bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoring river water quality through predictive modeling using artificial neural networks backpropagation
Authors: Novianta Muhammad Andang , Syafrudin  , Warsito Budi , Rachmawati Siti
Published: August 2024

Predicting river water quality in the Special Region of Yogyakarta (DIY) is crucial. In this research, we modeled a river water quality prediction system using the artificial neural network (ANN) backpropagation method. Backpropagation is one of the developments of the multilayer perceptron (MLP) network, which can reduce the level of prediction error by adjusting the weights based on the difference in output and the desired target. Water quality parameters included biochemical oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), dissolved oxygen (DO), total phosphate, fecal coliforms, and total coliforms. The research object was the upstream, downstream, and middle parts of the Oya River. The data source was secondary data from the DIY Environment and Forestry Service. Data were in the form of time series data for 2013–2023. Descriptive data results showed that the water quality of the Oya River in 2020–2023 was better than in previous years. However, increasing community and industrial activities can reduce water quality. This was concluded based on the prediction results of the ANN backpropagation method with a hidden layer number of 4. The prediction results for period 3 in 2023 and period 1 in 2024 are that 1) the concentrations of BOD, fecal coli, and total coli will increase and exceed quality standards, 2) COD and TSS concentrations will increase but will still be below quality standards, 3) DO and total phosphate concentrations will remain constant and still on the threshold of quality standards. The possibility of several water quality parameters increasing above the quality standards remains, so the potential for contamination of the Oya River is still high. Therefore, early prevention of river water pollution is necessary.
Modelos de negócios e economia da confiança:
Authors: Bezerra Costa Ramon
Published: August 2024

Este artigo reflete sobre modelos de negócios na Comunicação utilizando revisão bibliográfica e análise de vinte e uma plataformas da economia da confiança escolhidas por amostragem intencional. Busca-se compreender quais elementos compõem esses modelos de negócios, evidenciando que tais modelos não se resumem à geração de receita, como geralmente são tratados, mas concernem ao arranjo de elementos visando a produção e o compartilhamento de sentidos. O objeto empírico foi escolhido pela presença cada vez maior das plataformas no cotidiano e pela economia da confiança exprimir um processo comunicacional.
encanto do “tômpero”:
Authors: SANTOS Alliston Fellipe Nascimento dos
Published: August 2024

O programa de competição gastronômica MasterChef Brasil é um dos principais produtos da Band, emissora de televisão aberta brasileira. Com o sucesso e repercussão do reality-show, conquistou a simpatia da audiência. Neste sentido, o objetivo do artigo é compreender a relação que o programa estabelece com o seu público a fim de entender os principais motivos para o consumo de tal programação televisiva. Os pressupostos metodológicos fundamentam-se na abordagem teórica dos Usos e Gratificações. Para obtenção dos dados exploratórios foram realizadas entrevistas em profundidade com telespectadores que se autodeclararam público do MasterChef Brasil, categorizando os resultados mais relevantes das motivações para acompanhar o reality, sendo eles: qualidade técnica, representatividade e aprendizagem.
Harmonizing Midlife Motherhood
Authors: Komalasari Rita
Published: August 2024

Perimenopause is a complex period in women's lives. This period is marked by emotional, societal, and physiological challenges, which can be particularly challenging for women over 40. This research aims to explore the emotional, societal, and physiological challenges faced by these women during perimenopause and to redefine the paradigms of motherhood and ageing. The study uses a literature study approach to explore the narratives surrounding achieving first-time motherhood in midlife, the intensive caregiving responsibilities, the disjunction between societal norms and biological realities, and the uncertainties of perimenopausal changes. The findings provide valuable insights for healthcare providers and enrich our understanding of women's experiences at the intersection of midlife, motherhood, and perimenopause.
Developing Explainable AI Models to Identify Perimenopause Symptoms
Authors: Mall Prachi , Raina Deepika
Published: August 2024

Perimenopausal transition is a natural phase in every woman's life that is often marked by a range of physical and psychological symptoms that can remarkably impact the quality of life. The gradual decline in oestrogen levels leads to a wide array of symptoms, including mood swings, hot flashes, sleep disturbances, and irregular menstrual cycles. Managing perimenopausal symptoms effectively requires accurate detection and timely intervention to alleviate discomfort and optimise quality of life. AI-powered early identification and management of these symptoms are crucial for women's health and well-being. Machine learning techniques with the use of large datasets, self-reported symptoms, and clinical records offer a powerful tool for analysing complex patterns to achieve high accuracy and reliability in symptom recognition. AI-driven devices can aid in symptom tracking, personalised applications, remote monitoring, predictive analytics, and treatment efficacy assessment, thus improving clinical decision-making, patient outcomes, and the overall quality of women's health.
Advanced Techniques in Machine Learning for Perimenopause
Authors: Sar Ayan , Choudhury Tanupriya , Sille Roohi
Published: August 2024

The perimenopausal phase in a woman's life often represents a complex and pivotal period, which is also characterised by a multitude of physiological and psychological changes in her body. Therefore, it becomes more crucial to understand these transitions to promote women's sound health and quality of life. This chapter exerts itself to explore the potential of advanced machine learning algorithms and techniques in the address of perimenopause to menopause transition. The methodology followed in this exploration involves a progressive approach, from exploring diverse datasets relevant to perimenopausal health and delving into feature engineering for the refinement of pertinent features to construct robust machine learning models. A specialised focus will also be given to natural language processing (NLP) techniques for the analysis of text descriptions of menopausal symptoms. This chapter seeks to contribute valuable insights to the extensive discourse on the proper utilisation of AI for personalised interventions and in improving healthcare delivery.
Advancing Autonomous Driving Through Federated Learning
Authors: Allawadi Khushi , Panwar Shreya , Chugh Mitali
Published: August 2024

