Miracle-dz/UniFAR-FTUs huggingface dataset:
Agreement Level Among Online Investors in Indonesian Stock Exchange

Social media such as Twitter is a online platforms to exchange stock information. Many researchers believe that more information about the stock market should reduce volatility. This study aims to see the impact of agreement among investors in the capital market moderated by investor alpha. Is it only considered noise or valuable information? We used data on Twitter to capture agreement among investors and the impact of investor alpha from 2016 to 2021 and analyze 10242 stock-related daily messages using computational linguistics and examine the mechanism leading to an efficient aggregation of information from investor alpha or quality of investment advice based on 60 largest trading volume stock registered in Indonesia Stock Exchange. We used the moderation model PROCESS analysis regression to seek to determine whether the size or sign of the effect agreement among investors in the capital market depends in one way or another on the quality of investor alpha. Our results show that disagreement among online investors positively correlated with volatility and the impact of agreement among investors on volatility in the capital market depends on the quality of investor alpha. In other words, the level of agreement between investors can affect the volatility of the stock market depending on the accuracy of the recommendations given by alpha investors on the stock returns for a period.
Thirty-Day Outcomes of Young and Middle-Aged Adults Admitted with Severe COVID-19 in Uganda: A Retrospective Cohort Study

Background There is scarcity of data regarding young and middle-aged adults hospitalized with severe Corona Virus Disease 2019 (COVID-19) in Africa. In this study, we describe the clinical characteristics and 30-day survival among adults aged 18 to 49 years admitted with severe COVID-19 in Uganda. Methods We reviewed treatment records of patients admitted with severe COVID-19 across five COVID-19 treatment units (CTU) in Uganda. We included individuals aged 18 to 49 years, who had a positive test or met the clinical criteria for COVID-19. We defined severe COVID-19 as having an oxygen saturation <94%, lung infiltrates >50% on imaging and presence of a co-morbidity that required admission in the CTU. Our main outcome was the 30-day survival from the time of admission. We used a Cox proportional hazards model to determine the factors associated with 30-day survival at a 5% level of significance. Results Of the 246 patient files reviewed, 50.8% (n = 125) were male, the mean ± (standard deviation) age was 39 ± 8 years, majority presented with cough, 85.8% (n = 211) and median C-reactive protein (interquartile range) was 48 (47.5, 178.8) mg/L. The 30-day mortality was 23.9% (59/246). At admission, anemia (hazard ratio (HR): 3.00, 95% confidence interval (CI), 1.32–6.82; p = 0.009) and altered mental state (GCS <15) (HR: 6.89, 95% CI: 1.48–32.08, p = 0.014) were significant predictors of 30-day mortality. Conclusion There was a high 30-day mortality among young and middle-aged adults with severe COVID-19 in Uganda. Early recognition and targeted management of anemia and altered consciousness are needed to improve clinical outcomes.
Prognostic Significance of Chromogranin A Expression in the Initial and Second Biopsies in Metastatic Prostate Cancer

Neuroendocrine differentiation (NED) characterized by the expression of neuroendocrine markers, such as chromogranin A (CgA), is frequently observed in advanced prostate cancer (PCa), the prognostic significance of which is still controversial. Here we specifically addressed the issue of the potential prognostic value of CgA expression in advanced-stage PCa patients with distant metastases and its change over time from metastatic hormone-sensitive (mHSPC) to metastatic castration-resistant prostate cancer (mCRPC). CgA expression was assessed immunohistochemically in initial biopsies of mHSPC, as well as in second biopsies of mCRPC in sixty-eight patients, and its correlation with prognosis (together with conventional clinicopathologic parameters) was analyzed using the Kaplan–Meier method and Cox proportional hazard model. We found that CgA expression was an independent adverse prognostic factor for both mHSPC (CgA positivity ≥ 1%, HR = 2.16, 95% CI: 1.04–4.26, p = 0.031) and mCRPC (CgA ≥ 10%, HR = 20.19, 95% CI: 3.04–329.9, p = 0.008). CgA positivity generally increased from mHSPC to mCRPC and was a negative prognosticator. The assessment of CgA expression may help with the clinical evaluation of advanced-stage patients with distant metastases.
Determinants of Debt Policy: Building Construction Firms Listed in Indonesia

