bluuebunny/crossref_metadata_2025 huggingface dataset:
30-day and lasting impacts on utilizing a novel orthotic insole for tactile stimulation in diabetic peripheral neuropathy: a double-blind, randomized, sham-controlled trial
Authors: Thimabut Wachirayongyot , Thimabut Natapatchakrid , Peng Liang , Hou Zeng-Guang
Published: October 2024

Background
Diabetic peripheral neuropathy (DPN) can lead to diabetic foot ulceration (DFU) and disabilities. DPN also increases vibration perception threshold (VPT) and decreases tactile sensitivity. Applying a vibrating insole is an efficient way to decrease VPT and improve tactile sensibility.
Objective
To investigate the continuing and lasting effects of applying a novel vibrating orthotic insole (VOI) combined with a newly designed stimulus (a random 0–100 Hz square wave pulse signal integrated with pseudorandom white noise via a stochastic resonance approach) for tactile stimulation in DPN.
Methods
A randomized sham-controlled trial with a parallel design and a double-blind strategy was conducted in this study. Sixty-four mild-to-moderate DPN were randomized by a computer-generated algorithm into two interventions: 1) using the VOI mixed with the newly designed stimulus; 2) using the VOI with only 100 Hz frequency vibration. Each intervention was done at home for sixty minutes a day over thirty days. VPT outcomes were assessed on the 1st, 15th, and 30th days. Following up on the remaining effects of employing the VOI combined with the newly designed stimulus was performed after completing Intervention 1 by evaluating VPT values every seven days.
Results
Intervention 1 could significantly reduce VPT and effectively enhance tactile sensation (P<0.001). In contrast, Intervention 2 considerably increased VPT. Follow-up, VPT was steady at the end of Intervention 1 for the first week before progressively rising over a month; after that, it rose until it exceeded baseline, which took approximately two to three months.
Conclusions
Utilizing the VOI in conjunction with a random 0–100 Hz square wave pulse signal and pseudorandom white noise via a stochastic resonance approach could offer lowering VPT, maintaining decreased VPT, and improving tactile sensitivity. The VOI may benefit neurorehabilitation in DPN, e.g., preventing DFU and its recurrence, restoring/prolonging tactile sensation, slowing DPN deterioration, and avoiding lower extremity amputation.
Trial registration
Thai Clinical Trials Registry: TCTR20230601001 (ThaiClinicalTrials.org).
Effect of organic waste material and rhizobacteria on growth and physiology of Brassica juncea (L.) Czern. under salinity stress
Authors: Kareem Noreen , Rashid Madiha , Noreen Zahra , Usman Sheeraz , Shah Anis Ali , Khaleel Fareeha , Ilyas Anam , Riaz Ahsan , Gatasheh Mansour K. , Shaffique Shifa
Published: October 2024

Salinity is one of the major environmental problems in arid and semi-arid region which affect the plant physiological and yield attributes. Organic waste materials such as banana peels and eggshells contain essential nutrients that are necessary for plant growth and development. The inoculation of rhizobacteria allows to decrease the hazardous effects of salinity stress. The present study was conducted to evaluate the potential of organic waste material and rhizobacteria on growth and physiology of Brassica juncea (L.) Czern. under salinity stress. The experiment consisted of various treatments including eggshells (20g), banana peel (20g), rhizobacteria (30ml Bacillus megaterium) and NPK(0.033kgh− 1). In the current study, salt stress 0 mM and 150 mM NaCl concentration was applied. From outcome of current study, it is shown that salt stress caused changes in morphological, physiological, biochemical and yield parameters. Peel powder treatment and Bacillus megaterium strain play major role as growth regulators for plant development under salt stress. Among the treatments, eggshells and banana peels significantly enhanced the antioxidant activity (CAT, POD, SOD and total soluble protein), total phenolic, leaf proline, reduced the oxidative stress markers (MDA, H2O2) and promoted membrane stability and yield attributes. However, carotenoids content increased under NPK treatment.
Health-seeking delay and potential determinants among pulmonary tuberculosis patients: a retrospective survey in China
Authors: Fan Mingkuan , Liu Yushu , Liu Kui , Li Tao , Zhang Canyou , Li Yuhong , Liu Xiaoqiu , Cheng Jun , Zhang Hui , Wang Li
Published: October 2024