Autonomous driving is a widely studied field in both academic and industrial areas. Current solutions primarily concentrate on enhancing accuracy through centralized training using vast amounts of data. Continuous improvement of autonomous driving is essential to ensure safety, efficiency, and adaptability. This chapter will give a sight of intelligent, autonomous, and multi-agents in collaboration with AI. Furthermore, it will include some existing examples of autonomous driving cars. In conjunction with the concerns, the chapter will include a better understanding of federated learning and how we can practically implement it. The authors will delve into the principles, benefits, and challenges associated with federated learning in the context of autonomous driving. Also, the chapter will dive deeply into the challenges faced using centralized learning in self-driving cars and will explain the techniques and solutions to overcome the same problems and techniques for performance evaluation and optimization, along with case studies and real-world implementations. The final result of this chapter is the solution proposed regarding a safer approach for operation of autonomous vehicles, which is Federated Learning; a decentralized approach to machine learning that leverages the power of distributed computing and collaboration to enable efficient and privacy-preserving machine learning on de-centralized datasets. To make significant advances in autonomous vehicle technology, while protecting the privacy of individuals, this enables a pooling of intelligence among various entities like vehicles. The chapter highlights the collaborative approach that drives its success, exploring the concept of advancing autonomous driving through Federated Learning.
Community Engagement and Stakeholder Collaboration for Inclusive E-Banking
Authors: Jain Piyush Kumar , Bhagat Prashant H.
Published: August 2024

In the ever-evolving landscape of Industry 6.0, where digitalization and sustainability are paramount, the banking sector stands at a crucial crossroads. E-banking, while promising efficiency and accessibility, also brings forth challenges of inclusivity and sustainability. This chapter proposes a sustainable innovation approach that hinges on community engagement and stakeholder collaboration to foster inclusive e-banking practices. By integrating the principles of sustainability, technological innovation, and stakeholder participation, this approach aims to create a banking ecosystem that caters to the diverse needs of all stakeholders while ensuring long-term viability. Drawing insights from various industries, this chapter presents a framework for implementing inclusive e-banking solutions that prioritize social, environmental, and economic sustainability. Through active involvement of communities and collaboration with stakeholders, banks can leverage Industry 6.0 advancements to drive positive societal impact and foster financial inclusion for all.
Strategic HRM Techniques and Sustainable Innovation for Industry 6.0
Authors: Minz Nitish Kumar
Published: August 2024

This chapter critically examines the symbiotic relationship between strategic human resource management (HRM) techniques and sustainable innovation strategies in shaping the trajectory of Industry 6.0. Through a thorough synthesis of existing literature, it highlights HRM's significance in addressing the multifaceted challenges of Industry 6.0, including dynamic workforce demands and technological disruptions. Additionally, it delves into how HRM practices can be tailored to meet these challenges while also integrating sustainable innovation strategies to foster long-term industrial development. By elucidating this strategic interplay, the chapter offers insights into leveraging human capital and innovative practices synergistically, providing a roadmap for achieving enduring industrial success in Industry 6.0.
Optimizing Ordering Policies for Bullwhip Effect Mitigation in a Simple Supply Chain Within the Framework of Industry 6.0
Authors: Singh Ritesh Kumar , Tiwari Sanjiv Kumar , Kumar Kaushik
Published: August 2024

The advent of Industry 6.0 has ushered in a new era of smart and interconnected manufacturing, posing both challenges and opportunities for supply chain management. The bullwhip effect is a significant problem observed in forecast-driven supply chains and is the major cause of disturbance in a supply chain. The bullwhip effect, or the whiplash effect, amplifies demand forecast variance as the echelons of the supply chain increase. Optimization of ordering policy is one important way of suppressing BWE. In this work, an ordering policy optimization model based on Sterman's model has been proposed. In the proposed model, new factors based on demand-forecast pattern, in conjugation with stock adjustment and supply lag adjustment, and mathematical formulation for enumeration of these factors, have been introduced to optimise the ordering policy. A comparative study of the proposed model with various existing models has also been presented to highlight its effectiveness.
The Utilization of Artificial Intelligence in the Health Care Sector
Authors: Kumari Geeta , Srivastava Ambar , Hansraj Bhandari
Published: August 2024

Artificial Intelligence (AI) is becoming an integral part of almost all the sectors of the economy and healthcare is not an exception. Artificial intelligence (AI) applications have transformed the healthcare industry. The aim of this chapter is to review the application of AI in healthcare sector and also explores the challenges in the adoption of artificial intelligence on the same. The authors conducted a thorough review of literature available and also used other secondary sources of data. It was found that, clinical choices, patient information and testing, predictive medical practice and health management of services are the key areas of interest in this AI era. Privacy and data protection was amongst the important challenges of AI in healthcare sector. It is suggested that, there is a need of certificate programs and courses on artificial intelligence, regulations pertaining to AI in healthcare should be implemented so that the challenges of privacy and confidentiality would be resolved.
Technological Innovation and Accounting in Industry 6.0
Authors: Srivastava Ambar , Kumari Geeta , Pathania Ankit
Published: August 2024

