bluuebunny/crossref_metadata_2025 huggingface dataset:
Recovery and Renewal of Co-Design Approaches in Health: Protocol for a Realist Synthesis
Authors: Mallakin Maryam , Langley Joe , Harvey Gillian , Walker Sarah , Raber Caylee , Beyzaei Nadia , Paczka Giorgi Luz A , Holyoke Paul , Sellen Kate
Published: May 2024

Background

The COVID-19 pandemic significantly transformed the landscape of work and collaboration, impacting design research methodologies and techniques. Co-design approaches have been both negatively and positively affected by the pandemic, prompting a need to investigate and understand the extent of these impacts, changes, and adaptations, specifically in the health sector. Despite the challenges that the pandemic imposed on conducting co-design and related projects, it also encouraged a re-evaluation of co-design practices, leading to innovative solutions and techniques. Designers and researchers have explored alternative ways to engage stakeholders and end users, leveraging digital workshops and participatory digital platforms. These adaptations have the potential to enhance inclusivity, allowing for a wider range of individuals to contribute their perspectives and insights through co-design and thus contribute to healthcare change.

Objective

This study aims to explore the impacts of the pandemic on co-design and related practices, focusing on co-design practices in healthcare that have been gained, adapted, or enhanced, with a specific focus on issues of equity, diversity, and inclusion.

Methods

The study uses a realist synthesis methodology to identify and analyze the effects of the pandemic on co-design approaches in health, drawing on a range of sources including first-person experiences, gray literature, and academic literature. A community of practice in co-design in health will be engaged to support this process.

Results

By examining the experiences and insights of professionals, practitioners, and communities who were actively involved in co-design and have navigated the challenges and opportunities of the pandemic, we can gain a deeper understanding of the strategies, tools, and techniques that have facilitated effective co-design during the pandemic, contributing to building resilience and capacity in co-design in health beyond the pandemic.

Conclusions

By involving community partners, community of practice (research), and design practitioners, we expect closer proximity to practice with capacity building occurring through the realist process, thus enabling rapid adoption and refinement of new techniques or insights that emerge. Ultimately, this research will contribute to the advancement of co-design methodologies and inform the future of co-design in health.

International Registered Report Identifier (IRRID)

DERR1-10.2196/58318
Mining Real-World Big Data to Characterize Adverse Drug Reaction Quantitatively: Mixed Methods Study (Preprint)
Authors: Yue Qi-Xuan , Ding Ruo-Fan , Chen Wei-Hao , Wu Lv-Ying , Liu Ke , Ji Zhi-Liang
Published: May 2024

BACKGROUND

Adverse drug reactions (ADRs), which are the phenotypic manifestations of clinical drug toxicity in humans, are a major concern in precision clinical medicine. A comprehensive evaluation of ADRs is helpful for unbiased supervision of marketed drugs and for discovering new drugs with high success rates.

OBJECTIVE

In current practice, drug safety evaluation is often oversimplified to the occurrence or nonoccurrence of ADRs. Given the limitations of current qualitative methods, there is an urgent need for a quantitative evaluation model to improve pharmacovigilance and the accurate assessment of drug safety.

METHODS

In this study, we developed a mathematical model, namely the Adverse Drug Reaction Classification System (ADReCS) severity-grading model, for the quantitative characterization of ADR severity, a crucial feature for evaluating the impact of ADRs on human health. The model was constructed by mining millions of real-world historical adverse drug event reports. A new parameter called Severity_score was introduced to measure the severity of ADRs, and upper and lower score boundaries were determined for 5 severity grades.

RESULTS

The ADReCS severity-grading model exhibited excellent consistency (99.22%) with the expert-grading system, the Common Terminology Criteria for Adverse Events. Hence, we graded the severity of 6277 standard ADRs for 129,407 drug-ADR pairs. Moreover, we calculated the occurrence rates of 6272 distinct ADRs for 127,763 drug-ADR pairs in large patient populations by mining real-world medication prescriptions. With the quantitative features, we demonstrated example applications in systematically elucidating ADR mechanisms and thereby discovered a list of drugs with improper dosages.

CONCLUSIONS

In summary, this study represents the first comprehensive determination of both ADR severity grades and ADR frequencies. This endeavor establishes a strong foundation for future artificial intelligence applications in discovering new drugs with high efficacy and low toxicity. It also heralds a paradigm shift in clinical toxicity research, moving from qualitative description to quantitative evaluation.
Exploring the Knowledge, Attitudes, and Perceptions of Hospital Staff and Patients on Environmental Sustainability in the Operating Room: Quality Improvement Survey Study (Preprint)
Authors: Stachura Nicole Kasia , Brar Sukham K , Davidson Jacob , Wilson Claire A , Dann Celia , Apostol Mike , Vecchio John , Bilodeau Shannon , Gunz Anna , Casas-Lopez Diana Catalina , Noppens Ruediger , Leslie Ken , Strychowsky Julie E
Published: May 2024

BACKGROUND

In Canada, the health care system has been estimated to generate 33 million metric tons of greenhouse gas emissions annually. Health care systems, specifically operating rooms (ORs), are significant contributors to greenhouse gas emissions, using 3 to 6 times more energy than the hospital’s average unit.

OBJECTIVE

This quality improvement study aimed to investigate the knowledge, attitudes, and perceptions of staff members and patients on sustainability in the OR, as well as identify opportunities for initiatives and barriers to implementation.

