bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Theory-based Educational Intervention to Promote Physical Activity Participation in Older Adults
Authors: Mardany Zahra , Tarrahi Mohammad Javad , Dastgerdi Zohre Fathian 
Published: November 2024

Abstract

Background
Promoting physical activity (PA) behavior can help older adults create and maintain an active lifestyle.
Methods
The study was conducted to determine the effect of an educational intervention based on social cognitive theory (SCT) on PA among Iranian older adults. 88 elderly people referred to health centers in Isfahan in 2024 were randomly selected. 6 training sessions were conducted in the intervention group (N: 44). Questionnaires were distributed in the intervention and control groups at the immediate, 3, and 12-month follow-ups, and were analyzed by independent t-tests, RM-ANOVA, and MANCOVA.
Results
Immediate, three, and 12 months after the intervention, the mean scores of all the constructs including self-efficacy, social support, perceived expectations, and perceived values significantly increased in the intervention group compared to the control (P < 0.001). Three and 12 months after the intervention, the participation rate in PA improved significantly in the intervention group (P < 0.001).
Conclusion
The findings suggest that interventions guided by SCT, improve older adults' PA participation, which offers great potential for broader application in other settings.
Preliminary techno-economic assessment of the capability of an oil field in Egypt for carbon dioxide geologic storage
Authors: Elmezain Ahmed , Abdel-Monem Nabil , Shimi Hassan 
Published: November 2024

Abstract

Carbon capture and storage (CCS) is promoted a promising decarbonization strategy. It is argued to be a potential solution for Egypt’s greenhouse gas emissions that have substantially grown over the past three decades. A widely recognized method of CCS is carbon geologic storage which means CO2 injection in petroleum reservoirs. However, there is no single carbon geologic storage project in Egypt, and there is a remarkable lack of research in this field. This research aims to assess the storage of a pure source of CO2 emitted from a gas process plant in oil an oilfield in Egypt. To do so, this paper performed a preliminary site characterization then presented a technical model to select the required machinery and infrastructure, finally, it proposed a financial model. The findings showed that assuming 3333 barrels/day condensate recovery from injection, the project would yield an internal rate of return of 147%, net present value (NPV) of 431 million$ and a payback period of 1 year. A sensitivity analysis found that the NPV increases sharply with oil prices’ increase and the adoption of $60/ton CO2 carbon price. Since most of the research in this area focuses on subsurface investigation, the nobility of this paper comes from its interdisciplinarity by combining surface, subsurface and financial data for a more holistic approach. The study implies that the oil sector has the relative advantage of the lowest injection cost. The research can be generalized so that it can be adopted by other similar oil enterprises that have CCS plans.
OCAC: A Dynamic Operation-Centric Access Control Model for Fine-Grained Cloud Security
Authors: Routh Aman Kumar , Ranjan Prabhat 
Published: November 2024

Abstract

As cloud computing systems grow more complex, traditional access control models like Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) often fail to provide the required granularity and adaptability to secure dynamic, distributed environments. This paper proposes an innovative Operation-Centric Access Control (OCAC) model designed to address these limitations by implementing fine-grained, context-aware, and task-oriented access control mechanisms. The OCAC model emphasizes the importance of activity context and user behavior in defining access policies, offering a novel approach that goes beyond static roles or attributes. By focusing on activities as the core component, this model dynamically adapts to various contexts, scenarios, and constraints, allowing real-time access management and enhancing security in cloud environments where tasks often span multiple devices, users, and locations.
The OCAC model introduces unique elements such as scenario-based constraints and context-specific roles, which allow access decisions to be tailored to the current state and needs of the system. These features enable a fine-grained approach to access control, making it more flexible and secure than traditional models. The model's task-oriented nature aligns with modern collaborative workflows, where task security is as critical as user or role-based security. Moreover, OCAC’s scalability and adaptability make it highly suitable for critical applications in IoT, healthcare, and collaborative cloud ecosystems, where robust access control is essential to safeguarding sensitive operations.
Our model represents a significant advancement in access control for cloud systems by aligning access policies with real-time activities, providing a comprehensive framework for secure, scalable, and context-sensitive access management in today's rapidly evolving cloud environments.
A new multi-stage method for the numerical solutions of fully implicit nonlinear differential systems
Authors: Benhammouda Brahim 
Published: November 2024

