Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Investigation of Thermal Performance of Improvement a Solar Air Heater With Metallic Fiber

ABSTRACT The current research aims to study the overall performance of a solar air ‎heater ‎integrated system (SAHIs) under the Iraqi weather circumstances throughout the utilization of metallic fiber as a new method in absorbing the heat. Several experiments were conducted using a double pass triangular plate and compared with metallic fiber (SAH) as an absorber surface. These experiments were performed during February, March, and April of 2019 over the air mass flow rate range (0.0043–0.0125 kg/s) and depending upon environmental circumstances. Results evinced that the ultimate daily thermal efficiency of the solar air ‎heater was (63.77%) and (74.2%) with a triangular absorber plate and metallic fiber, correspondingly when using (0.012 kg/s) air mass flow rate and the instantaneous thermal efficiency of (SAH) increased from (30%) to (80%) and (30%) to (95%) when the air mass flow rate was increased from (0.0043 kg/s) to (0.0125 kg/s) and from (0.043 kg/s) to (0.0123 kg/s) for triangular absorber plate and metallic fiber, correspondingly. At an air mass flow rate of (0.012 kg/s), the temperature of the ultimate absorber surface and the outlet of air was (58°C) and (35°C) for triangular absorber plate, respectively and (49°C) and (44.5°C) for metallic fiber correspondingly. Also, the results demonstrated that the daily and instantaneous thermal efficiency of (SAH) with the metallic fiber was higher than that with a triangular absorber plate at the similar air mass flow rate. Additionally, the temperature discrepancy between the absorber surface and the outlet air when employing metallic fiber was less in comparison with the use of triangular absorber plate, and the temperature difference between inlet and outlet air temperature decreased when the air mass flow rate was increased. Moreover, the present study manifested a higher overall thermal efficiency than those obtained by previous studies. Abbreviations: HE: Heat exchanger; SAH: Solar Air Heater; SAHs: Solar Air Heaters; SAHIS: Solar Air ‎Heater ‎Integrated System
Implementation of a Flow Cytometry Strategy to Isolate and Assess Heterogeneous Membrane Raft Domains

Flow cytometry is an analytical technique based on the detection and quantitation of scattered light from individual cells or particles. This is achieved by channelling particles single file past a light source and collecting the scattered light with detectors and filters positioned at specific angles. This has enabled the identification of unique cellular characteristics and is widely used in the field of medical science in both clinical and research labs to study biological phenomena including apoptosis, cell cycle progression, cell surface protein heterogeneity, and calcium signaling (Brown & Wittwer, 2000, Krishan, 1975, Vermes et al., 2000). Generally, flow cytometers are optimized to study cells with 1-30 μm diameters, with investigations of smaller cells and particles only recently becoming more widely applied. This coincides with the commercial availability of flow instruments capable of detecting synthetic beads as small as 200 nm in diameter.
Core level studies of calcite and dolomite

Conventional X‐ray photoelectron spectroscopy (XPS) and synchrotron‐based X‐ray photoelectron spectroscopy (HRXPS) have been used to study Iceland spar calcite (CaCO3) and dolomite (CaMg(CO3)2). The obtained full widths at half maximum (FWHMs) are mostly narrower than in the previous results, which together with the symmetry of the fitted peaks indicate effective neutralisation of surface charging. Some previously unidentified features observed in the Ca 2p, C 1s and O 1s spectra of calcite have been suggested to be bulk plasmons. Also, surface core level shifts in Ca 2p (in calcite) and Mg 2p (in dolomite) spectra have been obtained and found to be consistent between XPS and HRXPS measurements. A peak attributed to carbide (CaC2) has been suggested to indicate beam‐assisted interaction with hydrocarbons found on the surface. Copyright © 2014 John Wiley & Sons, Ltd.
The Accuracy Validation of FireFACE Software in Analyzing Facial Expressions of Urban Forest Visitors

