bluuebunny/crossref_metadata_2025 huggingface dataset:
GÊNERO, DESEJO, SEXUALIDADE E A (DES)CONSTRUÇÃO DO DIREITO POSTO
Authors: Ghisleni Pâmela Copetti , Lucas Doglas Cesar
Published: August 2024

Ao contrário das sociedades tradicionais, que convencionalizaram e padronizaram as relações interpessoais, as sociedades contemporâneas fizeram da sexualidade, dos afetos e do desejo verdadeiros loci de reconhecimento para os sujeitos, imprescindíveis – mais do que nunca – ao processo de subjetivação do ser. Nesse contexto, não surpreende que o caminhar rumo à efetivação de direitos humanos atravesse, invariavelmente, os corpos e as sexualidades. A partir de revisão crítico-reflexiva dos temas pautados e da utilização da fenomenologia hermenêutica, analisam-se jurisprudências representativas das mais altas cortes jurisdicionais, nacionais ou internacionais, e em cujo cerne circulam as questões do gênero e da sexualidade. Tudo isso para estabelecer alguns parâmetros que evidenciem de que maneira o Direito vem enfrentando, incorporando e narrando esses novos temas, a fim de compreender se os posicionamentos adotados pelos tribunais eventualmente sinalizam – para o bem ou para o mal – para uma mudança de paradigma em termos de justiça de gênero e sexualidade.
Comprehensive Investigation of Perovskite Materials for Photocatalytic, Photovoltaic, and Optoelectronic Applications: Recent and Advance Challenges and Goals
Authors: Hussain Shoukat , Shahid Muhammad Muzammal
Published: August 2024

Energy and environment are two of the most important issues of our time on a worldwide scale. Photocatalysis is the most environmentally friendly answer to these issues. Perovskite-based materials have sparked attention due to their low cost and lack of toxicity. Substitutable solar energy and semiconductor photocatalytic technologies are two of the most essential ways to reduce or avert global catastrophes and energy concerns. It is estimated that over one thousand different materials such as KGaO3 and RbMg2Ti3O10 have been tested for their potential as photocatalysts recently. Among the many endeavors, the production of photocatalysts is seen as a crucial technique for using solar energy for long-term energy and environmental reasons. Many photocatalysts (RbGaO3) have previously been combined. A photoelectrochemical cell is a device that converts light to electricity via a photoelectrochemical reaction. The sun is the major source of our power. Clean hydrogen energy is generated by a photocatalyst, which removes both inorganic and organic contaminants from water. Photocatalysts that operate over the whole solar spectrum have been developed as a result of significant advances in this area. Among the various materials that have been produced so far, single- and double-perovskite-based materials have received a lot of attention.
Brownian Computing and Its Similarities With our Brains
Authors: Pinto Alexandra
Published: August 2024

With the current need for the miniaturization of electronic circuits and transistors, there is a critical problem of fluctuations that create signal interference for the outputs of those circuits. One solution is to use those fluctuations and stochastic manipulation to the benefit of computing architectures. Such a solution is defined as Brownian computing, and it is possible to apply it with Brownian circuits. At those physical limits, nonlinear dynamics dominate, and synaptic modeling is critical. Synapses are the target of most, if not all, brain disorders. Because of the enormous number of synapses in our brain (~ 100,000,000,000), it is often difficult to comprehend how defects in one type of synapse yield the overall loss in brain performance characteristic of all brain disorders. Computational modeling of synapses has been a slow process that is constrained by advances in the interdisciplinary fusion of physics, both for measuring and data analysis, and advances in molecular biology or biophysics. These constraints are also computational: some models have detailed sets of coupled equations with experimental parameters that, although accurate, are impossible to solve because of the enormous number of synapses. This limitation impedes understanding of brain information processing, both in health and in disease states.
Mentoring and Trust in High-Risk Scientific Professions
Authors: Peaslee Levine Martha , M. Levine Dayna
Published: August 2024

Mentoring is an essential step in the learning process for many professions. In medicine, mentoring and working as an apprentice is vital to the education of future physicians. In other vocations, such as field biology, mentors help trainees learn how to navigate potentially dangerous situations, such as obtaining data on deadly animals. When lives are potentially at stake, are special mentoring skills required? The qualities of a good mentor and the benefits of mentoring have been explored by others. The question for this chapter is whether there are certain qualities that mentors bring to potentially life-threatening situations that help build trust and ensure the safety of all involved. The authors will explore this topic through the lens of their experiences and literature review. They each work in a field where trust in mentoring is vital. How does trust work in these situations and what can happen if a trainee and mentor do not trust or overly trust each other? As mentors and mentees walk the tightrope of these high-risk situations, how do they keep everyone safe?
Free geospatial software and applications
Authors: Santana de Oliveira Dias Leonardo , Flávio Assunção Alexandre , Augusto Nascimento de Jesus Felipe
Published: August 2024