Abstract

This paper presents a novel technique for solving fully implicit nonlinear systems of ordinary differ-ential equations, which are typically challenging to address using existing numerical methods and symbolic tools like Mathematica, Matlab or Maple. Our approach applies the Differential Transform Method (DTM) directly to the im-plicit differential system and utilizes an important property of Adomian polynomials, leading to a simple and efficient algorithm. The main advantage of our method is that it require the solution of only one algebraic system compared to implicit numerical method which require the solution of nonlinear algebraic system at every step. Furthermore, our technique does not require the differential system to be in an explicit form. The DTM generates the exact solution as a convergent power series. To enlarge the interval of convergence, we have developed a multistage DTM algorithm that enables accurate numerical solutions over larger intervals. The effectiveness of our method is demonstrated through several numerical examples that conventional tools cannot solve, showcasing its ability to compute both exact and numerical solutions for implicit nonlinear differential systems efficiently.
An Assessment of the Ifc Interoperability for Geodetic and Geotechnical Specification in a Geophysical Context
Authors: ANTUNES MARIA LUISA RIBEIRO 
Published: November 2024

Abstract

Among the existing geotechnical exploration processes for bridges and dams, geophysics seems to be one of the most advantageous investigation methods. It contributes to worker safety during the prospecting process in submerged (or partially submerged) structures, precise identification of the terrain subsurface, and avoids the interpolation of geotechnical results. These factors can impact the efficiency of decision-making and resource allocation during the operational phase of assets. Using the Design Science Research approach (DSR), this article explores the potential of Industry Foundation Classes (IFC) to evaluate the interoperability of geotechnical data. Through the Standard for The Exchange of Product (STEP) and using an earth dam as the object of study, the results revealed a high semantic level of the IFC 4.3 data schema. The study also addresses the specification of geodetic data using a bridge model highlighting the importance of operating between coordinate systems, an essential aspect of collaborative processes throughout the infrastructure project lifecycle.
Enzymatic Profiles of Streptomyces Isolates from Soil Samples: Biodegradation and Environmental Applications
Authors: ZAKARI David Adeiza , KAREEM Sarafadeen Olateju , OBUOTOR Tolulope Mobolaji , Adeboye AKINLOYE Oluseyi , EGBEJA Tsobaza Idris , BELLO Kizito Eneye , Moyosore ADEFILA Adebimpe , Zainab AZEEZ , Olubunmi EMUROTU Marvelous , EDEGBO Emmanuel , ISOJA Stephen Ojochegbe , Boniface MOMOH Theophilus , Danjuma SHUIAB Yusuf 
Published: November 2024

Abstract

This study examines the enzymatic profiles, biochemical characteristics, morphological traits, and molecular identification of ten Streptomyces isolates from soil samples in Kogi State, Nigeria, with an emphasis on their potential in biodegradation and environmental biotechnology. Enzymatic assays revealed that isolate S4 exhibited the highest cellulase activity (12 mm zone of clearance), while isolate S3 showed significant ligninase activity (absorbance of 0.85 at 530 nm). Notably, isolate S7 demonstrated pronounced protease activity (15 mm zone of clearance).
Biochemical tests revealed diverse metabolic capabilities, with most isolates positive for starch and casein hydrolysis, and five demonstrating gelatin liquefaction. Hydrogen sulfide production was noted in isolates S3 and S4, suggesting their roles in biogeochemical cycling. Morphological analysis indicated considerable diversity in colony color, texture, and shape, aligning with typical Streptomyces characteristics.
Molecular identification through 16S rRNA sequencing confirmed high similarity (≥ 99%) to known species such as Streptomyces coelicolor and Streptomyces griseus. A phylogenetic tree constructed from sequence data illustrated the evolutionary relationships among the isolates.
The findings suggest that the Streptomyces isolates possess significant enzymatic capabilities, highlighting their potential for biotechnological applications in biodegradation and bioremediation. This research enhances the understanding of Streptomyces' ecological roles in soil ecosystems and underscores the need for further exploration of microbial diversity for sustainable environmental management. Future studies should investigate the specific mechanisms underlying the enzymatic activities of these isolates and their practical applications.
Inhibition of Galectin-1 and androgen receptor axis enhances enzalutamide treatment in
enzalutamide resistant prostate cancer
Authors: Shih Tsung-Chieh 
Published: November 2024

