Miracle-dz/UniFAR-FTUs huggingface dataset:
Sports Games towards Intelligence and Nerve Development of Children in Iodine Deficiency Endemic Area

Increased circulation, hormones, and energy metabolism due to exercise are thought to have a positive effect on nerve growth and development. This study aims to examine the effect of addition of sports games on IQ score, TSH, and BDNF levels of elementary school children in IDD endemic areas. This research method was a quasi-pretest-posttest control group design experiment. As many as 40 children aged 9 -11 years were divided into 19 children as controls, and 21 children doing sports games for 30 minutes per day, five times a week for eight weeks. Serum TSH and BDNF levels were measured using ELISA and IQ score using Culture Fear Intelligence Test (CFIT) method. Statistical analysis used was T-test, Wilcoxon, and Mann-Whitney test. The mean of serum TSH levels and IQ scores of the treatment group were not significantly different from those of the control group (p>0.05). The mean of BDNF levels in both groups increased significantly, and the increase in BDNF levels in the treatment group was greater than in the control group (p<0.05). It can be concluded that the addition of sports games did not significantly change TSH levels and IQ scores (p>0.05), but significantly increase BDNF levels (p<0.05).
Spatiotemporal-Aware Privacy-Preserving Task Matching in Mobile Crowdsensing

Task matching is widely used for participant selection in mobile crowdsensing (MCS). However, accurate task matching relies on collecting a large amount of user information, which has the risk of privacy leakage. Existing privacy-preserving task matching methods have the disadvantages of low matching efficiency and coarse matching granularity, and are difficult to apply to MCS because of higher real-time requirements. In this article, we propose a spatiotemporal-aware privacy-preserving task matching scheme, achieving efficient and fine-grained matching while protecting privacy between users and task publishers. Specifically, the time matching score (TMS) and location matching score (LMS) between users and tasks are defined for the spatiotemporal requirement of MCS. In addition, a lightweight protocol called SCP (secure computing protocol) is constructed based on Shamir secret sharing and Carmichael theorem for securely calculating TMS and LMS and matching attribute values by size and range. The correctness and security of our scheme are proved by detailed theoretical analysis, and the experimental result shows that the computational overhead of our proposed scheme is only 10% of that in the scheme we compared with, while the difference in communication overhead is less than 200 KB.
Caregivers’ Perspectives Towards Goals of Care and End of Life Issues in Egyptian Elderly Attending Geriatric Hospital

Background Pre-discussion of goals of care specially at end of life in dementia is not a common practice in Egypt Aim . The aim of the current study is to determine caregivers’ perspectives towards goals of care and end of life issues in moderate to severe and severe dementia patients. Methods A questionnaire was applied on 101 caregivers about perspectives of caregivers of moderate to severe and severe dementia patients toward goals of care and end of life issues Results No one of caregivers had previous training for dementia care or discussed dementia care goals or end of life issues with healthcare providers. Perspectives towards goals of care was 60.4% preferred decreasing patient suffering, 39.6% preferred preserving patient function. No one chose life prolongation as a goal of care . Regarding end of life care, 98% of caregivers accepted mechanical ventilation, 90.1% accepted using pain killers, 74.3% accepted using feeding tube and 97% accepted CPR at late stage. There was significant relation between duration since dementia was diagnosed (>1 year) and choosing nursing home for sleep problems, feeding problems and special patient. Conclusions Egyptians caregivers’ perspectives towards goals of care and end of life issues chosed to decrease suffering of patients and improve their quality of life rather than prolonging their life span in late stages of dementia. Educational level and caregivers’ relation with the patients didn’t influence caregivers’ perspectives towards end of life issues yet it slightly affected goals of care .
The Heliosphere as Seen in TeV Cosmic Rays

Measurements from several cosmic-ray air shower experiments reveal that the anisotropy of TeV cosmic-ray flux does not agree with a dipole pattern commonly expected from the Compton-Getting effect or from the diffusion of cosmic rays in Galactic magnetic fields. TeV cosmic-ray anisotropy maps often show fine features, some of which are slightly time-dependent. Because the size of the heliosphere is larger than the gyroradius of TeV cosmic rays in the interstellar magnetic field, the electric and magnetic fields of the heliosphere may distort the pattern of cosmic-ray anisotropy that one would see in the local interstellar medium without the presence of the heliosphere. We have developed a method of mapping cosmic-ray anisotropy using Liouville's theorem. In this paper, we show how to use cosmic-ray anisotropy features to determine the direction of the local interstellar magnetic field, the hydrogen deflection plane, the size and shape of the heliotail, and the geometry of the heliosphere bow wave.
A Semisupervised Deep Hybrid Multitask Model for RUL Prediction

