Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Job Redundancies Toward Intention to Leave with Job Insecurity as the Intervening Variable: A Case Study of a Four-Star Hotel in Indonesia During Pandemic Covid-19

Pandemic Covid-19 has caused the hospitality, travel, and tourism industry around the world to face a major loss. One way to minimize the loss in these sectors is by implementing job redundancies. This option was also implemented by one of the hotels in Pontianak, West Kalimantan, Indonesia. However, job redundancies are not implemented without costs. Employees will experience continuous fear or job insecurity which will result in employees’ willingness to find a new job or intention to leave. Therefore, the purpose of this research is to find out if job redundancies influence the intention to leave with job insecurity as the intervening variable towards the survivors of the redundancy program at the hotel. This research is using the quantitative method as its research approach. The data collection method is conducted by distributing an online questionnaire. The data has passed the validity and reliability tests. The first until third hypotheses tests are using t-test while the fourth hypothesis is using Sobel test. The results of the research show that job redundancies influence job insecurity by 57.9%. Both job insecurity and job redundancies influence the intention to leave by 72%. Finally, job redundancies indirectly influence the intention to leave through job insecurity. The recommendations are to conduct business process re-engineering or service process re-designing to maintain the viability of the business, instead of opting for job redundancies. Job redundancies should be the last resort when previous options are not working as this will affect employee turnover rate in the future.
MORE ON THE ISOMORPHISM SU(2) ⊗ SU(2) ≅ SO(4)

In this paper, we revisit the isomorphism SU(2) ⊗ SU(2) ≅ SO(4) to apply to some subjects in Quantum Computation and Mathematical Physics. The unitary matrix Q by Makhlin giving the isomorphism as an adjoint action is studied and generalized from a different point of view. Some problems are also presented. In particular, the homogeneous manifold SU(2n)/SO(2n) which characterizes entanglements in the case of n = 2 is studied, and a clear-cut calculation of the universal Yang–Mills action in (hep-th/0602204) is given for the abelian case.
Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts

The past decade has witnessed the increasingly created point-of-interest (POI) data, which are utilized to express the semantics of places. To understand the POI semantics, current methods usually embed POI categories into a latent space via certain trajectory sequential models, while neglecting the underlining spatial information. It is noteworthy that the complex spatial relationships among POI categories contain substantial information that benefits meaningful semantic embeddings for various POI categories. Inspired by this, we present a unified POI Category Embedding Method (CatEM for short), which jointly encodes the sequential transitions and spatial relations of POI categories as well as the adaptive semantic neighbors of each POI category. The merits of CatEM lie in that: (1) it considers the pairwise spatial similarities between categories and represents categories with larger similarity values with adjacent embeddings in the latent space, and (2) it adaptively locates neighbor categories with similar semantics in the embedding space to improve the adaptivity of POI category embedding. The proposed pre-trained POI category embeddings are justified by three downstream tasks. Extensive experiments demonstrate the superiority of our proposed model, as compared to several cutting-edge baselines.
A 0.56-mW 63.6-dB SNDR 250-MS/s Two-Step SAR ADC in 8-nm FinFET

This letter presents a two-step SAR ADC that uses coarse and fine comparators with dedicated SAR logics and asynchronous clock generators for each comparator to increase the energy efficiency by optimizing comparators and reduce output loading of the comparators and asynchronous clock generators. The relative offset of the two comparators is calibrated by redundancy-based offset detection and input transistor-transconductance controlled offset correction method without compromising the power. A constant impedance skewed inverter saves reference current with low short circuit current without additional CDAC settling time and logic. The ADC is fabricated in an 8-nm FinFET process, and achieves 63.6-dB SNDR at 250-MS/s while consuming 0.56 mW, resulting in Walden FoM of 1.81 fJ/conversion $\cdot $ step.
Triple Massey products and Galois theory

We show that any triple Massey product with respect to prime 2 contains 0 whenever it is defined over any field. This extends the theorem of M. J. Hopkins and K. G. Wickelgren, from global fields to any fields. This is the first time when the vanishing of any $n$-Massey product for some prime $p$ has been established for all fields. This leads to a strong restriction on the shape of relations in the maximal pro-2-quotients of absolute Galois groups, which was out of reach until now. We also develop an extension of Serre's transgression method to detect triple commutators in relations of pro-$p$-groups, where we do not require that all cup products vanish. We prove that all $n$-Massey products, $n\geq 3$, vanish for general Demushkin groups. We formulate and provide evidence for two conjectures related to the structure of absolute Galois groups of fields. In each case when these conjectures can be verified, they have some interesting concrete Galois theoretic consequences. They are also related to the Bloch-Kato conjecture.
Two New Indices for Unsupervised Dimensionality Reduction of Hyperspectral Data

