Miracle-dz/UniFAR-FTUs huggingface dataset:
Location Estimation of Mobile Wireless LAN Client in Multistory Buildings using Strength of Received Signals in State Space Framework

This paper describes a method for location estimation of mobile wireless local area network (LAN) clients in multistory buildings using the strength of the received signals in a state space framework. Data pertaining to the physical positions of personal electronic devices or mobile robots are important for information services and robotic applications. We focus on integrating the estimation results with other sensor data based on a state space framework. The estimation model for location provides a variance of a mobile client’s location. We integrate the estimation results and the motion results of the mobile client using a Kalman ﬁlter. The estimation model is re-initialized when the mobile client moves to another ﬂoor in the building by detecting the change in the ﬂoor number where the mobile client has moved. This is done by using the Bayesian inference. Experimental results show the feasibility of this method.
Natural Phenolic Compounds as Modifiers for Epoxidized Natural Rubber/Silica Hybrids

Silica is a popular filler, but in epoxidized natural rubber, can act as a cross-linking agent. Unfortunately, a high amount of silica is necessary to obtain satisfactory tensile strength. Moreover, a high amount of silica in ENR/silica hybrids is associated with low elongation at break. In our paper, we propose natural phenolic compounds, including quercetin, tannic acid, and gallic acid as natural and safe additional crosslinkers dedicated to ENR/silica hybrids to obtain bio-elastomers with improved mechanical properties. Therefore, toxic crosslinkers, such as peroxides or harmful accelerators can be eliminated. The impact of selected natural phenolic compounds on crosslinking effect, mechanical properties, color, and chemical structure of ENR/silica composite have been analyzed. The obtained results indicated that only 3 phr of selected natural phenolic compounds is able to improve crosslinking effect as well as mechanical properties of ENR/silica hybrids. Moreover, some of the prepared materials tend to regain mechanical properties after reprocessing. Such materials containing only natural and safe ingredients have a chance of becoming novel elastomeric biomaterials dedicated to biomedical applications.
Do the Internships of Social Work Students Contribute to Their Professional Identity?

The text deals with the current topic of the professional identity of social workers, focusing on the phase in which professional identity is formed during undergraduate studies. The work seeks an answer to the question: How do third-year students (higher vocational and BA level of study) interpret their professional identity after completing a two-month internship? This question assumes that student work experience contrib-utes to the formation of their professional identity. The work focuses on the importance of practical training during studies in the process of forming the professional identity of future social workers. The main theme of the theoretical part of the paper is identity as an initial concept for understanding professional (personal) identity, which plays a significant role at the start of the professional development of an educational institution. The subject of the empirical part of this work will be the search for the answer to the main research question: How does the two-month internship in the third year of students’ studies affect their notion of professional identity? In other words, how does a student become a social worker who understands their professional identity and its relevance in coping with the practical demands of the social work profession? The article responds to the changing needs and innovations in the tertiary education of social work students as well as to the demands of social work practice (employ-ers), which is calling for a change in the professional training of future social workers IV/2021 in the context of changing conditions for the performance of social work and social services, both in theoretical and practical training. Practical training requires flexible, creative, and adaptable social workers in whom an anchored professional identity can help manage the high job requirements and lead to increased resilience in coping with the demands of prior learning experiences, interaction with the environment, personal assumptions, and self-reflection.
Compounds Profile of Polar Subfraction of Ethyl Acetate Fraction of Soft Coral Nepthea sp., Antioxidant and Cytotoxic Properties