Deep learning (DL) methods can be used to construct health indicators (HIs) for remaining useful life (RUL) prediction. The existing DL methods consider previous and current sensor signals and utilize labeled data, which are limited in practice. To leverage unlabeled data for extracting HIs, semisupervised methods, especially hybrid methods, can be employed. In this article, a semisupervised deep hybrid multitask model (DHMTM) for RUL prediction is developed. The DHMTM contains two temporal models for unlabeled and labeled multivariate time-series data, respectively. In the model training process, adding an extra task of prediction of future sensor signal values, the DHMTM can obtain His, which improve the RUL prediction accuracy. Besides, temporal dependency of sensor signals is captured in the proposed DHMTM. The effectiveness of the proposed model is validated using the commercial modular aero-propulsion system simulation (C-MAPSS) and the lithium-ion batteries datasets. The results show that using the proposed method, the prediction errors for the two datasets have been reduced by 2.5% and 23.5% on average, respectively, compared with the fully supervised regression model, and 17% and 44%, respectively, on average compared with three other widely used semisupervised methods.
Wiskunde en muziekcognitie

Wiskunde en muziekcognitie lijken twee vakgebieden die mijlenver uit elkaar liggen. Niets is minder waar, volgens muziekwetenschapper dr Henkjan Honing. Zonder wiskunde zou het onmogelijk zijn cognitieve theorieën over muziek te onderbouwen, te vergelijken, verifiëren of falsificeren, betoogt hij in een fictieve vertelling gebaseerd op ware feiten. Vooraf een introductie op het intrigerende vakgebied van de muziekcognitie.
Valuing employee productivity through the participative teamwork approach of telecommunication firms

The study examined the influence of teamwork on employee productivity in selected telecommunication firms in Delta State. The specific objectives of the study are to; determine the effect of team trust on employee productivity in selected firms in Delta State; ascertain the effect of reward and recognition on employee productivity in selected firms in Delta State and examine the effect of competent leadership on employee productivity in selected firms in Delta State. The study adopted a cross-sectional research design method. A sample size of 62 was chosen out of the 273 population of the study. The simple random sampling technique was adopted for the study. The instrument that was used for data collection is a single set of structured questionnaires. In this study, statistical techniques of data analysis were used. The list includes descriptive statistics, correlation, and regression analysis. All analysis was done using the statistical package for social science (SPSS) software version 25. Findings showed that team trust (ß = 0.181, P<0.05), reward and recognition (ß = 0.602, P<0.05), and competent leadership (ß = 0.128, P<0.05) have a positive effect on employee productivity. Findings showed that 40% of the change in employee productivity was brought about by the dimensions of teamwork. The study concluded that teamwork has a significant positive effect on Employee productivity in telecommunication firms. The study recommended amongst others that Managers must plan and design an appropriate reward system for the employee and encourage their participation in team arrangements for effective performance to be achieved and also create a conducive and trustable environment for synergetic teamwork. The study demonstrated that trust is a very crucial aspect of the team values and way of life which brings about togetherness in achieving specific goals of an organization.
Effects of Gum Arabic (Acacia senegal) Powder on Characteristics of Carcass and Breast Meat Quality Parameters in Male Broiler Chickens

Gum Arabic, one of the soluble fibers, is considered a source of natural prebiotics that can be fermented by the activity of the intestinal microbiota and, therefore, may have a positive effect on the performance, carcass characteristics, and meat quality of broilers. Therefore, the objective of this study was to investigate the effects of gum Arabic on performance, carcass characteristics, physicochemical properties, and quality of broiler breast meat. Six dietary treatments (T1–T5) with a basal diet (CON) containing 0.12%, 0.25%, 0.5%, 0.75%, and 1.0% gum Arabic, respectively. A total of 432 one-day-old male broiler chickens were conducted for 35 days. Performance and carcass characteristics, as well as physical, qualitative, and chemical indicators of breast meat, were evaluated. The results showed that the treatments improved overall performance (p < 0.05), such as body weight, weight gain, feed conversion ratio, and performance index, except for feed intake, which was lower at T1, T2, and T5 than at CON. Carcass characteristics, body components, and breast meat color or initial pH were not affected by dietary treatments (p > 0.05), but ultimate pH (T1 and T2) and color lightness were comparatively lower, and color change (T2–T3) was comparatively higher. Cooking water loss (T2–T4) and shear force (T1–T5) were higher in the treatments. Cohesiveness and resilience were higher in T2, while gumminess and chewiness were lower in T4 and T5. T1 breast meat had higher crude protein content and lower crude fat content, but the other chemical compositions were not affected by the treatments. Some fatty acids in the breast meat were more affected by treatments compared to CON. In conclusion, the present findings showed that gum Arabic (0.12% to 0.75%) has favorable effects on growth performance and some quality indicators of breast meat (such as cooking water loss, shear force, protein, and fat content), especially at the level of 0.12% with no alterations on the carcass characteristics and body components or physical indicators of breast meat.
Role of composition, bond covalency, and short-range order in the disordering of stannate pyrochlores by swift heavy ion irradiation