METHODS

A total of 2 surveys were developed, consisting of 27 questions for staff members and 22 questions for patients and caregivers. Topics included demographics, knowledge and attitudes regarding environmental sustainability, opportunities for initiatives, and perceived barriers. Multiple-choice, Likert-scale, and open-ended questions were used.

RESULTS

A total of 174 staff members and 37 patients participated. The majority (152/174, 88%) of staff members had received no and minimal training on sustainability, while 93% (162/174) cited practicing sustainability at work as moderately to extremely important. Among patients and caregivers, 54% (20/37) often or always noticed when a hospital is being eco-friendly. Both staff members and patients agreed that improving sustainability would boost satisfaction (125/174, 71.8% and 22/37, 59.4%, respectively) and hospital reputation (22/37, 59.4% and 25/37, 69.5%, respectively). The staff members’ highest-rated environmental initiatives included transitioning to reusables, education, and improved energy consumption, while patients prioritized increased nature, improved food sourcing, and education. Perceived barriers to these initiatives included cost, lack of education, and lack of incentives.

CONCLUSIONS

Staff members and patients and caregivers in a large academic health care center acknowledge the significance of environmental sustainability in the OR. While they do not perceive a direct impact on patient care, they anticipate positive effects on satisfaction and hospital reputation. Aligning initiatives with staff members and patient and caregiver preferences can help drive meaningful change within the OR and beyond.
Postural Influence on Cognitive Dynamics during Esports Play: A Randomized Crossover Study (Preprint)
Authors: Matsui Takashi , Mine Yuji , Takahashi Shion , Funabashi Daisuke , Yoshitake Seiji , Matsuoka Hiroki , Yamaguchi Takafumi , Dobashi Shohei , Sakairi Yosuke , Yoshimoto Hisashi , Takagi Hideki , Morita Mai , Shiodera Akiyoshi , Mineno Ayumi , Asada Haruyuki
Published: May 2024

BACKGROUND

Humans have evolved to sit in a squatting position, whereas in the digitally integrated era epitomized by esports, prolonged sitting on a chair, namely seated position, is a widespread habit linked to body and mind issues. Although standing position promotes health and cognitive performance, the postural influence on cognitive benefits and risks during esports play remains unknown.

OBJECTIVE

We aimed to test the hypothesis that a standing position enhances esports performance over short periods compared to a seated position, while prolonged standing can lead to cognitive fatigue. Furthermore, we examined whether the forward leaning seated position promotes cognitive dynamics as a possible alternative to the standing position during esports play.

METHODS

We recruited 25 collegiate casual esports players. They first performed a crossover session of virtual football gaming for a maximum of 3 hours while standing or seated positions (Experiment 1). During the playing, we measured their subjective sensations, mood, virtual football performance, executive function, heart rate, pupil diameter, and salivary cortisol and testosterone levels. Next, we tested the effect of leaning forward in a seated position during the same virtual football gaming condition through a crossover session with a backward seated position (Experiment 2).

RESULTS

In Experiment 1, standing increased vitality and pleasure, executive function assessed by Flanker interference, and shot performance during the initial 30 minutes. Heart rate, pupil size, and salivary cortisol and testosterone were higher in the standing condition. Beyond 60 minutes, standing slowed interference with increased conceded goals, and 50% of the participants retired during play. In Experiment 2, seated in a leaning forward position enhanced vitality and pleasure, interference, and shot and pass performance than seated in a reclining position during the initial 60 minutes, but led to lower interference and cognitive accuracy after 120 minutes. Reclining seated position slowed interference from the early phase, but accuracy remained unchanged throughout playing.

CONCLUSIONS

Our findings provide evidence that standing position for moderate durations (≤60 minutes) improves mood, executive function, and esports performance, but standing for prolonged durations (>60 minutes) causes cognitive fatigue, leading to lowered cognitive performances. Furthermore, leaning forward seated position serves as an alternative active sitting mirroring the cognitive dynamics of standing esports play. Reclining seated position supports cognitive endurance with higher accuracy. Ultimately, adopting postures to match cognitive demands could encourage active and healthy lifestyles in today’s co-evolving computer-human society.
Quality Improvement of Kesambi-Seed Oil using Free Fatty Acids and Hydrogen Cyanide Adsorption
Authors: Setyawardhani Dwi Ardiana , Umpati Diah Sri , Fahroni Yudi Eka
Published: May 2024