Background
Understanding the health-seeking delay (HSD) in pulmonary tuberculosis (PTB) patients aids tailored strategies to curb transmission. This study aims to assess HSD and factors in China, considering the COVID-19 impacts.
Methods
Symptomatic PTB patients diagnosed from 2019 to 2022 were sampled using multistage stratified clustering. A semi-structured questionnaire was utilized to assess their HSD. Participants were divided to pre (2019) and epidemic (2020–2022) groups, the latter further categorized to 12 subgroups byⅠ–Ⅳstages and 3 levels of stringency in public health and social measures(PHSMs). Categorical variables were presented as counts (percentages), while continuous as median (Interquartile Range). The time between patient onset symptom and initial health facility visiting was defined as the health-seeking interval (HSI), HSIs of epidemic group and subgroups were compared with those of the 2019. Factors associated with HSD were analysed, univariable and multivariable analysis were performed by chi-square tests and binary logistic regression separately.
Results
Sum of 759 PTB patients, 391 diagnosed pre and 368 during the epidemic. HSI was 14 (7–30) days for all patients, with no significant difference between two groups [12 (7–30) days vs. 15 (6–30) days, P = 0.852]. Among the 12 subgroups, only under strict PHSMs in stage I and medium PHSMs in stage II showed significant differences in HSIs compared to 2019[10 (3–15) days vs. 20 (10–30) days, 10 (3–17.5) days vs. 20 (8.5–50) days] (P = 0.013, 0.038). HSD proportions were comparable between the two groups (48.1% vs. 51.6%, P = 0.328). Self-medication before seeking health was a common factor for HSD (AOR: 3.057/2.868, 95% CI: 1.888–4.950/1.718–4.787). During the epidemic, solely cough and expectoration were prone to HSD (AOR: 2.144, 95% CI: 1.288–3.569), and passive case-finding posed a higher HSD risk than active (AOR: 30.987, 95% CI: 3.904-245.932). Most patients with HSD misinterpreted PTB, while a few cited epidemic inconvenience and fear of COVID-19.
Conclusions
HSD among PTB patients remains prevalent, the COVID-19 epidemic exerted limited impact. Individual, epidemic and health provider factors mediated the HSD. Increasing PTB awareness, enhancing health services accessibility during epidemics, and expanding active case-finding are recommended to minimize the delays.
Down-regulated expression of the palmitoyl-acyl carrier protein thioesterase (FatB) gene enhanced oleic and linoleic acid accumulation in rice (Oryza sativa) seed
Authors: Luo Jixun , Zaplin Ella Simone , Xu Xiaoyu , Su Xianyue , Devilla Rosangela , Howitt Crispin A , Li Zhongyi , Blanchard Chris , Rahman Sadequr , Zhou Xue-Rong
Published: October 2024

Background
Rice (Oryza sativa) seed lipids contain about 25% saturated fatty acids, dominated by palmitic acid. Reduction of saturated fat consumption is recommended for health concerns and so reducing palmitic acid content is of interest for the rice bran oil industry. In higher plants, palmitoyl-acyl carrier protein thioesterase (FatB) controls the release of palmitic acid from acyl carrier protein and its accumulation in oil.
Results
In this study, four rice OsFatB genes were identified, and their expression patterns were analyzed in seed by the reverse-transcription quantitative PCR. Two types of rice lines were obtained with down-regulated OsFatB expression: an OsFatB1 knockout mutant obtained via Tos17 insertion and transgenic rice lines in which expression of the four OsFatB genes using RNAi technology. Both types exhibited partial reductions of palmitic acid content (11% and 21–55%, respectively) and a slight reduction in myristic acid content. Increased oleic and linoleic acid content was observed in the transgenic rice lines but not in the Tos17 insertion line.
Conclusion
These results demonstrated that the palmitic acid content is controlled by multiple OsFatBs, and the contribution of OsFatB1 is limited.
Integrative study of subcellular distribution, chemical forms, and physiological responses for understanding cadmium tolerance in two garden shrubs
Authors: Yu Shiyin , Wang Shan , Tang Min , Pan Shuzhen , Wang Meixian
Published: October 2024

Background and aims Urban ornamental shrubs have significant potential for restoring cadmium (Cd)-contaminated soil. Simulated pot pollution was applied to Buxus sinica and Ligustrum × vicaryi to study their Cd enrichment characteristics and tolerance mechanisms.
Methods Cd content and accumulation were analyzed in different plant organs, subcellular distribution and chemical forms of Cd in the roots, and the effects of Cd on the ultrastructure of root cells under various Cd concentrations (0, 25, 50, 100, and 200 mg·kg⁻¹).
Results (1) With increasing Cd treatment levels, the total biomass of B. sinica gradually decreased, while L. ×vicaryi exhibited a stimulation effect at low Cd concentrations and inhibition at high Cd concentrations. (2) The Cd content in different organs of both shrubs increased with rising Cd levels, with L. × vicaryi showing a significantly higher increase than B. sinica, indicating a stronger Cd accumulation capability in L. × vicaryi. (3) Cd in the root of both shrubs was primarily present in NaCl-extractable forms, and was majorly bound to the cell wall. (4) Excessive Cd caused damage to the cellular structure of B. sinica leaves, while the cells of L. × vicaryileaves maintained normal morphology. (5) In both shrubs, Cd primarily binds to the cell wall through hydroxyl, amino functional groups, and soluble sugars.
Conclusion Converting Cd to less active forms, immobilizing Cd in the cell wall, and providing binding sites through functional groups may be crucial resistance mechanisms for both shrubs in response to Cd stress.
Characteristics of First-generation College Students in Saudi Universities
Authors: Alshrief Samah
Published: October 2024

This study explores the characteristics and experiences of first-generation college students in Saudi Arabia, addressing a gap in the literature on this demographic within the context of Saudi higher education. Historically, the Alhejaz region (Mecca Province) enjoyed privileged access to educational institutions, while other regions faced significant barriers. Since the founding of Saudi Arabia in 1932 and the subsequent educational reforms, access to higher education has expanded significantly, with 37 public and 29 private institutions now operating across the nation's 13 provinces. This expansion has allowed students from previously underserved regions to pursue higher education, leading to a rising population of first-generation college students. By examining the demographic characteristics, geographical backgrounds, and aspirations of first-generation students, this quantitative study aims to provide an understanding of First-generation College Students in Saudi Arabia.
Facilitator suggestions to increase cultural relevance of an evidence-based intervention: A qualitative analysis
Authors: Combs Katie , Ladika Amanda , Goldberg Veronica , Hubler Brittany , Steeger Christine , Stacey Lore , Zaugg Sophia , Lain Marion Amanda
Published: October 2024

