Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Open Switch Fault-Tolerant Capability in CCS-MLI Topology

Multilevel inverters (MLIs) are very popular in renewable energy applications and other DC to AC conversion systems due to their reliability, reduced voltage stress, low total harmonic distortion (THD), reduced filter size, low electromagnetic interference, etc. Consequently, the photovoltaic (PV) generation systems, mainly installed in remote areas, require highly reliable systems. The high failure rate of sources and power semiconductor devices results in very low reliability for inverters used in PV generation systems. The aim of this study is to develop a five-level MLI topology with fault-tolerant (FT) characteristics. Therefore, a highly resilient fault-tolerance topology, based on a cross-connected source-based MLIs (CCS-MLI) structure, is proposed in this paper. The developed CCS-MLI topology can tolerate open switch faults in any single switch failure. The proposed system and results developed in a MATLAB/Simulink environment are discussed under normal and faulty states. The simulation results are validated experimentally. Finally, the quantitative and qualitative superiority of the proposed CCS-MLI is demonstrated through the comparative analysis of other recent topologies.
Efficient Method for Computing Capacitance Changes between Electrodes due to Foreign Objects in Capacitive WPT Systems

In this paper, a foreign object detection method based on an integral formula is derived for capacitive wireless power transfer systems. The formula expresses the capacitance changes of the system and can predict even very small changes with high accuracy and computational efficiency, as the change is directly evaluated from the electric field in the volume of the foreign object. First, the derivation of the integral formula is presented, then a simple configuration is investigated using the finite element method.
DOMESTIC AND FAMILIAL ISSUES LEADING TOWARDS DIABETES MELLITIUS TYPE – II IN RAWALPINDI

Domestic sphere or domesticity indicates the house, a place where a person can live privately with family. Family is a main unit of a house as well as fundamental institution of society. Families of different or same ethnic groups combine to form a society. Family is considered as a composition of individuals having relationship of marriage, adaption, partnership or friends. The behavior of the family members with each other imparts a great impact on a person's health. When any of the family members receive stress from the family or from any member of family then they can get chronic disease like diabetes type 2. Descriptive methodology has been used for the collection of data including methods of in-depth interview. It is concluded that behavior of family members with each other is responsible for the cure of diseases and good as well as bad health of a person. Keywords: Domestic sphere, Familial issues, Diabetes mellitus type II
Recent Advances in Nano-Therapeutic Strategies for Osteoarthritis

Osteoarthritis (OA) is the most common type of arthritis and the leading cause of disability globally. It tends to occur in middle age or due to an injury or obesity. OA occurs with the onset of symptoms, including joint swelling, joint effusion, and limited movement at a late stage of the disease, which leads to teratogenesis and loss of joint function. During the pathogenesis of this degenerative joint lesion, several local inflammatory responses are activated, resulting in synovial proliferation and pannus formation that facilitates the destruction of the bone and the articular cartilage. The commonly used drugs for the clinical diagnosis and treatment of OA have limitations such as low bioavailability, short half-life, poor targeting, and high systemic toxicity. With the application of nanomaterials and intelligent nanomedicines, novel nanotherapeutic strategies have shown more specific targeting, prolonged half-life, refined bioavailability, and reduced systemic toxicity, compared to the existing medications. In this review, we summarized the recent advancements in new nanotherapeutic strategies for OA and provided suggestions for improving the treatment of OA.
Development of an Oriented Co-Culture System Using 3D Scaffolds Fabricated via Non-Linear Lithography