The way we live, work and play are being changed by the use of technology. Technology's influence is transforming our daily lives. Since COVID-19, more businesses than ever have realized the benefits of digital solutions and are embracing them. While the epidemic has disrupted the way businesses across industries have traditionally operated, it has also created opportunities to use cutting-edge technologies like virtual reality, artificial intelligence, etc. to aggressively revolutionize business methods. This chapter will provide insights into the cutting-edge accounting technologies actively reshaping the sector. The methodology, which is qualitative in nature, entails the thematic examination of the academic literature to discover new technologies like blockchain, data analytics, robotic process automation, artificial intelligence, etc. along with their applications, significance, drawbacks and possible industrial effects. The purpose of the paper is to serve as an addition to the literature on technological innovations in the field of accounting and finance.
Effects of sidewall opening areas on the performance of broiler chickens and the indoor climatic conditions of backyard poultry building
Authors: Jongbo Ayoola Olawole
Published: August 2024

Sidewall openings play an important role in the indoor conditions of livestock buildings. It influences airflow patterns, air velocity distribution at the animal-occupied zones and the illumination level in the naturally ventilated animal building. However, there is a paucity of information on the effects of sidewall opening areas on the performance of broiler chickens. Hence, this study investigated the effect of sidewall opening areas on the indoor condition and the body growth of broilers. Two buildings with different sidewall opening areas were developed with broiler chickens reared in them for 28 days. The results showed that air temperatures and relative humidity of the buildings were influenced by the outdoor temperature. The indoor air temperatures of the building exceeded the recommended thermal conditions (18 to 24ºC) for broiler chickens. Similarly, the temperature-humidity index of the building exceeded 21.0ºC recommended for broilers which could result in heat stress and poor performance of broiler chickens during extremely hot weather periods. It was also found in this study that broiler chickens could not perform optimally though they were fed ad libitum. Therefore, further studies are required to ascertain the impact of sidewall opening areas on broiler performance, behaviour and physiological responses.
Malaysian Rainwater Harvesting System for In-House Power Generation
Authors: Ismail Firas Basim , Fahmy Muhammad Idzmir , Abed Azher M. , Kazem Hussein A. , Chaichan Miqdam T. , Rahmat Muhammad Aqil Afham
Published: August 2024

Energy harvesting monitoring systems have become more important as the Internet of Things (IoT) have grown. An intelligent system to monitor rainwater harvesting at UNITEN COE BN is being designed and developed in this study. Rainwater harvesting operations will be improved by developing an intelligent system. Monitoring techniques are studied, and sensors are designed for simulation. Smart rainwater harvesting systems are designed and implemented in this study, contributing to the field of smart monitoring systems. Rainwater collection, storage and usage are monitored and analyzed with smart sensors and data acquisition systems. Water turbine speed, voltage, and rainfall intensity are monitored by sensors in the developed system. Data from sensors is processed in Python GUIs. Visual displays allow users to monitor the rainwater harvesting system remotely. Durability and infrastructure compatibility are considered when selecting materials. It is found that smart rainwater harvesting system performance and reliability can be improved through simulation testing and validation. The study concluded that, storm water resources can be optimized by accessing real-time information.
Powder Bed Fusion Techniques in Metal 3D Printing: A Review
Authors: Khan Rehbar , Rasool Inayat , Afzal Mohammad , Khan Ateeb Ahmad
Published: August 2024

The use of 3D printing (additive manufacturing) with metal has grown significantly in demand recently, greatly reducing the time and expense required to produce complex interconnected metal components. This method minimizes material wastage, facilitates material recycling, and eliminates the need for support materials. Among the various Metal Additive Manufacturing techniques, Powder Bed Fusion (PBF) processes stands out as the most prevalent for manufacturing parts. Within the realm of PBF, electron beam melting technique, selective laser sintering technique, and selective laser melting technique are the primary methods employed. Selective laser melting and selective laser sintering operate without the need for any special conditions, unlike EBM, which necessitates a vacuum environment. Regarding the choice of materials, laser melting/sintering processes are suitable for almost all types of metals except those which surpasses beam melting capabilities. While electron beam melting is constrained to a few materials such as titanium alloys, cobalt and chromium alloys, and nickel alloys, whereas selective laser melting and sintering allows for a broad range of materials, including iron and steel alloys. However, electron beam melting exhibit the ability to process brittle materials that would typically be challenging for melting and sintering through laser. Nevertheless, the ductility, yield testing, and ultimate testing of materials created through EBM are inferior to those processed by laser methods. Although all PBF techniques excel at creating complex structures, finishing products to have a smooth surface directly over a rough surface remains a subject of ongoing research. To attain suitable mechanical properties such as hardness, tensile strength, and endurance, critical process factors include power of laser or beam, speed for scanning, density for powder bed, thickness of laser or beam, and material characteristics. Inadequate material selection coupled with incorrect process settings can lead to issues such as porosity, slag formation, and other flaws.
Estimating Helicopter Noise Abatement Information with Machine Learning
Authors:   NASA Langley Research Center, Greenwood Eric
Published: August 2024

