bluuebunny/crossref_metadata_2025 huggingface dataset:
Adherence to Pharmacological Treatment Among Patients with Schizophrenia
Authors: Abdul Kareem Makwan , Mahmood Hezha
Published: March 2022

ABSTRACT

 

Adherence to medication is the range to which an individual corresponds with the prescribed medication dosing regimen. Medication non-adherence among patients with schizophrenia is extremely common issue, broadly ranging from 4% to 72%. Medication non-adherence among schizophrenic patients has serious consequences for individuals as well as the health system such as relapse of symptoms, re-hospitalization, aggression, suicide, cognitive deterioration, loss of job and arrest, victimization, and overall unfavorable outcome. Factors determining adherence are divided into medication-related as side effects, patient-related as lack of insight, illness-related as persecutory delusions, sociocultural-related such as stigma, and clinician-related factors like poor therapeutic alliance. Improving adherence is best achieved by exploring the reasons for non-adherence with appropriate management plans to deal with them. Adherence can be improved by providing basic strategies that must routinely accompany every prescription, and specific interventions like psycho-social ones, antipsychotic long acting injections, reminders, service interven­tions, and may be even financial incentives.
Resilience Management of Critical Cyber-Physical Systems: A Multiple Case Study Analysis
Authors: Rajamäki Jyri
Published: March 2022

Modern societies are highly dependent on different critical cyber-physical systems (CPS). The growth of software (= cyber) layer, in size and percentage of the overall system is a future trend. Our society’s critical CPS — cyber, energy, water, transportation and communication — lacks of resilience, typically losing essential functionality following adverse events. This multiple case study research analyses five prior research projects from the safety and security field. The target of the paper is to research how resilience management of critical cyber-physical systems can be understood.
Kinetic Controlled Flying of Micro Air Vehicles (MAV) for Public Protection and Disaster Relief (PPDR)
Authors: Rajamäki Jyri
Published: March 2022

We present a hands-free kinetic control method for flying of micro air vehicles (MAVs) or small unmanned aerial vehicles (UAVs) for public protection and disaster relief (PPDR). The system combines a 3D depth-sensing camera with a low-cost drone. The solution is based on Delicode Ltd’s NI mateTM software toolkit. In a study with 10 participants, the kinetic control method was tested and compared with the drone’s normal control mode. The speed to fly a certain path inside a building, and the path accuracy at checkpoints were compared between these two modes. The learning rate with the kinetic control method was found to be better than by normal control. After five attempts, an overall flying speed and path accuracy were still weaker by kinetic control method than by conventional hands-on method. However, hands-free control gives several significant benefits for PPDR applications.
Statistical Effects of Frequency Instability on Continuous Monitoring of Active and Reactive Power
Authors: Bellan Diego
Published: March 2022

This paper provides an approximate analytical approach leading to the statistical characterization of the electric active/reactive power related to the harmonics in the real-time monitoring of a power system affected by frequency instability. The effect of additive noise is also included in the analysis. Frequency instability of voltage and current waveforms is modeled as a random variable ranging within a given frequency interval. Propagation of both the uncertainty sources through the whole measurement process based on analogto- digital conversion and discrete Fourier transform is investigated. Power evaluation is performed by proper multiplication of waveforms spectra. In fact, the requirement of real-time monitoring prevents the use of sophisticated algorithms to cope with the frequency change before spectra multiplication. Analytical expressions taking into account the weighting function used against spectral leakage are derived for the bias and the standard deviation of the measured power.
Analysis of the Relationship Between the Economic Confidence Index and GDP Growth in Azerbaijan
Authors: Huseynova Arzu , Mazanova Ophelya , Mammadova Simuzar , Majidova Saadat , Aslanova Afaq , Rustamova Samira
Published: March 2022

The paper focuses on the economic policy in Azerbaijan directed to eliminate the results of the Covid-19 pandemic and the return of the country’s economy to purposeful structural reforms to ensure productivity and economic growth gradually. Today, the main goal is to direct economic policy to eliminate the results of the Covid-19 pandemic. To analyze short-term economic indicators is important to control economic development in real-time to make operational decisions and to give decision-makers early signals of turning points in economic activity. Monitoring of processes that occurred in the real sector of the economy is carried out through questionnaires. The importance of determining the economic indicators required to assess economic activity in Azerbaijan is considered appropriate. The proposed economic confidence index is considered reliable and important for analysis, forecasting. Special software provides time sequence visualization and integration capabilities. The Economic Confidence Index should assess economic activity as the preventive indicator.
Improving the Indonesian Taxation System using Tax Amnesty’s Policy
Authors: Erizal Jon , Supriyono Bambang , Santoso Bambang , Domai Tjahjanulin
Published: March 2022

The purpose of this research is to obtain an overview of the tax amnesty policy in 2016 whether it has had an impact in solving economic development policy problems in Indonesia. Another objective is to find out and gain important knowledge that might be missed in any tax amnesty policy discussion. The method used in this research is descriptive, literature study, and library research. This research uses a qualitative approach. Data collection techniques using documentation study and interviews. The economic crisis has had a major impact on tax revenue. The output of the amnesty policy was said to be successful because the achievement of the value of the declaration exceeded the target. The repatriation target is not successful, not just a matter of policy implementation, but other supporting policies such as profitable projects or businesses that are not ready and cannot be realized with shortcuts, because it takes time because they are related to the economic structure of a country. The originality of this study, when compared to previous studies, is that there are deviations from the assumptions and theories of policy factor analysis, policy process analysis, and policy impact analysis.
BUFFON’S COIN AND NEEDLE PROBLEMS FOR THE RHOMBITRIHEXAGONAL TILING
Authors: Vassallo Salvatore
Published: March 2022