Damage in the Peripheral Nervous System (PNS) is related to numerous neurodegenerative diseases and has consequently drawn the attention of Tissue Engineering (TE), which is considered a promising alternative to already established methods such as surgery and autografts. TE focuses on the design, optimization, and use of scaffolds in vitro and in vivo. In this work, the authors used a novel scaffold geometry fabricated via Multiphoton Lithography (MPL), a commonly used fabrication method, for the mono- and co-cultures of glial Schwann (SW10) and neuronal Neuro-2a (N2a) cells. Both cell types have already been used for the study of various neurodegenerative diseases. However, their focus has been on only one of the cell types at a time, with studies regarding their co-culture only recently documented. Here, the suitability of the fabricated scaffolds has been explored and the effects of topography on SW10 and N2a behavior have been investigated. Our findings demonstrate that scaffold co-culture systems favor the presence of neurites compared to mono-cultures at 21 days (31.4 ± 5.5% and 15.4 ± 5.4%, respectively), while there is also a significant decrease in long neurites in the mono-culture over time (45.3 ± 15.9% at 7 days versus 15.4 ± 5.4% at 21 days). It has been shown that the scaffolds can successfully manipulate cell growth, elongation, and morphology, and these results can form a basis for the development of an experimental model for the study of PNS-related diseases and understanding of key cell functions such as myelination.
Three Decades of Research on Individual Teacher-Child Relationships: A Chronological Review of Prominent Attachment-Based Themes

Attachment theory has played a prominent role in the study of affective relationships between teachers and individual children in school settings. This review synthesizes three decades of attachment-based research on teacher-child relationships roughly covering the period between 1992 and 2022. Five key themes were discussed: (1) conceptualization and assessment, (2) secure base and autonomous exploration, (3) safe haven and self-regulation, (4) attachment history and relationship (dis)continuity, and (5) teacher sensitivity and mentalization. Following a narrative review approach, a selection of pivotal research studies was made and chronologically presented to illustrate research developments per theme. The results indicated that the conceptualization and assessment of teacher-child relationships holds largely, but not completely, across different developmental phases, cultural contexts, measurement methods, and informants. In addition, research confirmed the role of the secure base and safe haven functions of teacher-child relationships in promoting children’s emotional security at school. Furthermore, progression has been made through the development of multiple measurement methods for both teachers and children, by expanding research from early childhood education up to secondary education, and by more recent cross-cultural studies. However, there is still limited insight in mechanisms that explain (dis)continuity in relationships over time, and a striking lack of research on dyadic teacher sensitivity and mentalization as antecedents of teacher-child relationships. Research directions for the following decade(s) of research are discussed per theme.
Practicando el silencio: intervención educativa en la reducción del ruido en la Unidad de Cuidados Intensivos

: The objective of this study was to evaluate whether the sound pressure levels are decreased in the ICU after an educational intervention with the multidisciplinary team. Noise levels were measured inside the ICU (using a decibelimeter installed near the bedside of a patient) for seven days, and repeated the procedure after an educational intervention, which consisted of lectures, posters and dramatizations, among others. There was a large reduction in noise level between the pre and postintervention period, at all times evaluated. The main sources of noise in the ICU were the own team. The noise levels were higher than recommended. The study showed that with an educational intervention with the ICU staff and their awareness of the mechanisms and effects, it is possible to have reduced levels of noise and consequent estresse environment.
Yoga Based Non-Pharmacological Approach in the Management of Glycemic Control and Associated Metabolic Disorders: A Review Article

Yoga attempts to harmonize and balance the body, mind, and emotions. Yoga incorporates particular physical postures, breathing methods, relaxation, and meditation to help the body's mental and physical wellness. Based on data from several clinical trials, we briefly summarize the function of various yoga practices in the management of glycemic control and associated metabolic disorders in this review. We searched numerous databases and checked the bibliographies of pertinent review papers and all recognized publications to find qualified studies. Medication alone is not enough for most people to achieve glycemic control; various healthy habits, including nutrition, frequent physical exercise, and stress management, must also be addressed. Yoga practice has been shown to improve glycemic control by reducing stress and other self-care activities. Yoga as a mindfulness practice may be particularly beneficial to those with type 2 diabetes (T2DM). Key words: Yoga, mind, glycemic control, metabolic disorders.
Planning for green infrastructure along the Gulf Coast: an evaluation of comprehensive plans and planning practices in the Mississippi-Alabama coastal region

