Miracle-dz/UniFAR-FTUs huggingface dataset:
Dementia as Fixed or Malleable: Development and Validation of the Dementia Mindset Scale

Abstract Background and Objectives Care professionals differ in how they experience and respond to dementia caregiving. To explain such differences, we developed a new measure: the Dementia Mindset Scale. This scale captures the extent to which care professionals view dementia as stable and fixed (akin to the biomedical perspective) or as flexible and malleable (akin to the person-centered approach). Research Design and Methods We conducted four studies to develop the scale. We tested items for comprehensibility, assessed the scale’s factorial structure and psychometric properties, and investigated its predictive validity for care professionals’ well-being. Results A new scale with a two-factor structure—distinguishing a malleable dementia mindset from a fixed dementia mindset—was developed. Results showed good convergent and divergent validity. Moreover, the dementia mindsets predicted aspects of job-related well-being in care professionals. Discussion and Implications The scale allows for the assessment of individual differences in how care professionals see dementia. This insight can be used to improve interventions aimed at enhancing care professionals’ well-being and quality of care.
Food Science of Animal Resources

This study aimed at comparing the storage stability, fatty acids profile, volatile flavor compounds and eating quality of Hanwoo beef longissimus thoracis (LT) muscles between two marbling morphological groups (fineness and coarseness). The 1+ grade Hanwoo LT muscles were measured for marbling fleck morphology at the 13th thoracic vertebrae location by using computerized image analysis. Results reveal that both marbling groups had similar proximate composition (protein, fat, moisture and collagen), color and technological quality traits (p>0.05). However, the coarse marbling group presented greater C18:2n6 and polyunsaturated fatty acids contents compared to the fine marbling group (p<0.05). Furthermore, the fine marbling group presented lower volatile basic nitrogen (VBN) and 2-thiobarbituric acid reactive substance (TBARS) contents compared to the coarse marbling group after 14 d storage (p<0.05). Also, higher amounts of C18:2n6 oxidation-derived volatile compounds such as hexanal and 3-ethyl2-methyl-1,3-hexadiene, were found in the coarse marbling group. In term of sensory aspects, the finely-marbled group received higher scores of flavor and taste compared to the coarse marbling group (p<0.05). Overall, the marbling flecks morphology partially showed its effects on the storage stability, fatty acids profile and eating quality of the 1+ grade Hanwoo beef LT muscle.
Wide variation in the suboptimal distribution of photosynthetic capacity in relation to light across genotypes of wheat

Abstract Suboptimal distribution of photosynthetic capacity in relation to light among leaves reduces potential whole-canopy photosynthesis. We quantified the degree of suboptimality in 160 genotypes of wheat by directly measuring photosynthetic capacity and daily irradiance in flag and penultimate leaves. Capacity per unit daily irradiance was systematically lower in flag than penultimate leaves in most genotypes, but the ratio (γ) of capacity per unit irradiance between flag and penultimate leaves varied widely across genotypes, from less than 0.5 to over 1.2. Variation in γ was most strongly associated with differences in photosynthetic capacity in penultimate leaves, rather than with flag leaf photosynthesis or canopy light penetration. Preliminary genome-wide association analysis identified nine strong marker-trait associations with this trait, which should be validated in future work in other environments and/or materials. Our modelling suggests canopy photosynthesis could be increased by up to 5 % under sunny conditions by harnessing this variation through selective breeding for increased γ.
Relationship of added sugars intakes with physiologic parameters in adults: an analysis of national health and nutrition examination survey 2001–2012

