bluuebunny/crossref_metadata_2025 huggingface dataset:
A comparative in vitro sensitivity study of “cefepime-tazobactam” and other antibiotics against Gram-negative isolates from intensive care unit
Authors: Kar Mitra , Siddiqui Tasneem , Sengar Shailesh , Sahu Chinmoy
Published: May 2024

Objectives:

The major health problem today includes the emergence of multidrug-resistant (MDR) bacteria, especially extended-spectrum β lactamase, carbapenemases, and Amp C-producing Gram-negative bacilli (GNB). Our study is aimed to recognize the in vitro susceptibility pattern of cefepime/tazobactam compared to other antibiotics used against GNB in an intensive care unit (ICU) setting.

Materials and Methods:

We conducted a prospective observational research comprising all GNB isolated from clinical samples of patients admitted to the ICU throughout the study period from January 2021 to December 2021. All of the isolates were analyzed using “ Matrix Assisted Laser Desorption/ionization - time of flight - Mass spectrometry assay (MALDI-TOF-MS)” for identification and the Kirby-Bauer disc diffusion technique to test for susceptibility. Cefepime-tazobactam was tested by E-test (Hi-Media, Mumbai) method. The minimum inhibitory concentrations (MIC) of cefepime (as in Clinical Laboratory Standards Institute, 2021) has been utilized to elucidate the sensitivity of cefepime-tazobactam, as no criteria for cefepime-tazobactam is available.

Statistical Analysis:

All statistical analysis was performed using the software program IBM Statistical Package for Social Sciences (SPSS) Statistics version 20.0, with P < 0.05 considered statistically significant.

Results:

We included a total of 480 GNB isolated from blood, pus, body fluids, endotracheal aspirates (ETA), and sputum samples. The most common microorganism tested for susceptibility to cefepime-tazobactam was Klebsiella pneumoniae (182/480, 37.92%) followed by Acinetobacter baumannii (135/480, 28.12%), and Pseudomonas aeruginosa (94/480, 19.58%). K. pneumoniae and Enterobacter aerogenes were most resistant to all the antibiotics tested against them. K. pneumoniae was most resistant to meropenem (41/182, 22.53%), followed by imipenem (42/182, 23.08%) and cefoperazone-sulbactam (49/182, 26.92%) and was predominantly found susceptible to cefepime-tazobactam (122/182, 67.04%).

Conclusions:

Cefoperazone-tazobactam is a new “β-lactam/β-lactamase combination” found effective in the in vitro analysis of drug-resistant isolates of GNB.
Blood Smear as A Clue to The Diagnosis of GM1 - Gangliosidosis
Authors:   Clinical and Diagnostic Laboratory, Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Russian Federation, TV Konyukhova , EV Trukhina ,   Clinical and Diagnostic Laboratory, Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Russian Federation
Published: May 2024

GM1 gangliosidosis is a rare hereditary disease from the group of lysosomal accumulation diseases, caused by deficiency of the enzyme Β-galactosidase and leading to abnormal accumulation of metabolic by-products. GM1 – gangliosidosis is accompanied by a number of cytological disorders: multiple vacuoles in lymphocytes; faintly stained, irregularly distributed granules and cytoplasmic vacuolation in eosinophils [1-3]. The article presents a clinical case of GM-1 – gangliosidosis type 1 of a 5-month-old child, which became possible to assume during the study of peripheral blood smears.
Ab initio Spin-Mapping Non-adiabatic Dynamics Simulations of Photochemistry
Authors: Weight Braden , Mandal Arkajit , Hu Deping , Huo Pengfei
Published: May 2024

We perform on-the-fly non-adiabatic molecular dynamics simulations using the recently developed spin-mapping formalism. Two quantum dynamics approaches based on this mapping formalism, (i) the fully linearized spin-LSC and (ii) the partially linearized spin-PLDM, are explored using the quasi-diabatic propagation scheme. We have performed dynamics simulations in four \textit{ab initio} molecular models for which benchmark \textit{ab initio} multiple spawning data has been published. We find that the spin-LSC approach routinely outperforms the spin-PLDM approach and yields a roughly equivalent accuracy to the previously reported symmetric quasi-classical approach. We further explore the underpinnings of the spin-PLDM correlation function by decomposing its various contributions stemming from its summation over all the terms, $N^2$, in the density matrix-focused initial conditions where $N$ is the number of states in the quantum subsystem. Finally, we found an approximate form of the spin-PLDM correlation function that simplifies the simulation and reduces the computational costs from $N^2$ to $N$.
MSIGen: An Open-Source Python Package for Processing and Visualizing Mass Spectrometry Imaging Data
Authors: Hernly Emerson , Hu Hang , Laskin Julia
Published: May 2024

