bluuebunny/crossref_metadata_2025 huggingface dataset:
ISOLATION OF MICROPLASTICS FROM FRESHWATER MACROINVERTEBRATES IN THE DANUBE RIVER
Authors: Stanković Jelena , Raković Maja , Paunović Momir , Atanacković Ana , Tomović Jelena , Milošević Đurađ
Published: June 2022

The study was conducted on the Danube River, within the project Joint Danube Survey 3 (JDS3). The main aim was to estimate the quantity of microplastics in aquatic ecosystems through passive biological monitoring. Three freshwater species were used for microplastic (MP) isolation from different taxonomic groups of organisms: Mollusca, Oligochaeta, and Chironomidae (Diptera), with the following species: Lithoglyphus naticoides (C. Pfeiffer, 1828), Limnodrilus hoffmeisteri (Claparede, 1862), and Chironomus acutiventris (Wülker, Ryser & Scholl, 1983), respectively. The samples were collected from 6 sites along the Danube River where 540 specimens were examined. The samples were digested by alkaline method (incubation in 10% KOH solution at 60 ⁰C for 24 h) and filtered through a mill silk, 10 µm mesh size. Collected particles were categorized as: fibre, hard plastic, nylon, rubber, or miscellaneous. Categories were divided into subcategories based on the coloration of the particles. Particles ingested by organisms were represented mostly by fibres and fragmented hard plastics, within the size range were from 0.03 to 4.87 mm. A total of 678 MP particles were collected with an average of 4.64 ± 1.59; 1.64 ± 0.46 and 1.24 ± 0.34 items/organism isolated from L. hoffmeisteri, L. naticoides and C. acutiventris, respectively. According to results, L. hoffmeisteri, L. naticoides and C. acutiventris could be used as proper bioaccumulators of MP pollution in the Danube River.
Hotel Booking Prediction using Machine Learning
Authors: Kumar Pranav , Sharma Sarthak
Published: June 2022

Abstract: In this Project ‘Hotel Booking Prediction’, an accurate booking cancellation forecast by which user know the things related to hotel bookings very earlier. Booking cancellation has a significant effect on revenue which essentially affects request the board choices in the inn business. To reduce the cancellation effect, the hotel applies the cancellation model as the key to addressing this problem with the machine learning-based system developed. By combining data science tools and capabilities with human judgement and interpretation, this project aims to demonstrate how the predictive analysis of the model can contribute to synthesizing and predict about booking cancellation forecasting. Furthermore, this project aims, by detailing the full prediction & analysis, to give relaxation to user who want to apply in particular hotel. By Implement Various Algorithms like Logistic, KNN, Random Forest, Decision Tree, etc. to classify the data and also use Evaluation Matrix to separate categorical data in particular type, user can know the prediction up to the desired level. It prevents the hotel as well as Tourists to poor dealing of room. User/Customer have to enter certain field by which this model detects his prediction about the cancellation. Keywords: Logistic Regression, KNN, Random forest, Decision Tree, Evaluation Matrix.
A Waste Segregation Bin
Authors: Roy Annoy , Kaushik Vartika , Kumar Saurav
Published: June 2022

Abstract: The primary idea of this project is to create a waste segregation bin which is equipped with a number of sensors to effectively sense the nature of waste and place it in the correct bin. We are also using a LIDAR system so that it can traverse autonomously from house to house in order to collect the waste sample. The system is also equipped with a RFID module so that it can reward the person who uses it. The waste bin would also be attached with an ultrasound sensor connected to a web application using NodeMCU so that the authorities can monitor the level of waste present in the bin. This would save fuel for them and it would also help the companies requiring those waste products to know beforehand how much waste they will get on a particular day. The companies will pay the authorities some amount for the waste product. The authorities will keep some amount for maintaining the equipment and building more such items and pay the rest to the persons who provide the waste as the data is already available through the RFID card reader. It would be a benefit for the companies as they are getting the waste at a lower cost, the citizens would get a reward for throwing the waste in the proper bin. We are also planning to use aluminum instead of plastic as it is more durable so less cost of maintenance. Keywords: Autonomous traversal, Solidworks designing, Electrical,
Vitamin Deficiency and Food Recommendation System Using Machine Learning
Authors: Lakshmi N. Naga , Reddy M. Jagadeesh , Krishna K. Hari , Reddy S. Sindhuja
Published: June 2022

Abstract: People are not paying attention to the quality of food they eat in our fast-paced and hectic world. They frequently ignore their eating routines and behaviours. Fast-food consumption is frighteningly increasing, which has resulted in the consumption of harmful foods. This causes a variety of health problems, including obesity, diabetes, and an increase in blood pressure, and so forth. As a result, it has become critical for people to have a well-balanced nutritionally sound diet. There are several applications that are thriving to assist folks in gaining control of their food and therefore can help individuals lose weight or maintain their fitness and health. The study article proposes healthy eating habits and patterns so that anybody may know the number of calories expended, macronutrient intake, and so on using data mining technologies. This technology is designed to uncover hidden patterns and client eating habits from various data sources. This approach will aid in tracking and improving an individual's health as well as the types of food that they should avoid in order to reduce their chance of disease. A balanced diet is one in which the intake of each basic nutrient meets its sufficient demand and real caloric intake equals calories burnt. Additionally, making a variety of dietary choices is vital for lowering the chance of acquiring chronic illnesses. This diet recommendation system tailors its recommendations to each individual depending on their eating patterns and body data. This study aids in the prediction of a healthy diet for any individual, as well as the construction of a diet plan based on the needs of the patient. Keywords : BMR, Healthy Diet, Recommender System, Harris Benedict equation, Nutrition, Calories, Data mining
A Multi-View Learning based Clustering Method for Health Care System
Authors: Garg Neha , Shrivastava Sunidhi
Published: June 2022

