bluuebunny/crossref_metadata_2025 huggingface dataset:
Determination of reasonable parameters for skew bridge under different skew angles
Authors: Yin Weitao , Wang Kehai , Guo Weizuo
Published: February 2023

A finite element model is created using OpenSees software to perform a time history analysis in order to analyze the seismic response law of a skew bridge and the damage volume of its key components, using a typical 3×20 m skew continuous girder bridge as an example. The seismic response of the skew continuous girder bridge under various factors such as the size of the abutment expansion joint, shear key gap, and shear key strength is studied then the damage rate is assessed for the bearing, shear key, and pier. The research results show that under the action of earthquake ground motion with 0.3 g PGA, the seismic force transmitted to the pier is small, and the pier is elastic owing to the sliding of the bearing, but the damage degree of the shear key is larger than that of the bearing and pier. The impact increases the rotation effect of the main beam in the direction of off acute angle, resulting in a greater damage to the shear key at the acute angle than that at the obtuse angle. The damage of bearing and shear key increases and then decreases with the increasing of expansion joint, and the larger the skew angle is, the smaller the expansion joint will be corresponding to the maximum displacement of bearing and shear key. With the increase of the shear key gap, the deformation limitation effect of the shear key on the main beam decreases significantly, resulting in a linear increase in the bearing slip, which increases the risk of the main beam subsidence. With the increase of the shear key strength, the bearing and shear key damage decreases greatly at first, and then increases slightly. However, the pier damage increases obviously. In an area with a high risk of earthquake, it is recommended that the shear key can be a “fuse element”. For any oblique angle, the shear key gap can be reduced to 2 cm, and the shear key strength can be increased to 125 % or 150 %. When the skew angle is between 30 and 60, the expansion joint size can be increased to 12 cm or 16 cm.
Response characteristics of soil moisture to rainfall for a single grass type in an urban area
Authors: Huang Jinbai , Wen Jiawei , Luo Diwen , Zhu Chaofan
Published: February 2023

Urbanization significantly impacts hydrological processes and the water environment in the urban area. Studies on soil moisture are necessary to explore the hydrological characteristics against the background of urbanization. A regional grassland with Bermudagrass in Yangzhou City, China, was adopted as the study area. An analysis of its response characteristics to rainfall infiltration was carried out for different rainfall events. The Penman–Monteith equation was used to estimate the hourly evapotranspiration (ET) of the soil layers at depths of 0–30 cm and 0–10 cm. The results indicate that the response time of the soil water content in the root layer (0–10 cm) decreases with the decrease of the soil water content in the topsoil. The rate of the increase of the soil water content increases as the rainfall intensity increases in the state of unsaturation. The soil water in the root layer provided more than 70% of the total ET. The Nash efficiency coefficient of the simulation results of the soil water content at different depths obtained using the Hydrus-1D model was more than 0.75. The rationality of the results for the different rainfall events and the infiltration depth were verified via numerical simulations using the Hydrus-1D model.
Linking poverty with water and sanitation in targeting households for achieving sustainable development
Authors: Celeste Novlloyd E.
Published: February 2023

The study determined the association of access to safe water and the type of toilet facilities versus household characteristics in the Philippines. Data from the Department of Science and Technology Food and Nutrition Research Institute consisting of 39,771 respondents were included in the analysis. Cramer's V was used as a statistical tool to determine the association of toilet facility versus the access to safe water, water source, and whether the toilet is shared or not. Additionally, multinomial logistic regression was used to predict the type of toilet facility with other household characteristics. Meanwhile, a Classification and Regression Tree was used to classify the type of toilet facilities based on access to safe water, water sources and a wealth quintile. Statistically, the result showed that there is a high association among the variables mentioned. The study concludes that access to sanitation such as the type of toilet facility per household, is highly associated with water sources and access to safe water. Furthermore, there is a need to provide means of access to sanitation among the poorest households. To reduce the inequalities in these services, the decision rule presented in this study can be a guiding principle in providing such intervention.
Deep learning algorithms were used to generate photovoltaic renewable energy in saline water analysis via an oxidation process
Authors: Anupong Wongchai , Mehbodniya Abolfazl , L. Webber Julian , Bostani Ali , Dhiman Gaurav , Singh Bharat , A. R. Murali Dharan
Published: February 2023

The amount of particles and organic matter in wash-waters and effluent from the processing of fruits and vegetables determines whether they need to be treated to fulfil regulatory standards for their intended use. This research proposes a novel technique in photovoltaic cell-based renewable energy in saline water analysis using the oxidation process and deep learning techniques. Here, the saline water oxidation is carried out based on photovoltaic cell-based renewable and saline water analysis is carried out using Markov fuzzy-based Q-radial function neural networks (MFQRFNN). The plan is entirely web-oriented to enable better control and effective monitoring of water consumption. This monitoring makes use of a communication system that collects data in the form of irregularly spaced time series. Experimental analysis has been carried out based on water salinity data in terms of accuracy, precision, recall, specificity, computational cost, and kappa coefficient.
Gabriel’s plot of 1800: the story of the failed uprising
Authors: Shumakov Andrey A.
Published: February 2023

