Miracle-dz/UniFAR-FTUs huggingface dataset:
To Continue Transmission or to Explore Relays: Millimeter Wave D2D Communication in Presence of Dynamic Obstacles

Millimeter wave (mmWave) device to device (D2D) communication is highly susceptible to obstacles due to severe penetration losses. Dynamic obstacles may cause unpredictable fluctuations to D2D channel quality and hence a D2D relay initially chosen by base station (BS) might undergo failed transmissions resulting in severe packet loss and delay. This local information regarding link quality deterioration needs to be informed to the BS by the user equipments (UEs) which may result in some delay. Also, exploring a new relay on mmWave channel results in significant delay due to directional search. Hence the following optimal sequential decision must be made when packet loss occurs: whether to explore for a new relay link considering exploration cost, or to continue communication via the existing relay. We model this sequential decision problem locally at each UE as partially observable Markov decision process to capture uncertainty in D2D links while minimizing delay. We derive an optimal threshold policy for both positively and negatively correlated links. We also provide a simplified and easy to implement policy based on successive acknowledgment failures for positively correlated links. Through simulation, we validate theoretical findings and demonstrate that our approach outperforms existing state of the art algorithms.
Moderators of the Association Between Teaching Students With Disabilities and General Education Teacher Turnover

We examined the association between the percentage of students with disabilities (SWD) in general education teachers’ classes and their likelihood of turnover, investigating potential internal and external resources (certification, experience, preparation, classroom management, and working conditions) as moderators and disaggregating types of teacher mobility. Before accounting for other variables, the percentage of SWD, and the percentage of students with most specific disabilities, in teachers’ classes were positively associated with moving within and moving between districts. These associations were not significant after accounting for student, teacher, and school characteristics. We identified a negative association between leaving teaching in the state and the percentage of SWD in teachers’ classes, even after accounting for other variables. Dual-certification and instructional leadership moderated some of these associations. Results suggest that future research is needed to identify the supports teachers have access to when they teach higher percentages of SWD.
SEC Compensation-related Comment Letters and Excess CEO Compensation

We examine the impact of compensation-related comment letters (hereafter CCLs) issued by the U.S. Securities and Exchange Commission (the SEC) on excess chief executive officers’ (CEO) compensation. We find that changes in compensation in the two-year window surrounding the release of CCLs are negatively associated with the number of disclosure defects identified in CCLs, and that this association is driven by defects that relate directly to pay or the method by which it was determined, rather than broader governance- or readability-related defects. Cross-sectional analyses suggest that the negative impact of a CCL on excess CEO compensation is concentrated in firms with overpaid CEOs and less powerful CEOs. We further show that total disclosure defects, pay-related defects and governance-related defects are positively associated with the likelihood that the subject firm experiences low shareholder support in subsequent ‘say-on-pay’ votes, suggesting that enhanced visibility of excess pay and resulting shareholder activism may be one channel through which pressure is brought to bear on firms to reduce excess compensation.
Deploying microbes as drivers and indicators in ecological restoration

Ecosystem degradation is a major environmental threat. Beyond conservation, restoration of degraded ecosystems is a prerequisite to reinstate their ability to provide essential services and benefits. Most of the restoration efforts focus on aboveground restoration, that is, plants, under the assumption that establishment of plant species will reestablish the faunal and microbial species. While this may be true for some cases, it is not a general rule. Reestablishment of microbial communities by dedicated efforts is also necessary for successful restoration, as cycling of essential nutrients for plant growth and decomposition of organic matter is dependent on them. The role of microbial fertilizers and efficient organisms used in agriculture needs to be explored in restoration. Testing of symbiotic interactions between potential plant growth‐promoting Rhizobacteria and plants native to a degraded ecosystem can be conducted and utilized for successful establishment of plant species. However, utmost care must be taken while introducing new microbial species or non‐native plant species to an area, as they can adversely affect the resident microbial community. Techniques like phospholipid fatty‐acid analysis can be used for taxonomic identification of large microbial groups in non‐degraded reference ecosystems before introducing microbial species into a degraded ecosystem. For use of microbes in restoration, more studies on microbe‐plant interactions need to be conducted. For use of Soil Microbial Community (SMC) as indicators of restoration, their role and function in the ecology of the area need to be elucidated by employing all the available techniques.
A Generalized 9-Intersection Model for Topological Relations between Regions with Holes

