Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactions between Damaged Hair Keratin and Juglone as a Possible Restoring Agent: A Vibrational and Scanning Electron Microscopy Study

Juglone, a quinonic compound present in walnut extracts, was proposed as a restoring agent for hair keratin treated with permanent or discoloration processes. The proposed mechanism of restoration by juglone involves the formation of a Michael adduct between the quinone and the thiol moieties of cysteine residues. To this purpose, the first part of the present paper involved the spectroscopic study of the product of the reaction between juglone and N-acetyl-L-cysteine as a model compound. IR spectroscopy and Scanning Electron Microscopy (SEM) monitored the chemical and morphological variations induced by applying juglone to hair keratin. In order to simulate the most common hair treatments (i.e., permanent and discoloration), juglone was applied to hair that had been previously treated with a reducing agent, i.e., methyl thioglycolate (MT) or with bleaching agents (based on hydrogen peroxide and persulfates) followed by sodium hydrogen sulfite. IR spectroscopy allowed us to monitor the formation of Michael adducts between juglone and cysteine residues: the Michael adducts’ content was related to the cysteine content of the samples. In fact, MT and sodium hydrogen sulfite favored the reduction of the disulfide bonds and increased the content of free cysteine residues, which can react with juglone. SEM analyses confirmed the trend observed by IR spectroscopy since hair samples treated with juglone adopted a more regular hair surface and more imbricated scales, thus supporting the possible use of juglone as a restoring agent for damaged hair keratins.
Learning from Pandemic Periods: Elements of the Theory of Behavioral Transformation

Purpose – This research study develops a theoretical model of behavioral transformation by integrating contextual factors specific to the Covid-19 pandemic into the framework of the Theory of Planned Behavior, amended through the use of elements of the Regulatory Focus Theory. Design/Methodology/Approach – A two-step approach is used to develop a model of behavioral transformation. First, the study analyzes a shift in buyers’ behavioral preferences from offline buying to online buying during the Covid-19 pandemic by conceptualizing barriers and opportunities, and identifying personal characteristics of consumers that foster or create resistance to online buying. Integration of these elements within the Theory of Planned Behavior and Regulatory Focus Theory is used to explain the mechanism of their interactions. Second, building on the model of such situational transformation, a more general model is devised, contributing to the development of the Theory of Behavioral Transformation. Findings and Implications – This study
Debates—Stochastic subsurface hydrology from theory to practice: Does stochastic subsurface hydrology help solving practical problems of contaminant hydrogeology?

While stochastic subsurface hydrology has been tremendously successful in understanding how the spatial variability of hydraulic conductivity affects conservative solute transport in idealized settings, it has gained little impact in practice. This is the case because typical assumptions needed for the derivation of analytical expressions are too restrictive for practical applications and often geologically implausible, small‐scale variation of hydraulic conductivity is by far not the only cause of uncertainty when considering the fate and remediation of pollutants, and the research community has not developed enough methods that can directly be used by practitioners. To overcome these shortcomings, we propose putting more emphasis on providing easy‐to‐use tools to generate realistic realizations of subsurface properties that are conditioned on all data measured at a site, extending the focus from hydraulic conductivity only to all parameters and processes relevant for reactive transport, making use of self‐organizing principles of reactive transport to conceptually simplify the problem, and addressing conceptual uncertainty by stochastic methods.
Comparison of Geochemical Characteristics of Carboniferous and Permian-Triassic Natural Gas in Northeast Shichuan

