Miracle-dz/UniFAR-FTUs huggingface dataset:
Genomic Analysis of Abnormal DNAM Methylation in Parathyroid Tumors

Background Parathyroid tumors are common endocrine neoplasias associated with primary hyperparathyroidism. Although numerous studies have studied the subject, the predictive value of gene biomarkers nevertheless remains low. Methods In this study, we performed genomic analysis of abnormal DNA methylation in parathyroid tumors. After data preprocessing, differentially methylated genes were extracted from patients with parathyroid tumors by using t-tests. Results After refinement of the basic differential methylation, 28241 unique CpGs (634 genes) were identified to be methylated. The methylated genes were primarily involved in 7 GO terms, and the top 3 terms were associated with cyst morphogenesis, ion transport, and GTPase signal. Following pathway enrichment analyses, a total of 10 significant pathways were enriched; notably, the top 3 pathways were cholinergic synapses, glutamatergic synapses, and oxytocin signaling pathways. Based on PPIN and ego-net analysis, 67 ego genes were found which could completely separate the diseased group from the normal group. The 10 most prominent genes included POLA1, FAM155 B, AMMECR1, THOC2, CCND1, CLDN11, IDS, TST, RBPJ, and GNA11. SVM analysis confirmed that this grouping approach was precise. Conclusions This research provides useful data to further explore novel genes and pathways as therapeutic targets for parathyroid tumors.
Nanoscale Characterization and Impurities of Fused Silica Optical Surfaces

Fused silica is produced by melting high-purity silica and then rapidly cooling it. It has good physical and chemical properties, which also make it the raw material for most components in the optical industry, and is widely used in optical fiber communications, semiconductors, and aerospace. The content of SiO2 in fused silica is as high as 99.995% or more, but some impurities will still be generated during production and processing. The impurity elements of its optical curved surface can induce damage to the fused silica and adversely affect its performance, thereby affecting the performance of the fabricated element. In this paper, the impurities in the nanostructure of the fused silica optical surface are mainly analyzed, and the impurities on the surface are qualitatively and quantitatively analyzed by the characterization methods of secondary ion mass spectrometry (SIMS) and X-ray diffraction analysis, respectively. The main component type and content of impurities were measured. The experimental results have an important impact on the production and preparation of optical components using fused silica as raw materials, which can remove surface impurities in a targeted manner and better utilize the advantages of fused silica materials.
COVID-19 Vaccine Acceptance and Its Determinants in the General Population of Delhi, India: A State Level Cross-Sectional Survey

Objective: To ascertain the COVID-19 vaccination acceptance and the factors contributing to vaccine hesitancy and vaccine confidence in the adult population, and the intention for vaccination of their children. Methods: This cross-sectional analysis reports the ancillary results of a population-based SARS-CoV-2 serosurvey conducted in Delhi, India, from September 24 to October 14, 2021. Data were collected from 20312 adult participants through a multistage sampling method from all the 274 wards in the 11 districts of the national capital territory region. Results: We enrolled 12093 (59.3%) females and 8219 (40.5%) male participants with mean (SD) age of 40.3 (14.6) years. The vaccine acceptance rate in the participants was 67.7% (95% CI 67.1, 68.4), with 6031 (43.8%) having received one dose and 7727 (56.2%) having received two vaccine doses. On adjusted analysis, lack of vaccine acceptance was independently associated with female gender aOR 1.15 (95% CI 1.1, 1.23), younger age-group (18-49 years) aOR 1.85 (95% CI 1.71, 2.0), low educational status aOR 1.88 (95% CI 1.77, 2.0), in those with no history of COVID-19 aOR 1.81 (95% CI 1.69, 1.95), non-healthcare workers aOR 2.1 (95% CI 1.7, 2.53), and in the absence of hypertension comorbidity aOR 1.22 (1.1, 1.38). Lack of awareness of COVID-19 vaccines, including doubts on vaccine efficacy and long-term safety, were primary drivers of vaccine hesitancy in the unvaccinated subgroup. Only 35.6% participants reported a positive intention to vaccinate their children. Conclusions: One in three adults lacked vaccine acceptance. High prevalence of delay in second dose vaccination was also observed.
Monopulse antenna‐pointing system modelling and simulation