Kesambi-seed (Schleichera oleosa) is an Indonesian potential feedstock to produce vegetable oil for energy resources and oleochemicals. Crude Kesambi-seed oil (KSO) contains 8.43% free fatty acids (FFA) and 128 ppm hydrogen cyanide (HCN), which exceeds the Indonesian National Standard (SNI) for refined oil. Purification process is needed for crude KSO to be high quality vegetable oil. This study aimed to improve the quality of KSO by reducing the FFA and HCN contents using adsorption. The adsorption equilibrium is also determined to obtain the equilibrium constants. The purification process was developed in 2 steps, i.e., degumming and adsorption. Degumming was developed using 2.5% v/v H3PO4 to separate phospholipids/phosphatides in the crude oil, while adsorption using activated carbon was introduced to reduce the FFA and HCN contents.  Kesambi-seed oil purification using activated carbon adsorption could be used as one-step refining for bleaching and reducing FFA and HCN. More adsorbent is needed to reach the FFA standard for the shorter adsorption time. Adsorption using 10% activated carbon for 24 hours reduced hydrogen cyanide up to 36 mg/kg oil, lightened the oil color, and achieved the highest yield (74.62%). Meanwhile, the activated carbon concentration of 40% w/w  for 96 hours obtained 0.16% FFA. All three parameters have fulfilled the Indonesian National Standard for refined vegetable oil. Furthermore, the Freundlich model best fits equilibrium adsorption of FFA in the KSO.
Enhanced Copper Ion Adsorption by Rice Husk and Sugarcane Bagasse-based Magnetic Nanoparticles Biocomposites
Authors: Nata Iryanti , Irawan Chairul , Hudha Muhammad Istnaeny , Lesti Aceng , Syarkani Muhammad Hersandy , Naufal Allam
Published: May 2024

Rice husk and sugarcane bagasse are biomass waste by-products of agriculture activities. High cellulose content makes them a potential material to develop. Biomass utilization is more interesting to develop due to its high cellulose content and nature abundance. Cellulose from rice husk and sugarcane bagasse is utilized as fiber in producing magnetic biocomposites. The Biocomposites can adsorb Cu(II) ions in aqueous solutions. A one-step solvothermal reaction was used to synthesize biocomposites. The amine functionalization on biocomposites was also studied for adsorption performance. The magnetic particle was generated on the surface of fiber and verified by XRD as Fe3O4. Amine group on biocomposites is also found on 570 cm-1 and 1636 cm−1 peaks for Fe-O bonds and N-H bending, respectively. Batch isothermal adsorption employing magnetic biocomposites has optimal conditions for Cu(II) ions adsorption at pH 5 for 60 minutes, with an adsorption capacity of 118.26 mg/g. The reusability of biocomposites for the next run showed a good performance at 3rd repetitions with only a decrease in adsorption capacity of 8.81%. The rice husk and sugarcane bagasse-based magnetic nanoparticles biocomposites can adsorb Cu(II) ions and potential material to develop for wastewater treatment.
Dehydration Impact on Antioxidant Potential and Phenolic content of Backhousia citrodora leaves
Authors: Abdul Kahar Ainaa , Ong Sze-Pheng , Watson Nicholas J. , Chung-Lim Law
Published: May 2024

The most popular method for food preservation is dehydration. In order to enhance the overall quality and prolong the longevity of herbal products, it is imperative to carefully choose optimal dehydration conditions. The dehydration of Backhousia citriodora, also known as lemon myrtle leaves (LML), was conducted via three distinct techniques: conventional dehydration at temperatures of 40, 50, and 60°C (referred to as CD40, CD50, and CD60, respectively); vacuum dehydration at the same temperature as conventional dehydration with a pressure of 50 mbar; and heat pump dehydration at a constant temperature of 45°C. The antioxidant capacities, specifically the radical scavenging activity (DPPH) and ferric reducing antioxidant power (FRAP), along with the total phenolic content (TPC), were evaluated. HPD samples came up second to VD samples in terms of TPC retention, DPPH activity, and FRAP test, whereas CD samples had the lowest biochemical content across all dehydration conditions. The TPC and antioxidant activity in the CD sample exhibited a substantial reduction as the dehydration temperature increased. After dehydration, the CD60 sample had the largest reduction in TPC, DPPH, and FRAP values. Maximising the retention of biochemical content is of utmost importance in post-harvest processing as it serves as an indicator of greater retention. Therefore, the selection of appropriate dehydration techniques and conditions is critical in achieving this objective.
Pemanfaatan Tanaman Serai Wangi sebagai Produk Minyak Atsiri dalam Upaya Peningkatan Ekonomi Masyarakat
Authors: Marsiah Marsiah , Aziz Abdul , S.C. Amelia , R. Aulia , P.A. Denna , P. W. Inggit , H. Ismi , Jumrianto Jakaria , S. Lita , Imronsyah M. , K. Rini
Published: May 2024

Sungai Cabang Barat Village is a coastal area with much plantation land. One of the plantations that can be found is the citronella garden. Despite its potential, local people had yet to recognize the potential of citronella in the village of Sungai Barat Branch. For that reason, the arrival of KKN IAIN Palangkaraya students was expected to explore the potential of this fragrant lemongrass. Citronella can be processed into essential oils through the distillation stage. The uses of citronella oil also vary, ranging from itching medicine ingredients and bath soaps to aromatherapical candles. The approach used in this research is the Asset Based Community Development (ABCD) approach. The results of this study are processed products from citronella in the form of essential oils that are ready to be marketed by the public.
Keywords: Citronella; Economy; Essential oil, Plant
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Desa Sungai Cabang Barat merupakan sebuah wilayah pesisir pantai yang kaya akan lahan perkebunan. Salah satu perkebunan yang dapat dijumpai adalah kebun serai wangi. Sayangnya, potensi serai wangi di desa tersebut belum dipahami oleh warga setempat. Karena itu, kedatangan mahasiswa KKN IAIN Palangkaraya diharapkan dapat membantu warga setempat untuk menggali potensi perkebunan serai wangi ini. Serai wangi dapat diolah menjadi minyak atsiri melalui tahap penyulingan. Kegunaan minyak serai wangi juga bermacam-macam, mulai dari bahan obat gatal, sabun mandi, hingga lilin aromaterapi. Adapun pendekatan yang digunakan pada penelitian ialah pendekatan Asset Based Comunity Development (ABCD). Hasil dari penelitian ini adalah produk hasil olahan dari serai wangi berupa minyak Atsiri yang siap dipasarkan oleh masyarakat.
Kata kunci: Serai wangi; Ekonomi; Minyak atsiri; Tanaman; Pemberdayaan masyarakat
Penguatan Teknologi Sektor Pertanian, Kesehatan, dan Sosial Budaya di Desa Madurejo dan Desa Sumberharjo
Authors: Astuti Wulan Tri , Wati Anas Ardiana , Fadila Alma Rizki , Verisandri Aufa Lufhf Ambar
Published: May 2024