Abstract: Patients in hospitals have faced complications due to measurement errors, missing data, privacy issues etc. in electronic medical records. However, these medical records from heterogeneous sources have both structured and unstructured data. In particular, unstructured clinical data is valuable source of information including patient’s records of pathology data, radiology findings, medication order etc. However, to scrutinize, construe and presentation of this unstructured and high dimensional data is one of the significant modeling challenge that clinical support system has faced from many years before. Therefore, there is a need of some standard technique to locate both subjective and objective guesstimates of patient’s condition. Our endowments in this paper are twofold. First, present a multi-view learning technique, i.e. Collective Matrix Factorization to combine the extracted features from multiple views and gives a low dimensional representation of combined clinical data. Second, proposed a Genetic-K-means based clustering algorithm based on Collective Matrix Factorization for heterogeneous clinical records. It has been observed by the experiments that proposed method gives more accurate clustering results than existing method. Keywords: Clinical notes; Collective Matrix Factorization; Genetic; heterogeneous data; K-means; Multi-view learning.
Advanced Driver Assistance System for Drivers using Machine Learning and Artificial Intelligence Techniques
Authors: Salve Shubham , Jadhav Tejal , Gajare Siddhi , Patil Prof. Hani
Published: June 2022

Abstract: Machine learning techniques have been used in order to predict the condition and emotion of a driver to provide information that will improve safety on the road. It is an application of artificial intelligence. The face, an important part of the body, conveys a lot of information. When a driver is in a state of fatigue, the facial expressions, e.g., the frequency of blinking and yawning, are different from those in the normal state. In this paper, we propose a system called “Advanced Driver Assistant System”, which detects the drivers fatigue status, such as yawning, blinking, and duration of eye closure, using video images, without equipping their bodies with devices. Artificial Intelligence is a method by which systems can automatically learn as well as improve without being explicitly programmed. A driver’s condition can be estimated by bio-indicators, behavior while driving as well as the expressions on the face of a driver. In this paper we present an all-inclusive survey of recent works related to driver drowsiness detection and alert system. We also present the various machine learning techniques such as CNN algorithm, HAAR based cascade classifier, OpenCV which are used in order to determine the driver’s condition. Finally, we identify the challenges faced by the current systems and present the corresponding research opportunities. Keywords: Convolutional neural network, fatigue detection, feature location, face tracking, Artificial Intelligence, Autonomous Vehicle Technology, Drowsiness Detection, Machine Learning.
Study of the Surface Texture of Magnetron Sputtered Transparent Conducting ZnO:Al films by Atomic Force Microscopy
Authors: Das Rajesh
Published: June 2022

Abstract: Transparent conducting ZnO: Al films with proper surface texture have been developed on glass substrate at 3500C by rf-magnetron sputtering under Ar and Ar+O2 gas ambients. ZnO:Al films exhibit low resistivity (~ 8.9x10-4 Ω-cm), and high optical transmittance (T~ 85% to 90%) in visible region. Study of surface texture ZnO:Al films by dry (hydrogen plasma) etching and wet chemical etching in diluted 0.5% HCl acid solution have been reported in this paper. Due to hydrogen plasma etching surface topography as well as morphology of ZnO:Al films is modified into suitable texture for light scattering. But surface texture is deteriorated drastically for wet chemical etched films. Electrical properties have been improved slightly and optical transmittance remains undeviated due to H-plasma etching but significant changes in electrical and optical properties have been observed in wet chemical etching. Keywords: ZnO:Al films, Surface Texture, Wet Chemical etching, Atomic Force Micrograph, Thin film solar cell
Benefits of AWS in modern Cloud over On-premises Method
Authors: Habib Vivek , Patil Chirag
Published: June 2022

Abstract: This research paper gives an overview of the benefits of AWS in the modern cloud over the On-premises methods that we use earlier before cloud computing is introduced. Cloud computing is performing well in today’s World and boosting the ability to use the internet more than ever. Cloud computing gradually developed a method to use the benefits of it in most of the organizations. It is very demanding in all businesses tasked with improving the quality of service, reducing costs as the organization pays for the service only what they consume based on the incoming and outgoing traffic. Keywords: Cloud Computing, AWS services, On-premises method, Compute Services, Networking Services, Database Services, Storage Services.
Study and Research Analysis of Automatic Traffic Signal with Hydraulic System
Authors: N Dr. N Tamilselvan
Published: June 2022

