bluuebunny/crossref_metadata_2025 huggingface dataset:
The correlation between hepcidin levels and iron parameters in patients with end-stage renal disease on regular hemodialysis successfully treated from hepatitis C virus by directly acting antiretrovirals
Authors: El Sharkawy Magdy M. , El Said Heba W. , Behairy Maha A. , Ahmed Fatma A. , Sharaf Mohamed A. , Khedr Lina E.
Published: May 2022

Background

Hepcidin is a polypeptide secreted from the liver. It regulates iron metabolism by blocking further iron absorption when iron stores are high. Hepcidin levels are usually higher than the normal range in hemodialysis (HD) patients. Hepatitis C virus (HCV) infection leads to lowering of hepcidin levels, leading to more iron overload. The objectives were to determine whether there is a correlation between iron stores and hepcidin levels in HD patients after HCV treatment and to assess the level of hepcidin in those patients who were treated from HCV compared with those who have chronic HCV infection.

Patients and methods

In total, 60 patients on regular HD were recruited and 30 healthy controls. Group I: 30 patients who have been successfully treated from HCV by directly acting antiretroviral drugs with a persistently negative PCR for at least 3 months, group II: 30 patients with chronic HCV infection, and 30 healthy controls form group III. Serum hepcidin levels, iron profile, and complete blood count were compared in all groups.

Results

Hepcidin levels were significantly higher in the HCV-treated group versus the HCV-infected group (mean 226.77±144.13 and 87.77±40.77 ng/dl), respectively, significantly higher transferrin-binding capacity (TIBC), and mean levels 410.5±74.65 and 310.93±122.57 μg/dl. Ferritin levels were higher in the HCV-infected group (355.13±196, 899.5±1522 ng/dl) than in HCV-treated. There was a significant correlation between hepcidin and serum iron, TIBC, and transferrin saturation in the HCV-treated group. On regression analysis, only TIBC and transferrin saturation correlated significantly.

Conclusions

Post HCV treatment with directly acting antiretroviral drugs, hepcidin levels are higher than during HCV-infection state and correlate significantly to higher TIBC. Further studies are needed to establish the effect of iron supplementation on hepcidin level in this subgroup of patients.
Bone markers and renal functional status in healthy Nigeria adults
Authors: Ale Ayotunde Oladunni , Bakare Jane Chiemeka , Oyebisi Oyekunle Olayanju , Adeyemo Olusola Lukman
Published: May 2022

Background

There is a dearth of reports on the relationship between bone metabolism and renal function in Nigeria. This study determined the association between bone-turnover markers and renal functional status in healthy Nigerian adults.

Patients and methods

This exploratory observational study consisted of 80 apparently healthy participants aged 22–50 years without known risk factors for renal impairment. Fasting samples were analyzed for biochemical bone-turnover markers, including serum osteocalcin, total alkaline phosphatase, 24-h urine-calcium excretion, parathyroid hormone (PTH), and 25-hydroxyvitamin D [25(OH)D]; and calcium, phosphate, and creatinine. The estimated glomerular-filtration rate (GFR) was calculated using the Cockcroft–Gault formula. Bone mineral density (BMD) was measured by Dual-energy X-ray Absorptiometry scan (DXA scan). Statistical analysis was carried out and P level less than 0.05 was regarded as significant.

Results

The mean age of study participants was 32.1±5.8 years with a mean GFR of 98.15±9.02 ml/min, mean serum 25(OH)D 51.53±15.45 mmol/l, and mean BMD/Z score 0.54±0.07)/0.20±1.02. None of the participants had osteoporosis or vitamin-D deficiency. There is a significant correlation between bone marker − osteocalcin and BMD, and PTH with BMD and GFR (P<0.05). Also, a nonsignificant trend was observed between calcium excretion, 25(OH)D, and estimated GFR (P=0.07, P=0.08).

Conclusion

PTH may be an early marker of bone loss in renal dysfunction.
Exploring Community Pharmacist’s Knowledge, Attitude, and Practice toward the Provision of Pharmaceutical Care. A Prospective Cross-sectional Study from Saudi Arabia
Authors: Siddique Abubakar , Ahmed Ejaz , Al Zoghabi Mohammed , Alsaif Emad , Alhawshani Faisal
Published: May 2022

Background:

Pharmaceutical care (PC) is the new way of practicing the pharmacist's rule; practicing the PC will improve the quality of life of the patient by providing advices and counseling such as following up the patient after taking the medicines.

Objective:

Evaluating the knowledge, attitude, practice, and perceived barriers of community pharmacists in Qassim, Saudi Arabia, toward the provision of PC.

Materials and Methods:

A cross-sectional study consisting of a questionnaire was conducted to gather data from pharmacy professionals working in community pharmacies in Qassim region of Saudi Arabia between September 2019 and May 2020. A sample of 130 pharmacists were given the questionnaire by the investigator.

Results:

The respondents showed a positive knowledge as 60% think that the medications should be dispensed to patients only, and 95.4% of the respondents are willing to counsel and offer advice to the patients. For attitude, there was also a positive response as 92.3% agreed that primary responsibility of community pharmacists is for providing PC. For practicing, a positive response was also found as 94.6% of the respondents do collect medication history from the patient, while 68.5% of the respondents follow up the patient's progress and assured that desired outcomes have been achieved. For barriers, lack of space and privacy were the most agreed barriers by the respondents with 63%.