Nepthea sp. , a soft coral In Indonesia's South-East Sulawesi, it thrives. The chemical and pharmacological properties of this genus have not been studied in this location. As a result, the goal of this page is to offer a broad overview of both properties of Nepthea sp. The sample was taken from Hoga Island. Methanol was used to extract the material, which was then fractionated with hexane and ethyl acetate to produce n-hexane, ethyl acetate, and methanol fractions. Vacuum liquid chromatography was also used to fractionate the ethyl acetate fraction. Phytochemical screening, LC-MS/MS, Total Phenolics Content (TPC), and Total Flavonoids Content (TFC) were used to determine the chemical contents. DPPH radicals and ABTS were used to assess antioxidant activity and MTT assays for cytotoxicity. Six subfractions are produced by fractioning the ethyl acetate fraction (160 g), with the most polar subfraction (F) weighing 15.4 g. The phenolics and flavonoids constituents in Subfraction F have IC50 values of 68.77±4.8 mg GAE/g extract and 0.22±0.1 mgQE/g extract, respectively. The presence of phenolics, flavonoids, and alkaloids in the subfraction F is supported by the LC-MS/MS data, Subfraction F has 3-ter-butyl-4-methoxyphenol (terpenoids or phenolics compound), isosalsoline (alkaloids), valine (amin acid), and several unidentified chemicals with molecular formulas C15H23NO3, C33H47NO4, C29H49NO3 (alkaloids or amino acid) and C8H18O3 (phenolic compound). The IC50 values (mg/L) of 101.1 ± 8.8 (DPPH) and 89.76 ± 7.5 (ABTS) indicate that F has antioxidant capacity, and it is also cytotoxic against breast cancer cell lines (MCF-7) with an IC50 of 170.72±6.5mg/mL.
Performance specifications and evaluation methods for fabric strain sensors

The performance specifications of fabric strain sensors were presented based on corresponding standards,commercial products of other sensors and application of the sensor.General evaluation methods were given for key characteristics such as sensitivity,linearity,repeatability,hysteresis,etc.,moreover,relaxation and responding time were adopted to evaluate sensors for large strain measurement.These evaluation methods can be used for performance evaluation of other fabric strain sensors.New fabric strain sensor developed by our group was characterized based on these methods.It shows that the sensor can stably measure strain up to 20% with a relative high sensitivity(gauge factor about 43),small hysteresis(6.25%),relative short relaxation time and short responding time as well as good repeatability,linearity;it has a lot of application potentials in electrotherapy treatment,sports and rehabilitation.
Local Seismic Amplification Analysis In The Industrial Area Of Sulmona, Central Italy

This paper deals with local seismic amplification analysis in the industrial district of the Sulmona basin (Central Italy) using both Nakamura’s HVSR technique and 1-D numerical simulation computed with Shake91 code. An extensive geognostic database allows one to make out the geometries of the subsurface layers up to a depth of 50 m and cross-hole tests led to characterization of the dynamic proprieties of terrenes, namely the shear wave velocities values. Noise measurements were collected in the 0.1-10 Hz frequency domain and data were used to calibrate the 1-D simulations, performed using as source a seismic record of M=5.5. The results obtained point out that local site effects are present in the central and eastern parts of the basin. Moreover, the comparison between the 1-D simulation spectra and the spectra of project provided in the Italian norms enhances the fact that in these areas the expected response is underestimated in the increased frequency range of buildings.
Discolouring 3D Gel Dosimeter for UV Dose Distribution Measurements

This work reports on a new TBO–Pluronic F–127 three-dimensional (3D) gel dosimeter for UV light dose distribution measurements. The optimal gel composition was found to be 60 µM Toluidine Blue O (TBO), which acts as a UV-sensitive compound; 5% w/w hydrogen peroxide (H2O2), which is necessary for initiation of TBO photodegradation and 25% w/w poly(ethylene oxide)-block-poly(propylene oxide)-block-poly(ethylene oxide) (Pluronic F–127), which forms a physical gel matrix. The dosimeter becomes discoloured when exposed to UV radiation and a discolouration is the more intense, the higher the absorbed dose is. The samples after irradiation with UVA, UVB and UVC radiation were measured using UV-Vis spectrophotometry to obtain the basic dose–response characteristic of the dosimeter, including dose sensitivity, linear and dynamic dose range, threshold dose, stability over time and dose–response for fractioned and non-fractioned doses. Additionally, the TBO–Pluronic F–127 gel dosimeter was investigated for spatial stability and the ability to measure the dose distribution of UV radiation. The results obtained indicate that the TBO–Pluronic F–127 dosimeter is a promising UV sensor and 2D/3D UV dosimeter.
A Systems Thinking Approach Investigating the Estimated Environmental and Economic Benefits and Limitations of Industrial Hemp Cultivation in Ireland from 2017–2021

