying. This was confirmed by qPCR extractions that showed different bacterial concentrations on different nanopatterns. Titanium nanowire surfaces significantly increased bacterial adhesion (P Our study cultured and quantified bacterial biofilm and suggests that by altering nanotopography, bacterial adhesion and therefore biofilm formation can be affected. Specific nanopatterned surfaces may reduce implant infection associated morbidity and mortality. Clearly this is of significant benefit to the patient, the surgeon and the NHS, and may well extend far beyond the realms of orthopaedics.
Lizard Inspired Tail for Dynamic Stabilization of Robotic Body

ii Table of Figures . v 1.0 Introduction . 1 2.0 Methodology . 2 3.0 Literature Review. 3 3.1 Lizard Physiology and Tail Control . 3 3.2 Tailbot Robotic Tail . 6 3.4 Articulated Robotic Limbs . 9 3.4.1 Festo Bionic Handling Assistant . 10 3.6 Summary . 12 4.0 Lizard Inspired articulated design synthesis . 13 4.1 Assumptions and System Limitations . 13 4.2 Control System for MDOF Manipulation . 13 4.2. 1 Serial Manipulator . 14 4.2. 2 Actuation Control. 15 4.2. 3 Implemented Design: Modified Actuation Control . 15 4.3 Mass Distribution . 16 4.4 Ligament Equivalent for Segment Connections . 16 4.4.1 Tension Springs . 18 4.4.2 Compression Springs . 18 4.4.3 Flexible Rods . 18 4.4.4 Implemented Ligament Connection . 19 4.5 Segment Design . 19 4.6 Summary . 20 5.0 Modeling and Simulation . 21 5.1 Vibration Analysis . 21
Kuball, M. H. H., & Pomeroy, J. W. (2016). A Review of Raman Thermography for Electronic and Opto-Electronic Device Measurement With Submicron Spatial and Nanosecond Temporal Resolution. IEEE Transactions on Device and Materials Reliability, 16(4), 667-684. DOI: 10.1109/TDMR.2016.2617458

We review the Raman thermography technique, which has been developed to determine the temperature in and around the active area of semiconductor devices with submicron spatial and nanosecond temporal resolution. This is critical for the qualification of device technology, including for accelerated lifetime reliability testing and device design optimization. Its practical use is illustrated for GaN and GaAs based high electron mobility transistors, and opto-electronic devices. We also discuss how Raman thermography is used to validate device thermal models, as well as determining the thermal conductivity of materials relevant for electronic and opto-electronic devices.
Springer MRW: [AU:, IDX:]

One of the most conspicuous ecological patterns in ants, especially in tropical regions, is their vertical stratification into distinct arboreal, ground-surface, and subterranean assemblages. The latter are perhaps the least well studied, regarded by some as a frontier in the study of ant diversity [18]. Subterranean ant assemblages harbor a diversity of species with distinct ecologies, including several groups (e.g., Amblyoponinae, Leptaniliane, Martialinae, Proceratiinae) that are evolutionarily distinct from the 90% of species in the formicoid complex [21] and which are important for understanding the early evolution and diversification of ants after the Cretaceous period [10]. Nonetheless, such formicoid taxa as Acropyga (Formicinae), Carebara (Myrmicinae), and Solenopsis (Myrmicinae) are also well represented among subterranean ants with many hypogaeic species (Fig. 1). Studies on subterranean ants have been restricted to relatively few geographic regions and habitats, a result of longstanding challenges associated with collecting and observing these organisms in the field [23]. Only Some Ants in the Subterranean Environment Are Hypogaeic
An Architecture for Task and Traffic Offloading in Edge Computing via Deep Learning

