bluuebunny/crossref_metadata_2025 huggingface dataset:
A Binary PSO-Based Model Selection for Novel Smooth Twin Support Vector Regression
Authors: Huang Huajuan , Wei Xiuxi , Zhou Yongquan
Published: May 2022

The recently proposed smooth twin support vector regression, denoted by STSVR, gains better training speed compared with twin support vector regression (TSVR). In the STSVR, sigmoid function is used for the smooth function, however, its approximation precision is relatively low, leading to the generalization performance of STSVR is not good enough. Moreover, STSVR has at least three parameters that need regulating, which affects its practical applications. In this paper, we increase the regression performance of STSVR from two aspects. First, by introducing Chen-Harker-Kanzow-Smale (CHKS) function, a new smooth version for TSVR, termed as smooth CHKS twin support vector regression (SCTSVR) is proposed. Second, a binary particle swarm optimization (PSO)-based model selection for SCTSVR is suggested. Computational results on one synthetic as well as several benchmark datasets confirm the great improvements on the training process of proposed algorithm.
Understanding and Analyzing Social Network Structure Among University Students
Authors: Hossen Md. Sharif , Islam Aminul
Published: May 2022

Mobile phone arguably is one of the most reached and used technology in human history. Technology has become ubiquitous in the life of human beings. Equipped with multiple sensors and devices, smartphones can record each and every action, psychological and environmental states of users, making it a goldmine of rich data about and insight into the dynamics of human communication, human behavior, relationships, and social interaction. As a source of data for empirical research, this device has gotten much attention from scholars in various disciplines like sociology, social psychology, urban studies, communication and media studies, public health, epidemiology, and computer science. This research tries to understand the structure of social networks of university students by investigating their communication patterns using self-reported mobile phone data. Here, we can find those students who are connected to most of the classmates and maintain a strong relationship and perform a task successfully using the values of eigenvector, closeness, and betweenness centrality, respectively.
Optimization of the Wake-Up Scheduling Using a Hybrid of Memetic and Tabu Search Algorithms for 3D-Wireless Sensor Networks
Authors: Chawra Vrajesh Kumar , Gupta Govind P.
Published: May 2022

Computation of an optimal coverage and connectivity aware wake-up schedule of sensor nodes is a fundamental research issue in a 3D-Wireless Sensor Networks. Most of the existing metaheuristic-based wake-up scheduling schemes do not make sure optimal solution and occasionally smacked in local minima. This paper propose a hybrid metaheuristic-based wake-up scheduling scheme (Memtic-Tabu-based-WS) where best feature of memtic algorithm and Tabu Search algorithm is combined. The proposed scheme has considered four parameters such as energy consumption, coverage, connectivity, and optimal size of schedule list. Performance comparison of the proposed Memtic-Tabu-based-WS scheme is performed in different network scenario and compared with three well-known state-of-art schemes in terms of coverage ratio, active sensor nodes and fitness value. The result analysis validate the superiority of the proposed scheme over the existing schemes with better coverage ratio and derivation of the optimal wake-up schedule.
Sentiment Analysis of COVID-19 Tweets Using Adaptive Neuro-Fuzzy Inference System Models
Authors: Mohammed Sabri Sabri , Menaouer Brahami , Faten Fatima Zohra Abid , Nada Matta
Published: May 2022

In today’s digital era, Twitter’s data has been the focus point among researchers as it provides specific data and in a wide variety of fields. Furthermore, Twitter’s daily usage has surged throughout the coronavirus disease (Covid-19) period, presenting a unique opportunity to analyze the content and sentiment of covid-19 tweets. In this paper, a new approach is proposed for the automatic sentiment classification of Covid-19 tweets using the Adaptive Neuro-Fuzzy Inference System (ANFIS) models. The entire process includes data collection, pre-processing, word embedding, sentiment analysis, and classification. Many experiments were accomplished to prove the validity and efficiency of the approach using datasets Covid-19 tweets and it accomplished the data reduction process to achieve considerable size reduction with the preservation of significant dataset's attributes. Our experimental results indicate that fuzzy deep learning achieves the best accuracy (i.e. 0.916) with word embeddings.
Powering Up an IoT-Enabled Smart Home
Authors: Madhu Sarath , Padunnavalappil Sooraj , Puthenpurayil Saajlal Prarthana , Adat Vasudevan Vipindev , Mathew Johnson
Published: May 2022

Smart cities and smart homes have a larger number of devices requiring continuous electricity. An inverter circuit is often used to cope up with power failures. Such inverters can also be used in the period of high demand for power to reduce the load on the grid. On the other hand, utilizing renewable energy is an important aspect of sustainable development. A solar-powered inverter reduces the usage of grid power and makes efficient utilization of solar energy. Further, the inverter can be integrated with microcontrollers to work on predetermined time slots to substitute the grid power. This paper describes the design of a novel solar-powered smart inverter that automatically switches the power supply from the grid to the inverter during peak hours. It is designed to suit smart home requirements up to 1 kW and a holistic design is presented. The performance of the circuit is analyzed and compared with similar works in literature to show the improvements. Simulations and hardware implementations show that the proposed system ensures an uninterrupted power supply for smart homes.
A Distributed Algorithm for Computing Groups in IoT Systems
Authors: Bouneb Zine El Abidine
Published: May 2022