Background. Once an intervention is deemed “evidence-based,” it is often disseminated across contexts, settings, and populations beyond those originally tested. The cultural relevance or “fit” of an evidence-based intervention (EBI) in diverse local contexts is a debated topic, but few studies have explored facilitators' perceptions. This study examines facilitators' suggestions for improving the cultural relevance of a universal preventive EBI widely disseminated in middle schools for over 30 years.
Method. Using process evaluation data from a dissemination project (2019-2022) in 363 schools across 16 US states, 566 open-ended responses from EBI facilitators were analyzed using the Framework Method (i.e., a content analysis approach).
Results. Five broad themes emerged among 758 unique suggestions: 1) social or technological relevance (52% of codes), 2) teacher or school-related considerations (13% of codes), 3) student engagement (10% of codes), 4) adaptations for diverse students (9% of codes), and 5) curriculum mechanics (4% of codes). Facilitators overwhelmingly suggested improving cultural relevance by updating social and technological aspects to reflect current trends in substance use, youth culture, and implementation.
Discussion. The study underscores a component of cultural relevance that is particularly relevant to on-the-ground implementers. Feasible ways for EBIs to stay current on social trends and technology to reflect evolving trends in risk behaviors, youth culture, and implementation are essential to increase or maintain the cultural relevance of an EBI. Addressing these areas is crucial for enhancing the long-term adoption, fidelity, and effectiveness of EBIs across diverse populations and evolving cultural landscapes.
Construction of pancreatic cancer cell lines resistant to Albumin Paclitaxel plus Gemcitabine combined regimen and screening of chemoresistance genes for exploring targeted therapy
Authors: Li Zeru , Qin Cheng , Yang Xiaoying , Zhao Bangbo , Li Tianyu , Zhao Yutong , Zhang Xiangyu , Wang Weibin
Published: October 2024

Pancreatic cancer (PCa) is a solid tumor with extremely high malignancy and poor prognosis. Chemotherapy is an important treatment option. Compared with gemcitabine alone, albumin paclitaxel plus gemcitabine (AG) is more effective in the treatment of advanced PCa. The NCCN guidelines also list AG regimen as one of the first-line recommended schemes for PCa. As for the mechanism of drug resistance of AG regimen, there is no relevant literature report at present. MIA PaCa-2 and BxPC-3, two PCa cell lines, were utilized to construct stable cell lines (AG-resistant cell lines) resistant to paclitaxel plus gemcitabine via gradually increased drug concentration of gemcitabine and albumin paclitaxel. AG-resistant cell lines are more malignant than parental cell lines in proliferation, invasion and chemoresistance. 5 genes, including ALDH3A1, ALDH3B1, CDA, MUC1, C15orf48 were found significantly high expression in AG-resistant cell lines. By utilizing PDB database and drugbank, a large-scale virtual screening of target drugs is carried out to screen for possible small molecule targeted drugs, and phthalocyanine was selected and proved to sensitize AG-resistant cell lines. We also validated the mechanism of phthalocyanine sensitizing chemoresistance, demonstrating that it leads to cell death by stimulating intracellular ROS level.
A study on the emotional responses on hearing laughter from brain activity measurements using near-infrared spectroscopy
Authors: Fujiwara Yoshiyasu , Okamura Hitoshi
Published: October 2024

Background: Studies have recognized the beneficial effects of hearing laughter. However, its mechanism has not been sufficiently investigated. Therefore, we examined how laughter influenced affect and emotions and evaluated brain activity upon hearing laughter via near-infrared spectroscopy (NIRS).
Methods: An experiment was conducted with seven healthy university students and used a block design with laughter and relaxing music as interventions. A portable brain activity measurement device (HOT-2000; NeU Corporation) was used to capture neural activity in the lateral prefrontal cortex, based on the degree of changes in total hemoglobin (Hb).
Results: Comparison of the blood flow volume between the right and left prefrontal lateral cortices after each intervention revealed a significant difference in total Hb; however, this was only at rest. No differences were observed during either the laughter or music intervention. Furthermore, comparison of the cerebral blood flow volume between the three experimental conditions (rest period, laughter, music) revealed a significant difference (p = 0.016) between rest period and laughter. However, no significant difference was observed between the other factors.
Discussion: The results did not provide substantial insights into the affect and emotions during laughter interventions based on the degree of change in total Hb between the right and left lateral prefrontal cortices. However, hearing laughter brought about changes in mental states, such as feelings of pleasure and calm, which suggested that hearing laughter relaxed brain activity.
The Effect of Digital Social Responsibility on Consumer Behaviour in the Mobile Telecom Industry
Authors: Alfadul Alaa , Mahmoud AlKubaisy Zenah
Published: October 2024

