Miracle-dz/UniFAR-FTUs huggingface dataset:
Preserving Resilience for Prevention of Burnout in Anesthesiology Residents as Frontline Healthcare Workers During the COVID-19 Outbreak: A Report of Real-Life Experiences of Professionalism and Mentoring in Medical Education

Objective: During the COVID-19 pandemic, burnout of healthcare workers, including anesthetists, has become a critical issue. This study aimed to provide a practical framework for decreasing and preventing burnout among anesthesiology residents through preserving their good mental health. Materials and methods: Since the onset of the COVID-19 outbreak, anesthesiology residents have been members of medical teams with the attending staff, senior residents, and partner residents. Besides, the following measures were taken to reduce burnout: providing financial support for the attending staff to procure personal protective equipment (PPE), rearrangement of work schedules to reduce the workload, holding training sessions in virtual meetings, and improving the social network system for reducing burnout. Results: The interventional program could help anesthesiology residents to adapt to or cope with the healthcare system status and also prevent burnout. Moreover, development of empathy, integrity, and cohesion in the healthcare system motivated the staff to comply with the principles of medical professionalism. Conclusion: During the current health crisis due to COVID-19, it is essential to implement specific interventional and training programs for decreasing or preventing burnout among healthcare workers.
In situ infrared absorption probing of plasma catalysis: vibrationally-excited species induced Mars–van Krevelen type mechanism

Nonthermal plasma (NTP) assisted catalysis has recently received attention as an attractive technology that can overcome the energy barriers involved in conventional thermal catalysis. It is important to obtain fundamental insight into the synergistic effects arising from interactions between NTP-activated species and catalysis. However, it remains a challenge due to difficulties associated with the in situ characterization of NTP-activated species. In this study, CO was explored in dielectric barrier discharge by applying in situ transmission infrared (TIR) absorption spectroscopy; TIR enables the measurement of the vibrational temperature of CO while observing the surface reaction of excited CO to form intermediates species over wurtzite ZnO. The reaction behavior of activated CO correlates with the vibrational temperature of CO, showing vibrationally-excited CO reacts with lattice oxygen via the Mars–van Krevelen type mechanism; thus leading to higher activity compared with conventional thermal catalysis. This work helps to understand the fundamental chemistry and provides new insight into NTP-activated CO and its catalysis.
Comparison of Routh-Hurwitz and Absolute Stability Criteria in Application to Scaled Telerobotics Systems

본 논문에서는 스케일 텔레 로보틱스 시스템에 Routh-Hurwitz와 Llewellyn의 절대 안정도 기준의 적용에 관한 비교 연구결과를 보인다. 텔레 로보틱스 시스템의 동적 방정식이 주어지고, 시스템의 전달함수는 더 나은 안정도 해석을 얻게 된다. 제어기 이득의 안정적인 마진은 두 가지의 안정도 해석 방법을 통하여 얻을 수 있으며, 본 논문에서 그 결과의 차이를 밝히고 설명했다. 본 논문은 안정도 분석결과를 수치 예제를 통해 증명하는 것으로 결론을 도출한다.
A Higher Intelligibility Speech-Enhancement Algorithm

A higher intelligibility speech-enhancement algorithm based on subspace is proposed. The majority existing speech-enhancement algorithms cannot effectively improve enhanced speech intelligibility. One important reason is that they only use Minimum Mean Square Error (MMSE) to constrain speech distortion but ignore that speech distortion region differences have a significant effect on intelligibility. A priori Signal Noise Ratio (SNR) and gain matrix were used to determine the distortion region. Then the gain matrix was modified to constrain the magnitude spectrum of the amplification distortion in excess of 6.02 dB which damages intelligibility much. Both objective evaluation and subjective audition show that the proposed algorithm does improve the enhanced speech intelligibility.
Experimental Identification of a Flow Orifice Using a Neural Network and the Conjugate Gradient Method

An experimental approach of using a neural network model to identifying a nonlinear non-pressure-compensated flow valve is described in this paper. The conjugate gradient method with Polak-Ribiere formula is applied to train the neural network to approximate the nonlinear relationships represented by noisy data. The ability of the trained neural network to reproduce and to generalize is demonstrated by its excellent approximation of the experimental data. The training algorithm derived from the conjugate gradient method is shown to lead to a stable solution.
Interactions between Sleep Apnea and Coronary Artery Disease on the Incidence of Sudden Cardiac Arrest: A Multi-Center Case-Control Study