This article analyzes one of the most significant, yet understudied events in African-American history. The Virginia Conspiracy or the Gabriel Conspiracy of 1800 is considered the most famous case of organizing a mass armed uprising of slaves in the United States. Inspired by the ideas and examples of the American, Great French and Haitian revolutions, black slaves tried not just to raise an uprising and achieve liberation, but actually challenged the slave-owning orders of the entire white South. The scale and geography of the conspiracy leave no doubt that it originally implied a mass armed demonstration, which was to begin simultaneously in several cities of Virginia and spread to neighboring states. The purpose of this study is to analyze and restore the chronicle of the main events related to the Virginia Conspiracy of 1800. The materials of the trial and some periodicals act as a source base, while the author also relies on the research of leading American experts on this topic. The main objectives of the study include: to consider the background of the conspiracy and some issues of Gabriel’s early biography and to study the process of preparing a speech and the immediate implementation of the plan. The article also analyzes the consequences of the events of 1800 for the legislation of Virginia and the entire white South. The main methods are historical-descriptive and comparative-historical, allowing to draw the necessary parallels with similar historical phenomena, such as the Virginia Uprising led by Nat Turner in 1831. The conclusion shows that the slave conspiracy of 1800 was planned in the most careful way, while the reason for its failure was a combination of purely subjective factors. Simultaneously, Gabriel’s failed rebellion demonstrated the vulnerability of the White South in the face of slave uprisings, as well as the high degree of self-organization of the Black community and the beginning of the formation of an African-American identity.
Lexical representations of sensory images in Osip Mandelstam’s lyrics
Authors: Razumkova Nadezhda V.
Published: February 2023

This article is dedicated to the 100th anniversary of the publication of Osip Mandelstam’ “Tristia”. The relevance of this research lies in the anthropological vector of contemporary linguistics, which focuses its attention on the studies of authorial linguistic personality within their world-image. The anthropocentricity of Mandelstam’s poetry can be seen in his active use of lexemes with the semantics of visual, auditory, olfactory, gustatory, and tactile sensations. This article aims to study the structural and semantic content of sensory images in Mandelstam’s poetry. The objectives include estimating the influence of the text’s genre on author’s representation of sensations and experiences. The theoretical part discusses the methodological foundations of the study and highlights the factors influencing the interpretation of creative works. In the practical part, the author describes the methods of lexicalization of the complex of sensory images, connected by an ideological and semantic commonality with the category of emotivism. The sphere of artistic perception is illustrated by quotations from poems. The conclusion presents the results of a contextual analysis of different types of sensations embodied in verbal data. The study of the composition and structure of text units is based on such parameters as the way of perception (sight, hearing, touch, smell, taste), the principle of describing the lyrical situation (direct — figurative), and the principle of relating to different spheres of life (physi­cal, mental, social). The conclusions are the following: 1) in the analyzed material, semantic relations in the field of perception are closely connected with the idea of gravity; 2) lexical means of expressing sensory impressions have a metaphorical and metonymic motivation; 3) sensory complexes are formed at the intersection of visual, acoustic, tactile, olfactory, gustatory images (the listing corresponds to the descending order of word usage); 4) synthetic combination of individual aspects of sensory perception is carried out in various forms (agglutination, amplification, word typing); 5) repeating the Ovid’s genre experiment, Mandelstam created an ori­ginal literary and historical metaphor, through which he told, with his characteristic creative courage, about his time and about himself, using the impressive possibilities of the language as a means of poetic thought.
Health-Related Quality of Life and Associated Factors Among Patients
With Knee Osteoarthritis
Authors: Tekaya Aicha Ben , Bouzid Syrine , Kharrat Lobna , Rouached Leila , Galelou Jihene , Bouden Selma , Tekaya Rawdha , Saidane Olfa , Mahmoud Ines , Abdelmoula Leila
Published: February 2023

Background:

Knee osteoarthritis, a chronic degenerative disease, is becoming a public health problem around the world due to increasing life expectancy.

Objectives:

We aimed to assess the impact of knee osteoarthritis on the quality of life (QoL) of the patients and to identify factors associated with impaired QoL.

Materials and Methods:

We conducted a cross-sectional monocentric study including patients with knee osteoarthritis. The pain was evaluated by the Visual Analog Scale (VAS). The short form of the Knee injury and Osteoarthritis Outcome Score (KOOS-PS) was used to assess functional im-pact. QoL was assessed using the OsteoArthritis of Knee Hip Quality Of Life (OAKHQOL) ques-tionnaire.

Results:

Fifty patients were included. The mean age of patients was 59 ± 9 years. The sex ratio was 0.25. At least one comorbidity was noted in 77% of patients. The mean disease duration was 8.82 years. Mean VAS pain and KOOS-PS were 6.8 ± 1.1 and 54.7 ± 9.6/100; respectively. Assessment of the QoL by OAKHQOL showed impaired QoL in all domains; the worst scores concerned the areas of social functioning and pain. Factors associated with an altered QoL were age > 65 years, longer disease duration, higher pain intensity, comorbidities, and functional impairment.