A 2 Sn 2 O 7 ( A = Nd, Sm, Gd, Er, Yb, and Y) materials with the pyrochlore structure were irradiated with 2.2 GeV Au ions to systematically investigate disordering of this system in response to dense electronic excitation. Structural modifications were characterized, over multiple length scales, by transmission electron microscopy, x-ray diffraction, and Raman spectroscopy. Transformations to amorphous and disordered phases were observed, with disordering dominating the structural response of materials with small A -site cation ionic radii. Both the disordered and amorphous phases were found to possess weberite-type local ordering, differing only in that the disordered phase exhibits a long-range, modulated arrangement of weberite-type structural units into an average defect-fluorite structure, while the amorphous phase remains fully aperiodic. Comparison with the behavior of titanate and zirconate pyrochlores showed minimal influence of the high covalency of the Sn-O bond on this phase behavior. An analytical model of damage accumulation was developed to account for simultaneous amorphization and recrystallization of the disordered phase during irradiation.
Imaging Spin Textures on Curved Magnetic Surfaces

One of the foci of modern materials sciences is set on expanding conventional two-dimensional electronic, photonic, plasmonic and magnetic devices into the third dimension. This approach provides means to modify conventional or to launch novel functionalities by tailoring curvature and three-dimensional (3D) shape. The degree of effect is particularly high for vector properties like the magnetization due to an emergent inversion symmetry breaking. Aside from capabilities to design and synthesize 3D magnetic architectures, proper characterization methods, such as magnetic tomographic imaging techniques, need to be developed to obtain a thorough understanding of the system’s response under external stimuli. The main objective of this thesis is to develop a visualization technique that provides nanometer spatial resolution to image the peculiarities of the magnetic domain patterns on extended 3D curved surfaces. The proposed and realized concept of magnetic soft Xray tomography (MXT), based on the X-ray magnetic circular dichroism (XMCD) effect with soft X-ray microscopies, has the potential to become a powerful tool to investigate element specifically an entirely new class of 3D magnetic objects with virtually any shape and magnetization. Imaging curved surfaces meets the challenge of three-dimensionality and requires a profound understanding of the recorded XMCD contrast. These experiences are gained by visualizing magnetic domain patterns on two distinct 3D curved surfaces, namely magnetic cap structures and rolled-up magnetic nanomembranes with cylindrical shape. The capability of MXT is demonstrated by reconstructing the magnetic domain patterns on 3D curved surfaces resembling hollow cylindrical objects.
CMOS-Compatible WS2-Based All-Optical Modulator

Two-dimensional materials are compatible with silicon complementary metal-oxide semiconductor processes. As such, the integration of two-dimensional materials with silicon-based semiconductors could lead to an amalgamation of the beneficial properties of both silicon and the two-dimensional material thereby facilitating improved performance. Single-layer transition metal dichalcogenide materials like MoS2, MoTe2 and WS2 are characterized by direct band gaps and possess high emission efficiencies. These materials are, therefore, perfectly suited for ameliorating the optical emission inadequacies of silicon-based-materials. In this study, we integrate WS2 with a silicon-based silicon-nitride waveguide to modulate a 532-nm pump light source, and successfully modulate and amplify an optical signal at 640 nm. Compared to other modulators based on two-dimensional materials, e.g., graphene, the proposed WS2-based modulator theoretically incurs lower losses and exhibits higher contrast levels and signal-to-noise .
Land Use Planning for Equitable Health Outcomes (LUPEHO) – A preliminary review of two land use planning instruments (as applied to Western Sydney)

This project (commissioned by the Western Sydney Health Alliance) reviews the development of healthy planning principles in Australia and internationally, assesses how land use planning instruments at the NSW State and local government levels align with and operationalise 12 healthy planning principles, and proposes a set of indicators that will assist the Alliance to benchmark and monitor health equity outcomes in the Western Parkland City.
The recent progress of endocrine therapy-induced osteoporosis in estrogen-positive breast cancer therapy

Breast cancer is a significant global health concern, and the discovery of endocrine therapy has played a crucial role in the treatment of estrogen-positive breast cancer. However, these therapies are often associated with osteoporosis-related adverse events, which increase the risk of fractures in breast cancer patients and can result in limited mobility and reduced quality of life. Previous studies have shown that osteoporosis is essential side effects of the breast cancer therapy, although the exact mechanisms remain mostly unclear. Current clinical treatments, such as bisphosphonates, cause side effects and may impact the therapeutic response to endocrine drugs. In this review, we explore the likelihood of endocrine therapy-induced osteoporosis in estrogen-positive breast cancer therapy and discuss the involved mechanisms as well as the therapeutic potential of drugs and drug combination strategies.
Complementarity problems, variational inequalities and extended Lorentz cones