Madurejo and Sumberharjo Village are located in Prambanan District, Sleman Regency, Special Region of Yogyakarta. These villages have potential in the agricultural sector supported by the extent of paddy fields. Viewed from the sociocultural sector, Madurejo and Sumberharjo Village have tourism appeal that can be developed to attract tourists. The community service team also realized the need to improve health facilities to support the health quality of residents. To maximize village potential and human resources, various programs have been implemented to strengthen technology in the agricultural, health, and socio-cultural sectors. These programs include food innovation, solar panel and hydroponic installation, waste management, health checks, agro-tourism festivals, campus expo, marketing training, and website creation. This program has been carried out in accordance with its objectives although it has not been free from various obstacles.
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Desa Madurejo dan Desa Sumberharjo terletak di Kecamatan Prambanan, Kabupaten Sleman, Provinsi Daerah Istimewa Yogyakarta. Kedua desa memiliki potensi dalam sektor pertanian yang didukung dengan luasnya lahan persawahan. Dilihat dari sektor sosial-budaya, kawasan Desa Madurejo dan Sumberharjo memiliki daya tarik pariwisata sehingga dapat dikembangkan untuk menarik wisatawan. Tim pengabdian masyarakat juga menyadari perlunya peningkatan fasilitas kesehatan untuk menunjang kualitas kesehatan warga. Dalam upaya memaksimalkan potensi desa dan sumber daya manusia, dilaksanakan berbagai program dengan tujuan penguatan teknologi di sektor pertanian, kesehatan, dan sosial-budaya. Berbagai program tersebut antara lain adalah inovasi pangan, instalasi panel surya dan hidroponik, pengolahan limbah, cek kesehatan, festival agrowisata, campus expo, pelatihan marketing, serta pembuatan website. Program ini telah terlaksana sesuai dengan tujuannya walaupun tidak terlepas dari berbagai kendala.
Social Media as Heterotopia: Exploring the Dynamics of Cancel Culture in the Gisella Anastasia Sex Video Scandal
Authors: Wulandari Nur Laily , Habsari Sri Kusumo , Susanto Susanto
Published: May 2024

This study examines the phenomenon of cancel culture on social media, focusing on the controversy surrounding the case of Gisella Anastasia's nude video. Utilizing Michel Foucault's heterotopia theory, this research investigates how social media platforms like Instagram serve as heterotopias that shape new norms and challenge social rules. The study analyzes Instagram's role in cancel culture, exemplified by the Gisella Anastasia case, and netizen responses. It explores how digital spaces blur the distinction between reality and virtuality, impacting individual freedom and identity formation. Through text and content analysis, this research uncovers power dynamics within Gisella Anastasia's Instagram accounts, @hopsindonesia, and @Rananews.id, over specific time frames. The findings indicate that social media functions as a heterotopic space where netizens contest societal norms and challenge the hegemony of identities in society. Anonymity encourages damaging comments and perpetuates cancel culture, acting as resistance against societal norms and identities. The absence of hierarchy in social media fosters boundaryless behavior among netizens, sometimes leading to excessive brutality.Keywords: cancel culture, spatiality, power, social media.
Manajemen Perioperatif Seksio Sesarea Pasien G2P1A0 Hamil 38 Minggu dengan Plasenta Akreta dan Plasenta Previa Totalis
Authors: Fajar A Ratih Kumala , Jufan Akhmad Yun , Kuncoro Kusuma Edhi
Published: May 2024

Plasenta akreta merupakan kasus yang semakin sering ditemui dan merupakan indikasi paling sering untuk histerektomi peripartum. Manajemen seksio sesarea pada kasus plasenta akreta terutama berhubungan dengan potensi perdarahan masif, koagulopati, dan morbiditas lainnya. Manajemen anestesi dari spektrum plasenta akreta memberikan banyak tantangan termasuk mengoptimalkan kondisi pembedahan, memberikan proses persalinan ibu yang aman, mengantisipasi perdarahan dan transfusi masif, mencegah koagulopati, dan mengoptimalkan kontrol nyeri pascaoperasi. Melaksanakan tujuan tersebut membutuhkan persiapan yang teliti dengan evaluasi praoperasi menyeluruh dari ibu melahirkan dan pendekatan multidisiplin yangterkoordinasi dengan baik untuk mengoptimalkan hasil bagi ibu dan janin.
A Formalist Approach to Religious Imagery in The Chronicles of Narnia: The Lion, The Witch and The Wardrobe by C. S. Lewis
Authors: Sulaiman Firosyan Fittanasuqi , Munjid Achmad
Published: May 2024

