Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustainability Perspectives of Market-Pulled and Crisis-Pushed Corporate Spin-Offs

Are there different wealth effects for Corporate Spin-offs (CSOs) during economic crisis viz non-crisis and do their performance matter? The answer is crucial for market players investment decisions and CSOs research underpinning impact on sustainability. Reviewing predominantly three papers on Malaysian CSOs, inter-alia, other papers globally, there was an explanation gap on the magnitude, speed, significance, and sustainability of CSO wealth in terms of financial market conditions at the timing of CSOs and CSOs’ performance. After remedying event-induced volatility and cross-sectional correlations, wealth effects were analysed using ninety Malaysian CSOs from 1987 to 2019. We found Crisis-pushed CSOs during weak market conditions had dwindling short-term gains implying weak sustainability contrary to Market-pulled CSOs that demonstrated strong sustainable long-term gains. Pushed CSOs achieved adversely -0.81%, and, Positive performance CSOs have earning potential 14.12% compared to Negative performance CSOs with losing potential -16.08%. CSOs' determinants changed when subjected to market-based criteria and performance-based criteria suggested CSOs' wealth effect oblivious to market conditions and performance were not reliable for gauging CSO expectations. Performance-based criteria subsampling revealed that the composition of generalized CSOs return is not positively dominant and have equal potential to gain and risk of loss.
Microwave Digestion and ICP-MS Determination of Major and Trace Elements in Waste Sm-Co Magnets

In this article, inductively coupled plasma mass-spectrometry (ICP-MS) and inductively coupled plasma optical-emission spectrometry (ICP-OES) were used for the development of an analytical procedure for analysis of the waste of Sm-Co magnets. Experimental parameters related to microwave digestion processes and acid concentrations were optimized. Microwave digestion was carried out in mixtures of HF, HCl, HNO3 and H2SO4. The complete dissolution of the samples occurred in the system: 10 mL H2O, 2 mL HNO3, 10 mL HCl and 1 mL H2SO4. The dependence of the matrix effect on the ICP-MS analysis of waste Sm-Co magnets was studied and optimal instrumental parameters were investigated (nebulizer gas flow, sampling depth and potential at the extractor lens). The optimal conditions were a nebulizer gas flow of 0.85–0.90 L/min, a sampling depth of 101, potential at the extractor lens of −400 V and a sample flow rate of 50 rpm. A recovery test and inter-method experiments were performed to verify the accuracy of the proposed method.
SOME NATURAL FLAVONOIDS FROM GUAVA (PSIDIUM GUAJAVA L.) AGAINST SARS COV-2, INSILICO PREDICTION AND DRUGS EVALUATION

Important for an emergency is to find the most potential Hesperidin, Kaempferol-3,4'-di-O-methyl ether (Ermanin); Myricetin-3-glucoside, Peonidine 3-(4’-arabinosylglucoside); Quercetin 3-(2G-rhamnosylrutinoside); and Rhamnetin 3-mannosyl-(1–2)-alloside as a lead compound from guava to develop new drugs from flavonoid analogue. Docking method through iGEMDOCK software was used to design a new lead compound candidate from several flavonoid and study its interaction with of 3CLpro (PDB ID: 7DPU). The docking method were carried out using the iGEMDOCK software version v2.1, also in the chimera-1.13. 1 program is used to know the interaction profile. Druglike properties were calculated using Lipinski’s rule of five as calculated using SWISSADME prediction. Toxicity prediction herein used ADMETSAR webserver (http://lmmd.ecust.edu.cn:8000/predict/). Less toxic and showing greater affinity with a docking score stronger was found in Quercetin, is apart from good pharmacokinetic profile
Power dependence of Klyshko's Stokes-anti-Stokes correlation in the inelastic scattering of light