The purpose of this study is to analyze the effect of non-debt tax shield (NDTS), firm growth, liquidity, and profit volatility whether simultaneously and/or partially towards debt policy in building construction firms listed on Indonesian Stock Exchange period 2016-2020. This study uses panel data regression with fixed effect model to estimate 60 samples from 12 companies selected through purposive sampling. The results show that NDTS, firm growth, liquidity, and profit volatility simultaneously have a significant effect on debt policy. Partially, firm growth and profit volatility have a positive significant effect on debt policy, while NDTS and liquidity have no significant effect. These findings suggest that Indonesian building construction firms do not consider liquidity and non-debt tax shield as a consideration of increasing or decreasing debt. Moreover, Indonesian building construction firms with strong firm growth and high profit volatility actually have a low proportion of debt.
Luis Ortega‐Paz1 · Salvatore Giordano1,2 · Francesco Franchi1 · Fabiana Rollini1 · Charles V. Pollack Jr.3 · Deepak L. Bhatt4 · Dominick J. Angiolillo1

Antiplatelet agents are among the most frequently used medications in cardiovascular medicine. Although in patients with atherosclerotic disease manifestations, in particular those treated by percutaneous coronary intervention, antiplatelet agents are beneficial for the prevention of ischemic events, they inevitably increase the risk of bleeding. Furthermore, 5–15% of patients treated by percutaneous coronary intervention may need a surgical procedure within 2 years, creating challenges to safe and effective antiplatelet drug management. Importantly, major spontaneous or procedural-related bleedings are associated with increased hospital admission, length, costs, and poor prognosis. Although the effects of other antithrombotic therapies, such as direct oral anticoagulants, can be reversed by approved specific agents, there are no approved reversal agents for any antiplatelet drugs. The fact that many antiplatelet agents, such as aspirin and thienopyridines (i.e., clopidogrel and prasugrel), bind irreversibly to their targets represents a challenge for the development of a drug-specific reversal agent. In contrast, ticagrelor is a non-thienopyridine with a plasma half-life of 7−9 h that reversely binds the P2Y12 receptor producing potent signaling blockage. In 2015, bentracimab (also known as PB2452 or MEDI2452), a neutralizing monoclonal antibody fragment that binds free plasma ticagrelor and its major active metabolite, was identified. This systematic overview provides a comprehensive summary of the drug development program of bentracimab, focusing on its pharmacodynamic, pharmacokinetic, and safety profiles.
Lessons From the Frontlines of the Overdose Crisis: Exploring the Impact of Harm Reduction Policies on the Roles and Responsibilities of First Responders

First responders, including police officers and firefighters, take on the occupational role of responding to community needs during emergencies. While it is acknowledged that their emergency role may change and adapt during large-scale crisis events, this is assumed to be a temporary change that will eventually result in a return to traditional occupational responsibilities. This may be different for public health emergencies, like the overdose crisis, that require a long-term and dynamic response. Moreover, recent policy shifts toward harm reduction policies over prosecution-focused policies may inadvertently change the traditional roles of first responders. Using 30 qualitative interviews with police officers and firefighters in Florida, this study examines how harm reduction policies can influence the occupational roles and responsibilities of first responders and reveals how agencies can mitigate the potential burdens associated with implementing these policy responses. This study found that first responder roles were generally expanding to meet growing community needs which included responding to overdoses. The overdose crisis placed additional burdens on first responders (especially police officers) but shared responsibilities between first response agencies and organizational service expansion could mitigate this burden.
Recurrent Differentiated Thyroid Cancer: The Current Treatment Options