This research aims to examine the relationship between perceived digital social responsibility (DSR) and consumer selection bymobile telecom companies in Saudi Arabia, considering purchase intention (PI) and consumer loyalty (CL), with the mediating role of brand preference (BP). This study found digital social responsibility to be a powerful marketing tool that can reach customers and increase sales volume, which is a significant addition for corporate social responsibility officers and marketing managers. Therefore, using social media platforms as a medium is important for influencing consumers’ attitudes toward and social responsibility forsocial media. Telecom companies need to focus on digital social responsibility strategies since there is high competition with similar services and products, making it difficult to earn consumer loyalty. The research strategy employed a positivist approach with a quantitative methodology, utilizing an online questionnaire. The data were collected from 375 Saudi participants and analysed using the Statistical Package for Social Sciences (SPSS) v.23 for hypothesis testing. The theoretical framework was tested using AMOS v.23 and structural equation modelling (SEM). Weak relationships were observed between perceived digital social responsibility and both PI and CL. However, a significant relationship existed between perceived DSR and BP. The most significant relationships werefound between BP and both PI and CL. Thus, BP was identified as a partial mediator between perceived DSR and PI, as well as CL. This study highlights the importance of fostering long-term relationships between consumers and mobile telecom companies. Cultural differences may explain the contradictory findings of previous studies. There are several limitations in terms of the perception of digital social responsibility. In the Saudi context, participants seemed unfamiliar with the term. However, the use of across-sectional method prevented the research from measuring the change in participants’ perceptions of digital social responsibility over time, making it difficult to measure purchase intentions and consumer loyalty. Additionally, no specific digital platforms, such as Facebook, Twitter, or Instagram, were used in this research, making it difficult to analyse each post and its impact. Moreover, future research should investigate small mobile telecom companies in Saudi Arabia.
Determinants of Source Credibility in Terms of Herd Behaviour and the Anchoring Effect: The Case of Instagram Influencers
Authors: Ozdemir Sefa , Pirtini Serdar
Published: October 2024

The objective of this paper is to explore the effects of herding and anchoring effects, two behavioural economics concepts, on perceived source credibility, which is commonly utilized in marketing research. These cognitive shortcuts that shape consumers’ decisions reduce their perceived risk or help them make decisions under uncertainty. The literature contains a limited amount of research on the topic that addresses source credibility in terms of behavioural economics. Within this framework, the study is anticipated to enhance the body of literature through its chosen topic and methodology. When reviewing research undertaken within the marketing domain, the experimental design method has been used in very few studies. In this context, in the experimental designs created within the scope of the study, various scenarios were designed on the basis of follower number (high/low) to evaluate the impact of herd behaviour on the credibility of the source and on the substance of news about the influencer (positive/negative) to measure the anchoring effect. After the participants were shown one of the scenarios, they were given questionnaires with statements about source credibility to answer, and how the perception of source credibility differs according to herd behaviour and the anchoring effect was investigated. Instagram influencers were used in the experimental designs created in the study because Instagram application is increasingly preferred over other social media platforms, is more effective in terms of marketing communication, is increasingly included in the marketing strategies of businesses and is preferred by the young population. Within the framework of this research, data were gathered via an online survey administered to a total of 727 students enrolled in various departments across universities in Turkey. These data were subjected to one-way ANOVA via the SPSS program. Research findings indicate that herding behaviour significantly affects the perceptions of the source credibility, expertise, and attractiveness of social media influencers. Furthermore, anchoring significantly affects the source credibility perceptions and expertise, trustworthiness, and attractiveness subdimensions. However, in scenarios where the number of followers and anchors are identical, a statistically significant difference was not found in the perception of source credibility in relation to the gender of the influencer.
Digitization of Accounting in the Innovative Management of Autonomous Robotic Transport
Authors: Zadorozhnyi Zenovii-Mykhaylo , Muravskyi Volodymyr , Shevchuk Oleg , Muravskyi Vasyl , Zadorozhnyi Marian
Published: October 2024

The digitization of economic processes is advancing across all sectors, contributing to the development of Industry 5.0. A key element of this fifth industrial revolution is the activation of robotic economic activity. Recently, advancements in autonomous robotic transport have been implemented in practice. However, both the practical application of unmanned vehicles and scientific developments in this field have shown low efficiency in the implementation of projects for the autonomous transportation of goods and passengers. This inefficiency stems from insufficient attention to the accounting and management aspects of autonomous robotic transport operations. The scientific and practical novelty of this study lies in improving accounting and management practices in the context of digitalization, specifically by addressing the fundamental transformations in economic processes caused by the use of autonomous vehicles. The key organizational factors influencing accounting for robotic transport operations include the type of transported objects, fuel and energy resource consumption, human involvement, the capacity and number of goods (or passengers) transported at one time, continuous operation, maintainability, software update capabilities, autonomous interaction with other transport means, and communication and information sharing with customers of transport services. A method for digitizing the accounting of fuel and energy costs, personnel wages, social activity deductions, depreciation, operational costs, and other costs related to the functioning of autonomous robotic transport has been developed. This method leverages IoT data and considers the organizational prerequisites mentioned. The use of two-dimensional calculation units, such as "kilogramkilometre" and "passenger-kilometre" units, for the digitalization of cost calculations for passenger and cargo transportation via autonomous robotic transport has been proposed. Additionally, the procedure for determining the cost of transport services for end users and the formation of information arrays for the innovative management of transport enterprises has been refined. The elimination of organizational restrictions in managing autonomous transport operations, alongside the need for information synchronization between transport enterprises and other business entities within the information ecosystem of a smart city, highlights future research prospects in this area.
BIOADSORVENTES DE RESÍDUOS DA AGROINDÚSTRIA UTILIZADOS NA REMOÇÃO DE Cd(II)
Authors: Oliveira Carneiro Adailza , Salustiano Costa Neto Daniel , Teixeira Santos de Franca Cleia , Oliveira de Souza Alexilda , Mascarenhas Santos Tereza Simonne
Published: October 2024