Abstract: The overall objective of our project is to grasp the role of traffic system and its management. To avoid the traffic issues we are suggesting an idea of automatic hydraulic barrier system.Apart from offering other advantages features of automatic hydraulic barriers are first choice if heavy loads must be moved , lifted or controlled. This technique hydraulic barrier operated by PLC programming for controlling traffic in step with change the signal will decided by calculating no. of vehicles passes through.Some research papers proposed earlier regarding barriers and hydraulic actuators, but they need research gap which one we are visiting to fulfill the one among the newest technology is Automatic Hydraulic Barrier. This project Automatic Hydraulic barrier on the state highways to control the traffic irregularities and accidents. The material required for automatic traffic control is Hydraulic barrier, webcam, varieties of sensors, manual switch, relay ,piston. When the lights on traffic signals on the hydraulic actuators starts lifting and its is at upward until the green lights activate. When the red light are on the those that need to cross the road they’ll cross easily with safety and no vehicles move forward until the green light are on. This manner we will control the traffic irregularities and reduce the numbers of accidents. Keywords: Traffic signal control, Hydraulic system, Signal timing , Automatic traffic control,Passenger safety etc.
Depression Detection Using Convolutional Neural Network
Authors: Patil Sagar , Jagtap Prof. Nalini , Jadhav Kaustubh , Desai Abhijeet , Shaikh Abdul
Published: June 2022

Abstract: Clinical depression is a type of soft biometric trait that can be used to characterize a person. Because of its importance in a variety of legal situations, this mood illness can be included in forensic psychological evaluations. In recent years, research into the automatic detection of depression based on medical data has yielded a variety of algorithmic approaches and auditory indicators. Machine learning algorithms have recently been used successfully in a variety of applications. Automatic depression recognition - the recognition of expressions linked with sad behavior is one of the most important applications. Modern algorithms for detecting depression usually look at both geographical and temporal data separately. This research introduces a novel machine learning strategy for accurately representing face information associated to depressive behaviors from real-world medical data. Our suggested architecture outperforms state- of-the-art algorithms in automatic depression recognition, according to results from two benchmark datasets. Keywords: Depression recognition, deep learning, deep neural network.
ANALISIS PENGARUH PRICE TO BOOK VALUE, INDEKS HARGA SAHAM GABUNGAN (IHSG) TERHADAP RETURN HARGA SAHAM SEBELUM DAN PADA SAAT PANDEMI PADA PERUSAHAAN TELEKOMUNIKASI
Authors: Ikrom Ikrom , Suliswanto Muhammad Sri Wahyudi , Fuddin Muhammad Khoirul
Published: June 2022

The purpose of this study is to determine and analyze the effect of price to book value, the composite stock price index, and the covid-19 dummy on the stock price of the telecommunications sector per quarter in 2019-2020. This study uses panel data and hypothesis testing. The results of this study indicate that price to book value, the composite stock price index, and the covid-19 dummy have a positive and significant effect on stock prices in the telecommunications sector. This proves that if the stock price increases by 1%, the price to book value, the joint stock price index, and the dummy will also increase.
ANALISIS TINGKAT PENYALURAN KREDIT INVESTASI PADA BANK UMUM DI PROVINSI BALI (2010-2019)
Authors: Prasetyo Levina , Zuhroh Idah
Published: June 2022

The purpose of this study is to determine whether there is an influence on the level of disbursement of investment credit at commercial banks in the province of Bali with the variables used, namely, Non Performing Loans (NPL), Loan to Deposit Ratio (LDR), Third Party Funds (DPK) and Inflation in 2010Q1-2019Q4. The data used in this study is secondary data, which comes from the publications of Bank Indonesia in the 2010-2019 Regional Economic Studies. This research uses multiple linear regression analysis method. The results of this study indicate that the NPL variable has a significant negative effect on the level of investment credit distribution, the LDR variable has a positive and insignificant effect on the level of investment credit distribution, the DPK variable has a significant positive effect on the level of investment credit distribution, the inflation variable has a positive and insignificant effect on the level of lending investation. And simultaneously the variables of Non Performing Loan (NPL), Loan to Deposit Ratio (LDR), Third Party Funds (DPK), Inflation simultaneously (simultaneously) have a significant effect on the variable of investment credit distribution.
The Phenomenon of Mistrust in Church-State Relations of the Russian Empire in the 1860–1870s. Conflicts between the Consulate and the Russian Ecclesiastical Mission in Jerusalem
Authors: Alekseev A. I.
Published: June 2022

The history of the Russian presence in Palestine has received a worthy coverage in the literature. In recent years, there has been an active surge of interest in this topic. At the same time, some aspects of the relationship between the Russian Ecclesiastical Mission and the Consulate in Jerusalem remain insufficiently studied. The article analyzes the three most acute conflict situations that took place in the history of the Second, Third and Fourth Missions in Jerusalem: under Bishop Kirill (Naumov) in 1857–1862, Archimandrite Leonid (Kavelin) in 1864–1865 and under Archimandrite Antonin (Kapustin) in 1879–1881. The corpus of published documents from the funds of the Foreign Policy Archive and other archives makes it possible to identify the positions of the conflicting parties and trace the main processes of the development of crisis situations. For the first time, documents from the funds of the Department of Manuscripts of the Russian National Library are being introduced into scientific circulation. The study of the correspondence between the consuls and the members of the Palestinian Committee who stood behind them, as well as the heads of the Russian ecclesiastical missions, revealed the hidden causes of the conflicts. Secular in nature, the Palestinian Committee became the sole steward in the construction and management of all Russian religious buildings in Palestine. At the same time, the Spiritual Mission lost all means of influencing the numerous pilgrims from Russia. The Jerusalem consulate, being the official representation of the Foreign Ministry, in fact acted as an agency of the Russian Society of Shipping and Trade. In all conflict situations, the Consulate enjoyed the support of the Ministry of Foreign Affairs, and the Holy Synod practically did not take measures to protect the mission. Two chiefs of the mission, Bishop Kirill (Naumov) and Archimandrite Leonid (Kavelin), were removed from their posts due to the intrigues of the consuls. Archimandrite Antonin (Kapustin) retained his post only by accident due to the intercession of influential nobles. All conflict situations were based on the deep distrust of secular institutions in the spiritual authorities. These manifestations of mistrust were especially vividly manifested in the Holy Land.
Main features of the modern environmental agenda of the Alternative for Germany
Authors: Lisenkova A. D.
Published: June 2022