Hyperspectral imaging, with hundreds of spectral bands provide a rich data source for thematic mapping. However, the high dimensionality of these images is a challenge which is commonly treated by dimensionality reduction techniques. In this paper, a pixel-based hyperspectral dimensionality reduction technique is proposed in which the spectral signature curve (SSC) is divided into segments with equal lengths. Afterwards two new mathematical indices, which are based on integral and L2-norm, are proposed to transform each SSC segment into a new feature of the reduced feature vector. The proposed method considers the ordinance of SSC and, unlike PCA, can be applied individually to all pixels independently and simultaneously which means the method is applicable in parallel processing. The proposed data reduction technique was applied to two well-known agricultural hyperspectral scenes and was compared to wavelet and PCA data reduction techniques. The obtained results proved the efficiency of the proposed method from both classification accuracy and processing time aspects.
GEOGRAPHY OF SPIN SYMPLECTIC FOUR-MANIFOLDS WITH ABELIAN FUNDAMENTAL GROUP

Abstract We study the geography and botany of symplectic spin four-manifolds with abelian fundamental group. By building on the constructions of J. Park and of B. D. Park and Szabó, we can give alternative proofs and extend several results on the geography of simply connected four-manifolds to the nonsimply connected realm.
Short and Long-Term Wellbeing of Children following SARS-CoV-2 Infection: A Systematic Review

Post-COVID conditions in children and adolescents were mostly investigated as the incidence of individual or clusters of symptoms. We aimed to describe the findings of studies assessing key outcomes related to global wellbeing and recovery in children and adolescents from a public health perspective. We searched the Cochrane COVID-19 Study Register and WHO COVID-19 Global literature on coronavirus disease database on 5 November 2021 and tracked ongoing studies published after this date. We included observational studies on children and adolescents with a follow-up greater than 12 weeks and focused on the outcomes of quality of life, recovery/duration of symptoms, school attendance and resource use/rehabilitation. We assessed their methodological quality, and we prepared a narrative synthesis of the results. We included 21 longitudinal and 4 cross-sectional studies (6 with a control group) with over 68 thousand unvaccinated children and adolescents with mostly asymptomatic or mild disease. Study limitations included convenience sampling, a poor description of their study population and heterogeneous definitions of outcomes. Quality of life was not largely affected in adolescents following COVID-19, but there might be greater impairment in young children and in those with more severe forms of the disease (4 studies). There might also be an impairment in daily activities and increased school absenteeism following COVID-19, but the findings were heterogeneous (5 studies). A total of 22 studies provided highly variable estimates based on heterogeneous definitions of overall persistence of symptoms (recovery), ranging from 0 to 67% at 8–12 weeks and 8 to 51% at 6–12 months. We found limited data on resource use and the need for rehabilitation. One controlled study indicated that the quality of life of infected children and adolescents might not substantially differ from controls. All controlled studies found a higher burden of persistent symptoms in COVID-19 cases compared with test-negative controls or cases of influenza. There is limited evidence on the short and long-term well-being of children following SARS-CoV-2 infection. High-quality longitudinal studies with control groups are needed to describe the outcomes in this population, especially in vaccinated children and those affected by new variants of the virus.
Efficient and Provably Secure Data Selective Sharing and Acquisition in Cloud-Based Systems

Towards the large amount of data generated everyday, data selective sharing and acquisition is one of the most significant data services in cloud-based systems, which enables data owners to selectively share their data to some particular users, and users to selectively acquire some interested data. However, it is challenging to protect data security and user privacy during data selective sharing and selective acquisition, because cloud servers are curious about the data or user’s interests, and even send data to some unauthorized users or some uninterested users. In this paper, we propose an efficient and provably secure Data selective Sharing and Acquisition (<inline-formula> <tex-math notation="LaTeX">${\sf DSA}$ </tex-math></inline-formula>) scheme for cloud-based systems. Specifically, we first formulate a generic data selective sharing and acquisition problem in cloud-based systems by identifying several design goals in terms of correctness, soundness, security and efficiency. Then, we propose the <inline-formula> <tex-math notation="LaTeX">${\sf DSA}$ </tex-math></inline-formula> scheme to enable data owners to control the access of their data in a fine-grained manner, and enable users to refine the data acquisition without revealing their interests. Technically, a brand new cryptographic framework is developed to integrate attribute-based encryption with searchable encryption. Finally, we prove that the proposed <inline-formula> <tex-math notation="LaTeX">${\sf DSA}$ </tex-math></inline-formula> scheme is correct, sound, secure in the random oracle model, and efficient in practice.
Synthetic Aperture Radar During the 50 Years of the Aerospace and Electronic Systems Society