Introduction Consumption of added sugars (AS) has been associated with increased risk for liver disease and risk factors for cardiovascular disease. The objective of this study was to further understand the relationship of AS intake with liver enzymes and risk factors for cardiovascular disease in adults (n = 29,687) participating in the National Health and Nutrition Examination Survey (NHANES) 2001–2012. Methods Individual usual intake (IUI) of AS was estimated using the Markov Chain Monte Carlo ratio method using two days of 24-hour dietary recalls gathered using standardized protocols. Subjects were separated into six consumption groups: 0 to <5%, 5 to <10%, 10 to <15%, 15 to <20%, 20 to <25% and ≥25% of energy as added sugars. Linear and group trends were determined using regression analyses for liver enzymes, cardiovascular risk factors, weight parameters, glucose, metabolic syndrome, and C-reactive protein. Logistic regression calculated odds ratios for these biomarkers above established risk levels (p < 0.01). Results There was an inverse group trend association with AS IUI for lower body mass index (beta = −0.12 kg/m2 across AS intake groups); % overweight/obese or % obese also showed inverse group trend (−1.44, −0.77, % units across AS intake groups, respectively). Liver enzymes did not show a significant association with AS IUI. Mean plasma glucose levels (mg/dL) showed an inverse linear (beta = −0.13 mg/dL per AS intake); and group association with energy from AS IUI (beta = −0.71mg/d L across AS intake groups). There was no association of AS intake with the risk of elevated uric acid levels; however, the odds of reduced uric acid levels was 17% lower with increasing intake of energy from AS IUI in group trend analysis only (0.83; 0.72–0.95 [99th CI]). Conclusion Although it is sensible to consume AS in moderation, results suggested that higher intakes of AS were not consistently associated with physiologic parameters. Since the data were cross-sectional, they cannot be used to assess cause and effect. Thus, additional studies are warranted to confirm these findings with more rigorous study designs.
Evaluation of an oral joint supplement on gait kinematics and biomarkers of cartilage metabolism and inflammation in mature riding horses

Abstract Twenty stock-type horses (589 ± 126 kg BW; 13 ± 8 yr) were used in a completely randomized design for 28-d to evaluate the impact of a joint supplement on gait kinematics, inflammation, and cartilage metabolism. Horses were stratified by age, sex, body weight (BW), and initial lameness scores and were randomly assigned to one of two dietary treatments consisting of either a 100-g placebo top-dressed daily to 0.6% BW (as-fed) commercial concentrate (CON; n = 10; SafeChoice Original, Cargill, Inc.), or an oral joint supplement (SmartPak Equine LLC) containing glucosamine, chondroitin sulfate, hyaluronic acid, methylsulfonylmethane, turmeric, resveratrol, collagen, silica, and boron (TRT; n = 10). Horses were group-housed with ad libitum access to coastal bermudagrass hay (Cynodon dactylon) and allowed to graze pasture 2 h/d. Horses were exercised progressively 4 d/wk at 45 min each. On days 13 and 27, blood was harvested followed by a 19.3-km exercise stressor on concrete. Horses traveled at the walk, with no more than 15 min at the trot. Every 14 d, BW and BCS were recorded, and blood was collected for plasma prostaglandin E2 (PGE2), serum collagenase cleavage neopeptide (C2C), carboxypropeptide of type II collagen (CPII), and chondroitin sulfate 846 epitope (CS846) analysis. Kinematic gait analysis was performed every 14 d (Kinovea v.0.8.15) to determine stride length (SL) and range of motion (ROM) of the knee and hock at the walk and trot. Data were analyzed using PROC MIXED of SAS. All horses increased BW and BCS over time (P ≤ 0.01). Hock ROM increased in TRT horses (P ≤ 0.02) at the walk and tended to increase at the trot compared to CON (P = 0.09). At the walk, SL and knee ROM increased over time, independent of dietary treatment (P ≤ 0.01); no time effect was observed at the trot (P > 0.15). Regardless of treatment, C2C and CPII increased over time (P ≤ 0.05) and no effect was observed for CS846 or PGE2 (P > 0.12). In response to the exercise stressor, CPII and PGE2 decreased (P ≤ 0.05) from day 13 to 14, and CS846 and PGE2 tended to decrease (P ≤ 0.10) from day 27 to 28, independent of dietary treatment. In conclusion, hock ROM at the walk and trot was most sensitive to dietary treatment. Supplementation did not alter biomarker concentration of collagen metabolites or systemic inflammation in the 28-d period, but a future study utilizing arthrocentesis may be warranted to specifically evaluate intra-articular response to dietary treatment.
THEMED ISSUE: TELEMETRY IN THE NORTHWEST ATLANTIC AND CARIBBEAN Using Acoustic Telemetry to Estimate Weakfish Survival Rates along the U.S. East Coast

