Miracle-dz/UniFAR-FTUs huggingface dataset:
Nontraditional Roles of DNA Polymerase Eta Support Genome Duplication and Stability

DNA polymerase eta (Pol η) is a Y-family polymerase and the product of the POLH gene. Autosomal recessive inheritance of POLH mutations is the cause of the xeroderma pigmentosum variant, a cancer predisposition syndrome. This review summarizes mounting evidence for expanded Pol η cellular functions in addition to DNA lesion bypass that are critical for maintaining genome stability. In vitro, Pol η displays efficient DNA synthesis through difficult-to-replicate sequences, catalyzes D-loop extensions, and utilizes RNA–DNA hybrid templates. Human Pol η is constitutively present at the replication fork. In response to replication stress, Pol η is upregulated at the transcriptional and protein levels, and post-translational modifications regulate its localization to chromatin. Numerous studies show that Pol η is required for efficient common fragile site replication and stability. Additionally, Pol η can be recruited to stalled replication forks through protein–protein interactions, suggesting a broader role in replication fork recovery. During somatic hypermutations, Pol η is recruited by mismatch repair proteins and is essential for VH gene A:T basepair mutagenesis. Within the global context of repeat-dense genomes, the recruitment of Pol η to perform specialized functions during replication could promote genome stability by interrupting pure repeat arrays with base substitutions. Alternatively, not engaging Pol η in genome duplication is costly, as the absence of Pol η leads to incomplete replication and increased chromosomal instability.
THE KEPLER LIGHT CURVE OF THE UNIQUE DA WHITE DWARF BOKS 53856

The faint (g = 16.9) hot white dwarf BOKS 53856 was observed by the Kepler Mission in short cadence mode during mid-2009. Analysis of these observations reveals a highly stable modulation with a period of 6.1375 hr and a 2.46% half-amplitude. The folded light curve has an unusual shape that is difficult to explain in terms of a binary system containing an unseen companion more luminous than an L0 brown dwarf. Optical spectra of BOKS 53856 show a Teff = 34,000 K, log g = 8.0 DA white dwarf. There are few, if any, known white dwarfs in this temperature range exhibiting photometric variations similar to those we describe. A magnetic spin-modulated white dwarf model can in principle explain the light curve, an interpretation supported by spectral observations of the Hα line showing evidence of Zeeman splitting.
HSP27 Interacts with Nonstructural Proteins of Porcine Reproductive and Respiratory Syndrome Virus and Promotes Viral Replication

Heat shock protein 27 (HSP27) is a multifunctional protein and belongs to the small HSP family. It has been shown that HSP27 is involved in viral replication as a cellular chaperone, but the function of HSP27 during porcine reproductive and respiratory syndrome virus (PRRSV) infections remains unexplored. Here, we found that PRRSV replication can induce HSP27 expression and phosphorylation in vitro. HSP27 overexpression promoted PRRSV replication, whereas its knockdown reduced PRRSV proliferation. Additionally, suppressing HSP27 phosphorylation reduced PRRSV replication and the level of viral double-stranded RNA (dsRNA), a marker of the viral replication and transcription complexes (RTCs). Furthermore, HSP27 can interact with multiple viral nonstructural proteins (nsps), including nsp1α, nsp1β, nsp5, nsp9, nsp11 and nsp12. Suppressing the phosphorylation of HSP27 almost completely disrupted its interaction with nsp1β and nsp12. Altogether, our study revealed that HSP27 plays an important role in PRRSV replication.
EQUATION OF STATE AND FREEZING OF GMSA HARD SPHERES

The modified-weighted-density-functional approximation (MWDA) proposed by Denton and Ashcroft, is applied to study the equation of sate and freezing of the hard spheres using the generalized mean spherical approximation (GMSA) direct correlation function (DCF). Because of the attractive tail in the DCF, the perturbation method similar to that introduced by Yoon and Kim is applied. The free energy, freezing parameters and the equation of state of the hard sphere FCC crystal are obtained. The results are compared with some other previous theories and Monte Carlo simulation. Our results are in good agreement with the simulation results.
Analysis of Musculoskeletal Disorder Risk in Cotton Garment Industry Workers