Conclusion:

Our patients showed an impaired QoL in all domains, particularly in terms of physical activity and social functioning. Lower QoL scores were associated with age, comorbidities, pain, function, and disease duration. Factors associated with QoL should be considered in the manage-ment program of these patients. Screening and the treatment of comorbidities are also useful for the management of knee OA.
Estimating the Burden of Disability From Road Traffic Injuries in 5 Low- and Middle-Income Countries: Protocol for a Prospective Observational Study
Authors: Khalaf Mohammad K , Rosen Heather E , Mitra Sudeshna , Neki Kazuyuki , Mbugua Leah Watetu , Hyder Adnan A , Paichadze Nino
Published: February 2023

Background

Road traffic injuries (RTIs) are a leading cause of death and unintentional injuries globally. They claim 1.35 million lives and produce up to 50 million injuries each year, causing a major drain on health systems. Despite this high burden, there is a lack of robust data on the long-term consequences of RTIs, specifically the level of disability experienced by many survivors and its impact on their everyday lives.

Objective

This study aims to characterize RTIs, disability level, and related consequences affecting adult road traffic crash survivors in 5 low- and middle-income countries (LMICs). In addition, this study estimates the role of demographic and crash- and treatment-related factors in predicting adverse outcomes and disability as well as examining the disability level among patients with RTIs, likelihood of return to normal life, and the environmental factors that may influence these outcomes after discharge from the hospital.

Methods

This prospective observational study was conducted at selected hospitals in Bangladesh, Cambodia, Ethiopia, Mexico, and Zambia. The study sample included all adult patients with RTIs admitted to the hospital for at least 24 hours. Consecutive sampling was performed until the minimum required sample size of 400 was reached for each participating country. Data were collected from patients or their caregivers using a hospital-based surveillance tool administered at the participating sites as well as a telephone-based follow-up instrument administered 1, 3, and 6 months after discharge. Descriptive analysis and multivariate models will be used to estimate the contribution of a range of factors in predicting adverse outcomes, disability, and return to normal life.

Results

Enrollment began in June 2021 and was completed in April 2022. Follow-up data collection ended in September 2022. Data analysis is currently underway, with results expected for publication in mid-2023. Expected results include estimates of disability among patients with RTIs as well as identifying the predictors of adverse outcomes, disability, and the likelihood of return to normal life.

Conclusions

Research findings will help better understand the long-term burden of disability from RTIs in the 5 LMICs and the challenges facing survivors of road traffic crashes. They will be used to inform interventions aimed at improving the health care, social, physical, and policy conditions in LMICs that can facilitate recovery and rehabilitation for patients with RTIs, reduce the burden of disability, and enhance their participation in society.

International Registered Report Identifier (IRRID)

DERR1-10.2196/40985
Impact of the COVID-19 Pandemic on Health, Well-being, and Quality of Work-Life Outcomes Among Direct Care Nursing Staff Working in Nursing Home Settings: Protocol for a Systematic Review (Preprint)
Authors: Thorne Trina , Duan Yinfei , Slubik Sydney , Estabrooks Carole A
Published: February 2023

BACKGROUND

Increased workload, lack of resources, fear of infection, and the suffering and loss of residents have placed a significant emotional burden on regulated and unregulated direct care nursing staff (eg, registered nurses, licensed practical nurses, and care aides) in nursing homes (residential long-term care homes). Psychological distress and burnout related to COVID-19 have been cited among direct care staff within nursing homes. Studies have also emphasized the resilience of direct care staff, who, despite the significant challenges created by the pandemic, remained committed to providing quality care. To date, only one nursing home–specific review has synthesized evidence from 15 studies conducted early in the pandemic, which reported anxiety, posttraumatic stress disorder, and depression among direct care staff.

OBJECTIVE

The objectives of this systematic review are to (1) synthesize all empirical evidence on the impact of the COVID-19 pandemic on direct care staffs’ mental health, physical health, and work-life outcomes; (2) identify specific risks and protective factors; and (3) examine the effect of strategies or interventions that have been developed to improve these outcomes.

METHODS

We will include all study designs reporting objective or subjective measurements of direct care staffs’ mental health, physical health, and quality of work-life in nursing home settings during the COVID-19 pandemic (January 2020 onward). We will search multiple databases (MEDLINE, CINAHL, Embase, Scopus, and PsycINFO) and gray literature sources with no language restrictions. Two authors will independently screen, assess data quality, and extract data for synthesis. Given the heterogeneity in research designs, we will use multiple data synthesis methods that are suitable for quantitative and qualitative studies.

RESULTS

As of December 2022, full text screening has been completed and data extraction is underway. The expected completion date is June 30, 2023.

CONCLUSIONS

This systematic review will uncover gaps in current knowledge, increase our understanding of the disparate findings to date, identify risks and factors that protect against the sustained effects of the pandemic, and elucidate the feasibility and effects of interventions to support the mental health, physical health, and quality of work-life of frontline nursing staff. This study will inform future research exploring how the health care system can be more proactive in improving quality of work-life and supporting the health and psychological needs of frontline staff amid extreme stressors such as the pandemic and within the wider context of prepandemic conditions.

