Miracle-dz/UniFAR-FTUs huggingface dataset:
Phytochemical, Antioxidant Screening, Antinociceptive, and Anti-inflammatory Activities of Boswellia dalzielii Hutch (Burseraceae) Root Ethanol Extract Using Animal Model

This study investigated the biological activities and phytochemical screening of Boswellia dalzielii root ethanol extract. Standard procures were used to evaluate the phytochemicals and antioxidant capacity, antipyretic activity in baker’s yeast-induced pyrexia in mice, analgesic property (hotplate and acetic acid-induced in mice), acute anti–inflammation (carrageenan-induce in rats) and chronic arthritis (formalin–induced in rats) on Boswellia dalzielii root ethanol extract. The phytochemical results revealed the presence of phenol, ascorbic acid, flavonoids, alkaloids, cardiac glycoside, tannin, saponin. The extract had a significant reduction in the body temperature in graded doses and 100 mg/kg paracetamol at 60 minutes when compared with the control, but 400 mg/kg was more effective (p<0.01). Morphine and plant extract showed a slight significant analgesic property at 0 and 30 minute compared to the control. The extract at 100 mg/kg elicited a significant increase at 60 and 90 minutes compared with the control, and it is comparable to 5 mg/kg morphine. The plant extract (100, 200, and 400 mg/kg) and aspirin (100mg/kg) shows significant analgesic properties compared to control (p<0.01) but 200 mg/kg of extract revealed highest percentage inhibition. The extract produced no significant reduction on carrageenan induced inflammatory at all dose level compared to control (p>0.05). The plant extract (100, 200, 400 mg/kg) and Indomethacin (1 mg/kg) reduced paw volume across the doses from day 4 compared to the control (p<0.01). The Boswellia dalzielii root extract is a promising anti–inflammatory agent, it also possesses antipyretics, and analgesics effect validating the folklore claim.
The Impact of Social Media on Preventive Behavior During the COVID-19 Outbreak in South Korea: The Roles of Social Norms and Self-Efficacy

Social media are important channels to propagate health information and influence preventive behavior during a public health crisis, as witnessed during the coronavirus pandemic (COVID-19). This study explored the association between social media use and preventive behavior during the outbreak of COVID-19 in South Korea. Using the national survey data (N = 1,500), the study examined the mediating role of social norms in the association between social media use for news and information about COVID-19 and preventive behavior. In addition, the study tested the moderating effect of self-efficacy on the mediating path of social media use for preventive behavior via social norms. Conducting a moderated mediation analysis method, this study found that social norms mediated the relationship between social media use and preventive behavior (b = 0.046). Moreover, the study revealed that the indirect relationship between social media use and preventive behavior through social norms becomes stronger as an individual’s level of self-efficacy decreases (low: b = 0.044, middle: b = 0.036, and high: b = 0.030). The study provides empirical evidence of the beneficial impact of social media use on preventive behavior. The findings of the study recommend promoting messages on social norms through social media for facilitating preventive behavior.
Some Features of the Spatial Structures of the Surface Layer Turbulence in the High Wind Condition

The present paper deals with the spatial structures of atmospheric turbulence in terms of the coherence and the phase of velocity fluctuations between two points. It is shown by reanalyzing the observed wind data that the decay factor of coherence is not constant, but function of both separation distance l and wind-anemometer line angle B. However, for a longitudinal direction, the decay factor appears to be constant and the phase is obtained like that as deduced from Taylor's hypothesis. The following empirical formula of the decay factor is obtained at the height of 41.5 m in high wind condition: k* =a cos *+b(l sin */z)C sin* where a, b and c are constants and z is a height of observation level. At the height of 41.5 m in high wind conditions, estimated value of a is nearly equal to 2.6 or 3.8 and those of b and c are 14 and 0.45, respectively. The decay factors for lateral separations seem to decrease with increasing roughness length. Space correlations are computed as function of the wind-anemometer line angle by using the experimental formulae of power spectrum, coherence and phase. The calculated results agree well with the experimental ones within the range of their scattering.
Fekete-Szegö functional for non-Bazilevič functions