Conclusions:

Community pharmacists have shown good knowledge, attitude, and practice in relation to the provision of PC in our study and major barrier we found in our study that lack of privacy in the pharmacy in which the patients will not be willing to express or explain their health or drug-related problems comfortably.
The Mystery of Mucormycosis in COVID-19
Authors: Kalita Deepjyoti , Bhatia Mohit , Rekha Udayakumar Sasi , Singh Arpana
Published: May 2022

Background:

There was a global surge in cases of mucormycosis in COVID-19 patients during the second wave of the pandemic in 2021, reported especially from India. Various predisposing factors such as diabetes mellitus, rampant use of corticosteroids, and COVID-19 per se may be responsible for this spike. Some public health experts have postulated that the epidemiological link between the Delta variant of SARS-CoV-2 and mucormycosis should be explored.

Material and Methods:

A retrospective exploratory study was conducted, in which data of 15 laboratory-confirmed cases of COVID-19 with mucormycosis and/or aspergillosis co-infections were collected after obtaining approval from the institute's ethics committee. These patients were admitted to the Mucor wards of our hospital. The positive COVID-19 status of these patients was confirmed by reverse transcriptase-polymerase chain reaction (RT-PCR). The residual SARS-CoV-2 RNA containing elutes of these patients were stored at −80°C in deep freezers and subjected to whole-genome sequencing in June 2021 at the National Centre for Disease Control (NCDC), New Delhi, India as part of the Indian SARS-CoV-2 Genomic Consortia (INSACOG) program. Concomitant fungal infections in these patients were diagnosed by KOH wet mount and fungal culture as per standard guidelines. Descriptive statistics in the form of percentages and median were used to report the findings.

Results:

Periorbital swelling and ocular pain (14/15; 93.33%), followed by facial swelling (11/15; 73.33%) and nasal obstruction (9/15; 60%), were the most common clinical features observed in these patients. Rhizopus arrhizus was the most common causative fungal agent (12/15; 80%). The majority of the patients (9/13; 69.23%) were infected with the Delta variant of SARS-CoV-2.

Conclusion:

COVID-associated mucormycosis seems to be multifactorial in origin. Although there may be a possible association between mucormycosis and the Delta variant, more studies should be conducted to explore this seemingly reasonable proposition.
Mirrors, lenses and Monge–Ampère equations
Authors: Mérigot Quentin , Thibert Boris
Published: May 2022

Is it possible to shape a piece of glass so that it refracts and concentrates
sunlight in order to produce a given image? The modelling
of this kind of problem leads to nonlinear second-order partial differential
equations, which belong to the family of Monge–Ampère
equations. We will see how semi-discrete methods, that can be
traced back to Minkowski’s works, allow us to numerically solve
such equations.
Connecting Islands: Bridging zbMATH and DLMF with Scholix, a blueprint for connecting expert knowledge systems
Authors: Cohl Howard S. , Teschke Olaf , Schubotz Moritz
Published: May 2022

This paper reports on the recently launched zbMATH Links API. We
discuss its potential based on the initial link partner, the National
Institute of Standards and Technology Digital Library of Mathematical
Functions. As the API provides machine readable data in
the links, we show how one can use data from both sources for
further analysis. To exemplify the simplicity, we also show how
one can use zbMATH’s link data in Jupyter notebooks.
All roads come from China – For a theoretical approach to the history of mathematics
Authors: Chemla Karine
Published: May 2022

This article presents some of the theoretical issues that interest
me in the history of mathematics. Each of them has its origin in
the work I have done on mathematical sources in Chinese. However,
they all have ramifications in other bodies of mathematical
literature, and I have pursued them beyond Chinese sources.
Surface evolution of elastically stressed films
Authors: Fonseca Irene , Leoni Giovanni
Published: May 2022

An overview of recent analytical developments in the study of epitaxial
growth is presented. Quasistatic equilibrium is established,
regularity of solutions is addressed, and the evolution of epitaxially
strained elastic films is treated using minimizing movements.
Automated Vehicles and Infrastructure Enablers: Pavement Markings and Signs
Authors:   Innovation4Mobility, Coyner Kelley , Bittner Jason ,   Applied Research Associates, Inc
Published: May 2022

Transportation infrastructure systems serve as the platform for emerging automated vehicle (AV) technologies and, in their current condition, limit the reliability of these new vehicles. Road conditions, lane markings, and signs provide essential guidance and information to both human- and machine-controlled vehicles; however, their condition and placement vary depending on local conditions, practices, and funding. Irregular sign placements and road markings confuse both human and machine drivers and can create unsafe conditions. Still, in the short term, they are the easiest factor to adjust regarding successful AV deployment. Automated Vehicles and Infrastructure Enablers: Pavement Markings and Signsexamines the issues associated with pavement markings and signs in the context of advanced automation. The report focuses on unresolved issues between the AV industry and infrastructure owners and operators and provides opportunities and recommendations for the AV industry and the larger transportation community to address reliability issues.
The Right Level of Automation for Industry 4.0
Authors:   Airbus, Roye Thorsten
Published: May 2022