CLINICALTRIAL

PROSPERO CRD42021248420; https://tinyurl.com/4djk7rpm

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/40390
Offering Out-World Experiences to Dementia In-patients through Virtual Reality. (Preprint)
Authors: Matsangidou Maria , Solomou Theodoros , Frangoudes Fotos , Papayianni Ersi , S. Pattichis Constantinos
Published: February 2023

BACKGROUND

Research suggested that institutionalization can increase the behavioural and psychological symptoms of dementia. To date, recent studies have reported a growing number of successful deployments of VR for PwD to alleviate BPSD and improve their HRQoL. However, VR has yet to be rigorously evaluated since the findings are still in their infancy, with non-statistically significant and inconclusive results.

OBJECTIVE

Unlike prior works and overcoming a limitation of the current literature, the system was co-designed with people with dementia and experts in dementia care and was evaluated with a larger population ranging from mild to severe cases of dementia.

METHODS

Working with 44 dementia patients and 51 medical experts, we co-designed a Virtual Reality system to enhance the symptom management of dementia patients residing in long-term care. We evaluated the system with 16 medical experts and 20 people with dementia.

RESULTS

This paper explains the screening process and analysis we run to identify which environments patients would like to receive as an intervention. We also present the system’s evaluation results by discussing in depth their impact. According to our findings, Virtual Reality contributes significantly to an improved quality of life for people with dementia, as it can be very effective in the reduction of behavioural and psychological symptoms of dementia, especially for aggressive, agitated, anxious, apathetic, depressive, and fearful behaviours.

CONCLUSIONS

Ultimately, we hope that the results from this study will offer insight into how Virtual Reality technology can be designed, deployed, and used in dementia care.

CLINICALTRIAL

Name and URL of the Registry: Cyprus National Bioethics Committee - http://www.bioethics.gov.cy/moh/cnbc/cnbc.nsf/index_en/index_en?OpenDocument
Number of Approval: ΕΕΒΚ/ΕP/2022/56
Co-design of a Mobile App for Engaging Breast Cancer Patients in Reporting Health Experiences: Qualitative Case Study (Preprint)
Authors: Taramasco Carla , Rimassa Carla , Noël René , Bravo Storm María Loreto , Sánchez César
Published: February 2023

BACKGROUND

The World Health Organization recommends incorporating patient-reported experience measures and patient-reported outcome measures to ensure care processes. New technologies, such as mobile apps, could help report and monitor patients’ adverse effects and doubts during treatment. However, engaging patients in the daily use of mobile apps is a challenge that must be addressed in accordance with the needs of people.

OBJECTIVE

We present a qualitative case study documenting the process of identifying the information needs of breast cancer patients and health care professionals during the treatment process in a Chilean cancer institution. The study aims to identify patients’ information requirements for integration into a mobile app that accompanies patients throughout their treatment while also providing features for reporting adverse symptoms.

METHODS

We conducted focus groups with breast cancer patients who were undergoing chemotherapy (n=3) or who completed chemotherapy between 3 months and 1 year (n=1). We also surveyed health care professionals (n=9) who were involved in patient care and who belonged to the oncology committee of the cancer center where the study took place. Content analysis was applied to the responses to categorize the information needs and the means to satisfy them. A user interface was designed according to the findings of the focus groups and was assessed by 3 trained information system and user interaction design experts from 2 countries, using heuristic evaluation guidelines for mobile apps.

RESULTS

Patients’ information needs were classified into 4 areas: an overview of the disease, information on treatment and day-to-day affairs, assistance on the normality and abnormality of symptoms during treatment, and symptoms relevant to report. Health care professionals required patients to be provided with information on the administrative and financial process. We noted that the active involvement of the following 4 main actors is required to satisfy the information needs: patients, caregivers, social network moderators, and health professionals. Seven usability guidelines were extracted from the heuristic evaluation recommendations.

CONCLUSIONS

A mobile app that seeks to accompany breast cancer patients to report symptoms requires the involvement of multiple participants to handle the reports and day-to-day information needs. User interfaces must be designed with consideration of the patient’s social conventions and the emotional load of the disease information.
DOES PROBLEM BASED LEARNING IMPROVE STUDENTS' SELF-DIRECTED LEARNING ABILITIES?
Authors: Sundari Sri , Rahmawati Fajmei Aisah
Published: February 2023

Background: Self-Directed Learning has recently been given much attention by educational institutions in Indonesia. The Problem Based Learning method requires students to be able to take the initiative to learn, analyse learning needs, formulate learning objectives, identify learning resources, select and implement learning strategies that suit themselves and be able to evaluate their own learning outcomes. Both Problem Based Learning and Non-Problem Based Learning methods are required to produce good Self-Directed Learning for their teaching participants. The purpose of this study is to find out the differences in Self Directed Learning in students who are taught using PBL and Non-PBL methods at the University of Muhammadiyah Yogyakarta.Methods: The research was non-experimental with an analytical observational research design using a cross sectional approach. The sampling technique was stratified random sampling with a total sample of 90 students. Self-Rating Scale for Self-Directedness in Learning (SRSSDL) by Fisher Instruments was used in this study. The data was analysed by using simple linear regression test.Results: The result showed that SRSSDL score (p = 0.035) and GPA score (p = 0.046). The results indicated that there was a difference between the SDL of PBL and Non-PBL students.Conclusion: There is a difference in the ability of SDL (self-directed learning) between the PBL and Non-PBL methods.
Early Experience with Modified Dose Nirmatrelvir/Ritonavir in Dialysis Patients with Coronavirus Disease 2019
Authors: Hiremath Swapnil , Blake Peter G. , Yeung Angie , McGuinty Michaeline , Thomas Doneal , Ip Jane , Brown Pierre Antoine , Pandes Michael , Burke Andrew , Sohail Qazi Zain , To Karen , Blackwell Lindsay , Oliver Matthew , Jain Arsh K. , Chagla Zain , Cooper Rebecca
Published: February 2023