Let f(z) = z + a2z + a3z + · · · be an analytic function in the unit disk U and let the class of non-Bazilevič functions, for 0 < λ < 1, be described with Re { f ′(z) (z/f(z)) } > 0, z ∈ U . In this paper we obtain sharp upper bound of |a2| and of the Fekete-Szegö functional |a3 − μa2| for the class of non-Bazilevič functions and for some of its subclasses.
Innocence Mortality Tax: The Impact of Wrongful Conviction on Lifespan

The wrongful conviction of innocent individuals is a growing problem for those unjustly convicted and the integrity of our legal system, with exonerees often struggling post-exoneration. Yet, too little is known about the long-term impact of wrongful convictions on those unjustly convicted. Thus, we investigated the effect of wrongful conviction on mortality and lifespan—that is, we tested for the possibility of an “innocence mortality tax. ” We found that more exonerees have passed than expected when compared to U.S. death rates, and that exonerees died 13.24 years earlier than expected, given their age, gender, race/ethnicity, and incarceration length. Finally, those exonerees whose cases involved a false confession or mistaken eyewitness identification died significantly sooner than their counterparts. Our results highlight the need for researchers, practitioners, and policymakers to continue to find ways to mitigate the harm done to innocent individuals unjustly convicted.
Types of Fathers’ Home-based and School-based Involvement in a Hungarian Interview Study

This study explores the ways that Hungarian fathers are involved, at home and at school, in their children’sdevelopment and achievement. It also identifies the types of fathers that emerge based on this involvement.According to the literature, paternal involvement at home and at school contributes to academic achievement,similar to the involvement of mothers, but to a lesser extent and in different ways. The theoretical framework ofthe research relies on the types of parental involvement as defined by Epstein. The research was qualitative,based on 14 semi-structured interviews and the classification of fathers, resulting in three groups of similar size.The first group comprised fathers who contributed to their child’s achievement at home, often by helping withschool-related activities, while not participating in school events. The second group included fathers who wereinvolved at home and at school alike. Finally, the third group consisted of four divorced fathers, three of whomwere involved both at home and at school, due to their particular situation. Overall, fathers’ school-basedinvolvement can be increased by the supportive attitude of wives, fathers’ greater confidence in themselves andtheir abilities, and by informal events organized by schools (cooking or sports days), in which fathers are morelikely to participate.
Comparative Genome-Wide Analysis of MicroRNAs and Their Target Genes in Roots of Contrasting Indica Rice Cultivars under Reproductive-Stage Drought

Recurrent occurrence of drought stress in varying intensity has become a common phenomenon in the present era of global climate change, which not only causes severe yield losses but also challenges the cultivation of rice. This raises serious concerns for sustainable food production and global food security. The root of a plant is primarily responsible to perceive drought stress and acquire sufficient water for the survival/optimal growth of the plant under extreme climatic conditions. Earlier studies reported the involvement/important roles of microRNAs (miRNAs) in plants’ responses to environmental/abiotic stresses. A number (738) of miRNAs is known to be expressed in different tissues under varying environmental conditions in rice, but our understanding of the role, mode of action, and target genes of the miRNAs are still elusive. Using contrasting rice [IR-64 (reproductive-stage drought sensitive) and N-22 (drought-tolerant)] cultivars, imposed with terminal (reproductive-stage) drought stress, we demonstrate differential expression of 270 known and 91 novel miRNAs in roots of the contrasting rice cultivars in response to the stress. Among the known miRNAs, osamiR812, osamiR166, osamiR156, osamiR167, and osamiR396 were the most differentially expressed miRNAs between the rice cultivars. In the root of N-22, 18 known and 12 novel miRNAs were observed to be exclusively expressed, while only two known (zero novels) miRNAs were exclusively expressed in the roots of IR-64. The majority of the target gene(s) of the miRNAs were drought-responsive transcription factors playing important roles in flower, grain development, auxin signaling, root development, and phytohormone-crosstalk. The novel miRNAs identified in this study may serve as good candidates for the genetic improvement of rice for terminal drought stress towards developing climate-smart rice for sustainable food production.
Physiological traits and metabolic profiles of contrasting rice cultivars under mild salinity stress during the seedling stage