The distributed publication and subscription for the Internet of Things is a model of communication between devices that is simple and powerful. In comparison with other variant problems of ME, the problem considered here is a group mutual exclusion problem. The specificity of an IoT system is that a process can be in more than one group at the same time which is not the case of the algorithms mentioned in the literature where a process request one group in advance for each request. In this paper, we define formally the notion of group. Furthermore, we propose a distributed algorithm for automatic group generation and we will show that this problem is maximal cliques’ problem. This leads us to a new kind of distributed Maximal cliques algorithm to compute the groups suitable for IoT systems. As an application, we propose an IoT-based intersection traffic light management system for vehicles.
A Survey of Different Approaches for the Class Imbalance Problem in Software Defect Prediction
Authors: Dar Abdul Waheed , Farooq Sheikh Umar
Published: May 2022

The imbalanced nature of the software datasets leads to the biased learning of prediction model toward the observations of the majority class (non-defective class). The prediction model can produce poor results for the minority class observations. Such misappropriations can prove costly especially in software development where minority class (defective) is the one that has the highest interest from the learning point of view. Various approaches have been used for dealing with class imbalance problem of software defect prediction but no one dominates and hence developing a generalized software defect prediction model for imbalanced datasets remains problematic. This paper surveys existing approaches for handling class imbalance problem of software defect datasets. In this survey, most relevant software defect prediction studies and identified the two main approaches that have been used for handling imbalance issue of software defect datasets. Furthermore, we also provide some comparison of findings in state-of-the-art literature and the guidelines for carrying out future research.
Implementing Web and Mobile Applications From Linked Open Data
Authors: Zemmouchi-Ghomari Leila , Belilet Djamaleddine , Mekideche Ikram , Ghomari Abdessamed Réda
Published: May 2022

The Linked Data initiative has successfully attracted many data providers who agree to adhere to the linked data principles and W3C standards. This movement aims to adopt a unified format, understandable by machines and easily discoverable and exploitable. As a result of this success, there has been a continuous expansion of linked open data available on the cloud. However, a limited number of applications utilize this wealth of data. Therefore, several governmental initiatives were launched to encourage the exploitation and use of public utility data to create applications that improve citizens' lives. This work investigates how linked open data, including government data, can provide public utility applications. Furthermore, this paper proposes a generic approach for creating mobile and web apps based on linked open data.
Evaluation and Comparative Analysis of Semantic Web-Based Strategies for Enhancing Educational System Development
Authors: Hu Bin , Gaurav Akshat , Choi Chang , Almomani Ammar
Published: May 2022

Educators have been calling for reform for a decade. Recent technical breakthroughs have led to various improvements in the semantic web-based education system. After last year's COVID-19 outbreak, development quickened. Many countries and educational systems now concentrate on providing students with online education, which differs greatly from traditional classroom education. Online education allows students to learn at their own pace and the system. As a consequence, we may say that education has become more dynamic. In the educational system, this changing nature makes user demands difficult to identify. Many instructors suggest using machine learning, artificial intelligence, or ontology to improve traditional teaching methods. Due to the lack of survey studies examining and comparing all of the researcher's semantic web-based teaching methodologies, we decided to conduct this survey. This paper's goal is to analyse all available possibilities for semantic web-based education systems that enable new researchers to develop their knowledge.
Optimized Options for Fresh Food Deliveries in Baltimore Food Deserts
Authors: Khadem Nashid K. , Shin Hyeon-Shic , Lee Young-Jae , Choi Youngmin , Schonfeld Paul M.
Published: May 2022

A food desert is an area with limited access to healthy and affordable food. This study evaluates various alternatives of a last-mile fresh food delivery system to address issues of limited access to fresh food sources for individuals living in so-called food deserts. Six different combinations of five transportation modes – truck, e-bike, shared-ride, pop-up truck, and third-party delivery car – and a locker facility system, are evaluated to determine the total delivery cost to serve a food desert area. The characteristics of each transportation mode are presented, and the total costs of delivery, including user costs, are computed for a case study area in Baltimore. The Network Analyst extension in ArcGIS 10.6 is used to estimate travel time, distance and costs. The results show that delivery by a third party is the most cost-effective, followed by trucks and e-bikes. The shared-vehicle and pickup bus alternatives are the most expensive. On the other hand, deliveries made by pop-up trucks have the lowest operating cost.
From “Set Plan” to “Horizon Europe”
Authors: Marinelli Giovanni , Pantaloni Monica
Published: May 2022

This article outlines the evolutionary framework of disciplinary scientific research and its development in defining the Smart City concept and the main evaluation criteria of smartness and smart urbanism in Europe. Starting with the timeline of the three definitions of smartness, the study analyses the EU development programs and highlights the innovation introduced by European policies across three European programs: a) SET-Plan (2000-2006); b) Seventh Framework Program, FP7 (2007-2013); c) Horizon 2020 (2014-2020), tackles comparatively the implication of smart cities in European countries in term of policies and how to assess the smartness in these cities. The research concludes with some reflection about the role of the ‘Smart city’ paradigm in the next seventh-year program 2021-2027, and his contribution to building a theoretical basis to implement a 'smart urbanism’ concept and its applications in urban planning tools.
An Analysis of Virtual Professional Development for School Leaders During COVID-19
Authors: Irby Beverly J. , Pashmforoosh Roya , Druery Donna M. , Eljaouhari Nariman , Tong Fuhui , Lara-Alecio Rafael
Published: May 2022