This article is devoted to the environmental agenda of the national party Alternative for Germany. The main features of this agenda’s development are being analyzed through its federal and European election programmes from 2013 to 2021. First of all, the author defines the specifics of the party’s evolution outside the environmental context to demonstrate the gradual enlargement of the spheres of party interests and the transition from an exclusively economically oriented liberal conservative Eurosceptic course to far-right and populist, anti-immigration and Islamophobic tendencies. Then the article illustrates the important role of the common European environmental context, where actions to combat climate change are getting more prioritized. This is reflected in the new course for the Alternative for Germany, aimed at denying the advisability of climate measures in Germany and the European Union. The latter has leadership ambitions in the global political arena in the fight against climate change and the high popularity of this environmental topic is among voters. It’s the reason why climate change was coming to the fore in the party’s populist rhetoric. At the same time, the author questions the possibility of near-term environmental and, above all, climate or even anti-climate coordination between the Alternative for Germany and ideologically similar partner parties in the Identity and Democracy group of the European Parliament.
Current approaches to state housing policy
Authors: Likhtin A. A. , Muftakhova A. N.
Published: June 2022

The housing sector is the most important area of society’s development, in which housing needs are met. The article presents the results of a study of the state housing policy in the modern large city of St. Petersburg.

The paper presents the results of a study of the state housing policy in the modern large city of St. Petersburg. The article identifies the most significant trends in the transformation of the housing sector of the Russian Federation, shows the inconsistency of the processes of their implementation. The necessity of taking into account the positive experience of minimizing social inequality in the housing sector is substantiated. Attention is drawn to the existence of contradictions in the priorities of the State Program ≪Providing citizens of the Russian Federation with affordable and comfortable housing≫, which results in the restriction of the right of citizens to meet their housing needs.

It seems that the analysis of contradictory trends in the development of the housing sector, which is the purpose of the presented work, will be a definite contribution to the study of the modern housing sector in Russia, as well as the development of practical recommendations aimed at improving the state housing policy and its implementation.
Public Administration Transformation Based on Research in Social Neurosciences in the Context of Sustainable Development. (Part 1)
Authors: Slanevskaya N. M.
Published: June 2022

The article proposes a new approach to public administration and social structure using the neuroscientific method of social neurosciences. The global growth of social conflicts, suicides, violence and neuropsychic disorders confirms the failure of existing social systems and state management. The results of research in social neurosciences show the fallacy of many theoretical propositions on the basis of which the practice of state management is built. The advantage of the neuroscientific method of social neurosciences is that it provides an empirical test of theoretical propositions; is human-oriented, as it studies the neurobiological response of a person in different areas of social life; shows the true attitude of a person to the situation before his conscious control; demonstrates how the social structure affects the brain, the neuropsychic state of a person, behavior and health in general. There is a need to revise public administration, and this will require a special programme of research on the relationship between the patterns of thinking, the neurobiological response of the brain and social problems, which will help to determine the parameters of the organization of society in which the human brain and mind will function optimally. Maintaining a healthy brain and developing people’s mental abilities is the main task of public administration, because it is the intellectual ability of the population that the state’s success in all areas depends on.
Motivations for Pursuing Enhanced Skill Credentials in Family Medicine: A Study of the Certificates of Added Competence in Canada
Authors: Grierson Lawrence , Allice Ilana , Tong X. Catherine , Yu-Hin Siu Henry , Mountjoy Margo , Howard Michelle , Guscott Jesse , Farag Alexandra , Baker Alison , Vanstone Meredith
Published: June 2022

Background and Objectives: The College of Family of Physicians of Canada’s Certificates of Added Competence (CACs) denote enhanced-skill family physicians who function beyond the scope of family practice or in specialized areas fundamental to family medicine practice. The credential provides recognition for skill development in areas of need and is intended to augment comprehensive care; however, there are concerns that it increases focused practice and decreases commitment to generalist care. To inform credentialing policies, we elucidated physician and trainee motivations for pursuing the CAC credential.
Methods: We conducted secondary analyses of interview data collected during a multiple case study of the impacts of the CACs in Canada. We collected data from six cases, sampled to reflect variability in geography, patient population, and practice arrangement. The 48 participants included CAC holders, enhanced-skill family physicians, generalist family physicians, residents, specialists, and administrative staff. We subjected data to qualitative descriptive analysis, beginning with inductive code generation, and concluding in unconstrained deduction.
Results: Family physicians and trainees pursue the credential to meet community health care needs, limit or promote diversity in practice, secure perceived professional benefits, and/or validate their sense of expertise. Notably, family physicians face barriers to engaging in enhanced skill training once their practice is established.
Conclusions: While the CACs can enhance community-adaptive comprehensive care, they can also incentivize migration away from generalist practice. Credentialing policies should support enhanced skill designations that respond directly to pervasive community needs.
Protocolo de validación de la higienización en Bancos de Leche Humana
Authors: Ramírez Rivera Axel Lombardo , Marín Idárraga Diego Alberto , Hernández Murillo Luz Karime , Cardoso Henao Nicolás Eduardo , Quimbayo Murillo Sharik Vanessa , Lagos Mendoza Sofía Loreney
Published: June 2022