This document is a necessarily selective overview of achievements in synthetic aperture radar (SAR) technology during the 50 years of the Aerospace and Electronic Systems Society's existence. Advances in radar technology, fueled by the digital revolution, have led to a concomitant flowering of SAR applications in land, sea, air, and space. The development of coherent radar during World War II enabled the formation of a large, synthetic aperture, enabling microwave images with high lateral resolution, that is largely impervious to time of day and weather. We follow the history of this technology, from airborne platforms, onward onto satellites. We examine some of the achievements of SAR in a wide range of applications. SAR technology has now truly moved into the commercial exploitation phase, with almost an exponential growth in systems available to customers.
Newtonian polytropes for anisotropic matter: General framework and applications

We set up the general formalism to model polytropic Newtonian stars with anisotropic pressure. We obtain the corresponding Lane-Emden equation. A heuristic model based on an ansatz to obtain anisotropic matter solutions from known solutions for isotropic matter is adopted to illustrate the effects of the pressure anisotropy on the structure of the star. In particular, we calculate the Chandrasekhar mass for a white dwarf. It is clearly displayed how the Chandrasekhar mass limit changes depending on the anisotropy. Prospective astrophysical applications of the proposed approach are discussed.
Mean-Field Multi-Agent Reinforcement Learning for Peer-to-Peer Multi-Energy Trading

With increasing numbers of prosumers employed with multi-energy systems (MES) towards higher energy utilization efficiency, an advanced energy management scheme is becoming increasingly important. The incorporation of MES into the existential energy market holds promise for future power systems. The continuous double auction (CDA) market, in a decentralized manner, makes it ideal for enabling peer-to-peer (P2P) energy trading due to its high transparency and efficiency. However, the CDA market is difficult to model when considering the highly stochastic and dynamic behaviors of market participants. For this reason, we formulate this task as a Decentralized Partially Observed Markov Decision Process and propose a novel multi-agent reinforcement learning method that allows each prosumer agent to stabilize the training performance with mean-field approximation and also to maintain the scalability and privacy with market public information. Case studies constructed on a real-world scenario of 100 prosumers show that our method captures the economic benefits of the P2P energy trading paradigm without violating the prosumers' privacy, and outperforms the state-of-the-art methods in terms of policy performance, scalability, and computational performance.
Effects of Ultrasound-Guided Injection Combined with a Targeted Therapeutic Exercise in Breast Cancer Women with Subacromial Pain Syndrome: A Randomized Clinical Study

In this randomized controlled study, we aimed to assess the effects of US-guided injections of the subacromial bursa followed by a personalized rehabilitation program for breast cancer (BC) survivors. We assessed patients with subacromial pain syndrome without tendon lesions and with a history of post-surgical non-metastatic BC. Thirty-seven patients were enrolled and randomly assigned 1:1 to receive US-guided corticosteroid injections combined with a personalized rehabilitation program (Group A; n: 19) or US-guided corticosteroid injections alone (Group B; n: 18). The primary outcome was pain relief, assessed using a numerical pain rating scale (NPRS). The secondary outcomes were muscle strength, shoulder function, and quality of life. No major or minor late effects were reported after the multidisciplinary intervention. Statistically significant within-group differences were found in terms of NPRS (p ≤ 0.05) in both groups. No significant between-group differences were reported after one week. However, the between-group analysis showed significant differences (p ≤ 0.05) after three months of follow-up in terms of pain intensity, muscle strength, shoulder function, and quality of life. Our findings suggested positive effects of a multidisciplinary approach including US-guided corticosteroid injections combined with a personalized rehabilitation program in improving pain intensity and quality of life of BC survivors with subacromial pain syndrome.
The exactness of a general Skoda complex

We show that a Skoda complex with a general plurisubharmonic weight function is exact if its 'degree' is sufficiently large. This answers a question of Lazarsfeld and implies that not every integrally closed ideal is equal to a multiplier ideal even if we allow general plurisubharmonic weights for the multiplier ideal, extending the result of Lazarsfeld and Lee \cite{LL}.
Fixed-Time Sliding Mode Control for DC/DC Buck Converters With Mismatched Uncertainties

In this paper, the fixed-time control problem of DC-DC buck converter systems with mismatched disturbances is investigated. Firstly, the sliding mode fixed-time observers are constructed to estimate the matched and mismatched disturbances of the systems. Secondly, a novel segmented terminal sliding mode control (TSMC) variable considering the mismatched disturbance of the system is designed based on the observations. To improve the tracking performance, a new second-order fixed-time reaching law is proposed. Then, in order to make the DC-DC buck converter systems with mismatched disturbances achieve accurate control in a fixed-time independent of the initial state, a novel fixed-time nonsingular TSMC based on the fixed-time observers is proposed. Finally, comparative experiments are conducted to verify the effectiveness and practicality of the proposed control strategy.
Local limit theorems via Landau–Kolmogorov inequalities