As a major component of leadership development, professional development (PD) support needs more researchers to focus on possible ways to build school leaders’ instructional capacity. Despite the increasing use of virtual professional development (VPD) as venues for leadership development, little is known about the essential components of an effective VPD. With the advent of COVID-19, we pivoted to VPD focused on improving school principals’ abilities to help teachers increase their instructional capacity. More specifically, we provided a virtual Summer Leadership Institute (VSLI) on peer coaching via VPD. Since research on effective PD calls for school leaders to translate their learning into leadership practice, we addressed in our sequential explanatory mixed methods study how practicing school leaders in the United States perceived the effectiveness of VPD on school leaders’ professional knowledge and growth related to the VPD topic of peer coaching. We conclude with seven specific principles to consider when developing and providing such a VPD experience for school leaders.
The Progress of Business Analytics and Knowledge Management for Enterprise Performance Using Artificial Intelligence and Man-Machine Coordination
Authors: Liu Qian , Li Jiayi
Published: May 2022

This study aims to explore the integration of human-computer interaction (HCI) technology and platform ecosystem in artificial intelligence (AI) environment, thus providing a practical basis for the intelligent development of strategic management of platform ecosystem. With clothing e-commerce as an example, first, the business model of brand clothing is simply analyzed. Then, the fashion knowledge management method is adopted to build the fashion data warehouse. The platform intelligent clothing ecosystem is innovatively put forward through the research of business analytics and management mode of clothing e-commerce industry. The optimized genetic algorithm is used to solve the objective function of the model, and a flexible production scheduling model with multiple constraints and maximum cost-saving is established. Finally, the questionnaire results of voice interaction users are analyzed by HCI customer trust model.
Construction of SCUIR Propagation Model Based on Time-Varying Parameters
Authors: Li Feng , Sun Gengxin
Published: May 2022

The novel coronavirus is a new type of virus, and its transmission characteristics are different from the previous virus. Based on the SEIR transmission model, this paper redefines the latent state as close contacts state, introduces an asymptomatic infection state, and considers the influence of time on the state transition parameters in the model, proposing a new transmission model. The experimental results show that the fitting accuracy of the model has significantly improved. Compared with the traditional model, the fitting error was reduced by 8.3%-47.6%. Also, this study uses the US epidemic data as the training set to predict the development of the US epidemic, and the forecast results show that the US epidemic cannot be quickly controlled in a short time. However, the number of active cases will usher in a rapid decline after August 2021.
Maximum-Entropy-Based Decision-Making Trial and Evaluation Laboratory and Its Application in Emergency Management
Authors: Che Yuelin , Deng Yong , Yuan Yu-Hsi
Published: May 2022

Decision-making trial and evaluation laboratory (DEMATEL) can visualize the structure of complex causal relationships, so it is widely used in decision making. One of the important steps in DEMATEL is normalization, and it has received much attention in recent years. Maximum entropy (MaxEnt) is a universal principle, and it is an effective tool for determining the amount of information existed in evidence. In this paper, the authors propose MaxEnt-based DEMATEL. The greatest contribution in this paper is the use of MaxEnt principle to determine the normalized direct influence matrix, which allows to obtain the normalized matrix with minimal information loss. The authors illustrate emergency management to show the superiority of the proposed method.
Continuance Intention of Online Healthcare Communities
Authors: Yang Jinxin , Luo Biao , Tsai Fu-Sheng
Published: May 2022

The purpose of this research is to evaluate the continuance usage intention on online healthcare community (OHC) platform for patients and examine the "doctor-OHC-patient" relationship. The proposed model attempted to integrate social interaction ties, shared value, trust with the indirect effects on the relationship between the determinants and continuous usage intention of the OHC platform. The empirical results showed that perceived critical mass, social identity, and para-social interaction would strengthen continuance intention via the social interaction ties. In addition, this study found that the shared values and trust increase users' willingness to continue usage of OHC. This study provides OHC platform managers with an in-depth understanding of the "doctor-OHC-patient" online social interaction. The results of this study may also help hospitals, health policy makers, and related healthcare practitioners to improve the way they use the web for advocacy and guidance, and provide insight into the intent of promoting the ongoing use of OHC platforms.
Visual and Control Augmentation Techniques for Pilot Assistance During Helicopter Shipboard Recovery
Authors: Mehling Tim , Halbe Omkar , Hajek Manfred , Vrdoljak Milan
Published: May 2022