Mass spectrometry imaging (MSI) provides information about the spatial localization of molecules in complex samples with high sensitivity and molecular selectivity. Although point-wise data acquisition, in which mass spectra are acquired at pre-defined points in a grid pattern, is common in MSI, several MSI techniques use line-wise data acquisition. In the line-wise mode, the imaged surface is continuously sampled along consecutive parallel lines and MSI data are acquired as a collection of line scans across the sample. Furthermore, aside from the standard imaging mode in which a full mass spectrum is acquired in each pixel of the image, other data acquisition modes have been developed to enhance the molecular specificity, enable separation of isobaric and isomeric species, and improve the sensitivity to facilitate imaging of low abundance species. These methods, including MS/MS-MSI in both MS2 and MS3 modes, multiple-reaction monitoring (MRM)-MSI, and ion mobility spectrometry (IMS)-MSI have all demonstrated their capabilities, but their broader implementation is limited by the existing MSI analysis software. Here, we present MSIGen, an open-source Python package for the visualization of MSI experiments performed in line-wise acquisition mode containing MS1, MS2, and IMS data. The package supports multiple vendor-specific and open-source data formats. It is available for download from the Python Package Index (PyPI) and its source-code is available at https://github.com/LabLaskin/MSIGen. This package contains tools for targeted extraction of ion images, and allows for normalization, and exportation as image arrays or publication-style images. MSIGen offers multiple interfaces allowing for accessibility and easy integration with other workflows. Considering its support for a wide variety of MSI imaging modes and vendor formats, MSIGen is a valuable tool for the visualization and analysis of MSI data.
Estimating methane emission durations using continuous monitoring systems
Authors: Daniels William , Jia Meng , Hammerling Dorit
Published: May 2024

A small number of large emissions contribute a significant portion of total emitted methane from the oil and gas sector, making them a critical pathway toward emission reduction. These large emissions are often detected by snapshot measurements from aerial or satellite platforms, which have limited ability to characterize emission duration due to the relatively low frequency at which they observe a given source. Duration estimates are necessary for computing the total methane emitted by a given release and will be required for all emissions >100 kg/hr under proposed updates to the EPA's Greenhouse Gas Reporting Program (GHGRP). Continuous monitoring systems (CMS) are a monitoring technology that measure methane concentrations in near-real time and hence can complement snapshot measurements by bounding the duration of detected emissions. However, CMS will not record concentration enhancements during an emission if wind blows emitted methane away from the sensors. We propose a method for estimating emission durations using CMS that accounts for these non-detect times. The method has an average error of 6.3% when evaluated on controlled releases, with 88.5% of estimates within a factor of 2x error from the true duration (i.e., percent error within [-50%, 100%]). We apply the method to a typical production site in the Appalachian Basin and use it to bound the duration of snapshot measurements. We find that failing to account for CMS non-detect times on this site results in underestimated emission durations of up to a factor of 71x (7,000%).
Electrochemical platform of controllable pH gradients in microbial systems
Authors: Wang Jingyu , Xie Yongchao , Chen Yi , Zou Haiyuan , Liu Chong
Published: May 2024

Most microorganisms grow in assemblages with chemical gradients that influence, and are influenced by, metabolism. pH gradient plays an important role in various metabolism processes. Understanding the effects of the pH gradient on metabolism and regulation within microbial assemblages is important for microbial physiology. However, the complexity of the microbial environment makes it hard to decouple the effect of the pH gradient from other species. Therefore, an artificial pH gradient is required to reveal the correlation of the pH gradient and microbial physiology. Here, we demonstrated a controllable pH gradient plate by using electrochemical proton coupled electron transfer reaction based on interdigital electrodes. The morphology design of the interdigital electrodes enables a pH gradient at the level of 10 micrometers, which was demonstrated under confocal microscope with a resolution of 1 micrometer. The electrochemical system also achieved a fast time response of ten seconds. In summary, this platform provided a flexible pH gradient with a high spatial and temporal resolution.
Gold-Catalyzed 1,2-Carboxyarylation of Alkenes
Authors: Nanda Tanmayee , Das Avishek , Bera Prafulla , Patil Nitin T
Published: May 2024

Herein, we have disclosed the gold-catalyzed 1,2-carboxyarylation of alkenes through the ligand enabled Au(I)/Au(III) catalysis. Unlike other approaches for arylative functionalization of C-C multiple bonds that involve the use of strong nucleophiles, attempts to utilize weak nucleo-philes like carboxylate anions were unsuccessful. The key to achieving this transformation is the use of 1,3-diketone appended alkene which undergoes gold-catalyzed oxyarylation followed by retro-Aldol reaction to afford the product. Mechanistic investigations, comprising numerous control experiments, NMR studies, and HR-MS analysis, were conducted to support the proposed mechanism.
Tabib: Chatbot for Healthcare Automation with Audio Assistance using Artificial Intelligence
Authors:   Student, Department of CSE Vemana Institute of Technology, Bangalore, INDIA, Zahoor Kaiser , Basha Noor ,   Professor, Department of CSE Vemana Institute of Technology, Bangalore, INDIA
Published: May 2024

To live a happy and healthy life, people must prioritize their health care. It's not always easy to contact a doctor when you have a health issue, though. The idea is to build a chatbot for healthcare that functions as a virtual assistant using artificial intelligence. The healthcare chatbot system's medical database will be trained using neural networks and natural language processing. The purpose of the healthcare chatbot was to increase access to medical information while reducing overall healthcare costs. There are certain chatbots that function as medical encyclopedias; educating patients about their conditions and helping them take better care of themselves. In the proposed project, a chatbot system converses with patients about their health issues via voice-to-voice and text- to-text and provides a personalized diagnosis based on their symptoms. In addition to text assistance, this chatbot also offers an audio assistance feature that makes it easier for disabled (visually impaired) patients to access the system. This feature eliminates the restrictions that visually impaired patients face with the currently available text-enabled healthcare chat bots. We used the user's current location to locate the specialists nearby and present the information about them. Users can schedule appointments with various physicians in their area. As a result, people will be aware of their health status, receive rapid treatment, and be informed about the best medicines.
A Qualitative Analysis of ML Method in Fruits Adultery and Focus on Fruit Adulteration Detection
Authors:   Associate Professor, Dept. of CSE Vemana Institute of Technology, Bangalore, India, S Roopalakshmi
Published: May 2024