Purpose Sleep apnea (SA) is a risk factor for coronary artery disease (CAD), and SA and CAD increase the incidence of sudden cardiac arrest (SCA). This study aimed to investigate the effect of SA on the incidence of SCA and explore the effect of varying degrees of SA with or without CAD on the incidence of SCA. Materials and Methods This prospective multi-center, case-control study was performed using the phase II Cardiac Arrest Pursuit Trial with Unique Registry and Epidemiologic Surveillance (CAPTURES-II) database for SCA cases and community-based controls in Korea. The matching ratio of cases to controls was 1:1, and they were randomly matched within demographics, including age, sex, and residence. The primary variable was a history of SA, and the second variable was a history of CAD. We conducted a conditional logistic regression analysis to estimate the effect of SA and CAD on the SCA risk, and an interaction analysis between SA and CAD. Results SA was associated with an increased risk of SCA [adjusted odds ratio (AOR) (95% confidence interval, CI): 1.54 (1.16–2.03)], and CAD was associated with an increased risk of SCA [AOR (95% CI): 3.94 (2.50–6.18)]. SA was a risk factor for SCA in patients without CAD [AOR (95% CI): 1.62 (1.21–2.17)], but not in patients with CAD [AOR (95% CI): 0.56 (0.20–1.53)]. Conclusion In the general population, SA is risk factor for SCA only in patients without CAD. Early medical intervention for SA, especially in populations without pre-existing CAD, may reduce the SCA risk. ClinicalTrials.gov (NCT03700203)
Diagnostic Study to Assess the Performance of a New Urinary Legionella Antigen Test—A National Study in Three Referral University Hospitals in Austria during 2014–2017

Background: We evaluated the performance of a rapid diagnostic antigen test (Coris) as an index test versus the urinary Antigen ELISA (Bartels) as the reference test. Methods: Prospective diagnostic accuracy study (2014–2017) at three university hospitals in Austria. Results: A total of 996 patients were included in the study. Legionellosis was diagnosed in 49/996 (4.9%) using the reference test. The sensitivity and specificity of the Coris test were 75.5% (95% CI 61.1–86.7%) and 100% (95%CI 99.6–100%), respectively. The PPV was 100% and when using the lower 95% CI limit of the estimate for sensitivity, the resulting PPV was 61.1%. The NPV was 98.7% and the accuracy was 98.8%. The index test showed a PPV > 97% during the period of summer and autumn (May through November) and ≥88% during winter (December through February). The NPV was >97% during all of the periods. The median of the monthly incidence in the general population was 0.1 per 100,000 (IQR 0.1; 0.3). Conclusion: The new rapid test gave a high level of diagnostic accuracy in a rapid fashion. The test can be applied at the bedside by non-laboratory staff.
Model Klasifikasi Berita Palsu Menggunakan Bidirectional LSTM dan Word2vec sebagai Vektorisasi

Secara umum, klasifikasi didefinisikan sebagai metode pembelajaran yang mengklasifikasikan data ke dalam label kelas. Proses klasifikasi tersebut dapat dilakukan pada data structured dan unstructured berdasarkan training data yang telah dilakukan. Penelitian ini melakukan klasifikasi menggunakan data berita yang memiliki label berita fakta dan berita palsu. Proses klasifikasi berita tersebut menggunakan teknik Bidirectional LSTM dan menggunakan arsitektur CBOW pada Word2vec sebagai vektorisasi kata dalam membangun model klasifikasi berita. Ada tiga parameter utama yang digunakan dalam penelitian tugas akhir yaitu embedding size, windows size, dan units bilstm. Optimasi kinerja model akan dilihat dari pengaruh dari ketiga parameter tersebut. Performa model yang dibangun diukur dengan menggunakan metrik evaluasi accuracy, recall, precision, f1- score dan computational time. Hasil penelitian menunjukan bahwa model dengan windows size 3, embedding size 200, dan units 128 memiliki performa terbaik untuk data judul dengan akurasi 79.18%. Sementara untuk data konten model dengan windows size 5, embedding size 300, dan units 256 memiliki performa terbaik dengan akurasi 92.8%.
On the view of stingless bees’ non-honey foods