The Stokes and anti-Stokes components in the inelastic scattering of light are related to phonon statistics and have been broadly used to measure temperature and phonon lifetimes in different materials. However, correlation between the components are expected to change the Stokes/anti-Stokes intensity ratio, imposing corrections to the broadly used Bose-Einstein boson statistics. Here the excitation power dependence of these scattering processes is theoretically described by an effective Hamiltonian that includes correlation between the Stokes and the anti-Stokes events. The model is used to fit available experimental results in three-dimensional diamond and two-dimensional graphene, showing that the phenomena can dramatically increase in the low-dimensional system under specific resonance conditions. This work shows that the Stokes-anti-Stokes correlation has to be considered when using Raman spectroscopy to extract phonon-dependent structural and transport properties of low-dimensional structures, and that graphene can become a new source for correlated photons in quantum optics and information processing.
Posterior Myocardial Infarction in a 45-Year-Old Javanese Woman with a 1-Month History of COVID-19-Related Guillain-Barré Syndrome: A Challenging Emergency Diagnosis

Patient: Female, 45-year-old Final Diagnosis: Isolated posterior ST-segment elevation myocardial infarction (STEMI) Symptoms: Atypical chest pain • a burning sensation in the left chest • radiating to both arms • back and legs Medication: — Clinical Procedure: Primary percutaneous coronary intervention (PCI) Specialty: Cardiology Objective: Challenging differential diagnosis Background: Guillain-Barré syndrome (GBS) is an autoimmune demyelinating disease that affects peripheral nerves and may be associated with nerve pain in the upper limbs and chest. Autonomic dysfunction in GBS can result in electrocardiography (ECG) changes that include T wave inversion, ST segment depression, or ST segment elevation. Recently, GBS was been recognized as a neurological consequence of COVID-19. This report describes the challenge of emergency diagnosis of posterior myocardial infarction (MI) in a 45-year-old Javanese woman who was known to have a 1-month history of COVID-19-related Guillain-Barré syndrome. Case Report: We report the case of a 45-year-old patient who presented to the Emergency Department (ED) with atypical an-gina. She had a history of GBS that started 2 weeks after she developed COVID-19. Since then, she frequently had pain in both legs and occasionally in the chest. Her electrocardiogram revealed subtle ST segment depression in the anteroseptal leads (V1–V4), along with ST segment elevation in the posterior leads (V7–V9). Cardiac marker (troponin I) was elevated and posterior regional wall motion abnormality was present on an echocardiogram. Coronary angiography revealed total occlusion of the first diagonal branch of the LAD, followed by deployment of drug-eluting stents to achieve good angiographic results. The patient was diagnosed with GBS and isolated posterior ST segment elevation myocardial infarction. Conclusions: This report shows the importance of performing standard cardiac investigations for myocardial ischemia or infarction in patients known to have Guillain-Barré syndrome so that the patient can be treated appropriately and urgently to ensure the best possible outcome.
CLASSIFYING AMERICAN VITICULTURAL AREAS BASED ON ENVIRONMENTAL DATA

Abstract. American Viticultural Areas are wine appellation areas in the United States formally and legally defined by the US Alcohol and Tobacco Tax and Trade Bureau (TTB) through a petition process and are used in marketing wine. The TTB’s petition process is intended to define areas containing unique environmental conditions. In this paper, I investigate how similar AVA boundaries are in their environmental characteristics though a hierarchical cluster analysis, using the environmental variables required to be described in the petition process. The AVAs fell into six groups, driven largely by their physical features such as topography, elevation, or location on a coastline, rather than into geographic clusters.
Groove Pancreatitis: A Case Report and Review of a Hidden Type of Chronic Pancreatitis