This paper studies the geochemical characteristics of natural gas in Carboniferous Huanglong Formation and Permian Chanxing Formation-Triassic Feixianguang Formation in the area of Northeast Sichuan.The results show that the natural gas belongs to high-mature dry gas,C2+ content is low,and the natural gas in Permian Chanxing Formation-Triassic Feixianguang Formation is drier than that in Carboniferous Huanglong Formation.The content of non-hydrocarbon gas of Permian Chanxing Formation-Triassic Feixianguang Formation is relatively high ranging 0.1%～77.8% and characterized by high H2S and CO2 contents,but the non-hydrocarbon gas of Carboniferous Huanglong Formation is relatively low and the H2S content is 0.01%～4.8%,most below 0.5%. The distributing characteristics of heavy hydrocarbons(C4—C12) are also obviously different.The carbon stable isotope compositions of CH4 and C2H6 in Permian Chanxing Formation-Triassic Feixianguang Formation are heavier than in Carboniferous Huanglong Formation,and they are distributed positively in Permian Chanxing Formation-Triassic Feixianguang Formation and reversely in Carboniferous Huanglong Formation.
Design of Massive MU-MIMO Symbol-Level Precoding With Low-Resolution DACs via ADMM

In a massive multiuser multiple-input multiple-output (MU-MIMO) downlink communication system, it is observed that the primary power consumption is attributed to high-resolution digital-to-analog converters (DACs). Under the need to build the next generation of low-power mobile communications, we study the low-resolution DACs precoding problem in massive MU-MIMO communication systems. A novel symbol-level precoding technique is developed for the low-resolution <inline-formula><tex-math notation="LaTeX">$b$</tex-math></inline-formula>-bit DACs system where <inline-formula><tex-math notation="LaTeX">$b \geq 2$</tex-math></inline-formula>. Specifically, we first equivalently reconstruct the low-resolution DACs constraints, and then formulate the low-resolution DACs precoding problem as a directly solvable discrete binary optimization problem. By adding a penalty term to relax the discrete binary constraints, the alternating direction multiplier method can effectively solve the problem. In particular, we use an iterative subprocess that directly projects the low-resolution DACs constraints, avoiding the inversion of the quantized precoding signal in the alternating optimization. Furthermore, based on the matrix theory, the proposed algorithm avoids high-dimensional matrix inversion in each iteration, resulting in a reduction in algorithmic complexity. Simulations evaluate the performance of the proposed low-resolution DACs precoding design for different resolutions, where it is shown that using low-resolution DACs can lead to higher power efficiency. In particular, we focus on setup with low-resolution DACs and shows that compared with existing schemes, the proposed algorithm can achieve a performance gain of approximately <inline-formula><tex-math notation="LaTeX">$\text{0.5}\,\text{dB}$</tex-math></inline-formula> in the 3-bit DACs case. We further analyze the convergence and computational complexity of the algorithm and verify it through simulation.
The Dual Roles of Activating Transcription Factor 3 (ATF3) in Inflammation, Apoptosis, Ferroptosis, and Pathogen Infection Responses

Transcription factors are pivotal regulators in the cellular life process. Activating transcription factor 3 (ATF3), a member of the ATF/CREB (cAMP response element-binding protein) family, plays a crucial role as cells respond to various stresses and damage. As a transcription factor, ATF3 significantly influences signal transduction regulation, orchestrating a variety of signaling pathways, including apoptosis, ferroptosis, and cellular differentiation. In addition, ATF3 serves as an essential link between inflammation, oxidative stress, and immune responses. This review summarizes the recent advances in research on ATF3 activation and its role in regulating inflammatory responses, cell apoptosis, and ferroptosis while exploring the dual functions of ATF3 in these processes. Additionally, this article discusses the role of ATF3 in diseases related to pathogenic microbial infections. Our review may be helpful to better understand the role of ATF3 in cellular responses and disease progression, thus promoting advancements in clinical treatments for inflammation and oxidative stress-related diseases.
Ichthyosaurs from cretaceous Mullaman Beds near Darwin, Northern Territory

Few Australian ichthyosaur remains have been found outside the Queensland Artesian Basin . Near Darwin , N.T. poorly preserved in situ ichthyosaur fossils are relatively common in Upper Albian Beds of shore line character, often in association with fragments of petrified wood. One specimen of Ichthyosaur, recovered from a thin, shaley bed outcropping at the mouth of Rapid Creek near Nightcliff is complete enough to record Some overall structural and proportional details, but no taxonomically diagnostic elements were present. The indeterminate ichthyosaur material , resembling platypterygius australis in general proportions and vertebral morphology is presented as gen . et sp. indet.
Role of cultural and socioeconomic factors in fish consumption among Omani population: A pilot survey