Background

Nirmatrelvir/ritonavir was approved for use in high-risk outpatients with coronavirus disease 2019 (COVID-19). However, patients with severe CKD were excluded from the phase 3 trial, and the drug is not recommended for those with GFR <30 ml/min per 1.73 m2. On the basis of available pharmacological data, we developed a modified low-dose regimen of nirmatrelvir/ritonavir 300/100 mg on day 1, followed by 150/100 mg daily from day 2 to 5. In this study, we report our experience with this modified dose regimen in dialysis patients in the Canadian province of Ontario.

Methods

We included dialysis patients who developed COVID-19 and were treated with the modified dose nirmatrelvir/ritonavir regimen during a 60-day period between April 1 and May 31, 2022. Details of nirmatrelvir/ritonavir use and outcomes were captured manually, and demographic data were obtained from a provincial database. Data are presented with descriptive statistics. The principal outcomes we describe are 30-day hospitalization, 30-day mortality, and required medication changes with the modified dose regimen.

Results

A total of 134 dialysis patients with COVID-19 received nirmatrelvir/ritonavir during the period of study. Fifty-six percent were men, and the mean age was 64 years. Most common symptoms were cough and/or sore throat (60%). Medication interactions were common with calcium channel blockers, statins being the most frequent. Most patients (128, 96%) were able to complete the course of nirmatrelvir/ritonavir, and none of the patients who received nirmatrelvir/ritonavir died of COVID-19 in the 30 days of follow-up.

Conclusions

A modified dose of nirmatrelvir/ritonavir use was found to be safe and well tolerated, with no serious adverse events being observed in a small sample of maintenance dialysis patients.
Interactive Teaching Methodologies
Authors: Sachan Mansi
Published: February 2023

The meaning of education is changing day by day. Teaching and Learning process has been changing over the time, parents are now looking for quality and not quantity. In the traditional method of teaching the teacher was the sender and the students was the receiver. The teacher used to come in the class teach and leave. But as the world is evolving day by day, education system is changing too. Now, the teachers believe in interactive method more than the same old basic traditional method. The main purpose of the educational strategy has changed because now it is mainly focusing on turning students into informed, responsible being, who are well aware of the critical thinking facts and being who can be loyal toward their country. In order to motivate learning among students the teachers are trying different methods to keep their classes interactive because a student’s learns faster with the learning by doing method. Interactive method of teaching is one of the best method of teaching as through these communicative methods the students engage more, retain better information and learn faster.
The Influence of Transformational Leadership and Workload on the Performance of BMKG Technicians during the Covid-19 Pandemic: Comparison Between Generations X, Y, and Z
Authors: Dharmawan Gregorius Setyadhi Budhi , Nurhayati Mafizatun , WD Hendri Satria
Published: February 2023

The Covid-19 pandemic has an impact on all aspects of human life, including public organizations. An organization requires management related to efforts to achieve goals that depend on the performance of the individual organization in carrying out the assigned tasks. This study aims to examine the effect of transformational leadership and workload during the Covid-19 pandemic on the performance of the Meteorology, Climatology and Geophysics Agency (BMKG) technicians with an analysis focus on the comparison of generations X, Y, and Z. The population in this study were BMKG technicians who were scattered throughout in Indonesia by calculating the sample using the Slovin formula. The method used in this research is quantitative with instrument testing to determine the validity and reliability of the data, then classical assumption test, model accuracy test and hypothesis. The results of the study show that the data are normally distributed and valid, and transformational leadership has a positive effect with the largest value on Y generation, and workload has the largest positive effect on X generation.
Lean Tool dalam Meningkatkan Kinerja Dosen Perguruan Tinggi Swasta di Indonesia : Sebuah Kerangka Konseptual
Authors: Farida Farida , Saluy Ahmad Badawi , Kasmir Kasmir , Nawangsari Lenny Christina , Prabowo Herry Agung , Garingging Robin
Published: February 2023