Abstract

Prostate cancer (PCa) remains a prevalent and deadly disease, particularly in its advanced stages. Despite various available treatments, resistance to drugs like enzalutamide continues to present significant challenges. This study demonstrated the significant upregulation of Galectin-1 (Gal-1) in enzalutamide-resistant PCa cells. Specific siRNA-mediated knockdown of Gal-1 inhibited proliferation in enzalutamide-resistant prostate cancer cells and resensitized them to enzalutamide treatment in an orthotopic mouse model. Elevated levels of androgen receptor full length and AR-V7 are key mechanisms underlying resistance to enzalutamide in PCa. Our findings showed that Gal-1 knockdown suppressed AR and AR-V7 expression and their transcriptional activity. In addition, pharmacological targeting of Gal-1 using LLS30 significantly suppressed the growth of enzalutamide-resistant PCa cells and exhibited synergistic effects when combined with enzalutamide. Notably, this combination significantly inhibited the growth of enzalutamide-resistant xenografts in vivo. Furthermore, RNA-seq analysis further revealed that LLS30 modulates AR and AR-V7 signaling through the inhibition of associated target genes. These findings highlighted Gal-1 as a promising therapeutic target for combating enzalutamide resistance in PCa. Importantly, targeting the Gal-1/AR/AR-V7 axis with LLS30 emerges as a promising strategy to enhance the efficacy of enzalutamide treatment and address enzalutamide resistance in PCa.
Automatic detection of water pipeline leakage via unsupervised learning applied on ground penetrating radar data
Authors: Yu Zhenwei , Ye Zihao , Zheng Feifei , Zhang Yiping , Shen Yonggang 
Published: November 2024

ABSTRACT
Aging urban water supply pipelines are facing significant leakage issues. Ground penetrating radar (GPR) is an effective non-destructive method for leakage localization, but its image analysis mainly relies on interpreter experience, leading to uncertainty and inefficiency. To address this issue, an unsupervised learning method based on GPR data attributes is proposed for automatic leakage detection. First, velocity and energy attributes are extracted from B-Scan profiles to differentiate wet areas caused by leakage from normal areas. Then, the density-based spatial clustering of applications with noise (DBSCAN) clustering method is applied to automatically classify these two types of areas. The proposed method was evaluated on an experimental platform with constant water pressure and pre-drilled leakage points. Experiments show that the velocity and energy attributes decrease by 25.2 and 26.6% after leakage. Using velocity attributes yields better results, and suggestions for DBSCAN hyperparameters are provided. Feature importance analysis indicates that two-way-travel-time with a score of 46.1 and energy attribution index with a score of 32.7 significantly influence leakage identification. This method can also estimate affected leakage areas with an error not exceeding the spacing of three measurement lines, and is available across various underground conditions without needing well-labeled training data.
Evaluation of pilot-scale drinking water treatment trains using a panel of bioassays
Authors: Hoondert Renske , Dingemans Milou M. L. , Slootweg Tineke , Bertelkamp Cheryl , Kramer Franca , Oorthuizen Wim , Martijn Bram , Scholte Petra , Schurer Rinnert , Houtman Corine 
Published: November 2024

ABSTRACT

Chemical water quality monitoring is increasingly complemented with bioassays. The performance of drinking water treatment technologies was evaluated with bioassays. CALUX bioassays and the Ames fluctuation bioassay for mutagenicity were used to analyze the responses of raw feed water with and without a spiking mixture of organic contaminants in different pilot-scale water treatment trains applying advanced oxidation processes, reverse osmosis and filtration with activated carbon for the preparation of drinking water. In general, CALUX responses in the spiked feed water were in the same range as in the unspiked feed water, indicating that spiking did not significantly elevate the activity measured in the feed water. This observation was in line with a calculation of the combined additive behavior of the spiking mixture using bioactivities of the spiked chemicals in analog bioassays from ToxCast. This calculation gave no indication of a measurable response in the bioassays to be expected by the spiking, except for oxidative stress. Responses in the Ames fluctuation assay in most feed water were in some cases increased by advanced oxidation processes (AOPs) and mostly removed by active concentrations. The bioassay responses demonstrate the removal of emerging chemicals with different mechanisms of action by different water treatment technologies.
Effectiveness of Essential Oils from Leaves of Two Plant Species in the Control of Anopheles gambiae
Authors: Enwemiwe Victor N. , Ojianwuna Chioma C. , Egwunyenga Andy O. 
Published: November 2024