The construction of sustainable urban forests follows the principle that well-being in people is promoted when exposed to tree population. Facial expression is the direct representation of inner emotion that can be used to assess real-time perception in urban forests. The emergence and change of facial expressions for forest visitors are in an implicit process. The reserved character of oriental races strengthens the requirement for the accuracy to recognize expressions through instrument rating. In this study, a dataset was established with 2,886 randomly photographed faces from visitors in a constructed urban forest park and a promenade at summertime in Shenyang City at Northeast China. Six experts were invited to choose 160 photos in total with 20 images representing one of eight typical expressions as angry, contempt, disgusted, happy, neutral, sad, scared, and surprised emotions. The FireFACE ver. 3.0 software was used to test hit-ratio validation as the accuracy (ac.) to match machine-recognized photos with those identified by experts. According to Kruskal-Wallis test on the difference from averaged scores in 20 recently published papers, contempt (ac.=0.40%, P=0.0038) and scared (ac.=25.23%, P=0.0018) expressions cannot pass the validation test. Therefore, the FireFACE can be used as an instrument to analyze facial expression from oriental people in urban forests but contempt and scared expressions cannot be identified.
Comparison of Serum Levels of AMH and FSH Before and After Unilateral and Bilateral Laparoscopic Ovarian Drilling in PCOS Women Referred to YAS Infertility Clinic

Materials & Methods: This study was a prospective cohort study. The study population included infertile women with PCOS resistant to clomiphene referred to the Infertility Clinic of Yas Hospital. They were candidates for LOD in 2016–2017. The serum levels of AMH and FSH were measured before and after three months in two groups of unilateral and bilateral LOD. Data were analyzed using Stata software.
The Strontium Optical Lattice Clock: Optical Spectroscopy with Sub-Hertz Accuracy

for an Invited Paper for the DAMOP09 Meeting of The American Physical Society The Strontium Optical Lattice Clock: Optical Spectroscopy with Sub-Hertz Accuracy ANDREW LUDLOW, JILA, NIST and Univ. of Colorado Atomic clocks find significant roles in a number of scientific and technological settings. One interesting approach to a next-generation clock based on an optical transition uses atomic strontium confined in an optical lattice. The tight atomic confinement eliminates motional effects which otherwise trouble the atomic interrogation. At the same time, the optical lattice is equally perturbs the two electronic clock states so that the confinement introduces a net zero shift of the natural transition frequency. Here I describe the design and realization of an optical frequency standard using 87Sr confined in a 1-D optical lattice. With an ultra-stable laser light source, atomic spectral linewidths of the optical clock transition are observed below 2 Hz. High accuracy spectroscopy of the clock transition is carried out utilizing a frequency comb referenced to the NIST-F1 Cs fountain. To explore the performance of an improved, spin-polarized Sr standard, a coherent optical phase transfer link is established between JILA and NIST. This enables remote comparison of the Sr standard against optical standards at NIST. The high frequency stability of a Sr-Ca comparison (3x10−16 at 200 s) is used to make measurements of Sr transition frequency shifts at the fractional frequency level below 10−16. These systematic shifts are discussed in detail, resulting in a total uncertainty of the Sr clock frequency at 1.5x10−16, the smallest for a neutral atom system.
Modelling the Effect of Human Body around User on Signal Strength and Accuracy of Indoor Positioning

WLAN indoor positioning system (IPS) has high accurate of position estimation and minimal cost. However, environmental conditions such as the people presence effect (PPE) greatly influence WLAN signal and it will decrease the accuracy. This research modelled the effect of people around user on signal strength and the accuracy. We have modelled the human body around user effects by proposed a general equation of decrease in signal strength as function of position, distance, and number of people. Signal strength decreased from 5 dBm to 1 dBm when people in line of sight (LOS) position, and start from 0.5 dBm to 0.3 dBm when people in non-line of sight (NLOS) position. The system accuracy decreases due to the presence of people. When the system is in NLOS case, the presence of people causes a decrease in accuracy from 33% to 57%. Then the accuracy decrease from 273% to 334% in LOS case.
Investigation on Microbiological, Organoleptic and Shelf Life Characteristics of Wheat-cassava Bread