In its entirety, automation is part of an integrated, multi-disciplinary product development process including the design, process, production, logistics, and systems approach—it depends on all these areas, but it also influences them as well. Automation in aerospace manufacturing is present throughout the entire supply chain, from elementary part manufacturing at suppliers up to final assembly, and a clear understanding of all the benefits (and drawbacks) of automation would help designers and engineers select the right designs for and levels of automation. The Right Level of Automation Within Industry 4.0 examines all impacts of automation that should be known by designers, manufacturers, and companies before investments in automation-related decisions are made—regardless of the which industry they work in. The process and the set of criteria discussed in this report will help decision makers select the right level of automation.
On existence of normal p-complement of finite groups with restrictions on the conjugacy class sizes
Authors: Gorshkov Ilya
Published: May 2022

The greatest power of a prime $p$ dividing the natural number $n$ will be
denoted by $n_p$. Let $Ind_G(g)=|G:C_G(g)|$. Suppose that $G$ is a finite group
and $p$ is a prime. We prove that if there exists an integer $\alpha>0$ such
that $Ind_G(a)_p\in \{1,p^{\alpha}\}$ for every $a$ of $G$ and a $p$-element
$x\in G$ such that $Ind_G(x)_p>1$, then $G$ includes a normal $p$-complement.
Examples of surfaces with canonical map of degree 4
Authors: Rito Carlos
Published: May 2022

We give two examples of surfaces with canonical map of degree 4 onto a canonical surface.

Comment: Final version
‘Popular Ijtihad’ and Entangled Islamic Discourse on the Covid-19 Pandemic in Russia
Authors: Ragozina Sofya
Published: May 2022

In this article, I examine initial reactions of the Russian Muslim community in social networks to the spread of the Coronavirus. My two main questions are: Who and how reinterprets the category of Islamic piety in the context of the pandemic, and to what extent does the online environment transform the Islamic tradition? To answer them, I focus on the following key narratives of Russian Muslims’ online discourse on the pandemic: Covid-19 as a retaliation against China for the persecutions of Muslim Uighurs in Xinjiang region, the search for signs of the coming doomsday, as well as various approaches to the reinterpretation of religious piety. Moreover, I consider how the pandemic sped up an entangled glocalised discourse. In the context of the increased role of the transnational online Muslim community, I suggest the term ‘popular ijtihad’ to describe individualised forms of religious engagement that the crisis situation stimulated.
Online Nursery Product Management System
Authors: Tathe Pratiksha , Pandit Pratiksha , Mahajan Roshani , Padme Prabodhini
Published: May 2022

Our web application provide vegetable seeds and flower plants to the users its only show the list of vegetable seeds and flower plant available in the website. User can view and buy the product from the website user can update his/her profile in website. In the website images of product is view on the screen. Admin can add product, view details to product, view details to users, send mail to user and delete users. Admin is allowed to edit and delete the customer information.
Post-traditionalist Nahdlatul Ulama and Neo-modernist Muhammadiyah: A Study of Local Muslim Thoughts in Gorontalo
Authors:   Department of Philosophy, Islamic State University of Sultan Amai Gorontalo, Indonesia, Nusi Arfan
Published: May 2022

Nahdlatul Ulama and Muhammadiyah have responded to the local reality of Gorontalo by new approaches of post-traditionalism and neo-modernism. The present article delves to explore the landscape of local Muslim community in Gorontalo within the discourse of Nahdlatul Ulama and Muhammadiyah; it also aims to investigate the model of post-traditionalist Nahdlatul Ulama and neo-modernist Muhammadiyah thoughts in understanding Islam and Gorontalo culture. The study employed a qualitative method that relies on primary and secondary data. Informants from the two Islamic organizations, Nahdlatul Ulama and Muhammadiyah, were involved within this study. Prior to the data analysis, the primary and secondary data were classified.The results of this study signified two points of concern: 1) the Muslim community in Gorontalo consists of Nahdlatul Ulama and Muhammadiyah affiliations. The two organizations have a harmonious relationship; both organizations understand and respect each other. Some of the jama’ah (follower/member) of one organization even practice the religious traditions of the other organization. 2) Nahdlatul Ulama stands on the ground of traditional school of thoughts that are responsive to the modernization, while Muhammadiyah bases its foundation on the modern thoughts that accommodate local traditions. The results further emphasized that the difference of perspective between both organizations lies around the thoughts, while the deconstruction of religious missions remain the same between both organizations. Each organization tends to stand firm on their own ideology as what originally proposed when the organization was first established.
The Impact of Interpersonal Conflicts on Job Depression and Turnover Intention: The Mediating Role of Employer Attitude
Authors:   M.S Scholar, School of Economics and Management, Harbin Engineering University, China, Khan Muhammad Ali
Published: May 2022

The current study aims to explore the influence of interpersonal conflicts at the workplace on job depression and turnover intention. To meet the respective research aim, the current study collected data through an online survey. The study relied on primary data collection by considering 215 employees working in different banks in Pakistan. The direct effects of the structural equation modeling revealed that changes in interpersonal conflicts are responsible for around 41.9%, 15.4%, and 15.8% variations in job depression, turnover intention, and organizational prestige. The findigs of current study showed that interpersonal conflict positively influences job depression and turnover intention at a 10% significance level while negatively influence the organizational presitge at 5% significance level. The employer attitude towards conflict management significantly reduces the job depression and turnover intention. The mediation results suggested that employer attitude significantly improves the orgnaizational prestige through reducing the interpersonal conflicts in the orgnaization. For achieving higher organizational growth and performance, organization need to promote merit based culture, encourage employee frankly policies, and reduce favoritism.
How Do Teachers Implement the Policy of ICT Education for Older Adults? A Study on Policy Implementation in China
Authors: Dai Jinglin
Published: May 2022

