bluuebunny/crossref_metadata_2025 huggingface dataset:
Liraite, ideally NaCa2Mn2[Fe3+Fe2+]Mn2(PO4)6(H2O)2, a new phosphate mineral of the wicksite group from the Ceferino Namuncurá pegmatite, Córdoba, Argentina
Authors: Biglia Marco E. , Cooper Mark A. , Grew Edward S. , Yates Martin G. , Sfragulla Jorge A. , Guereschi Alina B. , Márquez-Zavalía María F. , Galliski Miguel A.
Published: September 2021

Liraite, ideally NaCa2Mn2[Fe3+Fe2+]Mn2(PO4)6(H2O)2, is a new mineral found in the Ceferino Namuncurá pegmatite, Pocho Department, Córdoba province, Argentina. It occurs in ellipsoidal nodules up to 20 cm in diameter in the intermediate zone of a Muscovite-Rare Element class pegmatite. Secondary phosphates, such as varulite, robertsite, fluorapatite, phosphosiderite, and Sr-rich metaswitzerite, together with minor quartz in veinlets, are associated minerals. Liraite is interpreted to have formed by reaction of phosphate minerals with Na-bearing hydrothermal fluids. It is dark brown with greenish hues (nearly black) in massive aggregates and dark olive green in translucent slices with a dark brownish green streak and a vitreous luster. It is brittle with an irregular fracture, one very good cleavage, and a good cleavage orthogonal to the very good cleavage. The Mohs hardness is 5, and the measured and calculated densities are 3.52(1) and 3.529(1) g/cm3, respectively. In transmitted light it is pleochroic X = Y = olive, Z = yellowish brown with X = Y > Z and optical orientation X = 2V(calc.) = 69.2°. The refractive indicies measured with monochromatic light (λ = 589 nm) are α = 1.732 (3), β = 1.739 (3), γ = 1.754 (3). Liraite is orthorhombic (Pcab) and has unit-cell parameters a = 12.608(6) Å, b = 12.918(6) Å, c = 11.737(4) Å, V = 1911.6(14) Å3, Z = 4. The six strongest reflections in the X-ray powder diffraction pattern are as follows: [d in Å, (I), (hkl)] 2.7452, 100, (421); 2.8563, 65, (014); 2.9266, 49, (004); 2.7061, 30, (412); 2.0966, 29, (334); 2.7693, 26, (402). The crystal structure was refined to an R index of 1.94% based on 2910 observed (>4σF) reflections measured with MoKα X-radiation. Chemical analysis by electron microprobe of the structure crystal (holotype specimen) gave Na2O 1.58, FeO 5.29, Fe2O3 11.45, CaO 10.52, MgO 0.77, MnO 24.00, P2O5 41.55, SrO 0.72, ZnO 0.19, H2O (calc.) 3.50, total 99.57 wt.% where water was calculated from the crystal-structure analysis and the Fe3+/Fe2+ ratio was determined by charge balance. The empirical formula calculated on the basis of 26 oxygen atoms is (Na0.53□0.47)Σ1.00(Ca1.93Sr0.07)Σ2.00(Fe3+1.48Fe2+0.76Mn3.48Mg0.20Zn0.02)Σ5.94P6.02O24(H2O)2, ideally NaCa2M(1)Mn2M(2)[Fe3+Fe+2]M(3)Mn2(PO4)6(H2O)2. The Gladstone-Dale relation gives a compatibility index of 1 – (KP/KC) = 0.010 (superior). This new member of the wicksite group is Mn-rich, and, like bederite, has Mn dominant at the M(1) and M(3) sites. However, the Na site in liraite is Na-dominant with M(2)[Fe3+Fe2+], whereas bederite is □-dominant with M(2)Fe3+2. Liraite has a very low MgO content, and even with all available Mg assigned to the M(2) site, Fe2+ > Mg at M(2). Consequently, liraite is the first wicksite-group mineral with endmember M(2) composition [Fe3+Fe2+].
Isolation and characterization of new phenolic siderophores with antimicrobial properties from Pseudomonas sp. UIAU-6B
Authors: Oluwabusola Emmanuel Tope , Adebisi Olusoji O , Reyes Fernando , Acquah Kojo S , De La Cruz Mercedes , Mweetwa Larry L , Rajakulendran Joy E , Warner Digby F , Hai Deng , Ebel Rainer , Jaspars Marcel
Published: September 2021

Five new phenolic siderophores 1–5 were isolated from the organic extract of a culture broth in a modified SGG medium of Pseudomonas sp. UIAU-6B, obtained from sediments collected from the Oyun river in North Central Nigeria. The structure of the new compounds, pseudomonin A–C (1–3) and pseudomobactin A and B (4 and 5) isolated alongside two known compounds, pseudomonine (6) and salicylic acid (7), were elucidated based on high-resolution mass spectrometry, 1D and 2D NMR analyses. The absolute configuration of the threonine residue in compounds 1–5 was determined by Marfey analysis. The antimicrobial evaluation of compound 4 exhibited the most potent activity against vancomycin-sensitive Enterococcus faecium VS144754, followed by 3 and 5, with MIC values ranging from 8 to 32 µg/mL. Compounds 2 and 3 exhibited moderate activity against Mycobacterium tuberculosis H37Rv, with MIC values of 7.8 and 15.6 µg/mL, respectively. Plausible biosynthetic hypotheses toward the new compounds 1–5 were proposed.
Synergy of a Scientific research Lysakova I.P. Elected works in philology and linguistics St. Petersburg: Publishing house RGPU im. A.I. Gertsena, 2021.
Authors: Хромов С.С.
Published: September 2021

В статье представлен авторский взгляд на сборник, посвященный юбилею И.П. Лысаковой. Автор отмечает необычную композицию и структуру сборника, особенности наполнения, обращается к личности юбиляра и ее основным научным достижениям.