The Weakfish Cynoscion regalis, an economically important species, has declined over the last 30 years, corresponding with an increase in total mortality according to the most recent stock assessment. We estimated estuarinespecific and coastwide apparent survival of Weakfish by using a Cormack–Jolly–Seber model to provide insights into the spatiotemporal component of mortality. Telemetered Weakfish (n= 342) were released across five estuaries ranging from North Carolina to New Jersey between 2006 and 2016. In estuaries from Delaware Bay and northward, egress peaked around the third week of September; in North Carolina, egress peaked by the first week of November. For three estuaries with adequate sample sizes, apparent survival estimates were similar and a joint model including all telemetered Weakfish estimated an extremely low annual apparent survival rate of 0.001 (95% credible interval [CrI]= 0.002–0.0003) or annual apparent instantaneous total mortality of 7.25 (95% CrI= 6.28–8.05). At a minimum, 61% of telemetered Weakfish emigrated in the fall, but only 2 of 149 fish with long-lived transmitters were detected as returning to estuaries the following year. This is a small proportion for a fish that exhibits spawning site fidelity. We conclude that the disappearance of telemetered Weakfish represents mortality that occurs between emigration and the spring spawning period, potentially during overwinter periods on the continental shelf. Our study provides insights into the magnitude, timing, and location of Weakfish loss and facilitates an improved understanding of Weakfish population dynamics for use in stock rebuilding. *Corresponding author: jrkrause@ncsu.edu Received May 31, 2019; accepted October 10, 2019 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 12:241–257, 2020 © 2020 The Authors. Marine and Coastal Fisheries published by Wiley Periodicals, Inc. on behalf of American Fisheries Society. ISSN: 1942-5120 online DOI: 10.1002/mcf2.10095
Deep Learning Models for Estimation of Flood Severity Using Multimodal and Satellite Images

This paper addresses the Multimedia Satellite Task at Media-Eval 2019. We have focussed on the challenge of extracting information present in satellite images. Satellite images provide variety of information like weather, how any event on land unfolds and hence they play an important role in disaster management. We present our approaches for three subtasks: (1) Image-based News Topic Disambiguation, (2) Multimodal Flood Level Estimation from news, (3) Classification of city-centered satellite sequences. All three tasks are related to classifying the images as flood related or not. We have discussed about the performance of proposed CNN models and pre-trained models in the context of binary classification of images for flood related data.
WHAT IS NEW IN MAGNETOTELLURICS?

The geophysical technique of magnetotellurics (MT) was first described over sixty years ago with seminal papers by Tikohnov (1950) and Cagniard (1953). Over the subsequent six decades, the method has developed steadily, finding application in both academic research and resource exploration. The MT method, along with seismics, is one of the few geophysical techniques to provide meaningful depth constraint, and to probe deep geology beyond the reach of a drill.
Load Flow Analysis and Optimal allocation of DG for Indian Utility 62 Bus Power System