The diffusion of smart mobile devices and the development of Internet of Things (IoT) has brought computational power in everyone’s pocket, allowing people to perform simple tasks with their smartphones. There are some tasks, however, that are computationally expensive and therefore cannot be performed on a mobile device (e.g., a fleet of drones capturing multi-layered images to be processed with machine learning operations such as plate or face recognition); for these delay-sensitive applications, computation offloading represents a valid solution. Computation offloading is the process of delegating computationally expensive tasks to servers located at the edge of the network; offloading is useful to minimize response time or energy consumption, crucial constraints in mobile and IoT devices. Offloading such tasks to the cloud is ineffective since cloud infrastructure servers are too distant from from the IoT devices. One of the fundamental mechanisms to reduce latency via edge computing is to choose a proper path to the destination; commonly used shortest path algorithms are performance (and so latency) agnostic: they ignore network conditions. One of the hypothesis that we validate in this work is that cooperative routing-based methods can steer (i.e. route or forward), edge traffic with (statistically) lower end-to-end delays than reaction-based methods, such as load balancers (1). To forecast path metrics, we use machine learning techniques, which in the last few years have affected the way software is made (2). In particular, in this project, we present an architecture for edge offloading orchestration: the architecture design is modular so that the offloading policies could be easily plugged into the system. One effective path prediction policy for the offloading mechanisms that we have implemented is Long Short Term Memory (LSTM), a deep learning approach. Our evaluation shows that our method performs better than the traditional routing policies in terms of throughput.
A Study on Nomophobia - Mobile Phone Dependence, Among Students of a Medical College in Bangalore -

Background: Smart phones today have become an important part of our techno-culture, especially among the younger population. Discomfort, anxiety, nervousness or anguish caused by being out of contact with a mobile phone is termed as "Nomophobia"- no mobile phobia. Nomophobia is on the rise across the globe. Objectives: To assess the prevalence of Nomophobia and mobile phone dependence among the students of a medical college. Material and Methods: A cross-sectional study was carried out in 200 students of a medical college in Bangalore. A pre-designed and pre-tested questionnaire was used to get information. Data analyzed by using Statistical Package of Social Sciences (SPSS) 17.0. Results: The study population of 200 students comprised of 47.5% females and 52.5% males. Majority (74%) of the students spent Rupees 300-500 per month on mobile recharge. About 23% students felt they lose concentration and become stressed when they do not have their mobile around, 79(39.5%) students were Nomopobic in this study and another 27% were at risk of developing Nomophobia. Conclusion: The result of our study is indicative of increasing prevalence of Nomophobia among younger generation. Further research and multi-centric studies are required to investi¬gate more in depth the psychological aspects and solutions for nomophobia.
TRRM_A_188021 47..58

Nephrology Division and Transplant Center, Massachusetts General Hospital, Boston, MA, USA Abstract: Since its discovery in 1971, BK Polyomavirus infection has been increasingly recognized, especially since the introduction of more effective immunosuppressive medications in the early 1990s. BK virus is believed to have a high seroprevalence in healthy individuals, entering a latent phase in the genitourinary that follows the primary infection. Reactivation may occur in immunocompromised hosts, with significant effects seen especially in kidney and hematopoietic stem cell transplant recipients. Screening methods have been developed and are implemented as early detection may allow for the prevention of irreversible tissue damage. Reduction of immunosuppression remains the cornerstone of therapy for BKV infection, and adjunctive therapies have shown variable results. Newer cellular-based therapeutics might provide a more targeted treatment for BKV infection but are still in need of more randomized human studies.
A Modified Wolf Pack Algorithm for Multiconstrained Sparse Linear Array Synthesis