Current models cannot distinguish detailed topological relations between regions with holes. In order to solve this problem, a new detailed representation model for topological relations is proposed in this study. In this model, the key is to describe topological relations caused by multi-holes. Definitions of regions with holes and real objects expressed by elements of regions with holes are comprehensively analyzed, and then a practical definition of regions with holes is presented. Based on the 9-intersection model, a generalized 9-intersection model is proposed, which can completely describe detailed topological relations between regions with holes. For showing the description ability, the model is applied to describe detailed topological relations between regions with holes and detailed topological relations between objects of different complexities with the same major categories of topological relations, and a case study is designed to show the practicality of the model. The results show that the model is valid.
Optimization of TT&C Carrier Tracking Loop in Dynamic Environments

The carrier tracking error in TTC(Telemetry,Tracking and Command) system is mostly comprised of the thermal noise error and dynamic stress error.Loop bandwidth adjustment is the general way to optimum the performance of the carrier tracking loop.Based on the analysis of spacecraft dynamic characteristic and the error characteristic of carrier loop,an optimal loop bandwidth which can yield the minimum error in specified carrier-to-noise ratio and dynamic stress is presented.Additionally,an estimation method which can extract the carrier-to-noise ratio and dynamic stress real time from the carrier tracking loop itself is developed.By detecting the carrier-to-noise ratio and dynamic stress,the loop parameter is adjusted adaptively to minimize the tracking error.The simulation result shows that the algorithm is efficient to improve the precision of carrier tracking in high dynamic circumstance.
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey

Over the last decade, machine learning (ML) and deep learning (DL) algorithms have significantly evolved and been employed in diverse applications, such as computer vision, natural language processing, automated speech recognition, etc. Real-time safety-critical embedded and Internet of Things (IoT) systems, such as autonomous driving systems, UAVs, drones, security robots, etc., heavily rely on ML/DL-based technologies, accelerated with the improvement of hardware technologies. The cost of a deadline (required time constraint) missed by ML/DL algorithms would be catastrophic in these safety-critical systems. However, ML/DL algorithm-based applications have more concerns about accuracy than strict time requirements. Accordingly, researchers from the real-time systems (RTSs) community address the strict timing requirements of ML/DL technologies to include in RTSs. This article will rigorously explore the state-of-the-art results emphasizing the strengths and weaknesses in ML/DL-based scheduling techniques, accuracy versus execution time tradeoff policies of ML algorithms, and security and privacy of learning-based algorithms in real-time IoT systems.
Towards a smart suit

The paper will present the development of a smart suit, which is called the Intellitex suit. By smart suit is meant a stand alone garment with sensing capabilities for physiological signals, which has the ability to process the obtained data. It is the result of a successful merging process between new textile materials and wearable electronics. The suit to be presented has medical applications: it is meant to be used for long term and continuous monitoring of children in a hospital.
Design of Switched-Inductor Charging Regulator for Resistive On-Chip Thermoelectric Generators

On-chip thermoelectric generators (TEGs), unlike bulky off-chip TEGs, are easy to integrate and tiny. A CMOS switched-inductor charging regulator (SLCR) both harvests TEG power & draws battery power to supply Internet-of-Things (IoT) wireless microsensors. However, on-chip TEGs output millivolts, carry $\text{M}\boldsymbol{\Omega }$ source resistance RS, and produce nW power, which demand SLCR to boost low voltage, manage leakage, & maintain high efficiency. Design of such CMOS SLCR power stage often needs prolonged exhaustive tweaking & trial-and-error process. To tackle these challenges, this brief proposes a fundamental theory on the design of nW CMOS SLCR for low-voltage high-RS applications. With closed-form equations, this theory predicts the optimal power switch, optimal inductor, and optimal current profile, such that SLCR can harvest from the lowest voltage with highest efficiency. This brief provides experimental results with a 180-nm CMOS SLCR power stage prototype. With the theory, an optimal CMOS SLCR power stage can be designed with closed-form equations, without extensive trial-and-error efforts.
Food Security Moderates the Relationships of Muscle Mass with Metabolic Syndrome and Insulin Resistance