ABSTRACT Work-related musculoskeletal disorders (wMSDs) are common workplace health hazard among sewing, ironing and packing workers, which can be caused by the manual and repetitive work in the garment industry. This research evaluates and categories the risk variables for 63 people took part in the Musculoskeletal Disorders study for garment material protection. The primary goal of this research is to determine the prevalence of Musculoskeletal Disorders (MSDs) and to reduce their risk. The data were gathered using a questionnaire and an observational checklist, and the risk was calculated using the Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA) approach and human postures were captured by camera for analysis. Reported musculoskeletal symptoms occurring in sewing, packing, ironing are lower back pain (50%, 61.5%, 42.5%), knee (30%, 15.3%, 27.5%), wrist pain (20%, 23%, 20%), shoulder pain (40%, 46.15%, 27.5%) and neck pain (40%, 23%, 32.5%), respectively, and ironing workers reported calf pain of 52.5% were the most common sites of pain. It is critical that awkward posture, uncomfortable movements, prolonged standing, and other factors contributed to an increase in worker risk while protecting garments.
High-Frequency (30 MHz–6 GHz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment

A gigahertz (GHz) range antenna formed by a coaxial probe has been applied for sensing cancerous breast lesions in the scanning platform with the assistance of a suction tube. The sensor structure was a planar central layer and a metallic sheath of size of 3 cm2 connected to a network analyzer (keySight FieldFox N9918A) with operational bandwidth up to 26.5 GHz. Cancer tumor cells have significantly higher water content (as a dipolar molecule) than normal breast cells, changing their polarization responses and dielectric losses to incoming GHz-based stimulation. Principal component analysis named S11, related to the dispersion ratio of the input signal, is used as a parameter to identify malignant tumor cells in a mouse model (in vivo) and tumor specimens of breast cancer patients (in vitro) (both central and marginal parts). The results showed that S11 values in the frequency range from 5 to 6 GHz were significantly higher in cancer-involved breast lesions. Histopathological analysis was the gold standard for achieving the S11 calibration to distinguish normal from cancerous lesions. Our calibration on tumor specimens presented 82% positive predictive value (PPV), 100% negative predictive value (NPV), and 86% accuracy. Our goal is to apply this system as an in vivo non-invasive tumor margin scanner after further investigations in the future.
Social Innovation Project and Tourism Lifestyle Entrepreneurship to Revitalize the Marginal Areas. The Case of the via Francigena Cultural Route

ABSTRACT Cultural Routes (CRs) are gaining increasing interest among both researchers and policymakers as an innovative form of sustainable tourism. However, the benefits that the territories crossed by a Route obtained are poorly studied. The aim of this paper is to fill this gap by evaluating the improvements that CRs as social innovation projects (SIP) cause to the local tourism ecosystem. The empirical analysis is based on the case of the Via Francigena (VF), one of the most important in Europe. It emerges the role of activator of community development processes covered by Via Francigena, capable of shaping the communities crossed with particular attention to marginal areas. At the same time, the route seems to stimulate lifestyle entrepreneurship with strong influence of social perspective rather than profit-driven one. The study contributes to increase knowledge about Cultural Routes as SIP, with important managerial implication on local tourism development.
Genome sequencing analysis of a family with a child displaying severe abdominal distention and recurrent hypoglycemia

Germline mutations in PTEN are associated with the PTEN hamartoma tumor syndrome (PHTS), an umbrella term used to describe a spectrum of autosomal‐dominant disorders characterized by variable phenotypic manifestations associated with cell or tissue overgrowth. We report a boy who developed severe progressive abdominal distention due to a dramatic adipose mass from the age of 7 months and developed recurrent hypoinsulinemic hypoglycemia that led to seizures at the age of 4 years.
The Antifungal Antibiotic Filipin as a Diagnostic Tool of Cholesterol Alterations in Lysosomal Storage Diseases and Neurodegenerative Disorders