In this thesis, we introduced the concept of extended Lorentz cones. We discussed the solvability of variational inequalities and complementarity problems associated with an unrelated closed convex cone. This cone does not have to be an isotone projection cone. We showed that the solution of variational inequalities and complementarity problems can be reached as a limit of a sequence defined in an ordered space which is ordered by extended Lorentz cone. Moreover, we applied our results in game theory and conic optimization problems. We also discussed the positive operators. We showed necessary and sufficient conditions under which a linear operator is a positive operator of extended Lorentz cone. We also showed sufficient and necessary conditions under which a linear operator in a specific form is a positive operator.
A Distracted Driving Discrimination Method Based on the Facial Feature Triangle and Bayesian Network

Distracted driving is one of the main causes of road crashes. Therefore, effective distinguishing of distracted driving behaviour and its category is the key to reducing the incidence of road crashes. To identify distracted driving behaviour accurately and effectively, this paper uses the head posture as a relevant variable and realizes the classification of distracted driving behaviour based on the relevant literature and investigation. A distracted driving discrimination algorithm based on the facial feature triangle is proposed. In the proposed algorithm, the Bayesian network is employed to judge driving behaviour categories. The proposed algorithm is verified by experiments using data from 20 volunteers. The experimental results show that the discrimination accuracy of the proposed algorithm is as high as 90%, which indicates that the head posture parameters used in this study are closely related to the distracted driving state. The results show that the proposed algorithm achieves high accuracy in the discrimination and classification of distracted driving behaviour and can effectively reduce the accident rate caused by distracted driving. Moreover, it can provide a basis for the research of distracted driving behaviour and is conducive to the formulation of the corresponding laws and regulations.
A Stealth Integrity Targeted Cyber‐Attack in Distributed Electric Power Networks with Local Model Information

Electric power networks are critical infrastructures, and their correct operation is of vital importance. Nowadays, these systems are prone to cyber‐attacks because of new vulnerabilities in the system and access to shared networks. In this paper, a novel Stealth Integrity Targeted Attack (SITA) is proposed in the context of distributed power systems. A distributed power system comprises several sub‐networks, or zones with dedicated control and monitoring centers. The overall system is represented by linear time invariant state space models with coupled dynamical and algebraic equations. In the proposed strategy, the attacker has access to only one of the sub networks; therefore, the attacker only requires local information about one of the power system zones. Primarily, the proposed attack policy is defined based on zero‐dynamics of the sub network. The intruder injects predesigned signals to both the local generation unit controller as well as local unsecured and controllable loads in the attacked zone. Moreover, the local measurement system, or the sensors of the targeted zone are tampered. Furthermore, it will be proved that although the neighbor zones have physical connections with the attacked zone, the injected adversary signals are designed as they do not impact other zones directly in order to conceal the local attack from neighbor control centers as much as possible. We provide some advice to system administrators to make the intrusion unfeasible or to reveal the attack. The simulations on IEEE‐118 bus test system illustrate the validity of the assertions.
Q-statistic and Bear market phenomenon of the Indian stock market

A decade after Samuelson's (1965) landmark paper, many others extended his framework to allow for risk-averse investors, yielding a neoclassical" version of the EMH where price changes, properly weighted by aggregate marginal utilities, must be unforecastable (Le Roy, 1973; Rubinstein, 1976; and Lucas, 1978). In markets where, according to Lucas (1978), all investors have rational expectations", prices do fully reflect all the available information and marginal-utility-weighted prices follow martingales. The EMH has been extended in many other directions, including the incorporation of non-traded assets such as human capital, state-dependent preferences, heterogeneous investors, asymmetric information, and transaction costs. But the general thrust is the same: individual investors form expectations rationally, markets aggregate information efficiently, and equilibrium prices incorporate all the available information.
The influence of employee orientation on employee performance in healthcare sector in Kisii County

The Kenyan government more especially the county governments have faced several human resource challenges in devolved government services, including employee turnover and improper management of health workers. The study sought to establish the influence of employee orientation on employee performance in healthcare sectors in Kisii County. The study adopted a survey research design with simple random sampling and purposive sampling techniques used identifying respondents for the study. The target population consisted of 498 employees in the Sub-County hospitals in Kisii County. The study sample involved 222 employees. Data analysis was done using SPSS version 25. The data was presented in the form of graphs and tables. The results indicated that there is a positive relationship between employee orientation and employee performance with correlation (r =0.376) with a sample size of N=200. Any change in employee orientation causes a positive correlation value of (0.376) unit change in employee performance. The relationship is statistically significant at Pvalue< (0.01)