AbstractExisting literature on lean reveals that there are still few theoretical models that discuss the implementation of lean tools in the service sector, especially higher education services, their relationship to building academic culture, and their effect on research performance of university lecturers. The aim of this paper is to address this gap by proposing a theoretical model developed from the Cadden (2020) model and operationalized to build academic culture and its relationship to the research performance of university lecturersAbstrakLiteratur yang ada tentang lean mengungkapkan masih sedikit model teoretis yang membahas penerepan lean tools di sektor jasa khususnya jasa pendidikan tinggi, keterkaitannya dalam membangun budaya akademik,  dan pengaruhnya terhadap kinerja penelitian dosen perguruan tinggi. Tujuan dari makalah ini adalah untuk mengatasi kesenjangan ini  dengan mengusulkan model teoritis  yang dikembangkan dari model Cadden (2020) dan dioperasionalkan untuk membangun budaya akademik dan keterkaitannya dengan kinerja penelitian dosen perguruan tinggi.
Chatbot Optimization using Sentiment Analysis and Timeline Navigation
Authors: Sodré Wagner da Silva Maciel , Duarte Julio Cesar
Published: February 2023

A chatbot or conversational agent is a software that can interact or ``chat'' with a human user using a natural language, like English, for instance. Since the first chatbot developed, many have been created but most of their problems still persist, like providing the right answer to the user and user acceptance itself. Considering such facts, in this work, we present a chatbot-building framework that considers the use of sentiment analysis and tree timelines to provide a better chatbot answer. For instance, as presented in our experiments, the user can be addressed to a human attendant when its sentiment is very negative, or even try another branch of the tree timeline, as an alternative answer, whenever the user sentiment is less negative.
Moisture content prediction model for pharmaceutical granules using machine learning techniques
Authors: Tekia Haftom Kahsay , Beshah Tibebe , Haileslassie Fisha , Gidey Kibrom
Published: February 2023

The aim of this study was to develop a prediction model and identifying
relative important factors in the evaluation of moisture content of
pharmaceutical granules using Artificial Neural Network (ANN) and
Support Vector Machine (SVM) techniques for the data sets of Addis
Pharmaceutical Factory (APF). Optimal models of ANN and SVM models were
developed and compared, utilizing Matlab16.0 as a software tool. The
performance of the models is evaluated using a quantitative error
metric; mean squared error (MSE), Regression(R) and Confusion Matrix
(CM). This study reveals that the ANN model is an optimal model for
predicting moisture content of pharmaceutical granules for the datasets
of APF. The model of ANN, with MSE of 0.016941 and classification
accuracy of 98.7% is built and accepted as optimal model for predicting
moisture content of pharmaceutical granules. Temperature, Mixer time,
Initial moisture, air flow rate and drying time respectively are the
most important factors in determining the moisture content of the
granules.
Transient Anosmia and dysgeusia in COVID-19 disease: a cross-sectional study
Authors: Ali Fatema , Jassim Ghufran , Khalaf Zahra , Yusuf Manaf , Hamza Sara , Husain Nada , Ebrahim Fatema
Published: February 2023

Objective: This study aims to explore the prevalence of anosmia and
dysgeusia and their impact on COVID-19 patients. Design: This is a
cross-sectional study. Patients diagnosed with COVID-19 between 1st
October 2020 and 30th June 2021 were randomly selected from a national
COVID-19 registry. The Anosmia Reporting Tool and a brief version of the
questionnaire on olfactory disorders were used to measure the outcomes
via telephone interviews. Data were analyzed using SPSS 27 statistics
software. Results: A total of 405 COVID-19 adults were included in this
study, 220 (54.3%) were males and 185 (45.8%) were females. The
mean±SD age of participants was 38.2 ± 11.3 years. Alterations in the
sense of smell and taste were reported by 206 (50.9%), and 195 (48.1%)
of the patients respectively. Sex and nationality of participants were
significantly associated with anosmia and dysgeusia (p<0.001)
and (p-value=0.001) respectively. Among patients who experienced anosmia
and dysgeusia, alterations in eating habits (64.2%), impact on mental
wellbeing (38.9%), concerns that the alterations were permanent
(35.4%), and physical implications and difficulty performing activities
of daily living (34% ) were reported. Conclusion: Anosmia and dysgeusia
are prevalent symptoms of COVID-19 disease, especially among females.
Neuropsychological implications of COVID-19 in the acute infection phase
and prognosis of anosmia and dysgeusia in COVID-19 are areas for further
exploration.
Why some doctors murder their patients due to subconsciously driven malpractice
Authors: Diamandis Dr. Carolina , Seideman David , Rocha Fabio , Pistorius Lucas , Papadakis Alexander , Levi Uri , Friedman Ariel , Lazar Marius , Gangnon Martin
Published: February 2023