Cholesterol is the most considerable member of a family of polycyclic compounds understood as sterols, and represents an amphipathic molecule, such as phospholipids, with the polar hydroxyl group located in position 3 and the rest of the molecule is completely hydrophobic. In cells, it is usually present as free, unesterified cholesterol, or as esterified cholesterol, in which the hydroxyl group binds to a carboxylic acid and thus generates an apolar molecule. Filipin is a naturally fluorescent antibiotic that exerts a primary antifungal effect with low antibacterial activity, interfering with the sterol stabilization of the phospholipid layers and favoring membrane leakage. This polyene macrolide antibiotic does not bind to esterified sterols, but only to non-esterified cholesterol, and it is commonly used as a marker to label and quantify free cholesterol in cells and tissues. Several lines of evidence have indicated that filipin staining could be a good diagnostic tool for the cholesterol alterations present in neurodegenerative (e.g., Alzheimer’s Disease and Huntington Disease) and lysosomal storage diseases (e.g., Niemann Pick type C Disease and GM1 gangliosidosis). Here, we have discussed the uses and applications of this fluorescent molecule in lipid storage diseases and neurodegenerative disorders, exploring not only the diagnostic strength of filipin staining, but also its limitations, which over the years have led to the development of new diagnostic tools to combine with filipin approach.
Examination and analysis of residuals: A test for detecting a monotonic relation between mean and variance in regression through the origin

This paper presents a simple and exact test for detecting a monotonic relation between the mean and variance in linear regression through the origin. This test resulted from utilizing uncorrelated Theil-residuals and the Goldfeld-Quandt peak test. A numerical example is provided to elucidate the method. A simulation experiment was performed to compare the empirical power of this test with those of the existing tests.
CREDIT PERFORMANCE IN BANKING IN INDONESIA DURING 2019-2020

In 2020, the Covid-19 pandemic occurred which affected all sectors of the economy. One of them is the banking industry. This study aims to see how the performance of bank credit in Indonesia was before the pandemic and in the early years of the pandemic. This study uses the variables capital adequacy ratio (CAR), operating costs to operating income (BOPO), return on assets (ROA), and loan to deposits ratio (LDR) in measuring non-performing loans (NPL) or non-performing financing ( NPF). This study uses monthly data from conventional and Islamic banking financial reports for 2019 and 2020. Data testing uses the classical assumption test and multiple linear regression tests. The results of testing the classical assumptions state that the data is feasible for regression testing. Furthermore, the results of the study found that all variables namely CAR, LDR, ROA and BOPO simultaneously affected the NPL or NPF variable. Meanwhile, partially, it was found that CAR and LDR were proven to be able to affect NPL or NPF, while ROA and BOPO had no effect on NPL or NPF in Indonesian banks for the past two years.
High-speed charge transfer pinned-photodiode for a CMOS time-of-flight range image sensor

This paper presents a structure and method of range calculation for CMOS time-of-flight(TOF) range image sensors using pinned photodiodes. In the proposed method, a LED light with short pulse width and small duty ratio irradiates the objects and a back-reflected light is received by the CMOS TOF range imager.Each pixel has a pinned photodiode optimized for high speed charge transfer and unwanted charge draining. In TOF range image sensors, high speed charge transfer from the light receiving part to a charge accumulator is essential.It was found that the fastest charge transfer can be realized when the lateral electric field along the axis of charge transfer is constant and this conditon is met when the shape of the diode exactly follows the relationship between the fully-depleted potential and width. A TOF range imager prototype is designed and implemented with 0.18um CMOS image sensor technology with pinned photodiode 4transistor(T) pixels. The measurement results show that the charge transfer time is a few ns from the pinned photodiode to a charge accumulator.
Energy Storage Capacity Optimization for Improving the Autonomy of Grid-Connected Microgrid