One of the most popular novels written for children is The Chronicles of Narnia: The Lion, The Witch and The Wardrobe by C. S. Lewis (2005). However, this novel is controversial amongst critics because it contains religious symbols. This research argues that The Chronicles of Narnia: The Lion, The Witch and The Wardrobe has its way of presenting religious symbols implicitly therefore children can enjoy reading it. Thus, this research aims to examine the effective presentation of religious symbols in the novel. This research uses the Formalism approach. To support the analysis, the researcher uses library research as the method with the religious symbols found in the novel as the primary data and the books and journals written by experts as the secondary data. The result of this research is The Chronicles of Narnia: The Lion, The Witch and The Wardrobe presented religious symbols through the characters of children, role models, central subjects and important events of the story of the novel.
Returns and Recalls in Julius Ocwinyo’s Fate of the Banished and Footprints of the Outsider
Authors: Balitumye Michael
Published: May 2024

The generic treatment of analepsis as a narrative technique has left some of its sub-aspects, like returns and recalls, understudied. Returns and recalls were first introduced by Gerald Genette (1980) as analepses drawn from the same line of action as the first narrative. Returns fill in after the event, a gap in the narrative while recalls constitute the narrative’s allusion to its past. By extension, therefore, they are posterior to the start of the first narrative and anterior to its end. Recalls and returns get a raw deal from narrative critics and theorists; one hardly finds an article-long discussion of these aspects, even in books primarily about narrative time. Yet, rarely if ever, do novelists craft a narrative without incidents of returns and recalls; hardly do real-life stories unfold without them. Adopting an interpretive paradigm, this paper analyzed returns and recalls and their functioning in Julius Ocwinyo’s Fate of the Banished and Footprints of the Outsider. This paper embraced a qualitative research approach; specifically, a descriptive case study design was deployed. Data was collected through close reading and documentary analysis; the paper was anchored on the Genettian discoursal perspective of narrative theory.
From Tweet to Conflict: Critical Discourse Analysis on Daryl Morey's Tweet about Hong Kong Protest
Authors: Sujiwa Krisna , Munandar Aris
Published: May 2024

The research focuses on the hidden reason that made Daryl Morey's tweet controversial in America and China. This research uses a descriptive qualitative method. The primary data are response tweets of Daryl Morey's tweet about the Hong Kong protest and Daryl Morey's initial tweet about the Hong Kong protest. This research also applies a transnational perspective; Fairclough's three-dimensional CDA is used to analyze and answer two research questions: how Morey's tweet about Hong Kong became a political issue between the NBA and China and how this issue affected the NBA. The research finding shows five reasons on how Morey's controversy became a political issue between the NBA and China: There are differences in interpretations of the tweet; where the U.S. interpreted it as freedom of speech and expression, but the Chinese interpreted it as a challenge to their sovereignty. Basketball's popularity in China expanded the escalation of the conflict. Moreover, by using Transnational as perspective and CDA as theory, researcher able to demonstrate how a single tweet can incite a global uproar and become the catalyst for a costly conflict between two superpower nations.
Overtaking Effects on Spherical Shock Wave Propagation in Metallic Mediums
Authors:   Department of Physics, Bareilly College, Bareilly (India)-243006, CHANDRA RAKESH , SINGH S. ,   Department of Physics, Bareilly College, Bareilly (India)-243006
Published: May 2024

The propagation of spherical shock waves through metallic mediums have been considered in this paper. The effect of overtaking disturbances in the propagation of spherical shock waves through solids, especially metals such as Aluminium and Copper, has been analysed by employing Chisnell-Chester-Whitham method. Under the influence of spherical shock waves flow variables have been obtained analytically as well as estimated numerically. Expressions for the pressure and the particle velocity behind the shock wave have also been obtained. It is found that shock strength in both the metals decreases as shock propagates through them. Shock velocity and modified shock velocity depict a decreasing pattern with increasing propagation distance. These observations suggest many industrial and medical applications of shock waves.
Effect of Methanol Blends on performance of Two Stroke petrol Engine at varying load conditions
Authors: Singh Vijay , Singh Shankar , Kushwaha Manish , Singh Madhulika
Published: May 2024

Experiments were conducted to evaluate the performance evaluation of two stroke single cylinder, spark ignition (SI) engine, with methanol blended gasoline (40% gasoline, 20% methanol, & 10 % by volume). Performance parameters (brake horse power, specific energy consumption, thermal efficiency,) were determined at varying load condition it is observed that The experiments shows that 10% methanol blend with gasoline gives the best performance for the SI engine. The power output of the engine is almost near about the petrol on blend M10. It is recorded that the higher power output is 2. 85 KW with M10 blends at load 8 Kg as compare to petrol and the lowest power output is from the engine is 0. 82 KW with blend M40 at load 2 Kg. The specific fuel consumption decrease as load increase for petrol and methanol blends. The SFC of methanol (M10) is higher at low load condition and low at high load conditions as compare to other blends.
Nutrición y dieta saludable mediante el huerto familiar en Jojutla, Morelos
Authors: García Flores José Carmen , Ordóñez Díaz María de Jesús
Published: May 2024