Simple Summary The most appropriate treatment for local/regional recurrent differentiated thyroid cancers (DTC) is surgical excision if feasible, followed by adjuvant radioiodine administration. However, depending on the location or extent of the recurrence, surgical excision may not be possible, thus creating a need for alternative therapeutic interventions to maintain the otherwise excellent prognosis for this disease. In light of the increased incidence of this disease and the plethora of available systemic options, a detailed knowledge of the available treatment options is essential for successful management of recurrent DTC. Abstract Differentiated thyroid carcinomas (DTC) have an excellent prognosis, but this is sometimes overshadowed by tumor recurrences following initial treatment (approximately 15% of cases during follow-up), due to unrecognized disease extent at initial diagnosis or a more aggressive tumor biology, which are the usual risk factors. The possible sites of recurrence are local, regional, or distant. Local and regional recurrences can usually be successfully managed with surgery and radioiodine therapy, as are some isolated distant recurrences, such as bone metastases. If these treatments are not possible, other therapeutic options such as external beam radiation therapy or systemic treatments should be considered. Major advances in systemic treatments have led to improved progression-free survival in patients previously considered for palliative treatments; among these treatments, the most promising results have been achieved with tyrosine kinase inhibitors (TKI). This review attempts to give a comprehensive overview of the current treatment options suited for recurrences and the new treatments that are available in cases where salvage surgery is not possible or in cases resistant to radioiodine.
Model-Based Prediction of the Response to Vascular Filling Therapy

Vascular filling is one of the most frequent interventions in intensive care units. Its expected effect is to increase cardiac output. However, this increase is only observed in approximately 50 % of cases. In addition, excessive vascular filling can lead to deleterious effects, such as pulmonary oedema, which increase length of ventilation, stay, mortality and cost. Clinicians are thus looking for indices to provide a priori knowledge of the effect of vascular filling. This thesis focuses on a mathematical model-based approach to predict the response to vascular filling. Mathematical models are sets of equations representing the behaviour of a given system as, for instance, the cardiovascular system. To understand the concept of vascular filling, basic elements of cardio-vascular anatomy and physiology are presented in the first part of this thesis. Then, further details about vascular filling therapy are given, as well as the current indices used by clinicians to predict its effects. The static indices are easy to obtain, but do not perform well. The dynamic indices, based on cardio-pulmonary interactions, perform better, but are difficult and highly invasive to implement clinically. A new index, total stressed blood volume, also seems to perform well, but is not easy to obtain clinically. This work develops and then uses models of the cardiovascular system to make this parameter available to clinicians. Building on the elements of physiology provided in the first part, the second part of this thesis describes ways to model the components of the cardio-vascular system as lumped elements, such as chambers, valves and resistances. Two models of the cardio-vascular system, comprising respectively three and six chambers, are built from such elements. These two models involve a small number of parameters, including the total stressed volume in the model. The third part of this thesis describes the potential and methods to identify the parameters of the two cardio-vascular system models. Parameter identification aims at finding the parameter values that make model simulations as close as possible to measured data. The available data is thus first described, according to whether it is collected in an experimental laboratory or an intensive care unit. Then, it is mathematically demonstrated that all model parameters can theoretically be identified from data available in an intensive care unit. However,
Surface-wave propagation on coated or uncoated metal wires at millimeter wavelengths