To support the autonomy and economy of grid-connected microgrid (MG), we propose an energy storage system (ESS) capacity optimization model considering the internal energy autonomy indicator and grid supply point (GSP) resilience management method to quantitatively characterize the energy balance and power stability characteristics. Based on these, we establish a three-stage coupled model including investment decision, day-ahead operation strategy, and real-time power fluctuation smoothing control. Investment processes solve the balance of ESS investment and internal energy autonomy. Day-ahead operational scheduling mainly solves unit commitment problems in MG, which are constrained by the ESS capacities. For real-time power fluctuation smoothing, we propose a power fluctuation smoothing control strategy, coordinated by ESS and direct load control (DLC), to achieve GSP resilience management. Furthermore, we use Monte Carlo Simulations, stochastic scenario combinations, and uncertainty set to characterize the fluctuations of both supply and demand at the above different stages, respectively. To solve the established model with multi-objective, multi-uncertainties, and multi-stage coupling, a robust counterpart method has been used to convert the uncertainty problem to the deterministic one, and then decomposition-based multi-objective evolutionary algorithm (MOEA/D) to efficiently used to solve the problem. Finally, simulations are conducted to verify the effectiveness of the proposed model.
A Four-Channel Bidirectional D-Band Phased-Array Transceiver for 200 Gb/s 6G Wireless Communications in a 130-nm BiCMOS Technology

This article demonstrates a fully integrated broadband four-channel phased array transceiver, capable of wireless data rates up to 200 Gb/s covering the entire $D$ -band (110–170 GHz). The circuit is developed in a 130-nm SiGe BiCMOS technology, featuring ${f}~_{\text {t}}/{f}~_{\text {max}}$ of 300/500 GHz, and includes localized back-side etching-based ON-chip patch antennas. In both transmit and receive modes, direct up- and down-conversions are performed by in-phase and quadrature mixers driven by a multiplier-by-four local oscillator chain. A bidirectional true time delay circuit, with a resolution of 0.446 ps, which is equivalent to the accuracy of a 4-bit phase shifter, provides the squint-free beam-steering capability. Beam-steering measurements show how the beam can be steered from −45° to 45° in a 7° step. The transceiver achieves a 3-dB baseband bandwidth of 30 and 27 GHz in the transmit and receive modes, respectively. A wireless link demonstration is performed by mounting two chips on printed circuit boards, one in the transmit and one in the receive mode, together with plastic lenses on both sides, at a distance of 15 cm. Hardware-in-the-loop measurements show record data rates of 180 Gb/s with EVM of 12.2% using 16-QAM and 200 Gb/s with 8.3% EVM using 32-QAM. The four-channel transceiver consumes 1.95 and 2.5 W in the receive and transmit modes, respectively, which correspond to power efficiencies of 9.75 pJ/bit in the receiver mode and 12.5 pJ/bit in the transmitter mode.
Optical properties of the magnetic monopole field applied to electron microscopy and spectroscopy

An analytical treatment of the electron’s motion in a magnetic monopole field results in useful expressions for both the lens action and the mirror action of the field. Using an appropriate definition of the magnetic moment of the electron, it is shown that there is an exact conservation of this parameter in the monopole field, implying that the motion is perfectly adiabatic. This property is important when the field is used for directing Auger electrons from a target to a detector; that is, when it is used as a parallelizer in a through‐the‐lens detection scheme. Regarding the monopole field as an electron lens, the image position and magnification are derived for an arbitrary object position. Expressions for both the axial aberrations (chromatic and spherical) and the image aberrations (coma, field curvature, astigmatism, distortion, and transverse chromatic) are derived for an arbitrary number of intermediate images between object and final image. The chromatic aberration turns out to be independent of the number of intermediate images and the spherical aberration decreases slightly with this number. This property is important when an electron beam must be focused to a small probe in a strong magnetic field. It is shown that if a certain combination of deflectors is used in conjunction with the monopole field, an ideal swinging objective lens is obtained: All image aberrations except field curvature disappear. Designs are presented in which the monopole field is used in the objective lenses of a transmission electron microscope and a scanning electron microscope.
Vibrational Dynamics of Isotopically Dilute Nitrogen to 104 GPa