Mahdasht Satellite Receiving Station (MSRS) has been using 10 m reflector antenna to communicate with LEO satellite at S-band (2.2–2.3 GHz) and X-band (8–8.4 GHz). Presently, antenna pointing operates in program tracking. Pointing accuracy under program tracking conditions is in the neighbourhood of 0.2°. This is acceptable at S-band, but not enough at X-band. Due to the narrow beamwidth at X-band, it is important to improve pointing accuracy significantly (0.05°). Monopulse antenna tracking is one approach that provides tracking accuracy at high-frequency bands. This study presents mathematical model and simulation of monopulse pointing system using a novel analytic approach. Monopulse error signals are calculated using the proposed model while considering the kinematic equations with the assumption of the Gaussian radiation pattern for reflector antenna. The simulation results are verified by using a real (MSRS antenna) monopulse tracking system in X-band frequency (8.2 GHz). The measurement and simulation results demonstrated the azimuth and elevation pointing errors are valid in 3 dB beamwidth.
Simplified wrist‐worn heart rate sensor using microwave VCO

This Letter presents a novel, wrist-worn heart rate sensor, which is comprised of only a passive resonator and a voltage controlled oscillator (VCO). It is clearly demonstrated that valid heart rate data can be extracted off the DC bias circuit of the VCO, making this sensor one of the simplest of its kind ever reported. Experimental results are shown for successful measurements of the user's heart rate when the VCO was tuned to 2.42 GHz, with a DC bias voltage fluctuation of up to 10 mV representing the heart rate. These results are in agreement with those taken using a commercial optical sensor based heart monitor.
In silico identification of target fetal protein(s) in the development of polycystic ovarian syndrome

Polycystic ovarian syndrome (PCOS) is a multifactorial reproductive disorder mainly affecting ovulating women. Animal studies to date have identified hyperandrogenicity as one of the major causes of PCOS, while estrogen treatment temporarily decreases symptoms. Researchers believe that a high androgen level in a pregnant woman during pregnancy results PCOS-like symptoms in the newborn female baby, which are expressed later during reproductive age. The present work is an in silico analysis of the effect of hyperandrogenicity during fetal ovarian development. An alteration in the level of steroid hormone (androgen, estrogen, progesterone, and testosterone) reportedly affects gonadotropin-releasing hormone (GnRH) secretion and later on the development of ovarian follicles. Nuclear receptors such as DAX-1 (dosage-sensitive sex reversal, adrenal hypoplasia congenital critical region on the X chromosome, gene 1) and steroidogenic factor-1 (SF-1) also affect the level of various sex hormones and ovary formation. Hence, the study was carried out to evaluate the effect of these steroid hormones on the promoter region of KISS1 gene and DAX1 gene apart from the effect of these steroid hormones on the binding of kisspeptin (involved in GnRH secretion) and SF1 protein (involved in DAX1 expression modulation). The study involved molecular modeling of promoter regions of KISS1 and DAX1 gene; kisspeptin and SF1 proteins, followed by molecular dockings studies of these promoter regions and proteins against steroid hormone (androgen, estrogen, progesterone, and testosterone), taken as ligand. The study reflected that both the androgen and progesterone show binding over the TATA box of the KISS1 gene, which can be inferred to possibly regulate its expression and affect GnRH secretion to imbalance hypothalamus-pituitary-gonadal axis. This alteration may further cause an abnormal luteinizing hormone: Follicle-stimulating hormone ratio that may result in abnormal steroidogenesis. The molecular docking studies of SF1 protein against DAX1 promoter region were observed to be better than binding when SF1 protein was complexed with studied steroid hormones. The observations lead to the inference that binding of steroid hormones with SF1 protein lowers the expression of DAX1 gene, as the former is essentially required for DAX1 gene expression, which may result in abnormal ovary development in a female fetus as well as abnormal sex steroids level. Thus, it may be concluded that over-secretion of sex steroids is likely to affect female fetus development and hypothalamus-pituitary-gonads axis to trigger PCOS-like symptoms.
Helicobacter pylori Chronic Gastritis in Children and Adolescents was not Associated with Anaemia