Machine learning techniques are applied to the NASA Langley Research Center's expansive database of helicopter noise measurements containing over 1500 steady flight conditions for ten different helicopters. These techniques are then used to develop models capable of predicting the operating conditions under which significant Blade-Vortex Interaction noise will be generated for any conventional helicopter. A measure for quantifying the overall ground noise exposure of a particular helicopter operating condition is developed. This measure is then used to classify the measured flight conditions as noisy or not-noisy. These data are then parameterized on a non-dimensional basis that defines the main rotor operating condition and are then scaled to remove bias. Several machine learning methods are then applied to these data. The developed models show good accuracy in identifying the noisy operating region for helicopters not included in the training data set. Noisy regions are accurately identified for a variety of different helicopters. One of these models is applied to estimate changes in the noisy operating region as vehicle drag and ambient atmospheric conditions are varied.
Dengue Fever Manifesting as Haemorrhagic Bullae: A Rare Presentation
Authors: Choi Jeewoo , Byun Ji Yeon , Choi You Won , Roh Joo Young , Choi Hae Young , Lee Heera
Published: August 2024

Dengue fever, a viral disease transmitted by Aedes mosquitoes, is a global health problem affecting millions of people each year. It is prevalent in tropical and subtropical areas, with epidemic potential due to climate change and increased travel. The disease commonly presents with cutaneous symptoms such as erythema, maculopapular rash and minor haemorrhagic lesions. This case is notable for the unusual presentation of haemorrhagic bullae, resembling drug eruption or autoimmune bullous disease. In the field of dermatology, tropical diseases like dengue have rarely been discussed. However, the recent increase in cases in Southeast Asia highlights the need for dermatologists to become familiar with dengue, as it often presents with diverse skin rashes. Herein, we report an unusual case of dengue fever presenting with haemorrhagic bullae.
Understanding pregabalin misuse and dependence: Insights from a North Indian addiction treatment center
Authors: Ghosh Abhishek , Shukla Shantanu , Dhankar Mondeep , Naik Shalini S. , Subodh BN , Basu Debasish
Published: August 2024

Background:

Pregabalin, approved for various medical conditions, has shown increasing misuse potential globally. However, limited research exists on pregabalin dependence in India. This study aimed to investigate the prevalence and characteristics of pregabalin dependence among individuals seeking substance use disorder (SUD) treatment in North India.

Methods:

A cross-sectional, analytical study was conducted on patients enrolled between August 2022 and July 2023 at an academic institution-based addiction treatment center. Case records of patients with pregabalin dependence were retrieved and compared with controls with opioid dependence but no history of pregabalin use.

Results:

Among 3766 registered patients, 135 had pregabalin dependence (prevalence: 3.58 per 100 registered patients). Pregabalin-dependent patients were male, with a median usage duration of eight months and a median daily dose of 1200 mg. Most had concurrent opioid dependence, primarily heroin, used via the injection route. The odds of pregabalin dependence among those with opioid dependence were significantly higher than those with other substance dependence (OR 1.44, 95% CI 1.13–1.85). Reasons for pregabalin use included opioid craving reduction, sedation, and euphoria. Patients with pregabalin dependence were more likely to have lower socioeconomic status (P < 0.0001) and urban residence (P = 0.032), an earlier age of substance use initiation (P = 0.02) and treatment seeking (P < 0.0001), and a higher co-occurrence of psychiatric disorders (P = 0.007) and less occurrence of alcohol dependence (P = 0.03).

Conclusion:

Findings underscore the need for heightened awareness, screening, and intervention efforts targeting pregabalin misuse within SUD treatment. Further research should focus on longitudinal studies to elucidate pregabalin dependence’s trajectory.
Takayasu Arteritis with Congestive Heart Failure in a 16-year-old Indian Male Child
Authors: Mehra Manisha , Joshi Poonam , Sahu Ankit Kumar , Tiwari Surya Kant
Published: August 2024

Takayasu arteritis (TA) is a rare inflammatory disease affecting medium- to large-sized vessels, notably the aorta and its branches, posing significant challenges due to arterial obstruction. We present the case of a 16-year-old Indian male with recurrent hospitalizations for congestive heart failure, eventually diagnosed with TA. Clinical examination revealed discrepancies in blood pressure, absent pulse in the left leg, and cardiovascular abnormalities. Laboratory findings indicated inflammation, and imaging confirmed arterial involvement. Treatment involved immunosuppressive therapy and symptomatic management. Despite diagnostic and therapeutic challenges, the patient showed improvement after 3 months. This case shows diverse clinical manifestations, diagnostic complexities, and the importance of a multidisciplinary approach to management. Further research is crucial in understanding mechanisms and optimizing therapeutic strategies for this rare vasculitis.
The Role of Private Practitioners in Bridging the Healthcare Gap and Achieving Universal Health Coverage in India
Authors: Khan Imran Ahmed , Priyanka Neha , Mitra Shaila Kumari , Lahariya Anita Upadhyay , Vaz Rodney P. , Lahariya Chandrakant
Published: August 2024

abstract

In a mixed Healthcare System such as India, private practitioners or private sector Health care providers play a significant role in providing health care to the community. This is especially true in settings where public healthcare systems are overburdened and face challenges in providing universal and timely access to medical services. The availability of ample private healthcare options allows patients to receive the medical care they receive where individuals can select the provider that aligns with their preferences, timings and needs and enhance overall patient satisfaction. Although private practitioners have the potential to bridge healthcare gaps, there are also challenges faced by the private healthcare sector. A proper balance and cooperation between the public and private sectors are a must for achieving Universal Health Coverage (UHC). Integrating private practitioners into UHC should be tailored to each country’s context and demand. When private practitioners collaborate with public healthcare, they can collectively bridge gaps, improve general access and improve service quality.
The mutual effect of progesterone and vitamin D in an animal model of peripheral nerve injury
Authors: Nasirzadeh Sedighe , Hamidi Gholam Ali , Banafshe Hamid Reza , Tehrani Monireh Naderi , Shabani Mohammad , Abed Alireza
Published: August 2024

Background and purpose:

Experimental and clinical studies have shown the potential role of progesterone in relieving neural injury. In addition, emerging data on vitamin D, a steroid hormone, have shown its neuroprotective properties. This study was designed to evaluate the mutual effect of vitamin D and progesterone on neuropathic pain (NP) in male rats.