The paper present author’s view on the book dedicated Dr Lysakova anniversary. Author talks about unusual structure and composition of the book, its content, refers to the personality of Dr Lysakova and her philological achievements.
Pengembangan Situs Batu Berani dengan Menggunakan Konsep Pariwisata Berkelanjutan dan Online Marketing Campaign di Desa Botubarani
Authors: Suma Muhamad Danial , Manyoe Intan Noviantari , Duwingik Rohmat Setiawan , Boften Fikri , Srikandi Waode Emiria , Marfian Fandji
Published: September 2021

Desa Botubarani memiliki keanekaragaman geologi yang dapat dikembangkan menjadi destinasi wisata. Melalui survei yang dilakukan tim PHP2D, Desa Botubarani memiliki potensi wisata geologi yaitu situs Batu Berani. Tujuan penulisan artikel ini adalah untuk mengidentifikasi potensi yang dapat dilakukan sebagai upaya perencanaan dan pengembangan wisata yang akan memberikan dampak terhadap peningkatan pendapatan untuk masyrakat di Desa Botubarani. Hasil yang diperoleh menunjukkan bahwa Desa Botubarani memiliki potensi geologi situs Batu Berani yang dapat dikembangkan dengan konsep pariwisata berkelanjutan. Program yang diterapkan oleh tim PHP2D membawa perubahan kondisi situs yang ada di Desa Botubarani baik dari segi infrastruktur berupa QR Qodes, papan informasi situs batuberani dan hiu paus serta peningkatan kreatifitas masyarakat dengan adanya sosialisasi pembuatan kerajinan tangan dari bahan-bahan di alam.
Angiotensin-converting enzyme inhibition: beyond blood pressure control – the role of zofenopril
Authors: Lazarev P. О.
Published: September 2021

The article highlights the main provisions of the review, which investigated the scope of clinical use of ACE inhibitors, in particular zofenopril, outside the control of blood pressure. Generalized clinical data are presented, indicating the benefits of its use in various diseases, in particular for the treatment of arterial hypertension, progression of chronic kidney disease, myocardial infarction, congestive heart failure and type 2 diabetes mellitus
Drug-induced liver injury associated with the use of nonsteroidal antiinflammatory drugs
Authors: Bentsa T. M.
Published: September 2021

Nonsteroidal antiinflammatory drugs (NSAIDs) are effective drugs used widely in clinical practice. NSAIDs are reversible inhibitors of cyclo-oxygenase, mainly used for the symptomatic relief of pain, whether rheumatologic, traumatic, infectious or episodic. However, the appointment of NSAIDs must be considered risk factors for side effects.Drug-induced liver injury associated with the use of NSAIDs does not have any specific manifestations and covers the symptoms that occur in a variety of liver lesions, from asymptomatic increase in transaminases to the development of fulminant liver failure. The need for early diagnosis, a difficult differential diagnostic search, and the absence of specific laboratory tests make this pathology quite difficult for a practicing physician. Treatment is based on the abolition of NSAIDs, which caused liver damage, and the appointment of symptomatic therapy. Preventive measures are reduced to compliance with the dose, multiplicity, ways of drug administration, the absence of polypragmasia, careful collection of medical history, analysis of risk factors before prescribing a drug and monitoring the patient in the dynamics.
Right ventricular arrhythmogenic cardiomyopathy
Authors: Tseluyko V. Y. , Butko O. O.
Published: September 2021

The article describes the questions of prevalence, etiology and pathogenesis, clinical presentation, instrumental diagnostics of arrhythmogenic right ventricular cardiomyopathy (ARVC). Diagnostic criteria, sudden cardiac death risk stratification in patients with ARVC and basic approaches in the treatment of this disease are proposed.
Drugs that reduce the motility of the gastrointestinal tract
Authors: Bilovol O. M. , Knyazkova I. I.
Published: September 2021

Spastic reactions of smooth muscles of visceral organs play an important role in the pathogenesis of many diseases, the main drugs for relief of which are antispasmodic drugs. The article describes in detail the mechanisms of development of spastic abdominal pain and possible ways to correct it. The mechanisms of influence of the main myotropic antispasmodics on the gastrointestinal tract are given. Particular attention is paid to the peculiarities of pharmacodynamics, pharmacokinetics, listed indications, contraindications, features of drug interaction.
Cognitive impairment in hypertensive patients: methods for the diagnosis and prevention
Authors: Skybchyk V. А. , Pylypiv О. S.
Published: September 2021