Shipboard launch and recovery of helicopters continue to pose operational challenges even to experienced pilots. The present research seeks to develop novel visual and control augmentation techniques and determine their impact on human factors for shipboard recovery operations. The
paper first outlines the development and integration of a helicopter–ship dynamic interface model into a wide field of view, fixed-base rotorcraft simulation environment. The paper then describes the development of novel visual and control augmentation techniques for pilot assistance
during shipboard recovery. Visual augmentation includes two-dimensional primary flight information and three-dimensional conformal shipboard landing symbology presented on a low-cost, off-the-shelf, see-through head-mounted display system to facilitate "eyes-out" piloting. Control augmentation
includes robust nonlinear control laws producing translational rate command position hold, and acceleration command velocity hold response types with good predicted handling qualities. Finally, the paper reports experimental results of simulated visual shipboard approaches conducted with four
experimental test pilots for low- and high-intensity ship motions. The results indicate improved piloting performance, mitigation of pilot-induced oscillations, lower workload, improved handling, and improved perceived safety for fleet pilots for the proposed visual and control augmentation
techniques.
With Federal Aid Available, D.C. Public Schools Should Expand Mental Health Resources for Students
Authors: Linett Evan
Published: May 2022

With federal aid available through COVID-19 recovery funds, DC Public Schools must fulfill its mission for every student to reach their potential in a nurturing environment and provide students with heightened mental and emotional health support.
ARPA-H, A New Model for Innovative Health Research
Authors: White Ben
Published: May 2022

Biomedical research has traditionally been slow and incremental, but the COVID-19 pandemic prompted a rapid break from this standard. The cornerstones of health research funding – gradual change and risk aversion – went out the window as the global medical community turned its attention to finding treatments and vaccines for COVID as fast as possible.
Tax Analysis of Vehicle-Miles Traveled
Authors: Morey Gabriel
Published: May 2022

America’s transportation infrastructure faces three challenges: a shrinking Highway Trust Fund, poor physical conditions, and a need to shift to cleaner modes of transport. Despite these growing needs, the main tool used to fund transportation projects in the United States—the federal fuel taxes—have not been raised since 1993, even as inflation, improving fuel efficiency, and increasing electrification have chipped away at the tax yield (C. Davis 2021). Replacing federal fuel taxes with a vehicle-miles traveled (VMT) tax could both increase revenue for needed infrastructure projects and reduce VMT. This paper analyzes VMT taxes across four dimensions: administrative feasibility, behavioral distortion, revenue yield, and equity. It finds a consensus among researchers that VMT taxes can reduce driving, although they may also produce a substitution effect toward less fuel-efficient vehicles. They can provide adequate yield for governments and are as equitable as fuel taxes. On the fourth dimension—feasibility—VMT taxes appear to be somewhat less efficient for governments to collect, but advances in collection technology may solve that issue. This paper recommends that the federal government replace fuel taxes with a VMT tax and couple it with increased fuel-economy regulations or sales taxes on fuel-inefficient cars.
Altered states of consciousness
Authors: Fulco Giuseppe
Published: May 2022

Non disponibile.
Per una pedagogia del soggetto: la centralità della persona negli interventi educativi
Authors: Manici Stefano
Published: May 2022

Il presente articolo propone ed espone un punto di vista professionale sul sapere e sulle pratiche pedagogiche contemporanee, soffermandosi in particolare sulla centralità dei soggetti in educazione. Il sapere pedagogico versa in uno stadio di ‘incertezza e precarietà’, lasciando aperti alcuni nodi sui modelli educativi, culturali e sociali. L’esplicitazione delle ‘precarietà’ del lavoro educativo merita di trovare un significato: l’incertezza si fa salutare debolezza, come Sergio Tramma ricorda in ‘L’educatore imperfetto’, la ‘costituzione instabile’ dell’educativo ne è la sua intrinseca forza perché rappresenta la costante apertura alla trasformazione, alla possibilità, alla lettura del cambiamento. Quale tensione deve accompagnare la mission educativa dei professionisti che operano nel campo delle scienze sociali, quali valori accompagnano l’agire educativo, infine quali proposte si possono attivare per creare un terreno pedagogico che possa essere fertile e foriero di suggestioni? Il paradigma della complessità che attraversa il ‘sapere sociale’ non deve solo preoccuparsi delle problematiche inerenti alle letture del contemporaneo ma può attivare energie e risorse inattese, in grado di ripensare il ruolo delle competenze di tutte le funzioni a valenza educativo-sociale (docente, educatore territoriale, assistente sociale, animatore di comunità, psicologo, mentore). La scommessa è quella di generare teorie ed esperienze trasformative che possano restituire protagonismo ai soggetti in educazione, sia nella dimensione individuale che in quella collettiva.
Cosa fa uno psicoanalista in uno sportello per il gioco d’azzardo problematico e patologico? Lo sportello ‘Gioco Responsabile’ della Repubblica di San Marino
Authors: Corbelli Laura
Published: May 2022

Non disponibile
Adaptation and Validation of a Sinhala version of the Radbound Oral Motor Inventory (ROMP) for Parkinson's disease
Authors: Gamage P. D. M. H . , Mohideen M. S. , Galhena Prasanna , Weerasinghe N. , Kumbukage M. P. , Herath Tharuka , Senanayake Sunethra , Sirisena D. , Senanayake S. J. , Gooneratne Inuka Kishara
Published: May 2022

Background:

The Radboud Oral Motor Inventory for Parkinson's disease (ROMP) is a patient-rated assessment measuring patients' perceptions of speech, swallowing, and saliva control among patients with idiopathic Parkinson's disease (IPD).