In this paper we consider the rhombitrihexagonal tiling of the plane $(3, 4, 6, 4)$ Archimedean tiling and compute the probability that a random circle or a random segment intersects a side of the tiling.
Fuegos y prácticas sociales agropastoriales del primer milenio en Antofagasta de la Sierra, Puna Meridional Argentina.
Authors: Rodriguez Maia del Rosario
Published: March 2022

La estructura de combustión central de la Estructura 3 de Punta de la Peña 9.I, Antofagasta de la Sierra, Catamarca, es un caso de estudio que refleja las prácticas sociales desarrolladas por las sociedades agropastoriles que habitaron el área durante el primer milenio. Las prácticas asociadas a las estructuras de combustión como son la recolección de las leñas, la selección de las especies según determinados criterios, la construcción de las estructuras de combustión y las actividades que se desarrollan en la misma, configuran un ensamblaje de relaciones entre humanos y no humanos, entre la comunidad y el paisaje que conlleva a la co-construcción de las prácticas sociales. La estructura de combustión es un espacio que nuclea un gran número de relaciones que determinan una forma de “ser” y moverse en el espacio y a partir del cual otras relaciones y prácticas se llevan a cabo.
A scoping review protocol of systematic reviews and meta-analyses to acupuncture for the treatment of peripheral facial paralysis
Authors:   Hubei University of Chinese Medicine, Zhang Yingrong , Tan Sanchun , Wang Jieyu , Zhang Yanji , Huang Mengyuan , Xia Hongjie , Hu Yaxin , Rao Yinyue , Zhou Zhongyu
Published: March 2022

Review question / Objective: To conduct a systematic comprehensive review for Acupuncture treatment of peripheral facial paralysis and to evaluate the efficacy and safety of acupuncture therapy for peripheral facial paralysis. Condition being studied: Peripheral facial paralysis, known as peripheral facial never palsy, includes Bell’s palsy and Ramsay Hunt syndrome.Any medical conditions such as infection, malignancy and autoimmune issues can result it. Idiopathic Bell's palsy is the most common disease causing peripheral facial nerve palsy, which clinical features include unilateral weakness of the facial nerve, hyperacusis, dysgeusia, dry eye or uncontrollable tears, but the etiology of it is unclear. Ramsay Hunt syndrome, less common than Bell’s palsy, is often caused by herpes zoster virus, which clinical features are unilateral weakness of face with ear herpes, tinnitus and dizziness. Facial paralysis patients with ear herpes can be diagnosed with Ramsay Hunt syndrome. Peripheral facial paralysis not only result the dyskinesia of facial muscles but also affect the quality of patient’s life.There are lot of evidence shows that Acupuncture can be used in any period and any kind of peripheral facial paralysis.However, we still lack systematic reviews to assess the efficacy and safety of acupuncture therapy. As a result, we conduct a scoping review of systematic reviews and meta-analyses to address this gap.
Sustainable heating system by infrared radiators
Authors: Radhi Sabaa S. , Al-Khafaji Zainab S. , Falah Mayadah W.
Published: March 2022

Maintaining the optimum temperature in the living quarters is the key to a comfortable stay. Due to the lack of a central heating system or in the event of its insufficiency, they resort to the installation of additional heat sources. There is a wide range of devices on the market with different operating principles, hence the difficulty of which is better - a convector or infrared heater. A comparative analysis of devices will help you make the right choice. Asking the question of which is better a convection heater or an infrared heater, one must decide on its role in heating the house. It is better to use them as additional equipment with an existing heating system. One of the effective sources of additional heating are infrared radiators. Its principle of operation is based on infrared radiation, which provides a quick and qualitative increase in temperature in any part of your apartment. Today, more and more people prefer infrared radiators. From the usual electric convector, they differ in that they heat not the air in the room, but hard surfaces (floors, walls) and objects, and these, in turn, leak heat into the surrounding space. So, the entire room is heated up unnoticeably.
HUBUNGAN DUKUNGAN KELUARGA DENGAN KUALITAS HIDUP PENDERITA DIABETES MELITUS TIPE 2 DI PUSKESMAS KELING 1 KABUPATEN JEPARA
Authors: Pranata Meki , Fatiha Chilmia Nurul , Santoso Arifin , Putri Fadya Rahma
Published: March 2022