The review presents modern views on the problem of cognitive inpairment in hypertensive patients, provides examples of the most common screening scales for the primary diagnosis of cognitive disorders and dementia, and confirms the need for early detection and prevention of these disorders.
Investigating the Relationship between (3200) Phaethon and (155140) 2005 UD through Telescopic and Laboratory Studies
Authors: Kareta Theodore , Reddy Vishnu , Pearson Neil , Sanchez Juan A. , Harris Walter M.
Published: September 2021

The relationship between the near-Earth objects (3200) Phaethon and (155140) 2005 UD is unclear. While both are parents to meteor showers (the Geminids and Daytime Sextantids, respectively) and have similar visible-wavelength reflectance spectra and orbits, dynamical investigations have failed to find any likely method to link the two objects in the recent past. Here we present the first near-infrared reflectance spectrum of 2005 UD, which shows it to be consistently linear and red-sloped, unlike Phaethon’s very blue and concave spectrum. Searching for a process that could alter some common starting material to both of these end states, we hypothesized that the two objects had been heated to different extents, motivated by their near-Sun orbits, the composition of Geminid meteoroids, and previous models of Phaethon’s surface. We thus set about building a new laboratory apparatus to acquire reflectance spectra of meteoritic samples after heating to higher temperatures than available in the literature to test this hypothesis and were loaned a sample of the CI chondrite Orgueil from the Vatican Meteorite Collection for testing. We find that while Phaethon’s spectrum shares many similarities with different CI chondrites, 2005 UD’s does not. We thus conclude that the most likely relationship between the two objects is that their similar properties are only by coincidence as opposed to a parent-fragment scenario, though the ultimate test will be when JAXA’s DESTINY+ mission visits one or both of the objects later this decade. We also discuss possible paths forward to understanding Phaethon’s properties from dynamical and compositional grounds.
Late toxicities in locally advanced head and neck squamous cell carcinoma treated with intensity modulated radiation therapy
Authors: Muzumder Sandeep , Srikantia Nirmala , Udayashankar Avinash H. , Kainthaje Prashanth Bhat , Sebastian M. G. John , Raj John Michael
Published: September 2021

Purpose: The study aims to report late toxicities in locally advanced head-and-neck squamous cell carcinoma (LAHNSCC) treated with intensity-modulated radiation therapy (IMRT).Materials and Methods: A retrospective study was conducted on 103 patients of LAHNSCC treated with IMRT. We analyzed the cumulative incidence of late xerostomia, dysphagia, and aspiration at an interval of 6-month, 1-year, 2-year, and 3-year from the start of IMRT.Results: At a median follow up of 4.2 years (interquartile range, 3.5 to 6 years), the cumulative incidence of grade ≥2 late xerostomia was 5.5%, dysphagia was 6.9%, and aspiration was 11.1%. Logistic regression showed that Dmean of ≥26 Gy to parotids had higher risk of xerostomia (hazard ratio [HR] = 5.19; 95% confidence interval [CI], 1.90–14.22; p = 0.001). Late dysphagia was associated with Dmean of ≥45 Gy to pharyngeal constrictors (PC) (HR = 7; 95% CI, 1.84–26.61; p =0.004), ≥55 Gy to larynx (HR = 3.25; 95% CI, 1.15–9.11; p = 0.025), and adjuvant RT (HR = 5.26; 95% CI, 1.85–14.87; p = 0.002). Aspiration was associated with Dmean of ≥45 Gy to larynx (HR = 6.5; 95% CI, 1.93–21.88; p = 0.003), Dmean of ≥55 Gy to PC (HR = 3.54; 95% CI, 1.25–9.98; p = 0.017), and patients having late dysphagia (HR = 4.37; 95% CI, 1.55–12.31; p = 0.005).Conclusions: IMRT is a feasible radiation delivery technique in LAHNSCC with a decreased late toxicity profile.
Effect of Cadmium Chloride on the Histological Structure of Lung in Adult Male Mice with and without Parsley Oil
Authors: Alsammak Maha
Published: September 2021

This study is to detect the toxic effect of cadmium chloride on the histological structure of the lung and the effect of parsley oil to amilorate these changes 
In this experiement 40 adult male mice were divided into four groups. Goup A (control group) in this group animals were injected with the normal saline intraperitoneally single daily dose for 30 days.
Group B injected intrapertioneally with cadmium chloride single daily dose 3.5 mg/kg body weight for 30 days.
Group C injected intraperetonially with cadmium chloride in a dose of 3.5 mg/kg body weight. Intragastric tube was put to recieve parsley oil in a dose of 0.5 ml/kg body weight prior to cadmium injection. The two drugs were given for 30 days.
Group D recieved 0.5 ml/kg body weight by intragastric tube of parsley oil for 30 days.
At the end of this experiement, the animals were sacrified the lungs were collected from all groups and prepared for light microscopical examination.
Histological changes were detected in cadmium chloride treated group in comparison with the control group including congestion, inflammatory cell infiltration, interstial pneumonia (decreased alveolar space), thickening of interalveolar septum and damge to the alveolar cells. All these changes were eliminated by giving parsley oil.
Protecting Families: A Qualitative Study on the Implementation of Protective Measures to Prevent COVID-19 Transmission
Authors: Sawitri Ni Komang Ari , Rahajeng Indah Mei , Yanti Luh Putu Eva , Jayanti Ida Ayu Agung Novi
Published: September 2021

BACKGROUND: Health protocol compliance among family members can help curb the spread of COVID-19. However, not all families or family members can easily navigate the changes brought about by the pandemic; hence, minimizing virus transmission remains a challenge.