There may be unrecognised environmental and economic benefits in cultivating industrial hemp for CO2 sequestration in Ireland. By using a Systems Thinking approach, this study aims to answer how industrial hemp, which can sequester between 10 to 22 million Mt CO2 per hectare, has been helpful towards carbon sequestration efforts. A mixed-methods design combining qualitative and quantitative secondary material is used to inform Behaviour over Time Graphs (BoTGs) to illustrate the data from 2017 to 2021. In 2019 the total CO2 emissions from agriculture was 21,151.24 million Mt, and the total land cultivated with hemp was 547 hectares which represented 0.0079% of total land use and 0.0123% of agricultural land use. Based on a sequestration rate of between 10 and 22 million Mt of CO2, industrial hemp had the potential to sequester between 5470 Mt and 24,068 million Mt of CO2, this represents nearly quarter to potentially all the CO2 from agriculture and equates to a carbon tax equivalent of between €109,400 and €481,360 for that year. The total amount of CO2 sequestrated between 2017 and 2021 was between 14,660 million Mt and 64,504 million Mt of CO2. This represents an estimated contribution in carbon tax equivalent of between €348,805 and €1,534,742, respectively.
A Comparative Study of Naive Bayesian and Full Bayesian in DFI Application

Deep Packet Inspection and Deep Flow Inspection are the methods that inspect P2P application.Deep Packet Inspection can't detect unknown and encrypt P2P application,but Deep Flow Inspection overcomes this shortage.The Bayesian classification technique which is relatively more mature in field of fuzzy recognition is applied to the detection technique of P2P deep flow inspection.Based on practical project,we research Bayesian classifier-Naive Bayesian and full Bayesian in arithmetic,result of training and result of running.The results of an experiment show Naive Bayesian and full Bayesian can rapidly and accurately locate P2P flow application.Naive Bayesian is more advanced in accuracy and full Bayesian is better in runtime.
Metabolic Engineering of Corynebacterium glutamicum for Sustainable Production of the Aromatic Dicarboxylic Acid Dipicolinic Acid

Dipicolinic acid (DPA) is an aromatic dicarboxylic acid that mediates heat-stability and is easily biodegradable and non-toxic. Currently, the production of DPA is fossil-based, but bioproduction of DPA may help to replace fossil-based plastics as it can be used for the production of polyesters or polyamides. Moreover, it serves as a stabilizer for peroxides or organic materials. The antioxidative, antimicrobial and antifungal effects of DPA make it interesting for pharmaceutical applications. In nature, DPA is essential for sporulation of Bacillus and Clostridium species, and its biosynthesis shares the first three reactions with the L-lysine pathway. Corynebacterium glutamicum is a major host for the fermentative production of amino acids, including the million-ton per year production of L-lysine. This study revealed that DPA reduced the growth rate of C. glutamicum to half-maximal at about 1.6 g·L−1. The first de novo production of DPA by C. glutamicum was established by overexpression of dipicolinate synthase genes from Paenibacillus sonchi genomovar riograndensis SBR5 in a C. glutamicum L-lysine producer strain. Upon systems metabolic engineering, DPA production to 2.5 g·L−1 in shake-flask and 1.5 g·L−1 in fed-batch bioreactor cultivations was shown. Moreover, DPA production from the alternative carbon substrates arabinose, xylose, glycerol, and starch was established. Finally, expression of the codon-harmonized phosphite dehydrogenase gene from P. stutzeri enabled phosphite-dependent non-sterile DPA production.
A Reconfigurable Framework for Vehicle Localization in Urban Areas