This chapter examines the significant impact of Free and Open Source Software (FOSS) on the geospatial industry, tracing its development from the 1980s to its current widespread adoption. FOSS, which allows users the freedom to use, modify, and distribute software, has cultivated a varied ecosystem of projects, including geospatial applications under FOSS4G (Free and Open Source Software for Geospatial Applications). The Open Source Geospatial Foundation (OSGeo) supports the collaborative advancement and distribution of these technologies, leading to their global utilization. QGIS, a key component of FOSS4G, demonstrates the potential of open-source GIS software with its extensive plugin capabilities and support for various formats, such as the efficient GeoPackage format. Additionally, the Orfeo Toolbox (OTB) expands the reach to high-resolution satellite image processing, and the QuickMapService plugin in QGIS utilizes databases like OpenStreetMap (OSM) for enhanced geospatial analysis. The chapter presents case studies showcasing the practical use and effectiveness of FOSS4G tools in solving complex geospatial challenges, affirming their maturity and quality. Ultimately, the chapter highlights the importance of FOSS and FOSS4G in democratizing access to quality geospatial tools, enabling professionals to undertake sophisticated projects without licensing costs, with OSGeo’s support ensuring their continual improvement and widespread adoption.
Significance of Source Segregation of Solid Waste in the Course of Solid Waste Management: An Overview of Varanasi City, India
Authors: Kumar Awadhesh , Kumar Rana Narendra
Published: August 2024

Improving solid waste management (SWM) is a major challenge for governments globally and in India, particularly due to the lack of source segregation. If source segregation is not properly implemented, valuable materials that could be repurposed end up in landfills, putting a strain on the use of virgin raw materials. Several factors such as financial constraints, inadequate infrastructure, lax regulations, overcrowded urban areas, and the “not-in-my-backyard” (NIMBY) attitude hinder the implementation of integrated waste collection and treatment programs. Therefore, it is crucial to make a paradigm shift and view waste as a valuable resource rather than as worthless objects. This study aims to highlight the benefits of municipal solid waste (MSW) source segregation and explore the challenges and technical aspects of implementing it in Varanasi city. In 2022, Varanasi was divided into eight zones and one hundred wards. Using Yamane’s formula, the sample size was determined from the universe of households. Four hundred and forty families in Varanasi City participated in the study from January to March 2024. The results indicate that many residents believe waste segregation is futile because the city collects and transports all waste together. However, education and infrastructure improvements could help to improve source separation.
Contemporary Surgical Treatment for Management of Cholangiocarcinoma
Authors: O’Kane Lisa , V. Guarrera James , E. Lunsford Keri
Published: August 2024

Cholangiocarcinoma is the second most common cause of liver cancer and is often in advanced stages at the time of diagnosis. The disease is classified and treated by anatomic location - distal, perihilar, and intrahepatic. Diagnosis and staging workup consists of laboratory analysis including liver function, bilirubin, and tumor markers, as well as cross sectional imaging and endoscopic evaluation. Early multidisciplinary management between Hepatology, Oncology, and Surgery teams is necessary to optimize outcomes. Currently, only patients with perihilar cholangiocarcinoma are eligible for wait-list prioritization at liver transplant based on the Mayo Clinic criteria. New evidence may support the extension of eligibility for liver transplant to intrahepatic cholangiocarcinoma. As such, expanded transplant exception criteria have been proposed. Continued advances in medical and radiation therapy along with liver transplant promise to increase the treatment options and survival from patients with cholangiocarcinoma.
Glycoconjugate Vaccine: An Effective Way to Combat Infectious Diseases and Cancers
Authors: Akter Fatema , Kumar Sanjeev
Published: August 2024

Glycoconjugate is a molecule of carbohydrate covalently linked to another compound. In glycoconjugate vaccine, carbohydrate antigen is linked to another molecule, particularly a protein carrier. Vaccines targeting capsular polysaccharides can prevent bacterial infection. However, capsular polysaccharide alone is weak immunogenic as it produces a B cell immune response independent of T lymphocyte. To increase the immunogenicity, the capsular polysaccharide can be covalently linked to a protein carrier that converts carbohydrate antigen from T lymphocyte independent to T lymphocyte dependent antigen. Several carrier proteins such as tetanus toxoid (TT), diphtheria toxin (DT), the outer membrane protein complex (OMPC) of N. meningitides serogroup B, and Haemophilus protein D are currently used in licensed conjugate vaccines. The protein carrier in the glycoconjugate vaccine engages with T cell dependent immune response and the carbohydrate part engages with T cell independent immune response. The involvement of T cells in the immune response against the glycoconjugate vaccine helps in B cell proliferation and differentiation into memory B cell which is utmost important for long-term immunity. Carbohydrate structures decorated on the surface of pathogens and malignant cells can be considered as a key target in developing safe and effective vaccines to combat cancer, bacterial infections, viral infections.
Perspective Chapter: Major Insights into CRISPR-Cas9 in Edible Oilseeds Research
Authors: Ambrin Ghazala , Eram Rashke
Published: August 2024

