Miracle-dz/UniFAR-FTUs huggingface dataset:
Italian Middle Byzantine Churches: A Comparison Through Masonry Quality Analysis

ABSTRACT The work focuses on the structural properties of two Byzantine churches built during the 11th century in Torcello (Venice Laguna) and Stilo (east coast of Calabria). Despite the large distance between the two religious buildings and deep differences in the building typology, some common features are detectable, recalling the construction solutions of the Byzantine structures. Both churches, well known from an historical and artistic point of view, represent two important examples of the Byzantine period. The authors, involved in a vulnerability analysis of these buildings, had the opportunity to investigate some structural characteristics of the masonry walls through non-destructive tests (NDT). The results of the experimental campaign are presented here in order to contribute to the knowledge of Byzantine constructive systems.
Limitations of Imitation: Lessons from another Bitcoin Copycat

We find strong evidence that imitation to the leader in an uncertain environment provides short-term early success without enhancing long-term survival. Using a unique setting in cryptocurrencies where Bitcoin has been the centre focus, we define copycats as cryptocurrencies that have a name similar to Bitcoin. Our results show copycats earn higher returns in the first four weeks of trading but have a lower survival rate comparing to non-copycats and are robust to an alternative definition of copycat and an instrumental variable. Our results highlight that in an age of information, coupled with an uncertain market created by a novel technology, the name of an organization may be a strong a signal to investors when other signals are unclear.
An integrated methodology for supporting the development and the performance evaluation of academic spin-offs

Purpose This paper aims to propose an integrated methodology for evaluating academic spin-offs (ASOs) for supporting both the development phase and performance evaluation. The ASOs have peculiar characteristics compared to other start-up companies and the debate on their evaluation is still open. Design/methodology/approach The proposed methodology, adopting a lean approach, faces the typical problems that characterize the growth of an ASO: the excessive attention to the technological aspects with respect to the commercial and managerial ones; and the need for evaluation systems that try to evaluate all risk areas and to highlight any misalignment. The methodology was built also starting from the results of an Erasmus + research project, co-funded by the European Commission, called spin-off lean acceleration. Findings The methodology proposes to monitor the main risk areas (market, technological, implementation, governance and financial). For each of these areas, at first, a framework and a checklist are proposed for supporting the qualitative assessment of the potential of each areas. In the second part, a set of metrics for monitoring the performances and to understand if the spinoff is developing in the right direction is proposed. Moreover, the methodology was applied to the spin-offs at the University of Calabria (Italy), and the paper reports the first results obtained. Originality/value A new canvas model (lean acceleration canvas), more specific and suited to the context of ASOs, was developed and tested. A lean approach has been adopted also for understanding the weakness of traditional methods. The proposed methodology could be used by the technology transfer offices in their institutional activity of supporting ASOs.
Efficacy of Valganciclovir Versus Ganciclovir in Treatment of Symptomatic Cytomegalovirus Infection in Infants: An Open- Labeled Randomized Controlled Trial

Kanij Fatema Department of Paediatric Neurology, Institute of Pediatric Neurodisorder and Autism (IPNA), Bangabandhu Sheikh Mujib Medical University Md Mizanur Rahman Department of Paediatric Neurology, Institute of Pediatric Neurodisorder and Autism (IPNA), Bangabandhu Sheikh Mujib Medical University Shaheen Akhtar Department of Paediatric Neurology, Institute of Pediatric Neurodisorder and Autism (IPNA), Bangabandhu Sheikh Mujib Medical University Jannatara Shefa Institute of Paediatric Neurodisorder &amp; Autism (IPNA), Bangabandhu Sheikh Mujib Medical University (BSMMU)
SIMULTANEOUS QUANTIFICATION OF PENTAZOCINE AND NALOXONE BY STABILITY INDICATING REVERSE-PHASE-HIGH-PERFORMANCE LIQUID CHROMATOGRAPHIC METHOD