Groove pancreatitis is a chronic type of segmental or focal pancreatitis seen to affect the groove, which is the region between the head of the pancreas, the duodenum, and the common bile duct. Despite its incidence remaining unknown, it accounts for 2.7% to 24.5% of pancreaticoduodenectomies performed for chronic pancreatitis. A diverse etiology has been implicated but the exact cause is yet to be identified. As it closely mimics pancreatic malignancy and remains mostly undiagnosed preoperatively, many patients often end up undergoing a pancreaticoduodenectomy. Awareness of this entity and early diagnosis will help us address this issue with more conservative measures than by resorting to a morbid procedure such as a pancreaticoduodenectomy. We report a case of a 50-year-old male, a chronic alcoholic, with a two-year history of upper abdominal pain, postprandial vomiting, and weight loss. An abdominal contrast-enhanced computed tomography (CECT) scan was suggestive of either a pancreatic malignancy or a possibility of groove pancreatitis. However, postoperative histopathological examination confirmed the lesser known groove pancreatitis. Here, we review the clinical, radiological, and pathological characteristics of groove pancreatitis, as its diagnosis and management still pose a challenge.
On the importance of collective excitations for thermal transport in graphene

We use equilibrium molecular dynamics (MD) simulations to study heat transport in bulk single-layer graphene. Through a modal analysis of the MD trajectories employing a time-domain formulation, we find that collective excitations involving flexural acoustic (ZA) phonons, which have been neglected in the previous MD studies, actually dominate the heat flow, generating as much as 78% of the flux. These collective excitations are, however, much less significant if the atomic displacements are constrained in the lattice plane. Although relaxation is slow, we find graphene to be a regular (non-anomalous) heat conductor for sample sizes of order 40 μm and more.
Analysis of Recruitment and Selection Quality Improvement on The Indonesian National Armed Forces Personnel: A Case Study of The Garuda Task Force in MINUSCA

Peacekeeping-related research has increased in the last two decades as the number and complexity of peacekeeping operations, and the associated resource commitments have increased. However, studies investigating recruitment and selection issue remains understudied. Indonesia is known as a contributing country that deploys uniformed personnel as peacekeepers and serves under the banner of the United Nations. Efforts to ensure competent peacekeeping forces can be carried out through an objective recruitment and selection process. By reviewing the literature, this article aims to analyze the improvement of the quality of recruitment and selection of the personnel of the Garuda Task Force, particularly the Multidimensional Integrated Stabilization Mission in the Central African Republic (MINUSCA). The results show the need to improve the quality of recruitment and selection of TNI personnel starting from the planning stage, vacancy announcement, to the selection stage, which consists of potential screening candidates, and selection interviews. In order to improve the recruitment and selection process, it is necessary to pay attention to the key factors both from the perspective of the employer and the candidate.
The Presence of PDL-1 on CD8+ Lymphocytes Is Linked to Survival in Neonatal Sepsis

Sepsis is life-threatening organ dysfunction caused by a dysregulated host response to infection. Neonatal sepsis is the main cause of death in newborns, especially preterm infants. The pathogenesis of sepsis is based on a hyper-inflammatory syndrome combined with an immunosuppressive mechanism in sepsis. This study aimed to find critical parameters that are associated with the outcome of newborns with suspected sepsis. Understanding the association might have clinical relevance for immuno-monitoring, outcome prediction, and targeted therapy. Methods: A total of 210 newborn infants no older than 4 days with suspected sepsis at admission in Karaganda (Kazakhstan) were prospectively enrolled. Blood cultures were incubated, and pathogens in positive cultures were determined by MALDI-TOF. An immunological assay for blood cell components was conducted by flow cytometry with antibody cocktails. The diagnostic criteria for neonatal sepsis were identified by qualified neonatologists and included both clinical sepsis and/or positive blood culture. The analyzed infants were grouped into non-septic infants, surviving septic infants, and deceased septic infants. The results showed that deceased septic newborns had a lower level of CD8+ lymphocytes and higher PDL-1 expression in comparison with surviving septic newborns. PDL-1 expression on CD8+ T cells might play an immunosuppressive role during neonatal sepsis and might be used as a laboratory biomarker in the future.
Investigating Dynamics of the Spinal Cord Injury Adjustment Model: Mediation Model Analysis