Rapid expansion and development of urban areas in coastal communities degrades ecosystems and increases vulnerability to natural disasters and the effects of climate change. To minimize these negative impacts, some municipalities have adopted “green infrastructure” planning to protect their cities through greenways, wetlands, and open spaces. This research identifies communities that have engaged in green infrastructure planning in the Mississippi-Alabama coastal region and the roles that plans, planning activities and capacity, and plan implementation play in the process, with the goal of creating more resilient cities. Comprehensive plans are analyzed to assess whether, and the degree to which, they incorporate green infrastructure planning, and a survey and interviews with planners were conducted to understand their planning capacity and experiences. Findings suggest that while green infrastructure planning is integrated into Mississippi-Alabama coastal cities’ comprehensive plans and practices, there are several barriers related to leadership, plan oversight and implementation, collaboration, and resources.
PENGARUH PAJANAN NITROGEN DIOKSIDA (N02) TERHADAP BERAT BADAN LAHIR RENDAH (BBLR), DI KOTA PALEMBANG, PROVINSI SUMATERA SELATAN

ABSTRACT Nitrogen dioxide (NO 2 ) becomes one of primary variables in several studies to determine its effect on the occurence of Infants with Low Birth Weight (LBW). This study aimed to analyze the association of NO 2 exposures in ambient air with the occurrence of babies with LBW in Palembang City using case-control design involving 45 cases and 45 controls. Data of ambient air quality were from the Environment Agency of Palembang including NO 2 and co-pollutants (SO 2 , CO and PM 10 ). Other data were certain information obtained from interview with respondents. Quantitative data were analyzed by chi-square and multiple logistic regressions. The study revealed that NO 2 exposures in ambient air during the first trimester associated with the occurrence of LBW (OR: 2.74: 95% CI: 1.16-6.45). Third trimester pregnancy was also associated with the occurrence of LBW (OR: 6.01: 95% CI: 2.29-15.70). The NO 2 exposures in ambient air in the third trimester of pregnancy was the variable that mostly affects the babies with LBW after controlled by the CO and PM 10 exposures at first trimester; the exposures of SO 2, CO and PM 10 at second trimester; concomitant diseases during pregnancy; mother’s age at the time of pregnancy; mother’s nutritional status during pregnancy; second-hand tobacco smoke; and exposures of indoor air pollution during pregnancy (OR: 11.51; 95% CI: 2.02- 65.79) . Keywords: N itrogen dioxide, LBW, third trimester pregnancy, air pollution A BSTRAK Nitrogen dioksida (NO 2 ) menjadi salah satu variabel utama dalam beberapa penelitian untuk mengetahui pengaruhnya terhadap kejadian Berat Badan Lahir Rendah (BBLR). Penelitian ini bertujuan untuk menganalisis hubungan pajanan NO 2 di udara ambien dengan kejadian BBLR di Kota Palembang. Disain penelitian adalah studi case control dengan jumlah sampel 45 kasus dan 45 kontrol. Konsentrasi NO 2 dan co-pollutant (SO 2 , CO dan PM 10 ) merupakan data sekunder yang bersumber dari hasil pengukuran kualitas udara oleh Badan Lingkungan Hidup (BLH) Kota Palembang. Variabel lainnya merupakan data primer yang diperoleh dengan cara wawancara. Data dianalisis menggunakan uji chi-square dan uji regresi logistik ganda. Pajanan NO 2 di udara ambien pada trimester pertama kehamilan berhubungan dengan kejadian BBLR (OR: 2,74; 95% CI: 1,16 -6,45). Trimester ketiga kehamilan juga berhubungan dengan kejadian BBLR (OR: 6,01; 95% CI: 2,29 -15,70). Pajanan NO 2 di udara ambien pada trimester ketiga kehamilan merupakan variabel yang paling mempengaruhi BBLR setelah dikontrol oleh variabel pajanan CO dan PM 10 pada trimester pertama; pajanan SO 2, CO dan PM 10 pada trimester kedua kehamilan; penyakit penyerta saat hamil; umur ibu saat hamil; status gizi ibu saat hamil; pajanan asap rokok saat hamil; dan pajanan polusi udara dalam ruangan selama kehamilan (OR: 11,51; 95% CI: 2,02 - 65,79). Kata kunci : Nitrogen dioksida, BBLR, trimester kehamilan ketiga, polusi udara
Assessment and comparison of cognitive function tests in abacus trained and untrained students aged 8-12 years in the South-Indian population