Objetivo: analizar el estado de nutrición y la alimentación en la región de Jojutla, Morelos. Metodología: la muestra comprendió 60 padres y 60 alumnos de secundaria, la mitad con huerto familiar y la otra mitad sin él. Las técnicas aplicadas fueron un registro antropométrico, cuestionarios y observación participante. Resultados: el estado nutricional y el peso del grupo con huerto familiar es normal (de 18.5 a 24.99 de IMCE), ya que el agroecosistema diversifica su alimentación. La mayoría de las personas sin huerto familiar presenta sobrepeso y obesidad, debido al consumo frecuente de comida chatarra. Valor: análisis multifuncional del huerto familiar como espacio que contribuye a la buena nutrición y dieta de la familia. Limitaciones: es un estudio transversal, ya que la recopilación de la información fue en un momento y tiempo determinados. Es recomendable que la alimentación y el peso se investiguen por más tiempo. Conclusiones: la globalización alimentaria transforma la dieta tradicional; sin embargo, el huerto familiar beneficia aspectos nutrimentales y alimenticios de las familias, lo cual es positivo para la salud humana y del planeta.
A Study of Genotypic Characterization of ESBL and MBL Genes of β-Lactamase Producing Pseudomonas aeruginosa in Various Clinical Samples
Authors: Rengaraj Ramya , Muninathan Natarajan , Alagiri Sivaranjini , Suresh Arumugam
Published: May 2024

Pseudomonas aeruginosa, a Gram-negative bacterium, presents a substantial challenge in healthcare due to its adaptability and resistance. This study delves into its genotypic characteristics, focusing on ESBL and MBL genes. The prevalence of P. aeruginosa in nosocomial infections, the research aims to decipher resistance mechanisms crucial for tailored interventions. The study includes 170 non-repetitive clinical samples with protocols. Antibiotic susceptibility testing reveals diverse resistance patterns. Molecular detection of ESBL and MBL genes involves DNA isolation, PCR amplification, and gel electrophoresis. The study examined 170 P. aeruginosa samples, revealing gender-specific variations with 65.91% male and 34.09% female isolates. Antimicrobial testing displayed resistance in Ceftazidime (59%) and Ciprofloxacin (48%), while Ticarcillin-clavulanic acid showed promising sensitivity (58%). Molecular identification unveiled diverse resistance genes across sample types, emphasizing genetic complexity. The study underscores the urgency for targeted therapeutic interventions and novel antimicrobial strategies against P. aeruginosa infections. As antimicrobial resistance complexities persist, this research guides efforts toward a profound understanding of clinical interventions and strategic antimicrobial management.
Topology Optimization of Three-Wheeler Electric Vehicle Brake Pedal
Authors: Sahu Anjali
Published: May 2024

Abstract: In this project a new design is proposed on the 3 wheeler vehicle brake pedal for weight reduction and it is analyzed by software named FEA. In this an electrical three-wheel vehicle brake pedal is designed for weight optimization. Brake pedals are widely used in all automotive, which acts as a linkage between occupant and brake mechanism. Existing design seems to be overdesigned as per requirement, FEA used to apply cantilever load Optistruct solver used to perform topology optimization. The model of an existing brake pedal was generated using SolidWorksV5 modeling. Furthermore, the FEA analysis is done using ANSYS workbench 21. A three-wheel vehicle brake pedal was analyzed and optimized for weight reduction in this study. Optimize design will be tested using compression loading UTM machine.
Hand Gestures for Personal Computer Control
Authors: Kaushik Kartik
Published: May 2024

Abstract: Hand gestures have emerged as a promising modality for enhancing personal computer (PC) control, offering intuitive and natural interaction methods. This research paper explores the design, implementation, and evaluation of a hand gesture recognition system for PC interaction. We review existing methods of PC control and discuss the limitations of traditional input modalities. The paper outlines the process of hand gesture recognition, including data acquisition, preprocessing, feature extraction, and classification. We describe the design considerations and implementation details of the gesture recognition system, highlighting the hardware and software requirements. Empirical evaluations are presented to assess the system's performance in terms of recognition accuracy, response time, and user satisfaction. Furthermore, we explore potential applications of hand gesture control across various domains and discuss challenges and future directions in the field. This research contributes to advancing the state-of-the-art in HCI by demonstrating the feasibility and effectiveness of hand gestures for PC interaction
Drip Irrigation System Designed for Drought Areas
Authors: Krishna Mr. V. Radha , Rashmitha N. , Mrudhuvani J. , Sree D. Pooja , Begum Shaik Afreen
Published: May 2024

Abstract: This paper presents an innovative prototype that harnesses Thermo-Electric devices (TEDs) to condense water vapor from the atmosphere in drought-stricken regions. Powered by solar energy and main supply sources, TEDs cool the air to generate water droplets for irrigation. Paired with a drip irrigation system, controlled by an Arduino Uno microcontroller and soil moisture sensors, the setup ensures efficient plant hydration while conserving water. Rigorous testing across diverse soil types validates the system's efficacy in responding to varying moisture levels. This integrated approach offers a promising solution to address water scarcity in drought-affected areas.
A Clinical Study of Karkashchadaadi Kwath in Medodushti with Special Reference to Dyslipidemia- A Study Protocol
Authors: Jyoti Dr.
Published: May 2024