Spinal cord injury (SCI) is a severe neurological injury that results in damage to multiple bodily systems. SCI rehabilitation requires a significant focus on improving adjustment to the injury. This paper presents a detailed description of the Spinal Cord Injury Adjustment Model (SCIAM), which clarifies how individuals adjust to SCI and contends that adjustment to SCI is a multifactorial process involving non-linear dynamic adaptation over time. Evidence supporting SCIAM is also discussed. Mediation analyses were conducted to test the mediator dynamics proposed by the model. The analyses tested the relationship between two moderators (self-care and secondary health conditions), mediators (two self-efficacy items and appraisal of quality of life or QoL), and positive versus negative vitality/mental health as outcomes. Results showed that higher self-efficacy and perceived QoL was related to greater independence in self-care and reduced negative impacts of secondary health conditions. This study supported the mediation role of self-efficacy and other appraisals such as perceived QoL in enhancing self-care and buffering the negative impact of health challenges. In conclusion, it is important to employ a holistic model such as SCIAM to conceptualise and increase understanding of the process of adjustment following a severe neurological injury such as SCI.
Astrophysical High-Energy Neutrinos and Gamma-Ray Bursts

High‐energy neutrinos from gamma‐ray bursts (GRBs) have been expected in various scenarios. Many predictions for prompt and afterglow emission were done in the pre‐Swift era. After the launch of Swift, several new discoveries such as flares have allowed us to expect additional new possibilities of high‐energy neutrino emission from GRBs. In this paper, we overview various predictions of GRB neutrino emission, and discuss feature prospects. High‐energy neutrino signals may be detected by future‐coming large neutrino detectors such as IceCube and KM3Net. If detected, they should be very useful to know the nature of cosmic‐ray acceleration sites. It would also help us to reveal the possible connection between ultra‐high‐energy cosmic rays (UHECRs) and GRBs. Finally, we also compare a prediction of GRB neutrinos with several predictions for other sources such as active galactic nuclei (AGN) and clusters of galaxies.
State estimation in Rice/Rayleigh channels using a nonlinear filtering technique

The paper develops a stochastic algorithm for nonlinear state estimation of a Rice/Rayleigh flat-fading channel. The authors adopt a nonlinear filtering (Bayesian) approach whereby the conditional probability densities are represented as a product of a Gaussian function (fading information) and a Tikhonov function (phase drift/Doppler shift information). The resulting algorithm, suitable for carrier recovery in open-loop digital receivers, is hangup-free, has low complexity and shows improved performance with respect to the extended Kalman-Bucy filter. Significant frequency offsets and fast fading channel conditions can be tracked if sub-symbol sampling is used. <<ETX>>
Epilepsy and Language Development in 8–36-Month-Old Toddlers with Tuberous Sclerosis Complex

This paper aimed to assess language development in infants and toddlers with tuberous sclerosis complex (TSC) and epilepsy, which increase the risk of autism spectrum disorder. We assessed language development in 61 patients with TSC at 8–36 months using a standardized Speech Development and Communication Inventory tool. The results showed differences in outcomes due to the duration of the seizures and the number of drugs (pFDR = 0.007 **—pFDR = 0.037 *). Children with TSC with longer epilepsy duration and receiving more antiepileptic drugs have a greater risk of language development delay.
Statistical Analysis on Interlaminar Shear Strength of Nanosilica Addition with Woven Dharbai/Epoxy Hybrid Nanocomposites under Cryogenic Environment by Taguchi Technique