Abstract There has been a growing interest in non-honey products of stingless bees due to their high medicinal and therapeutic properties. Therefore, meliponiculture opens the opportunity for propolis, bee bread, and bee pollen to enter the commercial market as their therapeutic values are comparable to the honey itself. Among others, propolis and bee bread are of great potential and market demand. They possess high nutritional values and medicinal properties including anticancer, antioxidant, anti-inflammatory, and antimicrobial. This mini-review is aimed to highlight the state-of-the-art of processing and extraction methods, applications, and nutritional values of several stingless bees’ non-honey foods. The current patterns and challenges are discussed to bring insight into future research directions in this field.
Predictive Models of Form Filling

In this paper we investigate predictive models of form filling. A predictive model of form filling aims to reduce the amount of time a user spends filling out a form by predicting the values of fields on the form and using these predictions to make suggestions to the form filler. Existing predictive models ignore both the values of other fields on the form and the values previously entered by users other than the current form filler when predicting the value of a target field. We introduce a novel model of predictive form filling named the Collaborative and Contextually Frequently Used model that utilizes these sources of information. We demonstrate that our model outperforms the existing, standard models of predictive form filling using a real-world collection of forms. We also demonstrate that using the values used by other form fillers can significantly improve the performance of the existing models. Author
Junction formation at the interface of CdS/CuInxGa(1 − x)Se2

The interfacial band alignment and chemical composition at the cadmium sulfide (CdS)/copper indium gallium diselenide (CuInx Ga1−x Se2 : CIGS) heterojunction was investigated by photoelectron spectroscopy. Over the two different interfaces made by either thermal deposition of CdS on a CIGS film or step-by-step etching of a chemical-bath deposited (CBD)-CdS/CIGS film by Ar+ ions, the valence band maximum and conduction band minimum were determined using ultraviolet photoelectron spectroscopy and inverse photoemission spectroscopy, respectively. Concurrently, x-ray photoelectron spectroscopy was used to trace chemical changes across the interface. Both interfaces showed a In-rich and Cu-deficient profile. The thermal deposition of CdS on CIGS induces Cd–Cu intermixing and nonstoichiometric CdS formation associated with a strong band bending and high electron injection barrier. However, the CBD-CdS layer shows a rather sharp interface and negligible electron injection barrier in the conduction band, which will show better solar cell characteristics.
The phonological status of Swedish au and eu: Proposals, evidence, evaluation

Abstract Most modern studies of Swedish phonology take the view that the underlying vowel inventory of Central Standard Swedish comprises nine, rather than seventeen or eighteen, mutually contrasting vowel phonemes. A residual problem of a classic phonological type concerns the borrowed entities, rendered in traditional Swedish orthography as au and eu, whose ‘status in the vowel system is unclear’ (Riad 2014:42). The present paper scrutinizes earlier and current phonological interpretations of these entities, adduces evidence for and against each proposal, and concludes that the case for treating them as phonemic diphthongs /V͡V/, as /VC/-sequences, or as monosyllabic /VV̯/-sequences is weak and that they should in the first place be viewed as underlying heterosyllabic vowel sequences /VV/, subject to a special phonological stipulation valid for a borrowed sub-domain of the lexicon. Typologically, Central Standard Swedish should continue to be subsumed under the category of languages that lack phonological diphthongs.
Surface brightness profiles for five rich star clusters in the Large Magellanic Cloud

Surface brightness profiles are presented for five rich star clusters in the Large Magellanic Cloud (NGC 1783, 1856, 1987, 2107 and 2108), with ages between 10 8 and 10 9 yr. The profiles are well represented by King-like models, and the core radii follow the trend, of increasing core radius with age, found in a previous study. If this trend reveals expansion due to mass loss through stellar evolution, then the new data reinforce the suggestion that the slope of the initial mass function, which determines the rate of expansion, is consistent with the Salpeter value (x = 1.35), and is not in general as steep as x = 2.5
Application of quasi-resonant ultrasonic detectors in the optoacoustic tomography of biological objects

An experimental setup for the in-depth optoacoustic tomography of biological tissues in vitro was constructed on the basis of quasi-resonant ultrasonic detectors with a near-maximal sensitivity. The possibility of probing the boundaries of layers differing by 0.1 cm-1 in respect of the absorption coefficients was demonstrated for optical depths corresponding to the attenuation of the probe radiation by 35 dB when the energy of the latter is 30 mJ. Two-dimensional optoacoustic tomograms were obtained for muscle tissue containing absorbing inhomogeneities of size of the order of 1 mm and located at a depth of several centimetres.
A large Kerr constant polymer-stabilized blue phase liquid crystal