The phenomenon of a doctor unknowingly killing a patient due to
sociopathic traits is a serious issue that has been reported in the
medical field. A sociopath is a person who has a personality disorder
characterized by a lack of empathy and remorse, and a tendency to
manipulate and exploit others. These traits can be difficult to detect,
and a doctor who is unaware of them may unknowingly harm patients. One
example of this phenomenon occurred in the case of Dr. Harold Shipman, a
British GP who was convicted of murdering 15 of his patients. It was
later discovered that he had a history of sociopathic behavior and had
been exploiting his position of trust as a doctor to kill his patients.
Another example is Dr. Michael Swango, an American physician who was
convicted of poisoning several of his patients. He too was found to have
sociopathic tendencies and had been using his position as a doctor to
harm others. It is important for medical professionals and institutions
to be aware of the possibility of sociopathic doctors and to have
systems in place to detect and prevent this type of behavior. This
includes thorough background checks, regular evaluations of doctors’
performance, and encouraging colleagues to report any suspicious
behavior. It is also important for the patients to be vigilant and to
report any unusual behavior by their doctors. Patients should also seek
a second opinion if they have any doubts about the diagnosis or
treatment they are receiving. The unimaginable but real danger of a
doctor unknowingly killing a patient due to his/her sociopathic traits
is a serious issue that can have devastating consequences. It is
important for medical professionals and institutions to be aware of this
possibility and to have systems in place to detect and prevent this type
of behavior.
Method for Effective Mosquito Data Classification to Identify Potential Hosts of Malaria with AI Implications
Authors: Caesar AJ , Gaines Walker , Gajendran Rahul , Ram Tejas , Lee Aaron , Nwosu Obumneme , Richter Angelina , Yang Dr. Di , Lam Bill , Meymarian Kellen , Kimura Matteo , Low Dr. Rusty , Soeffing Cassie
Published: February 2023

Most of Earth’s mosquito-borne illnesses are transmitted by mosquitoes
in one of three genera: Anopheles, Aedes, and Culex. Mosquitos of such
genera are located in all continents but Antarctica and infect millions
of humans with parasitic viruses yearly. However, a special concern is
reserved for Anopheles mosquitoes for their unique ability to carry and
transmit Malaria, a disease that, according to WHO, infects more than
200 million and kills over 500,000 humans annually (Malaria, 2022).
While it is most prevalent in Africa, Southeast Asia, and Central
America, Malaria could soon spread to northern and southern latitudes
with a changing global climate. Therefore, it is crucial to track the
extent of the Anopheles range and identify any changes that could have
detrimental consequences on public health. One way this can be done is
using the NASA GLOBE Observer Mosquito Habitat Mapper (MHM) tool, which
allows global users free access to photograph mosquito larvae, attempt
to identify their genus, and upload said images to a worldwide database
that records the location at which they were taken. While citizen
science data is extremely helpful for mosquito research, it can be
difficult for citizens with minimal training to classify the genus of
their discovered larva correctly. A large portion of mosquito photos
uploaded to the GLOBE MHM database are either unidentified or
misidentified. Therefore, this research paper aims to devise and assess
how the MHM database can be appropriately classified to create an
accurate dataset with all Anopheles larvae photos classified by their
proper genus.Besides being a vector of Malaria, another unique
characteristic of theAnopheles mosquito is the absence of a siphon, so
by scanning for this trait among MHM larvae photographs and noting
positive matches, researchers created a dataset of mosquito larvae that
could become vectors of Malaria as adults (Image Reference #1). This
data set could then be used to train AImodels utilizing Convolutional
Neural Networks (CNN) or VisionTransformers (ViT) to classify the MHM
database autonomously in the near future.
The SDG monitoring framework provides limited evidence that environmental policies are delivering multiple ecological and social benefits
Authors: Fairbrass Alison , O'Sullivan Aidan , Campbell Jillian , Ekins Paul
Published: February 2023

The Sustainable Development Goals (SDGs) provide targets for humanity to
achieve sustainable development by 2030. A monitoring framework of 248
environmental, social, and economic indicators, reported nationally by
193 UN Member States, tracks progress. The framework includes 92
environmental indicators, most of which refer to environmental policies.
The SDG monitoring framework provides data to assess whether, across
countries, environmental policies are: 1. Addressing environmental
pressures, 2. Linked to environmental improvements, and 3. Linked with
societal benefits delivered by healthy environments. We use statistical
analysis and a generalized linear modeling approach to test for
correlations between SDG indicators related to environmental policies,
environmental pressures, the state of the environment, and social
impacts delivered by healthy environments. Our results show that
environmental policies, particularly protected areas and sustainable
forest certification, are linked with environmental improvements, mainly
in forest and water ecosystems. However, we find no evidence that
environmental improvements are linked with positive social impacts.
Finally, environmental pressures, including freshwater withdrawal,
domestic material consumption, and tourism, are linked with
environmental degradation. Environmental policy responses are generally
increasing across countries. Despite this, the state of the environment
globally continues to decline. Governments must focus on understanding
why environmental policies have not been sufficient to reverse
environmental decline, particularly concerning the pressures that
continue to degrade the environment. To better track progress towards
sustainable development, we recommend that the SDG monitoring framework
is supplemented with additional indicators on the state of the
environment.
Bilateral upper-left shifts on double sequence spaces
Authors: Guo Zhitao
Published: February 2023

In this paper, we study the bilateral upper-left shifts B on the weighted double sequence spaces Lp(Z, v) and characterize the hypercyclicity and supercyclicity of B : Lp(Z, v) ? Lp(Z, v) based on Salas?s previous results about the bilateral weighted backward shifts acting on l2(Z). Furthermore, we construct a special weight sequence such that B and the weighted bilateral upper-left shifts Bw are conjugate, and we generalize the results to Bw : Lp(Z) ? Lp(Z) via this conjugacy. Finally, we investigate the chaoticity of the bilateral upper-left shifts.
Generalized relative essential spectra
Authors: Azzouz Abdelhalim , Beghdadi Mahamed , Krichen Bilel
Published: February 2023