Diabetes Melitus (DM) adalah kelainan metabolisme yang terjadi karena kurangnya hormon insulin dengan ditandai oleh kenaikan kadar glukosa darah diatas normal. Penelitian ini mempunyai tujuan dalam menganalisa hubungan dukungan keluarga dengan kualitas hidup penderita Diabetes Melitus Tipe 2 di Puskesmas Keling 1 Kabupaten Jepara.
Penelitian ini merupakan penelitian observasional analytic dengan desain cross sectional study dan metode pengambilan sampel menggunakan purposive sampling. Instrumen yang digunakan adalah kuesioner HDFSS (Hensarling Diabetes Family Support Scale) dan DQOL (Diabetes Quality of Life). Uji statistik menggunakan uji korelasi pearson dan chi-square untuk menganalisis hubungan dukungan keluarga dengan kualitas hidup penderita Diabetes Melitus Tipe 2.
Hasil penelitian mayoritas responden 85,7% mempunyai dukungan yang tinggi dan sebagian dari responden 88,1% mempunyai kualitas hidup tinggi. Dari hasil chi-square dan korelasi pearson hubungan dukungan keluarga dengan kualitas hidup Diabetes Melitus Tipe 2 dihasilkan p-value 0,000. Uji chi-square dan pearson corellation dimensi emosional p < 0,000, dimensi penghargaan p < 0,000 dan dimensi informasi p < 0,000 dan dimensi instrumental p = 0,159.
Responden dukungan keluarga dengan kualitas hidup menunjukkan terdapat hubungan dukungan keluarga dengan kualitas hidup penderita Diabetes Melitus Tipe 2. Uji domain dukungan keluarga seperti domain emosional, penghargaan dan informasi terdapat hubungan bermakna terhadap kepuasan dan dampak dari penyakit kualitas hidup. Sedangkan domain instrumental tidak terdapat hubungan dimensi instrumental dengan kepuasan dan dampak dari penyakit kualitas hidup penderita Diabetes Melitus Tipe 2 di Puskesmas Keling 1 Kabupaten Jepara.
Survey on Context Aware Computing and IoT Environment
Authors:   Assistant Professor, Department of Information Technology, Coimbatore Institute of Engineering and Technology, Coimbatore., N Mithraa , N SASIKALA ,   Assistant Professor, Department of Information Technology, Coimbatore Institute of Engineering and Technology, Coimbatore., K THENMOZHI ,   Assistant Professor, Department of CSE Coimbatore Institute of Engineering and Technology, Coimbatore., G PRIYANKA ,   Assistant Professor, Department of CSE Coimbatore Institute of Engineering and Technology, Coimbatore.
Published: March 2022

Context awareness enables the system to collect the information about the environment at any time and act according to it. It makes use of hardware as well as software to collect and analyze the data automatically. The mobile users particularly the smart phone users are mostly focused by context due to it’s pliability and is often used as a part of ubiquitous and wearable computing. The Internet and upcoming technologies combine to transform every object into smart objects. Where this can be applied to user’s activities on the device or to the physical environment in which the device is being use. Here we survey the context awareness from an IoT perspective to help users by automating the task of selecting the sensors according to the problems/tasks at hand.
Implementation of FPS Based Electronic Voting Machine Using GSM and Hex Key Pad
Authors:   Department of ECE, Pranveer Singh Institute of Technology, Kanpur., Jain Ankit , Kushwaha Sushil ,   Department of ECE, Maharana Institute of professional studies, Kanpur., Kashyap Meena ,   Department of INE, Maharshi Parshuram College of Engg,Velneshwar.
Published: March 2022

The base of democracy is voting. Each vote is important thus recording and tallying of each vote with accuracy and impartiality is important. Voting is one of the electoral routes that ensure the sustenance of democratic system in any civilization. But rigging is one of the biggest problems during the election using EVMs. The possible rate of rigging in the EVMs is five votes per minute. So, to set right the current problems in Indian voting system the aim of electronic voting system using fingerprint technique is to design an Electronic Voting Machine (EVM) system by using embedded system to eliminate the chances of rigging in an election. In this proposed system fingerprint technique is used. The vote will be confirmed in the favor of a candidate only when the fingerprint of the voter will be matched otherwise the vote will be rejected. The problem of booth capturing and multiple votes casted by single person is being addressed here. User would be able to get the message in his/her cell phone in order to ensure and acknowledging the successful casting of vote like VVPAT do in EVM. We can do on spot registration of the voter as well if candidate does not have finger print data available in EVM.
Addenda and corrigenda: Gutiérrez N, Toledo-Hernández VH, Noguera FA (2020) Four new species of Phrynidius Lacordaire (Coleoptera, Cerambycidae, Lamiinae) from Mexico with an identification key for the genus. ZooKeys 1000: 45–57. https://doi.org/10.3897/zookeys.1000.56757
Authors: Gutiérrez Nayeli , Toledo-Hernández Víctor H. , Devesa Sergio , Chamé-Vázquez Eduardo Rafael , Noguera Felipe A.
Published: March 2022

After describing Phrynidius jonesi Gutiérrez, Toledo & Noguera, 2020 (Coleoptera, Cerambycidae, Lamiinae), the authors had the opportunity to study a conspecific individual of this species and recognize that the holotype had been erroneously determined as a male when in fact it was a female. Here, we rectify this error and provide morphological information for the identification of both sexes. Additionally, we record Phrynidius armatus Linsley, 1933 from Chiapas, Mexico. Finally, we document P. cristinaeGutiérrez et al. 2020 feeding on a fungus, which represents the first record for any species of the genus Phrynidius with this adult feeding habit.
L’indépendance est morte, vive l’indépendance. Entre contraintes matérielles et enjeux symboliques : une analyse de l’évolution de « l’indépendance » dans le rap en France
Authors: Garcia Paco
Published: March 2022