La Universidad Nacional Abierta y a Distancia (UNAD) mediante el proyecto: validación de la higienización del material de vidrio utilizado en el Banco de Leche Humana en el Hospital Federico Lleras Acosta E. S. E. de Ibagué – Tolima, Colombia, hace partícipe a toda la comunidad académica e investigativa de esta producción realizada por el semillero SEPRON-BIOTECAL del Grupo de Investigación GIEPRONAL de UNAD, en articulación de las Ciencias de la Salud y el programa de Ingeniería de Alimentos en su respectiva línea de investigación: Ingeniería en procesos de alimentos y biomateriales; en el marco de la cooperación realizado entre el Banco de Leche Humana (BLH) y sus áreas (fraccionamiento y distribución de leches, procesamiento y extracción) y al Lactario; relacionando los procesos de recepción, prelavado, lavado, esterilización, empleo, inactivación y almacenamiento de materiales, con la participación de profesionales externos, el Laboratorio de Salud Pública del Tolima, y personal del hospital. A raíz del impacto de los resultados del proyecto, se recomienda que esta documentación sea implementada en las prácticas cotidianas del Banco de Leche Humana de la Unidad Neonatal del hospital, para que puedan dar cumplimiento a los estándares de calidad e inocuidad de los frascos y el material de vidrio utilizados en la rutina diaria del BLH y del Lactario, como también procurar en el marco del sistema de gestión de la calidad y el mejoramiento continuo, estar haciendo los ajustes y consideraciones basadas en la actualización e innovación vinculando la reingeniería de procesos en alimentos, brindando un producto inocuo y nutritivo para los neonatos de la capital musical de Colombia, impactando desde la universidad positivamente los indicadores de gestión social y el bienestar comunitario del departamento del Tolima.
Pseudomyxoma peritonei induced by a well-differentiated appendicular mucinous adenocarcinoma: An uncommon cause of isolated ascites in a young man patient
Authors: Randramifidy Nitah , Ranaivoson Mirana , Ramiandrasoa Andriamampihantona , Razafindrazoto Chantelli , Ranaivomanana Volahasina , Laingonirina Domoina Hasina , Rakotomaharo Mialitiana , Rakotoniaina Henintsoa , Randriniaina Antsa , Rasolonjatovo Anjaramalala , Rakotozafindrabe Andry , Rabenjanahary Tovo , Razafimahefa Soloniaina , Rafaramino Florine , Ramanampamonjy Rado
Published: June 2022

Pseudomyxoma peritonei (PMP) remains difficult to diagnose and has a
guarded prognosis. Pseudomyxoma peritonei is a rare entity, of
appendicular origin in the majority of cases. Its clinical
symptomatology is not specific, the diagnosis is evoked by imaging and
surgery, and confirmed by histology.
A novel and effective two-stage cultivation strategy for enhanced lutein production with Chlorella sorokiniana
Authors: Chen Jih-Heng , Nagarajan Dillirani , Huang Yun , Zhu Xun , Liao Qiang , Chang Jo-Shu
Published: June 2022

Microalgae are currently being recognized as a sustainable resource for
valuable products such as pigments for their superior antioxidant
activities. Chlorella sorokiniana MB-1- M12 is a lutein-rich mutant
capable of growth and lutein production in photoautotrophic,
mixotrophic, heterotrophic, and photoheterotrophic metabolism. Despite
the capacity of heterotrophic growth, light and CO2 were found to be
critical for lutein accumulation in MB-1- M12. Thus, an innovative
two-stage heterotrophic-mixotrophic process (TSHM) performed under
optimal conditions brought about 10 g/L biomass and 7.42 mg/g lutein.
Integration of fed-batch and semi-batch operational strategies and
scale-up in a 5L bioreactor increased biomass production, lutein
content, and lutein production to reach 20 g/L, 8.71 mg/g, and 181.11
mg/L, respectively. This work demonstrated that integration of the TSHM
process with appropriate operational strategies (i.e., integrated
fed-batch and semi-batch operation) could enhance the lutein
accumulation in MB-1-M12, making it apt for marketable lutein
production.
Repeat Cardioneuroablation for Recurrent Syncope
Authors: Thurber Clinton , Steiger Nathaniel , Sneider Davis R. , Kapur Sunil
Published: June 2022

Introduction: Some patients suffer recurrent syncope following
cardioneuroablation (CNA) for vasovagal syncope (VVS), yet no cases of
repeat CNA have been described in detail. Methods and Results: Our
present patient suffered a recurrence seven months following successful
CNA and wished for a repeat CNA. Pre-procedurally, she lacked an
atropine response. During CNA, high-frequency stimulation (HFS) at
ganglionated plexi (GP) would not trigger cardioinhibitory events.
Ablation was delivered based on anatomy and fractionation mapping,
producing characteristic tachycardia at 2 GP sites. Conclusion: Repeat
CNA is feasible and safe, and characterized by unique physiology.
Inhaled iloprost is an effective alternative therapy for persistent pulmonary hypertension of the newborn
Authors: Yildirim Sukran
Published: June 2022

