Miracle-dz/UniFAR-FTUs huggingface dataset:
Anticancer therapeutic effect of ginsenosides through mediating reactive oxygen species

Dysregulation of reactive oxygen species (ROS) production and ROS-regulated pathways in cancer cells leads to abnormal accumulation of reactive oxygen species, displaying a double-edged role in cancer progression, either supporting transformation/proliferation and stimulating tumorigenesis or inducing cell death. Cancer cells can accommodate reactive oxygen species by regulating them at levels that allow the activation of pro-cancer signaling pathways without inducing cell death via modulation of the antioxidant defense system. Therefore, targeting reactive oxygen species is a promising approach for cancer treatment. Ginsenosides, their derivatives, and related drug carriers are well-positioned to modulate multiple signaling pathways by regulating oxidative stress-mediated cellular and molecular targets to induce apoptosis; regulate cell cycle arrest and autophagy, invasion, and metastasis; and enhance the sensitivity of drug-resistant cells to chemotherapeutic agents of different cancers depending on the type, level, and source of reactive oxygen species, and the type and stage of the cancer. Our review focuses on the pro- and anticancer effects of reactive oxygen species, and summarizes the mechanisms and recent advances in different ginsenosides that bring about anticancer effects by targeting reactive oxygen species, providing new ideas for designing further anticancer studies or conducting more preclinical and clinical studies.
First Insights in the Relationship between Lower Limb Anatomy and Back Squat Performance in Resistance-Trained Males and Females

Identifying key criteria of squat performance is essential to avoiding injuries and optimizing strength training outcomes. To work towards this goal, this study aimed to assess the correlation between lower limb anatomy and back squat performance during a set-to-exhaustion in resistance-trained males and females. Optical motion captures of squat performance and data from magnetic resonance imaging (MRI) of the lower limbs were acquired in eight healthy participants (average: 28.4 years, four men, four women). It was hypothesized that there is a correlation between subject-specific musculoskeletal and squat-specific parameters. The results of our study indicate a high correlation between the summed volume of the hamstrings and quadriceps and squat depth normalized to thigh length (r = −0.86), and a high correlation between leg size and one-repetition maximum load (r = 0.81), respectively. Thereby, a marked difference was found in muscle volume and one-repetition maximum load between males and females, with a trend of females squatting deeper. The present study offers new insights for trainers and athletes for targeted musculoskeletal conditioning using the squat exercise. It can be inferred that greater muscle volume is essential to achieving enhanced power potential, and, consequently, a higher 1RM value, especially for female athletes that tend to squat deeper than their male counterparts.
Achievement of an Intense Cold Fusion Reaction

AbstractIntense neutron generation at a rate of > 108 n/s in cold fusion was achieved when neutron emission “avalanches” were observed as deuterium forcefully penetrated into a large 2-cm-diam × 5-cm-long palladium cathode. A very specific process involving intense charging and discharging of deuterium from the palladium cathode during continuous electrolysis of heavy water, called the “on-off effect,” was discovered. This effect is 10 to 100 times stronger than the ordinary on-off effect of the current. As the palladium absorbed and exhausted the deuterium, the thermal behavior of the palladium was examined in detail. It is concluded that the particular characteristics of palladium and the generation of a huge inner pressure within the palladium are necessary conditions for a cold fusion reaction.Other researchers have used a much smaller palladium cathode than the one used here. They measured only the electrolysis temperature, and not the cathode temperature. Thus, their experiments failed to discover t.
Study Habits of Undergraduate Medical Students in Bangladesh