As information and communication technology (ICT) becomes more prevalent in daily life, the digital gap between the older and younger groups is increasingly huge. ICT education policy for older adults has been issued in China since 2021 to face that challenge. While previous research mainly focuses on the policymakers and older adults, the teachers, regarded as the core implementer at the street level, need to be more concerned. This research uses qualitative research methods to understand the complexity of the implementation process and identify the influence factors in the view of teachers. It found that the number of faculties and suitable teaching equipment is generally ignored. Besides, the awareness of caring for older adults is the most potent factor in achieving the policy. Along with that, the efforts of learning institutions have a positive impact on teachers belief in policy. Recommendations are also threefold: firstly, learning institutions should deliver and express policies, even if they are available online. Secondly, the features of ICT education should consider the faculties and suitable equipment. Finally, cultivating an age-friendly environment is crucial for ICT education and the aging society.
PERAN ORANG TUA DALAM MENANGANI DAMPAK NEGATIF MEDIA SOSIAL PADA REMAJA DI KEC. SINJAI TENGAH
Authors: Suriati Suriati , Faridah Faridah , Nursyam Nursyam
Published: May 2022

Media sosial telah membangun “dunia baru” yang bisa dijelajahi oleh siapa saja dan dapat membuat konten dan “cerita” mereka sendiri. Dunia baru media sosial memberikan realitas paradoksal terkait pemanfaatannya pada anak remaja. Sejatinya media sosial harus memberikan dampak positif, tetapi justru anak remaja hanya terdampak negatif, yaitu lupa waktu dan lupa bahwa mereka masih anak sekolah. Akibat negatif media sosial tersebut tidak mengecualikan anak-anak di Desa Pattonggko Kecamatan Sinjai Tengah Kabupaten Sinjai. Oleh karena itu, dalam situasi dan kondisi demikian peran orang tua dalam menangani dampak negatif media sosial di Desa Pattongko Kecamatan Sinjai Tengah sangat dibutuhkan. Penelitian ini bertujuan untuk mengetahui dampak yang ditimbulkan oleh media sosial pada remaja sekaligus peran orang tua dalam menangani dampak negatif media sosial pada remaja. Jenis penelitian menggunakan penelitian kualitatif dengan pendekatan fenomenologis dan bertempat di Desa Pattongko Kecamatan Sinjai Tengah Kabupaten Sinjai. Pengumpulan data menggunakan teknik observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa dampak media sosial pada remaja terdiri atas dua bahagian besar, yaitu dampak positif dan dampak negatif. Dampak negatif akibat media sosial ditangani oleh para orang tua remaja dengan melakukan beberapa upaya, yaitu melakukan pembinaan, melakukan pendampingan, dan membangun sinergitas antarorang tua.
PENGARUH MANAJEMEN KONFLIK TERHADAP KINERJA PEGAWAI PADA LPP TVRI STASIUN KALIMANTAN SELATAN
Authors: Humaidi Muhammad Agus , Musliadi Musliadi
Published: May 2022

Penelitian ini bertujuan untuk mengetahui manajemen konflik dan kinerja pegawai di LPP TVRI Stasiun Kalimantan Selatan, selain untuk mengetahui pengaruh manajemen konflik terhadap kinerja pegawai di LPP TVRI Stasiun Kalimantan Selatan. Metode yang digunakan adalah pendekatan penelitian kuantitatif dan instrumen penelitian dengan kuesioner yang dianalisis dengan Chi Square Goodness Of Fit dan Regresi Linier Sederhana. Hasil penelitian menunjukkan bahwa manajemen konflik pegawai di LPP TVRI Stasiun Kalimantan Selatan termasuk dalam kategori cukup baik. Sedangkan kinerja pegawai di LPP TVRI Stasiun Kalimantan Selatan berada pada kategori baik. Selain itu, terdapat pengaruh yang signifikan antara manajemen konflik terhadap kinerja pegawai di LPP TVRI Stasiun Kalimantan Selatan.
An Evaluation of Autoencoder Neural Network Role in Iot Edge Computing
Authors: TEKİN KAKIZ Aygül , TALHA KAKIZ Ar. Gör. Muhammet , COBAN Ramazan
Published: May 2022

With rapid increase in numbers of connected Internet of Things (IoT) devices, huge amount of data is generated and sent to Cloud Computing nodes to be stored and analysed. Cloud computing is an effective paradigm for storage and data analysis since IoT devices are restricted machines in terms of energy, computation power and storage. Despite the advantages of cloud computing, it causes network congestion and latency due to generally located at long distances. Besides, security and privacy issues are also drawbacks of the cloud. Edge Computing is a promising system to eliminate the flaws of cloud computing by getting computational power closer to data sources. Edge Computing has more computation power than IoTD but lower than cloud computing. Although the deficiencies of cloud computing decrease with edge computing, they are not completely eliminated because computation intensive tasks still should be sent from edge to cloud resources. Since Autoencoder is an unsupervised neural network technique that learns to efficiently encode/compress input data and learns to efficiently decode it as closer to the original input, it is an ideal candidate for reducing data traffic and latency in edge computing and cloud computing. Instead of sending all data to the cloud, the data of bottleneck hidden layers in which input data is encoded are sent from edge to cloud. The compressed data is decoded on the cloud to reconstruct the original input to be analysed and learnt. In this paper, we investigate the studies using AE in edge computing and their performance implications with respect to network traffic and delay. The performance results of the proposals that have used autoencoder between edge and cloud layer are evaluated in terms of eliminating big data, network traffic and accuracy.
A comparative study of performance in three bachelor’s degrees of information
system (IS) streams: Implications on delivery
Authors: Eyitayo Oduronke T. , Rammidi Goaletsa
Published: May 2022