Background: Fish is one of the major components of a balanced healthy diet, and it is a good source of several beneficial compounds. Cultural and socioeconomic factors such as financial status of people, awareness about the health benefits of fish, and cost and availability of fish in the market plays an important role in fish consumption among Omani population. Methodology: This study was designed to assess the fish consumption in terms of purchase, storage, cooking methods, and consumption patterns of selected 240 convenient Omani populations. The mailed survey enabled to collect the data about the cultural, socioeconomic, health, and nutritional factors which might influence the consumption of fish in Oman. Results and Conclusion: Exploration of cultural and socioeconomic factors was done with the help of descriptive and inferential statistics. The outcome of this study might be useful in promoting fish consumption among Omani people. However, the sample size used in this study is less, and may not be the representation of Oman.
Sensory, textural, physico-chemical and enzymatic characterization of melted cheese with added potato and carrot peels

Food waste is one of the biggest societal problems in the globe due to its detrimental consequences on the environment. According to estimates from the Food and Agriculture Organization, this comes to about 1.3 billion tonnes per year. The current study aims to produce sustainable food products with high nutritional value by incorporating food waste. For the extraction of economically relevant products such as dietary fibers, biopolymers, natural antioxidants, and food additives, potato and carrot peel represent an inexpensive, valuable, and conveniently available resource. Cheese is a functional dairy product that people eat for its high nutritional content, which aids in the treatment of conditions including diabetes, obesity, hypertension, and digestive problems in addition to giving them energy. Thus a control sample and 10 samples of melted cheese with various amounts of potato and carrot peelings were prepared. To explore the nutritional value of potato and carrot peels in melted cheese, an analysis was conducted on the fluctuation of physicochemical (acidity, pH, dry matter, water activity, and salt content) and enzymatic (L-lactic acid, lactose, D-glucose, and D-galactose) parameters. Consumer acceptability of the products was assessed by textural and sensory analysis. During the whole storage period, the samples of melted cheese with potato and carrot peels recorded higher values than the control sample, the results obtained for them being better. Samples with added potato or carrot wastes were more stable over time, as compared to control samples.
Disease-associated mutations hyperactivate KIF1A motility and anterograde axonal transport of synaptic vesicle precursors

Significance Anterograde axonal transport supplies organelles and protein complexes throughout axonal processes to support neuronal morphology and function. It has been observed that reduced anterograde axonal transport is associated with neuronal diseases. In contrast, here we show that particular disease-associated mutations in KIF1A, an anterograde axonal motor for synaptic vesicle precursors, induce hyperactivation of KIF1A motor activity and increased axonal transport of synaptic vesicle precursors. Our results advance the existing knowledge of the regulation of motor proteins in axonal transport and provide insight into the cell biology of motor neuron diseases. KIF1A is a kinesin family motor involved in the axonal transport of synaptic vesicle precursors (SVPs) along microtubules (MTs). In humans, more than 10 point mutations in KIF1A are associated with the motor neuron disease hereditary spastic paraplegia (SPG). However, not all of these mutations appear to inhibit the motility of the KIF1A motor, and thus a cogent molecular explanation for how KIF1A mutations lead to neuropathy is not available. In this study, we established in vitro motility assays with purified full-length human KIF1A and found that KIF1A mutations associated with the hereditary SPG lead to hyperactivation of KIF1A motility. Introduction of the corresponding mutations into the Caenorhabditis elegans KIF1A homolog unc-104 revealed abnormal accumulation of SVPs at the tips of axons and increased anterograde axonal transport of SVPs. Our data reveal that hyperactivation of kinesin motor activity, rather than its loss of function, is a cause of motor neuron disease in humans.
DOES ECONOMIC GROWTH HAS ANY RELATIONSHIP WITH HEALTH STATUS IN INDIA - AN EMPIRICAL INVESTIGATION