The study habits of students are the most important factors that influence the performance of students. Poor study habits are considered one of the main causes of students’ academic failure and can have an important impact on their education and their occupational prospect. Currently, no time bound and elaborative research is found to identify the study habits of undergraduate medical students in Bangladesh. This descriptive-type of cross-sectional study was conducted in different medical colleges with the objective to find out the study habits of undergraduate medical students of Bangladesh. It also aimed to find out if there is any difference in study habits between the students with high, average and below-average grade achievers in professional examinations. Data were collected from 586 conveniently selected students from 10 government and 9 private medical colleges of Bangladesh within the period of one year. A pretested semi-structured, self-administered questionnaire was used for data collection. Study habits were assessed in seven domains namely textbook reading, note-taking, memorizing lessons, paying concentration, exam /test preparation, time management, and classroom-related activities. With regards to study habits, it was revealed that undergraduate medical students have an average study habit score in textbook reading (3.54±1.14), note taking (3.33±1.17), memorizing lessons (3.35±1.17), preparation for the test (3.53±1.18), time management (3.40±1.18) and classroom related activities (3.22±1.2) domains. There is a significant difference in study habit score of high grades and below-average grade achievers in professional examinations. This average score of study habits was below our expectations. This study recommended that teachers should make an effort to develop or improve the study habits of medical students by acquainting them with good and poor/ bad study habits. So that students can identify their poor study habits and can take the appropriate remedial measure. Teachers can guide weak students to develop effective study habits so that students’ learning can be enhanced. Bangladesh Journal of Medical Education Vol.14(2) July 2023: 45-55
Bacterial microbiome and physicochemical properties of irrigation water and soil in Chonto type tomato from Boyaca, Colombia

Tomato cultivation ranks fourth in vegetable production in Boyaca. The largest production of Chonto tomato in greenhouses is supplied by the Alto Chicamocha irrigation and drainage district since it is the main agricultural production unit for the department. To investigate the physicochemical conditions of the soil and irrigation water in the crop and bacterial communities associated with the greenhouse Chonto tomato crop, a total of 15 crops of 50×50 m located within the irrigation and drainage district of Alto Chicamocha were analyzed. Soil and irrigation water samples were analyzed and the bacteriome associated with the crop rhizosphere was characterized. From the physicochemical results obtained, we observed a significant relationship between crop attributes, the physicochemical properties of soil, and irrigation water in the different study zones. On the other hand, in the bacterial composition associated with the crop (soil and irrigation water), a relationship was found between the genera Sphingomonas spp. and Sphingobium spp. with crop quality for the different crops evaluated.
Network Topology Tomography

In this work we consider the problem of reconstructing the topology of networks from indirect measurements. A novel algorithm is developed for reconstruction from coocurrence samples—sets of nodes that are known to form a path in the network, but for which the order is unknown. This algorithm outperforms existing algorithms for solving this problem, and is provably optimal in cases where nothing is known a prori about the structure of the network and the signal routing method obeys certain reasonable constraints. The algorithm is efficient in practice, and is found to scale to networks of millions of nodes. The difficultly of network reconstruction from coocurrences is analysed for graphs generated from a variety of random graph models, as well as a number of real world networks. Network structure is found to effect the reconstruction error rate, with scale-free networks resulting in the lowest error. The problem of tree structured coocurrences is also considered. This is the case where the set of nodes in a coocurrence sample form a tree rather than a path in the network. We are not aware of previously published literature on this problem. A restricted form of the problem is proposed, and an algorithm is proposed to solve it. This algorithm can be considered a baseline for other work in this area, as it is simple and computationally efficient. Reconstruction using tree structured coocurrences is found to be harder than for path coocurrences, with higher error rates occurring.
Estimation of average energy consumption of ripple-carry adder based on average length carry chains

We show theoretically that the average energy consumption of a ripple-carry adder is O(W), and the upper bound on the average energy consumption is O(Wlog/sub 2/W), where W is the word-length of the operands. Our theoretical analysis is based on a simple state transition diagram (STD) model of a full adder cell and the observations that the average length of a carry propagation chain is v=2, and the average length of the maximum carry chain is v/spl les/log/sub 2/W. To verify our theoretical conclusions, we use the HEAT CAD tool to estimate the average power consumed by the ripple-carry adder for word-lengths 4/spl les/W/spl les/64. The experimental results show that, for W/spl ges/16, the error in our theoretical estimations is around 15%.
Micromolar Dihydroartemisinin Concentrations Elicit Lipoperoxidation in Plasmodium falciparum-Infected Erythrocytes