In this article, we prove new inequalities between some common probability metrics. Using these inequalities, we obtain novel local limit theorems for the magnetization in the Curie-Weiss model at high temperature, the number of triangles and isolated vertices in Erd\H{o}s-R\'{e}nyi random graphs, as well as the independence number in a geometric random graph. We also give upper bounds on the rates of convergence for these local limit theorems and also for some other probability metrics. Our proofs are based on the Landau-Kolmogorov inequalities and new smoothing techniques.
Pathological scattering by a defect in a slow-light periodic layered medium

Scattering of electromagnetic fields by a defect layer embedded in a slow-light periodically layered ambient medium exhibits phenomena markedly different from typical scattering problems. In a slow-light periodic medium, constructed by Figotin and Vitebskiy, the energy velocity of a propagating mode in one direction slows to zero, creating a “frozen mode” at a single frequency within a pass band, where the dispersion relation possesses a flat inflection point. The slow-light regime is characterized by a 3 × 3 Jordan block of the log of the 4 × 4 monodromy matrix for EM fields in a periodic medium at special frequency and parallel wavevector. The scattering problem breaks down as the 2D rightward and leftward mode spaces intersect in the frozen mode and therefore span only a 3D subspace V˚ of the 4D space of EM fields. Analysis of pathological scattering near the slow-light frequency and wavevector is based on the interaction between the flux-unitary transfer matrix T across the defect layer and the projec.
Quantum superintegrability and exact solvability in n dimensions

A family of maximally superintegrable systems containing the Coulomb atom as a special case is constructed in n-dimensional Euclidean space. Two different sets of n commuting second-order operators are found, overlapping in the Hamiltonian alone. The system is separable in several coordinate systems and is shown to be exactly solvable. It is solved in terms of classical orthogonal polynomials. The Hamiltonian and n further operators are shown to lie in the enveloping algebra of a hidden affine Lie algebra.
High Temperature Recuperators Cooperating with a Metallurgical Furnace for Heating the Air Under Pressure

In this paper, a system which uses hot furnace gases from a metallurgical process to heat compressed air necessary for another energy process is presented. The applied construction of the recuperator ensures high temperatures of the heated air needed for its utilisation in a separate process. Their levels depend on the processes in the reactor. A limitation to the construction of the installation is creep resistance of the materials used to assemble the recuperator modules which operate under high-temperature regimes. The well-prepared gas dynamic design of the recuperator ensured low pressure loss for the flowing air. Furnace gases leaving the recuperation system still have a high energy potential which can be utilised. As it is not possible to manage such large amounts of additional energy, the problem will be solved in the future when necessary.
Stratified Convexity & Concavity of Gradient Flows on Manifolds with Boundary

As has been observed by Morse [1], any generic vector field v on a compact smooth manifold X with boundary gives rise to a stratification of the boundary by compact submanifolds , where . Our main observation is that this stratification re-flects the stratified convexity/concavity of the boundary with respect to the v-flow. We study the behavior of this stratification under deformations of the vector field v. We also investigate the restrictions that the existence of a convex/concave traversing v-flow imposes on the topology of X. Let be the orthogonal projection of on the tangent bundle of . We link the dynamics of theon the boundary with the property of in X being convex/concave. This linkage is an instance of more general phenomenon that we call “holography of traversing fields”—a subject of a different paper to follow.
On the Evolution of Additive Manufacturing (3D/4D Printing) Technologies: Materials, Applications, and Challenges

The scientific community is and has constantly been working to innovate and improve the available technologies in our use. In that effort, three-dimensional (3D) printing was developed that can construct 3D objects from a digital file. Three-dimensional printing, also known as additive manufacturing (AM), has seen tremendous growth over the last three decades, and in the last five years, its application has widened significantly. Three-dimensional printing technology has the potential to fill the gaps left by the limitations of the current manufacturing technologies, and it has further become exciting with the addition of a time dimension giving rise to the concept of four-dimensional (4D) printing, which essentially means that the structures created by 4D printing undergo a transformation over time under the influence of internal or external stimuli. The created objects are able to adapt to changing environmental variables such as moisture, temperature, light, pH value, etc. Since their introduction, 3D and 4D printing technologies have extensively been used in the healthcare, aerospace, construction, and fashion industries. Although 3D printing has a highly promising future, there are still a number of challenges that must be solved before the technology can advance. In this paper, we reviewed the recent advances in 3D and 4D printing technologies, the available and potential materials for use, and their current and potential future applications. The current and potential role of 3D printing in the imperative fight against COVID-19 is also discussed. Moreover, the major challenges and developments in overcoming those challenges are addressed. This document provides a cutting-edge review of the materials, applications, and challenges in 3D and 4D printing technologies.