This study describes the difference between student performances across three
Information System streams (Business Information Systems, Computer Information Systems,
and Information Management) in the University of Botswana. A quantitative approach was
employed utilising Chi-square to test significance, as well as means, frequencies, and
charts to help understand the performance within the three streams. The purpose of this
study was to investigate the relationships between final marks and the streams in
seventeen common courses. The data consists of 3119 records of students’ final marks
spanning three academic years. The results show that there is significant difference in
student performance across the three streams, differences within the individual courses,
as well as differences in overall performance for course groupings, none of which are
biased by the student belonging to the department that taught the course. The study
contributes knowledge in shaping IS curriculum development and highlights the importance
of catering for different categories of students taking same courses in
multi-disciplinary collaborative environment.
Aneurysm of the membranous septum. A potential cause of sudden death
Authors: Kothari Rahul , Zare Pranita , Vaideeswar Pradeep
Published: May 2022

Aneurysms of the membranous septum are extremely rare malformations that are usually asymptomatic. However, they have the potential for varied complications including sudden cardiac death. Reported here is a case of sudden death in a 25-year-old woman. A medico-legal autopsy revealed a large aneurysm of the membranous septum. It is speculated that the infiltration of fibrous tissue from the aneurysm into the atrioventricular conduction axis may have led to the observed mortality.
Incidental finding of a primary cardiac leiomyosarcoma originating from the right atrium of a 25-year old male. A Case Report
Authors: M. Donato Anna Katrina , S. Templo Felipe, Jr.
Published: May 2022

BACKGROUND: Primary cardiac tumors are extremely rare and encompass less than 1% of all documented cardiac neoplasms with a majority of these being benign. Among the malignant primary cardiac tumors, leiomyosarcoma accounts for only 1% all documented cases and it commonly involves the left atrium. We present a rare case of a primary cardiac leiomyosarcoma originating from the right atrium of a 25-year-old male.CASE: The patient was a 25-year-old Filipino male who presented with progressive dyspnea, orthopnea, and a large, heterogenous, ovoid mass attached at the atrial septum measuring 7.0 cm x 3.16cm in widest dimension on 2D-echocardiography. The patient eventually underwent emergency excision of the right atrial mass. Post-operatively, the patient did not tolerate the procedure and ultimately expired after attempts of cardiopulmonary resuscitation.HISTOPATHOLOGIC FINDINGS: Microscopic sections show a spindle-cell neoplasm with irregular fascicles and whorled configurations interspersed with inflammatory cells in a fibromyxoid stroma. The spindle cells showed pleomorphic, hyperchromatic nuclei, some with prominent nucleoli and eosinophilic cytoplasm. Mitotic figures, areas of necrosis, and hemorrhages are seen. Immunohistochemical studies show reactivity of the neoplastic cells to Smooth Muscle Actin (SMA) and Vimentin. Masson’s Trichrome Stain is also positive. S100, Myogenin, and Desmin show non-reactivity. Proliferation index is at 15-20% using Ki-67 and p53.CONCLUSION: Primary cardiac leiomyosarcoma is an extremely rare tumor occurring in less than 1% of all documented primary malignant cardiac neoplasms. Metastases originating from other sites are more common. It has an aggressive clinical course and a dismal prognosis with features overlapping that of other soft tissue neoplasms. Hence, additional immunohistochemical studies and special stains should be employed to arrive with a definitive diagnosis so that appropriate management and intervention may be offered to affected patients.
Características radiológicas de las lesiones del tórax
Authors: Rey Severino , Huerta Brunel Juan Esteban , Pérez Caballero Inmaculada Concepción , Cárdenas Carlos
Published: May 2022

Las neoplasias torácicas pueden ser benignas y malignas, y afectar a cada uno de los componentes del tórax, siendo las más frecuentes las metástasis derivadas de las propias neoplasias primarias y de las neoplasias extratorácicas. Las imágenes constituyen un aspecto integral en la evaluación de pacientes con neoplasias en el tórax que por lo general provocan quejas indolentes o inespecíficas. La evaluación comienza con una radiografía de tórax y puede ser complementada por técnicas de imágenes más avanzadas con tomografía computarizada, resonancia magnética y Tomografía por Emisión de Positrones con Fluorodesoxiglucosa. El radiólogo es responsable de distinguir los procesos neoplásicos de las complicaciones asociadas y secundarias al tratamiento. El análisis radiográfico de las anomalías torácicas constituye un desafío dada la superposición de numerosas estructuras anatómicas de diversas morfologías y densidades radiológicas.
A IMPORTÂNCIA DA AFETIVIDADE NO ENSINO DE CIÊNCIAS E MATEMÁTICA
Authors: Silva Rafael Soares
Published: May 2022