Cette contribution propose de s’intéresser à l’actuelle hégémonie des « musiques urbaines » dans l’industrie phonographique française en la liant notamment à la notion d’indépendance, mobilisée par un ensemble hétérogène d’acteurs dans le monde social du rap en France. À travers la trajectoire du distributeur français Musicast, mais aussi d’artistes mobilisant la notion d’« indépendance », il s’agira de revenir sur le concomitant développement de la distribution alternative aux majors du disque et des réseaux socionumériques. Ces analyses nous mèneront à esquisser ce qui pourrait être une nouvelle configuration pour les musiques actuelles, entre recentrement des majors sur la distribution et importance croissante des intermédiaires et pure players. Ce faisant, les modalités présentes de « filiarisation » seront étudiées.
Les Cent jours du royaume de Syrie (1918-1920)
Authors: d’Andurain Julie
Published: March 2022

À l’issue de la Grande Guerre, Fayçal, fils de Hussein chérif de La Mecque, apparaît comme un partenaire des Alliés. Soutenu par les Britanniques, il montre une impatience croissante à former un royaume. Acclamé roi de Syrie en mars 1920 par une assemblée parlementaire auto-proclamée, laquelle est aussitôt considérée comme illégale par les Alliés, Fayçal tente d’organiser un État bien qu’il dépende financièrement et matériellement de la France et de l’Angleterre. Les choix effectués – élaboration d’un drapeau, décision de battre monnaie et de recruter une armée – montrent qu’il met en œuvre des outils régaliens et symboliques alors même que ses anciens alliés se dissocient progressivement de ses prises d’initiatives.
Une offensive antisémite de Radio-Paris contre le ministère de l’Agriculture de Vichy
Authors: Arditi Roger
Published: March 2022

En janvier 1941, Radio-Paris accusa le ministère de l’Agriculture de complaisance envers ses employés juifs, estimés à 150 individus. Le ministère se défendit en indiquant qu’il n’y en avait qu’une quinzaine et en démontrant qu’il avait bien appliqué les licenciements requis par le statut des juifs. L’auteur de l’éditorial, Henri Philippon, était un journaliste de La France au travail , quotidien de la collaboration qui imitait L’Humanité , organe interdit du Parti communiste. Son rédacteur en chef, Charles Dieudonné (pseudonyme de Georges Oltramare), agissait sous les ordres d’Otto Abetz, l’ambassadeur d’Allemagne. Cet épisode s’inscrit dans le cadre de l’offensive menée par Abetz contre Pétain à la suite du limogeage de Laval. Nous complétons par des éléments biographiques sur Oltramare et sur Philippon.
Nos jeunes enfants à l’ère de la pandémie
Authors: Casso-Vicarini Nathalie
Published: March 2022

La pandémie du Covid‑19 touche particulièrement les jeunes enfants, les plus vulnérables et les plus malléables de nos sociétés. Tout porte à croire que l’isolement et la distanciation sociale sont contre-nature. De nouvelles connaissances issues des neurosciences nous fournissent d’autres clefs de compréhension du développement des jeunes enfants, de leurs émotions, que nous explorons, en suivant Alex et sa maman dans les méandres de cette année inouïe, entre défis, risques, promesses et nécessités.
Cardiovascular and locomotory parameters during training in Thoroughbred racehorses: a multi-national study
Authors: Schrurs C. , Dubois G. , Patarin F. , Cobb M. , Gardner D.S. , Van Erck-Westergren E.
Published: March 2022

Studies assessing concurrent speed, cardiovascular physiology and biomechanical parameters in racehorses during training have been rarely reported, mostly due to a lack of available comprehensive technology. Here, using a validated device (the ‘Equimetre’™) that records all parameters simultaneously, we report the effect of increased training speed and thus intensity, from slow canter to hard gallop, on racehorse heart rate, heart rate recovery and on biomechanical parameters, such as stride length and frequency. We also demonstrate the effects of varying track surface, horse age and sex. Cohorts comprised a total of 509 Thoroughbred racehorses in-training in either Australia or France, completing a total of 1,124 and 6,016 training sessions, respectively. Horses varied by age (2-9 years old) and sex (including geldings) and were trained by either a single trainer (Australia) or two trainers (France); both using multiple training centres that varied by track surface (sand, turf or fibre). Data were analysed using Analysis of Variation (ANOVA) or linear mixed-effect models as appropriate. Racehorses increased speed predominantly by an increment in stride length, then frequency, both of which varied according to track surface (shorter stride on sand; P<0.001). Cardiovascular parameters (peak, and recovery of, heart rate) increased with training intensity, but not linearly (P
trend<0.001). Older horses recorded lower heart rate at 15 mins after training (P=0.002), often due to lower achieved peak heart rate at most training intensities (P<0.001 for the cohort in Australia). In conclusion, this immersive field study demonstrates the value of technology for recording physiological and biomechanical parameters of racehorses-in-training. The data could inform trainers, jockeys and owners on aspects of individual racehorse health, welfare and suitability for certain races.
In vitro degradation of non-starch polysaccharide residues in the digesta of broilers offered wheat-soy or maize-soy diets by feed enzymes
Authors: Kim E. , Morgan N.K. , Moss A.F. , Solbak A. , Li L. , Ader P. , Choct M.
Published: March 2022