Experimental approach:

Chronic constriction injury (CCI) was induced by inserting four ligatures around the sciatic nerve. Hyperalgesia and allodynia (cold and mechanical) were considered positive behavioral scores of NP. After surgery, Sprague Dawley male rats (weighing 200-250 g) were assigned into 7 groups. Vitamin D (250 and 500 units/kg/day, i.p.) and progesterone (4 and 6 mg/kg/day, i.p.) were injected from the 1st day after CCI which continued for 21 days. Moreover, one group received the co-administration of vitamin D (500 units/kg/day, i.p.) and progesterone (6 mg/kg/day, i.p.) from the 1st day until the 21st post-CCI day. Behavioral tests were performed on the 7th, 14th, and 21st days.

Findings/Results:

Daily supplementation with vitamin D (250 and 500 units/kg) did not alter nociception. Progesterone (4 and 6 mg/kg/day) was ineffective on thermal hyperalgesia. In the allodynia test, progesterone significantly decreased pain-related behaviors. The co-administration of vitamin D (500 units/kg/day) with progesterone (6 mg/kg/day) significantly relieved thermal hyperalgesia. Finally, the combination significantly decreased cold and mechanical allodynia.

Conclusion and implications:

This study showed the mutual effect of progesterone and vitamin D on NP for the first time. Hyperalgesia and allodynia were significantly relieved following co-administration of vitamin D and progesterone.
Short term effectiveness of ustekinumab versus vedolizumab in Crohn’s disease after failure of anti-TNF agents: An observational comparative study design with a Bayesian analysis
Authors: Alamer Ahmad , Al Lehaibi Lina H , Alomar Mukhtar , Aldhuwayan Fahad , Alshouish Saleh , Al-Ali Anfal Y , Almudhry Zakia , Almulhim Abdulaziz , Althagafi Abdulhamid , Aldosari Saad , AlAmeel Turki
Published: August 2024

Background:

Crohn’s disease (CD) is a debilitating gastrointestinal disease with complex etiology. Although effective, recipients of anti-tumor necrosis factor (TNF) agents may experience primary or secondary nonresponse, necessitating alternative treatments. This study is intended to compare the short-term effectiveness of ustekinumab and vedolizumab in treating CD after failure of multiple lines of anti-TNF therapy using real-world data.

Methods:

A retrospective study was conducted at a tertiary hospital in Dammam, Saudi Arabia, including adults (≥18 years old) with CD who did not respond to anti-TNF therapy. Primary endpoints were clinical improvement per the Harvey–Bradshaw Index (HBI) scores and remission at 12 weeks on an ordinal outcome scale. Secondary endpoints included clinical, biochemical, and endoscopic remission; clinical response; corticosteroid-free days; and cumulative steroid dose. Proportional odds and logistic regression Bayesian models were used to analyze outcomes, and the probability of treatment effectiveness was calculated from the posterior distribution.

Results:

The study included 101 patients (ustekinumab, n = 71 and vedolizumab, n = 30) with a median age of 32 years (IQR: 26.0–38.0); 54.4% were male. At 12 weeks, the HBI endpoint showed an adjusted odds ratio (aOR) = 0.60 (95% confidence interval [CI]: 0.25–1.31), favoring ustekinumab, with a 75% probability of treatment effectiveness over vedolizumab. The clinical ordinal scale had an aOR = 0.61 (95% CI: 0.26–1.35) with a 73% probability of effectiveness for ustekinumab. Ustekinumab was also associated with favorable outcomes in secondary endpoints, reaching up to a 90% probability of effectiveness.

Conclusion:

In CD patients with anti-TNF failure, ustekinumab was more effective than vedolizumab in the short term. These real-world insights contribute to understanding CD management but require validation in larger prospective studies and randomized controlled trials.
Toward a new approach to treating tumors: Inducing apoptosis by combining chemotherapy and mild hyperthermia
Authors: Paulson James R.
Published: August 2024

Our studies on the effects of mild hyperthermia (≤ 42°C) on prometaphase-arrested and interphase HeLa cells are reviewed. Mild heat treatment rapidly induces apoptosis in H-HeLa cells that have been arrested in prometaphase with spindle poisons. This is shown by the appearance of morphological changes characteristic of apoptosis, the activation of Caspase 3, and the fact that the changes are blocked by caspase inhibitors such as zVAD-fmk. The same treatment does not cause apoptosis in interphase cells, or in prometaphase-arrested cells of other HeLa strains such as HeLa S3, MKF, and WML. However, prometaphase-arrested cultures of those other HeLa strains can be made sensitive to mild heat treatment by simultaneous exposure to compounds such as navitoclax (ABT-263) which inhibit Bcl-2 family anti-apoptotic proteins. Interphase cells can be made sensitive to 42°C treatment by combining ABT-263 or ABT-199 with S63845, a potent and selective inhibitor of MCL-1. These studies suggest that it might be possible to find a treatment for tumors that combines systemic drug treatment with localized hyperthermia. Clues to how that might be achieved are discussed.
A Study of Acoustic Parameters of Transformer Oil Based on Its Water Content Utilizing a Single Ultrasonic Sensor
Authors: Firnanda Pristiana Nurmaida  , Agus Indra Gunawan  , Raden Sanggar Dewanto
Published: August 2024