Background:
The current method of controlling malaria vectors using synthetic chemicals
has caused serious problems for human health and the environment. Hence, a need for alternative,
cheap, readily available, and acceptable mosquito control methods.

Objective:
To evaluate the bioinsecticidal efficacy of Ocimum gratissimum and Mesosphaerum
suaveolens against Anopheles gambiae using the bioassay method.

Methods:
Oil extracts in 5 ml, 25 ml, and 75 ml serially diluted twice in 100 ml of olive oil
formed 0.05%, 0.25%, and 0.75%, while 1 m in 100 ml formed 1%. Olive oil only served as a
control. Twenty-five female Anopheles mosquitoes, aged 2-4 days, were blown into tubes containing
filter paper-coated essential oils of various concentrations in quadruplicates.

Results:
Over 50% mortality was recorded in mosquitoes exposed to 0.75% and 1% O. gratissimum
compared to others (p <0.05). Knockdown time (KDT) was higher in mosquitoes exposed to
1% O. gratissimum compared to others (p <0.05). Generalized linear regressions showed that the
essential oils of O. gratissimum and M. suaveolens contributed 4% (f2 = 0.042) and 14% (f2 =
0.167) to the variability of mortality with time. KDT50 (9.34 - 131.5 minutes) and KDT95 (77.6 -
275 minutes) of O. gratissimum as well as KDT50 (162.8 - 233.6 minutes) and KDT95 (302.8 -
415 minutes) of M. suaveolens were recorded. Stigmastane; 4,22-Stigmastadiene-3-one (Area:
45.88%) in O. gratissimum and gamma-Sitosterol (16.02%) in M. suaveolens were identified by
Gas Chromatogram as the highest dose of chemical compounds.

Conclusion:
The low bioinsecticidal activities of these plant extracts could be attributed to the
low occurrence of terpenoids and alkaloids.
Panchakarma in Parinaama Shoola - A Review Article
Authors: Sri Lakshmi M  , Seethadevi P  , Jyoti  
Published: November 2024

Parinama Shoola is a chronic, recurrent, and non-fatal gastrointestinal (GIT) condition, accounting for 25% of patient visits to clinics and hospitals in India.[1] In Ayurveda, Madhavakara was the first to describe Parinama Shoola, characterizing it as pain during digestion, and categorizing it as a Vata-Pradhana Tridoshaja Vyadhi.[2] Samprapti: The development of Shoola begins with the consumption of incompatible foods (Viruddhahara), such as hot and spicy rich fatty diets, junk foods, and habits like tobacco chewing, smoking, and alcohol consumption. Physical inactivity and mental stress further exacerbate the condition, leading to digestive impairment (Agnimandya) and the formation of toxins (Ama). This sequence of events progresses through stages of: Ajeerna (indigestion), Amlapitta (hyperacidity), finally culminating into Shoola (pain).[3] The causes, progression, and symptoms of Parinama Shoola are remarkably similar to those of duodenal ulcers in modern medical science. Management of duodenal ulcers typically involves: Educating the patient, Avoiding known causative factors, Prescribing bland diets, Using antacids and acid-blocking medications, Administering antibiotics for H. pylori infection. Despite these treatments, high recurrence rates and unwanted side effects are common. In Ayurvedic treatment for Parinama Shoola includes: Samshodhana (purification), Samshamana (pacification), Nidana Parivarjana (avoidance of causative factors), Pathya-Apathya (dietary and lifestyle modifications) and Prevention of recurrences. Ayurvedic medicines are noted for being cost-effective, easily available, and safe for long-term use.
The role of Yoga in Preventing Lifestyle Disorders among Children
Authors: Pooja Rajpurohit  , Bhrahmanand Sharma  , Gajendra Kumar Dubey  , Hemant Rajpurohit  
Published: November 2024