Detecting formalin can be difficult and time- consuming without exact chemical knowledge. The presence of naturally occurring formalin in food products can additionally make it more difficult to distinguish between formalin that has been purposefully added. The method for dynamic and precise food and formalin identification described in this work is machine learning-based. Preserving food practises that put public nutrition in jeopardy include the unethical use of formalin. It was decided what kind of food to provide based on conductive characteristics. With the use of a VOC HCHO gas sensor and a Renesas, the gadget has the ability of detecting formalin concentrations of 1 to 50 ppm. Polynomial regression has been used in a number of investigations to simulate the application of formalin.
Revolutionizing Image Transformation: Unleashing the Power of Machine Learning for 2D to 3D Conversion
Authors:   Asst. Professor, Computer Science & Engineering Vemana Institute of Technology, Bengaluru, INDIA, Krishna Gopala
Published: May 2024

This project offers a comprehensive evaluation of recent advancements in Neural Radiance Field (NeRF), a significant development in Computer Vision. NeRF models, known for their neural network-based scene representation and novel view synthesis, find applications in robotics, urban mapping, autonomous navigation, and virtual reality/augmented reality. The survey categorizes findings into architecture and application- based taxonomies, introducing NeRF theory and training via differentiable volume rendering. A benchmark compares key NeRF models' performance and speed, aiming to objectively assess strengths, weaknesses, and applicability across real-life scenarios. Results cover comparisons with photogrammetry in noise level, geometric accuracy, and image baselines across diverse scenes. NeRFs outperform in scenarios with texture-less, reflective, and refractive surfaces, while photogrammetry excels with cooperative textures.
IoT Based Smart Cradle for Baby Monitoring System
Authors:   Dept. of CSE Vemana Institute of Technology, Banglore, India, R. Dr.Rashmi
Published: May 2024

This initiative introduces the concept of a fully automated nursery designed specifically for infants. The primary goal of this innovation is to alleviate the burdens on exceptionally occupied parents. In today's fast-paced world, working parents often struggle to find sufficient time for infant care. This automated system is engineered to monitor an infant's actions within the nursery and adjust its operations based on those observations. As a result, parents can conserve both their energy and time, as frequent checks on their child are not necessary unless alerted by the system. The functionality of this room is enabled through the integration of various sensors and a microprocessor. These sensors are adept at detecting environmental conditions and the infant’s movements, offering real-time updates and alerts to the parents about their child's status, thereby streamlining childcare.
Identification and Classification of Leaf Diseases using Deep Learning
Authors:   Asst. Professor, Dept. of CSE, Vemana Institute of Technology, Bengaluru – 560034, H S Naveen
Published: May 2024

For agriculture to be sustainable, it is essential to monitor a plant's health and look for diseases. It is quite challenging to manually monitor plant diseases. To improve the agriculture industry and the prosperity of our nation, plant disease must be effectively identified. Several diseases cause the plant's leaves to die. Farmers have a harder time seeing these diseases because it's difficult to care for those plants without knowing about them. The method described in this paper uses Tensor Flow to identify illnesses in plant leaf pictures. CNN training is used on the model proposed to automatically diagnose disease using the object detection API tensor flow. This data is acquired from multiple sources. In order to treat the sickness, the proposed effort will also identify the causes and manifestations of the illness. In the work proposed, to identify plant diseases, sophisticated deep machine learning models based on specific CNN topologies were developed using photos of healthy or diseased plants' leaves. In comparison to existing models, CNN's numerous layers offer a great rating and a 96 percent accuracy level.
Forensic Fingerprint Analysis
Authors:   Assistant Professor, Computer Science and Engineering Vemana Institute of Technology Bangalore, India, A Jagadamba
Published: May 2024

Fingerprint evidence found at crime scenes provides vital impressions left when these skin secretions touch surfaces clues in serial criminal investigations. A fingerprint identification system employing deep machine learning and Convolutional Neural Networks (CNNs) could automate the analysis process. Images obtained from various physical and chemical crime scene investiga2tion techniques are entered into the database. However, partial latent prints lifted from scenes are often difficult to classify. The system operates in three phases: preprocessing fingerprint images, feature extraction, and matching. Preprocessing enhances image quality before feature extraction identifies distinctive minutiae points - ridge endings and bifurcations. False minutiae removal further refines the data. The preprocessed fingerprint data serves as input to train and test the CNN model. As the system persist due to the immutable individuality of fingerprint ridge arrangements [5]. While criminals attempt concealment, fingerprint traces stubbornly remain where other evidence would dissipate [6]. Without these durable biometric markers, crime scenes would often lack the critical traces needed to connect acts to perpetrators [7]. Latent prints lifted from crime scenes first undergo photographic documentation and chemical enhancement techniques in order to visualize trace details [8]. Computer analysis then further improves clarity, isolating minute identifying features known as minutiae [9]. Algorithmic extraction of differentiating traits classifies new latent prints, it continuously incorporates the prints enables training of automated comparison systems using along with confirmed suspect identity matches to improve accuracy. Automated classification and matching facilitate identification. The approach scales as the database grows in size without proportionate growth in human effort. Rapid fingerprint evidence analysis accelerates investigations, potentially solving more crimes by linking serial cases through a central digital repository. I aimed to restate the key technical ideas and flow using alternative vocabulary and phrasing while preserving semantic meaning. Please let me know if you need any clarification or have additional requirements for rephrasing the passage.
Freshness of Food Detection Using Iot and Machine Learning
Authors:   Assoc. Professor, Computer Science and Engineering Vemana Institute of Technology, Bengaluru, India, C R Dr.Mamtha
Published: May 2024