Aim: Microbiology, sensory and shelf life evaluation of wheat-cassava bread from raw materials to finished products. Study Design: Completely randomized design with two replications and average values calculated for mean comparison. Place and Duration of Study: Food/Industrial Laboratory, Department of Microbiology, University of Port Harcourt, Nigeria and Department of Medical Laboratory Science, Niger Delta University, Nigeria, from June 2018 to March, 2019. Methodology: Microbiological, proximate, physicochemical, sensory and shelf-life characteristics of wheat-cassava bread produced using different formulations (90:10; 80:20; 70:30; 60:40) and control 100% wheat-bread were investigated during storage at 32±2°C, using standard methods. Bread were baked at 180°C and 200°C. Two independent determinations were analyzed using ANOVA and significance of the mean differences determined at P=. 05. Results: Mean total heterotrophic counts (THC) of raw flour samples increased from 5.41 to 7.62 log10 cfu g -1 ; total coliform from, 1.08 to 1.90 log10 cfu g -1 ; and total fungal counts from 2.46 to 4.88 log10 cfu g -1 with increasing cassava flour substitution. Mean values for THC and total fungal counts of baked bread samples increased from 1.88 to 7.73 log10 cfu g -1 and 0.48 to 4.05 log10 cfu g -1 Original Research Article Okoli et al.; JAMB, 20(9): 87-106, 2020; Article no.JAMB. 61810 88 respectively from day 0 to day 6. However, coliforms were not detected in baked bread. The predominantly isolated bacteria were: Bacillus, Aerococcus and Staphylococcus while fungi were: Aspergillus, Penicillium and Fusarium. Proximate composition showed that carbohydrate and ash contents increased from 46.07 to 55.29% and 1.35 to 3.79% respectively while crude protein and moisture contents decreased from 14.01 to 8.08% and 29.0 to 23.8% respectively and pH from 6.59 to 6.14 with increasing cassava flour substitution. Conclusion: The overall acceptability of the wheat/cassava bread reduced with increasing cassava flour concentration, however, there was no significant difference (P=.05) in the overall acceptability of the 100% wheat bread and that of 90:10% till day four.
Evaluating the Onset, Severity, and Recovery of Changes to Smell and Taste Associated With COVID-19 Infection in a Singaporean Population (the COVOSMIA-19 Trial): Protocol for a Prospective Case-Control Study

Background Sudden loss of smell and/or taste has been suggested to be an early marker of COVID-19 infection, with most findings based on self-reporting of sensory changes at a single time point. Objective To understand the onset, severity, and recovery of sensory changes associated with COVID-19 infection, this study will longitudinally track changes in chemosensory acuity among people with suspected COVID-19 infection using standardized test stimuli that are self-administered over 28 days. Methods In a prospective, case-controlled observational study, volunteers will be recruited when they present for COVID-19 screening by respiratory tract polymerase chain reaction test (“swab test”). The volunteers will initially complete a series of questionnaires to record their recent changes in smell and taste ability, followed by a brief standardized smell and taste test. Participants will receive a home-use smell and taste test kit to prospectively complete daily self-assessments of their smell and taste acuity at their place of residence for up to 4 weeks, with all data submitted for collection through web-based software. Results This study has been approved by the Domain Specific Review Board of the National Healthcare Group, Singapore, and is funded by the Biomedical Research Council Singapore COVID-19 Research Fund. Recruitment began on July 23, 2020, and will continue through to March 31, 2021. As of October 2, 2020, 69 participants had been recruited. Conclusions To our knowledge, this study will be the first to collect longitudinal data on changes to smell and taste sensitivity related to clinically diagnosed COVID-19 infection, confirmed by PCR swab test, in a population-based cohort. The findings will provide temporal insights on the onset, severity, and recovery of sensory changes with COVID-19 infection, the consistency of symptoms, and the frequency of full smell recovery among patients with COVID-19. This self-administered and cost-effective approach has many advantages over self-report questionnaire–based methods and provides a more objective measure of smell and taste changes associated with COVID-19 infection; this will encourage otherwise asymptomatic individuals who are potential spreaders of the virus to self-isolate and seek formal medical diagnosis if they experience a sudden change in sensory acuity. This broadened case finding can potentially help control the COVID-19 pandemic and reduce the emergence of clusters of infections. Trial Registration ClinicalTrials.gov NCT04492904; https://clinicaltrials.gov/ct2/show/NCT04492904. International Registered Report Identifier (IRRID) DERR1-10.2196/24797
Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic

This work uses cognitive network science to reconstruct how experts, influential news outlets and social media perceived and reported the news “COVID-19 is a pandemic”. In an exploratory corpus of 1 public speech, 10 influential news media articles on the same news and 37,500 trending tweets, the same pandemic declaration elicited a wide spectrum of perceptions retrieved by automatic language processing. While the WHO adopted a narrative strategy of mitigating the pandemic by raising public concern, some news media promoted fear for economic repercussions, while others channelled trust in contagion containment through semantic associations with science. In Italy, the first country to adopt a nationwide lockdown, social discourse perceived the pandemic with anger and fear, emotions of grief elaboration, but also with trust, a useful mechanism for coping with threats. Whereas news mostly elicited individual emotions, social media promoted much richer perceptions, where negative and positive emotional states coexisted, and where trust mainly originated from politics-related jargon rather than from science. This indicates that social media linked the pandemics to institutions and their intervention policies. Since both trust and fear strongly influence people’s risk-averse behaviour and mental/physical wellbeing, identifying evidence for these emotions is key under a global health crisis. Cognitive network science opens the way to unveiling the emotional framings of massively read news in automatic ways, with relevance for better understanding how information was framed and perceived by large audiences.
Indigenous copper resistant bacteria isolated from activated sludge of water treatment plant in Surabaya, Indonesia

Irawati W, Pinontoan R, Yuwono T. 2020. Indigenous copper resistant bacteria isolated from activated sludge of water treatment plant in Surabaya, Indonesia. Biodiversitas 21: 5077-5084. Biological wastewater treatment using activated sludge is a promising wastewater treatment solution for removing heavy metals. To improve the effectiveness of biological wastewater treatment, activated sludge must consist of bacteria that can remove heavy metals through the process of bioaccumulation and biosorption. This study was aimed to isolate indigenous copper resistant bacteria and determining their resistance to copper, as well as analyzing their ability to accumulate and remove copper. Copper resistant bacteria were isolated from activated sludge of water treatment plant in industrial plant in Rungkut, Surabaya. Resistance to copper was analyzed by determining the value of minimum inhibitory concentration (MIC). The ability of bacterial isolates to remove copper was analyzed by atomic absorption spectrophotometer. A total of six highly copper resistant bacteria were isolated and designated as B6.1, C8.1, C9.3, C9.4, C9.5, C10.4 isolates. All isolates were categorized as high resistant bacteria with the MICs of 9-11 mM CuSO4. The two highest copper resistant bacteria were isolates C10.4 and C9.4. The ability of the two isolates to accumulate copper was 8.02 mg and 4.83 mg per gram dry weight of cells and to remove of copper up to 20.45% and 17.66%, respectively.
‘Usul mikul’, ‘Ketiban sampur’, and the atrophy of innovation process

Idea sharing is one of the most common ways of developing innovation in organizations. Aspirations and suggestions for improvements are recognized, discussed, and executed through idea sharing. This study adopts an ethnographic approach and critically analyzes how idea sharing goes against the grain of organizational culture. Based on a study of a higher education institution in Java, Indonesia, the paper highlights usul mikul and ketiban sampur as two modes of cultural practice which, over time, penalize innovators in their efforts to initiate change and renewal. The results show that these practices are formative to organizational atrophy. They weaken organizational capability to innovate due to the disuse of members’ capabilities. Importantly, the study contributes to the growing literature on innovation management, organizational culture, and higher education management.
A new similarity measure for vector space models in text classification and information retrieval