The properties of surface waves guided by an uncoated cylinder of finite conductivity (Sommerfeld wave) or by a perfectly conducting cylinder with a dielectric coating (Goubau wave) have been analyzed theoretically for frequencies in the millimeter and submillimeter wavelength regions. Previous analysis by Goubau for lower frequencies provided the primary basis for this investigation. For wire sizes which provide low loss propagation above about 100 kMc, the approximations used by earlier workers are not sufficiently accurate to provide useful results. More accurate solutions for some of the properties have been obtained for wires of circular cross section by the use of fewer or different approximations. Numerical values have been calculated for attenuation, power-handling ability, and radial extent of the region of principal power flow. The results show that above 70 kMc the significant field extent is reasonable and the attenuation may be orders of magnitude smaller than for rectangular waveguide. Consideration was also given to the problem of surface-wave propagation on wires of elliptical cross section, but in this case the solutions for the field components must normally be expressed in the form of infinite series of products of the radial and angular Mathieu functions. Numerical results are therefore extremely difficult to obtain for elliptical wires.
In Vitro and In Silico Characterization of Curcumin-Loaded Chitosan–PVA Hydrogels: Antimicrobial and Potential Wound Healing Activity

Curcumin has been used in traditional medicine forages. The present study aimed to develop a curcumin-based hydrogel system and assess its antimicrobial potential and wound healing (WH) activity on an invitro and in silico basis. A topical hydrogel was prepared using chitosan, PVA, and Curcumin in varied ratios, and hydrogels were evaluated for physicochemical properties. The hydrogel showed antimicrobial activity against both gram-positive and gram-negative microorganisms. In silico studies showed good binding energy scores and significant interaction of curcumin components with key residues of inflammatory proteins that help in WH activity. Dissolution studies showed sustained release of curcumin. Overall, the results indicated wound healing potential of chitosan–PVA–curcumin hydrogel films. Further in vivo experiments are needed to evaluate the clinical efficacy of such films for wound healing.
EVALUATION OF QUALITY ATTRIBUTES AND STORABILITY OF POMEGRANATE BASED BLENDED DRINK

The present investigation was carried out at Post Graduate Laboratory, Department of Horticulture, School of Agriculture, ITM University, Gwalior (M.P.) India. Fruit based blended RTS beverages and juices are not only rich in essential minerals, vitamins and other nutritive factors but also have a delicious and have a universal appeal. 10 per cent of blend comprising 80 per cent pomegranate juice, 10 per cent Aloe vera gel and 10 per cent ginger juice (T6) was found best on 9point hedonic scale for the preparation of RTS with 13.00 per cent TSS, 0.25 per cent acidity and 70 ppm sodium benzoate than other blend combinations. The TSS, acidity, reducing sugars and total sugars increased whereas, pH, vitamin-C, non-reducing sugar and organoleptic score decreased continuously up to the end of the storage period under ambient temperature (20-28°C). Moreover, it had been found that RTS organoleptically acceptable up to 4 months in polypet bottles without any deterioration.
Machine Learning Modeling of Aedes albopictus Habitat Suitability in the 21st Century

Simple Summary The Asian tiger mosquito, Aedes albopictus, is a highly invasive and adaptive vector of viruses that can cause human diseases, such as dengue, chikungunya, and zika. As climate and socio-economic changes continue, the mosquito’s suitable habitat range is expected to expand, posing a significant threat to global public health. To predict the shifts in the mosquito’s global habitat suitability, we developed an ensemble machine learning model that combines a Random Forest and XGBoost binary classifiers. The model was trained using global vector surveillance data and a collection of climate and environmental constraints. We project a significant expansion of the mosquito’s habitat suitability, with at least an additional billion people at risk of vector-borne diseases by the mid-21st century. A number of highly populated areas of the world, such as the northern parts of the USA, Europe, and India, will be at risk of Ae. albopictus-borne diseases by the end of the century. Our findings highlight the need for coordinated preventive surveillance efforts by local authorities and stakeholders to control the spread of the mosquito and prevent disease outbreaks. Abstract The Asian tiger mosquito, Aedes albopictus, is an important vector of arboviruses that cause diseases such as dengue, chikungunya, and zika. The vector is highly invasive and adapted to survive in temperate northern territories outside its native tropical and sub-tropical range. Climate and socio-economic change are expected to facilitate its range expansion and exacerbate the global vector-borne disease burden. To project shifts in the global habitat suitability of the vector, we developed an ensemble machine learning model, incorporating a combination of a Random Forest and XGBoost binary classifiers, trained with a global collection of vector surveillance data and an extensive set of climate and environmental constraints. We demonstrate the reliable performance and wide applicability of the ensemble model in comparison to the known global presence of the vector, and project that suitable habitats will expand globally, most significantly in the northern hemisphere, putting at least an additional billion people at risk of vector-borne diseases by the middle of the 21st century. We project several highly populated areas of the world will be suitable for Ae. albopictus populations, such as the northern parts of the USA, Europe, and India by the end of the century, which highlights the need for coordinated preventive surveillance efforts of potential entry points by local authorities and stakeholders.
Tapioca starch-based films containing oregano, Vietnamese mint, and curry leaf essential oils for food packaging applications