The aim of the research is to propose a new optimization method for the multiconstrained optimization of sparse linear arrays (including the constraints of the number of elements, the aperture of arrays, and the minimum distance between adjacent elements). The new method is a modified wolf pack optimization algorithm based on the quantum theory. In the new method, wolves are coded by Bloch spherical coordinates of quantum bits, updated by quantum revolving gates, and selectively adaptively mutated when performing poorly. Because of the three-coordinate characteristics of the sphere, the number of global optimum solutions is greatly expanded and ultimately can be searched with a higher probability. Selective mutation enhances the robustness of the algorithm and improves the search speed. Furthermore, because the size of each dimension of Bloch spherical coordinates is always [−1, 1], the variables transformed by solution space must satisfy the constraints of the aperture of arrays and the minimum distance between adjacent elements, which effectively avoids infallible solutions in the process of updating and mutating the position of the wolf group, reduces the judgment steps, and improves the efficiency of optimization. The validity and robustness of the proposed method are verified by the simulation of two typical examples, and the optimization efficiency of the proposed method is higher than the existing methods.
Exposure to the United States and Healthy Eating Among U.S. Immigrants: A Life Course Perspective on Immigrant Health

The negative acculturation perspective predicts that immigrants’ health advantages erode with increasing exposure to the U.S. due to the adoption of the unhealthy default American lifestyle. Focusing on diet, we argue that this perspective underestimates immigrants’ abilities to maintain healthy eating patterns, especially among adult immigrant arrivals, and fails to account for how migration during childhood can disrupt important developmental processes. We advance an alternative “life course perspective on immigrant health” and present evidence for it by examining the associations of age at arrival and duration of residence with healthy eating among adult immigrants. Our results suggest that earlier age at arrival is negatively associated with healthy eating and that duration of residence has a weak but positive association with healthy eating, especially among those who arrived as adults. The results call into question notions that emphasize a steady erosion of healthy eating with time and acculturation. Instead, they support the life course perspective and point to the importance of early childhood exposures for understanding how living in the U.S. influences healthy eating among immigrants.
Some Studies on Protection Signatures

The purpose of this paper is to study of access control scheme to protect users' privacy in cloud environment is of great significance. In this paper, w access control system with privilege separation based on privacy protection. In the PS-ACS scheme, we divide the users into personal domain and public domain logically. In the PSD, we set read and write access permissions for users respectivel Aggregate Encryption is exploited to implement the read access permission which improves the access efficiency. A high degree of patient privacy is guaranteed simultaneously by exploiting an Improved Attribute-based Signature which can determine users’ write access. For the users of PUD, a hierarchical attribute-based encryption is applied to avoid the issues of single point of failure and complicated
Automatic Speech Recognition Framework for Indian Languages

In this project, we worked on developing several automatic speech recognition models for Indian languages, namely Tamil, Telugu and Gujarati using the Kaldi Speech Recognition Toolkit. A HMM-GMM acoustic model in conjugation with a n-gram language model was initially built for converting speech in the above mentioned languages to text. To obtain improved Word Error Rates, a Time Delay Neural Network (TDNN) was run. A Recurrent Neural Network based Language Model (RNNLM) pipeline was then set up to improve the contextual information compared to the n-gram language model. To achieve End-To-End speech recognition, CTC (Connectionist Temporal Classiﬁcation) was used in conjugation with an Encoder-Decoder framework. A detailed ananlysis of this framework was performed to obtain best results.
Identification & Quantitative Change of Protein and its Use as a Biomarker in the Breast Cancer Patients of Central India

One of the greatest challenges faced today by clinicians in treating cancer is early diagnosis, besides having various diagnostic tools which include various blood markers based immunoassays, imaging techniques and biopsy analysis researchers are unable to provide valuable information. However, the techniques available remain effective only when the tumor frequency is greater than 1-10%. Early detection is not possible due to their insensitivity and specificity.in this studies various methods are used for detection of breast cancer are plasma separation, tissue extraction, SDS-PAGE, Native-PAGE, Ammonium Sulphate precipitation followed by electrophoresis and determination of the protein concentration by using Folin-Lowry method. Different molecular weight proteins (64KDa, 70KDa, 170KDa & 200KDa) are determined in the cancerous plasma and cell suspension by the electrophoresis. The concentration of the protein decreased in the cancerous sample as compared to the normal samples of plasma and tissue extract. These molecular weight proteins may be used for the diagnosis of the breast cancer and study extended for the purification, characterization & development of the antibody for the specific protein marker in case of breast cancer.