AIM: Therefore, observing how families implement health protocols in daily life will reveal the challenges and opportunities, and inform public health policies.

METHODS: We conducted a qualitative study by collecting data through phone interviews from November 2020 to February 2021. Eighteen families with a total of 30 individuals participated in this study. The interview data were transcribed verbatim and analyzed using thematic analysis.

RESULTS: The analysis shows that participants were actively involved in implementing protective measures to prevent transmission among their family members. Five themes emerged from the data, namely fundamental concerns, restraints and constraints, pandemic roles, compromises, and intergenerational attitudes. The themes described the families’ lives during the pandemic, their efforts in protecting family members, and the dynamic within the families related to the implementation of COVID-19 protective measures.

CONCLUSION: This study indicates that families could play a key role in both protecting and compromising the health of their family members. Families respond to the health crisis actively, but at times increase the risk to virus exposure because they have to continue going about their daily lives.
Mindfulness Meditation Based on Spiritual Care to Reduce Community Anxiety due to the Impact of Pandemic Coronavirus Disease
Authors: Hasina Siti Nur , Noventi Iis , Livana P.H. , Hartono Dodik
Published: September 2021

BACKGROUND: The spread of coronavirus disease (COVID-19) has spread throughout the world and has created a level of fear, uncertainty that has an impact on several aspects of life including mental health. The rapid spread of the Corona Virus or COVID-19 throughout the world has damaged the order of life starting from the economy, social, politics, education, culture, religion and health. Various efforts have been made by the Indonesian government with social distancing or physical distancing, washing hands with soap and staying active at home. Conditions that change suddenly will make people unprepared to deal with it, especially in the psychological condition of the Indonesian people who experience a lot of anxiety. AIM: The purpose of this study was to analyze the effect of mindfulness meditation based on spiritual care on the level of community anxiety due to the COVID-19 pandemic. METHODS: This type of research uses experimental quantitative research using a randomized controlled trial research design. This research was conducted for 4 weeks in January-February 2021. The population of this study is the Surabaya community. The sampling technique used consecutive sampling technique and was divided into two groups, namely the intervention group as many as 61 respondents and the control group as many as 61 respondents. Data analysis used paired t test and independent t test with a significance value of p < 0.05. This research questionnaire uses the DASS 42 questionnaire has reliability 0.82 and the validity test gets the Cronbach alpha value is 0.85. RESULTS: The average level of anxiety before doing the spiritual care-based mindfulness meditation intervention in the intervention group was 17.28 (severe anxiety) and 17.18 in the control group (severe anxiety) with p = 1.000 which means there is no difference in the average level of anxiety whereas After being given the intervention, the average level of anxiety in the intervention group was 6.03 (normal anxiety) and 18.06 in the control group (severe anxiety) with p = 0.000, which means that there is a difference in the average level of anxiety in the intervention group and the control group after being given the intervention. CONCLUSION: Mindfulness meditation based on spiritual care can reduce people’s anxiety levels during the COVID-19 pandemic.
Effect of Thymoquinone on Th1 and Th2 Balance in Rats Infected with Mycobacterium tuberculosis
Authors: Olivianto Ery , Endharti Agustina Tri , Kusuma H.M.S. Chandra , Santoso Sanarto , Handono Kusworini
Published: September 2021

Thymoquinone is an active compound in Nigella sativa which has potential immunomodulatory effect. Mycobacterium tuberculosis could alter the Th1 and Th2 balance by stimulating phagocyte IL-1β production, and subsequent Th2 differentiation. We aim to evaluate the effect of thymoquinone (TQ) in restore the Th1 and Th2 balance in Mycobacterium tuberculosis infection. Four groups of rats were infected with virulent Mycobacterium tuberculosis strain H37Rv. Thymoquinone at different doses was given to three groups, and one group left without treatment. Additional one group was either infected or treated with TQ. We measure IL-1β, IL-4 and IFN-γ levels using ELISA 14 days after TQ treatment. We found there were increased IL-1β, IL-4 and IFN-γ level after Mycobacterium tuberculosis infection, but we observe no significant effect of TQ treatment to Th1 and Th2 balance.  We conclude that TQ could not restore Th1 and Th2 balance in rats infected with Mycobacterium tuberculosis.
Age, growth, and population structure of endemic Telestes karsticus (Actinopterygii: Cyprinidae, Leuciscinae) from Sušik Creek, Croatia
Authors: Marćić Zoran , Komljenović Irena , Ćaleta Marko , Buj Ivana , Zanella Davor , Mustafić Perica
Published: September 2021

This study provides the first description of the age, growth, and population structure of the endemic karstic dace, Telestes karsticus Marčić et Mrakovčić, 2011, from Sušik Creek in Croatia. The oldest individual in the sample was a female of age 5+ years and the oldest males were 4+. Females of the karstic dace have a higher maximum standard length than males (122.0 vs. 95.1 mm, respectively). In both sexes, the most numerous length category was 41–50 mm. The most numerous age group of karstic dace was 1+, with a gradual decline in the abundance of older age groups. In larger length categories, males were fewer, while females showed a bimodal distribution with a second maximum in the length category of 81–90 mm. The total ratio of males to females in the sample was 2.8:1, in favor of males.
Probiotics with vitamin C for the prevention of upper respiratory tract symptoms in children aged 3-10 years: randomised controlled trial
Authors: Garaiova I. , Paduchová Z. , Nagyová Z. , Wang D. , Michael D.R. , Plummer S.F. , Marchesi J.R. , Ďuračková Z. , Muchová J.
Published: September 2021