The present study evaluated the in vitro efficacy of different feed enzymes on degrading non-starch polysaccharide (NSP) residues present in digesta collected from broilers’ gastrointestinal tract. Two dietary treatments, wheat-soy or maize-soy based diets, were assigned to broilers (12 replicates per treatment; 10 birds per replicate pen) from d 0 to 35. At 35 d of age, digesta was collected from the gizzard, jejunum and ileum from three birds per replicate and pooled. The digesta samples were digested in vitro with one of nine enzymes; GH10, GH11 and GH8 xylanase, arabinofuranosidase, a combination of GH10 xylanase and β-glucanase (XYN+BG), β-mannanase, protease, cellulase cocktail and pectate lyase. When using the gizzard digesta as substrate, GH8 xylanase reduced (P<0.005) both insoluble and soluble NSP levels compared to the control, regardless of diet type. Analysis of NSP degradation in jejunal digesta from birds fed the wheat-soy diet revealed that the three xylanases and arabinofuranosidase reduced (P<0.001) insoluble NSP level compared to the control, but the soluble NSP level was not affected by the enzyme treatments. All enzymes, except the cellulase cocktail and pectate lyase, reduced (P=0.005) the insoluble NSP level in the jejunal digesta collected from birds fed the maize-soy diet. Similarly, all enzyme preparations reduced (P<0.001) the insoluble NSP level in ileal digesta obtained from birds fed the maize-soy diet. The GH10 and GH11 xylanase, XYN+BG, cellulase cocktail and pectate lyase reduced (P<0.001) the insoluble NSP level in the ileal digesta from birds fed the wheat-soy diet compared to the control, with XYN+BG exhibiting the greatest reduction. Collectively, the present in vitro study indicated that the in vitro efficacy of enzyme preparations was dictated by the amount and type of NSP remaining undigested in various parts of the gut, which perhaps affect the in vivo efficacy.
A new strategy in rearing of European flounder: using live Enchytraeus albidus to enhance juvenile growth
Authors: Holmstrup M.E. , Gadeberg S.F. , Engell-Sørensen K. , Slotsbo S. , Holmstrup M.
Published: March 2022

This study reports the use of the annelid worm Enchytraeus albidus as a live feed for reared juvenile European flounder, Platichthys flesus. We investigated growth, lipid composition and mortality in small scale (hundreds of fish) and large scale (thousands of fish) rearing. Live Enchytraeus had a relatively low content of the essential omega-3 fatty acid, docosahexaenoic acid (DHA), but similar levels of other essential fatty acids and amino acids as the normally used commercial dry feed. Despite low DHA levels in live worms, juvenile flounder fed Enchytraeus grew twice as fast as fish fed commercial dry feed. DHA levels in membrane phospholipids of juvenile flounder became depleted when fed Enchytraeus, but this had no apparent negative consequences for development or health of the fish. Our study suggests that the use of Enchytraeus as a live feed for European flounder is feasible at a large scale.
A dynamic hop to cricket consumption: factors influencing willingness to try insect-based food
Authors: Padulo C. , Carlucci L. , Balsamo M. , Fairfield B.
Published: March 2022

As global population continues to increase, identifying and adopting new food sources, that allow sustainable consumption and production approaches, is crucial. Consuming edible insects may be a promising and sustainable strategy. Yet insects are still considered a primitive food source in many Western countries. In this study, our general aim was to investigate consumer characteristics that may increase the willingness to try insect-based products. One-hundred and five participants took part in a two-stage uncontrolled pre-post trial experiment (survey and consumer acceptability), with an initial information session about entomophagy, that is consuming edible insects. We collected data regarding sociodemographic characteristics, disgust, food neophobia, health index and big-five personality traits, and asked participants to try an insect-based product (i.e. energy bar). We examined aspects affecting willingness to try insect-based products and compared disparities in beliefs and attitudes about insects in individuals willing to taste an insect-based product and in those who were not. Finally, we evaluated possible changes in beliefs and attitudes about insects before and after a tasting experience. Our results indicate that the major obstacles to acceptability and consumption of insect-based food seem to be related to anticipated aversion, neophobia and disgust, even after an initial information session about entomophagy, designed to increase the willingness to taste an insect-based product. Also, we found that even a single tasting experience can decrease aversion and consequently diminish disgust and the idea that insects are non-edible in the Italian culture. We found that dynamism (i.e. extraversion) may also be a driver of willingness to try insect-based products. Our results suggest that tasting experiences may be necessary in order to improve consumer acceptance of edible insects and to promote insect marketing. Finally, our findings highlight the usefulness of marketing strategies such as compelling advertisements designed to attract extrovert individuals, a possible target population.
Bioconversion of fresh chicken excreta by housefly larvae (Musca domestica L.) in relation to excreta sterilisation and carbohydrate addition
Authors: Pisa L. , Oonincx D.G.A.B. , Bosch G. , Hendriks W.H.
Published: March 2022