Purpose: Persistent pulmonary hypertension of the newborn
(PPHN) is a disease with potential serious morbidity and mortality.
Inhaled iloprost, a stable analogue of prostacyclin, has recently been
used as a therapeutic option. However, there are no clinical guidelines
on the use of iloprost, specifically for neonates. This study aimed to
suggest the use of inhaled iloprost as a rescue therapy for PPHN based
on our experience. Methods: This was a retrospective study. The
data from medical records of 6 newborns (4 late preterm, 2 term),
diagnosed as persistent pulmonary hypertension of the newborn and had
received inhaled iloprost from December 2019 to November 2021 were
collected. Demographic and clinical features, changes in PaO
, FiO , oxygenization index,
echocardiographic findings and mortality were evaluated.
Results: The inhalation dose was 2 mcg/dose, and 1-48
inhalations per day were applied over 4-9 days. Inhaled iloprost was as
effective as iNO in all the patients. No side effects attributable to
inhaled iloprost and no mortality was recorded. Conclusion: Our
experience suggests that inhaled iloprost can be used as a first­-line
therapy in newborn infants with PPHN when inhaled nitric oxide is not
available.
Improved Survival in Patients with Atrial Fibrillation and Heart Failure Undergoing Catheter Ablation Compared to Medical Treatment: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Romero Jorge , Gabr Mohamed , Alviz Isabella , Briceno David , Diaz Juan Carlos , Rodriguez Daniel , Patel Kavisha , Polanco Dalvert , Trivedi Chintan , Mohanty Sanghamitra , Rocca Domenico Della , Lakkireddy Dhanunjaya , Natale Andrea , Biase Luigi Di
Published: June 2022

Introduction: Increasing evidence has suggested improved
outcomes in atrial fibrillation (AF) patients with heart failure (HF)
undergoing catheter ablation (CA) as compared to medical therapy. We
sought to investigate the benefit of CA on outcomes of patients with AF
and HF as compared to medical therapy. Methods and Results: A
systematic review of PubMed, Embase, and Cochrane Central Register of
Clinical Trials was performed for clinical studies evaluating the
benefit of CA for patients with AF and HF. Primary endpoint was
all-cause mortality. Secondary endpoints included atrial-arrhythmia
recurrence and improvement in left ventricular ejection fraction (LVEF).
Eight randomized controlled trials were included with a total of 2121
patients (mean age: 65 ± 5 years; 72% male). Mean follow-up duration
was 32.9 ± 14.5 months. All-cause mortality in patients who underwent CA
was significantly lower than in the medical treatment group (8.8% vs.
13.5%, RR 0.65, 95% CI 0.51-0.83, P=0.0005). A 35% relative risk
reduction and 4.7% absolute risk reduction in all-cause mortality was
observed with CA. Rates of atrial-arrhythmia recurrence were
significantly lower in the CA group (39.9% vs 69.6%, RR 0.55, 95% CI
0.40-0.76, P=0.0003). Improvement in LVEF was significantly higher in
patients undergoing CA (+9.4 ±7.6%) as compared to conventional
treatment (+3.3±8%) (Mean difference 6.2, 95% CI 3.6-8.8,
P<0.00001). Conclusion: CA for AF in patients with HF
decreases all-cause mortality, improves atrial-arrhythmia recurrence
rate and LVEF when compared to medical management. CA should be
considered the treatment of choice to improve survival in this select
group of patients.
A supply and temperature fluctuation compensation technique for dynamic residual amplifier
Authors: wei xueming , Yin Renchuan
Published: June 2022

A supply and temperature fluctuation compensation technique is proposed
to solve the gain fluctuation of the residual voltage dynamic amplifier
used in pipeline analog-to-digital converter (ADC). Combining slave
amplifier with the positive temperature coefficient (PTAT) voltage
generation circuit, the gain of the amplifier under different
temperature is calibrated adaptively without any complex hardware. At
the same time, PTAT can also compensate the fluctuation voltage of power
supply then the voltage gain of the amplifier is kept. The design is
simulated with 40nm process, the voltage gain variation is less than
1.9% in -40℃~80℃ and 1.4% at the supply voltage range
of 1.05V to 1.15V.
Deferred Tax Asset Valuation Allowances and Auditors’ Going Concern Evaluations
Authors: Bakke Ashleigh , Kubick Thomas R. , Wilkins Michael S.
Published: June 2022

The valuation allowance for deferred tax assets is an audited disclosure that reflects management’s expectations regarding the future profitability of a company. Building on prior literature that establishes this disclosure as an indicator of future distress, we examine whether the valuation allowance is associated with auditors’ going concern evaluations. We find evidence that the existence and magnitude of the valuation allowance, as well as changes in the allowance, are positively associated with the likelihood that a company receives a first-time going concern opinion. We also find some evidence that valuation allowances are associated with reduced Type I and Type II going concern opinion misclassifications. Our results suggest that the information related to management’s plans and expectations that is reflected in the valuation allowance is incrementally relevant to auditors in their assessment of a company’s likelihood of failure.