Sustainable food packaging made from starch is a viable alternative to the usage of petrochemical-based plastics. The incorporation of additives, particularly essential oils, into the starch film can potentially improve the mechanical properties and enhance its functionality. The present work investigated the effects of the incorporation of different types and concentrations (0, 0.25, 0.5, 0.75, and 1%; v/v) of essential oils (EOs) from oregano, Vietnamese mint (VEO), and curry leaf on the mechanical and optical properties of starch films. Additionally, the quality attributes of strawberries wrapped using the films during storage were investigated in terms of weight loss, colour changes, and firmness. It was observed that the incorporation of EOs into the starch films improved the elongation at break, especially at higher concentrations. These films became slightly yellowish and more opaque. Besides, the changes in quality attributes of strawberries wrapped with starch/EOs films were the lowest as compared to the unwrapped strawberries and the strawberries wrapped with starch films. Starch films incorporated with 1% (v/v) VEO were the most effective films due to relatively high flexibility and low stiffness, apart from the ability to decrease the changes in quality attributes of strawberries. To conclude, the starch/EOs films have great potential for food packaging applications.
Shear Thickening Fluid and Its Application in Impact Protection: A Review

Shear thickening fluid (STF) is a dense colloidal suspension of nanoparticles in a carrier fluid in which the viscosity increases dramatically with a rise in shear rate. Due to the excellent energy absorption and energy dissipation of STF, there is a desire to employ STFs in a variety of impact applications. In this study, a comprehensive review on STFs’ applications is presented. First, several common shear thickening mechanisms are discussed in this paper. The applications of different STF impregnated fabric composites and the STF’s contributions on improving the impact, ballistic and stab resistance performance have also been presented. Moreover, recent developments of STF’s applications, including dampers and shock absorbers, are included in this review. In addition, some novel applications (acoustic structure, STF-TENG and electrospun nonwoven mats) based on STF are summarized, to suggest the challenges of future research and propose some more deterministic research directions, e.g., potential trends for applications of STF.
The Effects of High-Intensity Interval Training and Game-Based Training on Junior High School Soccer Player

There was a lack of empirical comparison of the concurrent strength effects of High-Intensity Interval Training and Game-Based Training in the context of youth soccer players. Objective: The main purpose of this study was to examine the effects of those two types of training within six week-period of cardio activities performance characteristics of male junior high school soccer players in Kediri, East Java. Methods: By applying a quantitative approach and experimental research design, this study took 20 male junior high school soccer players with a mean age of 14.5-year-old to fulfill the requirement that the samples were in the youth stage and were accustomed to a training workload and involved in soccer training and matches for at least two years to meet the minimum criteria. The research instruments were the pre-test and post-test to measure the O2max of the research subjects. Results: For 6 weeks, the subjects performed HIIT at close to ~85% of maximal heart rate while the GBT intensity was set at 70-75% of maximal heart rate. The findings implied that students with HIIT were more likely to have a greater heart rate during the study and training to get into the local tournament. Also, sprinting performance increased significantly in both groups from pretest to post-test without any changes in running performance. Conclusion: These findings may become the reference to conduct further research on different characteristics of subjects or other areas of study.