In today's world, food spoilage is a crucial problem as consuming spoiled food is harmful for consumers. Our proposed work aims at detecting spoiled food using appropriate sensors and monitoring gases like carbon monoxide, ammonia and benzene which are released by the particular food item. A micro controller named Arduino that senses this and issues an alert using internet of things, so that appropriate action can be taken. This approach has widespread applications in the food industry, where manual detection methods are prevalent. The preservation of food freshness is critical for ensuring consumer safety and reducing wastage. The proposed machine learning algorithm, Support Vector Machine, has been integrated into this model to estimate the likelihood of food spoilage when purchased from a specific vendor. This will increase competition among retailers to sell more healthy and fresh food and create a safe world for all consumers alike. Through this approach, our project not only enhances food safety but also promotes a culture of freshness and quality in the food supply chain.
A Blockchain-Based Proxy Re-Encryption Method for Safe Data Sharing in the Internet of Things
Authors:   Asst. Professor, Computer Science and Engineering, Vemana Institute of Technology, Bengaluru, Karnataka, INDIA, G Veena
Published: May 2024

Data sharing has emerged as one of the Internet of Things' most beneficial uses in cloud computing. Even though this technology has been visually appealing, one of its challenges is data security because improper usage of data can result in various harms. We suggest a safe data exchange method for cloud environments in this article: proxy re-encryption. Data owners can utilize identity-based encryption to send their encrypted data to the cloud, where it will be accessible to authorized users through proxy re- encryption construction. An edge device serves as a proxy server to manage demanding calculations since Internet of Things devices are resource- constrained. Additionally, by efficiently delivering cached content in the proxy and utilizing the capabilities of information-centric networking, we enhance service quality and optimize network bandwidth. Additionally, the foundation of our system concept is blockchain, a revolutionary technology that permits decentralization in data sharing. Fine-grained access control to data is achieved, and bottlenecks in centralized systems are lessened.
Daily Life Companion: An AI Powered Chatbot for Personalized Daily Life Improvement and Intellectual Health Guidance
Authors:   Assistant Professor, School of Computer Application Lovely Professional University, Punjab, India, Sharma Prof.Aastha
Published: May 2024

Individuals often struggle with managing daily tasks, prioritizing commitments, and maintaining well-being. Identifying and addressing potential mental health concern scan be challenging. This paper proposes a novel approach utilizing a user-friendly chatbot that leverages Natural Language Processing (NLP) to analyze daily journal entries. The chatbot offers personalized suggestions for daily life improvement and non-diagnostic psychological and intellectual health guidance. This paper explores the existing literature on the benefits of journaling and chatbot interventions for mental health, highlighting the potential of NLP-powered analysis to enhance user experience and support.
Implementation of the «Two-Pillar Solution» prospects in the international taxation system
Authors: Zakharov Dmytro
Published: May 2024

The world economy has undergone a rapid digital transformation, which has caused critical discussions about the effectiveness of existing international tax systems. Traditional norms and rules are proving insufficient to solve the dynamic challenges associated with the development of the digital economy, where new sources of value creation and innovative business models challenge the established norms of profit distribution and relationships. At the same time, intangible sources of value creation contribute to tax avoidance by transnational corporations. Base Erosion and Profit Shifting (BEPS) rules are becoming a key initiative to counter these challenges. The article identifies the difficulties in reforming the modern international tax system, emphasizing the need for constant dialogue, cooperation, and adaptation to changing economic conditions. A two-step solution is an important tool in the fight against aggressive tax planning. Current discussions highlight the complex nature of the impact of the digital economy on international tax rules. Effective monitoring of the implementation and impact of the two-step solution is critical to areas for improvement, with international cooperation through the OECD playing a central role in this reform process. The BEPS rules are seen as a critical solution in the evolution of international tax policy in overcoming the challenges associated with the digital economy. The success of the implementation of the two-step solution initiative depends on effective cooperation between countries, in particular in the context of agreements on the avoidance of double taxation. The internal adaptability of this tool has the potential to improve the efficiency of the international tax system, as it directly addresses the challenges and conditions of the digital economy.
GATEWAYS: An Interior Architecture exploration of the effects our environment has on stress and how innovative design principles and intuitive wayfinding systems can reduce these within the context of airport passenger terminals in order to facilitate the outbound
international passenger process.
Authors:   , Shipley Josh
Published: May 2024