This study aimed to investigate the effects of mild salinity stress on some physiological traits and metabolic profiles of rice during the seedling stage. Three rice cultivars differing in salinity stress response, ‘KDML105’ (salt-sensitive, local Thai jasmine rice), ‘IR29’ (salt-sensitive rice), and ‘Pokkali’ (salt-tolerant rice), were subjected to mild salinity stress by flood-irrigated with 40 mM NaCl. Salinity stress significantly reduces the growth and biomass of the sensitive cultivars. Electrolyte leakage in ‘KDML105’ and ‘IR29’ also increased significantly while the relative water content (RWC) decreased. However, salinity stress did not affect growth, electrolyte leakage, and RWC in the tolerant cultivar. Salinity significantly increased Na+/K+ ratio in shoot and root of all cultivars. Nevertheless, the increase of Na+/K+ ratio in ‘KDML105’ and ‘IR29’ was higher than that of ‘Pokkali’. The metabolic profile analysis of ‘KDML105’ showed that uracil, L-proline, malonate, L-carnitine, L-lactate, and guanine were significantly increased, but the levels of dihydroxyacetone and glycine were significantly decreased under salinity conditions. In ‘IR29’, L-proline, melatonin, gamma-aminobutyrate, and acetate were significantly increased. In ‘Pokkali’, however, sugar alcohols and sugars were slightly increased when exposed to salinity conditions. The metabolic pathway analysis revealed one involved metabolic pathway of ‘KDML105’: aminoacyl-tRNA biosynthesis, and three involved those of ‘IR29’: arginine proline metabolism, sulfur metabolism, and butanoate metabolism. The difference in the metabolic profile of the salt-tolerance salt-sensitive cultivars provides new insights to identify additional novel biomarkers that will help better understand the mechanisms for salt tolerance in rice.
Innovation Mechanism in the Hospitality Industry: A Mediated-Moderated Model

This study examines the relationship between empowered leadership (EL), intrinsic motivation (IM), job complexity (JC), and innovative employee behavior (EIB) in the hospitality industry. The study specifically investigates how EL affects EIB and how IM mediates this connection. Furthermore, this study explores the moderating impact of JC on the direct interconnected linkages between EL, IM, and EIB. Our sample comprises 506 employee-supervisor dyads from 45 five-star hotels in the Middle East, representing a variety of international hotel chains. Using partial least squares structural equation modeling (PLS-SEM), the study finds that EL significantly impacts EIB, which IM subsequently influences. Additionally, we discover that IM acts as a mediator for EL and EIB. Moreover, we find that JC has a moderating impact on the strength of these relationships. Our findings have both theoretical and practical implications for hotel managers and researchers interested in fostering their subordinates' IM and promoting their innovation. We also emphasize the importance of JC in positively influencing the strength of these relationships in the hotel industry. Managers can develop strategies to increase their businesses' competitiveness in this dynamic and competitive sector by better understanding the factors that drive EIB.
An approximation method for evaluating the reliability of a dynamic k-out-of-n:F system subjected to cyclic alternating operation conditions

This article extends the finite Markov chain imbedding approach to evaluate the system reliability of a dynamic k-out-of-n:F system operating under two cyclic alternating conditions, and this article presents a method to obtain the optimal replacement interval of the system according to age-based replacement policy. In terms of the “dynamic k-out-of-n:F” model, we regard the system as two distinct k-out-of-n:F systems with different values of k while the system is operating under each condition. We apply the proposed model to analyze the reliability of a wireless sensor network, whose sensors switching into sleep state to save energy and shifting into listen state to detect the information alternatively. We also obtain the optimal replacement interval to redeploy the wireless sensor networks.
Role of the Renin Angiotensin Aldosterone System in the Pathogenesis of Sepsis-Induced Acute Kidney Injury: A Systematic Review