Data Availability: Data are available from the public sources cited in the text.
Understanding the Business Relevance of ESG Issues
Authors: Serafeim George , Yoon Aaron S.
Published: June 2022

There is a growing interest to understand the business relevance of ESG issues, especially those related to the firm performance. We propose a framework to better understand the relationship between true and observed materiality and outline the associated measurement errors, which reflect the complex, nuanced and time evolving nature of the underlying construct as well as the ESG data. Our framework calls for researchers to consider the different types of measurement errors with care, because the choices made could exacerbate or mitigate the relationship between true and observed materiality. Overall, our framework has implications to the emerging stream of literature that assesses the business relevance of ESG issues.
Local Identity Transformations Reflected Through the Development of Mercheașa / Mirkvásár / Streitfort,Transylvania, Romania.
Authors: MAROŞI Zoltan
Published: June 2022

In the last three decades the Transylvanian villages faced a slow, but constant decline in many aspects. One of the many villages in this situation is Mercheașa (known as Mirkvásár in Hungarian, or Streitfort in German), part of Homorod (Hamruden) Commune, Brașov County, Transylvania. The aging and numerically reduced population of the village, occupied exclusively in agriculture, in parallel with an inefficient local administration, induced the impoverishment of a once flourishing and prosperous village. This long decay is now clearly reflected by the degradation of the buildings, abandoned historical built heritage, desolate landscape, lack of consensus or a minimum order that would reflect any kind of management. Based on an extensive field research and cooperation with a local non-governmental organisation dedicated to sustainability, culture and education, this paper shows how the actions initiated from outside the community have managed to change the mentality of the inhabitants, who are now more open to culture, improvements and even variety. Following a mixed, interdisciplinary methodology, involving both local history and social investigation, methods, approached from a geographical perspective, this article answers several questions, including the most, important: How did the locals react to these projects? and Does sustainable development depend primarily on, community involvement and consensus? The results show an assessment of the current situation, an analysis of the elements that can become a local brand, and the initiated projects by the organisation, the results, and their impact onthe villagers’ attitudes towards development. This paper also includes an extensive evaluation of the local landmark, the fortified church, including a bird’s eye (perspective) drawing of the site.
Assessing the Role of Information and Communication Technology on Business Growth in Sumatera Island, Indonesia
Authors: Harsanto Budi
Published: June 2022

Teknologi informasi dan komunikasi (TIK) telah menjadi bagian tak terpisahkan dari kehidupan sehari-hari, termasuk dalam bisnis. TIK adalah teknologi yang digunakan untuk menganalisis, menyimpan, dan menyebarkan informasi, serta mendorong operasi yang saling terkait dan efisien guna mendukung kinerja bisnis yang lebih baik. Penelitian ini bertujuan untuk menguji perbedaan pertumbuhan bisnis antara perusahaan yang menggunakan dan tidak menggunakan teknologi informasi dan komunikasi (TIK). Penelitian dilakukan di Pulau Sumatera, Indonesia. Sumatera dipilih karena meskipun merupakan penyumbang ekonomi terbesar kedua bagi Indonesia setelah Jawa, namun indeks perkembangan TIK-nya rendah dibandingkan dengan wilayah lain. Studi ini memanfaatkan gelombang data publik terbaru dari Survei Perusahaan Bank Dunia untuk Indonesia. Enterprise Survey mensurvei 194 perusahaan di dua provinsi: Provinsi Sumatera Utara dan Provinsi Lampung. Chi-square dan Mann-Whitney U Test digunakan untuk menganalisis data. Berdasarkan hasil temuan, TIK lebih umum digunakan di perusahaan besar, sementara lebih jarang digunakan di UKM. Pertumbuhan bisnis perusahaan yang menggunakan dan tidak menggunakan media email berbeda secara signifikan, sedangkan perbedaan dalam pemanfaatan situs web tidak signifikan. Perbedaan kecil dalam penggunaan situs web dapat dikaitkan dengan semakin populernya perantara dalam platform e-niaga yang inovatif.
Improving the Performance of Hospital Employees Reviewed from the Perspective of Organizational Culture, Organizational Citizenship Behavior, and Organizational Commitment
Authors: Ningsih Luh Kartika , Prastiwi Ni Luh Putu Eka Yudi
Published: June 2022

Penelitian ini bertujuan untuk mengeksplorasi implikasi lingkungan organisasi, perilaku kewarganegaraan organisasi (OCB), dan komitmen organisasi terhadap Kinerja Karyawan. Penelitian menggunakan pendekatan kuantitatif, jumlah sampel yang digunakan dalam penelitian sebanyak 58 karyawan. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah dalam bentuk angket. Teknik analisis data yang digunakan dalam penelitian ini adalah structural equation modeling (SEM) berbasis varians atau SEM berbasis komponen, yang biasa disebut Partial Least Square (PLS). Terdapat 5 hubungan yang diteliti pengaruh Budaya Organisasi terhadap OCB (14,060 > 1960), Pengaruh OCB terhadap Kinerja Karyawan (2.213 > 1.960), Pengaruh Budaya Organisasi terhadap Komitmen Organisasi (12.516 > 1.960), pengaruh komitmen organisasi terhadap kinerja karyawan (3.783 > 1.960), pengaruh budaya organisasi terhadap kinerja karyawan (19.293 > 1.960). Semua hubungan yang diteliti menunjukkan hasil yang positif dan signifikan, menurut t-statistik > t-tabel (1,960). Dari hasil penelitian ini dapat diketahui bahwa kinerja pegawai dapat tercapai apabila kondisi pegawai berada pada situasi yang optimal. Baik kondisi individu karyawan itu sendiri, hubungan dengan rekan kerja, lingkungan kerja atau hubungan antar divisi yang terjalin selama proses kerja.
Developing a population data science approach to assess increased risk of COVID-19 associated with attending large events
Authors: Drakesmith Mark , Hobson Gemma , John Gareth , Stegall Emily , Gould Ashley , Parkinson John , Thomas Daniel Rhys
Published: June 2022