Background: Helicobacter pylori (H. pylori) colonizes the gastric mucosa, leading to chronic inflammation. Epidemiological studies have demonstrated that H. pylori infection is high in areas with a high prevalence of anaemia. Consequently, patients infected with H. pylori are at a higher risk of anaemia. However, the relationship between H. pylori and anaemia remains controversial. Therefore, a study conducted among children with chronic abdominal pain with organic dyspepsia (chronic gastritis due to H. pylori and (or? ) Esophagitis), and a functional disorder (Irritable Bowel Syndrome), will be appropriate. Objective: Compare the prevalence of Anaemia in children and adolescents with chronic abdominal pain, divided into: 1) Non-ulcer dyspepsia associated with H. pylori gastritis. , 2) Dyspepsia associated with chronic Esophagitis, and Irritable Bowel Syndrome. Methods: The study was a single-centre, observational retrospective cohort. Inclusion and Exclusion Criteria. All children must be well categorized with signs and symptoms consistent with chronic abdominal pain and aged between 5-and 18 years. Exclusion criteria: genetic, metabolic, immune, cardiac, hepatic or renal diseases, neurodevelopmental delay, and previous surgery. Laboratory tests were performed for all patients: complete blood cell count, Erythrocyte Sedimentation Rate, urinalysis, stool for ova & parasites, and H. pylori serology. Another diagnostic test was decided at the discretion of the gastroenterology team. The chronic dyspeptic syndrome with non-ulcer dyspepsia associated with H. pylori if they presented both results: the rapid urease test positive and the histological examination of the gastric mucosa confirming the presence of the bacterium. Dyspepsia associated with chronic Esophagitis was based on clinical symptoms/signs and endoscopic and histologic evaluation. Patients with IBS were diagnosed according to Rome Criteria. Results: Three hundred and seven children/adolescents: H. pylori gastritis (154, 50%), Esophagitis (41, 14%), and IBS (112, 36%) were included. There was a non-statistically significant difference in the baseline characteristics (sex, first-born child, age of mothers, age of fathers, crowding index, duration of pain symptoms, headache and limb pain, overweight/obesity and malnutrition) between the three groups. Clinical characteristics demonstrated: H. pylori and Esophagitis have epigastric pain and IBS periumbilical pain. There was a non-statistically significant difference in haemoglobin values and red cell parameters between the three groups in laboratory investigation. The prevalence of anaemia was very low, with no difference between the groups. Urinalysis and stool for ova & parasites were negative in all children. Conclusion: Anaemia was not present in children with chronic abdominal pain, both organic and functional disorders. Age, good nutritional status, good sanitation and hygiene may have contributed to the results in this study.
Low-Complexity Architecture for Cyber-Physical Systems Model Identification

We propose a low complexity architecture for cyber-physical system (CPS) model identification based on multiple-model adaptive estimation (MMAE) algorithms. The complexity reduction is achieved by reducing the number of multiplications in the filter banks of the MMAE algorithm present in the cyber component of the CPS. The architecture has been implemented using FPGA for 16, 32, 64 filter banks as part of position and velocity estimations of autonomous auto-mobile application. It has been found up to 78% reduction in multiplications is possible, which translates to the reduction of 39% lookup tables, 13% FFs, 27% DSPs, and 43% power reduction when compared with the conventional architecture (without multiplications reduction) at 100MHz operating frequency. Furthermore, the proposed architecture is able to identify accurate model of auto-mobile application just within 510 ns, in the presence of external disturbances and abrupt changes.
Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping

Background The COVID-19 pandemic has broad negative impact on the physical and mental health of people with chronic neurological disorders such as multiple sclerosis (MS). Objective We presented a machine learning approach leveraging passive sensor data from smartphones and fitness trackers of people with MS to predict their health outcomes in a natural experiment during a state-mandated stay-at-home period due to a global pandemic. Methods First, we extracted features that capture behavior changes due to the stay-at-home order. Then, we adapted and applied an existing algorithm to these behavior-change features to predict the presence of depression, high global MS symptom burden, severe fatigue, and poor sleep quality during the stay-at-home period. Results Using data collected between November 2019 and May 2020, the algorithm detected depression with an accuracy of 82.5% (65% improvement over baseline; F1-score: 0.84), high global MS symptom burden with an accuracy of 90% (39% improvement over baseline; F1-score: 0.93), severe fatigue with an accuracy of 75.5% (22% improvement over baseline; F1-score: 0.80), and poor sleep quality with an accuracy of 84% (28% improvement over baseline; F1-score: 0.84). Conclusions Our approach could help clinicians better triage patients with MS and potentially other chronic neurological disorders for interventions and aid patient self-monitoring in their own environment, particularly during extraordinarily stressful circumstances such as pandemics, which would cause drastic behavior changes.
Skeletal and soft tissue completeness of the acanthodian fossil record

Acanthodians are a poorly understood paraphyletic grade of extinct Palaeozoic fishes. They play an increasingly prominent role in our understanding of vertebrate evolution as part of the chondrichthyan stem‐group even though their evolutionary history is scarce. The limited preservation of their mostly cartilaginous skeleton largely results in a bias towards isolated remains such as fin spines and scales. Here, we quantify the quality of the acanthodian fossil record by using a variation of the Skeletal Completeness Metric (SCM), an approach that calculates how complete the skeletons of individuals are compared to their theoretical complete skeleton. A novel Soft Tissue Completeness Metric (STCM) is introduced to estimate the percentage of soft body tissue preserved as an alternate measurement of completeness. Completeness scores for >1600 specimens comprising >300 taxa obtained from museum collection visits and literature surveys were assembled into a database. Acanthodian completeness peaks in the Lower–Middle Devonian, Pennsylvanian, and earliest Permian. There is no correlation between acanthodian taxonomic richness and completeness. Acanthodians show a significantly lower completeness distribution than many tetrapod groups, but a similarly low distribution to bats. Skeletons deposited in freshwater are significantly more complete than in marine environments where sea level significantly negatively correlates with observed completeness. Our assessment reveals only weak spatial biases influencing the acanthodian fossil record while environmental biases are much higher. This quantified evaluation of acanthodians provides a foundation for further assessments of the likely influence of character absences from morphological datasets on estimates of early chondrichthyan and, therefore, early gnathostome evolution.
TOURISTIC AND RECREATIONAL POTENTIAL OF MAKHUNTSETI WATERFALL: APPLICATION AND PERSPECTIVES (GEORGIA)

Social-economic development of mountain regions mostly depends on maximum usage of existing resources, which constitutes of urgent issues of contemporaneity. In line with all this the special significance is granted to application of touristic and recreational resources in Georgia, which constitutes the priority trend for sustainable economic development of mountain regions. The work has studied the basic touristic and recreational properties of Makhuntseti Waterfall of Mountainous Adjaria and its place in tourism business development in the region. There is grounded the priority of natural-geographic and social-economic conditions necessary to establish Makhuntseti as a resort. Besides, under complex, unstable natural conditions and in terms of limited resources - the supremacy of tourism among business areas is determined and its further perspectives are established.
Contactless Yagi-patch EMG electrodes design and development for prosthetics

Purpose A contactless electromyography (EMG) electrodes design and development for prosthetics, particularly the Touch Hand 3, was the main objective of this paper. The correlation between EMG electrodes and patch antenna are described, with the problem relating to the dimensions of the covidien electrodes. The purpose of this paper is to improve the signal strength of the EMG electrodes and having them to not be in contact with the skin to cause irritation in the person. Design/methodology/approach A combination of the contact covidien electrodes and aluminium foil was used to develop electrodes that were in a similar configuration than a Yagi antenna. Different layers of patch elements were designed, developed and implemented. Findings Different layers of Yagi-patch electrodes are tested with different volunteers and compared with the average signal strengths obtained from the covidien electrodes. An improvement in signal strength with the Yagi-patch electrodes has been found. Practical implications The purpose of the work was to design, develop and test EMG electrodes that are cost-effective, reusable and able to improve the signal strengths that are recorded, for better functionality of prosthetic devices. Originality/value The integration of EMG and antennae theory to implement a Yagi-patch EMG electrode to improve on signal reception. The electrodes have the properties of being cheap, easy available, can eliminate direct contact and avoiding patches on the skin. Comparison of different layered electrodes with the contactless electrodes close to the skin. Comparison of the different electrodes on a silicone sleeve, which are commonly worn by amputees, placed between the skin and the prosthetic’s socket. Testing the Yagi-patch electrodes with an application with the prosthetic Touch Hand, to allow for the control of a system such as the Touch Hand.
Local and Distributed fMRI Changes Induced by 40 Hz Gamma tACS of the Bilateral Dorsolateral Prefrontal Cortex: A Pilot Study