Raman studies to 104 GPa of a ${}^{14}{\mathrm{N}}_{2}$ host with dilute ${}^{15}{\mathrm{N}}_{2}$ and ${}^{14}{\mathrm{N}}^{15}\mathrm{N}$ isotopic species indicate an increase in vibrational coupling with pressure. The lowest frequency branch of the isotopic species ${}^{15}{\mathrm{N}}_{2}$ reaches a plateau around 100 GPa suggesting the onset of bond weakening for molecules located on particular sites. An unusual intensity increase is observed for the isotopic ${\ensuremath{\nu}}_{1}$ guest modes. The phase transitions above 20 GPa appear to involve an increase in the number of inequivalent sites, with possibly subtle changes in the orientational behavior of particular molecules in the pressure range 25 to 50 GPa not readily revealed in recent x-ray diffraction studies.
Spatio-spectral hybrid compressive sensing of hyperspectral imagery

The amount of data typically captured with hyperspectral imaging systems measuring the light reflected by the Earth surface in hundreds or thousands of spectral bands is very large. The huge size of hyperspectral data cube has motivated the development of compressive sensing (CS) techniques for hyperspectral imagery. In this letter, we proposed an efficient CS scheme, spatio-spectral hybrid CS, to fully exploit the high degree of correlation of hyperspectral data based on linear mixture model. The main contribution of this letter lies in (1) rephrasing the CS acquisition of hyperspectral data as a spatial and spectral hybrid random measurement problem and (2) proposing a recovery approach to estimate both the endmember signatures and abundance fractions matrix (and thus the whole data set) from the compressed measurements instead of solving underdetermined problem of standard CS reconstruction. In a series of experiments with real data, we show that the proposed scheme can achieve significant reconstruction performance. In addition, as a by-product, endmember signatures and their corresponding abundance fractions are obtained directly.
Nanoparticle Based Cardiac Specific Drug Delivery

Simple Summary Heart disease is the leading cause of death, globally. Cardiomyocytes in adult mammalian hearts lose their capacity to divide. Therefore, the loss of heart muscles after a heart attack is usually irreversible. Many novel therapies that aim to repair injured myocardium have been reported in the last few decades. In this field, there is an urgent need to develop a targeted drug delivery system that specifically delivers therapeutic agents to injured hearts. Nanoparticles are the most commonly used vehicles for targeted drug delivery in preclinical and clinical studies. Here, we provide the field with a comprehensive review of the latest strategies involving nanoparticle-based cardiac-specific drug delivery for the treatment of heart diseases. Abstract Heart failure secondary to myocardial injuries is a leading cause of death worldwide. Recently, a growing number of novel therapies have emerged for injured myocardium repairment. However, delivering therapeutic agents specifically to the injured heart remains a significant challenge. Nanoparticles are the most commonly used vehicles for targeted drug delivery. Various nanoparticles have been synthesized to deliver drugs and other therapeutic molecules to the injured heart via passive or active targeting approaches, and their targeting specificity and therapeutic efficacies have been investigated. Here, we summarized nanoparticle-based, cardiac-specific drug delivery systems, their potency for treating heart diseases, and the mechanisms underlying these cardiac-targeting strategies. We also discussed the clinical studies that have employed nanoparticle-based cardiac-specific drug delivery.
A Review of Abnormal Behavior Detection in Activities of Daily Living

Abnormal behavior detection (ABD) systems are built to automatically identify and recognize abnormal behavior from various input data types, such as sensor-based and vision-based input. As much as the attention received for ABD systems, the number of studies on ABD in activities of daily living (ADL) is limited. Owing to the increasing rate of elderly accidents in the home compound, ABD in ADL research should be given as much attention to preventing accidents by sending out signals when abnormal behavior such as falling is detected. In this study, we compare and contrast the formation of the ABD system in ADL from input data types (sensor-based input and vision-based input) to modeling techniques (conventional and deep learning approaches). We scrutinize the public datasets available and provide solutions for one of the significant issues: the lack of datasets in ABD in ADL. This work aims to guide new researchers to better understand the field of ABD in ADL and serve as a reference for future study of better Ambient Assisted Living with the growing smart home trend.