Objective:

The present study was carried out to adapt and validate the Sinhala version of the ROMP questionnaire in a Sinhala-speaking patient cohort diagnosed with IPD.

Materials and Methods:

The study population consisted of patients diagnosed with IPD attending a tertiary care neurology clinic at the National Hospital of Sri Lanka. ROMP was translated from English to Sinhala, and an expert committee verified its content. Construct validity was assessed by correlating the Sinhala ROMP scores with the subscales in speech, salivation, and swallowing of the Unified Parkinson's Disease Rating Scale and with five-point Likert-type scale to assess dysarthria, dysphagia, and drooling by a speech and language therapist. Test–retest reproducibility was assessed by repeating the questionnaire in 2 weeks.

Results:

A cohort of 21 patients was evaluated (male to female ratio = 2.5:1, mean age was 58.8 [±8.3] years). The Spearman's correlations between ROMP and the Likert-type scale assessment, that is, speech r = 0.85 (P < 0.01), swallowing r = 0.86 (P < 0.01), and drooling r = 0.88 (P < 0.01), and subscales of the UPDRS were statistically significant, that is, speech r = 0.75 (P < 0.01), swallowing r = 0.96 (P < 0.01), and salivation r = 0.94 (P < 0.01). Reproducibility of the three domains and total intraclass correlation coefficients indicated a high level of agreement in test–retest reproducibility (range: 0.98–0.99). The three subdomains of the instrument also had excellent internal consistency (total Cronbach's α = 0.99).

Conclusion:

The Sinhala version of ROMP has proved to be a good assessment tool for dysphagia, dysarthria, and drooling in the early stage of IPD patients.
Mental health problems during COVID-19 outbreak in social health-care workers in Karimnagar
Authors: Rachakatla Shiva Kumar , Porandla Kishan , Krishna P. Sai , Kumar N. D. Sanjay , Mavillapalli Vishnu Vardhan , Pusukuri Sphurti , Sultana Ayesha
Published: May 2022

Introduction:

The COVID-19 outbreak has created unpredictable stress physically and mentally in all sections of population. There is no exception for health-care workers being in frontline during this crisis period. Due to the virus rapid transmission and the pattern of clinical presentation, uncertainty, is created in the form of health emergency all over. There is a need to address mental health issues during this pandemic outbreak of COVID-19 in those who are in frontline.

Subjects and Methods:

It is an observational cross-sectional study performed in social health-care workers (accredited social health activist [ASHA]) to know the psychological disturbances during COVID-19 outbreak. This study has been done in primary health centers located in and around Karimnagar City, Telangana. The scale used to perform this study is Depression, Anxiety, and Stress Scale of 21 questions.

Results:

Out of 181 ASHA workers interviewed, majority of ASHA workers were at normal emotional states of depression (81.8%) and stress (91.2%), but about half (91, 50.3%) of them had moderate level of anxiety and 16 (9%) had severe anxiety level. Only 12 (6.6%) and 4 (2.2%) had moderate depression level, and stress level, respectively. Out of 91 ASHA workers who had moderate level of anxiety, only one had moderate level of depression and out of 16 who had severe level of anxiety, all of them had normal level of depression and stress.

Conclusion:

Frontline health care workers experience psychological disturbances during pandemics like COVID-19 to a certain degree. Administrators should be aware that the mental health support of health care workers is an important part of the COVID- 19 response. Educational interventions, to ensure understanding and use of infectious control measures. Psychological support, like counselling services and development of support systems among colleagues.
Clinico-etiological profiles in patients with delirium in intensive care unit setting
Authors: Reddy Indukuri Suchaitri , Kulkarni Pavan Kumar , Gudlavallety Preeti , Gollepally Pragathi , Sriperumbudur Gopinath
Published: May 2022

Background:

Delirium is a neuropsychiatric disorder with a prevalence ranging from 16% to 53.6% in India. Although delirium is characterized as a unitary syndrome, not all symptoms follow the same trajectory over the course. Hence, there is a necessity for a larger number of studies to understand these phenomenological and etiological profiles across different regions in India.

Aim:

To study the clinico-etiological variables and phenomenological profile in delirium in the intensive care unit (ICU) setting.

Materials and Methods:

A longitudinal prospective study was conducted in a tertiary care hospital including all consecutive delirium patients who referred to the psychiatry department from ICU. All the participants' socioeconomic data were obtained and were administered. Charlson comorbidity index, Neelon and Champagne confusion scale, Richmond agitation sedation scale, delirium etiology checklist, delirium revised scale, revised-98, descriptive statistics, and ANOVA were used for statistical analysis.

Results:

Out of 51 study population, the mean age was 57.82 ± 17.19 years, with male preponderance and belonging to lower-middle and upper-lower class. 70.58% of the patients were found to have moderate–severe delirium. Majority of the referral population are from general medicine and of hyperactive delirium. There is no association established with the number of drugs and comorbidities with delirium severity. Metabolic disturbances are most common; sleep–wake cycle disturbance has the highest score and also the most common feature in delirium severity.