A polymer-stabilized blue phase liquid crystal (BPLC) composite with a large Kerr constant (K∼13.7 nm/V2) is developed and its electro-optic properties characterized. In addition to the reduced operating voltage, this BPLC also exhibits a fast response time (∼1 ms), high contrast ratio (>1000:1), and relatively small hysteresis (<6%). It will undoubtedly accelerate the emergence of BPLC for next-generation display and photonic devices.
Hygiene of housing conditions and proinflammatory signals alter gene expressions in porcine adipose tissues and blood cells

Adipose tissue is an organ with metabolic, endocrine and immune functions. In this tissue, the expressions of genes associated with several metabolic pathways, including lipid metabolism, have been shown to be affected by genetic selection for feed efficiency, an important trait to consider in livestock. We hypothesized that the stimulation of immune system caused by poor hygiene conditions of housing impacts the molecular and cellular features of adipose tissue and that the impact may differ between pigs that diverge in feed efficiency. At the age of 12 weeks, Large White pigs from two genetic lines divergent for residual feed intake (RFI) were housed in two contrasting hygiene conditions (good vs poor). After six weeks of exposure, pigs were slaughtered (n = 36). Samples of blood, subcutaneous (SCAT) and perirenal (PRAT) adipose tissues were collected for cell response and gene expression investigations. The decrease in the relative weight of PRAT was associated with a decline in mRNA levels of FASN, ME, LCN2 and TLR4 (P < 0.05) in pigs housed in poor conditions compared with pigs housed in good conditions for both RFI lines. In SCAT, the expressions of only two key genes (PPARG and TLR4) were significantly affected by the hygiene of housing conditions. Besides, the mRNA levels of both LCN2 and GPX3 were influenced by the RFI line (P < 0.05). Because we suspected an effect of poor hygiene at the cellular levels, we investigated the differentiation of stromal vascular cells isolated from SCAT in vitro in the absence or presence of a pro-inflammatory cytokine, Tumor Necrosis Factor-α (TNF-α). The ability of these cells to differentiate in the absence or presence of TNF-α did not differ among the four groups of animals (P > 0.05). We also investigated the expressions of genes involved in the immune response and lipid metabolism in whole blood cells cultured in the absence and presence of LPS. The hygiene conditions had no effect but, the relative expression of the GPX3 gene was higher (P < 0.001) in high RFI than in low RFI pigs while the expressions of IL-10 (P = 0.027), TGFβ1 (P = 0.023) and ADIPOR2 (P = 0.05) genes were lower in high RFI than in low RFI pigs. Overall, the current study indicates that the hygiene of housing had similar effects on both RFI lines on the expression of genes in adipose tissues and on the features of SCAT adipose cells and whole blood cells in response to TNF-α and LPS. It further demonstrates that the number of genes with expression impacted by housing conditions was higher in PRAT than in SCAT. It suggests a depot-specific response of adipose tissue to the current challenge.
Rice husk ash reinforced natural rubber composites: effect of benzene diazonium salt treatment.

Rice husks are a major agricultural residue with growing volume in Nigeria in recent times owing to the country’s drive for self-sufficiency in rice production. Rice husks have great potential for use as fillers in biocomposites for applications in the manufacture of engineering products. However, the hydrophilic nature of this agricultural residue limits its choice as fillers in biocomposites. This study focused on the modification of the hydrophilic property of rice husks through treatment with benzene diazonium salts in different media (pH levels of 7, 9, 10.5 and 12) to attain the most suitable treatment media for processing rice husks. The treated samples were burned in a furnace at a temperature of 600oC for 6 hours. The compounding of the rice husk ash, CV-60 natural rubber and additives were done on a two-roll mill at a speed ratio of 1:1.25 with rollers temperature of 70oC and cured in a hydraulic press at 130oC for 20 minutes at 2.5 MPa. The composites were developed using rice husk ash as the filler with loadings of 30, 34, 38, 42, 46 and 50 phr. Characterizations and tests carried out include Fourier transform infrared spectroscopy (FTIRS), X-ray fluorescence (XRF), shore A hardness, compressive strength and tensile strength. The composites developed using pH 10.5 treated rice husks yielded the highest silica content and showed better adhesion characteristics. The sample with 42 phr loading gave better mechanical properties with tensile strength, compressive strength, and tensile modulus of 18.5 MPa, 39.72 MPa and 7.87 MPa respectively with a corresponding shore A hardness of 45.32. The rice husk ash filled natural rubber composites can find application in the development of vibration isolation mounts.
Needle-Tract Seeding of Pancreatic Cancer after EUS-FNA: A Systematic Review of Case Reports and Discussion of Management