Biocomposites are becoming more popular due to their capacity to replace artificial materials at a lower cost while enhancing environmental responsibility. In contrast, biocomposites have poor mechanical and interface properties. This research is aimed at determining the interlaminar shear strength of composite materials reinforced with Dharbai fibre and nanosilicon powder. The composites were made using a hand lay-up method with the following conditions: (i) weight % of nanosilica filler, (ii) thickness of fibre mat, and (iii) cryogenic treatment period, each at three different levels, to meet the goals mentioned above. The composites were laminated using a traditional hand lay-up method, and their interlaminar shear strength was determined using the ASTM standard. According to a recent study, nanocomposites containing 4% nanoscale silicon and 300 grammes per square metre of woven Dharbai fibre showed the highest interlaminar shear strength after 15 minutes of cryogenic treatment. Fibre content increased the mechanical properties of pure epoxy in general. As the fibre and filler concentrations grew, more energy was required to break the fibre bundles between the matrix and its resin. According to the ANOVA, the cryogenic treatment was the most significant factor, contributing up to 59.58%, followed by woven Dharbai mate, contributing 22.11%, and nanosilicon at 18.30%. SEM is used to investigate the cracked composites’ fractographic examination.
Phonetically Identical Forms can Have Different Phonological Behaviors

There is a lot of research since at least mid-1980s documenting the effect of incomplete neutralization of phonological contrasts. Some researchers have taken this as evidence against traditional formal phonology where categorical phonological representation is assumed. By such way of using phonetic measurement to directly infer phonological representation, two assumptions have been made. First, phonetically different forms should be different in phonology; Second, phonetically identical forms should be identical in phonology. The first assumption has been largely undermined in the case of prosodic words lengthening in Japanese. It has been showed that although lengthened prosodic word has identical phonological behavior with their underlying counterpart in Japanese, their durations are significantly different. As an attempt to oppose the second assumption, the current study investigates Tone 4 Sandhi of Huai’an Mandarin. I show that although Lexically Derived Tone 3 is phonetically indistinguishable from Post-Lexically Derived Tone 3 with regard to F0, their phonological behaviors are different with regard to the ability to trigger another tone sandhi process. F0 is measured since it contains all critical phonetic cues that can distinguish Mandarin tones.
No large scale curvature perturbations during the waterfall phase transition of hybrid inflation

In this paper the possibility of generating large scale curvature perturbations induced from the entropic perturbations during the waterfall phase transition of the standard hybrid inflation model is studied. We show that whether or not appreciable amounts of large scale curvature perturbations are produced during the waterfall phase transition depends crucially on the competition between the classical and the quantum mechanical backreactions to terminate inflation. If one considers only the classical evolution of the system, we show that the highly blue-tilted entropy perturbations induce highly blue-tilted large scale curvature perturbations during the waterfall phase transition which dominate over the original adiabatic curvature perturbations. However, we show that the quantum backreactions of the waterfall field inhomogeneities produced during the phase transition dominate completely over the classical backreactions. The cumulative quantum backreactions of very small scale tachyonic modes terminate inflation very efficiently and shut off the curvature perturbation evolution during the waterfall phase transition. This indicates that the standard hybrid inflation model is safe under large scale curvature perturbations during the waterfall phase transition.
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) replication transcription complex (RTC) is a multi-domain protein responsible for replicating and transcribing the viral mRNA inside a human cell. Attacking RTC function with pharmaceutical compounds is a pathway to treating COVID-19. Conventional tools, e.g. cryo-electron microscopy and all-atom molecular dynamics (AAMD), do not provide sufficiently high resolution or timescale to capture important dynamics of this molecular machine. Consequently, we develop an innovative workflow that bridges the gap between these resolutions, using mesoscale fluctuating finite element analysis (FFEA) continuum simulations and a hierarchy of AI-methods that continually learn and infer features for maintaining consistency between AAMD and FFEA simulations. We leverage a multi-site distributed workflow manager to orchestrate AI, FFEA, and AAMD jobs, providing optimal resource utilization across HPC centers. Our study provides unprecedented access to study the SARS-CoV-2 RTC machinery, while providing general capability for AI-enabled multi-resolution simulations at scale.