The article explores the impact of several health variables (both input and output) on India's economic growth. Cointegration and Error Correction econometric approaches were used on data from 1970 to 2010. Toda-Yamamoto causality test was used to determine the direction of causality between health condition and economic growth. The data imply that the impact of health is not only a long-term phenomenon, but also the short-term one showing significant effects. Growth has remained a risk factor for Health Status. Additionally, the data shows that the amount spent on public health has a little impact on GDP per capita.
SYNTHESIS OF BASIN RESPONSE WITH INADEQUATE DATA

The present study is focussed on the problem of developing a basin response function with inadequate data. The case of a catchment with some measurements of output and with input data either totally absent or unemployable is specifically taken for the analysis. The method proposed by Delaine (1970) and demonstrated by him for an experimental drainage area of around 50 acres has been suitably extended to natural catchments from 25 mi. 2 to 750 mi. 2 . It is shown that the synthesis is subjected to uncertainties and errors when the method is applied to larger catchments, though reasonably good results are obtained for smaller catchments. The authors suggest an alternate method applicable for all sizes of catchments assuming linearity and time invariance and that the parameters of the model are correlated with the catchment characteristics.
Clinical Pharmacists ’ Pharmaceutical Care for Postoperative Pain in Guangdong Province

Pain is an unpleasant feeling and emotional experience caused by tissue injury or potential tissue injury, or a painful experience with sensory, emotional, cognitive and social dimensions. According to the healing time and the duration of pain, it can be divided into acute pain and chronic pain. [1] The American Pain Society (APS) and the American Academy of Pain Medicine (AAPM) define acute pain as the physiological response and experience to harmful stimuli that may become pathological, usually sudden and time-limited, and can stimulate behavior to avoid potential or actual tissue injury. [2] Postoperative pain is an acute pain that occurs immediately after surgery, including physical and visceral pain, which usually lasts for 7 days and sometimes several weeks. [2] According to Buvanendran, [3] 66% of patients report moderate, severe, or extreme pain after surgery, and 59% report moderate, severe, or extreme pain within 2 weeks after discharge. If the pain after surgery is not fully controlled, it will bring a series of adverse effects on the body, such as increasing oxygen consumption and affecting ischemic organs, triggering harmful spinal reflex arcs, reducing pulmonary function and gastrointestinal peristalsis, and delaying the recovery of gastrointestinal function. Acute pain not only increases the pain and complications of patients, but also evolves into chronic pain, reducing the patients’ quality of life. [4] Perioperative acute pain remains a challenge for both doctors and patients. Taking active and effective analgesic measures to relieve pain can not only accelerate postoperative recovery, but also improve the comfort, the quality of life, and the satisfaction of patients.
Diagnosis of Power Switch Faults in Three-Phase Permanent Magnet Synchronous Motors via Current-Signature Technique

The paper deals with the development of a model-based current-signature algorithm for the detection and isolation of power switch faults in three-phase Permanent Magnet Synchronous Motors (PMSMs). The algorithm, by elaborating the motor currents feedbacks, reconstructs the current phasor trajectories in the Clarke plane through elliptical fittings, up to detecting and isolating the fault depending on the characteristics of the signature deviation from the nominal one. As a rough approximation, as typically proposed in the literature, the fault of one out of six power switches implies that, at constant speed operation, the phasor trajectory deviates from the nominal circular path up to a semi-circular “D-shape” signature, the inclination of which depends on the failed converter leg. However, this evolution can significantly deviate in practical cases, due to the dynamics related to the transition of motor phase connections from failed to active switches. The study demonstrates that an online ellipse fitting of the current signature can be effective for diagnosis, through correlating the ellipse centre to the location of the failed switch. The performances of the proposed monitoring technique are here assessed via the nonlinear simulation of a PMSM employed for the propulsion of a lightweight fixed-wing Unmanned Aerial Vehicle (UAV), by quantifying the fault latencies and the related transients.
Photochemical activity in developing pea (Pisum sativum L.) cotyledons depends on the light transmittance of covering tissues and the spectral composition of light