In a double-blind, randomised, parallel-group, placebo-controlled study, healthy school children aged 3-10 years received a probiotic based supplement daily for 6 months to assess the impact on the incidence and duration of upper respiratory tract infection (URTI) symptoms. The intervention comprised Lab4 probiotic (Lactobacillus acidophilus CUL21 and CUL60, Bifidobacterium bifidum CUL20 and Bifidobacterium animalis subsp. lactis CUL34) at 12.5 billion cfu/day plus 50 mg vitamin C or a matching placebo. 171 children were included in the analysis (85 in placebo and 86 in active group). Incidence of coughing was 16% (P=0.0300) significantly lower in the children receiving the active intervention compared to the placebo. No significant differences in the incidence rate of other URTI symptoms were observed. There was significantly lower risk of experiencing five different URTI related symptoms in one day favouring the active group (Risk ratio: 0.31, 95% confidence interval: 0.12, 0.81, P=0.0163). Absenteeism from school and the use of antibiotics was also significantly reduced for those in the active group (-16%, P=0.0060 and -27%, P=0.0203, respectively). Our findings indicate that six months daily supplementation with the Lab4 probiotic and vitamin C combination reduces the incidence of coughing, absenteeism and antibiotic usage in 3 to 10 year old children.
Articuler les niveaux d’activité par les temporalités et les significations
Authors: Secheppet Mélanie , Leblanc Serge
Published: September 2021

L’optimisation de l’enseignement/apprentissage de la conduite hippomobile en France est une des missions de l’Institut français du cheval et de l’équitation. C’est autour de cet enjeu qu’un collectif de recherche s’est constitué pour étudier et accompagner la rénovation de l’environnement de formation des cochers-meneurs. Pour tenir ensemble les visées épistémiques et transformatives, nous avons choisi d’analyser l’activité des formateurs et des stagiaires en complétant l’approche anthropologique enactive par un regard socio-historique. Pour décrire, comprendre et expliquer ces activités, nous mobilisons différentes échelles d’analyse en mettant en relation une culture équestre inscrite dans plusieurs siècles d’histoire et socialement marquée, une transition institutionnelle en cours de réalisation, et les dynamiques propres des formateurs et des stagiaires. Nos résultats permettent de discuter l’articulation formation-recherche-innovation et les notions de temporalités.
Interrelations Between Process and Institutionalization of Organizational and Interorganizational Learning with Performance
Authors: Larentis Fabiano , Borelli Verena Alice , Zanotto Mayara Pires , Silva Eduardo Robini da
Published: September 2021

This study aims to verify the interrelations between process and institutionalization of organizational learning (OL) and interorganizational learning (IL) with organizational performance. We have proposed and tested a theoretical model applied to 181 companies from 14 cooperation networks of the southern region of Brazil, through a survey and using the Structural Equation Modeling. We have identified that OL process influences OL institutionalization, that in turn influences IL process, IL institutionalization and company performance. IL process influences IL institutionalization and relationship-based corporate performance, as well as company performance impact on relationship-based corporate performance. We have rejected the hypotheses regarding the relations between OL process with IL process, IL process and institutionalization with company performance and IL institutionalization with relationship-based corporate performance. The results have reinforced that although OL and IL are conceptually different, they are complementary.
A Hybrid Asset-Based IT Risk Management Framework
Authors: Cimen Baris , Mutluturk Meltem , Kocak Esra , Metin Bilgin
Published: September 2021

Information security has become one of the most important responsibilities of all organizations due to increasing cyber threats. Attackers take advantage of systems vulnerabilities; therefore, system administrators should be aware of potential threats to take necessary actions to protect their organizations and stakeholders. At this point, a risk assessment is needed to discover possible threats for vulnerable systems of the organization and to implement strategies for the business goals. This study proposes a hybrid risk management framework using both qualitative and quantitative methods to analyze risk within organizations and reduce them with practical countermeasures. Based on this framework, case studies have been carried out considering three hypothetical companies identifying possible information security risks, and these risks have been reduced to an acceptable level by applying the proposed risk analysis methodology.
SETA and Security Behavior
Authors: Yaokumah Winfred , Walker Daniel Okyere , Kumah Peace
Published: September 2021

This article contends that information security education, training and awareness programs can improve employee security behavior. Empirical studies have analyzed the direct effects of employee security training on security behavior without taking into account the mediating role of employee relations, monitoring, and accountability. Based on employee relations and accountability theories, this study proposes and tests a causal model that estimates the direct effect of employee security training on security behavior as well as its indirect effects as mediated by employee relations, monitoring, and accountability. The empirical analysis relies on a survey data from a cross section of employees from five major industry sectors and a structural equation modeling approach via SmartPLS 3.0. The results show that employee security training has indirect and significant effects on security behavior through its influence on employee relations, monitoring, and accountability. However, the result does not indicate direct and significant effect of security training on employee security behavior.
Identifying HRM Practices for Improving Information Security Performance
Authors: Kumah Peace , Yaokumah Winfred , Buabeng-Andoh Charles
Published: September 2021