Objective: The objective of the study was to develope a stability indicating high-performance liquid chromatographic (HPLC) method for simultaneous assay of pentazocine and naloxone in bulk and tablets. Methods: Pentazocine and naloxone were analyzed on Dionex C18 column using 0.1M K2HPO4 buffer (pH 4.0) and methanol (60:40, v/v) as the mobile phase. The concentration of pentazocine and naloxone was quantified by photodiode array detector set at 248 nm. The method was validated in compliance with ICH rules. Pentazocine and naloxone tablet formulation was subjected to forced degradation such as acid, neutral and alkali hydrolysis, oxidation, photo, and thermal degradation. Results: The method was linear, with R2=0.9999 in the concentration range 100–300 μg/ml for pentazocine and R2=0.9995 in the concentration range 1–3 μg/ml for naloxone. The level of detection and quantification was 0.097 μg/ml and 0.322 μg/ml for pentazocine and 0.0073 μg/ml and 0.0243 μg/ml for naloxone, respectively. The degraded products are resolved well from pentazocine and naloxone with significantly different retention time values. From validation results, it was proved that the method is selective, precise, robust, and accurate for the estimation of pentazocine and naloxone simultaneously. Conclusion: The developed stability-indicating HPLC method can be applied for quantitative determination of pentazocine and naloxone in tablets.
Optimal Real-Time Energy Management in Apartment Building Integrating Microgrid With Multizone HVAC Control

Today, distribution systems are presently transforming from a demand-driven to an active asset-driven activity, portrayed by expanding measures of decentralized generation units and an increasing participation of end users in demand response programs. The role of residential buildings will change to an active player in the power grid, either by integrating distributed energy resources onsite and even by an active orchestration of local demand. This article presents an effective approach for the modeling and optimization of a multiunit residential or multiple dwelling units building, integrating a local shared renewable power generation, energy storage system, and electric vehicles. We aim to support the decision-making in the context of energy consumption for a multiunit building through developing a model predictive control able to effectively control the heating, ventilation, and air conditioning system in each apartment of the building in order to reduce the electric bill of the building and improve the matching performance between the local generation and consumption. The problem is solved for a multiunit apartments building in the Montreal area. The results show the efficiency of proposed method.
An Integrated Biostatistical Approach To Reveal The Health Status Among Elderly People At Receiving Home Care

This paper examines the factors influencing the health status among the elderly at Rumah Seri Kenangan (RSK), Pengkalan Chepa, Kelantan and RSK Bedong, Kedah. Correlation Analysis (CA), Decision Tree Analysis (DTA), Multilayer Perceptron (MLP), and Principal Component Analysis (PCA) were used to determine the factor that might be associated with the health among the elderlies in both RSK. Through these methodologies, the health status factor will be assessed and validate simultaneously. Results from these analyses will be used as a benchmark for the decision making especially among the decision-maker to improve the level of quality which given to the elderly. The utmost finding from this study, it provides very useful information to the health caregiver for future management action plan and to improve the existing management system of an elderly.
The Impact of Energy Sector on Overshooting of Agricultural Prices

The Federal Reserve shifted monetary policy from early 2016 by gradually increasing nominal interest rates until very recently (July 2019). A decline in commodity prices is expected in response to a contractionary policy. According to the overshooting hypothesis, agricultural prices could decrease more than their long‐run equilibrium levels (i.e., overshoot) in the short run. This research contributes to the overshooting literature by including the energy sector in the overshooting model. The theoretical results show that flexible energy prices share the burden of the shock with other flexible prices and, thus, agricultural prices and the exchange rate overshoot but less than the results of prior studies. The empirical results confirm the theoretical expectation that agricultural commodities adjust faster than manufacturing prices, but energy prices reduce the extent to which agricultural prices overshoot. This adjustment behavior has implications for income stability and financial viability of farmers.
Is ‘oil and gas’ industry of ASEAN5 countries integrated with the US counterpart?