Malaria is still the most important parasitic infectious disease. Numerous substances are known to have antimalarial activity; among them, artemisinin is the most widely used one, and artemisinin-based combination therapy (ACT) is recommended for the treatment of Plasmodium falciparum (P.f.) malaria. Antitumor, immunomodulatory, and other therapeutic applications of artemisinin are under extensive study. Several different mechanisms of action were proposed for dihydroartemisinin (DHA), the active metabolite of artemisinin, such as eliciting oxidative stress in target cells. The goal of this study is to monitor the generation of reactive oxygen species (ROS) and lipid peroxidation product 4-hydroxynonenal (4-HNE) by DHA in P.f. -infected human erythrocytes. Checking ROS and 4-HNE-protein adducts kinetics along the maturation of the parasite, we detected the highest level of 4-HNE in ring forms of P.f. due to DHA treatment. Low micromolar concentrations of DHA quickly induced levels of 4-HNE-adducts which are supposed to be damaging. Mass spectrometry identified the P.f. protein cysteine proteinase falcipain-1 as being heavily modified by 4-HNE, and plausibly, 4-HNE conjugation with vital P.f. proteins might contribute to DHA-elicited parasite death. In conclusion, significant 4-HNE accumulation was detectable after DHA treatment, though, at concentrations well above pharmacologically effective ranges in malaria treatment, but at concentrations described for antitumor activity. Thus, lipid peroxidation with consequent 4-HNE conjugation of functionally relevant proteins might be considered as a uniform mechanism for how DHA potentiates antimalarials’ action in ACT and controls the progression of tumors.
Determination of the Enablers and Challenges in the Implementation of Pharmacy-based Antimicrobial Stewardship (AMS) Program in a Level 3 Hospital in Manila

Background and Objectives. Antimicrobial resistance (AMR) is a global public health threat that results from misuse and overuse of antimicrobials. The Department of Health (DOH) institutionalized the Antimicrobial Stewardship (AMS) Program in hospitals, based on the core elements (1) Leadership, (2) Policies, Guidelines, and Pathways, (3) Surveillance Antimicrobial Use (AMU) & AMR, (4) Action, (5) Education, and (6) Performance Evaluation to ensure rational use of antimicrobials and improve patient outcomes. The program implementation will require the involvement of the AMS clinical pharmacist to positively influence the success of the program’s implementation. This study aims to identify the enablers and challenges as perceived by AMS clinical pharmacists in the implementation of an AMS program in a level 3 hospital in Manila. Methods. A quantitative descriptive study design was employed by administering an online 50-item survey questionnaire to AMS pharmacists, who have at least six (6) months of experience as an AMS pharmacist in the hospital. The survey questionnaire was validated by an expert consultant and underwent pre-testing (Cronbach α = 0.983) for acceptable internal consistency. Responses were collated, coded, and analyzed using median values and frequency distributions for each questionnaire item per Department of Health (DOH) Core Element. Items garnering a median of >3.50 up to 5 were considered as perceived enablers, while those ≤3.50 were identified as perceived challenges. Results. Some perceived enablers by the AMS pharmacists include presence of a leader and/or clinician in the AMS team, Information Technology (IT) resource availability, clear roles of AMS pharmacists, readily available hospital AMS guidelines, engagement in AMR and AMU surveillance activities, regular performance of AMS interventions (e.g., IV-to-PO conversion, dose optimization, de-escalation of broad spectrum), regular monitoring and evaluating of prescriptions and prescribing behavior, and continuous education on infection, prevention, and control (IPC) and hygiene. On the other hand, some perceived challenges include insufficient funding, inadequate knowledge in interpreting antibiograms, lack of adequate and specialized training sessions, lack of coordination with medical and nursing staff to ensure timely drug administration and automatic stop order, prescribing of non-Philippine National Formulary (PNF) antimicrobials, lack of time to perform AMS activities, lack of qualified personnel, and lack of hospital management and information technology (IT) support. Conclusion. Empowering AMS clinical pharmacists is vital to addressing the perceived challenges and maximizing the perceived enablers to ensure the successful implementation of the AMS program in the hospital.
Analysis of the Physical and Mental Workload of Nurses with the Implementation of Patient Safety During the Covid-19 Pandemic