Many crops require not only leaf photosynthesis for their seed development but also the photochemical reactions that occur in the seeds. The purpose of this work was a comparative analysis of light transmittance and photochemical activity in the leaves of Pisum sativum L. and its pericarp, seed coat, and cotyledons at the early, middle, and late maturation stages. The spectral composition of light was measured using a spectroradiometer in the range of 390–760 nm. We assessed the light transmittance of plant tissues by placing the plant tissue between the light source and the spectroradiometer’s sensor. PAM fluorometry was used to quantify the photochemical activity in plant tissues: this technique is handy for evaluating the efficiency of converting light energy into chemical energy through the analysis of the kinetics of chlorophyll fluorescence excitation and quenching. On average, a photochemically active green leaf of pea transmitted 15 % of solar radiation in the 390–760 nm, blue light was delayed entirely, and the transmitted red light never exceeded 5 %. Photochemically active radiation passing through the pericarp and coat and reaching the cotyledons at the early and middle seed maturation stages manifested a high proportion of green and far-red light; there was no blue light, and the percentage of red light was about 2 %. However, the cotyledons were photochemically active regardless of low irradiance and spectral ranges untypical of leaf photosynthesis. At the early and middle maturation stages, the maximum quantum yield of photosystem II (Fv/Fm) averaged 0.5 at the periphery of cotyledons and 0.3 at their center. Since the intensity of embryonic photochemical reactions significantly affects the efficiency of reserve nutrient accumulation, this parameter is a promising marker in pea breeding for seeds with improved nutritional qualities.
Post-Traumatic Stress Disorder Symptoms among Pediatric Healthcare Workers

Post-traumatic stress disorder symptoms related to work in pediatric departments aremajor public health problems, as they directly affect health organizations, healthcare workers, and, due to the poor quality of care, the patients as well. The post-traumatic symptoms that a healthcare worker may experience are related to intrusion, avoidance, negative changes in cognition and mood, and changes in arousal and reactivity. The aim of the present investigation was to identify risk factors that contribute to the development of PTSD in pediatric healthcare workers, in order to implement necessary workplace measures. A sample of four hundred and forty-five pediatric workers at seven Greek public hospitals consented to participate in the survey. Socio-demographic data and a post-traumatic checklist (5th edition) were used to diagnose post-traumatic stress disorder. According to the results, risk factors for the development of post-traumatic symptoms include medical or nursing errors, threats to a child’s life, and incidents of workplace bullying. More specifically, 25.2% of the participants had a provisional PTSD diagnosis, 72.8%of the sample experienced an incident involving a medical or nursing error in their workplace related to the treatment or care of a child, 56% experienced an incident involving a child’s death or a threat to a child’s life due to a serious illness or injury, and 55.5% experienced an incident of workplace bullying. In addition, it was found that having a university-level education, master’s, or PhD, working in a circular shift, being assigned to a department by management rather than the worker, and dissatisfaction with salary were associated with post-traumatic stress disorder. The high rates of PTSD symptoms among participants highlight the need for prevention and management measures to protect and support the mental health of workers in pediatric departments. We propose frequent evaluations of the mental health of employees, more time for rest, incentives for professional development, utilization of their specializations and specialties, support from mental health specialists when symptoms are diagnosed, and the option for employees to change departments if they wish or if they show symptoms of mental trauma.
The Optimization of the STOI Algorithm Parameters in Presence of the White Gaussian Noise (WGN)

The first part of the paper describes the Short Time Objective Intelligibility - STOI algorithm, which makes an objective evaluation of intelligibility, as well as an algorithm for estimating the optimal parameters of the STOI algorithm, N and . Second part of the paper, described an experiment that examines the intelligibility of the sentences formed from the Serbian Matrix Sentence Test - SMST base using: a). subjective MOS (Mean Opinion Score) test and b). objective test STOI algorithm. Subsequently, a comparative analysis of the results were made and it was determinate an analytical formula which connecting optimal pairs (N, ). Using the results of the MOS test as a reference, a mean absolute error of estimation of the STOI algorithm was determined.