Conclusion:

Majority of the cases who were referred are male in moderate–severe stage and hyperactive delirium. As the detection of cases is challenging in the ICU settings, better understanding of the underlined etiological and phenomenological profiles may aid in easy identification of delirium cases at early stages.
A cross-sectional study of intimate partner violence, adverse childhood experiences, and psychiatric morbidity in females with mental illness at a tertiary hospital
Authors: Gour Sanchita , Rao Sireesha S
Published: May 2022

Background:

Intimate partner violence (IPV) has an adverse effect on the mental health of women. Sparse literature is available on IPV in women with mental illness.

Aims and Objectives:

This study was carried out to assess the proportion of IPV, its correlation with sociodemographic factors, and its association with adverse childhood experiences.

Materials and Methods:

The study was cross-sectional. Convenient sampling technique was used to collect the sample. Remitted female patients were assessed on the Abuse Assessment screen and Adverse Childhood Experiences Scale. Semi-structured intake pro forma was used to enter sociodemographic details and diagnosis (as per International classification of diseases-10). Data were analyzed using SPSS V.22.

Results:

Proportion of IPV among female study subjects were found to be 67.14%. IPV was found to be more among subjects who were unmarried, single, divorced, those who had borderline, histrionic traits, and those whose partners were dependent on alcohol. IPV showed a positive correlation with adverse childhood experiences. Study subjects who showed more ACE showed a positive correlation with a family history of substance abuse, suicide attempts, and histrionic and borderline personality traits

Conclusion:

IPV was high among patients with mental illness. Risk is high if the partner has alcohol dependence syndrome. Marriage was found to be protective against IPV. Prevention and intervention programs and marital counseling should be directed toward the assessment and treatment of IPV among females with psychiatric disorders.
Prevalence and risk factors associated with bovine tuberculosis in local and crossbred dairy cattle in Debre Berhan milk shed, central Ethiopia
Authors: Demissie Kassa , Mamo Gezahegne , Girma Musse , Gumi Balako , Abayneh Takele , Ameni Gobena
Published: May 2022

Bovine tuberculosis is a chronic and contagious disease of animals and humans with worldwide distribution. A cross-sectional study was employed to estimate the prevalence of bovine tuberculosis and its associated risk factors in dairy cattle found in the Debre Berhan milk shed. The study covered three districts found in the Debre Berhan milk shed for the duration of six months extending from July to December 2018. A single intradermal comparative cervicaltuberculin test was used as a screening test of bovine tuberculosis. Face-to-face interview using a structured questionnaire was also employed to collect data on the risk factors associated with bovine tuberculosis. A binary logistic regression statistical model was used for data analysis. The finding showed that the apparent individual animal level prevalence was 17% (106/625; 95% confidence interval [CI]: 14.2-20.2) at ≥ a 4mm cut-off value in 625 heads of dairy cattle tested. The herd prevalence was 16.7% (16/96; 95% CI: 10.1-26) at ≥ a 4mm cut-off value in 96 dairy herds tested. Multivariable logistic regression analysis at ≥ a 4mm cut-off value revealed that dairy cattle in poor body condition (Adjusted Odd ratio [AOR] = 3.7; 95% CI: 1.6-8.4; p = 0.002), large herd size (AOR = 29.5; 95% CI: 5.6-154.1; p = 0.000) and exotic breed (AOR = 3.7; 95% CI: 1.3-10.7; p = 0.018) had 4, 30 and 4 times the odds of tuberculin positivity with statistical significance, respectively compared to their counterparts. The findings in this study complement the works of other authors who conducted bovine tuberculosis studies elsewhere in Ethiopia. In conclusion, the prevalence of bovine tuberculosis in dairy cattle of Debre Berhan milk shedwas found to be moderately high both at animal and herd levels. Moreover, poor body condition, herd size, and breed were important predictors of tuberculin test positivity. A further in-depth study on the prevalence and associated risk factors using a larger sample size are recommended.
Review Article : A review of the distribution, nutritional value and conservation status of wild harlequin quails (Coturnix delegorguei delegorguei) in Kenya
Authors: Ogada Stephen , Lichoti Jacqueline , Musina John , Ommeh Sheila
Published: May 2022

Wild harlequin quails are a traditional source of protein in many parts of Sub-Saharan Africa. Nonetheless, they are greatly underutilized to combat malnutrition and ensure food security. The current status of quail populations in Kenya is mostly unknown, especially after introducing numerous exotic quails during the quail ‘bubble’ of years 2013-2015. Besides, the ongoing uncontrolled harvesting of wild harlequin quails and its effect on wild quail populations has not been examined either. The aim of this review is to discuss and reveal the emerging issues associated with the opportunities, utilization challenges and conservation status of wild harlequin quails in Kenya. This review will focus on peer-reviewed research articles, published books, review articles and internet resources on wild quails and commercial quail farming. It is essential to point out that quails are already considered as emerging poultry, and increased consumption of their products is highly encouraged, thus contributing to food security in Kenya. However, wild harlequin quail conservation concerns need to be addressed regarding their uncontrolled harvesting, destruction of their habitats, and climate change.
Review Article : Heat stress and poultry: Adaptation to climate change, challenges and opportunities for genetic breeding in Kenya
Authors: Kennedy Grace Moraa , Lichoti Jacqueline Kasiiti , Ommeh Sheila Cecily
Published: May 2022