The aim of the present paper is to give some spectral results about
generalized Fredholm operators and the so called S-generalized Fredholm
operators, where S is a given bounded linear operator acting on a Banach
space X. When X possesses some properties, we provide then some sufficient
conditions for which a bounded linear operator will be a generalized
Fredholm. The obtained results are applied to characterize the so called
generalized S-essential spectrum, in particular the generalized Jeribi
S-essential spectrum [17]. These results are formulated by means of measure
of weak noncompactness.
Complete moment convergence forweighted sums of widely orthant dependent random variables and its application in nonparametric regression model
Authors: Zhang Aonan , Yu Yawen , Shen Yan
Published: February 2023

In this paper, the complete moment convergence of weighted sums for widely
orthant dependent (WOD, in short) random variables are established. The
results obtained in the paper generalize and improve some known ones. As an
application of the main results, we present a result on complete consistency
for the weighted estimator in a nonparametric regression model based on WOD
errors.
Certain linear and weakly linear systems of matrix equations over semirings. Applications in a state reduction of weighted automata
Authors: Stamenkovic Aleksandar , Stanimirovic Stefan , Halava Vesa
Published: February 2023

In this paper we study particular linear and weakly linear systems of matrix
equations over semirings, with the aim of describing and computing functions
as solutions to those systems. Our special attention is devoted to solutions
whose ranks are as small as possible. We prove the existence of solutions
with the smallest ranks, give their characterizations, and present a method
for their computations. Regarding weakly linear systems, the method is based
on the well known partition refinement algorithm by Kanellakis and Smolka,
adapted to work with weighted labeled transition systems. Moreover, we give
a state reduction procedure of weighted automata based on a decomposition of
solutions to particular linear and weakly linear systems.
Generalized Drazin-1-meromorphic invertible operators and generalized Kato-1-meromorphic decomposition
Authors: Zivkovic-Zlatanovic Snezana
Published: February 2023

In this paper we generalize the concept of Koliha-Drazin invertible operators
by introducing generalized Drazin-1-meromorphic invertible operators. A
bounded linear operator T on a Banach space X is said to be 1-meromorphic if
every non-zero point of its spectrum is an isolated point. For T we say that
it is generalized Drazin-1-meromorphic invertible if there exists a bounded
linear operator S acting on X such that TS = ST, STS = S, TST ? T is
1-meromorphic, while T admits a generalized Kato-1-meromorphic decomposition
if there exists a pair of T-invariant closed subspaces (M,N) such that X =
M?N, the reduction TM is Kato and TN is 1-meromorphic.
Сравнительная характеристика химического состава Veronica incana L. (Plantaginaceae) в Якутии
Authors: Chemposov Vladimir V. , Chirikova Nadezhda K.
Published: February 2023

This publication provides a comparative description of the chemical composition of silver speedwell (Veronica incana L.). We chose three different regions of Yakutia as objects of study, namely: Megino-Kangalas District (Central Yakutia); Vilyuisk District (Western Yakutia); Oymyakon District (Eastern Yakutia). The content of certain groups of substances (phenolic compounds, tannins, flavonoids, and phenylpropanoids) in vegetable raw materials was studied. The highest content of all studied compounds was found in the leaves of V. incana L. growing in the Oymyakon District
Pendistribusian Zakat Infak Sedekah Berbasis Kemitraan di BMT Amanah Ummah Sukoharjo
Authors: Huda Nurul
Published: February 2023

Penelitian ini mengkaji tentang pendistribusian Zakat, Infak, Sedekah (selanjutnya disebut ZIS) di BMT Amanah Ummah melalui pola kemitraan dengan lembaga pengelola zakat, yaitu Lazismu UMS. BMT Amanah Ummah dalam mendistribusikan melalui pola mandiri belum terlaksana secara optimal menjangkau mustahik secara luas dengan berbagai program kegiatan. Melalui pola kemitraan, kendala pendistribusian ZIS di BMT Amanah Ummah diharapkan dapat lebih optimal. Penelitian ini merupakan jenis kualitatif deskriptif dengan metode pengumpulan data melalui proses dokumentasi. Adapun hasil penelitian adalahpertama, BMT Amanah Ummah dalam mendistribusikan ZIS telah menjalin kemitraan dengan Lazismu UMS yang direalisasikan dalam Program Ben Sehat dan Ben Pinter; Kedua, Kemitraan BMT Amanah Ummah dengan Lazismu UMS dalam mendistribusikan ZIS termasuk jenis bentuk pendistribusian konsumtif kreatif; Keitga, Kemitraan BMT Amanah Ummah dengan Lazismu UMS dalam mendistribusikan ZIS telah melaksanakan berdasarkan prinsip pemerataan, keadilan, dan kewilayahan; Keempat, kemitraan BMT Amanah Ummah dengan Lazismu UMS belum menjangkau jenis bentuk distrtibusi ZIS yang lainnya, seperti konsumtif tradisional, produktif tradisional, dan produktif kreatif. Demikian pula apabila dilihat dari prinsip pemerataan, belum meliputi ke seluruh program yang lain, yaitu: Kelembagaan, Ben Kuat, dan Ben Seneng.