Edible oilseeds significantly contribute to human nutrition and health. However, the production and consumption of edible oilseeds are facing several challenges, such as limited land and water resources, stress factors, and the quality of edible oils. Owing to its precision and versatility, the technology of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas9 has emerged as a vital tool in the field of oilseed research. CRISPR-Cas9 simplifies the process, allowing scientists to tailor oilseed crops more precisely for industrial applications, nutritional purposes, yield and quality, and stress tolerance. In particular, this technology is playing a crucial role in modifying the fatty acid composition in oilseed crops, addressing industry demands, and is eventually promoting sustainable agriculture. Interestingly, the focus on increasing fatty acid composition is significant for meeting the diverse needs of both industries and consumers. Taking into account relevant literature, this chapter overviews CRISPR-Cas9 system, discusses the major insights into recent applications and achievements of CRISPR-Cas9 in edible oilseed research, addresses the major challenges and proposing solutions for CRISPR/Cas9 editing applications in edible oilseed research, and suggests the themes, so far least explored in the current context.
Theoretical Investigation of Distributed Fiber Optic Sensing: Brillouin Stimulated Scattering
Authors: Aljaroudi Alireda , Aljaroudi Ahmed
Published: August 2024

The primary function of monitoring systems is to ensure the operational integrity and safety of the system being monitored. Continuous monitoring provides timely information on the state of the monitored system as well as early warning of anomalies that might lead to catastrophic failures. One of the leading sensing technologies that is gaining wide acceptance in the industry is fiber optic-based sensing technology. This technology enables the fiber optic cable to act as a sensor, providing continuous sensing with wide sensing coverage and advanced warning capabilities in real-time. When utilized in a distributed configuration, it detects changes in vibration, strain, and temperature along the monitored object. The strain on an offshore crude pipeline may indicate the presence of fractures; recognizing them early can prevent structural collapse, which might lead to a leak and, eventually, an oil spill, inflicting environmental damage. This chapter presents a theoretical analysis of fiber optic-based sensing and its practical applications.
Pupil Unleashed: Unraveling the Enigma of an Unusual Traumatic Head Injury: A Case Report
Authors: Daswaney Akash , Abhishek Shuchi , Asanaru kunju Sanjan , Pattath Sankaran Priya , Abdul Rahman Ahlam
Published: August 2024

Introduction: Isolated oculomotor nerve palsy after mild traumatic brain injury is unusual and prognostically signiﬁcant due to unclear mechanisms and recovery challenges. We present a case of isolated oculomotor nerve palsy following minor head trauma, shedding light on this unusual occurrence. Case Report: A 24-year-old male experienced severe vision loss and right-sided oculomotor nerve palsy after a motor vehicle collision. Initial imaging showed a hemorrhagic focus in the left posterior fossa and a contusion in the corpus callosum, yet no direct cause for the nerve palsy was found. Partial recovery was observed after 12 months. Conclusion: This case underscores the importance of maintaining a heightened suspicion for occult intracranial ﬁndings, especially when the initial non-contrast computed tomography was inconclusive. Timely clinical assessment and appropriate radiological investigations by emergency physicians are crucial for improving the prognosis.
Cross-Sectional Study of Thiamine Deficiency and Its Associated Risks in Emergency Care
Authors: Miller Joseph , Grahf Daniel , Nassereddine Hashem , Nehme Jimmy , Rammal Jo-Ann , Ross Jacob , Rose Kaitlin , Hrabec Daniel , Tirgari Sam , Lewandowski Christopher
Published: August 2024

Background: Growing data indicates that thiamine deficiency occurs during acute illness in the absence of alcohol use disorder. Our primary objective was to measure clinical factors associated with thiamine deficiency in patients with sepsis, diabetic ketoacidosis, and oncologic emergencies. Methods: This was an analysis of pooled data from cross-sectional studies that enrolled adult emergency department (ED) patients at a single academic center with suspected sepsis, diabetic ketoacidosis, and oncologic emergencies. We excluded patients who had known alcohol use disorder or who had received ED thiamine treatment prior to enrollment. Investigators collected whole blood thiamine levels in addition to demographics, clinical characteristics, and available biomarkers. We defined thiamine deficiency as a whole blood thiamine level below the normal reference range and modeled the adjusted association between this outcome and age. Results: There were 269 patients, of whom the average age was 57 years; 46% were female, and 80% were Black. Fifty-five (20.5%) patients had thiamine deficiency. In univariate analysis, age >60 years (odds ratio [OR] 2.5, 95% confidence interval [CI], 1.3–4.5), female gender (OR 1.9, 95% CI 1.0–3.4), leukopenia (OR 4.9, 95% CI 2.3–10.3), moderate anemia (OR 2.8, 95% CI 1.5–5.3), and hypoalbuminemia (OR 2.2, 95% CI 1.2–4.1) were associated with thiamine deficiency. In adjusted analysis, thiamine deficiency was significantly higher in females (OR 2.1, 95% CI 1.1–4.1), patients >60 years (OR 2.0, 95% CI 1.0–3.8), and patients with leukopenia (OR 5.1, 95% CI 2.3–11.3). Conclusion: In this analysis, thiamine deficiency was common and was associated with advanced age, female gender, and leukopenia.
Reduced Time to Admit Emergency Department Patients to Inpatient Beds Using Outflow Barrier Analysis and Process Improvement
Authors: Erdmann Marjorie A. , Paramel Ipe S. , Marshall Cari , LeHew Karissa , Kee Abigail , Soliman Sarah , Vuong Monica , Spillane Sydney , Baer Joshua , Do Shania , Jones Tiffany , McGuire Derek
Published: August 2024