Background: Sepsis is a life-threatening condition responsible for up to 20% of all global deaths. Kidneys are among the most common organs implicated, yet the pathogenesis of sepsis-induced acute kidney injury (S-AKI) is not completely understood, resulting in the treatment being nonspecific and responsive. In situations of stress, the renin angiotensin aldosterone system (RAAS) may play a role. This systematic review focuses on analyzing the impact of the RAAS on the development of S-AKI and discussing the use of RAAS antagonists as an emerging therapeutic option to minimize complications of sepsis. Methods: Studies were identified using electronic databases (Medline via PubMed, Google Scholar) published within the past decade, comprised from 2014 to 2023. The search strategy was conducted using the following keywords: sepsis, S-AKI, RAAS, Angiotensin II, and RAAS inhibitors. Studies on human and animal subjects were included if relevant to the keywords. Results: Our search identified 22 eligible references pertaining to the inclusion criteria. Treatment of sepsis with RAAS inhibitor medications is observed to decrease rates of S-AKI, reduce the severity of S-AKI, and offer an improved prognosis for septic patients. Conclusion: The use of RAAS antagonists as a treatment after the onset of sepsis has promising findings, with evidence of decreased renal tissue damage and rates of S-AKI and improved survival outcomes. Registration: INPLASY202360098.
Disaster Policy, Participation, and Horizontal Conflict: Case Study Reconstruction Aid Funds of The Bantul Earthquake

This investigation aims to show that the government’s policy without participation approach causes horizontal conflict in society. The case study is financial aid in reconstruction process for the earthquake’s victims in Bantul Regency, 2006-2007. This research collects secondary data, such as government’s documents, journals, books, news, and other relevant sources. Based on data analysis, we find that the absence of participation in policy making causes policy cannot accommodate the social context of the target group. As impact, community leaders and community members face a problematics situation that creates many problems during implementation. These problems, finally, lead the society into horizontal conflict. This finding might contribute in public policy and disaster management discourse, theoretical and practical, and build a path for the future research.
Efficacy of a HER2-Targeted Thorium-227 Conjugate in a HER2-Positive Breast Cancer Bone Metastasis Model

Simple Summary Human epidermal growth factor receptor 2 (HER2) is a protein present in increased amounts in breast cancer compared with healthy breast tissue. Anti-cancer drugs directed at HER2 can therefore kill cancer cells while reducing harmful effects to adjacent normal cells that do not have HER2. HER2-positive breast cancers often spread to bone as the disease progresses, resulting in incurable bone metastases, bone fractures and breaks, and severe pain for the patient. We have developed HER2-TTC (HER2-targeted thorium-227 conjugate), an intravenously injected cancer therapy that delivers lethal radiation to HER2-positive cancer cells. We tested HER2-TTC in cell culture and mouse models, including those that mimic HER2-positive human breast cancer metastases in bone. In the in vivo models, HER2-TTC treatment killed breast cancer cells and prevented cancer-induced abnormal changes in bone. These results suggest that HER2-TTC treatment could be beneficial to patients with HER2-positive breast cancer with bone metastases. Abstract Human epidermal growth factor receptor 2 (HER2) is overexpressed in 15–30% of breast cancers but has low expression in normal tissue, making it attractive for targeted alpha therapy (TAT). HER2-positive breast cancer typically metastasizes to bone, resulting in incurable disease and significant morbidity and mortality. Therefore, new strategies for HER2-targeting therapy are needed. Here, we present the preclinical in vitro and in vivo characterization of the HER2-targeted thorium-227 conjugate (HER2-TTC) TAT in various HER2-positive cancer models. In vitro, HER2-TTC showed potent cytotoxicity in various HER2-expressing cancer cell lines and increased DNA double strand break formation and the induction of cell cycle arrest in BT-474 cells. In vivo, HER2-TTC demonstrated dose-dependent antitumor efficacy in subcutaneous xenograft models. Notably, HER2-TTC also inhibited intratibial tumor growth and tumor-induced abnormal bone formation in an intratibial BT-474 mouse model that mimics breast cancer metastasized to bone. Furthermore, a match in HER2 expression levels between primary breast tumor and matched bone metastases samples from breast cancer patients was observed. These results demonstrate proof-of-concept for TAT in the treatment of patients with HER2-positive breast cancer, including cases where the tumor has metastasized to bone.
SMO-Based Distributed Tracking Control for Linear MASs With Event-Triggering Communication