Over the past few years, the possibility of modulating fast brain oscillatory activity in the gamma (γ) band through transcranial alternating current stimulation (tACS) has been discussed in the context of both cognitive enhancement and therapeutic scenarios. However, the effects of tACS targeting regions outside the motor cortex, as well as its spatial specificity, are still unclear. Here, we present a concurrent tACS-fMRI block design study to characterize the impact of 40 Hz tACS applied over the left and right dorsolateral prefrontal cortex (DLPFC) in healthy subjects. Results suggest an increase in blood oxygenation level-dependent (BOLD) activity in the targeted bilateral DLPFCs, as well as in surrounding brain areas affected by stimulation according to biophysical modeling, i.e., the premotor cortex and anterior cingulate cortex (ACC). However, off-target effects were also observed, primarily involving the visual cortices, with further effects on the supplementary motor areas (SMA), left subgenual cingulate, and right superior temporal gyrus. The specificity of 40 Hz tACS over bilateral DLPFC and the possibility for network-level effects should be considered in future studies, especially in the context of recently promoted gamma-induction therapeutic protocols for neurodegenerative disorders.
STRATEGI PEMERINTAH DAERAH DALAM MENGEMBANGKAN KOTA CERDAS (SMART CITY) MELALUI SMART GOVERNMENT DI KOTA SERANG

ABSTRACT Information technology is indispensable in supporting the running of government. In implementing a smart city in Serang City, there is no special regulation that supports the implementation of this system in Serang City. This study aims to analyze the Serang City Government's strategy in developing a smart city through smart government which has been implemented for five years. The research design used is qualitative using strategic management theory according to David (2019). Data was collected by direct observation, semi-structured interviews with predetermined informants and documentation. The results showed that the lack of budget caused the Serang City Government, in this case Diskominfo, to not be able to develop programs and applications optimally. In addition, the lack of experts in the IT field is also one of the inhibiting factors. There needs to be more support from the Serang City Government, as well as participation from the community to jointly support the development of a smart city in Serang City. Keywords: Management Strategy, Smart City, Smart Government, Information Technology ABSTRAK Teknologi informasi adalah hal yang sangat diperlukan dalam mendukung jalannya pemerintahan. Dalam penerapan smart city di Kota Serang belum adanya regulasi khusus yang mendukung penerapan sistem ini di Kota Serang. Penelitian ini bertujuan untuk menganalisis strategi Pemerintah Kota Serang dalam mengembangkan smart city melalui smart government yang telah diterapkan selama lima tahun. Desain penelitian yang digunakan adalah kualitatif dengan menggunakan teori manajemen strategi menurut David (2019). Pengumpulan data dilakukan dengan cara observasi langsung, wawancara semi terstruktur dengan informan yang telah ditentukan dan dokumentasi. Hasil penelitian menunjukkan bahwa kurangnya anggaran menyebabkan Pemerintah Kota Serang dalam hal ini Diskominfo belum bisa melakukan pengembangan program dan aplikasi secara optimal. Selain itu, kurangnya jumlah tenaga ahli di bidang IT juga menjadi salah satu faktor penghambat. Perlu adanya dukungan lebih dari Pemerintah Kota Serang, serta partisipasi dari masyarakat untuk bersama-sama mendukung perkembangan smart city di Kota Serang. Kata Kunci: Manajemen Strategi, Smart City, Smart Government, Teknologi Informasi