The workload of nurses in hospitals encompasses both physical and mental aspects. Physical tasks include tasks such as lifting patients, administering infusions, monitoring vital signs, and administering oxygen, among others. Meanwhile, mental workload involves dealing with job complexity, providing mental and emotional support to patients and their families, especially those undergoing operations or in critical condition, employing specialized skills in patient care, and establishing effective communication with patients and their families. This study aims to examine the physical and mental workload of nurses in relation to the implementation of patient safety during the COVID-19 pandemic at Labuan Baji Hospital in Makassar. The research design employed a quantitative approach with a cross-sectional design, and the study sample consisted of 36 respondents. The objective of this study is to explore the relationship between the independent variables (mental workload and physical workload) and the dependent variable (implementation of patient safety). The study findings reveal a p-value of 0.409 for the relationship between physical workload and the implementation of patient safety, and a p-value of 0.069 for the relationship between mental workload and the implementation of patient safety. In conclusion, this study does not find a significant relationship between physical workload and the application of patient safety in the inpatient ward of Labuan Baji General Hospital in Makassar. Additionally, no significant relationship is observed between mental workload and the implementation of patient safety in the same setting. The results of this study contribute to enhancing understanding of patient safety within hospitals and its association with the workload of nurses.
A comparative study of turbulence models for non-premixed swirl-stabilized flames

ABSTRACT The accuracy of turbulent swirl-stabilized flame simulation strongly depends on the choice of turbulence model. In this study, four 3D unsteady turbulence closures, including large eddy simulation, scale-adaptive simulation, and two detached eddy simulation variants, along with four RANS models, including RNG k−ϵ, SST k−ω, transition SST, and RSM, are examined for moderate- and high-swirl case studies. It is observed that the scale-adaptive simulation provides the most accurate results for almost all variables and both swirl conditions in the reactive flow. Only the 3D unsteady models predict the vortex breakdown bubble and flame attachment state correctly. However, based on our error analysis, the flow and composition fields predicted by the RANS models are in acceptable agreement with the experimental fields, especially the ones of transition SST when higher swirl number cases or minor species concentration are of interest. Moreover, it is concluded that the viscosity ratio criterion is a better measure of the local LES quality than the turbulent kinetic energy ratio, and the accuracy of a hybrid simulation may be much more dependent on the ability of the model to operate close to the RANS mode where the grid resolution is not sufficient for a resolving simulation than the fraction of the resolved kinetic energy. Finally, the propriety of the base (RANS) model of a DES for the application of interest is important, such that DES with realizable k−ϵ outperforms the commonly used DES with SST k−ω model.
Assessment on land use changes and livelihood transition under the hydropower dam construction in Paunglaung Township, Southern Shan Highlands, Myanmar

We examined agricultural land use changes and their impacts on the local livelihoods of upstream farmers after the Paunglaung hydropower dam construction in Myanmar. Landsat and GeoEye images, acquired in 2011 and 2018, were used to detect agricultural land use changes. A marked decrease in agricultural land (5.77% of farmland and 9.64% of swidden) was observed, whereas orchards and plantations were introduced as new farming practices. Using the household survey, the income strategies were categorized by different wealth groups, and the socioeconomic condition was compared among the groups. We also compared the annual household income before and after dam construction. A significant change in income strategies after the dam construction were observed in low‐income households, but not in medium and high‐income households. Local people engaged in diversified livelihood strategies after the dam construction, mainly in relocated villages. Besides, farmland lost due to dam construction caused the significant insufficiency of rice self‐consumption and consequently resulted in greater dependency on the market of rice and their products. This study highlighted land use changes due to dam construction and its impacts on the livelihood of local farmers, contributing to planning the land use and livelihood strategies for affected farmers to ensure their livelihood security.
Preventing Time-Synchronization Attacks on Synchrophasor Measurements of Wide-Area Damping Controllers