Housefly larvae can be reared on manure and used as animal feed. Larvae can utilise proteins and easily digestible carbohydrates and have a largely unknown relation with microorganisms. The hypothesis addressed in this study was that larvae compete with microorganisms for easily digestible carbohydrates such as starch. This was tested by adding starch or (non-digestible) fructo-oligosaccharides (FOS) to unsterilised or heat-sterilised fresh chicken excreta. Experimental substrates were unsterilised excreta (E), sterilised excreta (sE) with either starch (E + star, sE + star) or FOS (E + FOS, sE + FOS). The highest wet yield (9.7 g) and heaviest larvae (13.2 mg) were on sE + star, followed by E (7.2 g and 8.1 mg). Both E + FOS and sE + FOS had minimal yields and larval weights (0.3 and 0.2 g, 2.9 and 1.7 mg) with E + star intermediate (3.3 g and 7.5 mg). Survival differed between diets, sE and E averaged 70%, sE + star 57%, E + star 33% with 9% for E + FOS and sE + FOS. DM bioconversion decreased from E (3.5%), sE + star (3.1%), sE (2.6%), E + star (1%) to E + FOS and sE + FOS (0.1%). Nitrogen bioconversion was highest on sE + star (9.9%) and E (9.3%), lower on sE (6.6%), E + star (4%) and the lowest on E + FOS and sE + FOS (0.5%). Different substrate temperature profiles during the larval growth period and different larval size distributions were found for the different substrates. The results support the hypothesis that larvae compete with microorganisms for an easily digestible carbohydrate (starch).
Unravelling the potential of cricket-based hydrolysed sourdough on the quality of an innovative bakery product
Authors: Rossi S. , Parrotta L. , Gottardi D. , Glicerina V.T. , Duca S. Del , Rosa M. Dalla , Patrignani F. , Schlüter O. , Lanciotti R.
Published: March 2022

The purpose of this research was to evaluate the potential of a sourdough containing cricket powder hydrolysate by the RO25 Yarrowia lipolytica strain to produce an innovative bakery product. RO25 hydrolysed cricket bread (RO25H-CB) was compared with control bread obtained from a traditional sourdough using wheat flour and with an additional bread control obtained from no-hydrolysed cricket powder sourdough. The results obtained showed that RO25H-CB had a highest amount of proteins and free fatty acids than wheat control bread, attributed to the well-known proteolytic and lipolytic activities of Y. lipolytica. Moreover, RO25H-CB sample was characterised by high content of health-promoting and aroma precursors lipids as well as a lowest biogenic amine index among samples analysed, suggesting for this sample a high overall quality respect to no hydrolysed cricket powder bread. Finally, the data relating the sensory analysis highlighted good application opportunities for RO25 cricket hydrolysate as ingredients for baking. In fact, RO25H-CB had received positive evaluations for almost all the parameters considered. These results demonstrated that hydrolysates from Y. lipolytica, compared to the no hydrolysed cricket, were able to impart specific sensory and qualitative characteristics to the final product, with positive feedback from the involved panellists.
On a parabolic partial differential equation and system modeling a production planning problem
Authors: Covei Dragos-Patru
Published: March 2022

We consider a parabolic partial differential equation and system derived from a production planning problem dependent on time. Our goal is to find a closed-form solution for the problem considered in our model. Our new theoretical results can be applied in the real world.
A non-iterative sampling method for inverse elastic wave scattering by rough surfaces
Authors: Zhu Tielei , Yang Jiaqing
Published: March 2022

Consider the two-dimensional inverse elastic wave scattering by an infinite rough surface with a Dirichlet boundary condition. A non-iterative sampling method is proposed for detecting the rough surface by taking elastic field measurements on a bounded line segment above the surface, based on reconstructing a modified near-field equation associated with a special surface, which generalized our previous work for the Helmholtz equation (SIAM J. Imag. Sci. 10(3) (2017), 1579-1602) to the Navier equation. Several numerical examples are carried out to illustrate the effectiveness of the inversion algorithm.
Estimation of finite population mean in presence of maximum and minimum values under systematic sampling scheme
Authors: Iftikhar Anum , Shi Hongbo , Hussain Saddam , Qayyum Ather , El-Morshedy M. , Al-Marzouki Sanaa
Published: March 2022

Estimators for the finite population mean of the research variable are proposed in this article, employing ratio, product, and regression type estimators, all of which need just one auxiliary variable. A first-order approximation is developed for the mean squared errors of the techniques provided. It has been proven theoretically that the suggested estimators perform better than current estimators, and these theoretical conditions have been validated numerically using four data sets.
Asymmetric interdependencies between cryptocurrency and commodity markets: the COVID-19 pandemic impact
Authors: Jareño Francisco , De La O González María , Belmonte Pascual
Published: March 2022

Using NARDL methodology, this research investigates some asymmetric and non-linear interconnections between leading cryptocurrency and commodity returns. Thus, this study explores potential interconnections between these cryptocurrencies and commodity markets in the period between March 07, 2018, and March 26, 2021. This paper splits the entire sample period into two independent sub-periods in order to enhance robustness: pre-COVID and COVID, to examine the impact of the pandemic on these markets. Our results confirm that the most relevant interconnection (in terms of cointegration, short- and long- asymmetry, and the persistence of the lags) between cryptos and commodities is focused on COVID-19, the pandemic sub-period, in line with previous literature. Finally, the study reveals that some cryptocurrencies such as Tether could serve as a diversifying asset or even a safe haven, in certain scenarios, in investment strategies.
Cognitive bias in physics, with respect to Einstein’s relativity, is demonstrated by the famous experiment of Pound and Rebka (1960), which in reality refutes Einstein’s general relativity
Authors: Ziefle Reiner Georg
Published: March 2022