ABSTRACT This paper employs the VARMA-MGARCH-ABEKK model and Granger causality on 15 years’ daily time series data to examine investment opportunities in the oil and gas industries for ASEAN5 countries relative to the US counterpart. It shows that the latter leads the former in decomposing integration into cross-country effects on returns and conditional return volatilities. The empirical results show that investors can gain an international intra-industry diversification benefit in Malaysia, the Philippines, Singapore and Vietnam by holding US oil and gas assets in their portfolios whereas Asian oil and gas assets may result in negative shocks due to the increase in return volatilities for Malaysia, Singapore and Vietnam. However, Thailand are insensitive to the cross-country intra-industry diversification. While making trading decisions, investors should be aware of the impulse responses of ASEAN oil and gas markets from the shocks in the US and the Asian markets and their asymmetric spill over effects.
Modelling the reproductive power function

ABSTRACT This paper discusses methods of estimating the reproductive power and the accompanying survival function of communicable events, e.g. infectious disease transmission. The early stage of an outbreak can be described by the infectiousness of the outbreak process, but in later stages of the outbreak, this is complicated by factors such as changing contact patterns and the impact of control measures. It is important to take these factors into account in order to get a good, if approximate, model for an outbreak process. This paper proposes a non-homogeneous birth process and regression model for the reproductive power function, similar to models in discrete survival analysis. A baseline reproductive power function gives a description of the outbreak when covariates are at their baseline values. As an illustration these methods are applied to an avian influenza (H5N1) outbreak among poultry in Thailand.
Multi-responsive shape memory polymer printed by fused deposition modeling technique

With the help of three-dimensional (3D) printing technique, complicated and sophisticated structured shape memory polymers (SMPs) devices could be obtained, which have drawn tremendous attention in recent years. However, there is technical limitation for 3D photo-polymerization printing technique to prepare multi-responsive SMP devices. A major prob-lem for this is that functional fillers added to the photo-curing resins disturb or even inhibit their photo polymerization process. Herein, we demonstrated that the fused deposition modeling (FDM) technology seems more promising for fabrication of multi-responsive SMP devices. In this research, SMP devices are printed using a new material, polycyclooctene (PCO), whose application in FDM printing is never reported in the previous work. A universal and facile method, gamma-ray irradiation, is used to realize the crosslinking of printed structures. The printing quality and thermo-responsive speed of SMPs can be improved by incorporation of highly thermal conductive fillers (hexagonal boron nitride, BN) to PCO; in addition, after the addition of multiwalled carbon nanotubes (MWCNTs), the 3D SMP devices obtained multi-responsive ability owing to the enhanced electrical conduction and light absorption of the composite materials.
Kinetic Fabric Samples as a New Approach to Interactive Fashion Arts

As technology is integrated into all aspects of our lives, researchers are working to explore emerging technologies—such as the creation of functional apparel—in the field of fashion design. The substantial growth in the field of functional apparel design—such as the use of smart textiles—encourages researchers and fashion designers to incorporate technology within their designs. Literature shows that the field of interactive fashion design is new and requires interdisciplinary knowledge such as electrical engineering and computer science to be successful. Therefore, we created ready-to-use kinetic fabric samples for designers, to assess how convenient it could be for designers to implement emerging technologies into their designs. We explored this research gap through two preliminary user studies with seven experienced designers. The information gathered from this study could be used to identify design guidelines for kinetic fabric samples that would assist designers incorporating technology in their design.
Shark fisheries and trade characteristic in North Maluku, Indonesia