This article is meant to deal with stress, sedentary lifestyle and keep oneself happy because today's lifestyle is causing many types of diseases and these diseases are increasing rapidly in children. On an average, 60% of children are suffering from overweight/obesity. Many have at least one additional risk factor for cardiovascular disease, such as high blood pressure, or hyperinsulinemia. Yoga is a medium through which you can stay healthy and happy. Yoga gives you the strength to fight physical diseases, heals your mental health and helps in developing and strengthening the self. and it also has a positive effect on motor, physical, cognitive and social aspects. Surya Namaskar should be done to improve the current life style in children and it helps in improving the physical and mental health of children and also Surya Namaskar is effective in pulmonary functions, respiratory pressure, handgrip strength, endurance and cardiovascular diseases.
Dampak Kebijakan Domestik Terhadap Produski Dan Harga Jagung Domestik Di Indonesia
Authors: Fitriana Ayu , Hanani Nuhfil , Fahriyah Fahriyah 
Published: November 2024

Jagung merupakan salah satu komoditas tanaman pangan yang penting selain gandum dan padi. Seiring berjalannya waktu permintaan jagung dalam negeri digunakan untuk memenuhi bahan baku industri. Guna meningkatkan produksi jagung nasional agar mencapai swasembada jagungÂ dan menjaga stabilitas harga jagung domestik maka pemerintah berupaya menerapkan kebijakan domestik seperti subsidi harga pupuk dan harga acuan pembelian pemerintah. Penelitian ini bertujuan untuk menganalisis dampak kebijakan domestik terhadap produksi dan harga jagung domestik di Indonesia. Untuk mencapai tujuan tersebut, telah dilakukan estimasi model persamaan simultan perdagangan jagung Indonesia dengan menggunakan metode Two Stage Least Squares (2SLS) dengan data time series dari tahun 1990 hingga 2021. Penelitian ini menunjukkan bahwa, kebijakan subsidi pupuk dapat meningkatkan produksi jagung nasional tetapi menurunkan harga jagung domestik baik tingkat petani, konsumen maupun pedagang besar. Di sisi lain, kebijakan HPP dapat meningkatkan harga jagung domestik dan produksi jagung nasional, sehingga menurunkan permintaan jagung nasional. Untuk mengantisipasi kelebihan pasokan jagung nasional, Pemerintah Indonesia sebaiknya melakukan intensifikasi penggunaan jagung lokal sebagai bahan baku industri pakan.
Virtual Reality Exposure Therapy for Reducing School Anxiety in Adolescents: Pilot Study
Authors: Beele Gesa , Liesong Paula , Bojanowski Sabine , Hildebrand Kristian , Weingart Malte , Asbrand Julia , Correll Christoph U , Morina Nexhmedin , Uhlhaas Peter J 
Published: November 2024

Background
Virtual reality exposure therapy (VRET) is a promising treatment approach for anxiety disorders. However, while its efficacy has been demonstrated in adults, research on the efficacy of VRET in the treatment of adolescents with anxiety disorders is largely lacking.

Objective
A pilot study was carried out to test whether exposure to a virtual reality (VR) school environment elicits state anxiety and autonomic arousal in adolescents with school anxiety (diagnoses covering social anxiety disorder or specific phobia involving school contexts). In addition, we examined whether repeated VR exposure led to a reduction in this fear response, trait school anxiety, and social anxiety symptoms. Moreover, the relationship of presence, the subjective sense of “being there,” during VR exposure with anxiety measures and treatment response was examined.

Methods
In a pilot study, 10 adolescents with school anxiety (age range 14 to 17 years) participated in five VRET sessions. Self-reported state anxiety, heart rate, and presence during exposure, as well as trait school anxiety and social anxiety before and after treatment, were measured.

Results
The VR scenario induced state anxiety and autonomic arousal. After VRET, a significant reduction in state anxiety (η2=0.74) and social anxiety symptoms (d=0.82) as well as a trend toward a decrease in trait school anxiety were observed, while autonomic arousal did not change. In addition, presence during VR exposure was associated with state anxiety and treatment response.

Conclusions
Our findings indicate the feasibility and potential effectiveness of VRET as a treatment method for symptoms of school and social anxiety in adolescents.