Einstein’s general relativity postulates that, at each positon within a gravitational field, we must measure the same frequency f 0, but seen from a distance, the frequency at the position of another gravitational potential is different from f 0.
As gravity decreases with the increase in the distance from Earth, in the Pound‐Rebka experiment at the top of the tower, the frequency of electromagnetic radiation must be higher than at the bottom. If electromagnetic radiation was able to have the same frequency f 0
at the top of the tower as at the bottom of the tower, an observer at the top of the tower would have to be able to increase gravity to the same level that gravity has at the bottom. But the decrease in gravity with an increase in the altitude cannot be reversed. It is demonstrated that the
relativistic interpretation of the Pound‐Rekba experiment showing a doubling of the gravitational frequency shift for “two-way” observations violates the principle of energy conservation, whereas the classical interpretation of the experiment identifies the doubling of the
gravitational frequency shift as a pure mathematical effect that has no physical reality, which always occurs when we subtract relative differences with opposite algebraic signs from each other. It is shown that Einstein’s general relativity only seemingly corresponds with reality; thus,
gravitational frequency (time) shifts must be interpreted according to classical considerations.
AUTOMATED CLASSIFICATION OF AUTISM SPECTRUM DISORDER USING EEG SIGNALS AND CONVOLUTIONAL NEURAL NETWORKS
Authors: Mohi ud Din Qaysar , Jayanthy A. K.
Published: March 2022

Children suffering from Autism Spectrum Disorder (ASD) have impaired social communication, interaction and restricted and repetitive behaviors. ASD is caused by abnormal brain developments which give rise to the behavioral characteristics associated with ASD. The clinical diagnosis of ASD is performed on the basis of behavioral assessment and it causes a time delay in early intervention, as there is a time gap between abnormal brain developments and associated behavioral characteristics. Electroencephalography (EEG) is a technique which measures the electrical activity produced by the brain and it has been used to detect several neurological disorders. Studies have shown that there is a variation in the EEG signals of a normal subject and EEG signals of ASD subjects. In this study, we obtained scalograms of EEG signals by using Continuous Wavelet Transform (CWT). Pre-trained deep Convolutional Neural Networks (CNNs) such as GoogLeNet, AlexNet, MobileNet and SqueezeNet were used for extracting the features from scalograms and classification of obtained scalograms from EEG signals of normal and ASD subjects. We also used Support Vector Machine (SVM) algorithm and Relevance Vector Machine (RVM) for classification of the features extracted by the deep CNNs. The GoogLeNet, AlexNet, MobileNet and SqueezeNet deep CNNs achieved a validation accuracy of 75%, 75.84%, 79.45% and 82.98% in classifying the scalograms generated from EEG signals. The SVM achieved an accuracy of 71.6%, 74.76%, 70.70% and 81.47% using GoogleNet, Mobilenet, AlexNet and SqueezeNet for scalogram feature extraction. The RVM achieved an accuracy of 65.5%, 69.9%, 65.3% and 72.59% when used for classification using the features generated from GoogLeNet, AlexNet, MobileNet and SqueezeNet.The SqueezeNet deep CNN performed better than GoogLeNet, AlexNet and MobileNet for classification of the EEG scalograms. The feature extraction using SqueezeNet also resulted in better classification accuracy obtained by SVM and RVM. The results indicate that pre-trained models can be used for classifying the ASD using scalograms of the EEG signals.
A Novel Approach for Tenuous Community Detection in Social Networks
Authors: Asif Muhammad , Raza Hassan , Manzoor Muhammad Imran
Published: March 2022

Tenuous community detection in social networks is becoming an interesting area of research and its various important applications are emerging. Existing research has focused on the identification of a dense community. However, finding the tenuous community has posed a different kinds of challenges and existing solutions are not viable for this research problem. In this paper, a novel approach called the least linked community (LLC) is proposed to find a tenuous community from online social networks. The concept of k-links with the shortest path distance between two nodes is proposed and utilized to find a community with the least interaction and weak relationships.The experiment demonstrated significant results in terms of accuracy, effectiveness, and efficiency compared to other existing techniques. Although the proposed algorithm presents significant results it may require further evaluation with different data sets.
Virtual Kernel Discriminative Dictionary Learning With Weighted KNN for Video Analysis
Authors: Benuwa Ben-Bright
Published: March 2022

Recently Kernel-Based Discriminative Dictionary (KDDL) for Video Semantic Content Analysis (VSCA) has become very popular research area, particularly in Human Computer Interactions and Computer Vision decades. Nonetheless, the existing KDDL approaches based on reconstruction error classification, coupled with sparse coefficients do not fully consider discrimination, which is essential for classification performance between video samples, despite their numerous successes. In addition, the size of video samples, an important parameter in kernel-based approaches is mostly ignored. To further improve the accuracy of video semantic classification, a VSC classification approach based on Sparse Coefficient Vector and a Virtual Kernel-based Weighted KNN is proposed in this paper. In the proposed approach, a loss function that integrates reconstruction error and discrimination is put forward. The experimental results show that this method effectively improves recognition and classification accuracy for VSCA compared with some state-of-the-art baseline approaches.
Full Electric Vehicles
Authors: Baig Muhammad Ali
Published: March 2022