Gateways explores the synergy of innovative airport design, effective wayfinding systems, and a consideration of passengers’ mental states to enhance the outbound international passenger experience. The overarching goal is to mitigate stress and anxiety-inducing stimuli. by leveraging passengers’ cognitive abilities for intuitive navigation. The research begins with a comprehensive review of pertinent literature and case studies on airport design, passenger experience, stress, anxiety, and wayfinding. Drawing inspiration from Stanford University’s divergent and convergent methodology strategy, the ‘research through design’ framework integrates both qualitative and quantitative research methods. Qualitative aspects include narrative exploration, case studies, content analysis, and observation, while quantitative methods involve sketching, model making, and digital model production. The study centres around Wellington Airport’s redevelopment for 2040, utilizing personal photography, site visits, and passenger movement studies for analysis. The literature review spans airport-related stress, wayfinding, design, sensory considerations, materiality, and anxiety, while case studies of Daxing International Airport, The New York subway wayfinding system, and Barajas International Airport inform the research. Data analysis involves a synthesis of imagery, text, sketching, model-making, and diagramming. The design process employs tools like sketching, physical and digital model- making using ArchiCAD, and rendering in Lumion. Despite the absence of a formal ethics application, data collection prioritizes anonymity, with a primary focus on passenger movement studies. The culmination is a concept design for Wellington Airport, serving as a digital manifestation of the research findings, with a specific focus on enhancing the international departure process. The analysis underscores that many airports fall short in their internal environments, contributing to stress, and emphasising the pressing need for improved design and wayfinding systems. The concept design for Wellington Airport serves as a practical application, offering tangible solutions to transform the outbound international passenger experience positively.
The role of radiological diagnostic methods in complicated combat chest trauma
Authors: Sukhomlin M. P.
Published: May 2024

Objective. To evaluate the effectiveness of radiation methods for diagnosing combat chest trauma at the stage of specialised surgical care.
Materials and methods. The results of diagnostic measures performed on 51 wounded with bilateral combat chest trauma were analysed. All the wounded underwent chest radiography (if necessary, in two projections). Ultrasound examination of the chest cavity was performed in real time. Spiral computed tomography was performed on multislice computed tomography scanners. Video thoracoscopy was performed in 20 (83.3%) of 24 wounded patients treated at the Department of Thoracoabdominal Surgery of the Zaitsev Institute of General and Emergency Surgery in 2022­2023. In 27 patients treated in the same department and the polytrauma department of the Kharkiv City Clinical Hospital of Emergency Medical Care named after Prof. O. I. Meshchaninov in 2014­2016, video thoracoscopy was not used as a diagnostic method.
Results. An important advantage of spiral computed tomography was that this method makes it possible to accurately determine the nature of damage to the chest cavity organs, the bone skeleton of the chest, post­traumatic complications and plan surgical treatment (correction) of existing injuries at the stage of providing specialised thoracic surgical care, in particular, using thoracoscopic access.
Conclusions. Combat chest trauma is a severe injury that should be considered within trauma protocols, where clinical signs are only informative in the early diagnostic stages for potentially fatal injuries.
Terapi Doa dan Herbal Menggunakan Tumbuhan Pandan Berduri (Pandanus tectorius) dalam Mengobati Sakit Gigi
Authors: Mahdiya Najma Nuro , Abdullah Zuhair
Published: May 2024

The practice of treating toothache using prayer and herbs is still used by some people. Therefore, the purpose of the research namely: 1) to find out the practice of prayer and herbal therapy in treating toothache; 2) to know the benefits of prayer and herbal therapy. This research is a qualitative research, with the type of field research. The primary data sources in the study came from therapists and patients, while the secondary data sources came from books, scientific articles, websites and other relevant sources. Data collection techniques were carried out by interviews, observation, and documentation. The results of this study are: 1). therapy is carried out in several stages, first, the therapist reads prayers and short letters in the Koran; second, the therapist takes the sap of the Pandanus tectorius plant and attaches it to the outer area of the cheek which is close to the part of the tooth that hurts; third, the therapist ends the treatment by reading hamdalah. 2). according to the narrative of the patient, this therapy is beneficial to his recovery. Through the prayer given, the patient feels calm and peace of mind. Psychological conditions like this can bring out the hormone of happiness which also acts as a pain reliever. Scientifically, the Pandanus tectorius plant contains natural chemicals that are anti-inflammatory to reduce inflammation, analgesics to relieve pain, and antibiotics to kill germs and prevent infection. The benefits of prayer and natural chemicals are indicated to be intermediaries in the patient's recovery.
Pemikiran Tasawuf Jalan Nabi-Nabi Perspektif Hussien bin Abdul Latiff Singapore
Authors: Tiyono Agus , Putra Yusdeka
Published: May 2024