The advent of system-wide synchrophasor measurement technologies has empowered modern power grids to deal with large-scale stability issues through the development of wide-area damping controllers (WADCs). The performance of WADCs, however, hugely depends on the accuracy and authenticity of time-synchronization mechanisms, which can be compromised by time-synchronization attacks (TSAs). Aiming to counter such attacks, this article first develops a TSA model that leverages the susceptibility in the time-alignment strategies employed by phasor data concentrators (PDCs) to collect and process the set of phasor measurement unit (PMU) data. From the attacker’s perspective, targeted PMUs and manipulation of their associated timestamps are obtained using a stochastic mixed-integer linear (MIL) model. The presented attack model hinders WADCs from observing dominant low-damping oscillation (DLO) modes by launching an optimal TSA on PMUs. Afterward, to counter the developed TSA, this article proposes a preventive countermeasure by co-optimizing the PMU-PDC data forwarding tree and PDC buffer waiting time. In this countermeasure, the operator’s defense decision variables, that is, the PMU-PDC data forwarding tree and PDC buffer waiting time, are co-optimized to maximize WADC’s modal observability under TSA, while satisfying the latency requirements. The attacker–operator interaction is modeled as a new min-max robust optimization model and solved using a column and constraint generation (C&CG) approach. The impacts of the presented attack and the effectiveness of the prevention countermeasure are evaluated on Two-area Kundur and New England 39-Bus test systems.
Modeling and analysis of vibration of a gold nano-beam under two-temperature theory

Article history: Received 6 July, 2016 Accepted 30 October 2016 Available online 31 October 2016 The present problem deals with the thermo-elastic interaction of a gold nano-beam resonator induced by ramp-type heating under the two temperature theory of generalized thermoelasticity. The governing equations are constructed in the context of two-temperature three-phase-lag model (2T3P) and two-temperature Lord-Shulman (2TLS) model of generalized thermoelasticity. Using the Laplace transform, the fundamental equations have been expressed in the form of a vector-matrix differential equation which is then solved by Eigen value approach and Mathematica software package has been used as a tool. The inversion of Laplace transforms are computed numerically using the method of Fourier series expansion technique. Numerical results for lateral vibration, temperature, displacement, stress, and the strain energy are presented graphically for Lord-Shulman model and also for threephase lag model. A numerical instance of gold nano-beam in femtoseconds scale has been calculated to present the effect of the ramping time parameter on the entire studied field. The effect of two-temperature parameter is also discussed on the physical fields. © 2017 Growing Science Ltd. All rights reserved.
Multi-type ant system algorithm for the time dependent vehicle routing problem with time windows

The time dependent vehicle routing problem with time windows (TDVRPTW) is considered. A multi-type ant system (MTAS) algorithm hybridized with the ant colony system (ACS) and the max-min ant system (MMAS) algorithms is proposed. This combination absorbs the merits of the two algorithms in solutions construction and optimization separately. In order to improve the efficiency of the insertion procedure, a nearest neighbor selection (NNS) mechanism, an insertion local search procedure and a local optimization procedure are specified in detail. And in order to find a balance between good scouting performance and fast convergence rate, an adaptive pheromone updating strategy is proposed in the MTAS. Computational results confirm the MTAS algorithm's good performance with all these strategies on classic vehicle routing problem with time windows (VRPTW) benchmark instances and the TDVRPTW instances, and some better results especially for the number of vehicles and travel times of the best solutions are obtained in comparison with the previous research.