Objective: Because admitted emergency department (ED) patients waiting for an inpatient bed contribute to dangerous ED crowding, we conducted a patient ﬂow investigation to discover and solve outﬂow delays. After solution implementation, we measured whether the time admitted ED patients waited to leave the ED was reduced. Methods: In June 2022, a team using Lean Healthcare methodologies identiﬁed ﬂow delays and underlying barriers in a Midwest, mid-sized hospital. We calculated barriers’ magnitudes of burden by the frequency of involvement in delays. During October–December 2022, solutions targeting barriers were implemented. In October 2023, we tested whether waiting time, deﬁned as daily median time in minutes from admission disposition to departure (ADtoD), declined by conducting independent sample, single-tailed t-test comparing pre- to post-intervention time periods, January 1–September 30, 2022 (273 days) to January 1–September 30, 2023 (273 days). Additionally, we regressed ADtoD onto pre-/post period while controlling for ED volume (total daily admissions and ED daily encounters) and hospital occupancy. A run chart analysis of monthly median ADtoD assessed improvement sustainability. Results: Process mapping revealed that three departments (ED, environmental services [EVS], and transport services) co-produced the outﬂow of admitted ED patients wherein 18 delays were identiﬁed. The EVS-clinical care collaboration failures explained 61% (11/18) of delays. Technology contributed to 78% (14/18) of delays primarily because staff’s technology did not display needed information, a condition we coined “digital blindness.” Comparing pre- and post-intervention days (3,144 patients admitted pre-intervention and 3,256 patients post), the median minutes a patient waited (ADtoD) signiﬁcantly decreased (96.4 to 87.1 minutes, P = 0.04), even while daily ED encounter volume signiﬁcantly increased (110.7 to 117.3 encounters per day, P < 0.001). After controlling in regression for other factors associated with waiting, the intervention reduced ADtoD by 12.7 minutes per patient (standard error 5.10, P = 0.01; 95% conﬁdence interval −22.7, −2.7). We estimate that the intervention translated to ED staff avoiding 689 hours of admitted patient boarding over nine months (ADtoD coefﬁcient [−12.7 minutes] multiplied by post-intervention ED admissions [3,256] and divided by 60). Run chart analysis substantiated the intervention’s sustainability over nine months. Conclusion: After systemwide patient ﬂow investigation, solutions resolving digital blindness and environmental services-clinical care collaboration failures signiﬁcantly reduced ED admitted patient boarding.
Universal On-board Neural Network System for Restoring Information in Case of Helicopter Turboshaft Engine Sensor Failure
Authors: Vladov Serhii ,   Kremenchuk Flight College of Kharkiv National University of Internal Affairs, Kremenchuk, 39605, Ukraine, Yakovliev Ruslan , Vysotska Victoria , Uhryn Dmytro , Ushenko Yuriy
Published: August 2024

This work focuses on developing a universal onboard neural network system for restoring information when helicopter turboshaft engine sensors fail. A mathematical task was formulated to determine the occurrence and location of these sensor failures using a multi-class Bayesian classification model that incorporates prior knowledge and updates probabilities with new data. The Bayesian approach was employed for identifying and localizing sensor failures, utilizing a Bayesian neural network with a 4–6–3 structure as the core of the developed system. A training algorithm for the Bayesian neural network was created, which estimates the prior distribution of network parameters through variational approximation, maximizes the evidence lower bound of direct likelihood instead, and updates parameters by calculating gradients of the log-likelihood and evidence lower bound, while adding regularization terms for warnings, distributions, and uncertainty estimates to interpret results. This approach ensures balanced data handling, effective training (achieving nearly 100% accuracy on both training and validation sets), and improved model understanding (with training losses not exceeding 2.5%). An example is provided that demonstrates solving the information restoration task in the event of a gas-generator rotor r.p.m. sensor failure in the TV3-117 helicopter turboshaft engine. The developed onboard neural network system implementing feasibility on a helicopter using the neuro-processor Intel Neural Compute Stick 2 has been analytically proven.
Polymorphic Radial Basis Functions Neural Network
Authors: Vladov Serhii ,   Scientific Work Organization and Gender Issues Department, Kremenchuk Flight College of Kharkiv National University of Internal Affairs, Kremenchuk, 39605, Ukraine, Yakovliev Ruslan , Vysotska Victoria , Uhryn Dmytro , Karachevtsev Artem
Published: August 2024