The waters of North Maluku Province are known as a hotspot for sharks in Indonesia. However, despite the richness and importance of shark population in this area, information about shark fisheries and trade remains limited. The aim of this research was to fill this knowledge gap by identifying the characteristics of shark fisheries and trade in this region. We conducted interviews and field observations during August 2017 in two case study regencies: South Halmahera and Morotai. The result show that targeted shark fishing is practiced in Mano village, Gomumu Island, South Halmahera and Posi-posi and Leo-leo Villages of Rao Island, Morotai Island. Mano village’s fishery consists of 48 vessels, with the main fishing grounds in Halmahera and Papua waters. Posi-Posi and Leo-Leo Villages operate a fleet of 12 vessels, within the main fishing ground in northern Morotai waters. We identified two traders of shark products in Morotai Island Regency, and seven traders in South Halmahera Regency. The primary traded commodities are shark fins and meat, predominantly. Fins are transported by boat to traders in Manado, Surabaya, Bau-Bau and Makassar, while meat is sold on to traders in Jakarta. We expect that the results of this research can be used to direct attention and resources towards managing shark fisheries and trade in North Maluku Province in the future.
Combination of Ecological Engineering Procedures Applied to Morphological Stabilization of Estuarine Banks after Dredging

Gravel extraction and upstream damming caused profound effects on the estuary of the Lima river (NW Portugal) which was reflected by the collapse of banks, leading further to the destruction of riparian vegetation. This led to consequences such as a progressive negative impact on the preservation of salt marshes over several decades of this protected area, which continued even after the cessation of extraction activities. In this work, we present a restoration project combining civil engineering with soft soil engineering procedures and revegetation, along with two distinct segments, and follow the recovery process. The main intention of the study is to promote hydraulic roughness in order to dissipate energy from peak flows and tides, increasing accretion and indirectly the stimulation of plant succession and salt marsh recovery. We are able to observe that the built structures (an interconnected system of groynes, deflectors and rip-rap/gabion mattress) allowed the erosion process to be detained. However, they did not allow as much sediment as expected to be trapped. The colonization of species (plants) in brackish and tidal water was a difficulty posed by this project. A more extensive restoration of all estuarine areas and river mouths, namely to overcome the sediment deficit, will require proper land-use management at the catchment scale instead of local actions.
A solar optical hyperspectral library of rare earth-bearing minerals, rare earth oxides, copper-bearing minerals and Apliki mine surface samples

Abstract. Mineral resource exploration and mining is an essential part of today’s high-tech industry. Elements such as rare earth elements (REE) and copper are, therefore, in high demand. Modern exploration techniques from multiple platforms (e.g. space- and airborne), to detect and map the spectral characteristics of the materials of interest, require spectral libraries as an essential reference. They include field and laboratory spectral information in combination with geochemical analyses for validation. Here, we present an extensive collection of REE- and copper-related hyperspectral spectra with associated geochemical information. The libraries contain spectra from rare earth element oxides, REE-bearing minerals, copper-bearing minerals and mine surface samples from the Apliki copper-gold-pyrite-mine in the Republic of Cyprus. The samples were measured with the HySpex imaging spectrometers in the visible near infra-red (VNIR) and short wave infra-red (SWIR) range (400–2500 nm). The geochemical validation of each sample is provided with the spectra. The spectral library is openly available to assist future mineral mapping campaigns and laboratory spectroscopic analyses. The spectral libraries and corresponding geochemistry are published via GFZ Data Services with the following DOIs: https://doi.org/10.5880/GFZ.1. 4.2019. 004 (REE elements, Koerting et al., 2019a), https://doi.org/10.5880/GFZ.1. 4.2019. 003 (Copper bearing minerals. Koellner et al., 2019), and https://doi.org/10.5880/GFZ.1. 4.2019. 005 (copper bearing minerals from the Apliki copper-gold-pyrite mine in Cyprus, Koerting et al., 2019b).
Skins cancer identification system of HAMl0000 skin cancer dataset using convolutional neural network