IntroductionIn summer 2021, as rates of COVID-19 decreased and social restrictions were relaxed, live entertainment and sporting events were resumed. In order to inform policy on the safe re-introduction of spectator events, a number of test events were organised in Wales, ranging in setting, size and audience.
ObjectivesTo design and test a method to assess whether test events were associated with an increase in risk of confirmed COVID-19, in order to inform policy.
MethodsWe designed a cohort study with fixed follow-up time and measured relative risk of confirmed COVID-19 in those attending two large sporting events. First, we linked ticketing information to individual records on the Welsh Demographic Service (WDS), a register of all people living in Wales and registered with a GP, and identified NHS numbers for attendees. Where NHS numbers were not found we used combinations of other identifiers such as email, name, postcode and/or mobile number. We then linked attendees to routine SARS-CoV-2 test data to calculate positivity rates in people attending each event for the period one to fourteen days following the event. We selected a comparison cohort from WDS for each event, individually matched by age band, gender and locality of residence. As many people attended events in family groups we explored the possibility of also matching on household clusters within the comparison group. Risk ratios were then computed for the two events.
ResultsWe successfully assigned NHS numbers to 91% and 84% of people attending the two events respectively. Other identifiers were available for the remainder. Only a small number of attendees (<10) had a record of confirmed COVID-19 following attendance at each event (14 day cumulative incidence: 36 and 26 per 100,000, respectively). There was no evidence of significantly increased risk of COVID-19 at either event. However, the event that didn't include pre-event testing in their mitigations, had a higher risk ratio (3.0 compared to 0.3).
ConclusionsWe demonstrate the potential for using population data science methods to inform policy. We conclude that, at that point in the epidemic, and with the mitigations that were in place, attending large outdoor sporting events did not significantly increase risk of COVID-19. However, these analyses were carried out between epidemic waves when background incidence and testing rate was low, and need to be repeated during periods of greater transmission. Having a mechanism to identify attendees at events is necessary to calculate risk and feasibility and acceptability of data sharing should be considered.
PENINGKATAN KESEHATAN MASYARAKAT MELALUI PEMBERDAYAAN IBU-IBU PKK DENGAN SOSIALISASI DAN PENANAMAN TOGA (TANAMAN OBAT KELUARGA) DI KELURAHAN JELITIK
Authors: Kuncoro Sapto , Auliyah Afna Ditha , Amanda Ari , Efrilia Dheti , Adelia Dinda , Putra Febrino , Ramdini Novia , Putra Fajar Sang
Published: June 2022

Tanaman Obat Keluarga (TOGA) memiliki beragam manfaat bagi masyarakat. Pemanfaatan TOGA menjadi obat tradisional akan membantu meningkatkan imunitas tubuh dan mencegah berbagai penyakit. Selain itu, TOGA juga dapat dikembangkan menjadi produk yang memiliki nilai ekonomis untuk meningkatkan pendapatan masyarakat sekitar. Sosialisasi terkait pemanfaatan dan praktik penanaman TOGA bersama ibu-ibu PKK dapat dijadikan sebagai edukasi bagi masyarakat dalam hal pengelolaan tanaman obat di pekarangan rumah. Metode yang digunakan dalam sosialisasi ini meliputi ceramah, diskusi, dan demonstrasi yang diikuti oleh 15 orang masyarakat dan ibu PKK. Hasil sosialisasi mengenai TOGA ini menunjukkan peningkatan pengetahuan masyarakat akan pentingnya tanaman obat sebagai upaya dalam meningkatkan kesehatan dan pendapatan dalam keluarga.
Design of Measurement of Water Content with Capacity Method to Determine Old Categories to Save Tapioca Flour
Authors: Hidayatullah Syarifuddin Aprian , Suciyati Sri Wahyu , Pauzi Gurum Ahmad , Surtono Arif
Published: June 2022

In this study, water content measurements were carried out using a physical method using a capacitive sensor. Measurement with these two methods aims to get the most efficient method for tapioca flour's water content value. The samples used were six samples of tapioca flour from the way good factory. Each sample was measured using a thermogravimetric method and a capacitive sensor measuring instrument three times per sample. The measurement results produce a polynomial graph with a coefficient of determination of 0.9702. The graph shows that the higher the water content, the higher the value detected by the capacitive sensor. The thermogravimetric method used as a reference takes 6 hours to get results, and the physical method takes less than one minute. To compare measurements, measurements were made using the thermogravimetric method to measure the percentage of water content in tapioca flour. This study indicates that the physical measurement method with a capacitive sensor instrument requires a shorter time than the thermogravimetric method. And the higher the water content, the shorter the storage time.