Abstract: Like other metabolic disorders, Medoroga (Dyslipidemia) is also troublesome. The burden is increasing day by day. It is caused by an abrupt change in lifestyle and dietary habits. In India, approximately 25–30% of urban and 15-20% of rural subjects suffer from dyslipidemia.
Enhanced Health Management: Tailored Solutions for Elderly Care
Authors: Biju Nidhin
Published: May 2024

Abstract: In an era characterized by a globally aging pop- ulation, the imperative to address the comprehensive health needs of older adults has intensified. Among these needs, dietary wellness emerges as a fundamental aspect crucial for sustaining vitality and managing age-related conditions. Recognizing this imperative, our work introduces a pioneering personalized health ecosystem tailored to the unique dietary requirements of seniors. Through the utilization of advanced data science and machine learning methodologies, our platform presents a holistic solution aimed at enhancing dietary habits and overall well-being among seniors. Therefore, our health management system endeavors to foster healthy eating practices and augment the quality of lifefor older adults, thereby cultivating a proactive ethos of wellness and self-care.
Multifunctional Robot for Military Applications
Authors: Babu Mr. C. Sridhar
Published: May 2024

Abstract: The fastest-growing and most fascinating field in the modern world is robotics. A robot's input and output can sense its surroundings and respond accordingly. Scientists have developed military robots through technological advancement and study. Indicate in this section what needs to be modified. After that, select the paraphrasing option below. This increases the security of a soldier's life in combat. Military robots are employed to carry out a number of dangerous jobs, including shooting opponents, detecting landmines, disarming live unexploded explosives, and monitoring combat zones. These combat robots are outfitted with integrated systems, including grippers, cameras, sensors, and actuators. Self-contained robots are required because of the issues that soldiers and civilians are facing with terrorism and insurgencies. Nations invest a great deal of money in the development of new defensive systems that can protect their citizens from terrorist threats. Through the use of a robotic system that can monitor a variety of field conditions and transmit data to an Android application over Wi-Fi, the suggested solution eventually offers a remote monitoring and controlling capability.
Authentic Commas Made by Audacious Women
Authors: Vinnarasi Miss. M. Sebasthiammal
Published: May 2024

Abstract: This study delves into the courageous commas women continue to make every day in their day to day life on this planet. Over time, women have raised their voices, leading to mass movements and protests. In modern times, women have achieved legal, political, civil, social, economic, and cultural rights. The Indian Constitution guarantees fundamental rights to all citizens, emphasizing equality. However, women in India still encounter discrimination, injustice, and dishonour. Education plays a crucial role in addressing inequalities and promoting respect for individual human beings. There are remarkable courageous stories exhibited by women who have made a significant impact in various fields. Here are some inspiring women who have left their indelible mark on our country through struggles and traumas and still made viable to create a new society through the help of the legislations.
IOT Based Smart Irrigation System Using GSM
Authors: Shendge Prathamesh , Tale Chaitanya , Kumawat Sanket , Shitole Atharva , Mhaske Prof S. A.
Published: May 2024

Abstract: Horticulture is the essential division and a huge parcel of Indian populace (almost 58%) is locked in in this segment and associated businesses. Water system is an basic portion of horticulture. Out of the as it were 3% new water accessible to the world, less than 0.5% is accessible in frame of underground water or barometrical dampness, the water that able to utilize. In this circumstance it gets to be basic that an water system strategy which is viable, proficient however doable is utilized. Water system is fundamentally giving water to the crops misleadingly to fulfill their water necessities. It can moreover be utilized to supply supplements to the soil. In a nation like India where most of the ranchers are dependent on the questionable rainstorm, it is fundamental that we make utilize of the foremost proficient strategies that we have. IOT based savvy water system framework is one such procedure where water system can be done without much bother and proficiently, sparing water as well. With everything on smartphones, water system can be done effectively and accessibly from a person Ã¢Â€Â™s versatile, that as well by setting enlightening once and the framework at that point works on its claim. This remote checking of field water system moreover creates a expansive sum of information be that as it may, that can be handled by cloud computing. The focal points of this savvy irrigation system are much more than little issues. With time, there will be more improvements and inquire about within the same, the framework will ended up indeed better
CRISHI :A Crop Recommendation System
Authors: Kherwa Dr. Pooja , Srivastava Om
Published: May 2024

Abstract: The Crop Recommendation System proposes a mixed model to suggest crops for Indian states, considering various factors such as soil pH, moisture, NPK levels, crop data, and temperature. This suggestion model is constructed as a sample model incorporating supervised machine learning algorithms. The technology- based agricultural crop identifier model aims to enhance farmers crop yield by identifying appropriate crops based on their parameters. The efficacy of the recommendation model lies in its ability to recommend the right crop for specific conditions, which in turn contributes to addressing agricultural and farming challenges and boosting the Indian economy by maximizing crop production. The system also includes a grading process to identify crop quality and signalling the presence of low and high-quality crops. The utilization of a set of classifiers facilitates improved decision-making through multiple classifiers. The assessment process includes a request for decisionmaking to determine the outcomes of the classifiers
Classification of Melanoma Skin Cancer using Transfer Learning
Authors: Parekh Foram J. , Yadav Rauki
Published: May 2024