The Earth’s ambient climatic factors, such as temperature, humidity, solar radiation, and precipitation, vary through time and space due to climate change. Heat stress, one of the major factors affecting poultry production, is a direct result of climate change, resulting in enormous losses for the poultry sector. As a result of heat stress, several physiological changes such as suppressed immunecompetence, oxidative stress, and acid-base balance lead to reduced feed intake, feed efficiency, body weight, meat, egg quality, and sometimes mortality. Adverse effects have necessitated several adjustments in animal husbandry practices such as housing and feeding regimes to be implemented. Modifying the environment in poultry production systems can cushion exposure and compensate for losses in poultry fitness in heat-stressed environments. Some of the modifications that have been tested and shown to be successful in attenuating heat stress in poultry include shade, sprinkling cold water on their bodies, and adjusting diets to reduce metabolic heat production. The extensive genetic diversity of indigenous poultry is essential for climate change adaptation and the continuous enhancement of the genetic stock through breeding adaptive features like heat stress tolerance. The naked neck (Na) and frizzle (gene F) gene have been given attention in recent times in their role to withstand heat stress in poultry. A better understanding of indigenous poultry acclimatization to severe environments, together with methods and tools available for the selection, breeding, and matching indigenous poultry ecotypes to suitable environments, should help to minimize the effects of heat stress on indigenous poultry genetic resource growth, production, and reproduction to sustain food security.
Review Article : Antimicrobial drug resistance in poultry pathogens: Challenges and opportunities
Authors: Panyako Philip M. , Lichoti Jacqueline Kasiiti , Ommeh Sheila Cecily
Published: May 2022

Antimicrobial resistance (AMR) is widely considered a global public health threat, with the use of antimicrobials in poultry production considered one of the contributing factors. Antimicrobial agents are used for growth promotion, prevention, and treatment of poultry diseases. They are also used to prevent and treat human diseases. This unchecked dependence on antimicrobials results in their unregulated use and abuse in human and animal health, resulting in AMR. Previously, AMR was investigated using antimicrobial susceptibility testing using the disc diffusion method (for bacteria and fungi) and phenotypic fluorescence-based inhibition assay (for viruses). This was done after culturing the bacteria and fungi in growth media or propagating viruses in embryonic chicken eggs or specific cell lines. Recent studies utilizing metagenomics and next generation sequencing (NGS) platforms have also identified a large array of antimicrobial resistance genes that had not been discovered earlier. In this study, a systematic review of different studies focusing on AMR in some poultry pathogens was conducted using different databases, such as MEDLINE, EMBASE, and CINAHL library sources for relevant studies. These sources were screened against the protocol eligibility criteria, where 103 studies met the inclusion criteria. We wish to review the current state of antimicrobial resistance in bacteria, fungi and viruses in poultry and also explore alternative approaches for preventing and treating diseases and promoting growth in food animals such as poultry. This is essential in enhancing efforts of harmonizing testing practices and facilitating free access to information and data on AMR with the aim of enhancing treatment measures, along with monitoring the advancement of AMR in poultry pathogens.
Business Model Innovation in Research and Development: State of the Art and Based on Public Needs
Authors: Pratistha Brian
Published: May 2022

Every institution has business models, but some are not properly realized to benefit and meet the public needs. The aim of the study was to improve the government's existing business models in space technology to meet the public needs. Related studies regarding the issues were reviewed, and personal observation was conducted at the government space institution in Indonesia. The study found that to attain the public needs, the development of the business model in space technology should consider four aspects, research and development expenditures, wellbeing, sustainable cities and communities, and adoption of emerging technologies. Incorporating the four aspects into the existing business model is expected to bring the research and development closer to what the public wants.
Seasonal Waste Management in the Southern Coasts of Bali, Indonesia
Authors: Astawa Putu
Published: May 2022

The current waste problem in Indonesia has drawn serious attention from the local, national, and international communities. According to Jambeck et al. (2015), Indonesia produces 0.48 to 1.29 million metric tons of waste to the oceans every year. It makes the country become the second-largest marine debris contributor after China (Jambeck et al., 2015). Marine waste is defined as any manufactured or processed solid material produced by humans which is discarded or disposed of in the marine and coastal environment (Jeftic et al., 2009). The population growth and the changing lifestyle of modern Indonesian society have increased waste production, especially in urban areas (Prajati & Pesurnay, 2019). Floating marine debris is distributed and deposited along the coastlines due to the dynamic aspects of oceanography, i.e., currents, waves, and wind (Galgani et al., 2015; Tong et al., 2021). Seasonal changes influence the movement patterns and the speed of currents and wind, which will affect the volume of marine waste deposited in the coastal areas. The high rainfall during the rainy or monsoon season (November-April) increases the amount of waste washed into waterways (sewers and rivers), increasing marine debris. During the rainy season, the currents and wind speed on the surface tend to be strong, washing the floating marine debris, especially plastic, ashore (Tong et al., 2021). The nature of plastic waste, which tends to be lightweight, buoyant, and easy to be carried away by currents, wind, and tides, contributes to this debris accumulating along the coastlines (Lavers & Bond, 2017). This has caused a growing volume of plastic waste on the coasts of Indonesia every year.
Emenda Constitucional 108/2020 e as novas técnicas de financiamento
Authors: Mascarenhas Caio Gama
Published: May 2022