The health of a transformer is affected by several aspects, including water content in transformer oil. Researchers have introduced various techniques for measuring water content in transformer oil. In the case of acoustical measurement, researchers typically utilize two ultrasonic sensors to detect acoustical parameters. This study proposes a novel technique to characterize transformer oil based on its water content using a single ultrasonic sensor. This technique employs an indirect measurement approach, where a substrate separates the oil from the sensor. The echoes from measurements are observed and presented in terms of three acoustical parameters, i.e., the acoustic speed, acoustic impedance, and density. Based on measurement results, the acoustic speed of the samples is successfully calculated from the time of flight. and the thickness of the chamber. However, only four materials used as substrate 1, i.e., 3mm, 5mm, 8mm acrylic, and 3mm glass, successfully produce similar plots of acoustic impedance and density.
Pengaruh Penambahan Bahan Polymer Thermosetting Sebagai Bahan Additive pada Campuran Beton Aspal AC-WC
Authors: Asya Aldin Muhammad
Published: August 2024

Jalan campuran beton aspal sering mengalami kegagalan. Penyebab kegagalan yang paling dominan adalah air. Aspal yang secara alami terbuat dari minyak, tidak akan pernah bisa menyatu dengan air. Dengan demikian, ketika ada air yang memasuki rongga yang ada pada campuran beton aspal, maka campuran tersebut akan mengalami kerusakan. Tujuan penelitian ini adalah untuk mengetahui bahwa bahan polymer thermosetting dapat digunakan sebagai bahan tambahan diperkerasan jalan. Pada penelitian ini dilakukan pengujian campuran aspal beton menggunakan variasi kadar aspal 5,31%; 5,81%; 6,31%; 6,81% dan 7,31% diperoleh kadar aspal optimum pada campuran aspal beton dengan kadar aspal 7,31%. Nilai parameter Marshall pada kadar aspal 7,31% diperoleh nilai stabilitas sebesar 2234,31 kg, flow sebesar 3,65 mm, Marshall Quotient sebesar 607,63 kg/mm, nilai VIM sebesar 4,66%, nilai VMA sebesar 18,47% dan nilai VFA sebesar 74,86%. Sedangkan untuk pengujian karakteristik Marshall dengan nilai variasi polymer dari pengujian campuran aspal beton menggunakan variasi kadar polymer 2%, 4%, 6%, 8% dan 10% diperoleh kadar polymer optimum pada campuran aspal beton dengan variasi polymer 9%. Nilai parameter Marshall pada kadar polymer 9% diperoleh nilai dengan nilai stabilitas sebesar 2082,3 kg, flow sebesar 3,89 mm, Marshall Quotient sebesar 607,63 kg/mm, nilai VIM sebesar 4,66%, nilai VMA sebesar 18,47% dan nilai VFA sebesar 74,86%. Hasil pengujian Marshall dengan kadar polymer 9% telah memenuhi syarat pada Spesifikasi Umum Bina Marga Tahun 2018 dengan nilai stabilitas minimum sebesar 800 kg, nilai flow minimum 2 mm maksimum 4 mm, nilai VMA minimum sebesar 15%, nilai VFA minimum sebesar 65% dan nilai VIM minimum sebesar 3% maksimum 5%. Sehingga, kadar polymer optimum yang dapat diambil yaitu pada kadar polymer 9%.
Pengaruh Citra Merek, Layanan Trade In Terhadap Keputusan Pembelian Produk Smartphone Oppo di Konter Kirana Store Gresik
Authors: Teguhati Muhamad Setiel , Fadhillah Is
Published: August 2024

Penelitian ini bertujuan untuk mengetahui dan menganalisis Pengaruh Citra Merek dan Layanan Trade-In HP second terhadap keputusan pembelian produk smartphone OPPO di Konter Kirana Store, Gresik. Penelitian ini menggunakan metode deskriptif kuantitatif. Populasi dalam penelitian ini adalah semua konsumen yang melakukan keputusan pembelian smartphone OPPO pada konter Kirana Store Gresik yang berjumlah 160 orang yang diambil dari data konsumen pembeli smartphone oppo dalam waktu 3 bulan (September, Oktober, dan Nopember 2023). Sedangkan dalam penentuan jumlah sampel menggunakan rumus slovin sebesar 62 responden. Dengan teknik pengambilan sampel random sampling. Teknik analisis data yang digunakan ialah menggunakan Analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa citra merek OPPO memiliki pengaruh yang signifikan terhadap keputusan pembelian produk smartphone OPPO di Konter Kirana Store, Gresik. layanan trade-in HP second yang signifikan terhadap keputusan pembelian produk smartphone OPPO di Konter Kirana Store, Gresik.
PERAN GURU DALAM ADMINISTRASI KURIKULUM
Authors: Kamus  , Yuni Purnama Sari
Published: August 2024