The work is devoted to the development of the radial basis functions (RBF networks) neural network new architecture – a polymorphic RBF network in which the one-dimensional radial basis functions (RBFs) in the hidden layer instead, multidimensional RBFs are used, which makes it possible to better approximate complex functions that depend on several independent variables. Moreover, in its second layer, the summing the RBF outputs one by one from each group instead, multiplication is used, which allows the polymorphic RBF network to better identify relations between independent variables. Based on the training classical RBF networks evolutionary algorithm, the polymorphic RBF network training algorithm was created, which, through the initializing weight coefficients methods use taking into account the tasks structure and preliminary values, using the mutations tournament selection, adding additional criteria to the fitness function to take into account stability and speed training a polymorphic RBF network, as well as using an evolutionary mutation strategy, allowed us to obtain the lowest errors in training and testing a polymorphic RBF network compared to known RBF network architectures. The created polymorphic RBF network practical application possibility is demonstrated experimentally using the helicopters turboshaft engines (using the example, the TV3-117 turboshaft engine) operating process parameters optimizing solving task using a multicriteria optimization algorithm. The optimal Pareto front was obtained, which made it possible to obtain the engine operation three additional modes: maximum reduction of specific fuel consumption at the total pressure in the compressor increase degree increased value by 5.0 %, specific fuel consumption minimization at the total pressure in the compressor increase degree reduced value by 1.0 %, the total pressure in the compressor increases degree optimal value with a slight increase in specific fuel consumption by 10.5 %. Future research prospects include adapting the developed methods and models into the general concept for monitoring and controlling helicopter turboshaft engines during flight operations. This concept is implemented in the neural network expert system and the on-board automatic control system.
An Optimized Convolutional Neural Network Model for Detecting Depressive Symptoms from Image Posts
Authors: M. Awoyelu T. ,   Department of Computer Sciences, Faculty of Natural Sciences, Ajayi Crowther University, Oyo, Nigeria, R. Iyanda A. , K. Mosaku S.
Published: August 2024

This paper presents an optimized model that uses an optimized CNN to detect depressive symptoms from image posts. This is with a view to detecting depression symptoms in individuals. Visual data were collected in their raw form and assessed as having or not having a mental condition. The images were processed, and the relevant features retrieved from them. An optimized convolutional neural network (CNN) was used to simulate the defined classification model of the image posts. The model was implemented using Python Programming Language. Precision, recall, accuracy, and the area under the Receiver Operating Characteristics (ROC) curve were used as performance indicators to assess the model's efficacy. The collected findings indicate that 77% accuracy is achieved by the optimized model. As a result, 77% of the cases were accurately predicted by the model, suggesting that the model is generally accurate in its predictions. The research will contribute to a decrease in the incidence, prevalence, and recurrence of mental health illnesses as well as the disabilities they cause.
Capo Linaro in Pīrī Reʾīs's portolan : an early modern age source for the knowledge of the Castrum Novum harbour
Authors: Anticoli Fabrizio
Published: August 2024

The Kitāb-i baḥriyye, the portolan compiled by Pīrī Reʾīs, is a valuable source of information on the coastal landscape of the Mediterranean at the dawn of the modern era. This paper examines the representation of a head north-west of Rome, Capo Linaro. What was registered by Pīrī Reʾīs could be useful in reconstructing the shape of this stretch of the coast for a period rarely considered in scholarship. The city of Castrum Novum arose in this place: the different shape the coast had in the past allowed it to build a harbour facing this city. Unfortunately, information on the period following its abandonment is scarce and very little data is available on this area from late antiquity. The analysis of the text and the charts of the Kitāb-i baḥriyye suggested that Capo Linaro had retained its importance as a landmark and harbouring place even after the end of the Middle Ages and the rise of the nearby urban settlements.
Stát jako obr chránící církve? : delikty proti náboženství před krajským soudem v Uherském Hradišti v letech 1920–1930
Authors: Strašák Adam
Published: August 2024

The topic of the article are religious conflicts in the 1920's judged by the Regional court in Uherské Hradiště. In most cases, paragraphs 122 and 303 of the Criminal Code were used. Those paragraphs protected the churches against criticism and disruption of their ceremonies. Other laws were used to protect religion in cases of violence between members of different confessions. The analysis focuses on the discourse of the criticism. Besides that, the causes of conflicts are another topic of the research. The author pays his attention to how the state was solving the conflicts and how the offenders were punished.
Ve stínu říšské orlice : nacistická germanizační politika ve střední Evropě s přihlédnutím k vytváření vojenských záborů
Authors: Vedra Dana
Published: August 2024

The paper is focused on the Nazi settlement policy in Central Europe during World War II, with a focus on the displacement of inhabitants due to the creation or expansion of military training grounds. Several of these relocations took place in occupied Czechoslovakia, Austria, and Poland and played a key role in Nazi Germanization policy. In addition to the state of existing research on the topic, the paper is focused on the delineating the basic contours of these plans, which were presented by the occupiers themselves primarily as military needs of the Reich. In fact, it was one of the few Germanization plans implemented, the main process of which was to take place after the victorious war. The paper will also attempt to compare the situation in neighbouring countries and thus arrive at new directions in which further research can be directed. The forced migration flows of Czechs and Polishes and the subsequent post-war displacement of German inhabitants from Central and Eastern Europe had a major impact on the shape of the old continent in the second half of the 20th century. The impact of these migrations can still be seen today. With this analogy, we can also observe how seemingly marginal migration processes can trigger large population movements in the dicta of a big giant, in this case the Nazi eagle.
Awareness and practices of Speech Language Pathologists (SLPs) working with chronic cough in India: a call for action
Authors: Venkatraman Yamini , Acharya Vishak , Kamath Sindhu , Gunjawate Dhanshree , B Radish Kumar
Published: August 2024