Full Electric Vehicles (FEVs) are among one of the three kinds of hybrid electric vehicles. FEVs are such motorized vehicles which utilize onboard electric motor or a couple of motors driven solely by batteries which use the stored charge on them as a fuel. FEVs do not drink up any petro-chemical fuel and consequently, do not emit greenhouse gases – decreasing harmful emissions. The concept and use of FEVs dates back to the 1890s when Lohner-Porsche produced the first full electric vehicle known as P1. FEVs provide with such a framework to lower the greenhouse gases to contribute in lessening the climate change and global warming. The paper essentially contends and elucidates that how and why FEVs can replace conventional internal combustion vehicles in a developing country like Pakistan while contributing positively in reducing the burden on economy and environment and making daily life comfortable while preventing the planet earth from global warming and climate change.
Exploring the Use of an Integrated Financial Management Information System (IFMIS) in the Local Government Institutions in Ghana
Authors: Tetteh Lexis Alexander , Muda Paul , Susuawu Daniel , Sunu Prince , Aneyire Thompson Kubaje
Published: March 2022

The study uses neo-institutional sociology (NIS) and innovation diffusion theory (IDT) to explore the benefits, enabling and constraining factors that influence local government institutions in Ghana to use integrated financial management information system (IFMIS) for the management of public financial resources. Based on a case study of the Metropolitan, Municipal and District Assemblies (MMDAs), the study adopts qualitative case study approach to execute the study. In addition, eighty-six (86) participants who use the IFMIS for their routine operations were identified through purposive sampling for interview. The findings suggest that, despite the immense benefits associated with the technology usage, regulatory, environmental and organization factors were the enabling factors that shaped the use of the GIFMIS to achieved the success recorded so far. Furthermore, technological factors, as well as the socio-cultural characteristics, should not be underestimated, as these factors are crucial barriers to IFMIS use.
The Environment of Task Procrastination
Authors: Bellini Carlo Gabriel Porto , Pereira Rita de Cássia de Faria , Correia Rony Rodrigues
Published: March 2022

Procrastination is an important source of losses in organizational productivity. It is also an interpersonal concern in work teams, and often the cause of personal frustration. Rich accounts exist in the scholarly literature about an individual’s personality and behavioral traits able to explain procrastinatory attitudes, but the environmental factors that moderate procrastination are less understood, and especially not so in information technology (IT) research. Our study is a systematic review of the literature in four behavioral sciences. It seeks to organize procrastination-related factors that are external to the individual, and to present implications for the IT workplace. Broadly, we conclude that the IT workplace is a rich tapestry of positive and negative sources of procrastination influences weaved into the timely fulfillment of tasks. We also reach at a surprisingly new understanding of Leavitt’s system model (a model that has been in use for decades in the study of IT phenomena), i.e., the existence of forces that act in opposite directions regarding procrastination.
Natural Fibers Reinforced Mortars: Composition and Mechanical Properties
Authors: Majumder Arnas , Farina Ilenia , Stochino Flavio , Fraternali Fernando , Martinelli Enzo
Published: March 2022

For ages, natural fibers have been used as building materials. In the last centuries the man-made fibers, steel and concrete have predominantly dominated construction sector. Climate change has highlighted the importance of sustainable construction that can reduce the carbon footprint and the application of green, natural, recyclable and sustainable. In this work, the chemical composition and the effectiveness of jute fibers used as reinforcement in thermal and structural mortars. Therefore, the physical properties of both jute fiber and composite were determined by Scanning Electronic Microscope (SEM), which show a good compact microstructure in case of structural mortar and bonding inhomogeneity in case of thermal mortar. The fibers improved ductility of the mortars, yet reducing their flexural and compressive strengths.
Structural Performance of Reinforced Cement Concrete Beam with Sawdust
Authors: Tawfeeq Wadhah Muwafaq , Alaisaee Hazaa , Almoqbali Younis , Alsaadi Asma , Almaqbaliy Khadija
Published: March 2022

Sawdust materials are important for several reasons. They are cheap, lightweight, and have high insulation properties. Some of this material is incorporated into the concrete as part of the cement binder phase and as gravel. Micro-cracks and defects in concrete are responsible for the low tensile strength of concrete. This study proposes the use of sawdust as a partial replacement for fine aggregate. By volume, the sawdust gradually replaced the sand with a replacement percentage that varied from 0% to 100%. Nine reinforced concrete beams with a cross-section of 90 mm × 150 mm × 1000 mm (width × depth × length) and different replacement percentages were cast and tested after 28 days. All concrete beams are supported, with two simple supports at the ends of the beam and a loading point at the center of the beam to apply load gradually using 100 kN load cells and transverse frames. The addition of sawdust results in a reduction in the flexural strength of concrete beams. The flexural reinforced concrete beam test results were compared to the design strength calculated using British Standards. According to the results of the study, both the compressive and tensile strength of concrete decreased as sawdust content increased. The weight of the sawdust concrete mixture decreased with increased sawdust content. When the replacement percentage of sand was between 5% and 20%, the sawdust concrete mixture showed good results for the structural performance of the reinforced concrete beam.