This article attempts to uncover and elaborate on the perspective of Hussien bin Abdul Latiff Singapore on the tasawuf jalan nabi-nabi or the Sufi path of the prophets. The tasawuf jalan nabi-nabi emphasizes Awaluddin Makrifatullah, which is the beginning of religion in knowing Allah SWT. This is in accordance with the message of the Prophet Muhammad (peace be upon him) to his companions to invite the Jews to believe in Allah and after introducing them to Allah SWT (makrifatullah), to inform them that the five daily prayers are obligatory. Since it is important for a person to know their Lord before worshiping Him, Allah SWT in the primordial world has introduced our souls to Him. Allah SWT did so in order for a person not to say that they do not worship Him because they do not know Him, or they worship Him because of their ancestors' religion. The research method used in this article is library research or literature review, which includes books and scientific journals related to the main research topic. The nature of this article is descriptive analysis with a normative theoretical approach. Based on the findings presented here, the discussion suggests that contemporary Islamic preaching in most Muslim countries promotes certain schools of thought, such as Wahhabi, Salafi, Maliki, Shia, Shafi'i, Hanafi, and Hambali. The correct preaching should be Awaluddin Makrifatullah, which is the same method used by all prophets and messengers to introduce their people to the One God and to worship Him. Thus, the verse "I have not created jinn and mankind except to worship Me" is interpreted by Ibn Abbas and Sheikh Abdul Qadir Al Jilani as "I have not created jinn and mankind except to know Me."
Potret Manusia Dalam Perspektif Psikologi Islam
Authors: Musripah Musripah
Published: May 2024

Manusia sebagai makluk individu dan sebagai makhluk sosial, sehingga dalam menjalani hidup tidak pernah lepas dari pengaruh lingkungnnnya. Kondisi pemikiran seseorang tidak lepas juga dari pengaruh lingkungannya sesuai dengan perkembangan faktor budaya, ekonomi, politik, pendidikan dan letak geografis dimana ia tinggal. Maka dari itu untuk mengetahui potret manusia dari segi prespektif psikologi Islam dengan lebih baik perlu dipahami esensi manusia dan latar belakang sejarah psikologi Islam. Selaras dengan permasalahan tersebut, penulis menganalisis dan mengkaji berkaitan “potret manusia kajian psikologi Islam”. Dengan tujuan mengetahui bagaimana sesungguhnya potret manusia dalam kajian psikologi Islam. Pendekatan dalam penelitian ini, penulis menggunakan pendekatan peneltian kualitatif library research. Data-data yang digunakan menggunakan data-data primer dan sekunder, analisis yang digunakan mengunakan content analisys. Hasil Penelitian menunjukkan bahwa potret manusia yang holistik dalam perspektif psikologi Islam memberikan sumbangan yang berharga bagi ilmu-ilmu yang menjadikan manusia sebagai objek materialnya. Fitrah jasmani, ruhani dan nafsani yang saling berkaitan dapat menjadi dasar kajian-kajian baru baik dalam psikologi sendiri, dan juga dunia kesehatan seperti terapi holistic, psikosomatis, psikoneuroimunologi (PNI), dan religiopsikoneuroimunologi (RPNI).
Mathematical Investigation of Non-Linear Reaction-Diffusion Equations on Multiphase Flow Transport in the Entrapped-Cell Photobioreactor Using Asymptotic Methods
Authors: Reena A. , Swaminathan R.
Published: May 2024

The mathematical investigation of a multiphase flow transport model intended to clarify the interaction mechanism between reactions and diffusion processes in the gel granules containing the entrapped-cell photobioreactor Rhodopseudomonas palustris CQK 01 is presented in this research. The model uses two pertinent non-linear reaction-diffusion equations for biochemical interactions in the photobioreactor under steady-state circumstances to reflect the substrate and product concentration within the gel granules. The solid phase and liquid phase fluxes within the gel granules and their concentrations are analytically calculated using the asymptotic methods of the Akbari-Ganji method and the homotopy perturbation approach. Our analytical results and the numerical data obtained by MATLAB software are compared to determine accuracy. The analytical results agreed with the simulated results for all possible reaction-diffusion and saturation parameter values. In addition, the impacts of applying two limiting cases—saturated and unsaturated enzyme kinetics—were examined. The close correspondence between the simulated and analytical data demonstrates that the parameters in our suggested solution can be used to simulate the dynamic performance of a system.
Pelatihan analisis kualitas instrumen penilaian hasil belajar dengan pendekatan Clasical Theory dan Item Response Theory di sekolah dasar
Authors: Marlina Marlina , Rahim Abdul , Aziz Fatahul , Arsalaan Ahmad Tsaaqib
Published: May 2024

Pengabdian kepada Masyarakat (PkM) sebagai peningkatan softskill guru pada Sekolah Dasar Negeri 44 Mataram, Mataram, Nusa Tenggara Barat ini bertujuan memenuhi kebutuhan mengenai keterampilan dalam meningkatkan pemahaman dan kemampuan guru dalam mengolah data jawaban siswa menggunakan aplikasi QUEST. Kegiatan pelatihan yang terdiri tahap persiapan, tahap pelaksanaan, tahap pendampingan dan pemantauan, sertHaa tahap evaluasi dan pendampingan. Butir soal yang telah dianalisis, guru dapat memberikan soal yang berkualitas dan terukur sehingga akan berpengaruh terhadap kualitas pendidikan. Kegiatan pelatihan analisis butir soal ini dilaksanakan dalam bentuk pendampingan selama satu kali pertemuan. Metode pelaksanaan ini menggunakan pendekatan partisipatif. Hasil kegiatan diperoleh adanya peningkatan kemauan dan kemampuan guru dalam melakukan pengolahan data dan menganalisa butir soal menggunakan aplikasi QUEST. Oleh karena itu, kegiatan ini telah menjawab permasalah mitra terkait peningkatan mutu pendidikan melalui penilaian dan evaluasi pembelajaran.
SPATIOTEMPORAL VARIABILITY OF HYDROLOGICAL CHARACTERISTICS IN THE MIXING ZONE OF THE PREGOLYA RIVER (SOUTH-EASTERN BALTIC) AND METHODOLOGICAL APPROACHES TO ITS STUDY
Authors: Chubarenko B. V. , Dvoeglazova N. V. , Boskachev R. V. , Shusharin A. V.
Published: May 2024