Objective: A cough persisting beyond eight weeks is referred as chronic cough (CC) and is a common symptom of many respiratory conditions and non-respiratory conditions. The role of a speech language pathologist (SLP) in CC is emerging and this study aimed to profile the awareness and practice patterns of SLPs practicing in India. Study design: Cross-sectional study. Method: An online survey was used to profile the assessment, treatment and counselling practices in CC among SLPs working in India. It sought to identify the awareness levels among SLPs regarding their role and availability of behavioural interventions for CC. Only SLPs who dealt with CC could complete the entire survey while other SLPs, filled regarding awareness and availability of behavioural interventions. Results: 127 eligible responses obtained from SLPs working across clinical settings in India were analysed. 75.59% (n=96) of them had not seen patients with CC in their career. 47.24% (n=60) of them were aware that behavioural interventions were available for CC. Thirty-one SLPs completed the entire survey and their practice patterns indicated that few clinicians used cough-specific protocols while largely relying on voice and swallowing related assessment and treatment for CC. Conclusion: This survey the lack of awareness of SLPs’ role in CC and that their practices are dominated by existing procedures for voice and swallowing disorders. Increasing the awareness of SLP’s role in CC may increase the caseload of patients referred and expand the SLP’s scope of practice. Development of guidelines in CC practice and inclusion in coursework/curriculum are future considerations.
Teaching Texts as Teaching Taiji
Authors: Geisz Steven ,   Philosophy Documentation Center
Published: August 2024

There are many ways of being a good teacher. Here, I defend a way of teaching Indian and Asian philosophy that consists mainly in reading out loud to and with students—reading slowly, with lots of repetition. Such teaching is analogous to how a Taiji (i.e., “T’ai Chi”) form gets taught in group Taiji classes. This method guides students to adopt the perspectives of the text’s author[s] and imaginatively to inhabit the text’s philosophical space. It differs from lecturing, but it is also unlike “student-centered,” “inquiry-based,” and “active” learning. Indeed, it is “text-centered” or “professor-centered” learning since it invites students to submit to texts and the ways the teacher models engagement with them. This method arguably de-emphasizes “getting students to be able to do philosophy on their own” and instead emphasizes “getting students to have a meaningful experience with philosophy” and “getting students to appreciate the value of philosophy.”
Pengaruh Penambahan Aditif 2-EHN dan Asam Oleat pada Biosolar terhadap Konsumsi Bahan Bakar
Authors: Muhadi Imam , Zainuri Ach Muhib
Published: August 2024

Biodiesel B30 is a blend of 70% conventional diesel fuel and 30% biodiesel, increasingly used as an environmentally friendly alternative. However, to enhance fuel performance and efficiency, the addition of additives such as 2-EHN (2-Ethylhexyl Nitrate) and oleic acid needs further study. This research aims to eval_uate the impact of these additives on diesel engine fuel consumption. The study uses an experimental method to explore the cause-and-effect relationship between independent and dependent variables with a quantitative approach. Collected data is analyzed using statistical techniques to measure and eval_uate the significance and strength of relationships between variables. Through experimental methods and statistical analysis, this research aims to provide a deeper and more scientific understanding of the phenomena being studied. The graph shows that fuel consumption increases with RPM. Oleic acid increases fuel consumption at both low and high RPMs. In contrast, 2-EHN reduces fuel consumption, especially at high RPMs. Overall, 2-EHN is more efficient than oleic acid in improving the performance of B30 biodiesel. The addition of 2-EHN to biosolar fuel reduces fuel consumption, particularly at high RPMs. B30 blends with 0.5% and 1% 2-EHN show better efficiency compared to blends without additives or with oleic acid. Conversely, adding oleic acid increases fuel consumption, especially at high RPMs, indicating lower efficiency.
Eksistensi Tokoh Perempuan dalam Novel Mustika Zakar Celeng Karya Adia Puja: Analisis Feminisme Eksistensial
Authors: Ramadhan Maharani Syifa , Zurmailis Zurmailis , Sukmawati Noni
Published: August 2024