Introduction and Aim: During childhood period, cognitive decline could manifest as learning disability. Cognitive abilities, which have a strong relationship with synaptic plasticity an amazing property of the brain is mandatory for the growing demands and challenges. Our study focuses on the effect of memory tasking (abacus training) on cognitive abilities in children. The aim of the study is to assess the cognitive functions of children who had undergone level one abacus training in the age group of 8-12 years and to compare the cognitive functions between children trained and untrained in abacus. Materials and Methods: The study was approved by ICMR-STS 2018 and institutional ethics committee. It was conducted in children aged 8-12 years, who were age and BMI matched and were untrained and trained in abacus level one, between June-July 2018. Seventy participants, majority being females (fourth-fifth standard), were recruited from a school in Puducherry. Anthropometric indices were recorded, and baseline cognitive parameters were assessed by MoCA. Results: The total median scores for MoCA were 28 (27-29) and 26 (23-28) in study and control groups respectively (p=0.016). Values for trail making test A was 44.89 sec (study group), 56.20 sec (control group) (p=0.04) and trail making test B was 94.7 sec (study group) and 125.3 sec (control group; p=0.03) respectively. In letter cancellation test, the scores were 31.8(study group) and 31 seconds (control group; p=0.019). Conclusion: Abacus training improves all three domains of cognition and learning abilities in children.
Consideration of Offensive and Defensive Metrics for Fighter Aircraft Agility

The evolution of air-to-air combat has led to the need for criteria used to define and measure aircraft agility. Previously suggested agility definitions and metrics are examined, and the potential for metrics that would be more beneficial to pilots in particular offensive or defensive positions is discussed. Possible follow-up studies to expand the understanding of agility and its contribution to the battle space are presented.
Systematic Engineering of Metal Ion Injection in Memristors for Complex Neuromorphic Computing with High Energy Efficiency

Neuromorphic electronics attract significant attention as a new computing architecture. Despite much effort for achieving practical neuromorphic systems, it is still challenging to construct a synapse array ideal for complex neural networks. Herein, a novel strategy for developing a highly integrated crossbar array of a one‐selector–one‐memory (1S–1R) synapse by systematically engineering ion injection is demonstrated. In the proposed synapse, an electrochemical metallization (ECM) memristor consisting of unstable filaments and a typical ECM device with stable filaments act as a selector with a low leakage current and a stable memory device, respectively. To overcome the voltage‐matching issues in constructing the 1S–1R synapse with high integration density, ion injection related with the electrical properties is optimized in the ECM devices via the distribution of active metal nanoparticles at the interface. The developed synapse possesses a high on/off ratio, superior selectivity, low operating current, and stable multilevel conductance, compared to the previously reported devices. High feasibility for complex neuromorphic systems is demonstrated, and the neural network based on the developed synapse array exhibits reliable parallel computation with high energy efficiency. This promising concept of realizing complex neuromorphic electronics is a fundamental building block for the practical artificial intelligence.
PointpartNet: 3D point-cloud registration via deep part-based feature extraction