Based on data from monthly hydrological surveys (1994–2015) and on the historical example of an extreme surge in the mouth area of the Pregolya River (tidal dynamics is absent), the principles of spatio-temporal monitoring of the formation of physical barrier zone are discussed.The approach to the analysis of hydrological conditions in the mixing zone of sea and bay waters based on vertical CTD soundings of the water column through a network of spatially fixed monitoring stations has been expanded by conducting long-term series (from September 10, 2019 to March 27, 2020 – just over 6 months, from October 21, 2022 to December 27, 2023 – one year and two months) of daily vertical soundings at the “control point” in the middle of the mixing zone, which made it possible to identify changes within the synoptic scale. The presence of short-term variability in hydrological characteristics (temperature and salinity) in the barrier mixing zone of the Pregolya River showed the need to use automated measurement methods to record the response of hydrological conditions to storm events. An assessment of the error in determining salinity and temperature associated with the natural spottiness of water and fluctuations in the density jump layer showed that measurements of salinity and temperature should be analyzed with an accuracy of tenths and hundredths, respectively. It was determined that vertical convective mixing during winter cooling cannot occur inside the mouth mixing zone, because this is prevented by the presence of heavier brackish waters.
Web Application for SIGMA Kaleidoscope
Authors: Verlinden Wouter , Junius Saar , Varewyck Machteld , Verbeke Tobias
Published: May 2024

Abstract
In specific contract No 13 issued under the framework agreement OC/EFSA/AMU/2019/02, EFSA requested Open Analytics to implement a web application SIGMA Kaleidoscope composed of different modules addressing the need of generating customized visualizations for African swine fever (ASF) epidemiological data with the possibility of selecting the species (wild and/or domestic), the geographical area, the time frame and many other analytical parameters of interest. These visualization components can be used to elaborate an epidemiological report with automatic text creation. The web application integrates different types of data sources and data formats in order to generate insightful tables and graphs covering surveillance activities, spatial and temporal dynamics, disease outbreaks and impact estimators. Users will be able to generate a report summarizing the results obtained throughout the application. The web application has been developed and tested using ASF data, but the ‘Summary’ module can also be applied to the outbreak data of other diseases.
Optimal Shock Wave Frequency and Energy, Important Factors for Renal Stone Fragmentation in ESWL: A Prospective Randomized Trial
Authors: Javed Muhammad Sheraz , Akmal Muhammad , Khan Aamir Imtiaz , Bashir Malik Muhammad Tahir
Published: May 2024

Background: Kidney stones are crystalline structures with high prevalence rate across the globe. Different treatment method are used to treat renal stones among which extracorporeal shock wave lithotripsy (ESWL) shows promising results for stone free rate among non-invasive treatment modalities. Different factors govern effectiveness of lithotripsy among which shock wave frequency and energy had always been in debate as they have direct effect on responsiveness of ESWL. Objective: Comparison of different energy and shock wave frequency levels in terms of effectiveness in stone fragmentation. Study Design: Prospective randomized study. Settings: Department of Urology, DHQ Hospital/Faisalabad Medical University, Faisalabad Pakistan. Duration: April 2018 to September 2020 (2.5 Years). Methods: 120 patients enrolled using non probable consecutive sampling according to inclusion and exclusion criteria. Patients subjected to four sessions of ESWL using electromagnetic lithotripter and stones observed for fragmentation. Patients divided into four groups i.e. A, B, C and D depending upon frequency and energy of shock waves applied.(Group-A: Frequency 60 shocks/min Energy 50)(Group B: Frequency 90 shocks/min Energy 50)(Group C: Frequency 60 shocks/min Energy 65)( Group D: Frequency 90 shocks/min Energy 65). Each group further divided into subgroups 1 and 2 according to age as subgroup I patients having age 15-35 years and subgroup II having age 36-55 years. Statistical analysis done and P < 0.05 was taken as statistically significant. Results: 120 patients enrolled from age 15-55 years with mean age 37.191 + 11.09. Results showed that response of ESWL is statistically significant when frequency is low however both energy levels have equal response for effectiveness. Conclusion: We conclude that ESWL is an effective treatment method for renal stones when frequency of shock waves is less and combining it with low levels of energy shows with promising stone fragmentation rate with minimal side effects.
Reflexiones sobre la innovación en la enseñanza-aprendizaje de materias no lingüísticas en una lengua extranjera
Authors: Olvera-Romero Candelaria E. , Romero-Moyano Alejandra A.
Published: May 2024