Accurate localization for autonomous vehicle operations is essential in dense urban areas. In order to ensure safety, positioning algorithms should implement fault detection and fallback strategies. While many strategies stop the vehicle once a failure is detected, in this work a new framework is proposed that includes an improved reconfiguration module to evaluate the failure scenario and offer alternative positioning strategies, allowing continued driving in degraded mode until a critical failure is detected. Furthermore, as many failures in sensors can be temporary, such as GPS signal interruption, the proposed approach allows the return to a non-fault state while resetting the alternative algorithms used in the temporary failure scenario. The proposed localization framework is validated in a series of experiments carried out in a simulation environment. Results demonstrate proper localization for the driving task even in the presence of sensor failure, only stopping the vehicle when a fully degraded state is achieved. Moreover, reconfiguration strategies have proven to consistently reset the accumulated drift of the alternative positioning algorithms, improving the overall performance and bounding the mean error.
How Working Mothers Juggle Jobs and Family during COVID-19: Communicating Pathways to Resilience

ABSTRACT This qualitative study explored how working mothers communicatively constructed resilience during COVID-19. We focused on working mothers because the pandemic upended arrangements they had made previously to juggle work and family lives. Drawing on the Communication Theory of Resilience (CTR), the study analyzed data collected from 24 U.S. working mothers who were interviewed via Zoom between July and September 2020. We found five themes characterizing the triggers working mothers faced in the pandemic: financial disruptions, on-the-job issues, space-related concerns, temporal concerns, and role-related issues. Consistent with CTR, mothers responded to these disruptions by crafting resilience with the six processes suggested by previous research. Further, we found a seventh process, “communicating emotional well-being,” that mothers crafted to recalibrate emotional upsets due to the pandemic. The findings also suggested that working mothers saw their own resilience as inextricably tied to the resilience of their children and partners.
Approximate Synchronization of Complex Network Consisting of Nodes With Minimum-Phase Zero Dynamics and Uncertainties

A synchronization algorithm of nonlinear complex networks composed of nonlinear nodes is designed. The main idea is to apply the exact feedback linearization of every node first, then applying methods for synchronization of linear complex networks. The nodes need not admit full exact feedback linearization, however, they are supposed to be minimum-phase systems. To achieve the synchronization of the observable parts of the nodes, an algorithm based on the convex optimization (to be specific, on linear matrix inequalities) is proposed. Then, it is demonstrated that, using the minimum-phase assumption, the non-observable part of the nodes is synchronized as well. The algorithm for synchronization of the observable parts of the nodes can be used to design a control law that is capable of maintaining stability in presence of certain variations of the control gain. Uncertainties in the parameters are also taken into account. Two examples illustrate the control design.
Poor self-regulation in eating behaviour during the COVID-19 lockdown contributes to weight gain among young adults in Malaysia

ABSTRACT This cross-sectional study aims to investigate physical activity, self-regulation in eating behaviour, and their associations with body weight trajectory during the COVID-19 nationwide lockdown (Movement Control Order, MCO) in Malaysia. The International Physical Activity Questionnaire-Short Form (IPAQ-SF) was used to assess physical activity and sitting time during the MCO. Self-regulation in eating behaviour was evaluated with the Self-Regulation of Eating Behaviour Questionnaire (SREBQ), while weight trajectory was self-reported by the respondents. Of the 200 young adults, 82.0% were reported to be physically active during the MCO, with a weekly physical activity intensity of 4551.16 ± 4744.89 MET-minute. Young adults in this study spent 8.63 ± 4.47 hours/day on sedentary activities during the MCO. It is also noted that the majority (71.0%) had medium self-regulation in eating behaviour during the lockdown, with a mean score of 3.08 ± 0.49. Slightly more than half of the young adults (57.0%) gained weight since the MCO enforcement, with an average weight increment of 1.28 ± 0.60 kg. Findings from the multinomial logistic regression suggested that self-regulation in eating behaviour was a significant predictor for weight trajectory during the MCO. Young adults who attained a higher score in SREBQ were more likely in sustained weight (AOR = 2.514, p = 0.024, CI: 1.129–5.597) and weight loss (AOR = 2.624, p = 0.011, CI: 1.250–5.507) categories. In conclusion, poor response to food cues (poor self-regulation in eating behaviour), but not physical inactivity, led to weight gain during the MCO in Malaysia.
A Compact Sub-GHz Wide Tunable Antenna Design for IoT Applications