This article focuses on identifying key human resource management (HRM) practices necessary for improving information security performance from the perspective of IT professionals. The Importance-Performance Map Analysis (IPMA) via SmartPLS 3.0 was employed and 232 samples were collected from information technology (IT) professionals in 43 organizations. The analysis identified information security training, background checks and monitoring as very important HRM practices that could improve the performance of organizational information security. In particular, the study found training on mobile devices security and malware; background checks and monitoring of potential, current and former employees as of high importance but with low performance. Thus, these key areas need to be improved with top priority. Conversely, the study found accountability and employee relations as being overly emphasized by the organisations. The findings raised some useful implications and information for HR and IT leaders to consider in future information security strategy.
Security Framework for Supply-Chain Management
Authors: Elangovan Kathick Raj
Published: September 2021

In recent times, cyber-attacks have been a significant problem in any organization. It can damage the brand name if confidential data is compromised. A robust cybersecurity framework should be an essential aspect of any organization. This chapter talks about the security framework for cyber threats in supply chain management and discusses in detail the implementation of a secure environment through various controls. Today, a systematic method is used for handling sensitive information in an organization. It includes processes, people, and IT systems by implementing a risk management method. Distinct controls dedicated to different levels of domains, namely human resources, access control, asset management, cryptography, physical security, operations security, supplier relations, acquisition, incident management, and security governance are provided. Companies, contractors, and any others who are part of the supply chain organization must follow this security framework to defend from any cyber-attacks.
Modeling a Cyber Defense Business Ecosystem of Ecosystems
Authors: Ishikawa Edison , Vianna Eduardo Wallier , da Silva João Mello , Fernandes Jorge Henrique Cabral , Gondim Paulo Roberto de Lira , Zelenovsky Ricardo
Published: September 2021

Providing cyber defense in a country is complex. It involves ensuring the security of various products and services that are part of a global supply chain. In this complex scenario, the challenge is the development of a cyber defense business ecosystem that, reaching a minimum level of maturity, guarantees the security of products and services in cyberspace. This work proposes a cyber defense business ecosystem of ecosystems (BEoE) model with two ecosystems that must be created or fostered, the human resources training ecosystem and the product and service homologation and certification ecosystem. These two cyber defense ecosystems are key to the sustainable growth of an entire chain of production and sourcing of cyber defense goods and services. The proposed model allows the Cyber Defense BEoE to evolve, so that different actors (companies and government agencies) with different levels of maturity in defense and cybersecurity may emerge. In this way, a country's Cyber Defense BEoE may be able to provide products and services at different levels of security for its defense system.
Implementing Continuing Professional Education Micro-Credentials in a University Context
Authors: Lang Josephine , Giglietta Karyn
Published: September 2021

Responding to unrelenting change and disruption of global macro factors, universities are rethinking the roles they play in the education landscape. The longevity of life, the complexity of the workplace, and the increasing need for workforce upskilling provide opportunities for universities to engage with lifelong learning and develop a strategic approach towards participating in the 60-year curriculum. This chapter describes the efforts of one Australian university as it commences to diversify from a dominant focus of preparing professionals to enter the professions to building a stronger program portfolio that supports ongoing professional learning. The global technological innovation of digital micro-credentials enables the university's strategic response to fulfil the need for continuing professional education. Using the university as a case study, the chapter discusses key issues and challenges in the early establishment and implementation of the strategic vision for engaging in digital micro-credentialing within the continuing professional education.
What's Missing From the College Transcript?
Authors: Cederquist Steven , Fishman Barry , Teasley Stephanie D.
Published: September 2021

This chapter describes a qualitative study of how organizations use information to evaluate and hire graduating students into entry-level positions from one pre-professional undergraduate program. The study investigates how campus recruiters and hiring managers make sense of student job applicants' cognitive, non-cognitive, and technical abilities from data presented in résumés, academic transcripts, and through various interview techniques. The findings provide insight into the opportunities and challenges to incorporating alternative representations of learning—Comprehensive Learner Records—into the recruitment and hiring process. The findings also reveal how information about learning and learners is used to establish pipelines for recruiting and hiring recent college graduates. The study informs the design of future assessment and credentialing infrastructures, with the goal of expanding how “learning” is measured, defined, and represented in higher education to enhance diversity, equity, and opportunity for learners.
Multimodal Literacy and Creative Computing Badges in a Teacher Quality Partnership Residency Program
Authors: Fayne Harriet , Bijesse Tom , Allison Paul , Rothstein Anne
Published: September 2021

Introducing micro-credentialing into Lehman College's teacher residency program provides candidates with opportunities not afforded in Master's courses of study. Through the micro-credential offerings, residents learn to integrate literacy strategies and computational thinking across subject areas and grade levels. This chapter explores how micro-credentials validate non-credit “course” structures by linking content knowledge with pedagogy and theory with practice. The design and execution of both the micro-credentials described in the chapter make explicit connection between competencies and student learning.
Sustainable Study Abroad
Authors: Panina Daria , Lane Katy
Published: September 2021