En este texto se hacen algunas consideraciones acerca del desarrollo de la competencia comunicativa en una lengua extranjera como factor de integración y desarrollo social; sobre el auge de la educación internacional y, por consiguiente, de la necesidad de conocer un segundo idioma para poder acceder a ella, así mismo se muestra la importancia de su democratización dadas las facilidades u obstáculos que representa para contar con mayores oportunidades de crecimiento; además se plantea la metodología que favorece el aprendizaje de una lengua extranjera, al sustraerlo como objetivo principal de la enseñanza y enfocarlo como un medio para lograrla, y que además potencializa la obtención de los beneficios propios de una mente bilingüe.
The Mediating Role of Work Loyalty in Relationship Between Professionalism on Employee Performance
Authors: Ja'is Muhammad , Suyono Joko , Elisabeth Damarsari Ratnasahara
Published: May 2024

Purpose: The purpose of this study is to analyze the influence of professionalism on employee performance, professionalism on work loyalty, and to analyze the mediating role of work loyalty.
Design/methodology/approach: The sample in this study were 74 employes of regional drinking company owned by the regional government in East Kutai, Indonesia. Questionnaire was used to obtain the data and data analysis technique used was Partial Least Square (PLS).
Findings: The results indicated that professionalism influences employee performance, professionalism influences work loyalty, and work loyalty is able to mediate the influence of professionalism on employee performance.
Research limitations/implications: This research is limited to doing regional drinking company owned by the regional government in East Kutai, Indonesia. For generalization so that further research can be carried out in different organizations or companies and in different regions (cities).
Practical implications: The results of this research can be used as a reference to improve employee performance in regional drinking company owned by the regional government and similar industries.
Originality/value: The results of the research show that among the variables of professionalism and work loyalty need to be implemented in regional drinking company owned by the regional government and similar industries.
Social Housing with Community Support in Québec: A Sociopolitical Perspective
Authors: Jetté Christian , Bergeron-Gaudin Jean-Vincent
Published: May 2024

The 2022 adoption of a new policy framework on community support in social housing in Québec speaks to a convergence of a multitude of community, government, and municipal actors around this practice. This qualitative study delves into the process by which this approach was institutionalized to demonstrate how community support became a central norm of the social housing field in the province. Drawing from literature on the welfare mix, we situate this phenomenon in the broader context of the transformation of the welfare state, in which nonprofit organizations played an increasing role in providing social housing to vulnerable populations (e.g., people at risk of homelessness). This article demonstrates how power dynamics and negotiations between the state and the third sector were, in this case, a major source of institutional change over time.
TEACHER AND SCHOOL ADMINISTRATOR VIEWS ABOUT TEACHING PROFESSION LAW
Authors: YILAN Recep , YILAN Melek
Published: May 2024

Bu çalışma öğretmenlerin ve yöneticilerin Öğretmenlik Meslek Kanununa ilişkin görüşleri betimleyici bir yaklaşımla incelemiştir. Çalışma nitel araştırma yönteminde ve olgubilim deseninde gerçekleştirilmiştir. Kahramanmaraş ili Dulkadiroğlu
ve Onikişubat ilçelerinde ilkokul, ortaokul ve liselerde görev yapan 24 katılımcı ile yarı yapılandırılmış görüşmeler yapılmış ve elde edilen veriler betimsel analiz yönetimi kullanılarak analiz edilmiştir. Araştırma sonucunda;
Öğretmenlik Meslek Kanununun çıkmış olması tüm katılımcılara göre olumlu bir durum olarak değerlendirilmiştir. Yine bütün katılımcılar Kanunun iyi bir başlangıç olduğunu ancak bazı noktalarda eksiklikler içerdiğini düşünmektedirler.
Katılımcılar Kanunun dar kapsamlı olduğunu, öğretmenliğin prestijini ve refahını artırmadığını, kariyer planlamasının sınava göre yapılmasının uygun olmadığını, uzman öğretmen ve başöğretmen olma şartlarının ağır olduğu düşündükleri
belirlenmiştir. Katılımcılar Öğretmenlik Meslek Kanununun iyileştirilmesi ile ilgili olarak kariyer planlamasının 10 yıldan daha az olması gerektiği, sınav şartının olmamasını, ekonomik iyileştirmeleri içermesi gerektiğini ve öğretmenliğin
prestijini artırma açısından daha kapsamlı olması gerektiğini önermişlerdir.
IMPOLITENESS IN THE TAMING OF THE SHREW: A PRAGMATIC ANALYSIS
Authors: DEMİRAY Müjde , ŞEKERCİ Ömer
Published: May 2024

Pragmatics, as a sub-field of linguistics, requires social, situational and textual contexts to understand language in use in certain speech events. Moreover, gender is a defining factor in pragmatics that shows interlocutors’ limits,
capacities and roles in society. This present paper aims to demonstrate how Jonathan Culpeper’s Impoliteness Strategies are adopted by Petruchio and Katharina, the two main characters in The Taming of the Shrew and demonstrate
their values, relationship and linguistic impoliteness from a pragmatic perspective with a discourse analytic approach. Gender roles in the play determine how the female and male characters communicate and employ impoliteness strategies
according to traditional gender roles. The play deals with a patriarchally enforced marriage and gender roles determined by the patriarchy. The selected dramatic extracts show that Katharina, a socially inappropriate and defiant
female protagonist, attacks Petruchio, her suitor, with positive impoliteness, while Petruchio keeps employing positive politeness. However, their marital bond obliterates the social distance between them. Katharina has no choice
but to face her husband’s positive and bald on record impoliteness to find peace towards the end of the play.