O presente artigo teve por finalidade abordar a importância da afetividade no Ensino de Ciências e Matemática, uma vez que se constitui como um segmento de pesquisa que carece de debate em nível nacional, bem como a ausência de estudos relacionados. Nessa perspectiva, foi realizado um levantamento bibliográfico nas bases de dados: Periódicos Capes, Scielo, Google Acadêmico e Biblioteca Online, a partir da busca dos seguintes descritores:  afetividade, cognição, aprendizagem, ensino, ciências naturais e matemática e elaborada uma síntese de conhecimento. Obteve-se como resultados que o ensino tanto das ciências naturais quanto exatas ainda apresenta um padrão formalístico, centrado no/a professor/a, no livro didático, em aulas expositivas e exercícios. Em contraponto, a cada dia é reforçada a vertente da pedagogia afetiva, a qual à afetividade é vista como um elemento importante para construção do saber matemático e científico. Em síntese, o estudo reafirmou a indissociabilidade entre afeto e cognição no cenário educacional, apontando para a importância da formação do professor pautada nas discussões de caráter metacognitivo como possibilidade para a reflexão e tomada de consciência da relação mútua entre as diferentes variáveis que contribuem para esta aprendizagem.
Level of Depression among Elderly People and Coping Methods Adopted by them in a Selected Community of West Bengal
Authors: Banerjee Aratrika
Published: May 2022

A descriptive study was conducted to identify the level of degression among the elderly people and the coping methods adopted by them in a selected community of West Bengal and to find the association between level of depression and selected variables as well as to find the co-relation between level of depression and coping methods. A descriptive corelational research design was used and data were collected by survey approach; 80 samples were selected by purposive sampling technique and data were collected from them using structured questionnaire. The study revealed that majority of the samples (56.2%) had moderate depression and maximum of the samples (62.5%) had partially effective coping. There was significant association between level of depression and educational status, marital status and family income per month of the elderly people. The findings also depicted that there was low negative co-relation(r=-0.34) between level of depression and coping methods among the elderly people.
Knowledge and Practice of Rural and Urban Mothers regarding Prevention of Common Accidents Among Children Under Five Years of Age: A Comparative Study
Authors: Hazarika Anjali , Sarma Jogesh
Published: May 2022

In this study, a descriptive research approach was used to assess the knowledge and practices of urban and rural mothers regarding prevention of common accidents among children under five years of age. Multi-stage random sampling technique with a structured interview schedule was used to collect data from the samples. Result of the 200 samples revealed that the highest knowledge score of 14.51 was found in urban mothers with SD of 2.018 as against a score of 14.47 in rural mothers with SD of 2.213. The highest practice score of 14.24 found in urban mothers with SD of 1.980 and 14.23 in rural mothers with SD of 1.890. In chi-square test, no significance associations were found between knowledge of mothers with socio-demographic variables, but significant association was found between practices of both rural and urban mothers with education, family monthly income and number of children in the family at 0.05 levels.
Effect of Structured Teaching Programme on Prevention of Sexually Transmitted Infections in Terms of Knowledge and Attitude among Teachers of Rohtak (Haryana)
Authors: Kumari Kamlesh
Published: May 2022

A pre-experimental study was conducted to evaluate the effectiveness of structured teaching programme (STP) on prevention of Sexually transmitted infections (STIs) in terms of knowledge and attitude among teachers of selected School at Rohtak, Haryana. A total of 40 teachers were selected by Convenience sampling technique. A structured questionnaire was used to collect the data. The mean pre-test knowledge score was 18.15 which increased to 28.32 in post-test and the mean pre-test attitude score was 106.35 which increased to 118.6 in post-test and there was significant association of post-test knowledge scores of subjects with selected variables such as type of family and previous information regarding STIs but there was partial significant relationship of knowledge of school teachers with selected variables. The study concludes that STP was significantly effective in enhancing the knowledge and change in attitude of subjects irrespective of sample characteristics regarding prevention of STIs.
KANT – FREGE VE WITTGENSTEIN’DA ANLAM PROBLEMİ ÜZERİNE
Authors: Erat Damla
Published: May 2022

Dilin kökenine dair birbirinden farklı birçok teori olmakla birlikte, öncelikle dilin insanlar arası iletişim, ifade en önemlisi de anlam taşıyıcı olduğunu belirtmekte yarar vardır. Bundan dolayı toplumun birlikte yaşayabilmesi, kendi kendini koruyup geliştirmesi açısından dilin etkileri konusunda geçmişten günümüze birçok filozof ve düşünür çeşitli incelemeler yapmışlardır. Dil felsefesinde tartışılan başlıca konular anlam, gönderge, düşünce-dil ilişkisi söz edimleri belirli betimlemeler gibi konulardan bahsedilebilir. Dil hususunda ele alınan en önemli konuların başında da anlam konusu gelmektedir. Dilde yer alan ifadelerin bir bütün olarak ifade ettiği anlamın mahiyeti, göreceliği, neliği ve anlama ait birçok husus değerlendirildiğinde anlamın bir “problem” olarak karşımıza çıktığı görülmektedir. Çalışmamızda anlam problemi Kant, Frege ve Wittgenstein ’in düşünceleri çerçevesinde ele alınmıştır. Seçilen bu üç ismin birbirine benzer ve farklı yönlerden anlam problemine dair geliştirdikleri fikirler sunulurken, öncesinde felsefi literatürde anlam’ın çerçevesi çizilmeye çalışılmış, ardından görüş ve teoriler literatürde yer alan çeşitli örneklerle birlikte sunulmuştur.
Some results on Steiner decomposition number of graphs
Authors:   Associate Professor, Department of Mathematics, Nesamony Memorial Christian College, Marthandam, Tamilnadu-629165, India, Merly E.Ebin Raja , M Mahiba ,   Research Scholar (Reg. No: 20213112092013), Department of Mathematics, Nesamony Memorial Christian College, Marthandam, Tamilnadu-629165, India. Affiliated to Manonmanium Sundaranar University, Abishekapatti, Tirunelveli, Tamilnadu-627012, India.
Published: May 2022