There are various models, methodologies and algorithms that can be used today for document classification, information retrieval and other text mining applications and systems. One of them is the vector space–based models, where distance metrics or similarity measures lie at the core of such models. Vector space–based model is one of the fast and simple alternatives for the processing of textual data; however, its accuracy, precision and reliability still need significant improvements. In this study, a new similarity measure is proposed, which can be effectively used for vector space models and related algorithms such as k-nearest neighbours (k-NN) and Rocchio as well as some clustering algorithms such as K-means. The proposed similarity measure is tested with some universal benchmark data sets in Turkish and English, and the results are compared with some other standard metrics such as Euclidean distance, Manhattan distance, Chebyshev distance, Canberra distance, Bray–Curtis dissimilarity, Pearson correlation coefficient and Cosine similarity. Some successful and promising results have been obtained, which show that this proposed similarity measure could be alternatively used within all suitable algorithms and models for information retrieval, document clustering and text classification.
The Chaotic Behavior of ICT Users

This paper describes how chaos theory was implemented to explain a behavioral aspect in an information system. The chaos theory was developed from the physical sciences and has been widely applied to many fields. However, this theory may also be applied to the social sciences. For certain types of human behavior, the chaos theory could comprehensively explain the phenomena of the use of information and communications technology (ICT). It means that this theory could clarify all the different kinds of human interactions with ICT. When the researchers used the chaos theory integratively, they could explain the distressed behavior of ICT users comprehensively. This theory argues that an individual acts randomly, even though the system is deterministic. When individuals use ICT, they could get technostress due to either the information systems or other users. This paper explains that ICT users could use information systems, with their complicated procedures and outputs. They were also probably disturbed by other users. The users, furthermore, experience chaotic pressures through their experiential values. This paper shows that users’ behavior when facing chaotic pressure depends upon their personality dimensions. The authors finally propose a new paradigm that this chaos theory could explain the chaotic actions of ICT users.
A model for phosphate glass topology considering the modifying ion sub-network

In the present paper we establish a temperature dependent constraint model of alkali phosphate glasses considering the structural and topological role of the modifying ion sub-network constituted by alkali ions and their non-bonding oxygen coordination spheres. The model is consistent with available structural data by NMR and molecular dynamics simulations and with dynamic data such glass transition temperature (Tg) and liquid fragility (m). Alkali phosphate glasses are exemplary systems for developing constraint model since the modifying cation network plays an important role besides the primary phosphate network. The proposed topological model predicts the changing trend of the Tg and m with increasing alkali oxide content for alkali phosphate glasses, including an anomalous minimum at around 20 mol. % alkali oxide content. We find that the minimum in Tg and m is caused by increased connectivity of the modifying ion sub-network, as the alkali ions must share non-bonding oxygen to satisfy their coordinati.
Conductivity Method as a New Monitoring Technique for Corrosion and Corrosion Inhibition Processes of Zinc Metal

The electrical conductivity method was successfully applied as a new monitoring technique to monitor the corrosion and corrosion inhibition processes of zinc metal. Measurements of electrical conductivity at 20.0°C of three different corrosive solutions (HCl, NaOH, and NaCl) were performed with two different concentrations (0.10 and 1.00 M) containing zinc sheets in the absence and presence of four different concentrations of sodium lignosulfonate (1.0, 5.0, 10.0, and 20.0 mM). The analysis of curves that illustrates the changes in electrical conductivity of these solutions provides qualitative information about the strength of corrosion as well as the extent of corrosion inhibition behavior. The results obtained from electrical conductivity measurements revealed that sodium lignosulfonate was an effective corrosion inhibitor in acidic medium (for both 0.10 and 1.00 M HCl) in which it converted into lignosulfonic acid, but was less effective in salt and alkaline media.