Simple Summary Needle-tract seeding (NTS) is a rare but serious complication of Endoscopic Ultrasound-guided biopsy of pancreatic adenocarcinoma. Due to its very low incidence, there is lack of evidence about its management. The aim of our systematic review is to deepen the knowledge about this entity and highlight therapeutic approaches. After a systematic search we retrieved 45 cases, plus one from our center. The majority of patients (87.1%) underwent surgical resection of the primary pancreatic tumor, of which only 55.9% received neoadjuvant and/or adjuvant chemotherapy. NTS occurred at a median of 19 months after primary diagnosis, with a secondary surgical approach in 82.4% of patients and a median overall survival of 26.5 months compared to 15.5 months when treated with chemo/radiotherapy. NTS is rare, generally occurs late and might be treated aggressively with good results. As only a low rate of patients developing NTS underwent (neo)adjuvant chemotherapy, one may speculate that it might be protective. Abstract Needle-tract seeding (NTS) has been sporadically reported as complication of Endoscopic Ultrasound (EUS)-guided aspiration (FNA) in pancreatic adenocarcinoma (PDAC). However, the evidence of its treatment and outcome is sparse. Adhering to PRISMA guidelines, we conducted a systematic review of EUS-FNA NTS cases of PDAC and analyzed their management and outcome. Up to September 2022, the search query retrieved forty-five cases plus an unpublished case from our center, for a total of forty-six; 43.6% were male, with a mean age of 68.6 years. Thirty-four patients (87.1%) underwent an initial surgical resection, with only 44.1% and 5.9% undergoing adjuvant and neoadjuvant chemotherapy, respectively, and 5.9% undergoing both. The NTS nodule was mostly located in the posterior gastric wall, developing at a median of 19 months after primary resection; 82.4% underwent surgical resection of the seeding, while for 17.6%, palliative chemotherapy treatment. Follow-up after NTS diagnosis and treatment was reported for only twenty-three patients: when NTS was treated with surgery, the median overall survival was 26.5 months compared to 15.5 if treated with radio/chemotherapy. NTS after EUS-FNA of PDAC occurs late and might be treated aggressively with good results. Interestingly, only a low number of patients developing NTS underwent chemotherapy for the primary cancer, suggesting its possible protective role.
New upper bounds for the problem of maximal satisfiability

Abstract In this paper we present relatively simple proofs of the following new upper bounds: cN , where c < 2 is a constant and N is the number of variables, for MAX-SAT for formulas with constant clause density; 2 K/6, where K is the number of clauses, for MAX-2-SAT; 2 N/6.7 for (n, 3)-MAX-2-SAT. All bounds are proved by the splitting method. The main two techniques are combined complexity measures and clause learning.
Adaptive SmartNIC Offloading for Unleashing the Performance of Protocol-Oblivious Forwarding

The growth of Internet of Things (IoT) has led to the convergence of heterogeneous networking systems powered by various protocols, and consequently the emergence of protocol-independent packet processing based on programmable data plane (PDP) for IoT. In this work, we study how to leverage the hardware acceleration enabled by offloading flow tables to SmartNIC to improve the performance of software PDP switches based on protocol-oblivious forwarding (POF). We design our SmartNIC offloading system (namely, OVS-POF-TC) based on the Linux kernel traffic classification (TC) system and open vSwitch (OVS), extend OVS to enable the installation of POF-based flow tables (POF-FTs) in a SmartNIC, and design a selective offloading mechanism for purposely offloading heavy-load POF-FTs. Our experimental results indicate that OVS-POF-TC offloads and updates POF-FTs timely, supports runtime programmability, and has improved packet processing throughput by $1.52\times $ and $3.82\times $ , when applying POF-FTs with SetField and AddField to packets, respectively. Moreover, to ensure that OVS-POF-TC can offload and replace POF-FTs adaptively, we formulate two mixed-integer linear programming (MILP) models to, respectively, solve the problems of flow placement and flow replacement, and also design time-efficient heuristics for them.