Load flow study is a numerical analysis of the power flow in interconnected power systems. This study is a fundamental aspect for the planning, operation, control and economic estimation of the power system. Newton Raphson (NR) method is the most successful method for solving the complex nonlinear power flow equations of the large power systems. The reliability of the solution obtained from the NR method is quite better than those obtained through other methods. Moreover, unlike other methods, it can also solve cases that lead to divergence. In this paper, the load flow analysis and distributed generation (DG) allocation in Indian utility 62-bus power system(real distribution system) is performed by using Backwards/ Forward Sweep (BFS) methods, NR method and combination of particle swarm optimization algorithm (PSO) with NR method. The solutions obtained using these methods were presented in terms of voltage magnitude, active power, reactive power, phase angle and power losses. The load flow solutions obtained using the above-said methods were validated with the results obtained using continuation power flow (CPF) and evolutionary-based optimal power flow (EPOPF) methods, published earlier. In this paper, the PSO algorithm is proposed for optimal placement, and sizing of DG with an objective of the power loss reduction and voltage profile improvement. PSO algorithm is used to find out the best location and optimal size of DG.
A Simple Procedure to Correct for Attenuation of ANOVA Statistics in Decision Sciences Research

: Studies in the field of Decision Sciences that employ multi-item rating scales to measure latent constructs have predominantly used ANOVA rather than Means and Covariance Structure Analysis (MACS) in order to investigate group mean differences. However, traditional statistics in ANOVA (e.g., t and F) attenuate when dealing with imperfect measures, which in turn potentially leads to incorrect interpretation of results in the form of accepting the false null hypothesis and/or underestimating the true effect size. To address this issue, we describe in this paper a new but simple procedure to disattenuate the ANOVA-based statistics for measurement error. Using previously published studies, we provide an illustration for practically implementing this procedure that has not been used in prior literature. A major implication of our work is that scholars in decision sciences can now report correct estimates of test statistic and enhanced effect size when examining between-group mean differences, thereby leading to a richer and more appropriate interpretation of findings in contemporary research.
Kaolin and Bentonite Catalysts Efficiencies for the Debutylation of 2-Tert-Butylphenol

Yemeni clays (bentonite and kaolin) were used as catalysts and catalysts supported metals ions Ce, Pt, Pt-Ce, Pd, Pd-Ce, for the debutylation reaction of 2-tert-butylphenol. The two clays were characterized using atomic absorption spectroscopy, particle size analyzer and N2-BET adsorption method. The activity of debutylation reaction was found to depend on the type of the catalyst. Kaolin based catalysts were more active than those bentonite based. The Selectivity of the catalysts was found to depend on the type of treatment that each catalyst was subjected to. The catalysts that were treated by calcination were more selective towards phenol formation (debutylation reaction of 2-tertbutylphenol), while those treated by reduction were more selective toward the formation of 4-tert-butylphenol (isomerization reaction of 2-tertbutylphenol).
Design of Electric Power System Studies Using Mipower

In the electric power system for the design, planning, control and operation at the current time and upcoming forecasting expansion of systems the power study or load flow analysis is essential. The effect of interconnections, add or remove generations, loads, transmission lines, etc. known before the installation gives the top, financial and effectual operation. This paper explains about the solution of load flow study considering of input voltage and indication power settings to power system and provides all the busses power flow and voltage magnitude. The calculation of load flow studies is easy for small system. But the system is too large that consists with hundreds or thousands busses it is problematical by hand. The MiPower (MiP) software is used to resolve power flow solution problem since large power system network. To solve the power flow problem in present many software program available for example MATLAB, Power World Simulator (PWS), PSCAD and MiPower but, Mipower is chosen. Because Mipower is best simulation software of power flow studies for bulky network and it is adoptable for like smart grid and smart city applications. And also it gives the detailed and accurate result with less time. The Mipower software is the forward-looking simulation equipment in an attempt to develop the load flow analysis. All the power system tools were designed to survive high effectiveness and to resist worst case situation. It is also has the inbuilt GPS interface due to this software is best for smart grid and smart city applications.
ARCTIC SAFETY AND CHALLENGES