Administrasi kurikulum adalah semua proses usaha yang telah terencana dan diusahakan secara sengaja dan bersungguh-sungguh serta pembinaan secara berkelanjutan pada kegiatan belajar mengajar secara efektif dan efisien demi mencapai tujuan pendidikan yang telah ditetapkan. Adapun tujuan penulisan artikel ini adalah untuk mengetahui seperti apa proses kegiatan administrasi kurikulum dan bagaimana peran guru dalam mengimplementasikan administrasi kurikulum di sekolah. Dalam penulisan artikel ini peneliti menggunakan metode penelitian kajian kepustakaan atau library research yaitu meneliti dengan cara membaca buku yang ada di perpustakaan terkait materi yang akan dikaji dan membaca beberapa artikel atau jurnal terkait. Hasil dari penulisan artikel ini yaitu proses administrasi kurikulum yang meliputi empat komponen penting yaitu perencanaan, pelaksanaan, pengawasan dan evaluasi, serta guru yang sabfat berperan penting dalam pengimplementasian administrasi kurikulum, yang dimana guru berperan sebagai implementer (pelaksana kurikulum), adapters (penyelaras kurikulum), developers (pengembang kurikulum) dan researches (peneliti hasil implementasi kurikulum). Dari hasil pembahasan dapat disimpulkan bahwa administrasi kurikulum itu sangat penting dan peran guru sangatlah dibutuhkan dalam pelaksanaan administrasi kurikulum demi tercapainya suatu tujuan pendidikan. Semoga artikel ini dapat menjadi rujukan tambahan untuk penulisan artikel selanjutnya.
The Influence of Financial Literacy, Financial Technology and Financial Self-Efficacy on Financial Inclusion
Authors: Pamungkas Wihandaru Sotya , Setyani Sherly Rehula
Published: August 2024

This research aims to find empirical evidence of the influence of financial literacy (FLT), financial technology (FTC), and financial self-efficacy (FSE) on financial inclusion (FIC). This research is based on inconsistent previous research findings. This research uses a sample of students still actively studying at Universitas Muhammadiyah Yogyakarta (UMY). The sampling method uses purposive and convenience sampling, namely active students from the 2019-2022 class and easy to find. Data was obtained by distributing questionnaires using Google Forms from 180 respondents. The analysis tool uses structural equation modeling (SEM). The analysis results found that FLT, FTC, and FIC had a positive effect on FSE. This finding implies that individuals and society can access financial products and services because they know the availability of technology and the belief that using financial products and services has benefits.
Metode Penelitian Tindakan Kelas (PTK): Panduan Praktis untuk Guru dan Mahasiswa di Institusi Pendidikan
Authors: Utomo Prio , Asvio Nova , Prayogi Fiki
Published: August 2024

Kegiatan penelitian dalam dunia pendidikan (di sekolah) merupakan hal wajib untuk dilakukan oleh setiap guru. Tujuan penelitian ini untuk merepresentasikan metode penelitian tindakan kelas (PTK) sebagai panduan praktis untuk guru di institusi pendidikan (sekolah). Desain penelitian menggunakan metode Systematic Literature review (SLR). Penelitian ini dilaksanakan pada tahun 2024, objek penelitian ini yaitu metode penelitian tindakan kelas (konsep teori dan praktik). Data-data yang dipilih dalam pengumpulan data yaitu data yang memiliki relevansi dengan objek penelitian yaitu hasil-hasil penelitian tentang metode penelitian tindakan kelas. Prosedur SLR dilaksanakan melalui delapan tahap, meliputi (1) perencanaan; (2) identifikasi literatur; (3) seleksi dan penyaringan; (4) evaluasi kualitas; (5) ekstraksi data; 6) analisis dan sintesis; (7) penyusunan laporan. Hasil dan kesimpulan penelitian mengungkap paradigma penelitian tindakan kelas (PTK) didasarkan pada konsep teoretis-operasional penelitian tindakan. Penelitian tindakan kelas bertujuan untuk memperbaiki kinerja profesional guru. Implikasi hasil penelitian ini dapat dijadikan sebagai bahan pengayaan dan sumber informasi pengetahuan bagi guru di sekolah dan para akademisi, serta sebagai bahan pertimbangan dan referensi baik secara teoretik maupun praktik bagi para guru dan mahasiswa terkait dengan metode penelitian tindakan kelas.
Avaliação da composição corporal, da potência de membros inferiores e da potência anaeróbia de jogadores de futebol: diferenças consoante a posição em campo
Authors: Tereso Diogo , Gamonales José Martín , Petrica João , Ibañéz Sergio , Paulo Rui
Published: August 2024

O objetivo do estudo foi avaliar a composição corporal, a potência de membros inferiores e a potência anaeróbia, comparando as posições em campo de jogadores de futebol. Participaram 81 jogadores de futebol e foram realizadas avaliações de bioimpedância, Countermovement Jump e Running Anaerobic Sprint Test. Verificou-se que existem diferenças na composição corporal, apresentando os guarda-redes e os defesas centrais os valores mais elevados. Relativamente à variável altura, as principais diferenças ocorrem quando comparamos os alas (p< 0.001) com as restantes posições e os defesas centrais em comparação com os médios centros (p= 0.002), e avançados (p= 0.010). Também os alas em relação à maioria das outras posições, na variável massa corporal (p≤ 0.010), massa muscular (p≤ 0.033), massa livre de gordura (p≤ 0.024) e massa gorda (p≤ 0.045). Na avaliação da potência de membros inferiores, verificaram-se diferenças entre os guarda-redes e avançados, na variável maior salto (p= 0.021), por sua vez, foram encontradas diferenças quando comparamos os guarda-redes com os alas, médios centro e avançados (p≤ 0.028) e entre os defesas centrais com os alas, na força máxima produzida (p= 0.002). Nas avaliações de potência anaeróbia, não se verificaram diferenças. Pode-se assim concluir que existem características específicas de composição corporal entre as posições de jogadores de futebol. As posições que envolvem movimentos explosivos e um maior número de ações aéreas, apresentam melhores desempenhos nestas avaliações como se verificou. Por fim, nas avaliações de potência anaeróbia, esta homogeneidade poderá ser explicada pelas exigências comuns que o futebol moderno apresenta.
Palavras chave: Avaliação Corporal; Salto Vertical; RAST; Futebol; Posições de campo.
Resposta de biomarcadores em atletas profissionais de futebol após jogos: uma revisão sistemática
Authors: De Lima e Silva Leandro , Rodrigues dos Santos Douglas , Rolim Lopes Silva Yuri , Alonso Valente dos Santos Luciano , Spineti Juliano , Pereira Salustiano Mallen Giullio César , Gomes de Souza Vale Rodrigo , De Alkmim Moreira Nunes Rodolfo
Published: August 2024