BIOADSORBENTS FROM AGROINDUSTRIAL WASTE USED IN Cd(II) REMOVAL. The use of agroindustry waste in the synthesis of bioadsorbents provides a solution to reduce the disposal of solid waste in the environment while increasing the added value of recovering locally sourced waste. However, technical and environmental issues must be considered when selecting the appropriate synthesis method to avoid creating a new environmental impact and evaluate the feasibility of applying the method. In this work, yellow mombin, guava and mango seeds were used to synthesize bioadsorbents capable of removing cadmium(II) in solution. The materials were characterized according to their chemical composition, Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and evaluated by adsorption kinetics tests. Energy analysis of biomass processing was performed by life cycle analysis (LCA). The bioadsorbents presented typical characteristics of lignocellulosic biomass, with the presence of functional groups favorable to the adsorption of metals and were effective in removing cadmium(II), with efficiency of 95.7, 92.4 and 60.2%, for BSG (guava seed bioadsorbent), BSC (yellow mombin seed bioadsorbent) and BSM (mango seed bioadsorbent), respectively. The error functions provided a more appropriate criterion for analyzing the kinetic data. The methodology proposed in this work is simple to implement and has a low estimated energy demand, therefore being promising for application in small fruit processing industries in the semi-arid region of Bahia.
Extra-Hepatic Portal Venous Obstruction in Pregnant Women of South-Asian Descent: A Case Series
Authors: Amala Nimmi , Murali Akshaya , Thomas Annamma
Published: October 2024

Liver diseases complicate approximately 3% of pregnancies worldwide, and require specialized care to ensure optimal pregnancy outcomes. Extra-hepatic portal venous obstruction (EHPVO), even though asymptomatic in a majority of the cases, has a higher risk of variceal bleeding in pregnancy and adverse pregnancy outcomes. In this series, we describe five cases of EHPVO presenting during pregnancy at our tertiary care hospital, their antenatal management, and delivery outcomes. In our case series on EHPVO in pregnancy, a majority of the women were diagnosed during childhood and adequately asymptomatic before pregnancy. Two women underwent Endoscopic band ligation for esophageal varices and one woman underwent splenectomy before pregnancy for disease control. One woman was Anti-nuclear antibody (ANA) positive and another was Anti-phospholipid antibody (APLA) positive, while the other three did not have pre-existing thrombotic tendencies. One patient required Endoscopic band ligation during pregnancy. Pregnancy complicated by hypertension was noted in two of the five women (40%). Four of the five women (80%) had thrombocytopenia requiring blood products during delivery. Two women underwent preterm vaginal delivery, and one woman underwent preterm Caesarean section because of placental abruption. Three women had a post-partum hemorrhage, which was effectively managed with uterotonics and blood products. All five women and their neonates were discharged in good health. Multi-disciplinary approach with standardized antenatal care can give positive pregnancy outcomes in women with EHPVO.
SIRT3, a New Hope in Liver Diseases from Pathogenic Mechanisms to Therapeutic Strategies
Authors: Tan Sai-Ya , Chen Xiao-Xuan , Zhang Rui , Liu Pan , Wang Jian-Peng , Wang Ting , Xiong Zhang-E
Published: October 2024

The liver, the largest internal organ in the human body, regulates multiple reactions
and processes, including detoxification, regeneration, and immune defense. Liver diseases have
emerged as a significant global public health issue. Numerous studies have indicated that the
mitochondrial deacetylase SIRT3 has played various roles in the pathogenesis and pathological
progression of liver diseases.

Objectives:

This review aims to explore the advances in the study of SIRT3 and liver disease and
review possible mechanisms. Natural and chemical activators of SIRT3 are also discussed. The
role of SIRT3 in the pathogenic mechanisms and therapeutic strategies of liver disease is summarized
by reviewing Pubmed. SIRT3 alleviates liver diseases by regulating fatty acid metabolism,
mitochondrial function, and immune-inflammatory response. Meanwhile, Withaferin A,
lipoic acid, major royal jelly proteins, and berberine can activate SIRT3 or upregulate its expression,
thereby alleviating liver damage. SIRT3 can effectively slow down the progression of liver
disease and protect the liver from further damage. The use of SIRT3 as a pharmacological target
for the treatment of liver disease is a potential therapeutic approach.
Promising Anti-Inflammatory Properties of Ursolic Acid Isolated from Atylosia goensis
Authors: Varghese Leemol , Banu Shanaz
Published: October 2024

Introduction:

Indigenous plants are plant species that are native to a specific region
and have evolved naturally and adapted to local environmental conditions over a long period.

Aim:

This study aimed to explore the anti-arthritic effects of Atylosia goensis, an indigenous plant
species in the Western Ghats of India.

Methodology:

An ethanolic extract of Atylosia goensis was obtained using the Soxhlet extraction
method, which revealed a diverse array of phytochemicals through liquid chromatography-mass
spectroscopy (LC-MS). Key compounds, including fatty acids, sterols, and potential health-beneficial
compounds, were identified, and one prominent phytoconstituent, ursolic acid, was spectroscopically
characterized using 1H NMR, 13C NMR, and mass spectrometry. The research also examined
the anti-inflammatory activity and in-vitro and in-vivo anti-arthritic activity of ethanolic
extract.