This article is devoted to the robust tracking control issue for leader-following linear multiagent systems (MASs) in the case of unavailable states, external interferences, and limited network bandwidth. First, a distributed sliding-mode observer (SMO), including neighbor output information, which can effectively cope with external interferences in the closed-loop system and estimate the unmeasurable states of linear MASs, is established. Second, in order to prevent continuous communication and resize the activated interval, a distributed dynamic triggering transmission mechanism based on the SMO state is constructed. Then, the bounded consensus tracking performance of disturbed linear MASs with unavailable states is well realized by devising a distributed robust control protocol in terms of the SMO state and event-triggered communication mechanism. By employing the Lyapunov stability theory and Riccati equation, some ample conditions are deduced to guarantee the leader-following bound consensus for linear MASs subject to perturbations and unmeasured states. Finally, to further validate the validity of the SMO-based event-triggered communication control strategy, an emulation example is provided.
Study on Lightweight Model of Maize Seedling Object Detection Based on YOLOv7

Traditional maize seedling detection mainly relies on manual observation and experience, which is time-consuming and prone to errors. With the rapid development of deep learning and object-detection technology, we propose a lightweight model LW-YOLOv7 to address the above issues. The new model can be deployed on mobile devices with limited memory and real-time detection of maize seedlings in the field. LW-YOLOv7 is based on YOLOv7 but incorporates GhostNet as the backbone network to reduce parameters. The Convolutional Block Attention Module (CBAM) enhances the network’s attention to the target region. In the head of the model, the Path Aggregation Network (PANet) is replaced with a Bi-Directional Feature Pyramid Network (BiFPN) to improve semantic and location information. The SIoU loss function is used during training to enhance bounding box regression speed and detection accuracy. Experimental results reveal that LW-YOLOv7 outperforms YOLOv7 in terms of accuracy and parameter reduction. Compared to other object-detection models like Faster RCNN, YOLOv3, YOLOv4, and YOLOv5l, LW-YOLOv7 demonstrates increased accuracy, reduced parameters, and improved detection speed. The results indicate that LW-YOLOv7 is suitable for real-time object detection of maize seedlings in field environments and provides a practical solution for efficiently counting the number of seedling maize plants.
Alterations in Seizure Frequency in Patients with Epilepsy Following Coronavirus Disease 2019

Background and Purpose During the coronavirus disease 19 (COVID-19) pandemic, a considerable number of studies have focused on the difficulties for accessing the medical services and telemedicine-related issues. However, it is not clear whether COVID-19 affects the clinical course of epilepsy. Therefore, in the current study we aimed to assess the effects of COVID-19 infection on seizure frequency in patients with epilepsy (PWE). Methods We evaluated PWE who consecutively referred to the neurology clinics of 22 Bahman and Qaem hospitals, who had experienced a recent polymerase chain reaction-confirmed-COVID-19 infection. Data were collected through a pre-defined electronic questionnaire. Results A total of 104 patients were included. Females represented 52% of the population. The mean age of the patients was 36.73±17.87. Thirty-six patients (34%) reported increased seizure frequency. The mean age of the patients who had exacerbated seizure frequency was significantly lower than the non-exacerbated group (27.50±9.8 vs. 40.14±18.39; p=0.005). The number of the male patients were significantly higher in the exacerbated group (52% vs. 25%; p=0.014). The majority of exacerbated group had a history of drug resistance (44.4% vs. 8.5%; p=0.022). The number of epileptic seizures before COVID-19 infection was higher in the exacerbated (p=0.04). Conclusions About 34% of PWE experienced exacerbated epileptic seizures after COVID-19 infection. Male patients, young patients, patients with the history of drug resistance, and the patients who had higher seizure frequency were at increased risk for seizure exacerbation. Our results highlight the importance of screening, early diagnosis, and treatment in PWE.