Objetivo: O objetivo desta revisão sistemática foi analisar estudos que investigaram marcadores bioquímicos séricos utilizados para mensurar carga interna em partidas de futebol. Método: A revisão seguiu as recomendações propostas para revisões sistemáticas PRISMA. A revisão da literatura foi realizada até maio de 2023. Foram pesquisadas as bases de dados SPORTDiscus, Scopus, MedLine (via PubMed), Lilacs (via BVS) e Web of Science para encontrar estudos que analisam biomarcadores após partidas de futebol com atletas profissionais do sexo masculino, onde o. foram extraídos os seguintes dados: autor/ano, tamanho da amostra, nível competitivo, características da amostra, exposição, biomarcadores analisados ​​e resultados. A qualidade metodológica foi avaliada pela ferramenta Critical Skills Assessment Program (CASP). Resultados: Quinze artigos de um total de 1.402 identificados na busca foram incluídos na revisão. Esses artigos foram publicados entre 2008 e 2022 e envolveram uma amostra total de 287 atletas de futebol de nível regional, nacional e internacional. Em relação às análises bioquímicas, foram estudados 50 biomarcadores diferentes, dentre os quais a creatina quinase foi o biomarcador mais utilizado nos estudos, juntamente com a lactato desidrogenase e a aspartato aminotransferase. Conclusão: Os resultados indicam que os jogos de futebol impactam diversos biomarcadores, incluindo aqueles relacionados ao dano muscular, resposta hematológica, variações hormonais, função imunológica e estresse oxidativo. A creatina quinase foi o biomarcador mais utilizado devido à sua maior associação com a carga imposta pelo jogo para avaliar o dano muscular.
Palavras-chave: futebol; marcadores biológicos; marcadores de carregamento; rastreamento de jogadores; inflamação
Circulating IGF-1 related exercise associated with improved spatial memory in elderly mice
Authors: Setiawan Hayuris Kinandita , Rivarti Arina Windri , Herawati Lilik , Hidayati Hanik Badriyah , Othman Zulhabri
Published: August 2024

This study examined the correlation between the circulating and hippocampal IGF-1 levels in elderly mice after exercise intervention and evaluated the relationship between circulating and hippocampal IGF-1 levels in improving the spatial memory function of elderly mice. Methods: Nine-month-old female mice were divided into treadmill, swimming, and control groups, each consisting of ten mice. Exercises were carried out for six weeks, five times a week. Before and after training, Y-maze spontaneous alternation tests were carried out for spatial working memory. After six weeks of exercise, hippocampal and circulating IGF-1 levels were measured with the ELISA method. ANOVA was performed to analyze differences between groups. Pearson’s or Spearman’s correlation analysis was performed to assess the correlation of hippocampal and circulating IGF-1 levels with spatial working memory and the correlation between circulating IGF-1 levels and hippocampal IGF-1 levels. Results: The circulating IGF-1 levels significantly increased (p < 0.05) in the treadmill and swimming groups compared to the control, while the hippocampal IGF-1 levels only significantly increased (p < 0.05) in the swimming group. There was a significant correlation between spatial memory and blood IGF-1 levels (p = 0.002), but no significant correlation (p = 0.122) existed between spatial memory and hippocampal IGF-1 levels. There was a significant correlation between serum IGF-1 levels and hippocampal IGF-1 levels (p = 0.028). Conclusion: Circulating IGF-1 levels were correlated with hippocampal IGF-1 levels. However, hippocampal IGF-1 levels had yet to demonstrate any significant correlation with improved memory function
Keywords: IGF-1, exercise, ageing, memory, hippocampus
Comentário ao Acórdão n.º 268/2022 do Tribunal Constitucional português: a aplicação do princípio da proporcionalidade no controlo de restrições aos direitos à reserva da intimidade da vida privada e à autodeterminação informativa
Authors: Soares Farinho Domingos
Published: August 2024

O artigo consubstancia um comentário ao Acórdão n.º 268/2002 do Tribunal Constitucional português de uma perspetiva específica: como é o princípio da proporcionalidade aplicado para controlar restrições impostas pelo legislador aos direitos à reserva da intimidade da vida privada e à auto-determinação informacional. Uma vez que o Acórdão sob comentário diz respeito a uma lei que transpôs uma diretiva da União Europeia (Diretiva 2006/24/CE) – diretiva que foi declarada inválida pelo TJUE – o artigo também compara o modo como o princípio da proporcionalidade é utilizado por ambos os tribunais para controlar restrições similares.