Cancer disease was one of the significant health problems in the world that cause deaths. Skin cancer is a type of cancer caused by damaged DNA and the body cannot recover the damage. This makes the cells begin to grow and divide uncontrollably. Skin cancer in Indonesia was ranks third after breast and neck cancer. Cases of skin cancer reach 5.9-7.8% of all types of cancer every year. This disease could be identified using the dermatoscopic image. Through those images, doctor decided the skin condition based on the characteristics that exist. Decision making in determining the skin condition depends on the ability and knowledge of the doctor. Therefore, a skin cancer identification system is needed to help make decisions in identifying skin cancer. Convolutional neural network (CNN) was used in this identification system because it can be detecting image and pattern. CNN work through three stages, that is convolutional layer, pooling layer, and fully-connected layer. This identification system is based on the dermoscopy image of HAM10000 skin cancer dataset. Based on this research, the accuracy of training and testing of skins cancer identification system are 80% and 78%. Cancer disease was one of the significant health problems in the world that cause deaths. Skin cancer is a type of cancer caused by damaged DNA and the body cannot recover the damage. This makes the cells begin to grow and divide uncontrollably. Skin cancer in Indonesia was ranks third after breast and neck cancer. Cases of skin cancer reach 5.9-7.8% of all types of cancer every year. This disease could be identified using the dermatoscopic image. Through those images, doctor decided the skin condition based on the characteristics that exist. Decision making in determining the skin condition depends on the ability and knowledge of the doctor. Therefore, a skin cancer identification system is needed to help make decisions in identifying skin cancer. Convolutional neural network (CNN) was used in this identification system because it can be detecting image and pattern. CNN work through three stages, that is convolutional layer, pooling layer, and fully-connected layer. This identification system is based on.
Biofilm-Producing Ability and Antibiotic Resistance Pattern of Pathogenic Strains of Aeromonas hydrophila

Background: Interconnection among bacteria and other infectious agents can transfer the genetic elements such as antibiotic resistance genes. Biofilm or such an established structure could worsen when pathogenic bacteria are in the community. The recognition of bacterial behaviors and characteristics in biofilm community or planktonic forms such as antibiotic resistance spreading is an important and essential matter. Objectives: The current study aimed at investigating the correlation between biofilm-producing ability and antibiotic resistance patterns in some pathogenic strains of Aeromonas hydrophila. Methods: In this study, 19 strains of A. hydrophila isolated from infected carps with septicemia were identified by culture and biochemical tests. The isolated strains suspected as A. hydrophila were confirmed by duplex-PCR at both genus and species levels. The biofilm-producing ability of the confirmed isolates was evaluated by the microtiter plate crystal violet method. Antibiogram was designed for isolates by the Kirby-Bauer disc diffusion method. Results: All the strains were positive for biofilm production ability. Moderate and strong biofilm-producing abilities were detected in 79% and 21% of the isolates, respectively. The majority of the strains (90%) were resistant to clindamycin and vancomycin and all the strains (100%) were susceptible to ciprofloxacin and trimethoprim-sulfamethoxazole. Conclusions: Strong biofilm-producing strains were resistant to 75% of the studied antibiotics but moderate biofilm-producing strains had different susceptibility rates to the studied antibiotics. An important correlation was detected between the biofilm-producing level (moderate and strong) and antibiotic resistance against tetracycline, oxytetracycline, and amoxicillin. Because of the different ways of resistance acquisition in biofilm-producing bacteria, more studies are needed for understanding the main route.
Double-edged effects of ethical leadership in the development of Greater China salespeople's emotional exhaustion and long-term customer relationships

The purpose of this paper is to present how ethical leadership has a double-edged effect to influence emotional exhaustion and long-term customer relationship developments of employees in a sales management context through a latent growth model (LGM). ,To test the LGM, data were collected by surveying 407 salespeople of a retail travel agency with 814 customers in Greater China at multiple points over an eight-month period. ,This study found that, as salespeople perceived more ethical leadership at Time 1, they were more likely to show increases in the work engagement development that increased the service performance development and increased the work–family conflict development over time. In addition, increases in service performance development influenced increases in customer relationship development and increases in work–family conflict development also influenced the emotional exhaustion development. ,These findings help managers understand that enabling salespeople to use their full capabilities to their work by ethical leadership may bring not only high service performance but also negative factors that erode salespeople’s well-being.