Results:

The ethanol extract exhibited notable inhibition of Cox-2, indicating potential anti-inflammatory
effects. The in vivo anti-arthritic activity of ursolic acid was evaluated at different doses
(200 and 400 mg/kg) over a 24-day period. Ursolic acid significantly reduced joint edema, particularly
at higher doses, thereby emphasizing its anti-inflammatory properties. Biomarker analysis revealed
dose-dependent attenuation of disease-associated biomarker levels, supporting the potential
therapeutic efficacy of ursolic acid in arthritis management. Moreover, the hepatoprotective potential
of ursolic acid was evident in biochemical parameters, including SGPT, SGOT, and ALP levels.
Both doses of ursolic acid effectively mitigated liver dysfunction induced in the disease control
group, demonstrating its protective role in liver health. Histopathological assessments corroborated
these findings, indicating a reduction in inflammatory areas following ursolic acid treatment,
especially at higher doses.

Conclusion:

This experimental work provides valuable information on the therapeutic potential of
Atylosia goensis and ursolic acid, emphasizing their roles in anti-inflammatory and hepatoprotective
applications. This study contributes to the understanding of plant-derived compounds for potential
pharmaceutical use in the management of inflammatory and arthritic conditions.
Understanding Postpartum Depression through Learned Helplessness Theory
Authors: Saini Garima , Seema Seema , Jaitley Roma
Published: October 2024

Purpose

To empower mothers and raise public knowledge of postpartum depression, this study aimed to examine PDD from the viewpoint of the learned helplessness theory to reveal its causes, risk factors, and available treatments. This study elucidates the elements of postpartum depression and finds strong links to mood disorders, anxiety, and emotional exhaustion.

Methodology

The sample data comprised 542 mothers who gave birth recently and was analyzed on PLS-SEM 4.0 software.

Results

It was found that anxiety and emotional exhaustion significantly and positively affected postpartum depression. Mood disorders, being the mediating variable, significantly affect PPD in the target sample of women after their deliveries.

Conclusion

To improve maternal mental health and to influence future clinical and research techniques for treating postpartum depression, it is essential to empower new mothers and raise the general population's consciousness. Both of these elements work together to improve maternal mental health.
Nano-formulations for the Management of Epilepsy: Synthetic and Herbal Drug Perspectives
Authors: Shivani  , Singh Gurvirender , Narwal Smita , Balram  , Chopra Bhawna , Dhingra Ashwani K.
Published: October 2024

Introduction:

Epilepsy is a multifaceted neurological disorder impacting many individuals
globally. Although the main treatment method is through medicines, many patients do not respond
to existing drugs. This has spurred extensive research for new therapeutic targets and drug
delivery methods. Inflammation and oxidative stress have been associated with the development
and progression of epilepsy. Nanomedicine-based treatments focussing on these pathways could
provide a promising way to enhance treatment results.

Objective:

This review aims to provide insights into enhancing antiepileptic therapy through the
development of nanoformulations of synthetic and herbal drugs.

Methods:

A comprehensive review of existing literature was conducted to evaluate the potential
of nanoformulations in improving the delivery and efficacy of antiepileptic drugs. The review covers
the pathophysiological hypotheses of epilepsy, including the glutamatergic, GABAergic, oxidative
stress, and neuroinflammation hypotheses, and examines the role of neurotransmitter imbalances
in seizure activity.

Results:

Nanoformulations offer promising advantages for epilepsy treatment by enhancing drug
delivery across the blood-brain barrier, reducing required dosages, and minimizing side effects.
The utilization of nanoparticles can improve the bioavailability and targeting of AEDs, potentially
leading to better seizure control. However, challenges such as ensuring biocompatibility and optimizing
nanoparticle characteristics remain.

Conclusion:

While significant progress has been made in understanding epilepsy and developing
treatments, the disorder continues to pose challenges. Nanoformulations represent a promising
area of research that could lead to more effective and targeted therapies for epilepsy, although further
studies are needed to address the associated challenges and fully realize their potential.
AĞIR YETERSİZLİĞİ OLAN BİREYLER VE OLUMLU DAVRANIŞ DESTEĞİ
Authors: Erbaş Esra , Kurtoğlu Seniha , Vuran Sezgin
Published: October 2024