A proposta do artigo é tecer considerações sobre as inovações financeiras da EC 108/2020 no tocante às finanças baseadas em desempenho. A primeira parte do artigo trata da parte teórica em direito financeiro. A segunda parte do artigo diz aos aspectos técnicos da política pública educacional. Que tipo de política pública é tratada? Quais modelos temos após a Emenda Constitucional 108/2020? Quem regulamenta e como? O trabalho é desenvolvido a partir dos métodos indutivo e dedutivo utilizando de material bibliográfico e documental. Por se tratar de um estudo descritivo e exploratório, será realizado com base na pesquisa bibliográfica e documental, utilizando-se por vezes do método dedutivo e, outras vezes, do indutivo, principalmente nas críticas e reflexões acerca da doutrina, estudos e textos normativos.
política de municipalização do ensino fundamental
Authors: Ferreira Baptista Patrícia
Published: May 2022

O presente trabalho apresenta a evolução histórica do tratamento normativo da educação na história constitucional brasileira. Aponta que a Constituição de 1988, de forma inédita, destacou a autonomia dos municípios para a organização de sistemas de ensino próprios, atribuindo-lhes, prioritariamente, o dever de ofertar a educação fundamental. A política de municipalização do ensino fundamental foi reforçada com a edição da Lei de Diretrizes e Bases da Educação Nacional (Lei nº 9.394/96). A municipalização, porém, deve ser encarada como um processo de coordenação e cooperação interfederativa entre Estados e Municípios. Como a formulação e a execução de políticas públicas em educação situa-se no âmbito da discricionariedade técnica do gestor, não apenas o controle que recai sobre elas é limitado pela separação de poderes, como deve guardar deferência aos critérios técnico-pedagógico eleitos, desde que devidamente fundamentados.
Severe Sunburn Triggers the Development of Skin Cancers: Non-cumulative/Overwhelming UV Damages, UVA Rays, Human Papillomavirus, Indoor/Outdoor Workers and Animal Models
Authors: Chiou Win L
Published: May 2022

Based on analysis of published data of incidence of melanoma, basal cell carcinoma and squamous cell carcinoma from 2 large prospective cohort studies involving about 120,000 health workers in USA, excellent linear relationships between skin cancer incidence and Severe Sunburn (SS) incidence suggesting their causal association were found. It is postulated that the SS-caused UV radiation overwhelms the skin cell’s capacity to repair/remove DNA lesions (about 70,000 non-cumulative lesions per day) and any of these un-repaired/un-removed lesions can eventually become a pre-cancerous tumor or cancer after overcoming numerous barriers of body’s repair/defense mechanisms. The above rationale for cancer etiology seems consistent with the classical wound-to-tumor doctrine. Infection with Human Papillomavirus will reduce the threshold for non-cumulative DNA lesions thereby facilitating cancer initiation. The proposed SS theory may be generally applicable to people with different races, skin types, hair colors and sunlight exposures. The proposed non-cumulative UV damage concept is supported by published data showing parallel first-order aging kinetics of human skin being exposed and un-exposed to sunlight in ordinary people. Solar UVA only plays a minor or insignificant role in skin cancer and premature aging. Prevalence of SS is reviewed. Controversies on skin cancer risks for indoor and outdoor workers such as airplane pilots and crew, health workers, gardeners and truck drivers are discussed. Potential shortcomings of a common practice of using highly unphysiological UV, UVA or UVB doses in animal, cell culture or human skin studies are discussed. Demonstration resembling the reversibility of intrinsic skin aging using a plant deprived of and then replenished with water is presented. It is hoped that this apparently provocative work may stimulate further discussions in the literature.
The Etiological Understanding of Spine Deformities in Patients with Neuromuscular Disorders
Authors: Filatov Egor
Published: May 2022

Purpose: The etiology understanding is the corner stone for proper management of the spine deformities in patients with neuromuscular disorders.

Methods: Progressive spine deformities have been encountered in 71 patients. All showed different forms of neuromuscular disorders. We proceeded with applying prompt evaluation criteria which was mainly based on the etiological diagnosis of each type of NMS (clinical phenotype and genotype). Assessing the Functional Independence Measure (FIM), we observed deterioration in some aspects. The Cobb’s angle was assessed in two occasion’s i.e prior to corrective surgeries plus the post-surgery results. Followed by one year postoperative re-assessment. Surgical corrections have been performed via posterior pedicle screw fixation.

Results: Surgical correction to re-align the C-shaped thoracolumbar scoliosis. Lumbar hyper lordosis were common in cerebral palsy patients, though decreased thoracic kyphosis or even thoracic lordosis occurs more frequently in Duchenne Muscular atrophy patients. There was noticeable improvement in functional status according to Functional Independence Measure (FIM).

Conclusion: Etiology understanding is the paramount element in re-aligning corrective surgeries of the spine in patients with progressive spine deformities. We concluded that rigid hyper lordosis has been and still the key problem encountered in patients with neuromuscular disorders.