This paper proposes a deep learning model for point cloud registrations of different sizes. 3D point clouds play a very important role in various fields. They have been widely studied, and recently deep learning has also started to deal with point clouds. PointNet was the first deep learning model for point cloud classification and semantic segmentation. Since then, methods based on PointNet for tasks like point cloud registration have also been proposed. However, these methods are only suitable for identical or nearly identical point clouds. However, in practice, the sizes of point clouds vary depending on the capture distance, sensor type, the environment, and many other factors. Therefore, it is often the case that point clouds that need to be registered are of very different sizes. For example, point clouds captured in the same environment by an omnidirectional LiDAR and an RGB-D camera will have very different sizes. Conventional methods cannot cope with such situations. In this paper, we propose ‘PointpartNet', a new deep neural network based on partial feature extraction. This network enables feature extraction of partial point clouds by partitioning the point clouds. It uses the features of partial point clouds to search for matching regions between point clouds of different sizes. This makes it capable of registering point clouds of different sizes. In qualitative experiments, we demonstrate its high robustness and accuracy for point cloud registration of different sizes in comparison to previous research. GRAPHICAL ABSTRACT
Solid-State Construction of CuOx/Cu1.5Mn1.5O4 Nanocomposite with Abundant Surface CuOx Species and Oxygen Vacancies to Promote CO Oxidation Activity

Carbon monoxide (CO) oxidation performance heavily depends on the surface-active species and the oxygen vacancies of nanocomposites. Herein, the CuOx/Cu1.5Mn1. 5O4 were fabricated via solid-state strategy. It is manifested that the construction of CuOx/Cu1.5Mn1. 5O4 nanocomposite can produce abundant surface CuOx species and a number of oxygen vacancies, resulting in substantially enhanced CO oxidation activity. The CO is completely converted to carbon dioxide (CO2) at 75 °C when CuOx/Cu1.5Mn1. 5O4 nanocomposites were involved, which is higher than individual CuOx, MnOx, and Cu1.5Mn1. 5O4. Density function theory (DFT) calculations suggest that CO and O2 are adsorbed on CuOx/Cu1.5Mn1. 5O4 surface with relatively optimal adsorption energy, which is more beneficial for CO oxidation activity. This work presents an effective way to prepare heterogeneous metal oxides with promising application in catalysis.
Online Self-Directed Learning Module

The lack of dedicated time and standardized education for stroke coordinators focusing on program disease-specific care certification standards has led to undue added stress prior to survey. The purpose of this literature review is to provide staff development educators an alternative method to train stroke coordinators. Findings suggest that online self-directed learning modules are useful in acquiring knowledge, gaining clinical competency, improving confidence, and meeting the learners’ needs and satisfaction.
A secure and efficient data deduplication framework for the internet of things via edge computing and blockchain

Data deduplication can solve the problem of resource wastage caused by duplicated data. However, due to the limited resources of Internet of Things (IoT) devices, applying data deduplication to IoT scenarios is challenging. Existing data deduplication frameworks for the IoT are prone to inefficiency or trust crises due to the random allocation of edge computing nodes. Furthermore, side-channel attacks remain a risk. In addition, after IoT devices store data in the cloud through data deduplication, they cannot share their data efficiently. In this paper, we propose a secure and efficient data deduplication framework for the IoT based on edge computing and blockchain technologies. In this scheme, we propose a model based on parallel use of three-layer and two-layer architectures and introduce the RAndom REsponse (RARE) scheme to resist side-channel attacks. We also design a label tree to realise one-to-many data-sharing, which improves efficiency and meets the needs of the IoT. In addition, we use blockchain to resist collusion attacks. Experiments were conducted to demonstrate that our framework has advantages over similar schemes in terms of communication cost, security and efficiency.
On Some Model Theoretic Properties of Totally Bounded Ultrametric Spaces

Continuing investigations initiated by the first author, we associate relational structures for metric spaces and investigate their model theoretic properties. In this paper, we consider ultrametric spaces. Among others, we show that any elementary substructure of the relational structure associated with a totally bounded ultrametric space X is dense in X. Further, we provide an explicit upper bound for a splitting chain of atomic types in ultrametric spaces of a finite spectrum. For ultrametric spaces, these results improve previous ones of the present authors and may have further practical applications in designing similarity detecting algorithms.