Let G be a connected graph with Steiner number s(G). A decomposition π = {G1,G2, ...,Gn} is said to be a Steiner decomposition if s(Gi) = s(G) for all i (1 ≤ i ≤ n). The maximum cardinality obtained for the Steiner decomposition π of G is called the Steiner decomposition number of G and is denoted by πst(G). In this paper we present a relation between Steiner decomposition number and independence number of G. Steiner decomposition number for some power of paths are discussed. It is also shown that given any pair m, n of positive integers with m ≥ 2 there exists a connected graph G such that s(G) = m and πst(G) = n.
Determination of antimicrobial resistance profiles and molecular detection of carbapenemases in Gram negative bacilli isolated from different sources in Mosul city, Iraq
Authors:   Biophysics Dept. /College of Science / Mosul University / Mosul / Iraq, Al-Hasso Dr. Mahmood Z.
Published: May 2022

The objectives of the present study were to determine the antimicrobial resistance profiles and evaluate the occurrence of metallo-β-lactamase and other carbapenemases in Gram-negative bacilli isolated from different sources in Mosul city. Bacterial isolates were recovered from clinical, veterinary, and environmental specimens and samples. Pure isolates were identified and tested for determination of their antimicrobial resistance profiles using disk diffusion method. Phenotypic detection of metallo-carbapenemase-producing bacteria was conducted using combined disk method. Imipenem-resistant strains were subjected to molecular detection of carbapenemase genes ( bla VIM , bla KPC , bla NDM , bla OXA-48 , bla IMP ) using multiplex PCR. Three hundred and ninety three bacterial isolates were recovered from (365) specimens and samples, 246 isolates (62.6%) were multi-drug resistant (MDR). The isolates were highly resistant to amoxicillin-clavulanic acid, tetracycline, cefotaxime, sulfamethoxazole, and ceftriaxone (96.7%, 65.1%, 64.1% and 63.6%, and 63.1% respectively). Carbapenems were the most effective antimicrobials used, the percentages of isolates resistant to imipenem and meropenem were (12.5%), and (10.7%), respectively. The study found that (7.4%) of the isolates were metallo-carbapenemase producers, phenotypically. Multiplex PCR results revealed that 47/49 (95.5%) imipenem-resistant isolates were positive for PCR detection test, isolates with double genes ( bla KPC + bla VIM and bla KPC + bla NDM ) were the most prevalent (n=9; 18.4% for each), followed by bla KPC and bla NDM (n=8; 16.3% for each), and bla VIM (n=6; 12.2% ). Three isolates (6.1%) were positive for bla IMP and two others (4.1%) were positive for each of bla OXA-48 and bla KPC + bla OXA-48 , while two isolates (4.1%) gave a negative result for the test. In conclusion, carbapenemase genes were detected in the environmental isolates as well as in the clinical and veterinary ones, which might suggest the transmission of carbapenemase-producing bacteria and /or resistance determinants from clinical and veterinary settings to the environment.
A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction
Authors:   Computer Engineering Department National Institute of Technology, Kurukshetra-136119 INDIA, Manpreet Manpreet , Chhabra Jitender Kumar ,   Computer Engineering Department National Institute of Technology, Kurukshetra-136119 INDIA
Published: May 2022

Software testing is a very important part of the software development life cycle to develop reliable and bug-free software but it consumes a lot of resources like development time, cost, and effort. Researchers have developed many techniques to get prior knowledge of fault-prone modules so that testing time and cost can be reduced. In this research article, a hybrid approach of distance-based pruned classification and regression tree (CART) and k- nearest neighbors is proposed to improve the performance of software fault prediction. The proposed technique is tested on eleven medium to large scale software fault prediction datasets and performance is compared with decision tree classifier, SVM and its three variations, random forest, KNN, and classification and regression tree. Four performance metrics are used for comparison purposes that are accuracy, precision, recall, and f1-score. Results show that our proposed approach gives better performance for accuracy, precision, and f1-score performance metrics. The second experiment shows a significant amount of running time improvement over the standard k-nearest neighbor algorithm.
Real time obstacle motion prediction using neural network based extended Kalman filter for robot path planning
Authors:   Department of Electrical and Electronics Engineering, Government Engineering College, Thrissur, Affiliated to APJ Abdul Kalam Technological University, Kerala, India,, Hassan Najva , Saleem Abdul ,   Department of Electrical and Electronics Engineering, Government Engineering College, Thrissur, Affiliated to APJ Abdul Kalam Technological University, Kerala, India,
Published: May 2022