A vessel of opportunity is a vessel close enough to aid a vessel in distress. Under international law, every vessel at sea is required to assist in a distress situation. If the ship receiving the distress alert is unable to assist, for example because the ship does not have enough fuel to reach the vessel in distress, the ship must inform the appropriate search and rescue (SAR) service accordingly. The vessel of opportunity can be released from the obligation to assist if the vessel in distress or search and rescue responders informs them that their assistance is not needed. The Arctic is characterized by long distances and limited search and rescue capabilities. Vessels of opportunity can be an invaluable asset in SAR operations in the Arctic. In many cases, a vessel of opportunity will be able to reach a vessel in distress long before search and rescue vessels or other assistance can arrive on site. In the summer months, expedition cruise ships sailing in Arctic waters represent a great resource for preparedness and response. Not only are these vessels present in remote locations far from other search and rescue assets, the ships also carry equipment, supplies and personnel that enable them to make a significant contribution to SAR operations. Cruise ships carry food, water, medical supplies, and may have doctors, numerous high-speed small vessels and other resources onboard that are useful in SAR operations. Tabletop exercises organized by AECO and SAR entities have shown that there is a potential for making better use of the resource that cruise ships represent. Increased dialogue between SAR entities and operators and vessel owners will give a better understanding of available resources, needs and operational requirements. AECO is working with Arctic SAR entities to facilitate this dialogue. One important platform for collaboration is the Joint Arctic SAR Tabletop Exercise and Workshop, which AECO organizes annually in collaboration with the Icelandic Coast Guard and Joint Rescue Coordination Center Northern Norway. AECO is also one of 21 international partners in the international ARCSAR (Arctic Search and Rescue) project, which will include a live exercise on a cruise vessel. AECO, the Association of Arctic Expedition Cruise Operators have 70 international members operating more than 50 expedition cruise vessels in the Arctic. This presentation will present Arctic cruise tourism, measures to ensure safety and especially focus on the potential for making better use of the resource that cruise ships represent and their role as vessel of opportunity. The presentation will also shed light on how AECO is working to achieve this by facilitating dialogue and cooperation between the expedition cruise industry and search and rescue entities. THE ROLE OF AGREEMENTS UNDER THE AUSPICES OF THE ARCTIC COUCIL IN BUILDING SAFETY IN THE REGION
Small and Medium Enterprises’ External Technology R&D Information Network Diversity and Green Management Performance

As the environmental pollution and the global warming have become more and more serious, the green management has been growing more and more critical to small and medium enterprises. In order to explore factors positively influencing small and medium enterprises’ green management performance, this study presents the two major implications through the ordinary least squares regression based on the 2,200 data from the small and medium enterprises in the Republic of Korea. First, small and medium enterprises’ external technology R&D information network diversity positively influences their green management performance from technology R&D. Second, small and medium enterprises’ production process improvement is a partial mediator between their external technology R&D information network diversity and green management performance from technology R&D.
A Simple and Efficient Automatic Attendance Management System (SEA 2 MS)

: Student’s attendance places an important role in evaluation of their academic performance particularly in the learning strategies that influence the bloom learning outcomes in most of the educational institutions. A high participation rate in the classroom is not only improve their subject knowledge and a motivating factor for teachers and contributes to a suitable environment for more willing and informative teaching. The faculty are finding trouble in both checking and keeping up every understudy's record in the homeroom condition on customary basis using manual attendance system (MAS), especially in a large number of students with distributed branches and leads prone to mistakes / fraud. It is very challenging task to the management of any educational institutions to overcome the above problems. There are various papers are available in the literature, but most of them are concentrated on only face recognition and with their college environment. In this paper, a simple and efficient automatic attendance management system using Principle Component Analysis (PCA) based facial recognition technique is proposed. The authors demonstrate, how face recognition can be used for an effective attendance management system that automatically record the presence of an enrolled students for a section of 47 students in the department of ECE at KL University. The proposed system can maintain a log file to keep records of all the students’ attendance and useful for both faculty and management to process without any mistakes and delay. The experimental results show the effectiveness of the proposed algorithm. The results show that the productivity of the proposed work