Abstract: Melanoma, a fatal variety of skin cancer, is a significant public health issue on a global scale. For patients to have better results, melanoma must be detected accurately and early. In this study, transfer learning techniques are used in deep learning to provide a novel method of melanoma cancer detection. By using pre-trained convolutional neural networks (CNNs), such as VGG, MobileNet, and EfficientNet, as feature extractors, the research takes advantage of the capability of transfer learning. These networks, which were first created for tasks involving generic image identification, are refined using a large dataset of dermoscopic images of skin lesions in order to adapt them to the particular needs of melanoma detection. Essential preprocessing techniques, including image resizing, image normalization, and lesion segmentation using the Otsu segmentation method, are used to improve the dataset's quality and consistency. Image normalization has been used to reduce the complexity and processing time of the image. Skin lesions have been segmented using Otsu segmentation. These procedures increase the robustness of the melanoma detection model and help to prepare the images for efficient training. The findings of this study highlight the possibility for an earlier and more precise diagnosis and provide encouraging insights into the viability of transfer learning as a formidable tool for melanoma detection. The overall objective of this work is to improve the diagnosis and patient care for melanoma cancer. This work contributes to ongoing efforts to provide practical and effective tools for dermatologists and healthcare professionals.
Impact of Influencer Marketing and User-Generated Content on Millennials\' Purchase Decisions
Authors: Kohli Javin , Gupta Dr. Rajeev
Published: May 2024

Abstract: In the digital era, influencer marketing and user-generated content (UGC) have significantly transformed marketing strategies, particularly affecting millennials' purchasing decisions. This research delves into the impact of these digital marketing strategies on millennials, focusing on the importance of trust, authenticity, and the integration of influencer marketing with UGC. Influencers, due to their perceived credibility and relatability, play a pivotal role in shaping consumer behavior, but their influence depends heavily on the authenticity of their endorsements. Similarly, UGC contributes to shaping consumer perceptions through genuine expressions of consumer experiences, highlighting the value of transparency and community in digital marketing. The study employs a mixed-methods approach, analyzing the responses of millennials to influencer marketing and UGC, and presents an integrated view of how these strategies influence purchasing decisions. The findings underscore the necessity for brands to forge authentic partnerships with influencers, emphasize storytelling, and actively engage with and promote UGC to resonate with millennials. Integrated marketing campaigns that effectively blend the persuasive power of influencers with the authenticity of UGC have been shown to generate curiosity, trust, and excitement among millennials, although skepticism remains a challenge due to concerns over authenticity. This research contributes to the evolving landscape of digital marketing strategies, offering insights into the complex web of influences that shape millennials' consumer behavior. It highlights the need for marketers and brands to navigate the intricacies of trust, authenticity, and community engagement in a digital context, providing a roadmap for effectively leveraging influencer marketing and UGC to engage the millennial audience.
Car Price Prediction Using Machine Learning
Authors: Mudarakola Lakshmi Prasad , Prakash D Shabda , Shashidhar K L N , Yaswanth D
Published: May 2024

Abstract: The objective of the "Car Price Prediction Using Machine Learning" project is to anticipate car prices based on pertinent variables by utilizing predictive modelling and advanced data analytics. The rising need for precise and active pricing systems in the automobile sector is addressed by this initiative. The system will evaluate past vehicle data, including brand, model, manufacturing year, the mileage, type of fuel, and other details, by utilizing machine learning techniques. In order to produce specific predictions, the suggested model will be trained on an extensive dataset, noticing patterns and parallels within the data. In order to create a reliable prediction model, the research focuses on using regression techniques, such as ensemble approaches or linear regression. System of measurement like as absolute mean error and R-squared coefficient will be used to evaluate the predicted accuracy of the system in order to regulate its usefulness. If this resourcefulness is employed successfully, it will have a big impact on the automobile business for clients and venders alike by giving them a tool to evaluate fair market prices and helping them make decisions. This study enhances to the body of knowledge in price analysis using machine learning and lays the footing for future improvements in the prognostication of dynamic market trends in the automobile sector.
Preptin as a Potential Marker in Iraqi Newly Diagnosed T2DM and T2DM with cardiovascular disease.
Authors: Tahir Noor Thair , Al-Khateeb Shatha M. J. , Shams Akram Raghda
Published: May 2024

Objective: The aim of present work is to study the Role of   preptin level in Iraqi type 2 diabetes patients and related with other biochemical parameters.
Methods: This study was including (88) partespents, (22) newly diagnosed T2DM, (22) T2DM and (22) ischemic heart disease with T2DM, and (22) as healthy control, age ranged (35-63) years.
Results: The findings indicate that individuals with type 2 diabetes mellitus (T2DM) exhibited markedly elevated levels of FBS, HbA1C, insulin, HOMA-IR, TC, TG, LDL-C, VLDL-C, and preptin in comparison to the control group. These differences were statistically significant (p<0.0001). Moreover, the Pearson correlation analysis revealed that preptin levels were positively associated with FBS, HbA1c, TC, TG, LDL, VLDL, insulin, and HOMA-IR while exhibiting a negative correlation with HDL.
Conclusion:  Because preptin plays a critical function in controlling sugar metabolism and, consequently, sugar problems, excessive levels of preptin play a significant role in the patient's inability to control both their level of glycosylated hemoglobin and their blood sugar levels. preptin levels are therefore high in diabetics and those with heart disease, which results in a loss of control over the body's metabolism and exposes a patient to many other ailments.