Ağır yetersizliği olan bireylerde problem davranışların katı kurallar ve cezalar içeren geleneksel yöntemlerle önlenmeye, azaltılmaya ya da ortadan kaldırılmaya çalışılması aksi bir etki yaratarak problem davranışların artmasına neden olabilmektedir. Geleneksel yöntemlere alternatif olarak geliştirilen ve etkililiği birçok araştırma tarafından kanıtlanmış Olumlu Davranış Desteği yaklaşımı, bireylere bireysel ve okul çaplı müdahalelerle olumlu davranış desteği sunarken onların hem sosyal hem de akademik gelişimini amaçlamaktadır. Bu araştırmanın amacı, ağır yetersizliği olan bireylerde olumlu davranış desteği ile ilgili yapılmış araştırmaları sistematik derleme yöntemi ile incelemektir. Bu çalışma kapsamında incelenen 11 makalenin konuları, amaçları, yöntemleri, çalışma grupları, bulguları, sınırlılıkları ve önerileri analiz edilerek ağır yetersizliği olan bireylerde olumlu davranış desteği araştırmalarına ilişkin bir çıkarıma ulaşılmıştır. Makalelerden elde edilen bulgular çeşitlilik göstermektedir. Ağır yetersizliği olan bireylerle; aile, akran, öğretmen tarafından yürütülen bu çalışmaların ortak vurgusu, olumlu davranış desteğine yönelik müdahalelerin ağır yetersizliği olan bireylerde davranış değiştirme ve kazandırmada etkili olduğudur. Görüş ve tutumlara yönelik yürütülen çalışmalarda ise ağır yetersizliği olan öğrencilerin okul geneli uygulamalara katılımlarında soyutlayıcı bir politika izlendiği ortaya konulmuştur.
A bibliometric analysis of halal product literature: Research stream and future direction
Authors:   Faculty of Islamic Religion, Universitas Muhammadiyah Surakarta, Sukoharjo, 57169 Jawa Tengah, Indonesia, Apriantoro Muhamad Subhi , Sekartaji Salsabilla Ines ,   Faculty of Islamic Religion, Universitas Muhammadiyah Surakarta, Sukoharjo, 57169 Jawa Tengah, Indonesia, Nurrohim Ahmad ,   Faculty of Islamic Religion, Universitas Muhammadiyah Surakarta, Sukoharjo, 57169 Jawa Tengah, Indonesia, Utaminingsih Esty Setyo ,   Master of Elementary Education Program, Universitas Negeri Semarang, Semarang, 50229, Jawa Tengah, Indonesia
Published: October 2024

This study investigates the development of halal products to predict future trends in halal product research. A bibliometric analysis was conducted on 786 entries from the Scopus database, covering the years 1998-2022. The analysis and visualization tools used include Scopus Analyze, VOSviewer, Biblioshiny, and Microsoft Excel. The number of studies on halal products increased significantly between 2016 and 2020 but has declined since 2021. Two key topics emerged from the research: halal products and the authentication of halal materials. Keywords related to halal products were used for searches in the Scopus database. The findings highlight that Rohman A is the most frequently cited author, Universiti Putra Malaysia is the leading institution, the Journal of Islamic Marketing is the most relevant source, and Rohman A remains the most influential author. The study concludes that the literature on halal products, especially in the areas of Islamic marketing, food science, economics, management, and the halal industry, is predominantly based in Southeast Asian countries like Malaysia and Indonesia.
Mediating Role of Customer Satisfaction on the Relationship between Customer Engagement Practices and Customer Loyalty in Hotels in South East Nigeria
Authors: Mokwuah Chieloka James , Chuka Ifediora , Chukwu Ogukwe Obasi , Agina Emeka Kenechi , Ewuzie Cajetan , Arum Obumneme Mathew , Obasi Obasi Kalu
Published: October 2024

This study examines the mediating role of customer satisfaction on the relationship existing between customer engagement practices on customer loyalty in hotels in South East, Nigeria. Specific objectives were to; examine the mediating role of customer satisfaction on the relationship existing between social media marketing (Facebook and Instagram) and customer loyalty in the hospitality industry; examine the mediating role of customer satisfaction on the relationship existing between short messages services (SMS) and customer loyalty in the hospitality industry. Survey research design was adopted for the study. The target population comprised customers who had used the services of the selected hotels at least once. A sample size of 396 customers quests was chosen from the population. Questionnaire was the instrument for data collection. A two-shaped structural equation modeling procedure was applied to test the hypotheses. The results show that at 5% level of significance, customer satisfaction has a statistically significant mediating role on the relationship existing between social media marketing (Facebook and Instagram) and customer loyalty, given that ß1 = 0.035; p = 0.015, ß1 = 0.78; p = 0.000, and the mediating role of customer satisfaction is statistically significant at 5% level of significance on the relationship between short messages services and customer loyalty, given that ß1 = 0.521; p = 0.000. The studyconcludes that; customer satisfaction play a mediating role on the relationship existing between social media marketing, and short message services, The study recommends that; to influence customers’ attitude and thoughts; hotel marketing managers should have up-to-date information about the new advancements and developments related to social network websites; Hotel marketing managers should also, ensure that short messages services alerts are persistently sent to relevant customers to enhance their loyalty.
EVOLUTIONARY ALGORITHM-BASED PARETO FRONT EXPLORATION FOR EFFICIENT COST-PERFORMANCE TRADEOFFS IN BIG DATA ANALYTICS
Authors:   Institute of Technology and Management Gwalior, India, Gupta Deepak , Shrivastava Deshdeepak ,   Institute of Technology and Management Gwalior, India, Pandey Anand Kumar ,   ITM University,India, Pandey Rashmi ,   Institute of Technology and Management Gwalior, India, Dubey Gaurav ,   Institute of Technology and Management Gwalior, India
Published: October 2024