Background This study aimed to determine whether food security moderates the relationship of skeletal muscle mass with metabolic syndrome (MetS) and insulin resistance (IR). Methods This study analyzed the data of 10,680 adults using the Korea National Health and Nutrition Examination Survey from 2008 to 2011. The food security reported by households, appendicular skeletal muscle mass (ASM) divided by body mass index (BMI) (ASM/BMI), weight (ASM/weight), or height squared (ASM/height2) as muscle mass indicators, MetS (defined as presence of at least 3 components of MetS), and IR (defined as sex-specific highest quintile of homeostatic model assessment for IR) were assessed. The association between the muscle mass indicators and food security as well as their interaction with MetS and IR was analyzed for all participants and each sex using complex sample logistic regression and general linear model analyses. Results When the ASM/BMI increased by 0.1 kg/BMI, the odds for MetS and IR decreased by 36% and 29%, respectively, after adjusting for age, sex, education, economic level, smoking, alcohol consumption, physical activity, chronic diseases, and intake of fats and protein. There was a significant interaction between ASM/BMI and food security in their relationship with MetS and its components. In the low food security group, the inverse relationship of ASM/BMI with MetS and IR was stronger than in the food security group. These findings were more pronounced in men than in women, and similar findings were observed in the association with ASM/weight. Conclusions The associations of skeletal muscle mass with MetS and IR may be influenced by household food security in Korean adults.
Gaining competitive advantage through generic strategies in medical training colleges in Kenya

The study sought to explore the impact of generic strategies on competitive advantage in the medical training colleges in Kenya. The research was guided by the Dynamic capabilities theory, Resource-Based View theory and Knowledge-based view theories. The target population was 183 members of staff in the 4 medical training colleges in Nyeri County, Kenya. Data on 42 participants from the population was gathered from the top-level management, middle-level management and low-level management in these colleges using questionnaires. The research adopted a descriptive research design. Quantitative data analysis was conducted by use of descriptive statistics. Additionally, inferential statistical analysis on the observations was carried out. Qualitative data were analyzed by use of content analysis. Tables, bar graphs, and pie charts were employed for data presentation. The analyzed data revealed that cost leadership, differentiation and focus strategies positively contributed to the colleges’ competitive advantage with cost advantage having the greatest effect. The study recommends that colleges and other institutions employ the application of porter’s generic strategies since they have proved to be effective in contributing to competitive advantage.
Application of Combined A’WOT (AHP and SWOT): A Strategy for Post-Harvest of Duku

Duku is one of the fresh fruits that requires special attention. Duku (Lansium domesticum var. duku) is a well-known fruit with a pleasant aroma and flavour which has high economic value. The high demand of duku should be balanced with duku quality. The limitation of postharvest management and postharvest handling of duku would determine the marketing area. This study aims to determine the strategic management of postharvest duku. A quantitative AHP-based SWOT analysis has been proposed in this study to systematically evaluate priorities among SWOT components. The proposed technique is derived by pairwise comparisons of recognized SWOT elements and it was carried out using the Focus Group Discussion (FGD) method. The results of the comparison matrix show that the highest scores for strengths, weaknesses, opportunities, and threats are the nutritional value (64%), relatively short shelf life factor (62%), duku brand image in the community is very good (54%), and price fluctuation factor (68%). Therefore, the strategy that can be taken is to take advantage of a good duku brand image in the community due to the high nutritional value of duku fruit, so it requires a good strategy to deal with price fluctuations by maximizing post-harvest technology such as improving harvest storage technology, planting strategies, distribution strategies, and capital lending to reduce the effects of a relatively short shelf life.
The effects of isotretinoin on the inner ear in patients with acne vulgaris

Address for Correspondence/Yazışma Adresi: Esra İnan Doğan MD, Adıyaman University Faculty of Medicine, Department of Dermatology, Adıyaman, Turkey Phone: +90 553 852 94 20 E-mail: esranander@yahoo.com Received/Geliş Tarihi: 06.09. 2021 Accepted/Kabul Tarihi: 29.11. 2021 ORCID: orcid.org/0000-0002-9539-334X Cite this article as: İnan Doğan E, Yağız Aghayarov Ö. The effects of isotretinoin on the inner ear in patients with acne vulgaris. Turkderm-Turk Arch Dermatol Venereol 2022;56:17-23 Abstract
Atrial Fibrillation in a WPW Patient after the Consumption of Energy Drinks: A Case Report

This is a case of a young male who developed fast atrial fibrillation after he consumed three cans of Energy drinks (EDs). Treatment required electrical cardioversion and surprisingly, when he reverted to sinus rhythm, the ECG showed a type A Wolff Parkinson White syndrome (WPW) (left-sided accessory pathway), with no previous history.
Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning

In this work, we propose a new method that combines the support vector machine (SVM) and the long short-term memory (LSTM) model utilizing the theory of quotient space to predict the price of gold by leveraging the price factors that have supposedly an impact on the gold price. The Pearson correlation coefficient is employed to measure the relations between nine price factors and gold price. The five price factors with larger correlation coefficients are picked. Then, by utilizing the Granger causality test, the gold price may change concerning the two price factors when time is a concern, which results in combining the results of the correlation analysis with the results of Granger causality leading to a total of seven price factors. Also, the gold price can be divided into the quarters of the year according to the theory of the quotient space and temporal attribute. With three granularities per month, a 3-layer quotient space is constructed based on the synthesized and calculated granularities. The proposed method provides the prediction results that are compared with the predicted values of some grey models (GM) and the actual gold price, respectively. The results suggested that the prediction results of gold price have a comparable lower error measurement and perform better.
LA VISIBILITÀ ON-LINE DELLE IMPRESE ALBERGHIERE:UN POSSIBILE MODELLO DI MISURAZIONE

In a tourist scenario profoundly transformed by the advent of new online players, hotel companies are called today to exploit the online communication tools in a more and more conscious way. In this context, for hotel SMEs, it becomes fundamental to achieve a correct perception of the online presence in order to intervene in real time with specific web marketing actions. The research objectives are 1) to explore the firms’ online presence through an economic literature review 2) to define an online visibility measurement indicator. The research has provided for three sequential phases: 1) the economic literature analysis (to explore the online presence issue/ its principal dimensions) 2) creation of an Index of Online Visibility of Hotel 3) test through three successive measurements of the online visibility of all 227 Hotels of Cattolica. The research has produced three mutually coherent online visibility charts, showing, albeit with some limitations, the validity of the Index.
Analysis of Inclusive Economic Growth in Districts/Cities in East Java 2015-2019 (ADB and UNDP Approach)

Inclusive economic growth is economic growth aimed at the entire society regardless of social status or other differences in society. East Java is one of the provinces that have the vision to improve the welfare of society evenly without exception with a general strategy of development that is pro-people, growth that can also be felt by the poor, and growth that is pro-gender. With this vision, East Java aims to encourage the growth of inclusive economic growth. The purpose of this study is to provide an overview of how the ideal state of an inclusive economy is in the province of East Java. In research to determine the state of inclusive economic growth, There are two methods formulated by the two world institutions selected in this study, the first is the ADB method and the second is the UNDP method. The ADB method was chosen because it is a method specifically intended to measure inclusive growth in developing countries, especially the Asian region, and the indicators have been adjusted to conditions and problems in developing countries, while the UNDP method was chosen as a comparison to determine the state of an inclusive economy if economic growth variables are not included in the calculations. The results of this study indicate that according to the ADB approach, all districts and cities in East Java are at a satisfactory level, whereas according to the UNDP approach, some districts are at a high level and all cities and some districts are at the middle level.
The Antibody Response Against Neuraminidase in Human Influenza A (H3N2) Virus Infections During 2018/2019 Flu Season: Focusing on the Epitopes of 329-N-Glycosylation and E344 in N2

Seasonal influenza A (H3N2) virus has been a concern since its first introduction in humans in 1968. Accumulating antigenic changes in viral hemagglutinin (HA), particularly recent cocirculations of multiple HA genetic clades, allow H3N2 virus evade into humans annually. From 2010, the binding of neuraminidase (NA) to sialic acid made the traditional assay for HA inhibition antibodies (Abs) unsuitable for antigenicity characterization. Here, we investigated the serum anti-NA response in a cohort with a seroconversion of microneutralizing (MN) Abs targeting the circulating strain, A/Singapore/INFIMH-16-0019/2016 (H3N2, 3C.2a1)-like, a virus during 2018/2019 flu seasons. We discovered that MN Ab titers show no difference between children and adults. Nevertheless, higher titers of Abs with NA activity inhibition (NI) activity of 129 and seroconversion rate of 68.42% are presented in children aged 7–17 years (n = 19) and 73.47 and 41.17% in adults aged 21–59 years (n = 17), respectively. The MN Abs generated in children display direct correlations with HA- and NA-binding Abs or NI Abs. The NI activity exhibited cross-reactivity to N2 of H3N2 viruses of 2007 and 2013, commonly with 329-N-glycosylation and E344 in N2, a characteristic of earlier 3C.2a H3N2 virus in 2014. The percentage of such viruses pronouncedly decreased and was even replaced by those dominant H3N2 viruses with E344K and 329 non-glycosylation, which have a significantly low activity to the tested antisera. Our findings suggest that NI assay is a testable assay applied in H3N2 infection in children, and the antigenic drift of current N2 should be considered for vaccine selection.