The novel Mustika Zakar Celeng by Adia Puja was chosen as the object of research. This study focuses on how the marginalization of women as Others in a patriarchal environment and how they resist as a form of existence, as depicted by the characters Nurlela, Lilis Komariah, and Kelanti. The three female protagonists are assertive female characters who struggle to be accepted as equal beings with men who especially have the freedom to reject things that are not in line with their existence. In this study, researchers chose a feminist approach. Because this research has a female perspective, the genre chosen for this research approach is feminism. Simone de Beauvoir's theory became the theoretical basis for this research analysis. According to Simone de Beauvoir, women are just the Other for men in life. Men are subjects and women are objects. According to Beauvoir, existentialism is a state when women are no longer objects but subjects in themselves. Descriptive research methodology with a qualitative approach is used in this research. Critical phenomenology, especially existentialist feminist phenomenology, is the research methodology used in this study to reveal and show the existence of women and the relationship between the subject and object of study. There are three forms of marginalization of female characters as Others in this study, including: 1) stereotyping of women, 2) subordination of women, 3) violence against women. From these forms of marginalization, there are three forms of resistance of female characters as a form of existence, including: 1) working 2) doing intellectual activities in daily life 3) rejecting the internalization of her womanhood through words and actions.
Review Article: Cupping Therapy in Treatment of Certain Diseases
Authors: Khudair Safa ,   Department of Biology, College of Sciences, University of Baghdad, Baghdad. Iraq, Hussein Lubna Faisal , Hameed Shahad Imad , Hussein Saif Ali Mohammed ,   Department of Biology, College of Sciences, University of Baghdad, Baghdad. Iraq,   Department of Biology, College of Sciences, University of Baghdad, Baghdad. Iraq,   MedicaL laboratory Techniques. Dijlah University College
Published: August 2024

The research undertaken has provided a comprehensive insight into the practice of cupping therapy, a traditional treatment modality that has seen resurgence in. modern complementary medicine. This exploration, focusing on a spectrum of. Conditions such as migraines, lower back pain, neck pain, knee osteoarthritis, and chronic urticaria, highlights the potential benefits and the necessity for a deeper. Scientific understanding of cupping therapy. Cupping therapy, with its roots deeply embedded in ancient medical practices, offers a unique approach to treatment by promoting healing through increased blood flow and the release of toxins from the body. The application of this therapy in treating migraines has shown promising results, suggesting a decrease in the frequency and intensity of migraine episodes, thus offering an alternative for individuals seeking relief from this debilitating condition. Similarly, in the context of musculoskeletal pain such as lower back pain and neck pain, cupping therapy has been reported to improve patient outcomes by reducing pain and enhancing mobility. This is particularly significant in the treatment of knee osteoarthritis, where the potential for non-pharmacological intervention can provide relief to those suffering from the chronic pain associated with this condition. The current landscape of evidence supporting cupping therapy, while growing, highlights a gap in high-quality, randomized controlled trials that can provide definitive conclusions on its efficacy and safety. As such, this research emphasizes the importance of integrating traditional practices with modern scientific rigor. Developing a clearer understanding of the mechanisms underlying cupping therapy, alongside comprehensive evaluations of its clinical applications, is essential for its acceptance within the broader medical community. In conclusion, the journey of rediscovering and validating the benefits of cupping therapy as a complementary treatment option represents an exciting frontier in the integration of traditional and modern medicine. By fostering a holistic approach to health that respects both historical wisdom and contemporary scientific standards, we can enrich the therapeutic options available to patients. The promise of cupping therapy, coupled with a commitment to rigorous research, holds the potential to enhance patient care and wellbeing in a manner that is both innovative and deeply rooted in history.
The Seven Sleepers (Ashabul Kahf ) in the Holy Bible and Qur'an
Authors: Mohamad Syukri Abdul Rahman  , Zikrullah  , Mohamad Muhajir  , Muhammad Ghazali  , Aditya Putra Harwanto
Published: August 2024

The role of youth as agents of social change is an integral part of the history of every civilization. One fascinating example of youth role models, often overlooked in historical records, is the story of the Seven Sleepers (Ashabul Kahfi). The tale of the Seven Sleepers and their faithful dog is enshrined in the sacred texts of the Abrahamic religions: Judaism, Christianity, and Islam. This article aims to examine and analyze in depth the epic exemplarity of Ashabul Kahf as presented in the Bible, revered by Christians, and the Quran, considered an authoritative source by Muslims. This study seeks to connect the various examples of exemplary behavior with contemporary youth movements, which seem to lack a guiding framework and roadmap for their actions. The methodology used in this article is a content analysis of two authoritative sources: the Bible and the Quran. The findings of this article suggest that the epic exemplarity of Ashabul Kahf in the Bible and the Quran lies in their integrity as youth who chose to defy an oppressive regime.
LAN Network Optimization to Support Practicum Activities Using Action Research Method at STMIK Jayakarta
Authors: Alviyanto Fendi , Budiman Thomas , Sianipar Anton Zulkarnain
Published: August 2024

The importance of using computer networks in campus laboratories to improve the quality of education and research is also increasing. However, there are problems found in the use of computer networks in campus laboratories, namely low data transmission speeds, network insecurity and inaccessible resources. Therefore, this research was conducted to determine the factors that influence the performance of computer networks in campus laboratories, including data transmission speed. Computer networks evolved from point-to-point communication to computers connecting to each other and exchanging information. The research methodology involves experimental data being tested, for example the effect of communication speed on computer network performance in campus laboratories.
Communications Identity Analysis @Viviatal in Forming Personal Branding in Tiktok
Authors: Yohana Magdalena , Christin Maylanny
Published: August 2024