The number of business students in higher education pursuing an international experience continues to increase due to a range of opportunities offered by universities. International experiences lead to positive outcomes for students, but there is a misalignment between the countries sending students to the U.S. and the destinations chosen by U.S. students. Host countries selected by students for their international experience are the recipients of economic benefits, but they also are facing environmental and social consequences of over-tourism. As such, a more sustainable approach to the planning and selection of study abroad programs must be taken. This chapter reviews the data and trends for U.S. students studying abroad and international students studying in the U.S. and also looks more closely at the data for one large public university. Stakeholders are identified and the pros and cons of non-traditional study abroad destinations discussed. The chapter concludes by offering suggestions for designing programs in non-traditional study abroad destinations.
Reflecting and Adapting to an Academic Workplace Before and After the Lockdown in Greek-Speaking Cyprus
Authors: Lokhtina Irina , Kkese Elena Theodosis
Published: September 2021

Higher education institutions (HEIs) are required to constantly adapt and respond to the needs of society, both economic and social, including the current pandemic situation. The traditional representation of university as an educational side is being challenged leading to the inclusion of the practitioner side, emphasising on the need for business education. In this context, the present study examines how academics reflect and adapt to an HEI and enhance their workplace literacy and work-related practices inside and outside the foreign language classroom. The participants were 36 academics of all ranks involving part- and full-timers working in a private English-speaking HEI. The findings indicate that participants could need more support with the subject area that is English, and an extended access to the shared repertoire of their communities, which may strengthen their connections with other academics and reduce high job demands, resulting in better adaptation to new workplaces.
From Face-to-Face Education to Online Education
Authors: Regalado-Pezua Otto , Toro Galeano Manuel Leonardo
Published: September 2021

Currently, traditional formal education has taken an unexpected turn due to the events caused by the pandemic as a consequence of COVID-19 and social distancing, leading to educational institutions changing the way of imparting knowledge and skills, study modalities, by strengthening and prioritizing virtual education and distance education (e-learning). Under this scenario, new challenges arise and adaptation and/or creation of new processes, which the different higher education institutions are forced to adapt to remain competitive in the market. The case of a higher education institution in Lima is presented, which, from the global crisis presented by COVID-19, had to adapt to a one hundred percent virtual education. The strategy defined by the business school and the monitoring of the implemented measures is favorably influencing the student experience.
Reflective and Dynamic in Style
Authors: Souza Andressa Angelini
Published: September 2021

This chapter dives into the different components that weighted on the author's decision to pursue higher education in the United States. She compares business degrees in the US, Brazil, and Europe, explaining how each one has a different reputation in their own country and abroad. Bringing to the table a perspective of a born and raised Brazilian who was exposed to a diverse environment since an early age, she analyses the critical components included in choosing where to expand her academic career and provides both factual material and personal experience to support her decision of pursuing a business degree in the United States.
A Multi-Objective Anti-Predatory NIA for E-Commerce Logistics Optimization Problem
Authors: Sachan Rohit Kumar , Kushwaha Dharmender Singh
Published: September 2021

Nature-inspired algorithms (NIAs) have established their promising performance to solve both single-objective optimization problems (SOOPs) and multi-objective optimization problems (MOOPs). Anti-predatory NIA (APNIA) is one of the recently introduced single-objective algorithm based on the self-defense behavior of frogs. This paper extends APNIA as multi-objective algorithm and presents the first proposal of APNIA to solve MOOPs. The proposed algorithm is a posteriori version of APNIA, which is named as multi-objective anti-predatory NIA (MO-APNIA). It uses the concept of Pareto dominance to determine the non-dominated solutions. The performance of the MO-APNIA is established through the experimental evaluation and statistically verified using the Friedman rank test and Holm-Sidak test. MO-APNIA is also employed to solve a multi-objective variant of hub location problem (HLP) from the perspective of the e-commerce logistics. Results indicate that the MO-APNIA is also capable to finds the non-dominated solutions of HLP. This finds immense use in logistics industry.
Energy Resource Optimization for Home Area Sensor Networks Using Discrete Venus Flytrap Algorithm
Authors: Ramalingam Rathipriya , Settu Sivabalan
Published: September 2021

The energy resource selection (ERS) problem for home area sensor network is defined as the selection of the optimal external energy resource from the energy source station for the sensor nodes to avoid uninterrupted service and extends the network lifespan. In this paper, the discrete Venus fly-trap search algorithm (DVFS) is proposed to select the optimal energy source for sensor nodes in the HASN. Discrete Venus fly-trap search algorithm is a population-based, non-swarm intelligence search algorithm that copycats the foraging behaviors of Venus fly-trap plant.
DEPSO With DTCWT Algorithm for Multimodal Medical Image Fusion
Authors: Talbi Hassiba , Kholladi Mohamed-Khireddine
Published: September 2021