This work presents a compact meandered loop slot-line 5G antenna for Internet of Things (IoT) applications. Recently, sub-gigahertz (sub-GHz) IoT technology is widely spreading. It enables long-range communications with low power consumption. The proposed antenna structure is optimized to operate at sub-GHz bands without any additional complex biasing circuitry or antenna structure. A miniaturized design was achieved by a meandered structured loop slot-line that is loaded reactively with a varactor diode. Wideband frequency reconfigurability (FR) was achieved by the use of the varactor diode. The proposed antenna resonates over the frequency band of 758–1034 MHz with a minimum bandwidth of 17 MHz over the entire frequency band. The RO4350 substrate with dimensions of 0. 18λg × 0. 13λg mm2 is used to design the proposed antenna design. The efficiency and gain values varied from 54–67% and 0.86–1.8 dBi. Compact planar structure, narrow-band operation (suitable for NB-IoT) and simple biasing circuitry, which allows for sub-GHz operation, are unique and attractive features of the design.
DRILLING FLUID TECHNOLOGY OF YACHENG13-1-A12SAH EXTENDED REACH WELL WITH HIGH TEMPERATURE & SUPER LOW PORE PRESSURE

Yacheng13-1-A12Sah is a sidetracking horizontal well in Yacheng 13-1 gas field in the west of south China Sea, its features are high bottom hole temperature of 176℃, super low reservoir pore pressure of 0.47 g/cm3, displacement nearly 4000 meter, maximum well deviation of 89°. To avoid the risk of large numbers of drilling fluid loss and protect reservoir effectively, the natural core of Yacheng13-1-A12Sah well was sent to M-I SWACO experiment research center located in Houston United States to study and analyze, and the VERSACLEAN oil base drilling fluid system was determined which could suitable to this high temperature and super low pore pressure well. The laboratory research and field application have both proved the VERSACLEAN system had good high temperature stability, lubricant performance, sealing characteristics and reservoir protection performance. It overcame successfully the two typhoons influences in drilling process. The production of A12Sah has exceeded ODP proration requirement. And successful drilling of A12Sah well has a guiding and reference meanings to optimization of drilling fluid system for similar extended reach horizontal well drilling in high temperature and super low pore pressure formation.
Distributed and Collective Intelligence for Computation Offloading in Aerial Edge Networks

Unmanned aerial vehicles (UAVs) with integrated computing platforms can be used to provide computing offloading services for ground user equipments (UEs) with limited local computing capabilities, especially in remote areas. In this paper, we focus on the task offloading in an aerial edge network (AEN) assisted by a UAV. We aim at minimizing the sum energy consumption of all UEs by the joint optimization of the task offloading decisions and the UAV position under the constraints of the latency and the total energy of UAV. The formulated optimization problem is a mixed-integer nonconvex problem and involves coupling of many optimization variables. To address this challenge, we first transform the original optimization problem into a linear convex optimization problem via reformulation linearization technology, and then the alternating direction method of multipliers (ADMM) algorithm is proposed to achieve the approximate optimal solution. Numerical results confirm that the proposed ADMM algorithm can effectively reduce the total of energy consumption of UEs and ensure the continuous operation of the UEs.