Navigation in dynamic environments for mobile robots is a difficult problem as it involves estimating the path of moving obstacles. The measured data usually contains a bias and noise in addition to its true value. Based on a stacked denoising autoencoder (SDAE), the enhanced Kalman filter developed in this paper can estimate the obstacle position from any type of noisy input. The extended Kalman filter's ability to predict an error-free path is impacted by the measurement noise covariance matrix employed. The SDAE is a neural network topology based on deep learning that can be used to determine the optimum covariance matrix. Both Adam and stochastic gradient learning algorithms are used to train the neural network. The robot's path is re-planned based on the predicted obstacle path to ensure safe navigation. MATLAB-based numerical simulations are used to demonstrate the utility and superiority of the proposed method over the traditional Kalman filter and Particle filter methodologies. The simulation results show that in the presence of any sort of noise, the proposed technique is exceptionally durable and reliable. The simulation findings also reveal that when it comes to denoising the measured data, the stacked denoising autoencoder with Adam optimizer is more efficient than the stochastic approach. The performance of the developed algorithm is validated in MATLAB simulated environments, and it can be extended for navigation tasks. In terms of computation time and robustness in closely spaced obstacles, simulation experiments demonstrated that the path planning using the proposed algorithm outperforms the hybrid A star, artificial potential field, and decision algorithms.
Maximum entropy model-based spatial sinkhole occurrence prediction in Karapınar, Turkey
Authors:   Department of Geomatic Engineering, Konya Technical University, 42250 Konya, Turkey, Sarı Fatih , Yalçın Mustafa ,   Department of Geomatic Engineering, Afyon Kocatepe University, 03200 Afyonkarahisar, Turkey
Published: May 2022

Sinkholes in Karapınar and their rapidly increasing occurrence rate are considered one of the main hazards that threaten arable lands and human life. The sudden occurrence and unavoidable characteristics of sinkholes make them more dangerous and challenging to avoid. More than 300 sinkholes have been recorded in the Karapınar region of Konya province in Turkey. There are intensive agricultural activities in the region, and therefore over 60,000 water wells are used to meet the demand. Thus, drought, the effects of climate change and decreasing precipitation rate reveal stress on sinkhole occurrence due to the geological structure of the region and its high tendency to sinkholes since ancient times due to its volcanic history. The primary purpose of this study is to predict possible sinkhole occurrence probabilities in Konya, Karapınar region based on historical occurrences and to report to the authorities to raise awareness about this problem. The Maximum Entropy (MaxEnt) model is applied for sinkhole susceptibility mapping by evaluating 17 variables affecting sinkhole occurrence in meteorological, topographic, environmental, and geological aspects. The results indicated that 458.52 km2 (2.48%) of the study area is highly susceptible to sinkholes. 100 sinkholes were assigned as sample data, and 45 sinkholes were set as test data for the MaxEnt model. The AUC values of training data with 0.978 and test data with 0.963 were calculated where a good correlation was provided. The variables Annual Mean Temperature, Precipitation Seasonality (Coefficient of Variation) Geology, and precipitation, which are mostly responsible for sinkhole formations, have been calculated.
Assessment of Health Risk due to Pb, Cd, and Cr Concentrations in Imported Cheese Samples in Iraq Markets
Authors:   Department of Physics, Faculty of Science, University of Kufa, Iraq, Abojassim Ali Abid , Muneam Ruaa R. ,   Department of Physics, Faculty of Science, University of Kufa, Iraq
Published: May 2022

The aim of this study is to determine three heavy metals (Pb, Cd, and Cr) concentrations in cheese samples in Iraq markets that are produced in Iran and Turkey. The concentrations of Pb, Cd, and Cr were measured using atomic absorption spectroscopy. Human health risk parameters, such as Estimated Daily Intake (EDI), Target Hazard Quotient (THQ), Hazard Index (HI), and Carcinogenic risk (CR) due to heavy metals were calculated in all cheese samples of the present study. The average value concentrations of Pb, Cd, and Cr in cheese samples made manufactured in Iran were 4.33±0.57 mg/kg, 0.135±0.03, mg/kg, and 0.183±0.12 mg/kg, respectively. While those which were made in Turkey, the values were found to be 3.89±0.63 mg/kg, 0.167±0.032 mg/kg, and 0.105±0.07 mg/kg, respectively. The average values of HI in Iranian and Turkish cheese samples were 0.526±0.07 and 0.483±0.26, respectively. While the average values of CR×10-6 for Pb, Cd, and Cr in Iranian cheese samples were 0.006±0.0007, 1.13±0.0007, and 0.0056±0.7, respectively. But in Turkish cheese samples were 0.005±0.0008, 0.37±0.07, and 0.65±0.4, respectively. The heavy metal concentrations in the present study were found to be of no statistical significance, compared to the Iranian and Turkish cheese samples, where P-value was (P > 0.05). Most values for Pb, Cd and Cr concentrations were found to be higher than the allowed limits according to EU Regulations, while the health risk parameters were within the accepted worldwide average limits. Therefore, it can be concluded that most cheese samples have no health risks by consuming this cheese by consumers in Iraq.
Online Public Shamming using Machine Learning
Authors: Noopura Vaidya  , Shivani Chandak  , Shubham Dwivedy  , Aatif Malik
Published: May 2022

Social Media Platforms involve not millions but billions of users around the globe. Interactions on these easily available social media sites like Twitter have a huge impact on people. Nowadays, there is undesirable negative impact for daily life. These hugely used major platforms of communication have now become a great source of dispersing unwanted data and irrelevant information, Twitter being one of the most extravagant social media platforms in our times, the topmost popular microblogging services is now used as a weapon to share unethical, unreasonable amount of opinions, media. In this proposed work the dishonoring comments, tweets towards people are categorized into 9 types. The tweets are further classifying into one of these types or non- shaming tweets towards people. Observation says out of the multitude of taking an interested clients who posts remarks on a specific occasion, lions share is probably going to modify the person in question. Moreover, it is not the non-shaming devotee who checks the increment quicker but of shaming in twitter.