In this paper, the authors propose an algorithm of hybrid particle swarm with differential evolution (DE) operator, termed DEPSO, with the help of a multi-resolution transform named dual tree complex wavelet transform (DTCWT) to solve the problem of multimodal medical image fusion. This hybridizing approach aims to combine algorithms in a judicious manner, where the resulting algorithm will contain the positive features of these different algorithms. This new algorithm decomposes the source images into high-frequency and low-frequency coefficients by the DTCWT, then adopts the absolute maximum method to fuse high-frequency coefficients; the low-frequency coefficients are fused by a weighted average method while the weights are estimated and enhanced by an optimization method to gain optimal results. The authors demonstrate by the experiments that this algorithm, besides its simplicity, provides a robust and efficient way to fuse multimodal medical images compared to existing wavelet transform-based image fusion algorithms.
Android Malware Detection Techniques in Traditional and Cloud Computing Platforms
Authors: Vishnoi Aayush , Mishra Preeti , Negi Charu , Peddoju Sateesh Kumar
Published: September 2021

In the mobile world, Android is the most popular choice of manufacturers and users alike. Meanwhile, a number of malicious applications abbreviated as malapps or malware have increased explosively. Malware writers make use of existing apps to send malware to users' devices. To check presence of malware, the authors perform malware analysis of apps. In this paper, they provide a comprehensive review on state-of-the-art android malware detection approaches using traditional and cloud computing platforms. The paper also presents attack taxonomy to better understand security threat against Android. Furthermore, it describes various possible attacking features (static and dynamic) and their analysis mechanism. Various security tools have also been discussed. It presents two case studies: one for malware feature extraction and the other for demonstrating the use of machine learning for malware analysis in order to provide a practical insight of malware analysis. The results of malware analysis seem to be promising.
Improving Network Security Based on Trust-Aware Routing Protocols Using Long Short-Term Memory-Queuing Segment-Routing Algorithms
Authors: Muthukumaran V.  , Kumar V. Vinoth , Joseph Rose Bindu , Munirathanam Meram , Jeyakumar Balajee
Published: September 2021

Defending all single connection failures for a particular system, segment routing issue, the switch will focus on the problems of selecting a small subset of trust-aware routing to improve the deep learning (DL). In the end, even if there were multiple path failures, these paths may introduce long-term, unnecessary overload in the proposed long short-term memory networks-based queuing routing segmentation (LSTM-QRS) experience of reducing traffic delays and adjusting traffic length by reducing network bandwidth. The critical factor is a novel traffic repair technique used to create a traffic repair path that switches to software-defined network (SDN) using multiple routing and providing additional flexibility in re-routing using long short-term memory networks (LSTM)-based queuing routing segment (LSTM-QRS) algorithms. It reduces the repair path length and recommends replacing the target-based traffic with the connection-based traffic fault detection router to avoid targeted traffic network congestion.
Featured Clustering and Ranking-Based Bad Cluster Removal for Hyperspectral Band Selection and Classification Using Ensemble of Binary SVM Classifiers
Authors: Kalidindi Kishore Raju , Pardha Saradhi Varma G.  , Davuluri Rajyalakshmi
Published: September 2021

The rich spectral and spatial information of hyperspectral images are well known in the literature. The higher dimensionality of HSI creates Hughes's effect and increased computational complexity. This demands reduction for HS images as a pre-processing step. The necessary reduction of bands can be achieved by a proper band selection (BS) technique. The proposed features based unsupervised BS technique follows three subsequent steps: 1) for each band image statistical features are extracted, 2) bands are clustered with a k-means approach using the extracted features, 3) each cluster is ranked using mean entropy measure, 4) bad clusters are removed, and 5) for each selected cluster, a representative band is selected. The proposed method is validated over three widely used standard datasets and six state-of-the-art approaches using an ensemble of binary SVM classifiers. The obtained results strongly suggest the clustering is essential to reduce the redundancy, and removal of cluster is informative to keep the informative bands.
Lung Cancer Detection Using Deep Convolutional Neural Network
Authors: Abidi Syed Farhan Hyder , Sumukhi T.  , Vinod Kumar H.  , Santhosh B.
Published: September 2021

Lung malignant growth is one of the most threatening ailments affecting most of the nations in the world, and detection in earlier stages has been a challenge. Early detection can help in saving many lives. This paper shows a methodology that uses a convolutional neural network (CNN) in machine learning for the detection of tumours in the lung. The specificity of the model is desirable and dependable and increasingly productive in contrast to the accuracy shown by conventional neural system frameworks.
A Hybrid Two-Stage CNN-SVM Model for Bone X-Rays Classification and Abnormality Detection
Authors: El-Saadawy Hadeer , Tantawi Manal , Shedeed Howida A. , Tolba Mohamed F.
Published: September 2021

This paper introduces a novel automatic reliable hybrid two-stage method for bone x-rays abnormality detection. For this purpose, 10 different pre-trained convolutional neural networks architectures with different number of layers are examined. The introduced method considers the seven extremity upper bones, namely shoulder, humerus, forearm, elbow, wrist, hand, and finger. The enhanced images are fed into the first stage to classify the bone type into one of the seven bones. Thereafter, the abnormality is detected in the second stage using a specific classifier according to the bone type. Thus, the classification step consists of eight different classifiers: one for the bone classification stage and seven for the abnormality detection stage. Finally, support vector machine layer is examined as a last layer of the classification in the second stage. The best average sensitivity and specificity achieved by the first stage are 95.78% and 99.45%, and 83.25% and 83.25% for the second stage, respectively. All the experiments were carried out using MURA dataset.