This research aims to analyze @viviatal's communication identity in forming personal branding on Tiktok. This research was conducted using a qualitative approach. This research uses a case study type of research. The subject of this research is the content creator of book reviews, namely Cut Vivi Talita who has the social media account TikTok @viviatal. Data collection methods in this research are interviews, observation, literature study and documentation. Data analysis in this research uses the Identity Communication theory proposed by Michael L. Hecht. The analytical method used in this research is based on the interactive model analysis technique of Miles, Huberman, and Saldana. The research results show that Cut Vivia, through her TikTok social media account @Viviatal, has a strong personal brand and never gives up even though she comes from an underprivileged family background. Cut Vivia builds personal branding through book review content about self-development which is then linked to her life journey to provide motivational value to the audience. Based on the content shared, Cut Vivia is a visionary as seen from her ability to express opinions regarding divorce even though it is known that she has never built a household before.
Organizational Justice and Leadership Style on Employee Job Satisfaction (Empirical Study on Bappeda of West Papua Province)
Authors: Baransano Pamella Ruth , Ruslak Hammar Yunus Tekad Kurniadi
Published: August 2024

This research aims to analyze the influence of organizational justice and leadership style on employee job satisfaction (Empirical Study at the Regional Development Planning Agency (BAPPEDA) of West Papua Province). The results of the research show that organizational justice and leadership style have a positive and significant effect on employee job satisfaction at the Regional Development Planning Agency of West Papua Province. Leadership style has a positive and significant effect on employee job satisfaction at the Regional Development Planning Agency of West Papua Province. Organizational Justice and Leadership Style simultaneously have a significant influence on the job satisfaction of employees of the Regional Development Planning Agency of West Papua Province.
The Effectiveness of Zakat Services in Increasing Economic Independence
Authors: Akbar Taufiq , Amri Amri , Royal Harinata Satrama , Ali Muhammad
Published: August 2024

The effectiveness of zakat services is an achievement of every series of service activities provided by the National Amil Zakat Agency in providing integrated zakat management actions in several service programs, one of which is in increasing economic independence in the community, especially in people who receive/use this zakat service, which in general is still far from being economically independent, so that the achievement of the program, of course, will increase economic independence and have an impact on the welfare of the community itself. In this study, an explanatory research method was used with a quantitative approach and 103 respondents were taken. The data processing and distribution in this study were analyzed using path analysis with the AMOS/Structural Equation Model (SEM) V.22 program.The results showed that the effectiveness of zakat services could increase the level of economic independence positively and significantly in children (cr=4.561:p = 0.048).
Exploring Students' Experience of Using Nearpod in Grammar Lesson in Relation with Students’ Increased Engagement: A Descriptive Qualitative Approach
Authors: Astrini Atik , Wijayanto Agus , Laila Malikatul
Published: August 2024

The research aims to investigate the student’s experience of using Nearpod   related to students’ increased engagement in grammar lesson at SMAN 1 in Surakarta. The significant level of engagement is the key for students to keep up with grammar lesson and then gain better comprehension of the lesson.  The research uses descriptive - qualitative method.  The research applies focus group discussion, in-depth interview, observation techniques and document analysis.  To broaden understanding about the level of engagement, the research explores the students’ experiences in learning grammar using Nearpod. The research then analyzes the data from techniques to identify the pattern, trend, theme and meaning. The result of the research shows that the use of Nearpod in Grammar Lesson has significant impact in increasing students’ engagement. This finding implies the important of integrating subjects with digital platforms to create collaborative and interactive environment of learning
Accounting Information Systems in Religious Institutions: A Systematic Literature Review
Authors: Mandagi Roy , Manopo Raymond , Sumanti Elvis Ronald
Published: August 2024

This systematic literature review examines the design, implementation, and evaluation of accounting information systems (AIS) in religious institutions, focusing on mosques and churches. The review synthesizes findings from English and Bahasa Indonesia sources to identify common themes, challenges, and best practices in AIS development within religious contexts. A comprehensive search strategy was employed, guided by predefined criteria, to select relevant studies published between 2014 and 2024. Key findings highlight the importance of AIS in enhancing financial transparency, accountability, and efficiency in religious organizations. The review also identifies gaps in existing research and provides recommendations for future studies in this area.
Notary Liability on Contract Renegotiation in Business Contracts
Authors: Dwi Dharmayanthi Ni Nengah , Djaja Benny , Sudirman Maman
Published: August 2024

A notary is a public official who is given the mandate to make authentic deeds, one of which is through business contracts. In practice, business contracts often experience various updates for one reason or another. As part of a notary's duties to make business contract deeds, the notary also has the responsibility to ensure that all procedures and contract clauses do not conflict with the law. This research will discuss considerations about the role of notaries in preparing business contract documents, potential sources of disputes related to the implementation of business contracts and provisions for resolving disputes related to business contract deeds. To discuss this problem, an empirical juridical approach will be used through analytical descriptive research. The research concludes that the presence of a notary takes into account the interests of the parties when drafting business contract deeds so that they can anticipate possible conflicts that may arise. The authenticity of a notarial deed becomes absolute with the commitment of the parties concerned to continue to rely on consultation and agreement in resolving disputes that may arise.