Big data analytics often involves complex decision-making processes that require finding efficient cost-performance tradeoffs. Evolutionary algorithms (EAs) have proven to be effective in solving multi-objective optimization problems by exploring the Pareto front, which represents the optimal tradeoffs between conflicting objectives. In this paper, we propose an evolutionary algorithm-based approach for Pareto front exploration in big data analytics. Our approach employs a novel fitness function that incorporates both cost and performance metrics, allowing the algorithm to simultaneously optimize for both objectives. We introduce several mutation and crossover operators tailored for big data analytics, ensuring effective exploration of the solution space. To validate the effectiveness of our approach, we conduct experiments using real-world big data analytics scenarios. The results demonstrate that our evolutionary algorithm-based approach successfully explores the Pareto front, enabling decision-makers to identify optimal cost-performance tradeoffs in big data analytics.
ROUGH SETS-BASED DECISION SUPPORT SYSTEMS FOR CUSTOMER RELATIONSHIP MANAGEMENT
Authors:   Pondicherry University, India, N Vijayanand
Published: October 2024

Customer Relationship Management (CRM) plays a crucial role in maintaining and enhancing customer satisfaction and loyalty. To effectively manage customer relationships, organizations require decision support systems that can provide valuable insights and assist in making informed decisions. In this context, Rough Sets-Based Decision Support Systems (RS-DSS) have emerged as a promising approach. RS-DSS utilizes the principles of rough set theory to handle uncertainty and vagueness in customer data, enabling the discovery of hidden patterns and knowledge for effective CRM. This paper provides an overview of the application of RS-DSS in CRM, highlighting its benefits and challenges. The study also discusses various components of RS-DSS, including attribute reduction, rule extraction, and decision-making. Furthermore, the paper presents a case study to illustrate the practical implementation and potential outcomes of RS-DSS in CRM. Overall, RS-DSS holds significant potential in enhancing customer relationship management by leveraging rough set theory for decision support and improving organizational performance.
SECURED FINANCIAL MANAGEMENT SYSTEM FOR MODERN DIGITAL TRANSACTIONS USING BLOCKCHAIN
Authors:   Sri Ramakrishna Engineering College, India, K Vijayakumar , Alani Sameer ,   The University of Anbar, Iraq
Published: October 2024

Blockchain technology has revolutionized the way in which financial transactions are conducted. It has made possible secure financial management and digital transaction systems that are faster, more secure, and more reliable than traditional payment methods. Blockchain technology offers increased efficiency, trustworthiness and transparency to its users. The Blockchain works by creating a shared, distributed ledger of transactions. Each transaction is cryptographically secure and immutable, and all participating nodes have identical copies of the ledger. This ensures that transactions are traceable and secure, eliminating traditional problems such as double spending or fraudulent activities. Through the integration of Blockchain, the system provides transparency, prevents fraud, and ensures accountability. The research focuses on optimizing performance by reducing processing times and transaction costs, while maintaining scalability and flexibility. Additionally, the system facilitates auditing and compliance processes, while promoting financial inclusion by providing access to unbanked individuals. The proposed system’s contributions lie in its novel approach to secure financial management, utilizing Blockchain’s features to address the challenges of modern digital transactions.
DETECTING DECEPTIVE REVIEWS: AN INTEGRATED MACHINE LEARNING APPROACH
Authors:   United Arab Emirates University, United Arab Emirates, Krishnan Anusuya , K Kennedyraj ,   Noorul Islam University, India
Published: October 2024

In recent years, online reviews have become a crucial factor in promoting products and services. However, the rise of fake reviews has posed a significant challenge. Businesses, marketers, and advertisers often resort to embedding fake reviews to attract customers or undermine their competitors. Deceptive reviews have become a common practice, as they serve as a means of promoting one''''s own business or tarnishing the reputation of rivals. Consequently, the identification of deceptive reviews has emerged as a critical and ongoing research area. This research paper presents a machine learning model approach to detect deceptive reviews. The study focuses on experiments conducted using a deceptive opinion spam corpus dataset, specifically targeting restaurant reviews. An n-gram model combined with max features is developed to identify deceptive content, with a particular emphasis on fake reviews. Additionally, a benchmark study is conducted to explore the performance of two different feature extraction techniques and their application in five machine learning classification techniques. The experimental findings demonstrate that the passive aggressive classifier outperforms other algorithms, achieving the highest accuracy not only in text classification but also in identifying fake reviews. Moreover, the research delves into the identification of deceptive reviews and explores diverse feature extraction and machine learning techniques to improve the model''''s accuracy.
EVALUATION OF LATTICE BASED XAI
Authors:   Sri Sathya Sai Institute of Higher Learning, India, Venkatsubramaniam Bhaskaran , Baruah Pallav Kumar ,   Sri Sathya Sai Institute of Higher Learning, India
Published: October 2024

With multiple methods to extract explanations from a black box model, it becomes significant to evaluate the correctness of these Explainable AI (XAI) techniques themselves. While there are many XAI evaluation methods that need manual intervention, in order to be objective, we use computable XAI evaluation methods to test the basic nature and sanity of an XAI technique. We pick four basic axioms and three sanity tests from existing literature that the XAI techniques are expected to satisfy. Axioms like Feature Sensitivity, Implementation Invariance, Symmetry preservation and sanity tests like Model parameter randomization, Model-Outcome relationship, Input transformation invariance are used. After reviewing the axioms and sanity tests, we apply it on existing XAI techniques to check if they satisfy them or not. Thereafter, we evaluate our lattice based XAI technique with these axioms and sanity tests using a mathematical approach. This work proves these axioms and sanity tests to establish the correctness of explanations extracted from our Lattice based XAI technique.